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McLeigh JD, Singh G, Huang R. The Impact of Health Status on Health Care Utilization of Children in Foster Care. J Dev Behav Pediatr 2024:00004703-990000000-00194. [PMID: 39023862 DOI: 10.1097/dbp.0000000000001302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 05/24/2024] [Indexed: 07/20/2024]
Abstract
OBJECTIVES This study sought to understand the health status of children in foster care; the relationship between their health status and health care utilization; and demographic and placement factors associated with health care utilization. METHODS To estimate relationships between health status and health care utilization, this study used electronic health records from 4976 children in foster care seen at a children's hospital in the southwestern United States, 2017 to 2020. An algorithm classified patients' health status as nonchronic, noncomplex chronic, or complex chronic. Descriptive statistics were used to describe patients and utilization. The χ2, Kruskal-Wallis, and pairwise comparison post hoc tests were used to examine relationships between health status and health care utilization. Zero-inflated negative binomial (ZINB) regression further estimated relationships between health status and health care utilization while factoring in demographic and placement characteristics. RESULTS Within the sample, 35.6% had complex chronic health status. Significant differences were found among health status groups in age, gender, ethnicity, and maltreatment exposure. Both nonparametric pairwise comparisons and the ZINB regression model showed that having complex chronic health was associated with higher utilization of all hospital resources: emergency, admission, primary and specialty care, and various therapies, relative to having noncomplex chronic and nonchronic health. CONCLUSION A high percentage of children in foster care had complex chronic health, and these patients used significantly more resources. This study suggests that hospital-based health clinics focused on children in foster care and care coordination may be warranted.
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Affiliation(s)
- Jill D McLeigh
- Rees-Jones Center for Foster Care Excellence, Children's Health, Dallas, TX
| | - Gunjan Singh
- Rees-Jones Center for Foster Care Excellence, Children's Health, Dallas, TX
- Division of Developmental Behavioral Pediatrics, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX; and
| | - Rong Huang
- Research Administration, Children's Health, Dallas, TX
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Loura D, Ferreira AM, Romeiro J, Charepe Z. Health-illness transition processes in children with complex chronic conditions and their parents: a scoping review. BMC Pediatr 2024; 24:446. [PMID: 38992610 PMCID: PMC11238377 DOI: 10.1186/s12887-024-04919-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 07/01/2024] [Indexed: 07/13/2024] Open
Abstract
BACKGROUND The prevalence of complex chronic conditions (CCC), which cause serious limitations and require specialized care, is increasing. The diagnosis of a CCC is a health-illness transition for children and their parents, representing a long-term change leading to greater vulnerability. Knowing the characteristics of these transitional processes is important for promoting safe transitions in this population. This scoping review aimed to map the available evidence on health-illness transition processes in children with complex chronic conditions and their parents in the context of healthcare. METHODS Six databases were searched for studies focusing on children aged 0-21 years with CCC and their parents experiencing health-illness transition processes, particularly concerning adaptation to illness and continuity of care, in the context of healthcare. Studies within this scope carried out between 2013 and 2023 and written in Portuguese or English were identified. The articles were selected using the PRISMA methodology. The data were extracted to an instrument and then presented with a synthesizing approach supporting the interpretation of the results. RESULTS Ninety-eight methodologically broad but predominantly qualitative articles were included in this review. Children with CCC have specific needs associated with complex and dynamic health-illness transitions with a multiple influence in their daily lives. Several facilitating factors (p.e. positive communication and a supportive therapeutic relationship with parents and professionals, as well as involvement in a collaborative approach to care), inhibiting factors (p.e. the complexity of the disease and therapeutic regime, as well as the inefficient organization and coordination of teams) and both positive (p.e. well-being and better quality of life) and negative response patterns (p.e. negative feelings about the chronic illness) were identified. Some interventions to support the transitional process also emerged from the literature. Pediatric palliative care is seen as a good practice and an integrative approach for these children and families. CONCLUSION Health professionals play a fundamental role in supporting the transitional process and promoting positive response patterns. More significant investment is needed at the clinical and academic levels regarding production and dissemination of knowledge in this area to ensure the awareness of children with CCC and that their needs are fully enhanced. REVIEW REGISTRATION https://doi.org/10.17605/OSF.IO/QRZC8 .
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Affiliation(s)
- David Loura
- Local Health Unit of São José, Dona Estefânia Hospital, St. Jacinta Marto, N. 8A, 1150-192, Lisbon, Portugal.
- Faculty of Health Sciences and Nursing, Catholic University of Portugal, Lisbon, Portugal.
| | - Ana Margarida Ferreira
- Faculty of Health Sciences and Nursing, Catholic University of Portugal, Lisbon, Portugal
- Local Health Unit of Arco Ribeirinho, Nossa Senhora Do Rosário Hospital, Setúbal, Portugal
| | - Joana Romeiro
- Faculty of Health Sciences and Nursing, Catholic University of Portugal, Lisbon, Portugal
- Center for Interdisciplinary Health Research (CIIS), Lisbon, Portugal
- Catholic University of Portugal, Postdoc-Fellowship Program in Integral Human Development (IHD), CADOS, Lisbon, Portugal
| | - Zaida Charepe
- Faculty of Health Sciences and Nursing, Catholic University of Portugal, Lisbon, Portugal
- Center for Interdisciplinary Health Research (CIIS), Lisbon, Portugal
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Zhang D, Stein R, Lu Y, Zhou T, Lei Y, Li L, Chen J, Arnold J, Becich MJ, Chrischilles EA, Chuang CH, Christakis DA, Fort D, Geary CR, Hornig M, Kaushal R, Liebovitz DM, Mosa ASM, Morizono H, Mirhaji P, Dotson JL, Pulgarin C, Sills MR, Suresh S, Williams DA, Baldassano RN, Forrest CB, Chen Y. Pediatric Gastrointestinal Outcomes During the Post-Acute Phase of COVID-19: Findings from RECOVER Initiative from 29 Hospitals in the US. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.21.24307699. [PMID: 38826331 PMCID: PMC11142297 DOI: 10.1101/2024.05.21.24307699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Importance The profile of gastrointestinal (GI) outcomes that may affect children in post-acute and chronic phases of COVID-19 remains unclear. Objective To investigate the risks of GI symptoms and disorders during the post-acute phase (28 days to 179 days after SARS-CoV-2 infection) and the chronic phase (180 days to 729 days after SARS-CoV-2 infection) in the pediatric population. Design We used a retrospective cohort design from March 2020 to Sept 2023. Setting twenty-nine healthcare institutions. Participants A total of 413,455 patients aged not above 18 with SARS-CoV-2 infection and 1,163,478 patients without SARS-CoV-2 infection. Exposures Documented SARS-CoV-2 infection, including positive polymerase chain reaction (PCR), serology, or antigen tests for SARS-CoV-2, or diagnoses of COVID-19 and COVID-related conditions. Main Outcomes and Measures Prespecified GI symptoms and disorders during two intervals: post-acute phase and chronic phase following the documented SARS-CoV-2 infection. The adjusted risk ratio (aRR) was determined using a stratified Poisson regression model, with strata computed based on the propensity score. Results Our cohort comprised 1,576,933 patients, with females representing 48.0% of the sample. The analysis revealed that children with SARS-CoV-2 infection had an increased risk of developing at least one GI symptom or disorder in both the post-acute (8.64% vs. 6.85%; aRR 1.25, 95% CI 1.24-1.27) and chronic phases (12.60% vs. 9.47%; aRR 1.28, 95% CI 1.26-1.30) compared to uninfected peers. Specifically, the risk of abdominal pain was higher in COVID-19 positive patients during the post-acute phase (2.54% vs. 2.06%; aRR 1.14, 95% CI 1.11-1.17) and chronic phase (4.57% vs. 3.40%; aRR 1.24, 95% CI 1.22-1.27). Conclusions and Relevance In the post-acute phase or chronic phase of COVID-19, the risk of GI symptoms and disorders was increased for COVID-positive patients in the pediatric population.
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Affiliation(s)
- Dazheng Zhang
- The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, United States
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
| | - Ronen Stein
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
| | - Yiwen Lu
- The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, United States
- Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, United States
| | - Ting Zhou
- The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, United States
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
| | - Yuqing Lei
- The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, United States
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
| | - Lu Li
- The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, United States
- Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, United States
| | - Jiajie Chen
- The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, United States
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
| | - Jonathan Arnold
- Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Michael J. Becich
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Elizabeth A. Chrischilles
- Department of Epidemiology, College of Public Health, The University of Iowa, Iowa City, IA, United States
| | - Cynthia H. Chuang
- Division of General Internal Medicine, Penn State College of Medicine, Hershey, PA, United States
| | - Dimitri A Christakis
- Center for Child Health, Behavior, and Development, Seattle Children’s Research Institute, Seattle, WA, United States
| | - Daniel Fort
- Ochsner Center for Outcomes Research, Ochsner Health, New Orleans, LA, United States
| | - Carol R. Geary
- College of Medicine, University of Nebraska Medical Center, Omaha, NE, United States
| | - Mady Hornig
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States
| | - Rainu Kaushal
- Department of Population Health Sciences, Weill Cornell Medical College, New York, NY, United States
| | - David M. Liebovitz
- Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Abu Saleh Mohammad Mosa
- Department of Biomedical Informatics, Biostatistics and Medical Epidemiology, University of Missouri School of Medicine, Columbia, MO, United States
| | - Hiroki Morizono
- Center for Genetic Medicine Research, Children’s National Hospital, Washington, DC, United States
| | - Parsa Mirhaji
- Institute for Clinical Translational Research, Albert Einstein College of Medicine, New York, NY, United States
| | - Jennifer L. Dotson
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University College of Medicine, Columbus, OH, United States
| | - Claudia Pulgarin
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Marion R. Sills
- Department of Research, OCHIN, Inc., Portland, OR, United States
- University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Srinivasan Suresh
- Divisions of Health Informatics & Emergency Medicine, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- UPMC Children’s Hospital of Pittsburgh, Pittsburgh, PA, United States
| | - David A. Williams
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States
| | - Robert N. Baldassano
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
| | - Christopher B. Forrest
- Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Yong Chen
- The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, United States
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
- Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, United States
- Penn Institute for Biomedical Informatics (IBI), Philadelphia, PA, United States
- Leonard Davis Institute of Health Economics, Philadelphia, PA, United States
- Penn Medicine Center for Evidence-based Practice (CEP), Philadelphia, PA, United States
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Belza C, Szentkúti P, Horváth-Puhó E, Ray JG, Nelson KE, Grandi SM, Brown HK, Sørensen HT, Cohen E. Use of Latent Class Analysis to Predict Intensive Care Unit Admission and Mortality in Children with a Major Congenital Anomaly. J Pediatr 2024; 270:114013. [PMID: 38494089 DOI: 10.1016/j.jpeds.2024.114013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/08/2024] [Accepted: 03/12/2024] [Indexed: 03/19/2024]
Abstract
OBJECTIVE To define major congenital anomaly (CA) subgroups and assess outcome variability based on defined subgroups. STUDY DESIGN This population-based cohort study used registries in Denmark for children born with a major CA between January 1997 and December 2016, with follow-up until December 2018. We performed a latent class analysis (LCA) using child and family clinical and sociodemographic characteristics present at birth, incorporating additional variables occurring until age of 24 months. Cox proportional hazards regression models estimated hazard ratios (HRs) of pediatric mortality and intensive care unit (ICU) admissions for identified LCA classes. RESULTS The study included 27 192 children born with a major CA. Twelve variables led to a 4-class solution (entropy = 0.74): (1) children born with higher income and fewer comorbidities (55.4%), (2) children born to young mothers with lower income (24.8%), (3) children born prematurely (10.0%), and (4) children with multiorgan involvement and developmental disability (9.8%). Compared with those in Class 1, mortality and ICU admissions were highest in Class 4 (HR = 8.9, 95% CI = 6.4-12.6 and HR = 4.1, 95% CI = 3.6-4.7, respectively). More modest increases were observed among the other classes for mortality and ICU admissions (Class 2: HR = 1.7, 95% CI = 1.1-2.5 and HR = 1.3, 95% CI = 1.1-1.4, respectively; Class 3: HR = 2.5, 95% CI = 1.5-4.2 and HR = 1.5, 95% CI = 1.3-1.9, respectively). CONCLUSIONS Children with a major CA can be categorized into meaningful subgroups with good discriminative ability. These groupings may be useful for risk-stratification in outcome studies.
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Affiliation(s)
- Christina Belza
- Edwin S.H. Leong Centre for Health Children, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada; Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada; Transplant and Regenerative Medicine Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Péter Szentkúti
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Erzsébet Horváth-Puhó
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Joel G Ray
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada; St. Michael's Hospital Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Katherine E Nelson
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada; Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Sonia M Grandi
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Hilary K Brown
- Department of Health & Society, University of Toronto Scarborough, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark; Clinical Excellence Research Center, Stanford University, Stanford, CA
| | - Eyal Cohen
- Edwin S.H. Leong Centre for Health Children, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada; Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada; Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada.
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5
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Abraham C, Hatoun J, Correa ET, Rabbani N, Vernacchio L. Disparities in the Availability and Acceptance of Nirsevimab in Massachusetts. Pediatrics 2024; 154:e2023065425. [PMID: 38832426 DOI: 10.1542/peds.2023-065425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/08/2024] [Accepted: 04/09/2024] [Indexed: 06/05/2024] Open
Affiliation(s)
- Claire Abraham
- Division of General Pediatrics
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Jon Hatoun
- Division of General Pediatrics
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Pediatric Physicians' Organization at Children's, Wellesley, Massachusetts
| | | | - Naveed Rabbani
- Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Pediatric Physicians' Organization at Children's, Wellesley, Massachusetts
| | - Louis Vernacchio
- Division of General Pediatrics
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Pediatric Physicians' Organization at Children's, Wellesley, Massachusetts
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Keuning MW, Klarenbeek NN, Bout HJ, Broer A, Draaijer M, Hol J, Hollander N, Merelle M, Nassar-Sheikh Rashid A, Nusman C, Oostenbroek E, Ridderikhof ML, Roelofs M, van Rossem E, van der Schoor SRD, Schouten SM, Taselaar P, Vasse K, van Wermeskerken AM, van der Zande JMJ, Zuurbier R, Bijlsma MW, Pajkrt D, Plötz FB. Prospective multicenter evaluation of adherence to the Dutch guideline for children aged 0-16 years with fever without a source-febrile illness in children (FINCH) study. Eur J Pediatr 2024; 183:2921-2933. [PMID: 38619569 PMCID: PMC11192673 DOI: 10.1007/s00431-024-05553-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 03/30/2024] [Accepted: 04/02/2024] [Indexed: 04/16/2024]
Abstract
Evaluation of guidelines in actual practice is a crucial step in guideline improvement. A retrospective evaluation of the Dutch guideline for children with fever without an apparent source (FWS) showed 50% adherence in young infants. We prospectively evaluated adherence to the Dutch guideline and its impact on management in current practice. Prospective observational multicenter cross-sectional study, including children 3 days to 16 years old presented for FWS at one of seven emergency departments in participating secondary and tertiary care hospitals in the Netherlands. Adherence to the Dutch FWS guideline, adapted from the National Institute for Health and Care Excellence (NICE) guideline, was evaluated, and patterns in non-adherence and the impact of non-adherence on clinical outcomes and resource use were explored. Adherence to the guideline was 192/370 (52%). Adherence was lowest in patients categorized as high risk for severe infection (72/187, 39%), compared to the low-risk group (64/73, 88%). Differences in adherence were significant between risk categories (P < 0.001) but not between age categories. In case of non-adherence, less urinalysis, fewer bacterial cultures (blood, urine, and cerebral spinal fluid), and less empirical antibiotic treatment were performed (P < 0.050). Clinical outcomes were not significantly different between the non-adherence and the adherence group, particularly regarding missed severe infections. CONCLUSIONS We found a high non-adherence rate of 48%, which did not lead to unfavorable clinical outcomes. This substantiates the need for a critical reevaluation of the FWS guideline and its indications for bacterial cultures, viral testing, and antibiotic treatment. WHAT IS KNOWN • Despite the development of national guidelines, variation in practice is still substantial in the assessment of febrile children to distinguish severe infection from mild self-limiting disease. • Previous retrospective research suggests low adherence to national guidelines for febrile children in practice. WHAT IS NEW • In case of non-adherence to the Dutch national guideline, similar to the National Institute for Health and Care Excellence (NICE) guideline from the United Kingdom, physicians have used fewer resources than the guideline recommended without increasing missed severe infections.
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Affiliation(s)
- Maya W Keuning
- Amsterdam UMC, Department of Pediatrics, University of Amsterdam, Emma Children's Hospital, Amsterdam Reproduction and Development Research Institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | | | - Hidde J Bout
- Amsterdam UMC, Department of Pediatrics, University of Amsterdam, Emma Children's Hospital, Amsterdam Reproduction and Development Research Institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Amber Broer
- Department of Pediatrics, Spaarne Hospital, Hoofddorp, The Netherlands
| | - Melvin Draaijer
- Department of Pediatrics, Spaarne Hospital, Hoofddorp, The Netherlands
| | - Jeroen Hol
- Department of Pediatrics, Noordwest Ziekenhuisgroep, Alkmaar, The Netherlands
| | - Nina Hollander
- Department of Pediatrics, Flevoziekenhuis, Almere, The Netherlands
| | - Marieke Merelle
- Department of Pediatrics, Spaarne Hospital, Hoofddorp, The Netherlands
| | | | - Charlotte Nusman
- Department of Pediatrics, Noordwest Ziekenhuisgroep, Alkmaar, The Netherlands
| | - Emma Oostenbroek
- Department of Pediatrics, Spaarne Hospital, Hoofddorp, The Netherlands
| | - Milan L Ridderikhof
- Department of Emergency Medicine, Amsterdam, UMC , University of Amsterdam, Meibergdreef 9, Amsterdam, Netherlands
| | - Manouck Roelofs
- Department of Pediatrics, Zaans Medical Center, Zaandam, The Netherlands
| | - Ellen van Rossem
- Department of Pediatrics, Flevoziekenhuis, Almere, The Netherlands
| | | | - Sarah M Schouten
- Department of Pediatrics, Noordwest Ziekenhuisgroep, Alkmaar, The Netherlands
| | - Pieter Taselaar
- Department of Pediatrics, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands
| | - Koen Vasse
- Department of Pediatrics, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands
| | | | | | - Roy Zuurbier
- Department of Pediatrics, Tergooi MC, Blaricum, The Netherlands
| | - Merijn W Bijlsma
- Amsterdam UMC, Department of Pediatrics, University of Amsterdam, Emma Children's Hospital, Amsterdam Reproduction and Development Research Institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Dasja Pajkrt
- Amsterdam UMC, Department of Pediatrics, University of Amsterdam, Emma Children's Hospital, Amsterdam Reproduction and Development Research Institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Frans B Plötz
- Amsterdam UMC, Department of Pediatrics, University of Amsterdam, Emma Children's Hospital, Amsterdam Reproduction and Development Research Institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Department of Pediatrics, Tergooi MC, Blaricum, The Netherlands
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Yun HJ, Parker ML, Wilson CB, Cui M. Medical Complexity of Children with Special Healthcare Needs and Healthcare Experiences. CHILDREN (BASEL, SWITZERLAND) 2024; 11:775. [PMID: 39062228 PMCID: PMC11275203 DOI: 10.3390/children11070775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 06/20/2024] [Accepted: 06/23/2024] [Indexed: 07/28/2024]
Abstract
The rising prevalence of CSHCN has led to significant challenges for caregivers, particularly mothers, who face difficulties from caregiving demands and managing complex healthcare interactions. The objective of this study was to examine the association between the medical complexity of CSHCN and the healthcare experiences of their mothers while exploring the influence of sociodemographic factors on these associations. The study utilized data from the 2016-2020 National Survey of Children's Health (NSCH), involving 17,434 mothers of CSHCN. Mothers provided information on the medical complexity of CSHCN, healthcare experiences (care coordination, family-centered care, and shared decision-making), and sociodemographic information (race, community, insurance, child sex, age, and federal poverty level). Results from multiple regressions revealed that greater medical complexity was associated with more negative healthcare experiences. Minoritized mothers, those in rural areas, and families with lower income reported lower levels of family-centered care, indicating significant disparities. Additionally, the negative association between medical complexity and healthcare experiences was pronounced for White families and those with private insurance compared to minoritized families and those with public insurance. This study highlights the necessity for targeted interventions to improve care coordination, family-centered care, and shared decision-making, emphasizing the need for a comprehensive, family-centered approach to address healthcare disparities and promote health equity for CSHCN and their families.
