Key Points
Question
Are asthma-specific interventions addressing social risks associated with asthma-related health care utilization among children?
Findings
In this systematic review of 38 studies and meta-analysis of 19 studies (comprising 5441 participants), participation in a social risk–based intervention was associated with significantly reduced risk of asthma-related emergency department visits and hospitalizations among children.
Meaning
Findings suggest that it is important to consider universal social risk screening and implementation of social risk–based interventions as elements of pediatric asthma care guidelines.
Abstract
Importance
Social determinants of health (SDOH) correlate with pediatric asthma morbidity, yet whether interventions addressing social risks are associated with asthma outcomes among children is unclear.
Objective
To catalog asthma interventions by the social risks they address and synthesize their associations with asthma-related emergency department (ED) visits and hospitalizations among children.
Data Sources
PubMed, Scopus, PsycINFO, SocINDEX, CINAHL, and references of included full-text articles were searched from January 1, 2008, to June 16, 2021.
Study Selection
Included articles were US-based studies evaluating the associations of interventions addressing 1 or more social risks with asthma-related ED visits and hospitalizations among children. The systematic review included 38 of the original 641 identified articles (6%), and the meta-analysis included 19 articles (3%).
Data Extraction and Synthesis
Data extraction followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guideline. The SDOH intervention clusters were identified by grouping studies according to the social risks they addressed, using the Healthy People 2020 SDOH framework. Random-effects models created pooled risk ratios (RRs) as the effect estimates.
Main Outcomes and Measures
Patients with ED visits or hospitalizations were the primary outcomes. Subgroup analyses were conducted by an SDOH intervention cluster. Sensitivity analyses were conducted for each, removing outlier studies and studies failing to meet the minimum quality threshold.
Results
In total, 38 studies were included in the systematic review, with 19 of these studies providing data for the meta-analysis (5441 participants). All interventions addressed 1 or more of the health, environment, and community domains; no interventions focused on the economy or education domains. In the primary analysis, social risk interventions were associated with decreased ED visits (RR, 0.68; 95% CI, 0.57-0.81; I2 = 70%) and hospitalizations (RR, 0.50; 95% CI, 0.37-0.68; I2 = 69%). In subgroup analyses, the health, environment, and community intervention cluster produced the lowest RR for ED visits (RR, 0.53; 95% CI, 0.44-0.64; I2 = 50%) and for hospitalizations (RR, 0.33; 95% CI, 0.20-0.55; I2 = 71%) compared with other intervention clusters. Sensitivity analyses did not alter primary or subgroup effect estimates.
Conclusions and Relevance
The results of this systematic review and meta-analysis indicate that social risk interventions are associated with decreased asthma-related ED visits and hospitalizations among children. These findings suggest that addressing social risks may be a crucial component of pediatric asthma care to improve health outcomes.
This systematic review and meta-analysis uses the Healthy People 2020 social determinants of health framework to assess whether asthma interventions addressing social risks are associated with decreased asthma-related emergency department visits and hospitalizations among children.
Introduction
Social determinants of health (SDOH) are major drivers of health outcomes and health inequities among both children and adults and may play a much larger role in determining health outcomes than health care.1 Social determinants of health are “upstream” community conditions that affect people’s quality of life and health outcomes and shape the world in which people live, learn, work, and play.1 Social risks, or adverse social conditions individuals experience,2 are the “midstream” manifestation of SDOH. Policies and laws are needed to address these SDOH.3 Family-level interventions may mediate social risks.2 Health care systems and community groups should address social risks because that may improve health outcomes for individuals. Simultaneously, advocating for policy change is needed to address the root causes of health inequities for communities.3 This is underscored in adult populations with chronic diseases. Adults connected with meal delivery services4 to address food insecurity and transitional housing units5 to address housing instability have decreased health care utilization and costs.
Asthma is a common pediatric chronic medical condition.6 A former Health and Human Services Secretary rhetorically stated,3 “How can a mother with an asthmatic son really improve his health if it’s their living environment that’s driving his condition?” Asthma-related health care utilization among children correlates with SDOH. Emergency department (ED) visits and hospitalizations for asthma are associated with adverse neighborhood measures of crime, educational attainment, and household income.7,8 Length and cost of asthma-related hospitalizations increase with worsening neighborhood deprivation.9 This body of research highlights the association between children’s environment and their health.10 Asthma is the logical pediatric disease to evaluate the ability of interventions to address social risks.2
Two recent reviews cataloged pediatric asthma interventions using SDOH frameworks.11,12 One narrative review examined risk factors by level of associated effect (individuals, neighborhoods, or health care systems) and then cataloged interventions by location (school, community or home).11 The authors highlighted the need to address factors unique to high-risk neighborhoods, including navigating limited access to care.11 A scoping review used the World Health Organization’s SDOH framework to examine associations of structural and intermediary determinants with asthma outcomes.12 Their results reinforced the association between SDOH and asthma morbidity.12
To the best of our knowledge, asthma interventions have not been systematically analyzed using the Healthy People (HP) 2020 SDOH framework. This framework is composed of 5 SDOH domains: economic stability (economy), education (education), social and community context (community), health and health care (health), and neighborhood and the built environment (environment).10 In addition, asthma interventions have not been evaluated for their ability to effect children’s health utilization by addressing social risks. We designed this meta-analysis to begin to address this gap in the literature. We sought to respond to the call by the American Academy of Pediatrics to catalog and develop interventions addressing the pillars of poverty to improve pediatric health outcomes.13
The objectives of this meta-analysis are to (1) systematically review pediatric asthma interventions by the social risks addressed using the HP 2020 framework and (2) synthesize the association of social risk–based interventions for pediatric asthma with asthma-related utilization outcomes.
