1
|
Pérez-Ardanaz B, Gutiérrez-Rodríguez L, Pelaez-Cantero MJ, Morales-Asencio JM, Gómez-González A, García-Piñero JM, Lupiañez-Perez I. Healthcare service use for children with chronic complex diseases: A longitudinal six-year follow-up study. J Pediatr Nurs 2024; 77:e132-e138. [PMID: 38594165 DOI: 10.1016/j.pedn.2024.04.001] [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: 01/19/2023] [Revised: 04/01/2024] [Accepted: 04/01/2024] [Indexed: 04/11/2024]
Abstract
PURPOSE The objective was analysed the patterns use of healthcare services of this population and the influence of their clinical and sociodemographic characteristics. DESIGN AND METHODS A six-year longitudinal follow-up study was performed to evaluate the annual healthcare resources use and clinical data among children with complex chronic diseases in Spain between 2015 and 2021. The sample trends in healthcare usage and the associated factors were analysed using ANCOVA and multivariable linear regression models. RESULTS Patients had high attendance during the follow-up period, with >15 episodes year. This trend decreased over time, especially in children with oncological diseases compared with other diseases (F (16.75; 825.4) = 32.457; p < 0.001). A multivariable model showed that children with a greater number of comorbidities (β = 0.17), shorter survival time (β = -0.23), who had contact with the palliative care unit (β = 0.16), and whose mothers had a higher professional occupation (β = 0.14), had a greater use of the healthcare system. CONCLUSIONS Children with a higher number of comorbidities and the use of medical devices made a greater frequentation of health services, showing a trend of decreasing use over time. Socioeconomic factors such as mothers' occupational status determine healthcare frequentation. These results suggest the existence of persistent gaps in care coordination sustained over time. PRACTICAL IMPLICATIONS Systematized and coordinated models of care for this population should consider the presence of inequalities in health care use.
Collapse
Affiliation(s)
- Bibiana Pérez-Ardanaz
- Universidad de Málaga, Faculty of Health Sciences, Department of Nursing, Spain; Instituto de Investigación Biomédica de Málaga-Bionand (IBIMA), Spain.
| | - Laura Gutiérrez-Rodríguez
- Universidad de Málaga, Faculty of Health Sciences, Department of Nursing, Spain; Instituto de Investigación Biomédica de Málaga-Bionand (IBIMA), Spain.
| | | | - José Miguel Morales-Asencio
- Universidad de Málaga, Faculty of Health Sciences, Department of Nursing, Spain; Instituto de Investigación Biomédica de Málaga-Bionand (IBIMA), Spain.
| | - Alberto Gómez-González
- Universidad de Málaga, Faculty of Health Sciences, Department of Nursing, Spain; Instituto de Investigación Biomédica de Málaga-Bionand (IBIMA), Spain.
| | - José Miguel García-Piñero
- Universidad de Málaga, Faculty of Health Sciences, Department of Nursing, Spain; Pediatric Intensive Care Unit, Hospital Materno-Infantil, Málaga, Spain
| | - Inmaculada Lupiañez-Perez
- Universidad de Málaga, Faculty of Health Sciences, Department of Nursing, Spain; Instituto de Investigación Biomédica de Málaga-Bionand (IBIMA), Spain.