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Affiliation(s)
- Hye-Jung Yun
- The Florida Center for Prevention Research, Florida State University, Tallahassee, FL 32301, USA; (H.-J.Y.); (C.B.W.)
| | - M. L. Parker
- School of Education and Human Development, Fairfield University, Fairfield, CT 06824, USA;
| | - Cynthia B. Wilson
- The Florida Center for Prevention Research, Florida State University, Tallahassee, FL 32301, USA; (H.-J.Y.); (C.B.W.)
| | - Ming Cui
- Department of Human Development and Family Science, Florida State University, Tallahassee, FL 32306, USA
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Douillard J, Lentz S, Ganjian S, Agdeppa S, Ho N, Lin JC, Han P. Predictive Value of LACE Scores for Pediatric Readmissions. Perm J 2024; 28:9-15. [PMID: 38389442 PMCID: PMC11232907 DOI: 10.7812/tpp/23.114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
INTRODUCTION Hospital readmissions are recognized as a prevalent, yet potentially preventable, personal and economic burden. Length of stay, Acuity of admission, Comorbidities, and number of Emergency Department visits in the preceding 6 months can be quantified into one score, the LACE score. LACE scores have previously been identified to correlate with hospital readmissions within 30 days of discharge, but research specific to the pediatric population is scant. The objective of the present study was to investigate if LACE scores, in addition to other factors, can be utilized to create a predictive pediatric hospital readmission model that may ultimately be used to decrease readmission rates. METHODS This study included 25,616 hospitalizations of patients under the age of 18 years. Data were extracted from a hospital network electronic medical record. Demographics included LACE scores, age, gender, race/ethnicity, median household income, and medical centers. The primary exposure variable was LACE score. The main outcome measures were readmissions within 7, 14, and 30 days. The area under the curve (AUC) was used to assess the predictive capability of the regression model on patient 30-day admission. RESULTS LACE scores, age, gender, race/ethnicity, median household income, and medical centers were examined in a multivariable model to assess patient risk of a 30-day readmission. Only age and LACE score were observed to be statistically significant. The AUC for the combined model was 0.69. DISCUSSION As only age and LACE score were observed to be statistically significant and the AUC for the combined model was 0.69, this model is considered to have poor predictive capability. CONCLUSIONS In this study, LACE scores, as well the other factors, had a poor predictive capability for pediatric readmissions.
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Affiliation(s)
- Jelena Douillard
- Southern California Permanente Medical Group, Los Angeles, CA, USA
| | - Sarah Lentz
- Kaiser Foundation Hospital, Los Angeles, CA, USA
| | | | - Sherill Agdeppa
- Southern California Permanente Medical Group, Los Angeles, CA, USA
| | - Ngoc Ho
- Southern California Permanente Medical Group, Los Angeles, CA, USA
| | - Jane Chieh Lin
- Southern California Permanente Medical Group, Los Angeles, CA, USA
| | - Paul Han
- Southern California Permanente Medical Group, Los Angeles, CA, USA
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Killien EY, Ohman RT, Dervan LA, Smith MB, Rivara FP, Watson RS. Pediatric Acute Respiratory Distress Syndrome Severity and Health-Related Quality of Life Outcomes: Single-Center Retrospective Cohort, 2011-2017. Pediatr Crit Care Med 2024:00130478-990000000-00349. [PMID: 38832835 DOI: 10.1097/pcc.0000000000003552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
OBJECTIVES To determine factors associated with health-related quality of life (HRQL) decline among pediatric acute respiratory distress syndrome (PARDS) survivors. DESIGN Retrospective cohort study. SETTING Academic children's hospital. PATIENTS Three hundred fifteen children 1 month to 18 years old with an unplanned PICU admission from December 2011 to February 2017 enrolled in the hospital's Outcomes Assessment Program. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Pre-admission baseline and median 6-week post-discharge HRQL were assessed using the Pediatric Quality of Life Inventory or the Functional Status II-R. Patients meeting retrospectively applied Second Pediatric Acute Lung Injury Consensus Conference criteria for PARDS were identified, and PARDS severity was classified using binary (mild/moderate, severe) and trichotomous (mild, moderate, severe) categorization for noninvasive ventilation and invasive mechanical ventilation (IMV). PARDS occurred in 41 of 315 children (13.0%). Clinically important HRQL decline (≥ 4.5 points) occurred in 17 of 41 patients (41.5%) with PARDS and 64 of 274 without PARDS (23.4%). On multivariable generalized linear regression adjusted for age, baseline Pediatric Overall Performance Category, maximum nonrespiratory Pediatric Logistic Organ Dysfunction score, diagnosis, length of stay, and time to follow-up, PARDS was associated with HRQL decline (adjusted relative risk [aRR], 1.70; 95% CI, 1.03-2.77). Four-hour and maximum PARDS severity were the only factors associated with HRQL decline. HRQL decline occurred in five of 18 patients with mild PARDS at 4 hours, five of 13 with moderate PARDS (aRR 2.35 vs. no PARDS [95% CI, 1.01-5.50]), and seven of ten with severe PARDS (aRR 2.56 vs. no PARDS [95% CI, 1.45-4.53]). The area under the receiver operating characteristic curve for discrimination of HRQL decline for IMV patients was 0.79 (95% CI, 0.66-0.91) for binary and 0.80 (95% CI, 0.69-0.93) for trichotomous severity categorization. CONCLUSIONS HRQL decline is common among children surviving PARDS, and risk of decline is associated with PARDS severity. HRQL decline from baseline may be an efficient and clinically meaningful endpoint to incorporate into PARDS clinical trials.
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Affiliation(s)
- Elizabeth Y Killien
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, WA
- Center for Child Health, Behavior, & Development, Seattle Children's Research Institute, Seattle, WA
| | - Robert T Ohman
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, WA
| | - Leslie A Dervan
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, WA
- Center for Clinical & Translational Research, Seattle Children's Research Institute, Seattle, WA
| | - Mallory B Smith
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO
| | - Frederick P Rivara
- Center for Child Health, Behavior, & Development, Seattle Children's Research Institute, Seattle, WA
- Division of General Pediatrics, Department of Pediatrics, University of Washington, Seattle, WA
| | - R Scott Watson
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, WA
- Center for Child Health, Behavior, & Development, Seattle Children's Research Institute, Seattle, WA
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10
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Logan GE, Banks RK, Reeder R, Miller K, Mourani PM, Bennett TD, Bourque SL, Meert KL, Zimmerman J, Maddux AB. Association of an In-Hospital Desirability of Outcomes Ranking Scale With Postdischarge Health-Related Quality of Life: A Secondary Analysis of the Life After Pediatric Sepsis Evaluation. Pediatr Crit Care Med 2024; 25:528-537. [PMID: 38353586 PMCID: PMC11153013 DOI: 10.1097/pcc.0000000000003470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
OBJECTIVES To develop a desirability of outcome ranking (DOOR) scale for use in children with septic shock and determine its correlation with a decrease in 3-month postadmission health-related quality of life (HRQL) or death. DESIGN Secondary analysis of the Life After Pediatric Sepsis Evaluation prospective study. SETTING Twelve U.S. PICUs, 2013-2017. PATIENTS Children (1 mo-18 yr) with septic shock. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS We applied a 7-point pediatric critical care (PCC) DOOR scale: 7: death; 6: extracorporeal life support; 5: supported by life-sustaining therapies (continuous renal replacement therapy, vasoactive, or invasive ventilation); 4: hospitalized with or 3: without organ dysfunction; 2: discharged with or 1: without new morbidity to patients by assigning the highest applicable score on specific days post-PICU admission. We analyzed Spearman rank-order correlations (95% CIs) between proximal outcomes (PCC-DOOR scale on days 7, 14, and 21, ventilator-free days, cumulative 28-day Pediatric Logistic Organ Dysfunction-2 (PELOD-2) scores, and PICU-free days) and 3-month decrease in HRQL or death. HRQL was measured by Pediatric Quality of Life Inventory 4.0 or Functional Status II-R for patients with developmental delay. Patients who died were assigned the worst possible HRQL score. PCC-DOOR scores were applied to 385 patients, median age 6 years (interquartile range 2, 13) and 177 (46%) with a complex chronic condition(s). Three-month outcomes were available for 245 patients (64%) and 42 patients (17%) died. PCC-DOOR scale on days 7, 14, and 21 demonstrated fair correlation with the primary outcome (-0.42 [-0.52, -0.31], -0.47 [-0.56, -0.36], and -0.52 [-0.61, -0.42]), similar to the correlations for cumulative 28-day PELOD-2 scores (-0.51 [-0.59, -0.41]), ventilator-free days (0.43 [0.32, 0.53]), and PICU-free days (0.46 [0.35, 0.55]). CONCLUSIONS The PCC-DOOR scale is a feasible, practical outcome for pediatric sepsis trials and demonstrates fair correlation with decrease in HRQL or death at 3 months.
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Affiliation(s)
- Grace E. Logan
- Department of Pediatrics, Section of Critical Care Medicine, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, CO
| | - Russell K Banks
- Department of Pediatrics, University of Utah, Salt Lake City, UT
| | - Ron Reeder
- Department of Pediatrics, University of Utah, Salt Lake City, UT
| | - Kristen Miller
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
| | - Peter M. Mourani
- Department of Pediatrics, Section of Critical Care, University of Arkansas for Medical Sciences and Arkansas Children’s Hospital, Little Rock, AR
| | - Tellen D. Bennett
- Department of Pediatrics, Section of Critical Care Medicine, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, CO
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO
| | - Stephanie L. Bourque
- Department of Pediatrics, Section of Neonatology, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, CO
| | - Kathleen L. Meert
- Department of Pediatrics, Children’s Hospital of Michigan, Central Michigan University, Detroit, MI
| | - Jerry Zimmerman
- Department of Pediatrics, Seattle Children’s Hospital, Seattle Research Institute, University of Washington School of Medicine, Seattle, WA
| | - Aline B. Maddux
- Department of Pediatrics, Section of Critical Care Medicine, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, CO
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11
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Pulcini CD, Luan X, Brooks ES, Hogan A, Penrose T, Kenyon CC, Rubin DM. Pediatric Population Management Classification for Children with Medical Complexity. Popul Health Manag 2024; 27:192-198. [PMID: 38613470 PMCID: PMC11322619 DOI: 10.1089/pop.2023.0303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/15/2024] Open
Abstract
Improving the overall care of children with medical complexity (CMC) is often beset by challenges in proactively identifying the population most in need of clinical management and quality improvement. The objective of the current study was to create a system to better capture longitudinal risk for sustained and elevated utilization across time using real-time electronic health record (EHR) data. A new Pediatric Population Management Classification (PPMC), drawn from visit diagnoses and continuity problem lists within the EHR of a tristate health system, was compared with an existing complex chronic conditions (CCC) system for agreement (with weighted κ) on identifying CCMC, as well as persistence of elevated charges and utilization from 2016 to 2019. Agreement of assignment PPMC was lower among primary care provider (PCP) populations than among other children traversing the health system for specialty or hospital services only (weighted κ 62% for PCP vs. 82% for non-PCP). The PPMC classification scheme, displaying greater precision in identifying CMC with persistently high utilization and charges for those who receive primary care within a large integrated health network, may offer a more pragmatic approach to selecting children with CMC for longitudinal care management.
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Affiliation(s)
- Christian D. Pulcini
- Department of Emergency Medicine & Pediatrics, University of Vermont Larner College of Medicine, Burlington, Vermont, USA
| | - Xianqun Luan
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Elizabeth S. Brooks
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Annique Hogan
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Tina Penrose
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Chen C. Kenyon
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - David M. Rubin
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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12
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McKinney CM, Howard W, Bijlani K, Rahman M, Meehan A, Evans KN, Leavitt D, Sitzman TJ, Amoako-Yirenkyi P, Heike CL. Growth Patterns Between Ages 0 and 36 Months Among US Children With Orofacial Cleft: A Retrospective Cohort Study. J Acad Nutr Diet 2024:S2212-2672(24)00251-X. [PMID: 38801990 DOI: 10.1016/j.jand.2024.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Little is known about how young children with orofacial cleft grow over time. OBJECTIVE To characterize longitudinal growth patterns from ages 0 to 36 months in US children with an orofacial cleft. DESIGN A retrospective cohort study. PARTICIPANTS/SETTING Children with cleft lip, cleft lip and palate, or cleft palate who were younger than age 36 months at a hospital encounter between 2010 and 2019 (N = 1334) were included. The setting was a US tertiary care children's hospital with a cleft center that serves a 5-state region. MAIN OUTCOME MEASURE Weight-for-age z scores (WAZ) and length-for-age z scores (LAZ). STATISTICAL ANALYSES PERFORMED Longitudinal growth patterns were characterized using generalized linear mixed models to estimate mean WAZ and LAZ from age 0 to 36 months. RESULTS Growth in infants with cleft slowed dramatically during the first 3 to 4 months of life, rebounded with catch-up growth until age 12 months for cleft lip and cleft palate and until age 36 months for cleft lip and palate. When comparing populations, children with any type of cleft demonstrated subpar growth compared with World Health Organization standards. Growth deficits were more common in those with cleft lip and palate and cleft palate compared with those with cleft lip. The intraclass coefficient showed that most of the variability in the WAZ (65%) was between individuals, whereas 35% was within an individual. The intraclass coefficient for LAZ showed that most of the variability in the LAZ (74%) was between individuals, whereas 26% was within an individual. The proportion of variance attributable to cleft type and/or comorbidities accounted for <5% of the variance for WAZ and LAZ. WAZ and LAZ were lower in children with comorbidities than those without comorbidities with cleft and World Health Organization standards. CONCLUSIONS Infants with cleft lip and palate, cleft palate, and a cleft with comorbidities have higher rates of poor growth than peers with cleft lip and a cleft with no comorbidities, respectively.
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Affiliation(s)
- Christy M McKinney
- Seattle Children's Research Institute, Seattle, Washington; Seattle Children's Hospital, Seattle, Washington; University of Washington, Seattle, Washington.
| | - Waylon Howard
- Seattle Children's Research Institute, Seattle, Washington; Seattle Children's Hospital, Seattle, Washington
| | - Kiley Bijlani
- Seattle Children's Research Institute, Seattle, Washington; Seattle Children's Hospital, Seattle, Washington
| | - Muhammad Rahman
- Seattle Children's Research Institute, Seattle, Washington; University of Washington, Seattle, Washington
| | - Anna Meehan
- Seattle Children's Research Institute, Seattle, Washington; Seattle Children's Hospital, Seattle, Washington
| | - Kelly N Evans
- Seattle Children's Research Institute, Seattle, Washington; Seattle Children's Hospital, Seattle, Washington; University of Washington, Seattle, Washington
| | - Dawn Leavitt
- Seattle Children's Hospital, Seattle, Washington
| | | | | | - Carrie L Heike
- Seattle Children's Research Institute, Seattle, Washington; Seattle Children's Hospital, Seattle, Washington; University of Washington, Seattle, Washington
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13
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Swietek K, Jones KA, Bettger JP, French A, Maslow G, Norman KS, Lake AD, Carvalho M, Cholera R, Freed SS, Tchuisseu YP, Repka S, Whitaker RG. What Explains Inequalities in Telehealth Utilization Among North Carolina Medicaid Beneficiaries? Telemed J E Health 2024. [PMID: 38728091 DOI: 10.1089/tmj.2023.0563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2024] Open
Abstract
Background: Increased availability of telehealth can improve access to health care. However, there is evidence of persistent disparities in telehealth usage, as well as among people from minoritized racial and ethnic groups and rural residents. The objective of our work was to explore the degree to which disparities in telehealth use for behavioral health (BH) and musculoskeletal (MSK) related services during the COVID-19 pandemic are explained by observed beneficiary- and area-level characteristics. Methods: Using North Carolina Medicaid claims data of Medicaid beneficiaries with BH or MSK conditions, we apply nonlinear regression-based decomposition analysis-based models developed by Kitagawa, Oaxaca, and Blinder to determine which observed variables are associated with racial, ethnic, and rural inequalities in telehealth usage. Results: In the BH cohort, we found statistically significant differences in telehealth usage by race in the adult population, and by race, Hispanic ethnicity, and rurality in the pediatric population. In the MSK cohort, we found significant inequities by Hispanic ethnicity and rurality among adults, and by race and rurality among children. Inequalities in telehealth use between groups were small, ranging from 0.7 percentage points between urban and rural adults with MSK conditions to 3.8 percentage points between white adults and people of color among those with BH conditions. Overall, we found that racial and ethnic inequalities in telehealth use are not well explained by the observed variables in our data. Rural disparities in telehealth use are better explained by observed variables, particularly area-level broadband internet use. Conclusions: For inequalities between rural and urban residents, our analysis provides observational evidence that infrastructure such as broadband internet access is an important driver of differences in telehealth use. For racial and ethnic inequalities, the pathways may be more complex and difficult to measure, particularly when relying on administrative data sources in place of more detailed data on individual-level socioeconomic factors.
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Affiliation(s)
- Karen Swietek
- Health Care Evaluation Department, NORC at the University of Chicago, Cambridge, Massachusetts, USA
| | - Kelley A Jones
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Janet Prvu Bettger
- Duke-Margolis Institute for Health Policy, Duke University, Durham, North Carolina, USA
| | - Alexis French
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Gary Maslow
- Duke-Margolis Institute for Health Policy, Duke University, Durham, North Carolina, USA
- Department of Psychiatry, Duke University School of Medicine, Durham, North Carolina, USA
| | - Katherine S Norman
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Ashley D Lake
- Duke Physical Therapy Sports Medicine at the Center for Living, Duke Health, Durham, North Carolina, USA
| | - Marissa Carvalho
- Department of Physical Therapy and Occupational Therapy, Duke University Health System, Durham, North Carolina, USA
| | - Rushina Cholera
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
- Duke-Margolis Institute for Health Policy, Duke University, Durham, North Carolina, USA
- Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA
| | - Salama S Freed
- Department of Health Policy and Management, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA
| | | | - Samantha Repka
- Duke-Margolis Institute for Health Policy, Duke University, Durham, North Carolina, USA
| | - Rebecca G Whitaker
- Duke-Margolis Institute for Health Policy, Duke University, Durham, North Carolina, USA
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14
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Rea CJ, Toomey SL, Hauptman M, Rosen M, Samuels RC, Karpowicz K, Flanagan S, Shah SN. Predictors of Subspecialty Appointment Scheduling and Completion for Patients Referred From a Pediatric Primary Care Clinic. Clin Pediatr (Phila) 2024; 63:512-521. [PMID: 37309813 PMCID: PMC10863332 DOI: 10.1177/00099228231179673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Failure to complete subspecialty referrals decreases access to subspecialty care and may endanger patient safety. We conducted a retrospective analysis of new patient referrals made to the 14 most common referral departments at Boston Children's Hospital from January 1 to December 31, 2017. The sample included 2031 patient referrals. The mean wait time between referral and appointment date was 39.6 days. In all, 87% of referrals were scheduled and 84% of scheduled appointments attended, thus 73% of the original referrals were completed. In multivariate analysis, younger age, medical complexity, being a non-English speaker, and referral to a surgical subspecialty were associated with a higher likelihood of referral completion. Black and Hispanic/Latino race/ethnicity, living in a Census tract with Social Vulnerability Index (SVI) ≥ 90th percentile, and longer wait times were associated with a lower likelihood of appointment attendance. Future interventions should consider both health care system factors such as appointment wait times and community-level barriers to referral completion.
