Effects of pediatric asthma care coordination in underserved communities on parent perceptions of care and asthma-management confidence

Impact of Neighborhood Deprivation and Social Vulnerability on Outcomes and Interventions in Patients with Cleft Palate

OBJECTIVE

To examine whether neighborhood disadvantage impacts length of follow-up, interventions, and outcomes for patients with cleft palate.

DESIGN

Retrospective cohort.

SETTING

Cleft Palate Craniofacial Institute Database at St. Louis Children's Hospital.

PATIENTS/PARTICIPANTS

Patients with cleft palate following in St. Louis Children's Hospital Cleft Palate Multidisciplinary Team Clinic.

INTERVENTIONS

Primary palatoplasty between 2012-2017. Patients were divided into quartiles across area deprivation index (ADI) and social vulnerability index (SVI), two validated, composite metrics of neighborhood disadvantage, to examine whether living in neighborhoods from different deprivation quartiles impacts outcomes of interest.

MAIN OUTCOME MEASURE

Follow-up through age 5, surgeries and surgical complications, speech, developmental, and behavioral outcomes.

RESULTS

205 patients were included. 39% of patients belonged to the most deprived ADI quartile, while 15% belonged to the most vulnerable SVI quartile. There were no differences between ADI or SVI quartiles in number of operations received (p ≥ 0.40). Patients in the most deprived ADI quartile were significantly more likely to have speech/language concerns (OR 2.32, 95% CI [1.20-4.89], p = 0.01). Being in a more vulnerable SVI quartile was associated with developmental delay (OR 2.29, 95% CI [1.04-5.15], p = 0.04). ADI and SVI quartile did not impact risk of loss to follow-up in the isolated and combined cleft lip and palate subgroups (p ≥ 0.21).

CONCLUSIONS

Neighborhood disadvantage impacts speech and developmental outcomes in patients with cleft palate despite comparable length of follow-up in multidisciplinary team clinic.

Design of a community-based, Hybrid Type II effectiveness-implementation asthma intervention study: The Rhode Island Asthma Integrated Response (RI-AIR) program

BACKGROUND

Pediatric asthma is among the most common health conditions and disproportionately impacts Black and Latino children. Gaps in asthma care exist and may contribute to racial and ethnic inequities. The Rhode Island Asthma Integrated Response (RI-AIR) program was developed to address current limitations in care. The aims of the RI-AIR Hybrid Type II effectiveness-implementation trial were to: a) simultaneously evaluate the effectiveness of RI-AIR on individual-level and community-level outcomes; b) evaluate implementation strategies used to increase uptake of RI-AIR. In this manuscript, we outline the design and methods used to implement RI-AIR.

METHODS

School-based areas (polygons) with the highest asthma-related urgent healthcare utilization in Greater Providence, R.I., were identified using geospatial mapping. Families with eligible children (2-12 years) living in one of the polygons received evidence-based school- and/or home-based asthma management interventions, based on asthma control level. School-based interventions included child and caregiver education programs and school staff trainings. Home-based interventions included individualized asthma education, home-environmental assessments, and strategies and supplies for trigger remediation. Implementation strategies included engaging school nurse teachers as champions, tailoring interventions to school preferences, and engaging families for input.

RESULTS

A total of 6420 children were screened throughout the study period, 811 were identified as eligible, and 433 children were enrolled between November 2018 and December 2021.

CONCLUSIONS

Effective implementation of pediatric asthma interventions is essential to decrease health inequities and improve asthma management. The RI-AIR study serves as an example of a multi-level intervention to improve outcomes and reduce disparities in pediatric chronic disease.

CLINICAL TRIALS REGISTRATION NUMBER

NCT03583814.