| |
Collapse
|
2
|
Andrist E, Clarke RG, Phelps KB, Dews AL, Rodenbough A, Rose JA, Zurca AD, Lawal N, Maratta C, Slain KN. Understanding Disparities in the Pediatric ICU: A Scoping Review. Pediatrics 2024; 153:e2023063415. [PMID: 38639640 DOI: 10.1542/peds.2023-063415] [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] [Accepted: 02/06/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Health disparities are pervasive in pediatrics. We aimed to describe disparities among patients who are likely to be cared for in the PICU and delineate how sociodemographic data are collected and categorized. METHODS Using MEDLINE as a data source, we identified studies which included an objective to assess sociodemographic disparities among PICU patients in the United States. We created a review rubric, which included methods of sociodemographic data collection and analysis, outcome and exposure variables assessed, and study findings. Two authors reviewed every study. We used the National Institute on Minority Health and Health Disparities Research Framework to organize outcome and exposure variables. RESULTS The 136 studies included used variable methods of sociodemographic data collection and analysis. A total of 30 of 124 studies (24%) assessing racial disparities used self- or parent-identified race. More than half of the studies (52%) dichotomized race as white and "nonwhite" or "other" in some analyses. Socioeconomic status (SES) indicators also varied; only insurance status was used in a majority of studies (72%) evaluating SES. Consistent, although not uniform, disadvantages existed for racial minority populations and patients with indicators of lower SES. The authors of only 1 study evaluated an intervention intended to mitigate health disparities. Requiring a stated objective to evaluate disparities aimed to increase the methodologic rigor of included studies but excluded some available literature. CONCLUSIONS Variable, flawed methodologies diminish our understanding of disparities in the PICU. Meaningfully understanding and addressing health inequity requires refining how we collect, analyze, and interpret relevant data.
Collapse
Affiliation(s)
- Erica Andrist
- Division of Pediatric Critical Care Medicine
- Departments of Pediatrics
| | - Rachel G Clarke
- Division of Pediatric Critical Care Medicine, Upstate University Hospital, Syracuse, New York
- Center for Bioethics and Humanities, SUNY Upstate Medical University, Syracuse, New York
| | - Kayla B Phelps
- Division of Pediatric Critical Care Medicine, Louisiana State University Health Sciences Center, Children's Hospital of New Orleans, New Orleans, Louisiana
| | - Alyssa L Dews
- Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan
- Susan B. Meister Child Health and Adolescent Research Center, University of Michigan, Ann Arbor, Michigan
| | - Anna Rodenbough
- Division of Pediatric Critical Care Medicine, Children's Hospital of Atlanta, Atlanta, Georgia
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia
| | - Jerri A Rose
- Pediatric Emergency Medicine
- Department of Pediatrics, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Adrian D Zurca
- Division of Critical Care, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Nurah Lawal
- Stepping Stones Pediatric Palliative Care Program, C.S. Mott Children's Hospital, Ann Arbor, Michigan
- Departments of Pediatrics
| | - Christina Maratta
- Department of Critical Care, The Hospital for Sick Children, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Katherine N Slain
- Pediatric Critical Care Medicine, Rainbow Babies and Children's Hospital, Cleveland, Ohio
- Department of Pediatrics, Case Western Reserve University School of Medicine, Cleveland, Ohio
| |
Collapse
|
3
|
McCrory MC, Akande M, Slain KN, Kennedy CE, Winter MC, Stottlemyre MG, Wakeham MK, Barnack KA, Huang JX, Sharma M, Zurca AD, Pinto NP, Dziorny AC, Maddux AB, Garg A, Woodruff AG, Hartman ME, Timmons OD, Heidersbach RS, Cisco MJ, Sochet AA, Wells BJ, Halvorson EE, Saha AK. Child Opportunity Index and Pediatric Intensive Care Outcomes: A Multicenter Retrospective Study in the United States. Pediatr Crit Care Med 2024; 25:323-334. [PMID: 38088770 DOI: 10.1097/pcc.0000000000003427] [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] [Indexed: 03/02/2024]