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Affiliation(s)
- Corinna J. Rea
- Division of General Pediatrics, Boston Children’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Sara L. Toomey
- Division of General Pediatrics, Boston Children’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Marissa Hauptman
- Division of General Pediatrics, Boston Children’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Melissa Rosen
- Division of General Pediatrics, Boston Children’s Hospital, Boston, MA, USA
| | - Ronald C. Samuels
- Division of General Pediatrics, Boston Children’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of General Pediatrics, The Children’s Hospital at Montefiore and Albert Einstein College of Medicine, Bronx, NY, USA
| | - Kristin Karpowicz
- Division of General Pediatrics, Boston Children’s Hospital, Boston, MA, USA
| | - Shelby Flanagan
- Division of General Pediatrics, Boston Children’s Hospital, Boston, MA, USA
| | - Snehal N. Shah
- Division of General Pediatrics, Boston Children’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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15
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Sobel Leonard A, Mendoza L, McFarland AG, Marques AD, Everett JK, Moncla L, Bushman FD, Odom John AR, Hensley SE. Within-host influenza viral diversity in the pediatric population as a function of age, vaccine, and health status. Virus Evol 2024; 10:veae034. [PMID: 38859985 PMCID: PMC11163376 DOI: 10.1093/ve/veae034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/23/2024] [Accepted: 04/22/2024] [Indexed: 06/12/2024] Open
Abstract
Seasonal influenza virus predominantly evolves through antigenic drift, marked by the accumulation of mutations at antigenic sites. Because of antigenic drift, influenza vaccines are frequently updated, though their efficacy may still be limited due to strain mismatches. Despite the high levels of viral diversity observed across populations, most human studies reveal limited intrahost diversity, leaving the origin of population-level viral diversity unclear. Previous studies show host characteristics, such as immunity, might affect within-host viral evolution. Here we investigate influenza A viral diversity in children aged between 6 months and 18 years. Influenza virus evolution in children is less well characterized than in adults, yet may be associated with higher levels of viral diversity given the lower level of pre-existing immunity and longer durations of infection in children. We obtained influenza isolates from banked influenza A-positive nasopharyngeal swabs collected at the Children's Hospital of Philadelphia during the 2017-18 influenza season. Using next-generation sequencing, we evaluated the population of influenza viruses present in each sample. We characterized within-host viral diversity using the number and frequency of intrahost single-nucleotide variants (iSNVs) detected in each sample. We related viral diversity to clinical metadata, including subjects' age, vaccination status, and comorbid conditions, as well as sample metadata such as virus strain and cycle threshold. Consistent with previous studies, most samples contained low levels of diversity with no clear association between the subjects' age, vaccine status, or health status. Further, there was no enrichment of iSNVs near known antigenic sites. Taken together, these findings are consistent with previous observations that the majority of intrahost influenza virus infection is characterized by low viral diversity without evidence of diversifying selection.
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Affiliation(s)
- Ashley Sobel Leonard
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA 19104, USA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA
| | - Lydia Mendoza
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA
| | - Alexander G McFarland
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA
| | - Andrew D Marques
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA
| | - John K Everett
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA
| | - Louise Moncla
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, 3800 Spruce St., Philadelphia, PA 19104, USA
| | - Frederic D Bushman
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA
| | - Audrey R Odom John
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA 19104, USA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, 3800 Spruce St., Philadelphia, PA 19104, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA
| | - Scott E Hensley
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA
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16
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Hodgson S, Noack K, Griffiths A, Hodgins M. Between equilibrium and chaos, with little restitution: a narrative analysis of qualitative interviews with clinicians and parent carers of children with medical complexity. BMC Health Serv Res 2024; 24:504. [PMID: 38654202 DOI: 10.1186/s12913-024-10973-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 04/09/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Children with medical complexity (CMC) comprise 1% of the paediatric population, but account for over 30% of health service costs. Lack of healthcare integration and coordination for CMC is well-documented. To address this, a deep understanding of local contextual factors, experiences, and family-identified needs is crucial. The aim of this research was to investigate the lived experiences of CMC, their families, and healthcare staff, focusing on understanding the dynamics of care coordination and the challenges faced in providing integrated care, in order to inform the development of effective, family-centred models of care. METHODS In April to July 2022, 31 semi-structured interviews were conducted with parents/guardians of CMC and healthcare professionals who care for CMC. Interviews explored complex paediatric care and care coordination barriers. An inductive thematic analysis was undertaken. Themes were then further explored using Frank's narrative approach. RESULTS Through analysis, we identified that the restitution typology was absent from both staff and parent/guardian narratives. However, we uncovered narratives reflective of the chaos and quest typologies, depicting overwhelming challenges in managing complex medical needs, and proactive efforts to overcome barriers. Importantly, a novel typology termed 'equilibrium' was uncovered. Narratives aligning with this typology described medical complexity as a balance of power and a negotiation of roles. Within the equilibrium typology, illness trajectory was described as a series of negotiations or balancing acts between healthcare stakeholders, before finally reaching equilibrium. Participants described seeking a balance, where their expertise is respected, whilst maintaining the ability to rely on professional guidance and support. These insights provide a nuanced understanding of the multifaceted narratives shaping care experiences for CMC and their families. CONCLUSIONS Our research delineates multifaceted challenges within the care landscape for CMC, their families, and healthcare staff. Embracing the equilibrium narrative typology highlights the criticality of tailored, integrated care models. This necessitates prioritising clear role delineation and communication among caregivers, implementing support systems addressing the challenges of continuous caregiving, and integrating parents/guardians as essential members of the care team. These insights advocate for pragmatic and sustainable strategies to address the unique needs of CMC and their families within healthcare systems.
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Affiliation(s)
| | - Kirsten Noack
- Hunter New England Local Health District, Newcastle, Australia
| | | | - Michael Hodgins
- School of Women's and Children's Health, University of New South Wales, Sydney, Australia
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17
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Selvaraj D, Agarwal N, Albert JM, Nelson S. Barriers to dental utilization among Medicaid-enrolled young children from primary care practices in Northeast Ohio. Community Dent Oral Epidemiol 2024. [PMID: 38647184 DOI: 10.1111/cdoe.12964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 03/21/2024] [Accepted: 04/12/2024] [Indexed: 04/25/2024]
Abstract
OBJECTIVES To evaluate the individual and community factors that contribute to dental utilization among young children on Medicaid utilizing the Anderson Model and the Socio-Ecological Framework. METHODS This observational cross-sectional study was conducted using baseline data (socio-demographics, clinical dental need) from a cluster-randomized hybrid effectiveness-implementation trial among 1021 child-parent dyads recruited from primary care practices across northeast Ohio. The baseline data were then linked to dental Medicaid claims data (categorized as any dental visit, volume, and type in the past 12 months) and ICD-10 codes from the child's EHR data (individual-level) together with Dental Health Provider Shortage Area (HPSA) status and Area Deprivation Index (ADI) which were obtained at the neighbourhood-level using home address of each dyad (community-level). Multivariable analyses using generalized estimating equations (GEE) accounted for clustering by practice, and models included individual-level alone, and individual + community-level factors to evaluate their effects on dental utilization. RESULTS Medicaid claims data indicated that among the 1021 children (mean age: 4.3 ± 1.1 years; 54.4% males; 43.8% Black, Non-Hispanic), a majority of children were seeing the dentist at least once a year by the age of 4 (56.1%). The mean ADI of their neighbourhoods was 109.22 (20.2) and 27.5% lived in a HPSA area. The GEE analyses revealed that individual factors such as older children, parents being married, and continuous Medicaid enrollment were associated with significantly higher dental utilization. Among community factors, being in a HPSA had an OR = 1.53 (CI: 1.03, 2.27) associated with higher dental utilization. CONCLUSIONS Being in a HPSA was associated with higher dental utilization possibly due to dentists or safety net dental clinics in these areas accepting Medicaid-eligible children.
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Affiliation(s)
- David Selvaraj
- Department of Community Dentistry, Case Western Reserve University School of Dental Medicine, Cleveland, Ohio, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Neel Agarwal
- Department of Community Dentistry, Case Western Reserve University School of Dental Medicine, Cleveland, Ohio, USA
| | - Jeffrey M Albert
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Suchitra Nelson
- Department of Community Dentistry, Case Western Reserve University School of Dental Medicine, Cleveland, Ohio, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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Scheer ER, Werner NE, Coller RJ, Nacht CL, Petty L, Tang M, Ehlenbach M, Kelly MM, Finesilver S, Warner G, Katz B, Keim-Malpass J, Lunsford CD, Letzkus L, Desai SS, Valdez RS. Designing for caregiving networks: a case study of primary caregivers of children with medical complexity. J Am Med Inform Assoc 2024; 31:1151-1162. [PMID: 38427845 PMCID: PMC11031225 DOI: 10.1093/jamia/ocae026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 01/21/2024] [Accepted: 02/01/2024] [Indexed: 03/03/2024] Open
Abstract
OBJECTIVE The study aimed to characterize the experiences of primary caregivers of children with medical complexity (CMC) in engaging with other members of the child's caregiving network, thereby informing the design of health information technology (IT) for the caregiving network. Caregiving networks include friends, family, community members, and other trusted individuals who provide resources, information, health, or childcare. MATERIALS AND METHODS We performed a secondary analysis of two qualitative studies. Primary studies conducted semi-structured interviews (n = 50) with family caregivers of CMC. Interviews were held in the Midwest (n = 30) and the mid-Atlantic region (n = 20). Interviews were transcribed verbatim for thematic analysis. Emergent themes were mapped to implications for the design of future health IT. RESULTS Thematic analysis identified 8 themes characterizing a wide range of primary caregivers' experiences in constructing, managing, and ensuring high-quality care delivery across the caregiving network. DISCUSSION Findings evidence a critical need to create flexible and customizable tools designed to support hiring/training processes, coordinating daily care across the caregiving network, communicating changing needs and care updates across the caregiving network, and creating contingency plans for instances where caregivers are unavailable to provide care to the CMC. Informaticists should additionally design accessible platforms that allow primary caregivers to connect with and learn from other caregivers while minimizing exposure to sensitive or emotional content as indicated by the user. CONCLUSION This article contributes to the design of health IT for CMC caregiving networks by uncovering previously underrecognized needs and experiences of CMC primary caregivers and drawing direct connections to design implications.
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Affiliation(s)
- Eleanore Rae Scheer
- Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA 22904, United States
| | - Nicole E Werner
- Department of Health and Wellness Design, Indiana University School of Public Health-Bloomington, Bloomington, IN 47405, United States
| | - Ryan J Coller
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53792, United States
| | - Carrie L Nacht
- School of Public Health, San Diego State University, San Diego, CA 92182, United States
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA 92093, United States
| | - Lauren Petty
- Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA 22904, United States
| | - Mengwei Tang
- Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI 53706, United States
| | - Mary Ehlenbach
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53792, United States
| | - Michelle M Kelly
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53792, United States
| | - Sara Finesilver
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53792, United States
| | - Gemma Warner
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53792, United States
| | - Barbara Katz
- Family Voices of Wisconsin, Madison, WI 53705, United States
| | - Jessica Keim-Malpass
- Department of Pediatrics, University of Virginia, Charlottesville, VA 22903, United States
| | - Christopher D Lunsford
- Department of Orthopedics, Duke University, Durham, NC 27710, United States
- Department of Pediatrics, Duke University, Durham, NC 27707, United States
| | - Lisa Letzkus
- Department of Pediatrics, University of Virginia, Charlottesville, VA 22903, United States
| | - Shaalini Sanjiv Desai
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22903, United States
| | - Rupa S Valdez
- Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA 22904, United States
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22903, United States
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Glick AF, Yin HS, Silva B, Modi AC, Huynh V, Goodwin EJ, Farkas JS, Turock JS, Famiglietti HS, Dickson VV. Pediatrician perspectives on barriers and facilitators to discharge instruction comprehension and adherence for parents of children with medical complexity. J Hosp Med 2024; 19:278-286. [PMID: 38445808 PMCID: PMC10987266 DOI: 10.1002/jhm.13319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/06/2024] [Accepted: 02/12/2024] [Indexed: 03/07/2024]
Abstract
BACKGROUND High rates of posthospitalization errors are observed in children with medical complexity (CMC). Poor parent comprehension of and adherence to complex discharge instructions can contribute to errors. Pediatrician views on common barriers and facilitators to parent comprehension and adherence are understudied. OBJECTIVE To examine pediatrician perspectives on barriers and facilitators experienced by parents in comprehension of and adherence to inpatient discharge instructions for CMC. DESIGN, SETTINGS, AND PARTICIPANTS We conducted a qualitative, descriptive study of attending pediatricians (n = 20) caring for CMC in inpatient settings (United States and Canada) and belonging to listservs for pediatric hospitalists/complex care providers. We used purposive/maximum variation sampling to ensure heterogeneity (e.g., hospital, region). MAIN OUTCOME AND MEASURES A multidisciplinary team designed and piloted a semistructured interview guide with pediatricians who care for CMC. Team members conducted semistructured interviews via phone or video call. Interviews were audiorecorded and transcribed. We analyzed transcripts using content analysis; codes were derived a priori from a conceptual framework (based on the Pediatric Self-Management Model) and a preliminary transcript analysis. We applied codes and identified emerging themes. RESULTS Pediatricians identified three themes as barriers and facilitators to discharge instruction comprehension and adherence: (1) regimen complexity, (2) access to the healthcare team (e.g., inpatient team, outpatient pediatrician, home nursing) and resources (e.g., medications, medical equipment), and (3) need for a family centered and health literacy-informed approach to discharge planning and education. Next steps include the assessment of parent perspectives on barriers and facilitators to discharge instruction comprehension and adherence for prents of CMC and the development of intervention strategies.
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Affiliation(s)
- Alexander F. Glick
- Department of Pediatrics, NYU Langone Health and Bellevue Hospital Center, New York, New York, USA
| | - H. Shonna Yin
- Department of Pediatrics, NYU Langone Health and Bellevue Hospital Center, New York, New York, USA
- Department of Population Health, NYU Langone Health, New York, New York, USA
| | - Benjamin Silva
- NYU Grossman School of Medicine, New York, New York, USA
| | - Avani C. Modi
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Division of Behavioral Medicine and Clinical Psychology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Vincent Huynh
- Department of Pediatrics, NYU Langone Health and Bellevue Hospital Center, New York, New York, USA
| | - Emily J. Goodwin
- Department of Pediatrics, Children’s Mercy Kansas City, University of Missouri-Kansas City School of Medicine, University of Kansas School of Medicine, Kansas City, Missouri, USA
| | - Jonathan S. Farkas
- Department of Pediatrics, NYU Langone Health and Bellevue Hospital Center, New York, New York, USA
| | - Julia S. Turock
- Department of Pediatrics, NYU Langone Health and Bellevue Hospital Center, New York, New York, USA
| | - Hannah S. Famiglietti
- Department of Pediatrics, NYU Langone Health and Bellevue Hospital Center, New York, New York, USA
| | - Victoria V. Dickson
- University of Connecticut School of Nursing, Storrs, Connecticut, USA
- NYU Rory Meyers College of Nursing, New York, New York, USA
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20
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Linton SC, Tian Y, Zeineddin S, Alayleh A, De Boer C, Goldstein SD, Ghomrawi HMK, Abdullah F. Intercostal Nerve Cryoablation Reduces Opioid Use and Length of Stay Without Increasing Adverse Events: A Retrospective Cohort Study of 5442 Patients Undergoing Surgical Correction of Pectus Excavatum. Ann Surg 2024; 279:699-704. [PMID: 37791468 DOI: 10.1097/sla.0000000000006113] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
OBJECTIVE To examine differences in opioid use, length of stay, and adverse events after minimally invasive correction of pectus excavatum (MIRPE) with and without intercostal nerve cryoablation. BACKGROUND Small studies show that intraoperative intercostal nerve cryoablation provides effective analgesia with no large-scale evaluations of this technique. METHODS The pediatric health information system database was used to perform a retrospective cohort study comparing patients undergoing MIRPE at children's hospitals before and after the initiation of cryoablation. The association of cryoablation use with inpatient opioid use was determined using quantile regression with robust standard errors. Difference in risk-adjusted length of stay between the cohorts was estimated using negative binomial regression. Odds of adverse events between the two cohorts were compared using logistic regression with a generalized estimating equation. RESULTS A total of 5442 patients underwent MIRPE at 44 children's hospitals between 2016 and 2022 with 1592 patients treated after cryoablation was introduced at their hospital. Cryoablation use was associated with a median decrease of 80.8 (95% CI: 68.6-93.0) total oral morphine equivalents as well as a decrease in estimated median length of stay from 3.5 [3.2-3.9] days to 2.5 [2.2-2.9] days ( P value: 0.016). Cryoablation use was not significantly associated with an increase in any studied adverse events. CONCLUSIONS Introduction of cryoablation for perioperative analgesia was associated with decreased inpatient opioid use and length of stay in a large sample with no change in adverse events. This novel modality for perioperative analgesia offers a promising alternative to traditional pain management in thoracic surgery.
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Affiliation(s)
- Samuel C Linton
- Department of Surgery, Division of Pediatric Surgery, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL
| | - Yao Tian
- Surgical Outcomes Quality Improvement Center, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Suhail Zeineddin
- Department of Surgery, Division of Pediatric Surgery, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL
| | - Amin Alayleh
- Department of Surgery, Division of Pediatric Surgery, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL
| | - Chris De Boer
- Department of Surgery, Division of Pediatric Surgery, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL
| | - Seth D Goldstein
- Department of Surgery, Division of Pediatric Surgery, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL
| | - Hassan M K Ghomrawi
- Departments of Surgery and Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Fizan Abdullah
- Department of Surgery, Division of Pediatric Surgery, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL
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21
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Carter EJ, Zavez K, Rogers SC, deMayo R, Harel O, Gerber JS, Aseltine RH. Documented Penicillin Allergies on Antibiotic Selection at Pediatric Emergency Department Visits. Pediatr Emerg Care 2024; 40:283-288. [PMID: 37549307 DOI: 10.1097/pec.0000000000003023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
BACKGROUND Penicillin or amoxicillin are the recommended treatments for the most common pediatric bacterial illnesses. Allergies to penicillin are commonly reported among children but rarely true. We evaluated the impact of reported penicillin allergies on broad-spectrum antibiotic use overall and for the treatment of common respiratory infections among treat-and-release pediatric emergency department (ED) visits. METHODS Retrospective cohort study of pediatric patients receiving antibiotics during a treat-and-release visit at a large, pediatric ED in the northeast from 2014 to 2016. Study exposure was a reported allergy to penicillin in the electronic medical record. Study outcomes were the selection of broad-spectrum antibiotics and alternative (second-line) antibiotic therapy for the treatment of acute otitis media (AOM) and group A streptococcus (GAS) pharyngitis. We used unadjusted and adjusted generalized estimating equation models to analyze the impact of reported penicillin allergies on the selection of broad-spectrum antibiotics. We used unadjusted and adjusted logistic regression models to determine the probability of children with a documented penicillin allergy receiving alternative antibiotic treatments for AOM and GAS. RESULTS Among 12,987 pediatric patients, 810 (6.2%) had a documented penicillin allergy. Penicillin allergies increased the odds of children receiving a broad spectrum versus narrow spectrum antibiotic (adjusted odds ratio, 13.55; 95% confidence interval (CI), 11.34-16.18). In our adjusted logistic regression model, the probability of children with a documented penicillin allergy receiving alternative antibiotic treatment for AOM was 0.97 (95% CI, 0.94-0.99) and for GAS was 0.97 (95% CI, 0.92-0.99). CONCLUSIONS Antibiotic stewardship efforts in pediatric EDs may consider the delabeling of penicillin allergies particularly among children receiving antibiotics for an acute respiratory infection as a target for intervention.