Methods
Study Eligibility
We created a review protocol identifying studies that examined social risk interventions for pediatric asthma using the HP SDOH 2020 framework to classify the focus of each intervention. Studies in the United States were included if (1) outcome variables included asthma-related ED visits or hospitalizations, (2) 1 or more social risks (categorized by HP 2020 framework) were addressed by the intervention (exposure), (3) an intervention was evaluated, (4) the study population reported separate outcomes for children 18 years of age or younger, and (5) the study was published during or after 2008. This start date was the publication year for the US-based HP 2020 framework. This systematic review and meta-analysis was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline.
Studies were excluded from the systematic review and meta-analysis if they did not separate results between children and adult participants, were not conducted in the US, were published before 2008, did not evaluate an intervention, or reported a composite measure of acute health care utilization that included scheduled or unscheduled clinic encounters.
Information Sources and Search Strategy
All authors, including a professional medical librarian (S.K.), created the search strategy (eAppendix in the Supplement) and conducted the initial literature search. Five major databases were searched from January 1, 2008, to the present: PubMed, Scopus, PsychINFO, SocINDEX, and CINAHL. References of included full-text articles were searched for additional studies to include. Databases were last checked on June 16, 2021.
Study Selection
Two of us (J.T. and K.P.) independently completed a title and abstract review using the Covidence online program.14 Disagreements were resolved through discussion and consensus agreement. One of us (J.T.) examined the reference lists of the included full-text articles for additional studies that met inclusion criteria.
Systematic Review Data Extraction
One of us (J.T.) extracted data using a Microsoft Excel–based form. Extracted variables included study characteristics (authors, publication year, and study design); study population (number of participants and age); intervention details (intervention components, SDOH domains of the addressed social risk factors, setting, target audience, and duration); and outcome variables (outcome measurement, time from intervention completion to outcome measurement, and reporting method). Multiple outcome measurements were included in the systematic review: (1) patients with ED visits or hospitalizations, (2) total number of ED visits and hospitalizations by study group, (3) length of stay, and (4) hospitalization charges. If outcomes data for multiple time periods were provided, data for all periods were extracted.
SDOH Intervention Classification
Studies were cataloged according to the HP 2020 SDOH domain of the social risks they addressed. The HP 2020 SDOH domains are economy, education, community, health, and environment. Studies that addressed social risks belonging to the same SDOH domains were grouped together to identify clusters of interventions inherent to this review. For example, studies that addressed 1 or more social risks in 1 domain (eg, health) were grouped as a single domain intervention cluster. Studies that addressed social risks from multiple domains (eg, health and environment) were grouped into a multidomain intervention cluster. Interventions incorporating asthma education were cataloged under health literacy (health). Interventions using community health workers were cataloged under social cohesion (community).
Quality Assessment Methods
Study quality was assessed for all studies included in the systematic review and meta-analysis with an established tool used in a prior meta-analysis of asthma interventions.15 This tool assesses 6 domains: (1) intervention description, (2) participants, (3) study measures, (4) strength of findings, (5) accounting for data variation, and (6) ethics. A threshold of minimum quality in 4 of 6 domains was used.
Statistical Analysis
Asthma-related ED visits and hospitalizations were chosen as 2 patient-centered outcome measures. These events represent life-threatening exacerbations that are costly and potentially preventable.16 In addition, 4 HP 2030 goals focus on reducing asthma-related ED visits and hospitalizations among children.17 Extracted variables for these analyses included (1) the number of patients with ED or hospitalization events in the control (preintervention) and intervention (postintervention) groups (numerator) and (2) the number of total participants in each group (denominator). If studies did not provide patients with events (eg, provided only mean differences or total events per group), authors were contacted. Of 18 authors contacted, 6 responded, and 2 provided meta-analysis data. The 16 studies for which data were not provided were excluded from the meta-analysis.
Pooled risk ratios (RRs) with corresponding 95% CIs were the effect estimates for each outcome. We used RevMan software18 to create those estimates with random-effects models and inverse-variance analysis. Study heterogeneity was assessed using the I2 statistic.
Subgroup and Sensitivity Analyses
Subgroup analyses were conducted for each identified SDOH intervention cluster. Two sensitivity analyses were completed: (1) removal of outliers (individual studies with 95% CIs that did not overlap with the overall estimated 95% CI)19 and (2) removal of studies that failed to meet minimum quality standards in 4 of 6 domains.
Results
Study Selection
The initial search identified 641 articles. Of these, 66 were included in the full-text review. We identified 24 additional articles from the reference lists of the included full-text articles. In total, 38 studies were included in the systematic review, and 19 studies were included in the meta-analysis (5441 participants) (Figure 1). The most frequent reasons for exclusion from the systematic review and meta-analysis were study design (most commonly noninterventional, retrospective studies) and study outcomes (most commonly process outcomes or outpatient utilization outcomes).
Figure 1. Flowchart of Study Identification and Selection.
Study Characteristics
All included studies addressed social risks belonging to the health (n = 35), environment (n = 21), and community (n = 15) domains (Table 1).20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57 Some studies addressed social risks in more than 1 domain category; thus, the total number does not equal the number of included studies. No included studies addressed social risks in the economy or education domains. Most interventions addressed social risks belonging to multiple domains (n = 23) rather than to a single SDOH domain (n = 15). Table 220,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57 provides intervention descriptions. The intervention details, including study design, duration, setting, and outcomes, are given in eTable 1 in the Supplement.
Table 1. Classification of Articles by Healthy People 2020 Social Determinants of Health Domainsa.