Implementation of Coach McLungsSM into primary care using a cluster randomized stepped wedge trial design

Background

Asthma is a prevalent chronic disease that is difficult to manage and associated with marked disparities in outcomes. One promising approach to addressing disparities is shared decision making (SDM), a method by which the patient and provider cooperatively make a decision about asthma care. SDM is associated with improved outcomes for patients; however, time constraints and staff availability are noted implementation barriers. Use of health information technology (IT) solutions may facilitate the utilization of SDM. Coach McLungs^SM is a collaborative web-based application that involves pediatric patients, their caregivers, and providers in a personalized experience while gathering patient-reported data. Background logic provides decision support so both audiences can develop a well-informed treatment plan together. The goal of this study is to evaluate the implementation of the Coach McLungs^SM intervention into primary care.

Methods

Implementation will be evaluated using a stepped wedge randomized control study design at 21 pediatric and family medicine practices within a large, integrated, nonprofit healthcare system. We will measure changes in emergency department visits, hospitalizations, and oral steroid use, which serve as surrogate measures for patient-centered asthma outcomes. We will use a generalized linear mixed models with logit link to test the hypothesis for the reduction in exacerbation rates specifying the fixed effects of intervention and time and random effects for practice and practice*time. This design achieves 84% power to detect the hypothesized effect size difference of 10% in overall exacerbation between control (40%) and intervention (30%) periods (two-sided, p = 0.05). Implementation will be guided using the Expert Recommendations for Implementing Change (ERIC), a compilation of implementation strategies, and evaluated using the CFIR (Consolidated Framework for Implementation Research) and RE-AIM (Reach Effectiveness, Adoption, Implementation, Maintenance).

Discussion

We anticipate that a tailored implementation of Coach McLungs^SM across diverse primary care practices will lead to a decrease in emergency department visits, hospitalizations, and oral steroid use for patients in the intervention group as compared to the control condition.

Trial Registration: Clincaltrials.gov, NCT05059210. Registered 28 September 2021, https://www.clinicaltrials.gov/ct2/show/NCT05059210

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-02030-1.

Care Coordination for Children with Special Health Care Needs: A Scoping Review to Inform Strategies for Students with Traumatic Brain Injuries

BACKGROUND

Chronic and complex medical issues, including traumatic brain injuries (TBIs), have significant educational implications. The purpose of this study was to identify and summarize the literature on care coordination strategies among health care professionals, educators, and caregivers for children with special health care needs (CSHCN). Clarifying factors that influence care coordination for CSHCN can inform future studies on care coordination for students with TBI. Improved understanding of these factors may lead to better communication, reduction of unmet needs, more efficient service access, and improved long-term outcomes for children.

METHODS

A scoping review was conducted, guided by PRISMA-ScR methodology. Five databases (CINAHL, PSYCINFO, EMBASE, ERIC, PubMed) were searched to identify relevant studies that focused on care coordination and educational settings.

RESULTS

Twelve articles met inclusion criteria. Care coordination interventions for CSHCN used in educational settings focused on relationship-building strategies, clear procedures and roles, and education of members of the school community.

CONCLUSIONS

Findings highlight strategies to coordinate care for CSHCN and factors that may moderate effects of these interventions. Key stakeholders should now study these strategies specifically in children with TBI.

A scoping review to inform care coordination strategies for youth with traumatic brain injuries: Care coordination personnel

Introduction & Importance:

Effective, patient-centered care coordination has been shown to improve outcomes for children with special healthcare needs (CSHCN), who often have complex, long-term involvement with multiple service providers. Traumatic brain injury (TBI) can result in long-term physical, intellectual, social, and emotional disabilities that persist long after acute treatment. Yet, even though it is a chronic condition, TBI remains an area with scarce standardization and research surrounding the complex, long-term care coordination need in this population. The purpose of this scoping review is to summarize current research on outcomes in CSHCN after implementation of care coordinators, whether individual or teams, to inform future research for youth with TBI.

Methods:

OVID/Medline, CINAHL, PsycINFO, EMBASE, and ERIC databases were searched for articles relevant to care coordination and CSHCN.

Results:

31 articles met inclusion criteria. Outcomes for children and families were grouped into 5 major categories: healthcare utilization, cost of care, disease status, parent and child quality of life, and healthcare satisfaction and perception of care.