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Affiliation(s)
- Eileen J Carter
- From the University of Connecticut School of Nursing, Storrs, CT
| | - Katherine Zavez
- University of Connecticut Department of Statistics, Storrs, CT
| | - Steven C Rogers
- Pediatric Emergency Medicine, Connecticut Children's, Hartford, CT
| | - Richelle deMayo
- Department of Informatics, Connecticut Children's Medical Center, Hartford, CT
| | - Ofer Harel
- University of Connecticut Department of Statistics, Storrs, CT
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22
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Curley MAQ, Watson RS, Killien EY, Kalvas LB, Perry-Eaddy MA, Cassidy AM, Miller EB, Talukder M, Manning JC, Pinto NP, Rennick JE, Colville G, Asaro LA, Wypij D. Design and rationale of the Post-Intensive Care Syndrome - paediatrics (PICS-p) Longitudinal Cohort Study. BMJ Open 2024; 14:e084445. [PMID: 38401903 PMCID: PMC10895227 DOI: 10.1136/bmjopen-2024-084445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 01/31/2024] [Indexed: 02/26/2024] Open
Abstract
INTRODUCTION As paediatric intensive care unit (PICU) mortality declines, there is growing recognition of the morbidity experienced by children surviving critical illness and their families. A comprehensive understanding of the adverse physical, cognitive, emotional and social sequelae common to PICU survivors is limited, however, and the trajectory of recovery and risk factors for morbidity remain unknown. METHODS AND ANALYSIS The Post-Intensive Care Syndrome - paediatrics Longitudinal Cohort Study will evaluate child and family outcomes over 2 years following PICU discharge and identify child and clinical factors associated with impaired outcomes. We will enrol 750 children from 30 US PICUs during their first PICU hospitalisation, including 500 case participants experiencing ≥3 days of intensive care that include critical care therapies (eg, mechanical ventilation, vasoactive infusions) and 250 age-matched, sex-matched and medical complexity-matched control participants experiencing a single night in the PICU with no intensive care therapies. Children, parents and siblings will complete surveys about health-related quality of life, physical function, cognitive status, emotional health and peer and family relationships at multiple time points from baseline recall through 2 years post-PICU discharge. We will compare outcomes and recovery trajectories of case participants to control participants, identify risk factors associated with poor outcomes and determine the emotional and social health consequences of paediatric critical illness on parents and siblings. ETHICS AND DISSEMINATION This study has received ethical approval from the University of Pennsylvania Institutional Review Board (protocol #843844). Our overall objective is to characterise the ongoing impact of paediatric critical illness to guide development of interventions that optimise outcomes among children surviving critical illness and their families. Findings will be presented at key disciplinary meetings and in peer-reviewed publications at fixed data points. Published manuscripts will be added to our public study website to ensure findings are available to families, clinicians and researchers. TRIALS REGISTRATION NUMBER NCT04967365.
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Affiliation(s)
- Martha A Q Curley
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - R Scott Watson
- University of Washington School of Medicine, Seattle, Washington, USA
- Seattle Children's Research Institute, Seattle, Washington, USA
| | - Elizabeth Y Killien
- University of Washington School of Medicine, Seattle, Washington, USA
- Seattle Children's Research Institute, Seattle, Washington, USA
| | - Laura Beth Kalvas
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mallory A Perry-Eaddy
- School of Nursing, University of Connecticut, Storrs, Connecticut, USA
- School of Medicine, University of Connecticut, Farmington, Connecticut, USA
| | - Amy M Cassidy
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Erica B Miller
- Seattle Children's Research Institute, Seattle, Washington, USA
| | - Mritika Talukder
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Joseph C Manning
- School of Healthcare, University of Leicester, Leicester, UK
- Nottingham Children's Hospital, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Neethi P Pinto
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Janet E Rennick
- McGill University Health Centre, Montreal Children's Hospital, Montreal, Québec, Canada
- Ingram School of Nursing, McGill University, Montreal, Québec, Canada
| | | | - Lisa A Asaro
- Boston Children's Hospital, Boston, Massachusetts, USA
| | - David Wypij
- Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
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23
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Daughtrey HR, Ruiz MO, Felix N, Saynina O, Sanders LM, Anand KJS. Incidence of mental health conditions following pediatric hospital admissions: analysis of a national database. Front Pediatr 2024; 12:1344870. [PMID: 38450296 PMCID: PMC10915034 DOI: 10.3389/fped.2024.1344870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 02/05/2024] [Indexed: 03/08/2024] Open
Abstract
Introduction Despite increasing survival of children following hospitalization, hospitalization may increase iatrogenic risk for mental health (MH) disorders, including acute stress, post-traumatic stress, anxiety, or depression. Using a population-based retrospective cohort study, we assessed the rates of new MH diagnoses during the 12 months after hospitalization, including the moderating effects of ICU exposure. Study design/methods This was a retrospective case control study using the Truven Health Analytics insurance database. Inclusion criteria included children aged 3-21 years, insurance enrollment for >12 months before and after hospital admission. We excluded children with hospitalization 2 years prior to index hospitalization and those with prior MH diagnoses. We extracted admission type, ICD-10 codes, demographic, clinical, and service coordination variables from the database. We established age- and sex-matched cohorts of non-hospitalized children. The primary outcome was a new MH diagnosis. Multivariable regression methods examined the risk of incident MH disorder(s) between hospitalized and non-hospitalized children. Among hospitalized children, we further assessed effect modification from ICU (vs. non-ICU) stay, admission year, length of stay, medical complexity, and geographic region. Results New MH diagnoses occurred among 19,418 (7%) hospitalized children, 3,336 (8%) ICU-hospitalized children and 28,209 (5%) matched healthy controls. The most common MH diagnoses were anxiety (2.5%), depression (1.9%), and stress/trauma (2.2%) disorders. Hospitalization increased the odds of new MH diagnoses by 12.3% (OR: 1.123, 95% CI: 1.079-1.17) and ICU-hospitalization increased these odds by 63% (OR: 1.63, 95% CI: 1.483-1.79) as compared to matched, non-hospitalized children. Children with non-complex chronic diseases (OR: 2.91, 95% CI: 2.84-2.977) and complex chronic diseases (OR: 5.16, 95% CI: 5.032-5.289) had a substantially higher risk for new MH diagnoses after hospitalization compared to patients with acute illnesses. Conclusion Pediatric hospitalization is associated with higher, long-term risk of new mental health diagnoses, and ICU hospitalization further increases that risk within 12 months of the acute episode. Acute care hospitalization confers iatrogenic risks that warrant long-term mental and behavioral health follow-up.
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Affiliation(s)
- Hannah R. Daughtrey
- Pediatric Cardiac Critical Care Medicine, Children’s National Heart Institute, Washington, DC, United States
- Department of Pediatrics, George Washington University School of Medicine, Washington, DC, United States
| | - Monica O. Ruiz
- Department of Pediatric Critical Care Medicine, The Warren Alpert Medical School, Brown University, Providence, RI, United States
| | - Nicole Felix
- Department of Pediatric Critical Care Medicine, The Warren Alpert Medical School, Brown University, Providence, RI, United States
| | - Olga Saynina
- Department of Pediatrics, Stanford Child Wellness Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine, Palo Alto, CA, United States
| | - Lee M. Sanders
- Department of Pediatrics, Stanford Child Wellness Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine, Palo Alto, CA, United States
- Academic General Pediatrics, Stanford University School of Medicine, Palo Alto, CA, United States
| | - Kanwaljeet J. S. Anand
- Department of Pediatrics, Stanford Child Wellness Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine, Palo Alto, CA, United States
- Pediatric Critical Care Medicine, Stanford Children’s Health, Palo Alto, CA, United States
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24
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Tang Girdwood S, Hall M, Antoon JW, Kyler KE, Williams DJ, Shah SS, Orth LE, Goldman J, Feinstein JA, Ramsey LB. Opportunities for Pharmacogenetic Testing to Guide Dosing of Medications in Youths With Medicaid. JAMA Netw Open 2024; 7:e2355707. [PMID: 38349656 PMCID: PMC10865156 DOI: 10.1001/jamanetworkopen.2023.55707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 12/19/2023] [Indexed: 02/15/2024] Open
Abstract
Importance There are an increasing number of medications with a high level of evidence for pharmacogenetic-guided dosing (PGx drugs). Knowledge of the prevalence of dispensings of PGx drugs and their associated genes may allow hospitals and clinical laboratories to determine which pharmacogenetic tests to implement. Objectives To investigate the prevalence of outpatient dispensings of PGx drugs among Medicaid-insured youths, determine genes most frequently associated with PGx drug dispenses, and describe characteristics of youths who were dispensed at least 1 PGx drug. Design, Setting, and Participants This serial cross-sectional study includes data from 2011 to 2019 among youths aged 0 to 17 years in the Marketscan Medicaid database. Data were analyzed from August to December 2022. Main Outcomes and Measures PGx drugs were defined as any medication with level A evidence as determined by the Clinical Pharmacogenetics Implementation Consortium (CPIC). The number of unique youths dispensed each PGx drug in each year was determined. PGx drugs were grouped by their associated genes for which there was CPIC level A evidence to guide dosing, and a dispensing rate (No. of PGx drugs/100 000 youths) was determined for each group for the year 2019. Demographics were compared between youths dispensed at least 1 PGx drug and those not dispensed any PGx drugs. Results The number of Medicaid-insured youths queried ranged by year from 2 078 683 youths in 2011 to 4 641 494 youths in 2017, including 4 126 349 youths (median [IQR] age, 9 [5-13] years; 2 129 926 males [51.6%]) in 2019. The proportion of Medicaid-insured youths dispensed PGx drugs increased from 289 709 youths (13.9%; 95% CI, 13.8%-14.0%) in 2011 to 740 072 youths (17.9%; 95% CI, 17.9%-18.0%) in 2019. Genes associated with the most frequently dispensed medications were CYP2C9, CYP2D6, and CYP2C19 (9197.0 drugs [95% CI, 9167.7-9226.3 drugs], 8731.5 drugs [95% CI, 8702.5-8759.5 drugs], and 3426.8 drugs [95% CI, 3408.1-3443.9 drugs] per 100 000 youths, respectively). There was a higher percentage of youths with at least 1 chronic medical condition among youths dispensed at least 1 PGx drug (510 445 youths [69.0%; 95% CI, 68.8%-69.1%]) than among 3 386 277 youths dispensed no PGx drug (1 381 544 youths [40.8%; 95% CI, 40.7%-40.9%) (P < .001) in 2019. Conclusions and Relevance In this study, there was an increasing prevalence of dispensings for PGx drugs. This finding suggests that pharmacogenetic testing of specific drug-gene pairs should be considered for frequently prescribed PGx drugs and their implicated genes.
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Affiliation(s)
- Sonya Tang Girdwood
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Division of Translational and Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | | | - James W. Antoon
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee
- Division of Hospital Medicine, Monroe Carell Jr Children's Hospital at Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kathryn E. Kyler
- Division of Hospital Medicine, Children’s Mercy Kansas City, Kansas City, Missouri
- Division of Clinical Pharmacology, Children’s Mercy Kansas City, Kansas City, Missouri
- School of Medicine, University of Missouri-Kansas City
| | - Derek J. Williams
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee
- Division of Hospital Medicine, Monroe Carell Jr Children's Hospital at Vanderbilt University Medical Center, Nashville, Tennessee
| | - Samir S. Shah
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Division of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Lucas E. Orth
- Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy, Aurora
| | - Jennifer Goldman
- Division of Clinical Pharmacology, Children’s Mercy Kansas City, Kansas City, Missouri
- School of Medicine, University of Missouri-Kansas City
- Division of Infectious Diseases, Children’s Mercy Kansas City, Kansas City, Missouri
| | - James A. Feinstein
- Adult and Child Consortium for Health Outcomes Research and Delivery Science, Children’s Hospital Colorado, University of Colorado, Aurora
| | - Laura B. Ramsey
- Division of Clinical Pharmacology, Children’s Mercy Kansas City, Kansas City, Missouri
- School of Medicine, University of Missouri-Kansas City
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25
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Choong K, Fraser DD, Al-Farsi A, Awlad Thani S, Cameron S, Clark H, Cuello C, Debigaré S, Ewusie J, Kennedy K, Kho ME, Krasevich K, Martin CM, Thabane L, Nanji J, Watts C, Simpson A, Todt A, Wong J, Xie F, Vu M, Cupido C. Early Rehabilitation in Critically ill Children: A Two Center Implementation Study. Pediatr Crit Care Med 2024; 25:92-105. [PMID: 38240534 DOI: 10.1097/pcc.0000000000003343] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
OBJECTIVES To implement an early rehabilitation bundle in two Canadian PICUs. DESIGN AND SETTING Implementation study in the PICUs at McMaster Children's Hospital (site 1) and London Health Sciences (site 2). PATIENTS All children under 18 years old admitted to the PICU were eligible for the intervention. INTERVENTIONS A bundle consisting of: 1) analgesia-first sedation; 2) delirium monitoring and prevention; and 3) early mobilization. MEASUREMENTS AND MAIN RESULTS Primary outcomes were the duration of implementation, bundle compliance, process of care, safety, and the factors influencing implementation. Secondary endpoints were the impact of the bundle on clinical outcomes such as pain, delirium, iatrogenic withdrawal, ventilator-free days, length of stay, and mortality. Implementation occurred over 26 months (August 2018 to October 2020). Data were collected on 1,036 patients representing 4,065 patient days. Bundle compliance was optimized within 6 months of roll-out. Goal setting for mobilization and level of arousal improved significantly (p < 0.01). Benzodiazepine, opioid, and dexmedetomidine use decreased in site 1 by 23.2% (95% CI, 30.8-15.5%), 26.1% (95% CI, 34.8-17.4%), and 9.2% (95% CI, 18.2-0.2%) patient exposure days, respectively, while at site 2, only dexmedetomidine exposure decreased significantly by 10.5% patient days (95% CI, 19.8-1.1%). Patient comfort, safety, and nursing workload were not adversely affected. There was no significant impact of the bundle on the rate of delirium, ventilator-free days, length of PICU stay, or mortality. Key facilitators to implementation included institutional support, unit-wide practice guidelines, dedicated PICU educators, easily accessible resources, and family engagement. CONCLUSIONS A rehabilitation bundle can improve processes of care and reduce patient sedative exposure without increasing patient discomfort, nursing workload, or harm. We did not observe an impact on short-term clinical outcomes. The efficacy of a PICU-rehabilitation bundle requires ongoing study. Lessons learned in this study provide evidence to inform rehabilitation implementation in the PICU setting.
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Affiliation(s)
- Karen Choong
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Douglas D Fraser
- Department of Medicine, Division of Critical Care, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Ahmed Al-Farsi
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
| | - Saif Awlad Thani
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
| | - Saoirse Cameron
- Lawson Health Research Institute, Children's Hospital at London Health Sciences Center, London, ON, Canada
| | | | - Carlos Cuello
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | | | - Joycelyne Ewusie
- The Research Institute, Biostatistics Unit, St. Joseph's Healthcare, Hamilton, ON, Canada
| | - Kevin Kennedy
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Michelle E Kho
- School of Rehabilitation Science, McMaster University, Hamilton, ON, Canada
| | | | - Claudio M Martin
- Department of Pediatrics, Division of Critical Care, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Lehana Thabane
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
- The Research Institute, Biostatistics Unit, St. Joseph's Healthcare, Hamilton, ON, Canada
| | - Jasmine Nanji
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
| | | | | | | | | | - Feng Xie
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Michael Vu
- Department of Family Medicine, McMaster University, Hamilton, ON, Canada
| | - Cynthia Cupido
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
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Chu VT, Tsitsiklis A, Mick E, Ambroggio L, Kalantar KL, Glascock A, Osborne CM, Wagner BD, Matthay MA, DeRisi JL, Calfee CS, Mourani PM, Langelier CR. The antibiotic resistance reservoir of the lung microbiome expands with age in a population of critically ill patients. Nat Commun 2024; 15:92. [PMID: 38168095 PMCID: PMC10762195 DOI: 10.1038/s41467-023-44353-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 12/11/2023] [Indexed: 01/05/2024] Open
Abstract
Antimicrobial resistant lower respiratory tract infections are an increasing public health threat and an important cause of global mortality. The lung microbiome can influence susceptibility of respiratory tract infections and represents an important reservoir for exchange of antimicrobial resistance genes. Studies of the gut microbiome have found an association between age and increasing antimicrobial resistance gene burden, however, corollary studies in the lung microbiome remain absent. We performed an observational study of children and adults with acute respiratory failure admitted to the intensive care unit. From tracheal aspirate RNA sequencing data, we evaluated age-related differences in detectable antimicrobial resistance gene expression in the lung microbiome. Using a multivariable logistic regression model, we find that detection of antimicrobial resistance gene expression was significantly higher in adults compared with children after adjusting for demographic and clinical characteristics. This association remained significant after additionally adjusting for lung bacterial microbiome characteristics, and when modeling age as a continuous variable. The proportion of adults expressing beta-lactam, aminoglycoside, and tetracycline antimicrobial resistance genes was higher compared to children. Together, these findings shape our understanding of the lung resistome in critically ill patients across the lifespan, which may have implications for clinical management and global public health.