Source | Health and health careb | Social and community contextb | Neighborhood and the built environmentb |
---|---|---|---|
Atherly et al,20 2009c | X | ||
Horner and Brown,21 2014c | X | ||
Riera et al,22 2015d | X | ||
Robinson et al,23 2008c | X | ||
Tapp et al,24 2017c | X | ||
Zorc et al,25 2009c | X | ||
Bollinger et al,26 2010d | X | ||
Celano et al,27 2012c | X | ||
Eakin et al,28 2012d | X | ||
McQuaid et al,29 2012d | X | ||
Halterman et al,30 2018d | X | ||
Magzamen et al,31 2008d | X | ||
Butz et al,32 2019d | X | ||
Colton et al,33 2015c | X | ||
Matsui et al,34 2017d | X | ||
Coughey et al,35 2010c | X | X | |
Findley et al,36 2011c | X | X | |
Fisher et al,37 2009c | X | X | |
Flores et al,38 2009c | X | X | |
Otsuki et al,39 2009c | X | X | |
Gruber et al,40 2016d | X | X | |
Kennedy et al,41 2017c | X | X | |
Largo et al,42 2011c | X | X | |
Mankikar et al,43 2016d | X | X | |
McClure et al,44 2017c | X | X | |
Sweet et al,45 2014d | X | X | |
Turcotte et al,46 2014d | X | X | |
Shuler et al,47 2015d | X | X | |
Bryant-Stephens et al,48 2008d | X | X | X |
Butz et al,49 2011d | X | X | X |
Campbell et al,50 2015d | X | X | X |
Janevic et al,51 2016d | X | X | X |
Lara et al,52 2013c | X | X | X |
Leibel et al,53 2020d | X | X | X |
Rapp et al,54 2018c | X | X | X |
Shani et al,55 2015d | X | X | X |
Turyk et al,56 2013c | X | X | X |
Woods et al,57 2016c | X | X | X |
Abbreviation: X, domain addressed by the study.
Two social determinants of health domains, economic stability and education, were not addressed by the included studies.
Social risks addressed in each social determinants of health domain include access to primary care, access to health care, and health literacy (health and health care); social cohesion (social and community context); environmental conditions and housing quality (neighborhood and the built environment).10
Articles included in the systematic review and meta-analysis.
Articles included in systematic review only.
Table 2. Intervention Descriptions by Social Determinants of Health Intervention Cluster.
Source | Intervention description |
---|---|
Health | |
Atherly et al,20 2009 | 3 Education sessions focused on asthma medications and pathophysiology; how to improve asthma control; constructive coping strategies and communication skills |
Horner and Brown,21 2014 | 16 Education sessions: in part A, children reviewed self-efficacy skills for inhaler technique, coping, problem-solving skills with symptoms; in part B, parents received Home Asthma booklet and had 1 home visit to review individualized education and AAP |
Riera et al,22 2014 | 1 Education fair with stations reviewing (1) medication, (2) peak flow, and (3) action plan |
Robinson et al,23 2008 | Weekly 3-h literacy and asthma education session with refresher courses every 4-6 wk over 6 mo; opportunity to attend 5-d asthma camp |
Tapp et al,24 2017 | Minimum 1 shared decision visit during which asthma education and parent perception of asthma control was reviewed and goals of care and treatment plan were negotiated |
Zorc et al,25 2009 | 1-Time viewing of asthma education video in ED; letter about child’s asthma sent from ED to PCP |
Bollinger et al,26 2010 | Mobile asthma clinic providing medical care and education every 4-12 wk based on child’s asthma severity |
Celano et al,27 2012 | 4-6 Home visits during 4 mo that included an asthma counselor, respiratory therapist, and psychology fellow to review asthma triggers, control, resources, MDI technique, and family identified goals |
Eakin et al,28 2011 | 3 Intervention groups: mobile asthma clinic (medical care and asthma education) or facilitated asthma communication intervention (home visit with asthma educator and review of how to communicate with PCP) |
McQuaid et al,29 2012 | 3 Home visits reviewing smoking cessation counseling and asthma education (medication and inhaler use; triggers and avoidance; and symptoms and control) |
Halterman et al,30 2018 | 3 School-based telemedicine visits for asthma care throughout 1 school year in addition to directly observed therapy for preventative asthma medications |
Magzamen et al,31 2008 | 4 Weekly 50-min school-based asthma education sessions (asthma basics, triggers, medications, and problem solving) provided by an asthma nurse for 1 mo |
Environment | |
Butz et al,32 2019 | 3 Visits (2 home) providing environmental remediation based on the child’s allergen sensitization results; if applicable, brief motivational interview to implement a total home smoking ban |
Colton et al,33 2015 | Natural intervention arose when Boston Housing Authority reconfigured half of public housing as green housing |
Matsui et al,34 2017 | Integrated pest management provided in 2 visits 1-2 wk apart with reassessment every 3 mo |
Health and community | |
Coughey et al,35 2010 |
|
Findley et al,36 2010 |
|
Fisher et al,37 2009 |
|
Flores et al,38 2009 |
|
Otsuki et al,39 2009 |
|
Health and environment | |
Gruber et al,40 2016 |
|
Kennedy et al,41 2017 |
|
Largo et al,42 2011 |
|
Mankikar et al,43 2016 |
|
McClure et al,44 2017 |
|
Sweet et al,45 2014 |
|
Turcotte et al,46 2014 |
|
Shuler et al,47 2015 |
|
Health, environment, and community | |
Bryant-Stephens et al,48 2008 |
|
Butz et al,49 2011 |
|
Campbell et al,50 2015 |
|
Janevic et al,51 2016 |
|
Lara et al,52 2013 |
|
Leibel et al,53 2020 |
|
Rapp et al,54 2018 |
|
Shani et al,55 2015 |
|
Turyk et al,56 2013 |
|
Woods et al,57 2016 |
|
Abbreviations: AAP, asthma action plan; CHWs, community health workers; ED, emergency department; HEPA, high-efficiency particulate air; MDI, metered-dose inhaler; PCP, primary care physician; SHS, secondhand smoke.