Abstract
OBJECTIVES To evaluate for associations between a child's neighborhood, as categorized by Child Opportunity Index (COI 2.0), and 1) PICU mortality, 2) severity of illness at PICU admission, and 3) PICU length of stay (LOS). DESIGN Retrospective cohort study. SETTING Fifteen PICUs in the United States. PATIENTS Children younger than 18 years admitted from 2019 to 2020, excluding those after cardiac procedures. Nationally-normed COI category (very low, low, moderate, high, very high) was determined for each admission by census tract, and clinical features were obtained from the Virtual Pediatric Systems LLC (Los Angeles, CA) data from each site. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Among 33,901 index PICU admissions during the time period, median patient age was 4.9 years and PICU mortality was 2.1%. There was a higher percentage of admissions from the very low COI category (27.3%) than other COI categories (17.2-19.5%, p < 0.0001). Patient admissions from the high and very high COI categories had a lower median Pediatric Index of Mortality 3 risk of mortality (0.70) than those from the very low, low, and moderate COI groups (0.71) ( p < 0.001). PICU mortality was lowest in the very high (1.7%) and high (1.9%) COI groups and highest in the moderate group (2.5%), followed by very low (2.3%) and low (2.2%) ( p = 0.001 across categories). Median PICU LOS was between 1.37 and 1.50 days in all COI categories. Multivariable regression revealed adjusted odds of PICU mortality of 1.30 (95% CI, 0.94-1.79; p = 0.11) for children from a very low versus very high COI neighborhood, with an odds ratio [OR] of 0.996 (95% CI, 0.993-1.00; p = 0.05) for mortality for COI as an ordinal value from 0 to 100. Children without insurance coverage had an OR for mortality of 3.58 (95% CI, 2.46-5.20; p < 0.0001) as compared with those with commercial insurance. CONCLUSIONS Children admitted to a cohort of U.S. PICUs were often from very low COI neighborhoods. Children from very high COI neighborhoods had the lowest risk of mortality and observed mortality; however, odds of mortality were not statistically different by COI category in a multivariable model. Children without insurance coverage had significantly higher odds of PICU mortality regardless of neighborhood.
Collapse
Affiliation(s)
- Michael C McCrory
- Department of Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, NC
- Department of Pediatrics, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Manzilat Akande
- Pediatrics, Oklahoma University Health Sciences Center, Oklahoma City, OK
| | - Katherine N Slain
- Pediatrics, University Hospitals Rainbow Babies and Children's Hospital, Cleveland, OH
| | | | - Meredith C Winter
- Department of Anesthesiology Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | | | - Kyle A Barnack
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Johns Hopkins All Children's Hospital, St. Petersburg, FL
| | - Jia Xin Huang
- Pediatrics, University of California San Francisco, UCSF Benioff Children's Hospital Oakland, Oakland, CA
- Pediatrics, University of California San Francisco, UCSF Benioff Children's Hospital San Francisco, San Francisco, CA
| | - Meesha Sharma
- Pediatrics, University of California San Francisco, UCSF Benioff Children's Hospital Oakland, Oakland, CA
- Pediatrics, University of California San Francisco, UCSF Benioff Children's Hospital San Francisco, San Francisco, CA
| | - Adrian D Zurca
- Pediatrics, Northwestern University Feinberg School of Medicine and Robert H. Lurie Children's Hospital of Chicago, Chicago, IL
| | - Neethi P Pinto
- Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Adam C Dziorny
- Pediatrics, University of Rochester School of Medicine, Rochester, NY
| | - Aline B Maddux
- Pediatrics, Section of Critical Care Medicine, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO
| | - Anjali Garg
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Johns Hopkins Charlotte Bloomberg Children's Center, Baltimore, MD
| | - Alan G Woodruff
- Department of Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, NC