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Affiliation(s)
- Victoria T Chu
- Division of Infectious Diseases & Global Health, University of California, San Francisco, CA, USA
- Division of Infectious Diseases, University of California, San Francisco, CA, USA
| | - Alexandra Tsitsiklis
- Division of Infectious Diseases, University of California, San Francisco, CA, USA
| | - Eran Mick
- Division of Infectious Diseases, University of California, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Division of Pulmonary and Critical Care Medicine, Cardiovascular Research Institute, University of California, San Francisco, CA, USA
| | - Lilliam Ambroggio
- Department of Pediatrics, University of Colorado and Children's Hospital Colorado, Aurora, CO, USA
| | | | | | - Christina M Osborne
- Department of Pediatrics, University of Colorado and Children's Hospital Colorado, Aurora, CO, USA
| | - Brandie D Wagner
- Department of Pediatrics, University of Colorado and Children's Hospital Colorado, Aurora, CO, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
| | - Michael A Matthay
- Division of Pulmonary and Critical Care Medicine, Cardiovascular Research Institute, University of California, San Francisco, CA, USA
| | - Joseph L DeRisi
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Carolyn S Calfee
- Division of Pulmonary and Critical Care Medicine, Cardiovascular Research Institute, University of California, San Francisco, CA, USA
| | - Peter M Mourani
- Arkansas Children's Research Institute, Arkansas Children's Hospital, Little Rock, AR, USA
| | - Charles R Langelier
- Division of Infectious Diseases, University of California, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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27
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Aldewereld Z, Horvat C, Carcillo JA, Clermont G. EMERGENCE OF A TECHNOLOGY-DEPENDENT PHENOTYPE OF PEDIATRIC SEPSIS IN A LARGE CHILDREN'S HOSPITAL. Shock 2024; 61:76-82. [PMID: 38010054 PMCID: PMC10842625 DOI: 10.1097/shk.0000000000002264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
ABSTRACT Objective: To investigate whether pediatric sepsis phenotypes are stable in time. Methods: Retrospective cohort study examining children with suspected sepsis admitted to a Pediatric Intensive Care Unit at a large freestanding children's hospital during two distinct periods: 2010-2014 (early cohort) and 2018-2020 (late cohort). K-means consensus clustering was used to derive types separately in the cohorts. Variables included ensured representation of all organ systems. Results: One thousand ninety-one subjects were in the early cohort and 737 subjects in the late cohort. Clustering analysis yielded four phenotypes in the early cohort and five in the late cohort. Four types were in both: type A (34% of early cohort, 25% of late cohort), mild sepsis, with minimal organ dysfunction and low mortality; type B (25%, 22%), primary respiratory failure; type C (25%, 18%), liver dysfunction, coagulopathy, and higher measures of systemic inflammation; type D (16%, 17%), severe multiorgan dysfunction, with high degrees of cardiorespiratory support, renal dysfunction, and highest mortality. Type E was only detected in the late cohort (19%) and was notable for respiratory failure less severe than B or D, mild hypothermia, and high proportion of diagnoses and technological dependence associated with medical complexity. Despite low mortality, this type had the longest PICU length of stay. Conclusions: This single center study identified four pediatric sepsis phenotypes in an earlier epoch but five in a later epoch, with the new type having a large proportion of characteristics associated with medical complexity, particularly technology dependence. Personalized sepsis therapies need to account for this expanding patient population.
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Affiliation(s)
- Zachary Aldewereld
- Division of Pediatric Critical Care Medicine, Department of Critical Care Medicine, and Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Pittsburgh, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, PA, United States
| | - Christopher Horvat
- Division of Pediatric Critical Care Medicine, Department of Critical Care Medicine, and Division of Division of Health Informatics, Department of Pediatrics, University of Pittsburgh, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, PA, United States
| | - Joseph A Carcillo
- Division of Pediatric Critical Care Medicine, Department of Critical Care Medicine, University of Pittsburgh, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, PA, United States
| | - Gilles Clermont
- Department of Critical Care Medicine, and Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, United States
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Pries AM, Ruskamp JM, Edelenbos E, Fuijkschot J, Semmekrot B, Verbruggen KT, van de Putte E, Puiman PJ. A Systematic Approach to Evaluate Sudden Unexplained Death in Children. J Pediatr 2024; 264:113780. [PMID: 37852434 DOI: 10.1016/j.jpeds.2023.113780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 10/10/2023] [Accepted: 10/11/2023] [Indexed: 10/20/2023]
Abstract
OBJECTIVE To evaluate in the Netherlands the national outcomes in providing cause of and insights into sudden and unexplained child deaths among children via the Postmortem Evaluation of Sudden Unexplained Death in Youth (PESUDY) procedure. STUDY DESIGN Children aged 0-18 years in the Netherlands who died suddenly were included in the PESUDY procedure if their death was unexplained and their parents gave consent. The PESUDY procedure consists of pediatric and forensic examination, biochemical, and microbiological tests; radiologic imaging; autopsy; and multidisciplinary discussion. Data on history, modifiable factors, previous symptoms, performed diagnostics, and cause of death were collected between October 2016 and December 2021. RESULTS In total, 212 cases (median age 11 months, 56% boys, 33% comorbidity) were included. Microbiological, toxicological, and metabolic testing was performed in 93%, 34%, and 32% of cases. In 95% a computed tomography scan or magnetic resonance imaging was done and in 62% an autopsy was performed. The cause of death was explained in 58% of cases and a plausible cause was identified in an additional 13%. Most children died from infectious diseases. Noninfectious cardiac causes were the second leading cause of death found. Modifiable factors were identified in 24% of non-sudden infant death syndrome/unclassified sudden infant death cases and mostly involved overlooked alarming symptoms. CONCLUSIONS The PESUDY procedure is valuable and effective for determining the cause of death in children with sudden unexplained deaths and for providing answers to grieving parents and involved health care professionals.
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Affiliation(s)
- Annelotte Maretta Pries
- Department of General Paediatrics, Erasmus University Medical Center Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Jopje Marlies Ruskamp
- Department of Paediatrics, University Medical Center Utrecht Wilhelmina Children's Hospital, Utrecht, The Netherlands
| | - Esther Edelenbos
- Department of Paediatrics, Amsterdam University Medical Center Emma Children's Hospital, Amsterdam, The Netherlands
| | - Joris Fuijkschot
- Department of Paediatrics, Radboud University Medical Center Amalia Children's Hospital, Nijmegen, The Netherlands
| | - Ben Semmekrot
- Department of Paediatrics, Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands
| | - Krijn Teunis Verbruggen
- Department of Paediatrics, University Medical Center Groningen Beatrix Children's Hospital, Groningen, The Netherlands
| | - Elise van de Putte
- Department of Paediatrics, University Medical Center Utrecht Wilhelmina Children's Hospital, Utrecht, The Netherlands
| | - Patrycja Jolanta Puiman
- Department of General Paediatrics, Erasmus University Medical Center Sophia Children's Hospital, Rotterdam, The Netherlands.
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Chung J, Pecora PJ, Sinha A, Prichett L, Lin FY, Seltzer RR. A gap in the data: Defining, identifying, and tracking children with medical complexity in the child welfare system. CHILD ABUSE & NEGLECT 2024; 147:106600. [PMID: 38118290 DOI: 10.1016/j.chiabu.2023.106600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/30/2023] [Accepted: 12/06/2023] [Indexed: 12/22/2023]
Abstract
BACKGROUND Among nearly 400,000 children in US foster care, an estimated 10 % are medically complex. Yet, population-level data about children with medical complexity (CMC) served by the child welfare system, both for prevention and foster care services, are largely unavailable. OBJECTIVE To understand how US child welfare agencies define, identify, and track CMC. PARTICIPANTS AND SETTING Child welfare agencies across the US. METHODS Agencies were recruited to complete a survey as part of a larger study exploring how CMC are served by the child welfare system. Survey responses related to defining, identifying, and tracking CMC were included in analysis. Descriptive statistical analysis was conducted with Stata. Qualitative content and thematic analysis were applied to free text responses. RESULTS Surveys were completed by agencies from 28 states and 2 major cities. Nearly half of the agencies did not have a clear definition to identify CMC; those that did have a definition often lacked standardization. The majority of agencies could not easily identify CMC or access CMC-related data within data systems. Agencies described lack of a clear definition as a barrier to collecting population level data. CONCLUSIONS Many US child welfare agencies lack a clear definition to identify and track CMC, impacting the ability to tailor care and service delivery to meet their unique needs. To address this, a clear definition for CMC should be developed and consistently applied within child welfare data systems. Once CMC are identifiable, future research can collect population-level data and provide recommendations for best practices and policies.
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Affiliation(s)
- Joyce Chung
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Peter J Pecora
- University of Washington School of Social Work, Seattle, WA, United States of America; Casey Family Programs, Seattle, WA, United States of America
| | - Aakanksha Sinha
- Casey Family Programs, Seattle, WA, United States of America
| | - Laura Prichett
- Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Fang-Yi Lin
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Rebecca R Seltzer
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Berman Institute of Bioethics, Baltimore, MD, United States of America.
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Kaferly J, Orsi-Hunt R, Hosokawa P, Sevick C, Creel LM, Mathieu S, Mark Gritz R. Health Differs by Foster Care Eligibility: A Nine-Year Retrospective Observational Study Among Medicaid-Enrolled Children. Acad Pediatr 2023:S1876-2859(23)00471-0. [PMID: 38142889 DOI: 10.1016/j.acap.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 12/12/2023] [Accepted: 12/14/2023] [Indexed: 12/26/2023]
Abstract
OBJECTIVE This study sought to determine the prevalence and rates of physical, behavioral, and chronic health conditions among Medicaid-enrolled Colorado children by foster care eligibility codes over 9 years. METHODS This retrospective, population-based study used Colorado's Medicaid administrative data for all enrolled children, aged <19 years old, from July 2011 to August 2020 to determine the period prevalence and rates of physical, behavioral, and chronic health conditions. We identified children in foster care by Medicaid eligibility codes and used the Pediatric Medical Complexity Algorithm version 3.0 to describe health condition outcomes. We report frequencies and percentages by foster care eligibility status, birth year cohort, and sex. RESULTS Among 1,084,026 children, we identified 34,971 children in the foster cohort. Rates of physical (1105.0 per 100,000 person-months (PMs)) and behavioral health conditions (583.6 per 100,000 PMs) were two to threefold higher among the foster cohort than peers (physical 685.1 per 100,000 PMs; behavioral 212.2 per 100,000 PMs). By birth cohort, rates of behavioral health conditions among children in foster care were up to 8 times greater than peers. The foster cohort had greater prevalence of chronic conditions with (55.2%) and without (38.6%) behavioral health inclusion. CONCLUSIONS This study provides a broader health assessment among Medicaid-enrolled children and finds condition disparities concentrated among youth in foster care. A more complete understanding of health problems among children in foster care is critical for health, child welfare, and Medicaid systems to improve health outcomes through coordinated and evidence-based interventions, programs, and policies.
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Affiliation(s)
- James Kaferly
- Department of Ambulatory Care Services, Denver Health and Hospital Authority, Denver, Colo; The Kempe Center for the Prevention and Treatment of Child Abuse and Neglect, University of Colorado School of Medicine, Aurora, Colo; Eugene Farley, Jr. Health Policy Center, University of Colorado School of Medicine, Aurora, Colo.
| | - Rebecca Orsi-Hunt
- The Kempe Center for the Prevention and Treatment of Child Abuse and Neglect, University of Colorado School of Medicine, Aurora, Colo.
| | - Patrick Hosokawa
- Adult and Child Consortium for Health Outcomes Research and Delivery Science (ACCORDS), Aurora, Colo.
| | - Carter Sevick
- Adult and Child Consortium for Health Outcomes Research and Delivery Science (ACCORDS), Aurora, Colo.
| | - Liza Michelle Creel
- Eugene Farley, Jr. Health Policy Center, University of Colorado School of Medicine, Aurora, Colo.
| | - Susan Mathieu
- Eugene Farley, Jr. Health Policy Center, University of Colorado School of Medicine, Aurora, Colo.
| | - Robert Mark Gritz
- Eugene Farley, Jr. Health Policy Center, University of Colorado School of Medicine, Aurora, Colo.
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31
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Mitsnefes MM, Maltenfort M, Denburg MR, Flynn JT, Schuchard J, Dixon BP, Patel HP, Claes D, Dickinson K, Chen Y, Gluck C, Leonard M, Verghese PS, Forrest CB. Derivation of paediatric blood pressure percentiles from electronic health records. EBioMedicine 2023; 98:104885. [PMID: 37988770 PMCID: PMC10679476 DOI: 10.1016/j.ebiom.2023.104885] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 11/06/2023] [Accepted: 11/08/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Identification of abnormal blood pressure (BP) in children requires normative data. We sought to examine the feasibility of using "real-world" office BP data obtained from electronic health records (EHR) to generate age-, sex- and height-specific BP percentiles for children. METHODS Using data collected 01/01/2009-8/31/2021 from eight large children's healthcare organisations in PEDSnet, we applied a mixed-effects polynomial regression model with random slopes to generate Z-scores and BP percentiles and compared them with currently used normative BP distributions published in the 2017 American Academy of Paediatrics (AAP) Clinical Practise Guidelines (CPG). FINDINGS We identified a study sample of 292,412 children (1,085,083 BP measurements), ages 3-17 years (53% female), with no chronic medical conditions, who were not overweight/obese and who were primarily seen for general paediatric care in outpatient settings. Approximately 45,000-75,000 children contributed data to each age category. The PEDSnet systolic BP percentile values were 1-4 mmHg higher than AAP CPG BP values across age-sex-height groups, with larger differences observed in younger children. Diastolic BP values were also higher in younger children; starting with age 7 years, diastolic BP percentile values were 1-3 mmHg lower than AAP CPG values. Cohen's Kappa was 0.90 for systolic BP, 0.66 for diastolic BP, and 0.80 overall indicating excellent agreement between PEDSnet and 2017 AAP CPG data for systolic BP and substantial agreement for diastolic BP. INTERPRETATION Our analysis indicates that real-word EHR data can be used to generate BP percentiles consistent with current clinical practise on BP management in children. FUNDING Funding for this work was provided by the Preserving Kidney Function in Children with Chronic Kidney Disease (PRESERVE) study; Patient-Centred Outcomes Research Institute (PCORI) RD-2020C2020338 (Principal Investigator: Dr. Forrest; Co-Principal Investigator: Dr. Denburg).
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Affiliation(s)
- Mark M Mitsnefes
- Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, OH, USA.
| | - Mitchell Maltenfort
- Children's Hospital of Philadelphia, Applied Clinical Research Center, Philadelphia, PA, USA
| | - Michelle R Denburg
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania: Philadelphia, PA, USA; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Joseph T Flynn
- Division of Nephrology, Department of Pediatrics, University of Washington School of Medicine, Seattle Children's Hospital, Seattle, WA, USA
| | - Julia Schuchard
- Children's Hospital of Philadelphia, Applied Clinical Research Center, Philadelphia, PA, USA
| | - Bradley P Dixon
- Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Denver, CO, USA
| | | | - Donna Claes
- Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, OH, USA
| | - Kimberley Dickinson
- Children's Hospital of Philadelphia, Applied Clinical Research Center, Philadelphia, PA, USA
| | - Yong Chen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Caroline Gluck
- Nemours/Alfred I. DuPont Hospital for Children, Wilmington, DE, USA
| | | | - Priya S Verghese
- Ann & Robert H Lurie Children's Hospital, Northwestern Feinberg School of Medicine, Chicago, IL, USA
| | - Christopher B Forrest
- Children's Hospital of Philadelphia, Applied Clinical Research Center, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania: Philadelphia, PA, USA
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Larson IA, Zaniletti I, Gupta R, Wright SM, Winterer C, Toburen C, Williams K, Goodwin EJ, Northup RM, Roderick E, Hall M, Colvin JD. Accuracy of the Exeter Hospitalizations-Office Visits-Medical Conditions-Extra Care-Social Concerns Index for Identifying Children With Complex Chronic Medical Conditions in the Clinical Setting. Acad Pediatr 2023; 23:1553-1560. [PMID: 37516350 DOI: 10.1016/j.acap.2023.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 07/20/2023] [Accepted: 07/22/2023] [Indexed: 07/31/2023]
Abstract
OBJECTIVE Our objective was to determine the accuracy of a point-of-care instrument, the Hospitalizations-Office Visits-Medical Conditions-Extra Care-Social Concerns (HOMES) instrument, in identifying patients with complex chronic conditions (CCCs) compared to an algorithm used to identify patients with CCCs within large administrative data sets. METHODS We compared the HOMES to Feudtner's CCCs classification system. Using administrative algorithms, we categorized primary care patients at a children's hospital into 3 categories: no chronic conditions, non-complex chronic conditions, and CCCs. We randomly selected 100 patients from each category. HOMES scoring was completed for each patient. We performed an optimal cut-point analysis on 80% of the sample to determine which total HOMES score best identified children with ≥1 CCC and ≥2 CCCs. Using the optimal cut points and the remaining 20% of the study population, we determined the odds and area under the curve (AUC) of having ≥1 CCC and ≥2 CCCs. RESULTS The median (interquartile range [IQR]) age was 4 (IQR: 0, 8). Using optimal cut points of ≥7 for ≥1 CCC and ≥11 for ≥2 CCCs, the odds of having ≥1 CCC was 19 times higher than lower scores (odds ratio [OR] 19.1 [95% confidence interval [CI]: 9.75, 37.5]) and of having ≥2 CCCs was 32 times higher (OR 32.3 [95% CI: 12.9, 50.6]). The AUCs were 0.76 for ≥1 CCC (sensitivity 0.82, specificity 0.80) and 0.74 for ≥2 CCCs (sensitivity 0.92, specificity 0.74). CONCLUSIONS The HOMES accurately identified patients with CCCs.
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Affiliation(s)
- Ingrid A Larson
- Administration (IA Larson), Children's Mercy Hospital Kansas, Overland Park
| | - Isabella Zaniletti
- Analytics, Children's Hospital Association (I Zaniletti and M Hall), Kansas City, Kans
| | - Rupal Gupta
- Department of Pediatrics (R Gupta, SM Wright, C Winterer, C Toburen, K Williams, EJ Goodwin, RM Northup, E Roderick, M Hall, and JD Colvin), Children's Mercy Kansas City, Mo
| | - S Margaret Wright
- Department of Pediatrics (R Gupta, SM Wright, C Winterer, C Toburen, K Williams, EJ Goodwin, RM Northup, E Roderick, M Hall, and JD Colvin), Children's Mercy Kansas City, Mo
| | - Courtney Winterer
- Department of Pediatrics (R Gupta, SM Wright, C Winterer, C Toburen, K Williams, EJ Goodwin, RM Northup, E Roderick, M Hall, and JD Colvin), Children's Mercy Kansas City, Mo
| | - Cristy Toburen
- Department of Pediatrics (R Gupta, SM Wright, C Winterer, C Toburen, K Williams, EJ Goodwin, RM Northup, E Roderick, M Hall, and JD Colvin), Children's Mercy Kansas City, Mo
| | - Kristi Williams
- Department of Pediatrics (R Gupta, SM Wright, C Winterer, C Toburen, K Williams, EJ Goodwin, RM Northup, E Roderick, M Hall, and JD Colvin), Children's Mercy Kansas City, Mo
| | - Emily J Goodwin
- Department of Pediatrics (R Gupta, SM Wright, C Winterer, C Toburen, K Williams, EJ Goodwin, RM Northup, E Roderick, M Hall, and JD Colvin), Children's Mercy Kansas City, Mo
| | - Ryan M Northup
- Department of Pediatrics (R Gupta, SM Wright, C Winterer, C Toburen, K Williams, EJ Goodwin, RM Northup, E Roderick, M Hall, and JD Colvin), Children's Mercy Kansas City, Mo
| | - Edie Roderick
- Department of Pediatrics (R Gupta, SM Wright, C Winterer, C Toburen, K Williams, EJ Goodwin, RM Northup, E Roderick, M Hall, and JD Colvin), Children's Mercy Kansas City, Mo
| | - Matt Hall
- Analytics, Children's Hospital Association (I Zaniletti and M Hall), Kansas City, Kans; Department of Pediatrics (R Gupta, SM Wright, C Winterer, C Toburen, K Williams, EJ Goodwin, RM Northup, E Roderick, M Hall, and JD Colvin), Children's Mercy Kansas City, Mo
| | - Jeffrey D Colvin
- Department of Pediatrics (R Gupta, SM Wright, C Winterer, C Toburen, K Williams, EJ Goodwin, RM Northup, E Roderick, M Hall, and JD Colvin), Children's Mercy Kansas City, Mo.