Discussion:

Implementation of care coordinators, whether in the form of individuals, dyads, or teams, resulted in overall positive outcomes for CSHCN and their families across all 5 major outcome domains. Future research should be focused on the efficacy of care coordinators differing in profession, qualifications, and educational attainment specifically for the unique needs of children with TBI. Additionally, the application of care coordination within medical homes should be further investigated to increase proactive, preventative care of children with TBI and further reduce reactive, need-based treatment only.

Concordance of Data on Children's Unmet Health Care Needs Between 2 National Surveys

OBJECTIVE

We used public data from 2 national surveys to determine how survey mode and questionnaire wording potentially impact estimated prevalence and predictors of children's unmet health care needs.

METHODS

Data from 2016-2017 were obtained for the National Health Interview Survey (NHIS), where interviewers ask caregivers about each type of unmet health care need in person, and the National Survey of Children's Health (NSCH), a self-administered questionnaire asking a general question about any unmet health care needs, with subparts about specific types of unmet needs. Weighted proportions and multivariable logistic regression were used to analyze each data set.

RESULTS

The weighted proportion of any unmet health care needs was significantly higher in the NHIS (7.5%; 95% confidence interval [CI], 7.0-8.1; N = 17 723) than in the NSCH (3.3%; 95% CI, 2.9-3.7; N = 65 766). When analyzing specific unmet needs, unmet need for dental care was significantly higher according to the NHIS (4.2% vs 1.9% in the NSCH), as was unmet need for vision care (1.7% vs 0.8%). Conversely, estimates of unmet need for medical care were comparable between the surveys (1.4% and 1.0%). On multivariable analysis, predictors of unmet health care needs, such as being uninsured, had effect sizes of similar magnitude in both surveys.

CONCLUSION

The NHIS design, asking about each type of unmet need in person, may have been more conducive to identifying the full range of unmet health care needs among children. However, our results did not indicate that this was a source of bias in multivariable regression analysis.

Racial/ethnic differences in pediatric asthma management: the importance of asthma knowledge, symptom assessment, and family-provider collaboration

BACKGROUND

Asthma disproportionately impacts youth from marginalized minority backgrounds. Aspects of core asthma management (asthma management and medication beliefs) were examined among a cohort of diverse families.

METHODS

Caregiver-youth dyads (N = 92; Mage= 13.8 years; non-Hispanic/Latinx White (NLW) = 40%; Black/African-American = 25%; Hispanic/Latinx= 35%) completed a medication beliefs questionnaire (Medication Necessity, Medication Concerns) and a semi-structured interview (Family Asthma Management System Scale (FAMSS)). FAMSS subscales (Asthma Knowledge, Symptom Assessment, Family Response to Symptoms, Child Response to Symptoms, Environmental Control, Medication Adherence, Family-Provider Collaboration, and Balanced Integration) were used for analyses.

RESULTS

More Hispanic/Latinx families were at or below the poverty line (75%) relative to NLW (22%) and Black/African-American (39%) families (p < 0.001). Adherence (p < 0.01), Knowledge (p < 0.001), and Symptom Assessment (p < 0.01) were higher for NLW relative to Black/African-American families. Collaboration was higher among NLW (p = 0.01) and Hispanic/Latinx families (p = 0.05). Effect sizes were moderate (η2= 0.10-0.12). Parental race/ethnicity moderated the relationship between adherence and parental perceived medication concern and necessity for NLW and Hispanic/Latinx families. As medication concerns increased, medication adherence decreased, however, only for NLW and Hispanic/Latinx families.

CONCLUSIONS

In this sample, racial/ethnic differences emerged for elements of asthma management. Interview-based ratings of asthma management among Black/African-American families depicted lower asthma knowledge, lower levels of family-provider collaboration, and lower medication adherence. The relationship between medication concerns and adherence appeared to differ by ethnic group. Future research is needed to elucidate cultural factors that influence family-provider relationships and health-related behaviors, like medication use/adherence.