This multisite intervention implemented in 4 institutions had some variation across sites with respect to number of home visits, use of telephone follow-up, and inclusion of AAP review and goal setting in visits.
SDOH Intervention Clusters
Five intervention clusters were identified (Table 1). Twelve studies addressed health only. Seven studies addressed health literacy through asthma education provided to children or their caregivers20,21,22,23,24,25,31; 4 studies incorporated health literacy with access to care by delivering asthma education or asthma care in the child’s home,26,27,28,29 and 1 study implemented school-based telemedicine visits for asthma care.30 Three interventions addressed only environment. Two studies incorporated home remediation,32,34 and 1 study examined living in green vs traditional public housing.33 Eight studies addressed health and environment by combining asthma education and home remediation.40,41,42,43,44,45,46,47 Five studies addressed health and community by incorporating asthma education and peer support in the child’s home or community or by telephone-based care coordination.35,36,37,38,39 Ten interventions addressed health, environment, and community through a combination of asthma education, home environmental assessment or remediation, and community health workers.48,49,50,51,52,53,54,55,56,57
Assessment of the Quality of Study Methods
Studies included in the systematic review and meta-analysis were assessed for study quality (eTable 2 in the Supplement). All studies provided clear rationales for their intervention and outcomes. A total of 36 studies provided a replicable intervention description. Most studies used before and after intervention (n = 18) and randomized group (n = 14) designs. The remainder of the studies used a cohort with a nonrandomized or historic control design (n = 5). All studies met the minimum quality standards in 4 of 6 domains.
Social Risk Interventions and Risk of Utilization
A total of 19 studies provided data for the meta-analysis. The overall RR for ED visits following a social risk–based intervention was 0.68 (95% CI, 0.57-0.81; I2 = 70%). The overall RR for hospitalizations was 0.50 (95% CI, 0.37-0.68; I2 = 69%). Figure 2 provides the data for the ED visit RRs, and Figure 3 gives the hospitalization RRs.
Figure 2. Risk of an Emergency Department Visit Following Participation in a Social Risk–Based Intervention.
Pooled risk ratios (RRs) with corresponding 95% CIs were the effect estimates (with random-effects models and inverse-variance analysis) for each outcome.
Figure 3. Risk of Hospitalization Following Participation in a Social Risk–Based Intervention.
Pooled risk ratios (RRs) with corresponding 95% CIs were the effect estimates (with random-effects models and inverse-variance analysis) for each outcome.
Subgroup Analyses by SDOH Intervention Cluster
The results for the subanalyses of ED visits and hospitalizations are given in eFigures 1 and 2 in the Supplement, respectively. Six studies provided outcome data for ED visits and hospitalizations for the health intervention cluster.20,21,23,24,25,27 For the environment intervention cluster subgroup analysis, only 1 study33 provided outcome data. Two studies42,44 in the health and environment intervention cluster provided outcome data for ED visits, and 3 studies41,42,44 included data for hospitalizations. These interventions incorporated asthma education and home environment remediation. This subgroup analysis tied with the health and environment and community intervention cluster in producing the lowest RR for hospitalizations (0.33; 95% CI, 0.21-0.50; I2 = 0%). In the health and community intervention cluster, 4 studies35,36,37,38 provided outcomes for ED visits, and 5 studies35,36,37,38,39 provided outcomes for hospitalizations. Health and environment and community were the only 3-domain intervention cluster. Interventions incorporated asthma education, home environment assessment or remediation, and community health workers. Four studies provided outcome data for ED visits and hospitalizations for this intervention cluster.52,54,56,57 This subgroup analysis produced the lowest RR for ED visits (0.53; 95% CI, 0.44-0.64; I2 = 50%) and tied with the health and environment intervention cluster for lowest RR for hospitalizations (0.33; 95% CI, 0.20-0.55; I2 = 71%).
Sensitivity Analyses
When outlier studies for ED visits37,57 and hospitalizations38,57 were removed, the significance of the overall and subgroup effect estimates did not change, but heterogeneity was substantially reduced. All studies met minimum quality threshold. No additional sensitivity analyses were completed.
Discussion
This meta-analysis, to the best of our knowledge, is the first to leverage the HP 2020 SDOH framework to synthesize existing literature and quantify the association of social risk–based interventions with asthma-related health care utilization among children. Our results support the core vision of an overarching HP goal, which is rooted in improving a child’s living conditions to facilitate improved health.17 The findings of this meta-analysis support 4 HP 2030 SDOH objectives focused on reducing ED visits and hospitalizations among children with asthma.17 The present study takes an important step by highlighting the value of addressing individual-level social risks while, in parallel, the pediatric community advocates for policies to address population-level SDOH.
Our review showed that asthma interventions addressing social risks were associated with reduced ED visits and hospitalizations. We found that existing asthma interventions addressed social risks in only 3 of 5 HP 2020 SDOH domains (health, community, and environment). No interventions addressed risks in the economy or education domains. In our subgroup analyses, the health, environment, and community intervention cluster was associated with the greatest reduction in ED visits. These interventions combined place-based asthma education delivery, home environment remediation, and peer support. For hospitalizations, the health and environment intervention cluster (eg, only asthma education and environmental remediation) provided an RR equal to that of the health, environment, and community intervention cluster. This finding suggests that the added benefit of community, through the implementation of peer support with community health workers or health coaches, may have a greater association with reduced ED visits compared with hospitalizations. The health and community intervention cluster that did not incorporate environment was associated with the least reductions in both ED visits and hospitalizations. This finding supports our interpretation that health (asthma education) and environment (environmental remediation) are the 2 most integral components associated with effective social risk–based asthma interventions.