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Abraham C, Garabedian LF, LeCates RF, Galbraith AA. Vaccine Mandates and Influenza Vaccination During the Pandemic. Pediatrics 2023; 152:e2023061545. [PMID: 37814817 PMCID: PMC10691407 DOI: 10.1542/peds.2023-061545] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/14/2023] [Indexed: 10/11/2023] Open
Abstract
OBJECTIVES To determine whether a state influenza vaccine mandate and elevated community coronavirus disease 2019 (COVID-19) severity affected a child's probability of receiving an influenza vaccine during the 2020-2021 influenza season, given the child's previous vaccination history. METHODS Longitudinal cohort study using enrollment and claims data of 71 333 children aged 6 months to 18 years living in Massachusetts, New Hampshire, and Maine, from a regional insurer. Schoolchildren in Massachusetts were exposed to a new influenza vaccine mandate in the 2020-2021 season. Community COVID-19 severity was measured using county-level total cumulative confirmed case counts between March 2020 and August 2020 and linked by zip codes. The primary outcome of interest was a claim for any influenza vaccine in the 2020-2021 season. RESULTS Children living in a state with a vaccine mandate during the 2020-2021 influenza season had a higher predicted probability of receiving an influenza vaccine than those living in states without a mandate (47.7%, confidence interval 46.4%-49.0%, vs 21.2%, confidence interval 18.8%-23.6%, respectively, for previous nonvaccinators, and 78.2%, confidence interval 77.4%-79.0%, vs 58.2%, confidence interval 54.7%-61.7%, for previous vaccinators); the difference was 6.5 percentage points greater among previous nonvaccinators (confidence interval 1.3%-11.7%). Previously vaccinated children had a lower predicted probability of receiving an influenza vaccine if they lived in a county with the highest COVID-19 severity compared with a county with low COVID-19 severity (72.1%, confidence interval 70.5%-73.7%, vs 77.3%, confidence interval 74.7%-79.9%). CONCLUSIONS Strategies to improve uptake of influenza vaccination may have differential impact based on previous vaccination status and should account for community factors.
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Affiliation(s)
- Claire Abraham
- Division of General Pediatrics, Harvard Medical School, Boston, MA
- Department of Pediatrics, Boston Children’s Hospital, Boston, MA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Laura F. Garabedian
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Robert F. LeCates
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Alison A. Galbraith
- Department of Pediatrics, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, MA
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Stone HK, Mitsnefes M, Dickinson K, Burrows EK, Razzaghi H, Luna IY, Gluck CA, Dixon BP, Dharnidharka VR, Smoyer WE, Somers MJ, Flynn JT, Furth SL, Bailey C, Forrest CB, Denburg M, Nehus E. Clinical course and management of children with IgA vasculitis with nephritis. Pediatr Nephrol 2023; 38:3721-3733. [PMID: 37316676 PMCID: PMC10514113 DOI: 10.1007/s00467-023-06023-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 04/25/2023] [Accepted: 05/04/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND IgA vasculitis is the most common vasculitis in children and is often complicated by acute nephritis (IgAVN). Risk of chronic kidney disease (CKD) among children with IgAVN remains unknown. This study aimed to describe the clinical management and kidney outcomes in a large cohort of children with IgAVN. METHODS This observational cohort study used the PEDSnet database to identify children diagnosed with IgAV between January 1, 2009, and February 29, 2020. Demographic and clinical characteristics were compared among children with and without kidney involvement. For children followed by nephrology, clinical course, and management patterns were described. Patients were divided into four categories based on treatment: observation, renin-angiotensin-aldosterone system (RAAS) blockade, corticosteroids, and other immunosuppression, and outcomes were compared among these groups. RESULTS A total of 6802 children had a diagnosis of IgAV, of whom 1139 (16.7%) were followed by nephrology for at least 2 visits over a median follow-up period of 1.7 years [0.4,4.2]. Conservative management was the most predominant practice pattern, consisting of observation in 57% and RAAS blockade in 6%. Steroid monotherapy was used in 29% and other immunosuppression regimens in 8%. Children receiving immunosuppression had higher rates of proteinuria and hypertension compared to those managed with observation (p < 0.001). At the end of follow-up, 2.6 and 0.5% developed CKD and kidney failure, respectively. CONCLUSIONS Kidney outcomes over a limited follow-up period were favorable in a large cohort of children with IgAV. Immunosuppressive medications were used in those with more severe presentations and may have contributed to improved outcomes. A higher resolution version of the Graphical abstract is available as Supplementary information.
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Affiliation(s)
- Hillarey K Stone
- Division of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7022, Cincinnati, OH, 45229, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Mark Mitsnefes
- Division of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7022, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kimberley Dickinson
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Evanette K Burrows
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Hanieh Razzaghi
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ingrid Y Luna
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Caroline A Gluck
- Division of Pediatric Nephrology, Alfred I. duPont Hospital for Children, Wilmington, DE, USA
| | - Bradley P Dixon
- Renal Section, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Vikas R Dharnidharka
- Division of Pediatric Nephrology, Washington University School of Medicine, Saint Louis, MO, USA
| | - William E Smoyer
- Center for Clinical and Translational Research, Abigail Wexner Research Institute, Nationwide Children's Hospital, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Michael J Somers
- Division of Nephrology, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joseph T Flynn
- Division of Nephrology, Department of Pediatrics, Seattle Children's Hospital and University of Washington School of Medicine, Seattle, WA, USA
| | - Susan L Furth
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Charles Bailey
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Christopher B Forrest
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Michelle Denburg
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Edward Nehus
- Department of Pediatrics, West Virginia University Charleston Campus, Charleston, WV, USA
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Austin AM, Schaefer AP, Arakelyan M, Freyleue SD, Goodman DC, Leyenaar JK. Specialties Providing Ambulatory Care and Associated Health Care Utilization and Quality for Children With Medical Complexity. Acad Pediatr 2023; 23:1542-1552. [PMID: 37468062 PMCID: PMC10792122 DOI: 10.1016/j.acap.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/30/2023] [Accepted: 07/11/2023] [Indexed: 07/21/2023]
Abstract
OBJECTIVE Although children with medical complexity (CMC) have substantial health care needs, the extent to which they receive ambulatory care from primary care versus specialist clinicians is unknown. We aimed to determine the predominant specialty providing ambulatory care to CMC (primary care or specialty discipline), the extent to which specialists deliver well-child care, and associations between having a specialty predominant provider and health care utilization and quality. METHODS In a retrospective cohort analysis of 2012-17 all-payer claims data from Colorado, New Hampshire, and Massachusetts, we identified the predominant specialty providing ambulatory care for CMC <18 years. Propensity score weighting was used to create a balanced sample of CMC and assess differences in outcomes, including adequate well-child care, continuity of care, emergency visits, and hospitalizations, between CMC with a primary care versus specialty predominant provider. RESULTS Among 67,218 CMC, 75.3% (n = 50,584) received the plurality of care from a primary care discipline. Body system involvement, age > 2 years, urban residence, and cooccurring disabilities were associated with predominantly receiving care from specialists. After propensity score weighting, there were no significant differences between CMC with a primary care or specialist "predominant specialty seen" (PSS) in ambulatory visit counts, adequate well-child care, hospitalizations, or overall continuity of care. Specialists were the sole providers of well-child care and vaccines for 49.9% and 53.1% of CMC with a specialist PSS. CONCLUSIONS Most CMC received the plurality of care from primary care disciplines, and there were no substantial differences in overall utilization or quality based on the PSS.
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Affiliation(s)
- Andrea M Austin
- The Dartmouth Institute for Health Policy and Clinical Practice (AM Austin, AP Schaefer, SD Freyleue, D Goodman, and JK Leyenaar), Geisel School of Medicine at Dartmouth, Hanover, NH
| | - Andrew P Schaefer
- The Dartmouth Institute for Health Policy and Clinical Practice (AM Austin, AP Schaefer, SD Freyleue, D Goodman, and JK Leyenaar), Geisel School of Medicine at Dartmouth, Hanover, NH
| | - Mary Arakelyan
- Department of Pediatrics (M Arakelyan and JK Leyenaar), Dartmouth Health Children's, Lebanon, NH
| | - Seneca D Freyleue
- The Dartmouth Institute for Health Policy and Clinical Practice (AM Austin, AP Schaefer, SD Freyleue, D Goodman, and JK Leyenaar), Geisel School of Medicine at Dartmouth, Hanover, NH
| | - David C Goodman
- The Dartmouth Institute for Health Policy and Clinical Practice (AM Austin, AP Schaefer, SD Freyleue, D Goodman, and JK Leyenaar), Geisel School of Medicine at Dartmouth, Hanover, NH
| | - JoAnna K Leyenaar
- The Dartmouth Institute for Health Policy and Clinical Practice (AM Austin, AP Schaefer, SD Freyleue, D Goodman, and JK Leyenaar), Geisel School of Medicine at Dartmouth, Hanover, NH; Department of Pediatrics (M Arakelyan and JK Leyenaar), Dartmouth Health Children's, Lebanon, NH.
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Glick AF, Farkas JS, Magro J, Shah AV, Taye M, Zavodovsky V, Rodriguez RH, Modi AC, Dreyer BP, Famiglietti H, Yin HS. Management of Discharge Instructions for Children With Medical Complexity: A Systematic Review. Pediatrics 2023; 152:e2023061572. [PMID: 37846504 PMCID: PMC10598634 DOI: 10.1542/peds.2023-061572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/25/2023] [Indexed: 10/18/2023] Open
Abstract
CONTEXT Children with medical complexity (CMC) are at risk for adverse outcomes after discharge. Difficulties with comprehension of and adherence to discharge instructions contribute to these errors. Comprehensive reviews of patient-, caregiver-, provider-, and system-level characteristics and interventions associated with discharge instruction comprehension and adherence for CMC are lacking. OBJECTIVE To systematically review the literature related to factors associated with comprehension of and adherence to discharge instructions for CMC. DATA SOURCES PubMed/Medline, Embase, Cochrane Central Register of Controlled Trials, PsycInfo, Cumulative Index to Nursing and Allied Health Literature, Web of Science (database initiation until March 2023), and OAIster (gray literature) were searched. STUDY SELECTION Original studies examining caregiver comprehension of and adherence to discharge instructions for CMC (Patient Medical Complexity Algorithm) were evaluated. DATA EXTRACTION Two authors independently screened titles/abstracts and reviewed full-text articles. Two authors extracted data related to study characteristics, methodology, subjects, and results. RESULTS Fifty-one studies were included. More than half were qualitative or mixed methods studies. Few interventional studies examined objective outcomes. More than half of studies examined instructions for equipment (eg, tracheostomies). Common issues related to access, care coordination, and stress/anxiety. Facilitators included accounting for family context and using health literacy-informed strategies. LIMITATIONS No randomized trials met inclusion criteria. Several groups (eg, oncologic diagnoses, NICU patients) were not examined in this review. CONCLUSIONS Multiple factors affect comprehension of and adherence to discharge instructions for CMC. Several areas (eg, appointments, feeding tubes) were understudied. Future work should focus on design of interventions to optimize transitions.
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Affiliation(s)
| | | | - Juliana Magro
- Health Sciences Libraries, NYU Langone Health, New York, New York
| | | | | | | | | | - Avani C. Modi
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- College of Medicine, University of Cincinnati, Cincinnati, Ohio
| | | | | | - H. Shonna Yin
- Department of Pediatrics
- Department of Population Health, NYU Langone Health, New York, New York
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Freed SS, Jones KA, Whitaker RG, Norman K, Carvalho M, Giri A, Lake A, Tchuisseu YP, Repka S, Vasudeva K, Bey N, Bettger JP. Evaluating Telehealth Uptake Among North Carolina Medicaid Beneficiaries With Musculoskeletal Conditions: Insights From the COVID-19 Pandemic. Med Care 2023; 61:750-759. [PMID: 37733405 DOI: 10.1097/mlr.0000000000001915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
BACKGROUND The shift from in-person to virtual visits, known as telehealth (TH), during the COVID-19 pandemic was a significant change for North Carolina (NC) Medicaid beneficiaries seeking treatment for musculoskeletal (MSK) conditions, as remote care for these conditions was previously unavailable. We used this policy change to investigate factors associated with TH uptake and whether TH availability mitigated disparities in access to care or affected emergency department (ED) visits among these beneficiaries. RESEARCH DESIGN Using 2019-2021 NC Medicaid claims, we identified beneficiaries receiving treatment for MSK conditions before COVID-19 (March 2019-February 2020) and analyzed uptake of newly available TH during COVID-19 (April 2020-March 2021). We used descriptive analysis and Poisson generalized estimating equations to quantify TH uptake, factors associated with TH uptake, and the association with ED visits during COVID-19. RESULTS Black and Hispanic beneficiaries were less likely to use TH compared with White and non-Hispanic counterparts (10%, P <0.001 and 20%, P =0.03, respectively). Adults eligible for Tailored Plans, specialized NC Medicaid plans for those with significant behavioral health needs or intellectual/developmental disabilities, were less likely to use TH [adjusted risk ratio (ARR):0.83, 95% CI (0.78, 0.87)]; youth eligible for Tailored Plans were more likely to use TH [ARR:1.28, 95% CI (1.16, 1.42)]. Lower county-level internet access was associated with lower TH use [ARR: 0.85, 95% CI (0.82, 0.99)]. No statistical difference in ED utilization was observed between TH users and non-users. CONCLUSIONS TH has the potential to deliver convenient care to beneficiaries with MSK conditions who can access it. Further research and policy changes should explore and address underlying factors driving disparities and improve equitable access to care for this population.
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Affiliation(s)
- Salama S Freed
- Department of Health Policy and Management, Milken Institute School of Public Health, The George Washington University, Washington, DC
| | - Kelley A Jones
- Department of Population Health Sciences, Duke University School of Medicine
| | | | - Katherine Norman
- Department of Population Health Sciences, Duke University School of Medicine
| | - Marissa Carvalho
- Department of Physical Therapy and Occupational Therapy, Duke Health, Durham NC
| | - Abhigya Giri
- Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC
| | - Ashley Lake
- Duke Physical Therapy Sports Medicine at Center for Living, Duke University, Durham
| | | | | | - Karina Vasudeva
- Department of Health Policy and Management, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Nadia Bey
- Duke Margolis Center for Health Policy, Duke University
| | - Janet Prvu Bettger
- Department of Health and Rehabilitation Sciences, Temple University, Philadelphia, PA
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Bamber MD, Mahony H, Spratling R. Mothers of Children With Special Health Care Needs: Exploring Caregiver Burden, Quality of Life, and Resiliency. J Pediatr Health Care 2023; 37:643-651. [PMID: 37516944 DOI: 10.1016/j.pedhc.2023.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/19/2023] [Accepted: 06/22/2023] [Indexed: 07/31/2023]
Abstract
INTRODUCTION This study aimed to explore caregiver burden, quality of life (QOL), and resilience in mothers of children with special health care needs (CSHCN), compare differences between mothers of CSHCN and healthy children, and differences between mothers of CSHCN on the basis of child severity. METHOD Mothers (n = 106) with a child aged < 18 years were recruited. A cross-sectional design was used. Measures included the Caregiver Burden Inventory, Quality of Life Scale, and Brief Resilience Inventory. Pearson point-biserial correlations and independent t-tests were used to compare group differences. RESULTS Caregiver burden and QOL were negatively correlated (p < .001). Mothers of CSHCN had greater burden (p < .001) and poorer QOL (p = .006). Child severity increased caregiver burden time (p = .003). DISCUSSION Study findings expound on research indicating mothers of CSHCN experience greater burden and poorer QOL than their peers, and child severity increases burden via time commitment. Health care providers should assess risk factors for poor QOL and caregiver burden and provide appropriate resources.
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Hotz A, Sprecher E, Bastianelli L, Rodean J, Stringfellow I, Barkoudah E, Cohen LE, Estrada C, Graham R, Greenwood J, Kyle J, Mann N, Pinkham M, Solari T, Rosen R, Saleeb S, Shah AS, Watters K, Wells S, Berry JG. Categorization of a Universal Coding System to Distinguish Use of Durable Medical Equipment and Supplies in Pediatric Patients. JAMA Netw Open 2023; 6:e2339449. [PMID: 37874565 PMCID: PMC10599121 DOI: 10.1001/jamanetworkopen.2023.39449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 09/05/2023] [Indexed: 10/25/2023] Open
Abstract
Importance Although durable medical equipment and supplies (DMES) are commonly used to optimize the health and function in pediatric patients, little is known about the prevalence of use and spending on DMES. Objective To categorize the Healthcare Common Procedure Coding System (HCPCS) for distinguishing DMES types, and to measure the prevalence and related spending of DMES in pediatric patients using Medicaid. Design, Setting, and Participants This study is a cross-sectional analysis of the 2018 Merative Medicaid Database and included 4 569 473 pediatric patients aged 0 to 21 years enrolled in Medicaid in 12 US states from January 1 to December 31, 2018. Data were analyzed from February 2019 to April 2023. Exposure DMES exposure was identified with the Centers for Medicare & Medicaid Services HCPCS codes. Three pediatricians categorized HCPCS DMES codes submitted by vendors for reimbursement of dispensed DMES into DMES types and end-organ systems; 15 expert reviewers refined the categorization (2576 DMES codes, 164 DMES types, 14 organ systems). Main Outcomes and Measures The main outcome was DMES prevalence & Medicaid spending. The χ2 test was used to compare DMES prevalence and Wilcoxon rank sum tests were used to compare per-member-per-year (PMPY) spending by complex chronic conditions (CCC). Results Of the 4 569 473 patients in the study cohort, 49.3% were female and 56.1% were aged 5 to 15 years. Patients used 133 of 164 (81.1%) DMES types. The DMES prevalence was 17.1% (95% CI, 17.0%-17.2%) ranging from 10.1% (95% CI, 10.0%-10.2%) in patients with no chronic condition to 60.9% (95% CI, 60.8%-61.0%) for patients with 2 or more CCCs. The PMPY DMES spending was $593, ranging from $349 for no chronic condition to $4253 for 2 or more CCCs. Lens (7.9%), vision frames (6.2%), and orthotics for orthopedic injury (0.8%) were the most common DME in patients with no chronic condition. Enteral tube / feeding supplies (19.8%), diapers (19.2%), lower extremity orthotics (12.3%), wheelchair (9.6%), oxygen (9.0%), and urinary catheter equipment (4.2%) were among the most common DMES in children with 2 or more CCCs. Conclusions and Relevance In this cross-sectional study, HCPCS distinguished a variety of DME types and use across pediatric populations. Further investigation should assess the utility of the HCPCS DMES categorization with efforts to optimize the quality and safety of DMES use.