The Future(s) of Pediatric Primary Care

Pediatric primary care (PPC) arose in the early 20th century as the fusion of acute and chronic pediatric illness care with preventive elements borrowed from public and maternal and child health. Well-established and thriving by the 1930s, PPC saw major changes in childhood morbidity and mortality in the latter half of the 20th century with the recognition of the "new morbidity" of school, behavior, and social problems. At the same time, PPC experienced changes in its workforce, which became increasingly female and added nurse practitioners and physician assistants as practitioners. Independent practice, previously the dominant business model, decreased in prominence at the end of the 20th century as health systems bought practices and other sites morphed into federally qualified health centers. In the present century, electronic health records (EHRs) have brought profound changes in PPC workflows and practitioner experience. In addition, disruptive market competition such as retail clinics and corporate telemedicine providers coupled with changes in health insurance from fee-for-service to value-based payment further challenge the care model and economics of PPC. Finally, recognition of family social circumstances as major determinants of children's health presents another challenge to the status quo. As such, although one PPC future may resemble its present state, a more innovative future is likely to include clinics and practices more oriented toward and linked to communities and directed at the social determinants of health. In addition, the rise in physical, behavioral, and social problems in practice call for a growing focus on wellness, including sleep, nutrition, and activity, that promises to reorient the PPC future in productive new directions. The half-way technology of current EHR systems will ideally be spun into electronic hubs that facilitate teamwork between PPC, specialists, and community groups. Research and practice improvement strategies including involvement in "learning health systems" will be critical to making PPC effective in an evolving society. Although threatened by 21st century forces and hard-to-anticipate change, PPC is ideally positioned to build upon its core functions to create multidisciplinary teams that reach into the community, promoting a holistic wellness for children consistent with the broadest definition of health.

Health disparities in allergic and immunologic conditions in racial and ethnic underserved populations: A Work Group Report of the AAAAI Committee on the Underserved

Health disparities are health differences linked with economic, social, and environmental disadvantage. They adversely affect groups that have systematically experienced greater social or economic obstacles to health. Renewed efforts are needed to reduced health disparities in the United States, highlighted by the disparate impact on racial minorities during the coronavirus pandemic. Institutional or systemic patterns of racism are promoted and legitimated through accepted societal standards, and organizational processes within the field of medicine, and contribute to health disparities. Herein, we review current evidence regarding health disparities in allergic rhinitis, asthma, atopic dermatitis, food allergy, drug allergy, and primary immune deficiency disease in racial and ethnic underserved populations. Best practices to address these disparities involve addressing social determinants of health and adopting policies to improve access to specialty care and treatment for the underserved through telemedicine and community partnerships, cross-cultural provider training to reduce implicit bias, inclusion of underserved patients in research, implementation of culturally competent patient education, and recruitment and training of health care providers from underserved communities. Addressing health disparities requires a multilevel approach involving patients, health providers, local agencies, professional societies, and national governmental agencies.

Therapeutic Inertia in Prescribing Biologics for Patients with Moderate-to-Severe Asthma: Workshop Summary

Moderate-to-severe asthma represents about a quarter of the nearly 10% of Americans diagnosed with asthma. Many patients with moderate-to-severe asthma have uncontrolled symptoms that lead to exacerbations requiring oral corticosteroids. There are many factors contributing to poor asthma control, including poor adherence to prescribed therapies, the under-prescribing of biologics and therapeutic inertia. We convened an eight-member panel from fields of primary care, pulmonology, immunology, health services and clinical research, behavioral science and pharmaceutical medical affairs, with the goal of identifying contributing factors and solutions to therapeutic inertia with asthma biologics. We used the Capability, Opportunity, and Motivation (COM-B) model to classify patient and provider behavior towards therapeutic inertia. The model incorporates existing behavior theories and is driven by the interaction of capability, opportunity, and motivation. We used a Delphi method to identify and develop six primary solutions: 1) integration of patient-centered outcomes into asthma management practice; 2) provider education about asthma treatment; 3) moderate-to-severe asthma care delivery redesign; 4) harmonized, evidence-based protocol for the management of moderate-to-severe asthma; 5) designated coordinator approach for optimal asthma management; and 6) a case coordination digital support tool. Integration of patient-centered outcomes into asthma management practice and provider education were identified as having the highest potential to impact therapeutic and clinical inertia. The COM-B model is effective in identifying improvement within therapeutic inertia targeting the capabilities, opportunities, and motivations of patients, providers, and payer systems.