Current asthma guidelines from the National Heart, Lung, and Blood Institute58 and the Global Initiative for Asthma59 do not yet advocate for widespread implementation of social risk screening nor social risk–based interventions and policies addressing SDOH. Although SDOH account for up to 55% of all health outcomes,1 asthma care guidelines only highlight the importance of education and environment in asthma management. Reviews have started to examine pediatric asthma using an SDOH lens.11,12 Another systematic review provided an extensive classification of interventions addressing SDOH among children and adults across a spectrum of disease.60 Our meta-analysis is the first, to our knowledge, to synthesize the association of interventions addressing social risks with pediatric asthma-related health care utilization. We found that interventions responding to social risks from multiple SDOH domains were associated with the greatest reduction in ED visits and hospitalizations. These data support the call to use cross-sector collaboration to reduce asthma-related health disparities among children.11 The effectiveness of multidomain interventions found in this review supports existing research that multicomponent interventions with community partnership are associated with improved pediatric health care utilization.61 Of particular relevance to the global COVID-19 pandemic and its effects on pediatric health care, our review highlighted innovative methods that may be implemented broadly to increase children’s health care access (health domain) with telephone-based approaches.30,35 We suggest that assessing families’ social risks and connecting them to programs to address health (increasing asthma-specific health literacy and access to care), environment (remediating home environments), and community (providing peer support) be incorporated into current asthma care guidelines. A tiered approach may be used to first focus on children with uncontrolled or moderate to severe asthma, similar to approaches used by studies examined in this review.27,32,40,41,50,52,53
The absence of asthma-specific interventions that address economy and education in this review highlight future opportunities and directions. Food insecurity is 1 component of the economy domain. One noninterventional study used administrative data to show that receipt of increased Supplemental Nutrition Assistance Program benefits was associated with decreased likelihood of asthma-related ED visits among children.62 Two additional pediatric studies, not asthma specific, examined food insecurity interventions.63,64 The first study found that providing meals in an ED-based Summer Food Service Program was not negatively associated with care delivery and that most caregivers supported the program.63 The second study addressed food insecurity among infants by providing formula, education, and coordination with community resources.64 Infants in the intervention group were more likely to be connected with resources and to be up to date with preventative services.64 Of notable importance for children with chronic illnesses, such as asthma, there is a growing body of evidence that addressing food insecurity is associated with improved health outcomes among adults with chronic conditions.4 Housing instability is another component of the economy domain. One retrospective study examined the association of a 1990s housing policy program with hospital use by the general population.65 Children whose families received a housing voucher had decreased hospitalizations compared with those who did not receive a voucher.65
One component of the education domain is early childhood education. A non–asthma-specific randomized clinical trial of children found that children who received high-quality education between 0 and 5 years in addition to nutrition and health care during the study period had decreased cardiac and metabolic risk factors in adulthood.66 As individual-level interventions and community-wide policies are developed to address economy and education, it is imperative to also evaluate their association with health care utilization outcomes among children.
Limitations
This study has limitations. First, study quality was suboptimal owing to frequent use of before intervention vs after intervention designs and cohort study designs. Most interventions were multicomponent and community based. It may be that studies prioritized having as many children as possible receive the intervention. In future research, it will be important to balance this priority with optimal methodologic rigor to ensure that associations of outcomes with interventions are clearly shown. Second, many included articles were identified from reference lists of included full-text articles. The evolving focus on SDOH research may have limited the utility of the terms used in the initial search. Third, 16 studies for which data were not provided on request were excluded from the meta-analysis. Fourth, in our meta-analysis, there was large study heterogeneity. This was expected and reflects the varied nature of social risk–based interventions. Similarly, these types of interventions will need to be patient centered to be acceptable and will vary when implemented across different communities.
Conclusions
The field of pediatric asthma interventions targeting social risks is varied and evolving. The present systematic review and meta-analysis found that interventions focusing on health, environment, and community were associated with the greatest reduction in asthma-related ED visits and hospitalizations among children. Based on the findings of this meta-analysis, referring families to programs addressing social risks may be a crucial aspect of pediatric asthma care to improve health outcomes. This would be an individual-level solution while the pediatric community simultaneously advocates for implementation of policies addressing these SDOH domains at the community level.