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Affiliation(s)
- Arda Hotz
- Complex Care, Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Eli Sprecher
- Complex Care, Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Lucia Bastianelli
- Cerebral Palsy and Spasticity Center, Boston Children's Hospital, Boston, Massachusetts
| | | | - Isabel Stringfellow
- Complex Care, Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
| | - Elizabeth Barkoudah
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Laurie E. Cohen
- Division of Pediatric Endocrinology & Diabetes, The Children’s Hospital at Montefiore, Bronx, New York
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York
| | - Carlos Estrada
- Department of Urology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Surgery, Harvard Medical School, Boston, Massachusetts
| | - Robert Graham
- Critical Care Medicine, Department of Anesthesiology, Critical Care, and Pain Medicine, Boston Children’s Hospital, Boston, Massachusetts
- Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts
| | - Jonathan Greenwood
- Department of Physical Therapy and Occupational Therapy Services, Boston Children’s Hospital, Boston, Massachusetts
| | | | - Nina Mann
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Division of Nephrology, Boston Children’s Hospital, Boston, Massachusetts
| | - Maria Pinkham
- Department of Physical Therapy and Occupational Therapy Services, Boston Children’s Hospital, Boston, Massachusetts
| | - Toni Solari
- Division of Gastroenterology, Hepatology, and Nutrition, Boston Children’s Hospital, Boston, Massachusetts
| | - Rachel Rosen
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Hepatology, and Nutrition, Boston Children’s Hospital, Boston, Massachusetts
| | - Susan Saleeb
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Department of Cardiology, Boston Children’s Hospital, Boston, Massachusetts
| | - Ankoor S. Shah
- Department of Ophthalmology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts
| | - Karen Watters
- Department of Otolaryngology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Otolaryngology, Harvard Medical School, Boston, Massachusetts
| | - Sarah Wells
- Complex Care, Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
| | - Jay G. Berry
- Complex Care, Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
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Stenson EK, Banks RK, Reeder RW, Maddux AB, Zimmerman J, Meert KL, Mourani PM. Fluid Balance and Its Association With Mortality and Health-Related Quality of Life: A Nonprespecified Secondary Analysis of the Life After Pediatric Sepsis Evaluation. Pediatr Crit Care Med 2023; 24:829-839. [PMID: 37260317 PMCID: PMC10689573 DOI: 10.1097/pcc.0000000000003294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
OBJECTIVES To evaluate the association between fluid balance (FB) and health-related quality of life (HRQL) among children at 1 month following community-acquired septic shock. DESIGN Nonprespecified secondary analysis of the Life After Pediatric Sepsis Evaluation. FB was defined as 100 × [(cumulative PICU fluid input - cumulative PICU fluid output)/PICU admission weight]. Three subgroups were identified: low FB (< 5%), medium FB (5%-15%), and high FB (> 15%) based on cumulative FB on days 0-3 of ICU stay. HRQL was measured at ICU admission and 1 month after using Pediatric Quality of Life Inventory 4.0 Generic Core or Infant Scales or the Stein-Jessop Functional Status Scale. The primary outcome was a composite of mortality or greater than 25% decline in HRQL 1 month after admission compared with baseline. SETTING Twelve academic PICUs in the United States. PATIENTS Critically ill children between 1 month and 18 years, with community-acquired septic shock who survived to at least day 4. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Two hundred ninety-three patients were included of whom 66 (23%) had low FB, 127 (43%) had medium FB, and 100 (34%) had high FB. There was no difference in Pediatric Risk of Mortality Score 3 (median 11 [6, 17]), age (median 5 [1, 12]), or gender (47% female) between FB groups. After adjusting for potential confounders and comparing with medium FB, higher odds of mortality or greater than 25% HRQL decline were seen in both the low FB (odds ratio [OR] 2.79 [1.20, 6.57]) and the high FB (OR 2.16 [1.06, 4.47]), p = 0.027. Compared with medium FB, low FB (OR 4.3 [1.62, 11.84]) and high FB (OR 3.29 [1.42, 8.00]) had higher odds of greater than 25% HRQL decline. CONCLUSIONS Over half of the children who survived septic shock had low or high FB, which was associated with a significant decline in HRQL scores. Prospective studies are needed to determine if optimization of FB can improve HRQL outcomes.
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Affiliation(s)
- Erin K. Stenson
- Section of Pediatric Critical Care Medicine, Department of Pediatrics, Children’s Hospital of Colorado, Aurora, CO
| | - Russell K Banks
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Utah, Salt Lake City, UT
| | - Ron W. Reeder
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Utah, Salt Lake City, UT
| | - Aline B. Maddux
- Section of Pediatric Critical Care Medicine, Department of Pediatrics, Children’s Hospital of Colorado, Aurora, CO
| | - Jerry Zimmerman
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Seattle Children’s Hospital, Seattle Children’s Research Institute, University of Washington School of Medicine, Seattle, WA
| | - Kathleen L. Meert
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Children’s Hospital of Michigan, Central Michigan University, Detroit, MI
| | - Peter M. Mourani
- Section of Critical Care Medicine, Department of Pediatrics, University of Arkansas for Medical Sciences and Arkansas Children’s Hospital, Little Rock, AR
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Oliveira PV, Enes CC, Nucci LB. How are children with medical complexity being identified in epidemiological studies? A systematic review. World J Pediatr 2023; 19:928-938. [PMID: 36574212 DOI: 10.1007/s12519-022-00672-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 12/05/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND There are different definitions to identify/classify children with medical complexity (CMC). We aimed to investigate and describe the definitions used to classify CMC in epidemiological studies. METHODS PubMed, SciELO, LILACS, and EMBASE were searched from 2015 to 2020 (last updated September 15th, 2020) for original studies that presented the definition used to classify/identify CMC in the scientific research method. We applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology. From the included studies, the following were identified: first author, year of publication, design, population, study period, the definition of CMC used, limitations, and strengths. RESULTS Nine hundred and sixty-seven records were identified in the searched databases, and 42 met the inclusion criteria. Of the 42 studies included, the four most frequent definitions used in the articles included in this review were classification of CMC into nine diagnostic categories based on the International Classification of Diseases, Ninth Revision (ICD-9) (35.7%, 15 articles); update of the previous classification for ICD-10 codes with the inclusion of other conditions in the definition (21.4%, nine articles); definition based on a medical complexity algorithm for classification (16.7%, seven articles); and a risk rating system (7.1%, three articles). CONCLUSIONS CMC definitions using diagnostic codes were more frequent. However, several limitations were found in its uses. Our research highlighted the need to improve health information systems to accurately characterize the CMC population and promote the provision of comprehensive care.
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Affiliation(s)
- Patrícia Vicente Oliveira
- Postgraduate Program in Health Sciences, Center for Life Sciences, Pontifical Catholic University of Campinas, Av. John Boyd Dunlop s/n, Campinas, CEP 13060-904, Brazil.
| | - Carla C Enes
- Postgraduate Program in Health Sciences, School of Nutrition, Pontifical Catholic University of Campinas, São Paulo, Brazil
| | - Luciana B Nucci
- Postgraduate Program in Health Sciences, School of Medicine, Pontifical Catholic University of Campinas, São Paulo, Brazil
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Tang AS, Shieh MS, Pekow PS, Prentiss KA, Lindenauer PK, Westafer LM. Treatment of pediatric behavioral health patients with intravenous and intramuscular chemical restraints: Results from a nationwide sample of emergency departments. Acad Emerg Med 2023; 30:1029-1038. [PMID: 37259900 PMCID: PMC11075781 DOI: 10.1111/acem.14754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 05/18/2023] [Accepted: 05/25/2023] [Indexed: 06/02/2023]
Abstract
BACKGROUND Behavioral health crises in pediatric emergency department (ED) patients are increasingly common. Chemical restraints can be utilized for patients who present imminent danger to self or others. We sought to describe the use of intravenous (IV)/intramuscular (IM) chemical restraints for pediatric behavioral health ED patients across a nationwide sample of hospitals and describe factors associated with restraint use. METHODS This was a retrospective study of patients ages 8-17 treated at 822 EDs contributing data to the Premier Healthcare Database between January 1, 2018, and December 31, 2020, with a behavioral health discharge diagnosis. The primary outcome was the use of IV/IM chemical restraint medication. We developed a hierarchical model to examine patient and hospital-level factors associated with treatment with IV/IM chemical restraint medications. RESULTS Of 630,384 cases, 4.8% received IV/IM chemical restraint. Patient factors associated with higher odds of chemical restraint were older age (ages 13-17 years [adjusted odds ratio {AOR} 1.53, 95% confidence interval {CI} 1.48-1.58]), anxiety disorders (AOR 1.69, 95% CI 1.64-1.74), disruptive disorders (AOR 1.61, 95% CI 1.53-1.69), suicide/self-injury (AOR 1.3, 95% CI 1.26-1.34), substance use (AOR 1.24, 95% CI 1.20-1.28), and bipolar disorder (AOR 1.23, 95% CI 1.17-1.30). Participants with complex comorbidities were more likely to receive chemical restraint (AOR 1.32, 95% CI 1.26-1.39). After patient and hospital factors were adjusted for, the median OR indicating the influence of the individual hospital on the odds of chemical restraint was 1.43 (95% CI 1.40-1.47). CONCLUSIONS We found that age and certain behavioral health diagnoses were associated with receipt of IV/IM chemical restraint during pediatric behavioral health ED visits. Additionally, whether a patient was treated with chemical restraints was strongly influenced by the hospital to which they presented for treatment.
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Affiliation(s)
- Andrew S Tang
- Pediatric Emergency Medicine, Rady Children's Hospital, San Diego, California, USA
- Pediatric Emergency Medicine, University of California-San Diego, San Diego, California, USA
| | - Meng-Shiou Shieh
- Department of Healthcare Delivery & Population Science, University of Massachusetts Chan Medical School-Baystate, Springfield, Massachusetts, USA
| | - Penelope S Pekow
- Department of Healthcare Delivery & Population Science, University of Massachusetts Chan Medical School-Baystate, Springfield, Massachusetts, USA
- School of Public Health and Health Sciences, University of Massachusetts, Amherst, Massachusetts, USA
| | - Kimball A Prentiss
- Department of Emergency Medicine, University of Massachusetts Chan Medical School-Baystate, Springfield, Massachusetts, USA
| | - Peter K Lindenauer
- Department of Healthcare Delivery & Population Science, University of Massachusetts Chan Medical School-Baystate, Springfield, Massachusetts, USA
- Division of Hospital Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
- Department of Population and Quantitative Health Science, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Lauren M Westafer
- Department of Healthcare Delivery & Population Science, University of Massachusetts Chan Medical School-Baystate, Springfield, Massachusetts, USA
- Department of Emergency Medicine, University of Massachusetts Chan Medical School-Baystate, Springfield, Massachusetts, USA
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Chu VT, Tsitsiklis A, Mick E, Ambroggio L, Kalantar KL, Glascock A, Osborne CM, Wagner BD, Matthay MA, DeRisi JL, Calfee CS, Mourani PM, Langelier CR. The antibiotic resistance reservoir of the lung microbiome expands with age. RESEARCH SQUARE 2023:rs.3.rs-3283415. [PMID: 37790384 PMCID: PMC10543260 DOI: 10.21203/rs.3.rs-3283415/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Antimicrobial resistant lower respiratory tract infections (LRTI) are an increasing public health threat, and an important cause of global mortality. The lung microbiome influences LRTI susceptibility and represents an important reservoir for exchange of antimicrobial resistance genes (ARGs). Studies of the gut microbiome have found an association between age and increasing antimicrobial resistance gene (ARG) burden, however corollary studies in the lung microbiome remain absent, despite the respiratory tract representing one of the most clinically significant sites for drug resistant infections. We performed a prospective, multicenter observational study of 261 children and 88 adults with acute respiratory failure, ranging in age from 31 days to ≥ 89 years, admitted to intensive care units in the United States. We performed RNA sequencing on tracheal aspirates collected within 72 hours of intubation, and evaluated age-related differences in detectable ARG expression in the lung microbiome as a primary outcome. Secondary outcomes included number and classes of ARGs detected, proportion of patients with an ARG class, and composition of the lung microbiome. Multivariable logistic regression models (adults vs children) or continuous age (years) were adjusted for sex, race/ethnicity, LRTI status, and days from intubation to specimen collection. Detection of ARGs was significantly higher in adults compared with children after adjusting for sex, race/ethnicity, LRTI diagnosis, and days from intubation to specimen collection (adjusted odds ratio (aOR): 2.16, 95% confidence interval (CI): 1.10-4.22). A greater proportion of adults compared with children had beta-lactam ARGs (31% (CI: 21-41%) vs 13% (CI: 10-18%)), aminoglycoside ARGs (20% (CI: 13-30%) vs 2% (CI: 0.6-4%)), and tetracycline ARGs (14% (CI: 7-23%) vs 3% (CI: 1-5%)). Adults ≥70 years old had the highest proportion of these three ARG classes. The total bacterial abundance of the lung microbiome increased with age, and microbiome alpha diversity varied with age. Taxonomic composition of the lung microbiome, measured by Bray Curtis dissimilarity index, differed between adults and children (p = 0.003). The association between age and increased ARG detection remained significant after additionally including lung microbiome total bacterial abundance and alpha diversity in the multivariable logistic regression model (aOR: 2.38, (CI: 1.25-4.54)). Furthermore, this association remained robust when modeling age as a continuous variable (aOR: 1.02, (CI: 1.01-1.03) per year of age). Taken together, our results demonstrate that age is an independent risk factor for ARG detection in the lower respiratory tract microbiome. These data shape our understanding of the lung resistome in critically ill patients across the lifespan, which may have implications for clinical management and global public health.
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Affiliation(s)
- Victoria T. Chu
- Division of Infectious Diseases, University of California, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Alexandra Tsitsiklis
- Division of Infectious Diseases, University of California, San Francisco, CA, USA
| | - Eran Mick
- Division of Infectious Diseases, University of California, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Division of Pulmonary and Critical Care Medicine, Cardiovascular Research Institute, University of California, San Francisco, CA, USA
| | - Lilliam Ambroggio
- Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, CO, USA
| | | | | | - Christina M. Osborne
- Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, CO, USA
| | - Brandie D. Wagner
- Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, CO, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
| | - Michael A. Matthay
- Division of Pulmonary and Critical Care Medicine, Cardiovascular Research Institute, University of California, San Francisco, CA, USA
| | - Joseph L. DeRisi
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Carolyn S. Calfee
- Division of Pulmonary and Critical Care Medicine, Cardiovascular Research Institute, University of California, San Francisco, CA, USA
| | - Peter M. Mourani
- Arkansas Children’s Research Institute, Arkansas Children’s Hospital, Little Rock, AR, USA
| | - Charles R. Langelier
- Division of Infectious Diseases, University of California, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
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Elia J, Pajer K, Prasad R, Pumariega A, Maltenfort M, Utidjian L, Shenkman E, Kelleher K, Rao S, Margolis PA, Christakis DA, Hardan AY, Ballard R, Forrest CB. Electronic health records identify timely trends in childhood mental health conditions. Child Adolesc Psychiatry Ment Health 2023; 17:107. [PMID: 37710303 PMCID: PMC10503059 DOI: 10.1186/s13034-023-00650-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 08/20/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Electronic health records (EHRs) data provide an opportunity to collect patient information rapidly, efficiently and at scale. National collaborative research networks, such as PEDSnet, aggregate EHRs data across institutions, enabling rapid identification of pediatric disease cohorts and generating new knowledge for medical conditions. To date, aggregation of EHR data has had limited applications in advancing our understanding of mental health (MH) conditions, in part due to the limited research in clinical informatics, necessary for the translation of EHR data to child mental health research. METHODS In this cohort study, a comprehensive EHR-based typology was developed by an interdisciplinary team, with expertise in informatics and child and adolescent psychiatry, to query aggregated, standardized EHR data for the full spectrum of MH conditions (disorders/symptoms and exposure to adverse childhood experiences (ACEs), across 13 years (2010-2023), from 9 PEDSnet centers. Patients with and without MH disorders/symptoms (without ACEs), were compared by age, gender, race/ethnicity, insurance, and chronic physical conditions. Patients with ACEs alone were compared with those that also had MH disorders/symptoms. Prevalence estimates for patients with 1+ disorder/symptoms and for specific disorders/symptoms and exposure to ACEs were calculated, as well as risk for developing MH disorder/symptoms. RESULTS The EHR study data set included 7,852,081 patients < 21 years of age, of which 52.1% were male. Of this group, 1,552,726 (19.8%), without exposure to ACEs, had a lifetime MH disorders/symptoms, 56.5% being male. Annual prevalence estimates of MH disorders/symptoms (without exposure to ACEs) rose from 10.6% to 2010 to 15.1% in 2023, a 44% relative increase, peaking to 15.4% in 2019, prior to the Covid-19 pandemic. MH categories with the largest increases between 2010 and 2023 were exposure to ACEs (1.7, 95% CI 1.6-1.8), anxiety disorders (2.8, 95% CI 2.8-2.9), eating/feeding disorders (2.1, 95% CI 2.1-2.2), gender dysphoria/sexual dysfunction (43.6, 95% CI 35.8-53.0), and intentional self-harm/suicidality (3.3, 95% CI 3.2-3.5). White youths had the highest rates in most categories, except for disruptive behavior disorders, elimination disorders, psychotic disorders, and standalone symptoms which Black youths had higher rates. Median age of detection was 8.1 years (IQR 3.5-13.5) with all standalone symptoms recorded earlier than the corresponding MH disorder categories. CONCLUSIONS These results support EHRs' capability in capturing the full spectrum of MH disorders/symptoms and exposure to ACEs, identifying the proportion of patients and groups at risk, and detecting trends throughout a 13-year period that included the Covid-19 pandemic. Standardized EHR data, which capture MH conditions is critical for health systems to examine past and current trends for future surveillance. Our publicly available EHR-mental health typology codes can be used in other studies to further advance research in this area.
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Affiliation(s)
- Josephine Elia
- Department of Pediatrics, Nemours Children's Health Delaware, Sydney Kimmel School of Medicine, Philadelphia, PA, US.
| | - Kathleen Pajer
- Department of Psychiatry, Faculty of Medicine, University of Ottawa, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada
| | - Raghuram Prasad
- Department of Child and Adolescent Psychiatry, Children's Hospital of Philadelphia, Perelman School of Medicine, the University of Pennsylvania, Philadelphia, PA, US
| | - Andres Pumariega
- Department of Psychiatry, University of Florida College of Medicine, University of Florida Health, Gainesville, FL, US
| | - Mitchell Maltenfort
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, US
| | - Levon Utidjian
- Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, US
| | - Elizabeth Shenkman
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, US
| | - Kelly Kelleher
- The Research Institute, Nationwide Children's Hospital, Department of Pediatrics, The Ohio State University College of Medicine, Ohio, US
| | - Suchitra Rao
- Department of Pediatrics, Children's Hospital of Colorado, University of Colorado, Aurora, CO, US
| | - Peter A Margolis
- James Anderson Center for Health Systems Excellence, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, US
| | - Dimitri A Christakis
- Center for Child Health, Behavior and Development, Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, Washington, US
| | - Antonio Y Hardan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, US
| | - Rachel Ballard
- Department of Psychiatry and Behavioral Sciences and Pediatrics, Ann & Robert H. Lurie Children's Hospital, Chicago, IL, US
| | - Christopher B Forrest
- Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, US
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Department of Healthcare Management, Perelman School of Medicine, the University of Pennsylvania, Philadelphia, US
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L Mandel H, Colleen G, Abedian S, Ammar N, Charles Bailey L, Bennett TD, Daniel Brannock M, Brosnahan SB, Chen Y, Chute CG, Divers J, Evans MD, Haendel M, Hall MA, Hirabayashi K, Hornig M, Katz SD, Krieger AC, Loomba J, Lorman V, Mazzotti DR, McMurry J, Moffitt RA, Pajor NM, Pfaff E, Radwell J, Razzaghi H, Redline S, Seibert E, Sekar A, Sharma S, Thaweethai T, Weiner MG, Jae Yoo Y, Zhou A, Thorpe LE. Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: an electronic health record-based analysis from the RECOVER initiative. Sleep 2023; 46:zsad126. [PMID: 37166330 PMCID: PMC10485569 DOI: 10.1093/sleep/zsad126] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/20/2023] [Indexed: 05/12/2023] Open
Abstract
STUDY OBJECTIVES Obstructive sleep apnea (OSA) has been associated with more severe acute coronavirus disease-2019 (COVID-19) outcomes. We assessed OSA as a potential risk factor for Post-Acute Sequelae of SARS-CoV-2 (PASC). METHODS We assessed the impact of preexisting OSA on the risk for probable PASC in adults and children using electronic health record data from multiple research networks. Three research networks within the REsearching COVID to Enhance Recovery initiative (PCORnet Adult, PCORnet Pediatric, and the National COVID Cohort Collaborative [N3C]) employed a harmonized analytic approach to examine the risk of probable PASC in COVID-19-positive patients with and without a diagnosis of OSA prior to pandemic onset. Unadjusted odds ratios (ORs) were calculated as well as ORs adjusted for age group, sex, race/ethnicity, hospitalization status, obesity, and preexisting comorbidities. RESULTS Across networks, the unadjusted OR for probable PASC associated with a preexisting OSA diagnosis in adults and children ranged from 1.41 to 3.93. Adjusted analyses found an attenuated association that remained significant among adults only. Multiple sensitivity analyses with expanded inclusion criteria and covariates yielded results consistent with the primary analysis. CONCLUSIONS Adults with preexisting OSA were found to have significantly elevated odds of probable PASC. This finding was consistent across data sources, approaches for identifying COVID-19-positive patients, and definitions of PASC. Patients with OSA may be at elevated risk for PASC after SARS-CoV-2 infection and should be monitored for post-acute sequelae.