Impact of a self-monitoring application on pediatric asthma disparities

OBJECTIVES

We previously reported improved outcomes after implementing the electronic-AsthmaTracker (e-AT), a self-monitoring tool for children with asthma, at 11 ambulatory pediatric clinics. This study assesses e-AT adherence and impact across race/ethnicity subgroups.

STUDY DESIGN

Secondary data analysis of a prospective cohort study of children ages 2-17 years with persistent asthma, enrolled from January 2014 to December 2015 to use the e-AT for 1 year. Survival analysis was used to compare e-AT use adherence and generalized estimating equation models to compare outcomes pre- and post e-AT initiation, between race/ethnicity subgroups.

RESULTS

Data from 318 children with baseline measurements were analyzed: 76.4 % white, 11.3 % Hispanic, 7.8 % "other", and 4.4 % unknown race/ethnicity subgroups. Mean e-AT adherence was 82 % (95 %CI: 79-84 %, reference) for whites, 73 % (64-81 %, p = 0.025) for Hispanics, and 78 % (69-86 %, p = 0.373) for other minorities. Compared to whites, Cox proportional hazard ratio for study dropout risk was 2.14 (1.31-3.77, p = 0.001) for Hispanics and 0.95 (0.60-1.50, p = 0.834) for other minorities. Disparities existed at baseline, with lower QOL (74.9 vs 80.6; p = 0.025) and asthma control (18.4 vs 19.7; p = 0.027) among Hispanics, compared to whites. After e-AT initiation, disparities disappeared at 3 months for QOL (87.2 vs 90.5; p = 0.159) and asthma control (23.1 vs 22.4; p = 0.063), persisting until study end. Disparities also existed at baseline, with lower QOL (74.6 vs. 80.6; p = 0.042) and asthma control (18.2 vs. 19.7, p = 0.024) among "other" minorities, compared to whites, and disappeared at 3 months for QOL (92.7 vs. 90.5, p = 0.432) and asthma control (22.7 vs 22.4; p = 0.518), persisting until study end. Subgroup analysis was underpowered to detect a difference in oral steroid use or ED/hospital admissions.

CONCLUSIONS

Our study shows improved asthma control and QOL among minorities and disparity elimination after e-AT implementation. Future adequately powered studies will explore the impact on oral steroid and ED/hospital use disparities.

Attending Follow-up Appointments After Pediatric Traumatic Brain Injury: Caregiver-Perceived Barriers and Facilitators

OBJECTIVE

To examine barriers and facilitators for follow-up care of children with traumatic brain injury (TBI).

SETTING

Urban children's hospital.

PARTICIPANTS

Caregivers of children (aged 2-18 years) discharged from an inpatient unit with a TBI diagnosis in 2014-2015.

DESIGN

Survey of caregivers.

MAIN MEASURES

Caregiver-reported barriers and facilitators to follow-up appointment attendance.

RESULTS

The sample included 159 caregivers who completed the survey. The top 3 barriers were "no need" (38.5%), "schedule conflicts" (14.1%), and "lack of resources" (10.3%). The top 5 identified facilitators were "good hospital experience" (68.6%), "need" (37.8%), "sufficient resources" (35.8%), "well-coordinated appointments" (31.1%), and "provision of counseling and support" (27.6%). Caregivers with higher income were more likely to report "no need" as a barrier; females were less likely to do so. Nonwhite caregivers and those without private insurance were more likely to report "lack of resources" as a barrier. Females were more likely to report "good hospital experience" and "provision of counseling and support" as a facilitator. Nonwhite caregivers were more likely to report "need" but less likely to report "sufficient resources" as facilitators.