eAppendix. Search Strategy
eTable 1. Study Characteristics by Social Determinant of Health Intervention Cluster
eTable 2. Assessment for Study Quality
eFigure 1. Subgroup Analysis of Risk of an Emergency Department Visit Following Participation in a Social Risk–Based Intervention
eFigure 2. Subgroup Analysis of Risk of Hospitalization Following Participation in a Social Risk–Based Intervention
References
- 1.World Health Organization. Social determinants of health. Accessed March 10, 2021. https://www.who.int/health-topics/social-determinants-of-health#tab=tab_1
- 2.Green K, Zook M. When talking about social determinants, precision matters. Health Affairs blog. Posted October 29, 2019. Accessed March 10, 2021. https://www.healthaffairs.org/do/10.1377/hblog20191025.776011/full/
- 3.Castrucci BC, Auerbach J. Meeting individual social needs falls short of addressing social determinants of health. Health Affairs blog. Posted January 16, Published 2019. Accessed March 10, 2021. https://www.healthaffairs.org/do/10.1377/hblog20190115.234942/full/
- 4.Berkowitz SA, Terranova J, Hill C, et al. Meal delivery programs reduce the use of costly health care in dually eligible medicare and medicaid beneficiaries. Health Aff (Millwood). 2018;37(4):535-542. doi: 10.1377/hlthaff.2017.0999 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.American Hospital Association. Case study: University of Illinois Hospital & Health Sciences system’s Better Health Through Housing Program. Published March 6, 2018. Accessed March 10, 2021. https://www.aha.org/news/insights-and-analysis/2018-03-06-case-study-university-illinois-hospital-health-sciences
- 6.Centers for Disease Control and Prevention. Most recent national asthma data. Accessed October 21, 2020. https://www.cdc.gov/asthma/most_recent_national_asthma_data.htm
- 7.Eldeirawi K, Kunzweiler C, Rosenberg N, et al. Association of neighborhood crime with asthma and asthma morbidity among Mexican American children in Chicago, Illinois. Ann Allergy Asthma Immunol. 2016;117(5):502-507. doi: 10.1016/j.anai.2016.09.429 [DOI] [PubMed] [Google Scholar]
- 8.Beck AF, Huang B, Wheeler K, Lawson NR, Kahn RS, Riley CL. The Child Opportunity Index and disparities in pediatric asthma hospitalizations across one Ohio metropolitan area, 2011-2013. J Pediatr. 2017;190:200-206.e1. doi: 10.1016/j.jpeds.2017.08.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Nkoy FL, Stone BL, Knighton AJ, et al. Neighborhood deprivation and childhood asthma outcomes, accounting for insurance coverage. Hosp Pediatr. 2018;8(2):59-67. doi: 10.1542/hpeds.2017-0032 [DOI] [PubMed] [Google Scholar]
- 10.Department of Health and Human Services: Office of Disease Prevention and Health Promotion: Healthy People 2020: Health.gov. Social determinants of health. Published 2020. Accessed March 30, 2020. https://www.healthypeople.gov/2020/topics-objectives/topic/social-determinants-of-health
- 11.Stempel H, Federico MJ, Szefler SJ. Applying a biopsychosocial model to inner city asthma: recent approaches to address pediatric asthma health disparities. Paediatr Respir Rev. 2019;32(32):10-15. doi: 10.1016/j.prrv.2019.07.001 [DOI] [PubMed] [Google Scholar]
- 12.Sullivan K, Thakur N. Structural and social determinants of health in asthma in developed economies: a scoping review of literature published between 2014 and 2019. Curr Allergy Asthma Rep. 2020;20(2):5. doi: 10.1007/s11882-020-0899-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.COUNCIL ON COMMUNITY PEDIATRICS . Poverty and child health in the United States. Pediatrics. 2016;137(4):e20160339. doi: 10.1542/peds.2016-0339 [DOI] [PubMed] [Google Scholar]
- 14.Covidence. Better systematic review management. Accessed October 19, 2021. https://www.covidence.org
- 15.Parikh K, Keller S, Ralston S. Inpatient quality improvement interventions for asthma: a meta-analysis. Pediatrics. 2018;141(5):e20173334. doi: 10.1542/peds.2017-3334 [DOI] [PubMed] [Google Scholar]
- 16.Agency for Healthcare Research and Quality. Statistical Brief #195: trends in potentially preventable inpatient hospital admissions and emergency department visits. Published November 2015. Accessed August 24, 2021. https://www.hcup-us.ahrq.gov/reports/statbriefs/sb195-Potentially-Preventable-Hospitalizations.jsp [PubMed]
- 17.Department of Health and Human Services: Office of Disease Prevention and Health Promotion: Healthy People 2030. Health.gov. Social determinants of health. Accessed January 29, 2021. https://health.gov/healthypeople/objectives-and-data/social-determinants-health
- 18.Cochrane. Review Manager (RevMan) version 5.4. The Cochrane Collaborative; 2020.
- 19.House SA, Gadomski AM, Ralston SL. Evaluating the placebo status of nebulized normal saline in patients with acute viral bronchiolitis: a systematic review and meta-analysis. JAMA Pediatr. 2020;174(3):250-259. doi: 10.1001/jamapediatrics.2019.5195 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Atherly A, Nurmagambetov T, Williams S, Griffith M. An economic evaluation of the school-based “power breathing” asthma program. J Asthma. 2009;46(6):596-599. doi: 10.1080/02770900903006257 [DOI] [PubMed] [Google Scholar]
- 21.Horner SD, Brown A. Evaluating the effect of an asthma self-management intervention for rural families. J Asthma. 2014;51(2):168-177. doi: 10.3109/02770903.2013.855785 [DOI] [PubMed] [Google Scholar]
- 22.Riera A, Ocasio A, Goncalves P, et al. Findings from a community-based asthma education fair for Latino caregivers. J Asthma. 2015;52(1):71-80. doi: 10.3109/02770903.2014.944982 [DOI] [PubMed] [Google Scholar]
- 23.Robinson LD Jr, Calmes DP, Bazargan M. The impact of literacy enhancement on asthma-related outcomes among underserved children. J Natl Med Assoc. 2008;100(8):892-896. doi: 10.1016/S0027-9684(15)31401-2 [DOI] [PubMed] [Google Scholar]