- Department of Pediatrics, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Mary E Hartman
- Pediatrics, Washington University School of Medicine, St. Louis, MO
| | - Otwell D Timmons
- Pediatrics, Atrium Health Levine Children's Hospital, Charlotte, NC
| | - R Scott Heidersbach
- Pediatrics, University of California San Francisco, UCSF Benioff Children's Hospital Oakland, Oakland, CA
| | - Michael J Cisco
- Pediatrics, University of California San Francisco, UCSF Benioff Children's Hospital San Francisco, San Francisco, CA
| | - Anthony A Sochet
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Johns Hopkins All Children's Hospital, St. Petersburg, FL
| | - Brian J Wells
- Department of Biostatistics and Data Science; Wake Forest University School of Medicine, Winston-Salem, NC
| | - Elizabeth E Halvorson
- Department of Pediatrics, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Amit K Saha
- Department of Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, NC
| |
Collapse
|
4
|
Sferra SR, Salvi PS, Penikis AB, Weller JH, Canner JK, Guo M, Engwall-Gill AJ, Rhee DS, Collaco JM, Keiser AM, Solomon DG, Kunisaki SM. Racial and Ethnic Disparities in Outcomes Among Newborns with Congenital Diaphragmatic Hernia. JAMA Netw Open 2023; 6:e2310800. [PMID: 37115544 PMCID: PMC10148194 DOI: 10.1001/jamanetworkopen.2023.10800] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 03/02/2023] [Indexed: 04/29/2023] Open
Abstract
Importance There is some data to suggest that racial and ethnic minority infants with congenital diaphragmatic hernia (CDH) have poorer clinical outcomes. Objective To determine what patient- and institutional-level factors are associated with racial and ethnic differences in CDH mortality. Design, Setting, and Participants Multicenter cohort study of 49 US children's hospitals using the Pediatric Health Information System database from January 1, 2015, to December 31, 2020. Participants were patients with CDH admitted on day of life 0 who underwent surgical repair. Patient race and ethnicity were guardian-reported vs hospital assigned as Black, Hispanic (White or Black), or White. Data were analyzed from August 2021 to March 2022. Exposures Patient race and ethnicity: (1) White vs Black and (2) White vs Hispanic; and institutional-level diversity (as defined by the percentage of Black and Hispanic patients with CDH at each hospital): (1) 30% or less, (2) 31% to 40%, and (3) more than 40%. Main Outcomes and Measures The primary outcomes were in-hospital and 60-day mortality. The study hypothesized that hospitals managing a more racially and ethnically diverse population of patients with CDH would be associated with lower mortality among Black and Hispanic infants. Results Among 1565 infants, 188 (12%), 306 (20%), and 1071 (68%) were Black, Hispanic, and White, respectively. Compared with White infants, Black infants had significantly lower gestational ages (mean [SD], White: 37.6 [2] weeks vs Black: 36.6 [3] weeks; difference, 1 week; 95% CI for difference, 0.6-1.4; P < .001), lower birthweights (White: 3.0 [1.0] kg vs Black: 2.7 [1.0] kg; difference, 0.3 kg; 95% CI for difference, 0.2-0.4; P < .001), and higher extracorporeal life support use (White: 316 patients [30%] vs Black: 69 patients [37%]; χ21 = 3.9; P = .05). Black infants had higher 60-day (White: 99 patients [9%] vs Black: 29 patients [15%]; χ21 = 6.7; P = .01) and in-hospital (White: 133 patients [12%] vs Black: 40 patients [21%]; χ21 = 10.6; P = .001) mortality . There were no mortality differences in Hispanic patients compared with White patients. On regression analyses, institutional diversity of 31% to 40% in Black patients (hazard ratio [HR], 0.17; 95% CI, 0.04-0.78; P = .02) and diversity greater than 40% in Hispanic patients (HR, 0.37; 95% CI, 0.15-0.89; P = .03) were associated with lower mortality without altering outcomes in White patients. Conclusions and Relevance In this cohort study of 1565 who underwent surgical repair patients with CDH, Black infants had higher 60-day and in-hospital mortality after adjusting for disease severity. Hospitals treating a more racially and ethnically diverse patient population were associated with lower mortality in Black and Hispanic patients.