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Affiliation(s)
- Hannah L Mandel
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Gunnar Colleen
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Sajjad Abedian
- Information Technologies and Services Department, Weill Cornell Medicine, New York, NY, USA
| | - Nariman Ammar
- Department of Pediatrics, University of Tennessee Health Science Center College of Medicine Memphis, Memphis, TN, USA
| | - L Charles Bailey
- Applied Clinical Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Tellen D Bennett
- Department of Pediatrics, Children’s Hospital Colorado, Aurora, CO, USA
| | | | - Shari B Brosnahan
- Division of Pulmonary, Department of Medicine, Critical Care and Sleep Medicine, NYU Langone Health, New York, NY, USA¸
| | - Yu Chen
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Christopher G Chute
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Jasmin Divers
- Department of Foundations of Medicine, New York University Long Island School of Medicine, Mineola, NY, USA
| | - Michael D Evans
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN, USA
| | - Melissa Haendel
- Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Margaret A Hall
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | - Kathryn Hirabayashi
- Applied Clinical Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Mady Hornig
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Stuart D Katz
- Leon H. Charney Division of Cardiology, Department of Medicine, NYU Langone Health, New York, NY, USA
| | - Ana C Krieger
- Departments of Medicine, Neurology, and Genetic Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Johanna Loomba
- Integrated Translational Health Research Institute, University of Virginia, Charlottesville, VA, USA
| | - Vitaly Lorman
- Applied Clinical Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Diego R Mazzotti
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | - Julie McMurry
- Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Richard A Moffitt
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | - Nathan M Pajor
- Division of Pulmonary Medicine Cincinnati Children’s Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Emily Pfaff
- Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jeff Radwell
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Hanieh Razzaghi
- Applied Clinical Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | | | - Suchetha Sharma
- Integrated Translational Health Research Institute, University of Virginia, Charlottesville, VA, USA
| | - Tanayott Thaweethai
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Mark G Weiner
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Yun Jae Yoo
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | - Andrea Zhou
- Integrated Translational Health Research Institute, University of Virginia, Charlottesville, VA, USA
| | - Lorna E Thorpe
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
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Leyenaar JK, Freyleue SD, Arakelyan M, Goodman DC, O’Malley AJ. Pediatric Hospitalizations at Rural and Urban Teaching and Nonteaching Hospitals in the US, 2009-2019. JAMA Netw Open 2023; 6:e2331807. [PMID: 37656457 PMCID: PMC10474556 DOI: 10.1001/jamanetworkopen.2023.31807] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 07/07/2023] [Indexed: 09/02/2023] Open
Abstract
Importance National analyses suggest that approximately 1 in 5 US hospitals closed their pediatric units between 2008 and 2018. The extent to which pediatric hospitalizations at general hospitals in rural and urban communities decreased during this period is not well understood. Objective To describe changes in the number and proportion of pediatric hospitalizations and costs at urban teaching, urban nonteaching, and rural hospitals vs freestanding children's hospitals from 2009 to 2019; to estimate the number and proportion of hospitals providing inpatient pediatric care; and to characterize changes in clinical complexity. Design, Setting, and Participants This study is a retrospective cross-sectional analysis of the 2009, 2012, 2016, and 2019 Kids' Inpatient Database, a nationally representative data set of US pediatric hospitalizations among children younger than 18 years. Data were analyzed from February to June 2023. Exposures Pediatric hospitalizations were grouped as birth or nonbirth hospitalizations. Hospitals were categorized as freestanding children's hospitals or as rural, urban nonteaching, or urban teaching general hospitals. Main Outcomes and Measures The primary outcomes were annual number and proportion of birth and nonbirth hospitalizations and health care costs, changes in the proportion of hospitalizations with complex diagnoses, and estimated number and proportion of hospitals providing pediatric care and associated hospital volumes. Regression analyses were used to compare health care utilization in 2019 vs that in 2009. Results The data included 23.2 million (95% CI, 22.7-23.6 million) weighted hospitalizations. From 2009 to 2019, estimated national annual pediatric hospitalizations decreased from 6 425 858 to 5 297 882, as birth hospitalizations decreased by 10.6% (95% CI, 6.1%-15.1%) and nonbirth hospitalizations decreased by 28.9% (95% CI, 21.3%-36.5%). Concurrently, hospitalizations with complex chronic disease diagnoses increased by 45.5% (95% CI, 34.6%-56.4%), and hospitalizations with mental health diagnoses increased by 78.0% (95% CI, 61.6%-94.4%). During this period, the most substantial decreases were in nonbirth hospitalizations at rural hospitals (4-fold decrease from 229 263 to 62 729) and urban nonteaching hospitals (6-fold decrease from 581 320 to 92 118). In 2019, birth hospitalizations occurred at 2666 hospitals. Nonbirth pediatric hospitalizations occurred at 3507 hospitals, including 1256 rural hospitals and 843 urban nonteaching hospitals where the median nonbirth hospitalization volumes were fewer than 25 per year. Conclusions and Relevance Between 2009 and 2019, the largest decreases in pediatric hospitalizations occurred at rural and urban nonteaching hospitals. Clinical and policy initiatives to support hospitals with low pediatric volumes may be needed to maintain hospital access and pediatric readiness, particularly in rural communities.
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Affiliation(s)
- JoAnna K. Leyenaar
- Department of Pediatrics, Dartmouth Health Children’s, Lebanon, New Hampshire
| | - Seneca D. Freyleue
- The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
| | - Mary Arakelyan
- Department of Pediatrics, Dartmouth Health Children’s, Lebanon, New Hampshire
| | - David C. Goodman
- Department of Pediatrics, Dartmouth Health Children’s, Lebanon, New Hampshire
- The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
| | - A. James O’Malley
- The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
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Cockrell H, Wayne D, Wandell G, Wang X, Greenberg SLM, Kieran K, Dick A, Bonilla-Velez J. Understanding Hispanic Patient Satisfaction with Telehealth During COVID-19. J Pediatr Surg 2023; 58:1783-1788. [PMID: 36635160 PMCID: PMC9771577 DOI: 10.1016/j.jpedsurg.2022.12.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 12/05/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Recent studies have described the use of telehealth for pediatric surgical care during the COVID-19 pandemic. We aimed to evaluate equity in telehealth use by comparing rates of utilization and satisfaction with pediatric surgical telemedicine among Hispanic patients. METHODS We conducted a retrospective cohort study of patients seen by a surgical subspecialty provider in the outpatient setting at a quaternary pediatric hospital between April 1 and June 30, 2020. Patients evaluated in the same three-month period in 2019 were analyzed as a historic control. Differences in Family Experience Survey (FES) responses based on race and ethnicity and preferred language of care were assessed using univariable and multivariable generalized linear modeling. RESULTS The pandemic cohort included fewer patients of Hispanic ethnicity and fewer Spanish-speakers. After controlling for visit type, comparison of Spanish-speaking and English-speaking patients revealed that Spanish-speaking families had significantly lower scores for FES items that evaluated healthcare provider explaining (IRR 0.74, 95% CI: 0.61-0.90), listening (IRR 0.76, 95% CI: 0.63-0.92), and time spent with the family (IRR 0.73, 95% CI: 0.60-0.89). There were no differences in FES responses based on insurance status or degree of medical complexity. CONCLUSIONS Telehealth services were less commonly used among Hispanic and Spanish-speaking patients. Language may differentially affect family satisfaction with healthcare and telehealth solutions. Strategies to mitigate these inequities are needed and may include strengthening interpreter services and providing language-concordant care. LEVEL OF EVIDENCE Level IV.
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Affiliation(s)
- Hannah Cockrell
- Division of Pediatric General and Thoracic Surgery, Seattle Children's Hospital, 4800 Sand Point Way NE, Seattle, WA 98105, USA.
| | - David Wayne
- University of Washington School of Medicine, 1959 NE Pacific St, Seattle, WA 98195, USA
| | - Grace Wandell
- Department of Otolaryngology, University of Washington Medical Center, 1959 NE Pacific Street, Seattle, WA 98195, USA
| | - Xing Wang
- Children's Core for Biomedical Statistics, Seattle Children's Hospital, 4800 Sand Point Way NE, Seattle WA 98105, USA
| | - Sarah L M Greenberg
- Division of Pediatric General and Thoracic Surgery, Seattle Children's Hospital, 4800 Sand Point Way NE, Seattle, WA 98105, USA
| | - Kathleen Kieran
- Division of Urology, Seattle Children's Hospital, 4800 Sand Point Way NE, Seattle, WA 98105, United States
| | - André Dick
- Division of Transplant Surgery, Seattle Children's Hospital, 4800 Sand Point Way NE, Seattle, WA 98105, United States
| | - Juliana Bonilla-Velez
- Division of Pediatric Otolaryngology, Seattle Children's Hospital, 4800 Sand Point Way NE, Seattle, WA 98105, USA
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Boerman GH, Haspels HN, de Hoog M, Joosten KF. Characteristics of Long-Stay Patients in a PICU and Healthcare Resource Utilization After Discharge. Crit Care Explor 2023; 5:e0971. [PMID: 37644970 PMCID: PMC10461958 DOI: 10.1097/cce.0000000000000971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023] Open
Abstract
OBJECTIVES To examine the characteristics of long-stay patients (LSPs) admitted to a PICU and to investigate discharge characteristics of medical complexity among discharged LSP. DESIGN We performed a retrospective cohort study where clinical data were collected on all children admitted to our PICU between July 1, 2017, and January 1, 2020. SETTING A single-center study based at Erasmus MC Sophia Children's Hospital, a level III interdisciplinary PICU in The Netherlands, providing all pediatric and surgical subspecialties. PATIENTS LSP was defined as those admitted for at least 28 consecutive days. INTERVENTIONS None. MEASUREMENTS Length of PICU stay, diagnosis at admission, length of mechanical ventilation, need for extracorporeal membrane oxygenation, mortality, discharge location after PICU and hospital admission, medical technical support, medication use, and involvement of allied healthcare professionals after hospital discharge. MAIN RESULTS LSP represented a small proportion of total PICU patients (108 patients; 3.2%) but consumed 33% of the total admission days, 47% of all days on extracorporeal membrane oxygenation, and 38% of all days on mechanical ventilation. After discharge, most LSP could be classified as children with medical complexity (CMC) (76%); all patients received discharge medications (median 5.5; range 2-19), most patients suffered from a chronic disease (89%), leaving the hospital with one or more technological devices (82%) and required allied healthcare professional involvement after discharge (93%). CONCLUSIONS LSP consumes a considerable amount of resources in the PICU and its impact extends beyond the point of PICU discharge since the majority are CMC. This indicates complex care needs at home, high family needs, and a high burden on the healthcare system across hospital borders.
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Affiliation(s)
- Gerharda H Boerman
- Division of Pediatric Intensive Care, Department of Neonatology and Pediatric Intensive Care, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Heleen N Haspels
- Division of Pediatric Intensive Care, Department of Neonatology and Pediatric Intensive Care, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
- Department of Pediatric Intensive Care Unit, Amsterdam Reproduction, and Development, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Transitional Care Unit Consortium, The Netherlands
| | - Matthijs de Hoog
- Division of Pediatric Intensive Care, Department of Neonatology and Pediatric Intensive Care, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
- Transitional Care Unit Consortium, The Netherlands
| | - Koen F Joosten
- Division of Pediatric Intensive Care, Department of Neonatology and Pediatric Intensive Care, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
- Transitional Care Unit Consortium, The Netherlands
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49
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Prout AJ, Banks RK, Reeder RW, Zimmerman JJ, Meert KL. Association of Sex and Age with Mortality and Health-Related Quality of Life in Children with Septic Shock: A Secondary Analysis of the Life After Pediatric Sepsis Evaluation. J Intensive Care Med 2023; 39:8850666231190270. [PMID: 37529851 DOI: 10.1177/08850666231190270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
Introduction: Sepsis is more common in males than females, but whether outcomes differ by sex in various pediatric age groups is unclear. The Life After Pediatric Sepsis Evaluation (LAPSE) was a multicenter prospective cohort study that evaluated health-related quality of life (HRQL) in children after community-acquired septic shock. In this secondary analysis, we evaluated whether male children are at increased risk of mortality or long-term decline in HRQL than female children by age group. Methods: Children (1 month-18 years) with community-acquired septic shock were recruited from 12 pediatric intensive care units in the U.S. Data included sex, age group (<1 year, 1-<13 years, 13-18 years), acute illness severity (acute organ dysfunction and inflammation), and longitudinal assessments of HRQL and mortality. Persistent decline in HRQL was defined as a 10% decrease in HRQL comparing baseline to 3 months following admission. Male and female children were stratified by age group and compared to evaluate the difference in the composite outcome of death or persistent decline in HRQL using the Cochran-Mantel-Haenszel test. Results: Of 389 children, 54.2% (n = 211) were male. Overall, 10% (21/211) of males and 12% (22/178) of females died by 3 months (p = 0.454). Among children with follow-up data, 41% (57/138) of males and 44% (48/108) of females died or had persistent decline in HRQL at 3 months (p = 0.636), with no observed difference by sex when stratified by age group. There was no significant difference in acute illness severity between males and females overall or stratified by age group. Conclusions: In this secondary analysis of the LAPSE cohort, HRQL, and mortality were not different between male and female children when stratified by age group. There were no significant differences by sex across multiple measures of illness severity or treatment intensity.
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Affiliation(s)
- Andrew J Prout
- Section of Pediatric Critical Care, Department of Pediatrics, Children's Hospital of Michigan, Detroit, MI, USA
- Department of Pediatrics, Central Michigan University School of Medicine, Mt. Pleasant, MI, USA
| | - Russell K Banks
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Ron W Reeder
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Jerry J Zimmerman
- Section of Pediatric Critical Care, Department of Pediatrics, Seattle Children's Hospital, Seattle Children's Research Institute, University of Washington School of Medicine, Seattle, WA, USA
| | - Kathleen L Meert
- Section of Pediatric Critical Care, Department of Pediatrics, Children's Hospital of Michigan, Detroit, MI, USA
- Department of Pediatrics, Central Michigan University School of Medicine, Mt. Pleasant, MI, USA
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50
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Cholera R, Anderson DM, Chung R, Genova J, Shrader P, Bleser WK, Saunders RS, Wong CA. Analysis of North Carolina Medicaid Claims Data to Simulate a Pediatric Accountable Care Organization. JAMA Netw Open 2023; 6:e2327264. [PMID: 37540515 PMCID: PMC10403786 DOI: 10.1001/jamanetworkopen.2023.27264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 06/23/2023] [Indexed: 08/05/2023] Open
Abstract
Importance Despite momentum for pediatric value-based payment models, little is known about tailoring design elements to account for the unique needs and utilization patterns of children and young adults. Objective To simulate attribution to a hypothetical pediatric accountable care organization (ACO) and describe baseline demographic characteristics, expenditures, and utilization patterns over the subsequent year. Design, Setting, and Participants This retrospective cohort study used Medicaid claims data for children and young adults aged 1 to 20 years enrolled in North Carolina Medicaid at any time during 2017. Children and young adults receiving at least 50% of their primary care at a large academic medical center (AMC) in 2017 were attributed to the ACO. Data were analyzed from April 2020 to March 2021. Main Outcomes and Measures Primary outcomes were total cost of care and care utilization during the 2018 performance year. Results Among 930 266 children and young adults (377 233 children [40.6%] aged 6-12 years; 470 612 [50.6%] female) enrolled in Medicare in North Carolina in 2017, 27 290 children and young adults were attributed to the ACO. A total of 12 306 Black non-Hispanic children and young adults (45.1%), 6308 Hispanic or Latinx children and young adults (23.1%), and 6531 White non-Hispanic children and young adults (23.9%) were included. Most attributed individuals (23 133 individuals [84.7%]) had at least 1 claim in the performance year. The median (IQR) total cost of care in 2018 was $347 ($107-$1123); 272 individuals (1.0%) accounted for nearly half of total costs. Compared with children and young adults in the lowest-cost quartile, those in the highest-cost quartile were more likely to have complex medical conditions (399 individuals [6.9%] vs 3442 individuals [59.5%]) and to live farther from the AMC (median [IQR distance, 6.0 [4.6-20.3] miles vs 13.9 [4.6-30.9] miles). Total cost of care was accrued in home (43%), outpatient specialty (19%), inpatient (14%) and primary (8%) care. More than half of attributed children and young adults received care outside of the ACO; the median (IQR) cost for leaked care was $349 ($130-$1326). The costliest leaked encounters included inpatient, ancillary, and home health care, while the most frequently leaked encounters included behavioral health, emergency, and primary care. Conclusions and Relevance This cohort study found that while most children attributed to the hypothetical Medicaid pediatric ACO lived locally with few health care encounters, a small group of children with medical complexity traveled long distances for care and used frequent and costly home-based and outpatient specialty care. Leaked care was substantial for all attributed children, with the cost of leaked care being higher than the total cost of care. These pediatric-specific clinical and utilization profiles have implications for future pediatric ACO design choices related to attribution, accounting for children with high costs, and strategies to address leaked care.
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Affiliation(s)
- Rushina Cholera
- Duke Margolis Center for Health Policy, Duke University, Durham, North Carolina
- Duke Department of Pediatrics, Duke University, Durham, North Carolina
- Duke Department of Population Health Sciences, Duke University, Durham, North Carolina
| | - David M. Anderson
- Duke Margolis Center for Health Policy, Duke University, Durham, North Carolina
- Duke Department of Population Health Sciences, Duke University, Durham, North Carolina
| | - Richard Chung
- Duke Department of Pediatrics, Duke University, Durham, North Carolina
| | - Jessica Genova
- Duke Margolis Center for Health Policy, Duke University, Durham, North Carolina
| | - Peter Shrader
- Duke Department of Population Health Sciences, Duke University, Durham, North Carolina
| | - William K. Bleser
- Duke Margolis Center for Health Policy, Duke University, Durham, North Carolina
| | - Robert S. Saunders
- Duke Margolis Center for Health Policy, Duke University, Durham, North Carolina
| | - Charlene A. Wong
- Duke Margolis Center for Health Policy, Duke University, Durham, North Carolina
- Duke Department of Pediatrics, Duke University, Durham, North Carolina
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