- 24.Tapp H, Shade L, Mahabaleshwarkar R, Taylor YJ, Ludden T, Dulin MF. Results from a pragmatic prospective cohort study: shared decision making improves outcomes for children with asthma. J Asthma. 2017;54(4):392-402. doi: 10.1080/02770903.2016.1227333 [DOI] [PubMed] [Google Scholar]
- 25.Zorc JJ, Chew A, Allen JL, Shaw K. Beliefs and barriers to follow-up after an emergency department asthma visit: a randomized trial. Pediatrics. 2009;124(4):1135-1142. doi: 10.1542/peds.2008-3352 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Bollinger ME, Morphew T, Mullins CD. The Breathmobile program: a good investment for underserved children with asthma. Ann Allergy Asthma Immunol. 2010;105(4):274-281. doi: 10.1016/j.anai.2010.07.012 [DOI] [PubMed] [Google Scholar]
- 27.Celano MP, Holsey CN, Kobrynski LJ. Home-based family intervention for low-income children with asthma: a randomized controlled pilot study. J Fam Psychol. 2012;26(2):171-178. doi: 10.1037/a0027218 [DOI] [PubMed] [Google Scholar]
- 28.Eakin MN, Rand CS, Bilderback A, et al. Asthma in Head Start children: effects of the Breathmobile program and family communication on asthma outcomes. J Allergy Clin Immunol. 2012;129(3):664-670. doi: 10.1016/j.jaci.2011.10.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.McQuaid EL, Garro A, Seifer R, Hammond SK, Borrelli B. Integrating asthma education and smoking cessation for parents: financial return on investment. Pediatr Pulmonol. 2012;47(10):950-955. doi: 10.1002/ppul.22559 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Halterman JS, Fagnano M, Tajon RS, et al. Effect of the School-Based Telemedicine Enhanced Asthma Management (SB-TEAM) program on asthma morbidity: a randomized clinical trial. JAMA Pediatr. 2018;172(3):e174938. doi: 10.1001/jamapediatrics.2017.4938 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Magzamen S, Patel B, Davis A, Edelstein J, Tager IB. Kickin’ Asthma: school-based asthma education in an urban community. J Sch Health. 2008;78(12):655-665. doi: 10.1111/j.1746-1561.2008.00362.x [DOI] [PubMed] [Google Scholar]
- 32.Butz AM, Bollinger ME, Ogborn J, et al. Children with poorly controlled asthma: randomized controlled trial of a home-based environmental control intervention. Pediatr Pulmonol. 2019;54(3):245-256. doi: 10.1002/ppul.24239 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Colton MD, Laurent JGC, MacNaughton P, et al. Health benefits of green public housing: associations with asthma morbidity and building-related symptoms. Am J Public Health. 2015;105(12):2482-2489. doi: 10.2105/AJPH.2015.302793 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Matsui EC, Perzanowski M, Peng RD, et al. Effect of an integrated pest management intervention on asthma symptoms among mouse-sensitized children and adolescents with asthma: a randomized clinical trial. JAMA. 2017;317(10):1027-1036. doi: 10.1001/jama.2016.21048 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Coughey K, Klein G, West C, et al. The Child Asthma Link Line: a coalition-initiated, telephone-based, care coordination intervention for childhood asthma. J Asthma. 2010;47(3):303-309. doi: 10.3109/02770900903580835 [DOI] [PubMed] [Google Scholar]
- 36.Findley SE, Thomas G, Madera-Reese R, et al. A community-based strategy for improving asthma management and outcomes for preschoolers. J Urban Health. 2011;88(suppl 1):85-99. doi: 10.1007/s11524-010-9479-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Fisher EB, Strunk RC, Highstein GR, et al. A randomized controlled evaluation of the effect of community health workers on hospitalization for asthma: the asthma coach. Arch Pediatr Adolesc Med. 2009;163(3):225-232. doi: 10.1001/archpediatrics.2008.577 [DOI] [PubMed] [Google Scholar]
- 38.Flores G, Bridon C, Torres S, et al. Improving asthma outcomes in minority children: a randomized, controlled trial of parent mentors. Pediatrics. 2009;124(6):1522-1532. doi: 10.1542/peds.2009-0230 [DOI] [PubMed] [Google Scholar]
- 39.Otsuki M, Eakin MN, Rand CS, et al. Adherence feedback to improve asthma outcomes among inner-city children: a randomized trial. Pediatrics. 2009;124(6):1513-1521. doi: 10.1542/peds.2008-2961 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Gruber KJ, McKee-Huger B, Richard A, Byerly B, Raczkowski JL, Wall TC. Removing asthma triggers and improving children’s health: the Asthma Partnership Demonstration project. Ann Allergy Asthma Immunol. 2016;116(5):408-414. doi: 10.1016/j.anai.2016.03.025 [DOI] [PubMed] [Google Scholar]
- 41.Kennedy S, Bailey R, Jaffee K, et al. Effectiveness of evidence-based asthma interventions. Pediatrics. 2017;139(6):20164221. doi: 10.1542/peds.2016-4221 [DOI] [PubMed] [Google Scholar]
- 42.Largo TW, Borgialli M, Wisinski CL, Wahl RL, Priem WF. Healthy Homes University: a home-based environmental intervention and education program for families with pediatric asthma in Michigan. Public Health Rep. 2011;126(suppl 1):14-26. doi: 10.1177/00333549111260S104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Mankikar D, Campbell C, Greenberg R. Evaluation of a home-based environmental and educational intervention to improve health in vulnerable households: Southeastern Pennsylvania Lead and Healthy Homes Program. Int J Environ Res Public Health. 2016;13(9):900. doi: 10.3390/ijerph13090900 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.McClure N, Lutenbacher M, O’Kelley E, Dietrich MS. Enhancing pediatric asthma care and nursing education through an academic practice partnership. J Pediatr Nurs. 2017;36:64-69. doi: 10.1016/j.pedn.2017.04.008 [DOI] [PubMed] [Google Scholar]
- 45.Sweet LL, Polivka BJ, Chaudry RV, Bouton P. The impact of an urban home-based intervention program on asthma outcomes in children. Public Health Nurs. 2014;31(3):243-252. doi: 10.1111/phn.12071 [DOI] [PubMed] [Google Scholar]