Collapse
Affiliation(s)
- Shelby R. Sferra
- Division of General Pediatric Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Pooja S. Salvi
- Division of Pediatric Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut
| | - Annalise B. Penikis
- Division of General Pediatric Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jennine H. Weller
- Division of General Pediatric Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Joseph K. Canner
- Department of Surgery, Yale University School of Medicine, New Haven, Connecticut
| | - Matthew Guo
- Division of General Pediatric Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Abigail J. Engwall-Gill
- Division of General Pediatric Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Daniel S. Rhee
- Division of General Pediatric Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Joseph M. Collaco
- Division of Pediatric Pulmonology, Department of Pediatrics, Johns Hopkins Children’s Center, Baltimore, Maryland
| | - Amaris M. Keiser
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Johns Hopkins Children’s Center, Baltimore, Maryland
| | - Daniel G. Solomon
- Division of Pediatric Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut
| | - Shaun M. Kunisaki
- Division of General Pediatric Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| |
Collapse
|
5
|
Healthcare Equity in Pediatric Otolaryngology. Otolaryngol Clin North Am 2022; 55:1287-1299. [DOI: 10.1016/j.otc.2022.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
6
|
Hamilton H, West AN, Ammar N, Chinthala L, Gunturkun F, Jones T, Shaban-Nejad A, Shah SH. Analyzing Relationships Between Economic and Neighborhood-Related Social Determinants of Health and Intensive Care Unit Length of Stay for Critically Ill Children With Medical Complexity Presenting With Severe Sepsis. Front Public Health 2022; 10:789999. [PMID: 35570956 PMCID: PMC9099028 DOI: 10.3389/fpubh.2022.789999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 03/09/2022] [Indexed: 11/27/2022] Open
Abstract
Objectives Of the Social Determinants of Health (SDoH), we evaluated socioeconomic and neighborhood-related factors which may affect children with medical complexity (CMC) admitted to a Pediatric Intensive Care Unit (PICU) in Shelby County, Tennessee with severe sepsis and their association with PICU length of stay (LOS). We hypothesized that census tract-level socioeconomic and neighborhood factors were associated with prolonged PICU LOS in CMC admitted with severe sepsis in the underserved community. Methods This single-center retrospective observational study included CMC living in Shelby County, Tennessee admitted to the ICU with severe sepsis over an 18-month period. Severe sepsis CMC patients were identified using an existing algorithm incorporated into the electronic medical record at a freestanding children's hospital. SDoH information was collected and analyzed using patient records and publicly available census-tract level data, with ICU length of stay as the primary outcome. Results 83 encounters representing 73 patients were included in the analysis. The median PICU LOS was 9.04 days (IQR 3.99–20.35). The population was 53% male with a median age of 4.1 years (IQR 1.96–12.02). There were 57 Black/African American patients (68.7%) and 85.5% had public insurance. Based on census tract-level data, about half (49.4%) of the CMC severe sepsis population lived in census tracts classified as suffering from high social vulnerability. There were no statistically significant relationships between any socioeconomic and neighborhood level factors and PICU LOS. Conclusion Pediatric CMC severe sepsis patients admitted to the PICU do not have prolonged lengths of ICU stay related to socioeconomic and neighborhood-level SDoH at our center. A larger sample with the use of individual-level screening would need to be evaluated for associations between social determinants of health and PICU outcomes of these patients.
Collapse
Affiliation(s)
- Hunter Hamilton
- Department of Pediatrics, Division of Pediatric Critical Care Medicine, University of Tennessee Health Science Center College of Medicine, Memphis, TN, United States
| | - Alina N West
- Department of Pediatrics, Division of Pediatric Critical Care Medicine, University of Tennessee Health Science Center College of Medicine, Memphis, TN, United States
| | - Nariman Ammar
- University of Tennessee Health Science Center - Oak-Ridge National Laboratory Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, Memphis, TN, United States
| | - Lokesh Chinthala
- Clinical Trials Network of Tennessee, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Fatma Gunturkun
- University of Tennessee Health Science Center - Oak-Ridge National Laboratory Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, Memphis, TN, United States
| | - Tamekia Jones
- Departments of Pediatrics and Preventive Medicine, University of Tennessee Health Science Center College of Medicine, Memphis, TN, United States.,Children's Foundation Research Institute Biostatistics Core, Memphis, TN, United States
| | - Arash Shaban-Nejad
- University of Tennessee Health Science Center - Oak-Ridge National Laboratory Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, Memphis, TN, United States
| | - Samir H Shah
- Department of Pediatrics, Division of Pediatric Critical Care Medicine, University of Tennessee Health Science Center College of Medicine, Memphis, TN, United States
| |
Collapse
|