CONCLUSIONS

Care coordination, assistance with resources, and improvements in communication and the hospital experience are ways that adherence might be enhanced.

Healthcare pathway discovery and probabilistic machine learning

BACKGROUND AND PURPOSE

Healthcare pathways define the execution sequence of clinical activities as patients move through a treatment process, and they are critical for maintaining quality of care. The aim of this study is to combine healthcare pathway discovery with predictive models of individualized recovery times. The pathway discovery has a particular emphasis on producing pathway models that are easy to interpret for clinicians without a sufficient background in process mining. The predictive model takes the stochastic volatility of pathway performance indicators into account.

METHOD

This study utilizes the business process-mining software ProM to design a process mining pipeline for healthcare pathway discovery and enrichment using hospital records. The efficacy of combining learned healthcare pathways with probabilistic machine learning models is demonstrated via a case study that applies the proposed process mining pipeline to discover appendicitis pathways from hospital records. Machine learning methodologies based on probabilistic programming are utilized to explore pathway features that influence patient recovery time.

RESULTS

The produced appendicitis pathway models are easy for clinical interpretation and provide an unbiased overview of patient movements through the treatment process. Analysis of the discovered pathway model enables reasons for longer than usual treatment times to be explored and deviations from standard treatment pathways to be identified. A probabilistic regression model that estimates patient recovery time based on the information extracted by the process mining pipeline is developed and has the potential to be very useful for hospital scheduling purposes.

CONCLUSION

This study establishes the application of the business process modelling tool ProM for the improvement of healthcare pathway mining methods. The proposed pipeline for healthcare pathway discovery has the potential to support the development of probabilistic machine learning models to further relate healthcare pathways to performance indicators such as patient recovery time.

Interaction patterns of trauma providers are associated with length of stay

Background

Trauma-related hospitalizations drive a high percentage of health care expenditure and inpatient resource consumption, which is directly related to length of stay (LOS). Robust and reliable interactions among health care employees can reduce LOS. However, there is little known about whether certain patterns of interactions exist and how they relate to LOS and its variability. The objective of this study is to learn interaction patterns and quantify the relationship to LOS within a mature trauma system and long-standing electronic medical record (EMR).

Methods

We adapted a spectral co-clustering methodology to infer the interaction patterns of health care employees based on the EMR of 5588 hospitalized adult trauma survivors. The relationship between interaction patterns and LOS was assessed via a negative binomial regression model. We further assessed the influence of potential confounders by age, number of health care encounters to date, number of access action types care providers committed to patient EMRs, month of admission, phenome-wide association study codes, procedure codes, and insurance status.

Results

Three types of interaction patterns were discovered. The first pattern exhibited the most collaboration between employees and was associated with the shortest LOS. Compared to this pattern, LOS for the second and third patterns was 0.61 days (P = 0.014) and 0.43 days (P = 0.037) longer, respectively. Although the 3 interaction patterns dealt with different numbers of patients in each admission month, our results suggest that care was provided for similar patients.

Discussion

The results of this study indicate there is an association between LOS and the extent to which health care employees interact in the care of an injured patient. The findings further suggest that there is merit in ascertaining the content of these interactions and the factors that induce these differences in interaction patterns within a trauma system.

Managing Asthma in Low-Income, Underrepresented Minority, and Other Disadvantaged Pediatric Populations: Closing the Gap

PURPOSE OF REVIEW

In this article, we review current understanding of the epidemiology and etiology of disparities in asthma. We also highlight current and emerging literature on solutions to tackle disparities while underscoring gaps and pressing future directions.

RECENT FINDINGS

Tailored, multicomponent approaches including the home, school, and clinician-based interventions show great promise. Managing asthma in disadvantaged populations can be challenging as they tend to have disproportionately worse outcomes due to a multitude of factors. However, multifaceted, innovative interventions that are sustainable and scalable are key to improving outcomes.