- 46.Turcotte DA, Alker H, Chaves E, Gore R, Woskie S. Healthy homes: in-home environmental asthma intervention in a diverse urban community. Am J Public Health. 2014;104(4):665-671. doi: 10.2105/AJPH.2013.301695 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Shuler MS, Yeatts KB, Russell DW, Trees AS, Sutherland SE. The Regional Asthma Disease Management Program (RADMP) for low income underserved children in rural western North Carolina: a National Asthma Control Initiative Demonstration Project. J Asthma. 2015;52(9):881-888. doi: 10.3109/02770903.2015.1008140 [DOI] [PubMed] [Google Scholar]
- 48.Bryant-Stephens T, Li Y. Outcomes of a home-based environmental remediation for urban children with asthma. J Natl Med Assoc. 2008;100(3):306-316. doi: 10.1016/S0027-9684(15)31243-8 [DOI] [PubMed] [Google Scholar]
- 49.Butz AM, Matsui EC, Breysse P, et al. A randomized trial of air cleaners and a health coach to improve indoor air quality for inner-city children with asthma and secondhand smoke exposure. Arch Pediatr Adolesc Med. 2011;165(8):741-748. doi: 10.1001/archpediatrics.2011.111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Campbell JD, Brooks M, Hosokawa P, Robinson J, Song L, Krieger J. Community health worker home visits for Medicaid-enrolled children with asthma: effects on asthma outcomes and costs. Am J Public Health. 2015;105(11):2366-2372. doi: 10.2105/AJPH.2015.302685 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Janevic MR, Stoll S, Wilkin M, et al. Pediatric asthma care coordination in underserved communities: a quasiexperimental study. Am J Public Health. 2016;106(11):2012-2018. doi: 10.2105/AJPH.2016.303373 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Lara M, Ramos-Valencia G, González-Gavillán JA, et al. Reducing quality-of-care disparities in childhood asthma: La Red de Asma Infantil intervention in San Juan, Puerto Rico. Pediatrics. 2013;131(suppl 1):S26-S37. doi: 10.1542/peds.2012-1427d [DOI] [PubMed] [Google Scholar]
- 53.Leibel S, Geng B, Phipatanakul W, Lee E, Hartigan P. Screening social determinants of health in a multidisciplinary severe asthma clinical program. Pediatr Qual Saf. 2020;5(5):e360. doi: 10.1097/pq9.0000000000000360 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Rapp KI, Jack L Jr, Wilson C, et al. Improving asthma-related outcomes among children participating in the Head-Off Environmental Asthma in Louisiana (HEAL), phase II study. Health Promot Pract. 2018;19(2):233-239. doi: 10.1177/1524839917740126 [DOI] [PubMed] [Google Scholar]
- 55.Shani Z, Scott RG, Schofield LS, et al. Effect of a home intervention program on pediatric asthma in an environmental justice community. Health Promot Pract. 2015;16(2):291-298. doi: 10.1177/1524839914529593 [DOI] [PubMed] [Google Scholar]
- 56.Turyk M, Banda E, Chisum G, et al. A multifaceted community-based asthma intervention in Chicago: effects of trigger reduction and self-management education on asthma morbidity. J Asthma. 2013;50(7):729-736. doi: 10.3109/02770903.2013.796971 [DOI] [PubMed] [Google Scholar]
- 57.Woods ER, Bhaumik U, Sommer SJ, et al. Community asthma initiative to improve health outcomes and reduce disparities among children with asthma. MMWR Suppl. 2016;65(1):11-20. doi: 10.15585/mmwr.su6501a4 [DOI] [PubMed] [Google Scholar]
- 58.National Institute of Health: National Heart, Lung, and Blood Institute. Guidelines for the diagnosis and management of asthma 2007 (EPR-3). Published September 2012. Accessed October 20, 2020. https://www.nhlbi.nih.gov/health-topics/guidelines-for-diagnosis-management-of-asthma
- 59.Global Initiative for Asthma . Global strategy for asthma management and prevention. Updated 2020. Accessed October 20, 2020. https://ginasthma.org/wp-content/uploads/2020/04/GINA-2020-full-report_-final-_wms.pdf
- 60.Gottlieb LM, Wing H, Adler NE. A systematic review of interventions on patients’ social and economic needs. Am J Prev Med. 2017;53(5):719-729. doi: 10.1016/j.amepre.2017.05.011 [DOI] [PubMed] [Google Scholar]
- 61.Beck AF, Anderson KL, Rich K, et al. Cooling the hot spots where child hospitalization rates are high: a neighborhood approach to population health. Health Aff (Millwood). 2019;38(9):1433-1441. doi: 10.1377/hlthaff.2018.05496 [DOI] [PubMed] [Google Scholar]
- 62.Heflin C, Arteaga I, Hodges L, Ndashiyme JF, Rabbitt MP. SNAP benefits and childhood asthma. Soc Sci Med. 2019;220:203-211. doi: 10.1016/j.socscimed.2018.11.001 [DOI] [PubMed] [Google Scholar]
- 63.Cullen D, Blauch A, Mirth M, Fein J. Complete EATS: summer meals offered by the emergency department for food insecurity. Pediatrics. 2019;144(4):e20190201. doi: 10.1542/peds.2019-0201 [DOI] [PubMed] [Google Scholar]
- 64.Beck AF, Henize AW, Kahn RS, Reiber KL, Young JJ, Klein MD. Forging a pediatric primary care-community partnership to support food-insecure families. Pediatrics. 2014;134(2):e564-e571. doi: 10.1542/peds.2013-3845 [DOI] [PubMed] [Google Scholar]
- 65.Pollack CE, Blackford AL, Du S, Deluca S, Thornton RLJ, Herring B. Association of receipt of a housing voucher with subsequent hospital utilization and spending. JAMA. 2019;322(21):2115-2124. doi: 10.1001/jama.2019.17432 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Campbell F, Conti G, Heckman JJ, et al. Early childhood investments substantially boost adult health. Science. 2014;343(6178):1478-1485. doi: 10.1126/science.1248429 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
eAppendix. Search Strategy
eTable 1. Study Characteristics by Social Determinant of Health Intervention Cluster
eTable 2. Assessment for Study Quality
eFigure 1. Subgroup Analysis of Risk of an Emergency Department Visit Following Participation in a Social Risk–Based Intervention
eFigure 2. Subgroup Analysis of Risk of Hospitalization Following Participation in a Social Risk–Based Intervention