Hospital readmissions for childhood asthma: the role of individual and neighborhood factors

Seasonal variations and social disparities in asthma hospitalizations and outcomes

OBJECTIVE

Exposure to asthma exacerbating triggers may be dependent on the season and an individual's social factors and subsequent means to avoid triggers. We assessed for seasonal variations and differential outcomes based on race and income in admissions for asthma in a United States nationwide assessment.

METHODS

This retrospective study assessed adult hospitalizations for asthma 2016-2019 using the National Inpatient Sample. Hospitalizations were categorized by season: winter (December-February), spring (March-May), summer (June-August), fall (September-November). Multivariable linear and logistic regression were used to assess associations between season, race, income quartile (determined by the median income within a patient's ZIP code), and outcomes.

RESULTS

The study included 423,140 admissions with a mean age of 51 years, and 73% of the cohort being female and 56% non-white. Admissions peaked during winter (124, 145) and were lowest in summer (80,525). Intubation rates were increased in summer compared to winter (2.73 vs 1.93%, aOR = 1.19, 95% CI: 1.04-1.37) as were rates of noninvasive positive pressure ventilation (NIPPV) (7.92 vs 7.06%, aOR = 1.08, 95% CI: 1.00-1.17). Compared to white patients, intubation (2.53 vs 1.87%, absolute difference 0.66%, aOR = 1.14, 95% CI: 1.02-1.29) and NIPPV (9.95 vs 5.45%, absolute difference 4.5%, aOR = 1.69, 95% CI: 1.57-1.82) were increased in Black patients. No significant associations between income and clinical outcomes were found.

CONCLUSIONS

Asthma admission peak during winter, while summer admissions and non-white race are associated with higher rates of NIPPV and intubation. Public health initiatives and strategically timed outpatient visits could combat seasonal variation and social disparities in asthma outcomes.

A state-level analysis of macro-level factors associated with hospital readmissions

Investigation of the factors that contribute to hospital readmissions has focused largely on individual level factors. We extend the knowledge base by exploring macrolevel factors that may contribute to readmissions. We point to environmental, behavioral, and socioeconomic factors that are emerging as correlates to readmissions. Data were taken from publicly available reports provided by multiple agencies. Partial Least Squares-Structural Equation Modeling was used to test the association between economic stability and environmental factors on opioid use which was in turn tested for a direct association with hospital readmissions. We also tested whether hospital access as measured by the proportion of people per hospital moderates the relationship between opioid use and hospital readmissions. We found significant associations between Negative Economic Factors and Opioid Use, between Environmental Factors and Opioid Use, and between Opioid Use and Hospital Readmissions. We found that Hospital Access positively moderates the relationship between Opioid Use and Readmissions. A priori assumptions about factors that influence hospital readmissions must extend beyond just individualistic factors and must incorporate a holistic approach that also considers the impact of macrolevel environmental factors.

Childhood asthma in the Bronx, NY; the impact of pollutants on length of hospital stay

OBJECTIVE

The length of hospital stay (LOS) is a proxy of asthma exacerbation severity and healthcare cost. The study aims to estimate the effect of ambient air pollution on pediatric asthma LOS in the Bronx, NY.

METHODS

A total of 1,920 children admitted to the hospital in Bronx, NY due to asthma during 2017-2019 period were included in the study. Demographic and clinical parameters were obtained from medical records. Daily ozone (O3) and fine particulate matter (PM2.5) measurements were obtained from local air quality networks. Poisson regression adjusting for gender, age, weight status, respiratory infections including influenza, and ambient temperature was applied to determine whether there was an association of air pollution with length of hospital stay.

RESULTS

The mean LOS varied by age, sex, weight status, influenza vaccination status, respiratory viral panel (RVP) results, asthma controller use, and asthma classification. After controlling for these factors in Poisson regression, the mean LOS increased up to 10.62% (95%CI: 0.78-21.41; p = 0.03) for an increase of 10 μg/m3 of PM2.5 exposure on admission day, and 3.90% (95%CI = 0.06-7.88; p = 0.05) for an increase of 10 ppbv of O3 concentration during the previous day.

CONCLUSION

Ambient particulate and ozone pollution is associated with lengthier hospital stays for pediatric asthma, potentially indicating more severe asthma exacerbations.

Population-level SDOH and Pediatric Asthma Health Care Utilization: A Systematic Review

CONTEXT

Spatial analysis is a population health methodology that can determine geographic distributions of asthma outcomes and examine their relationship to place-based social determinants of health (SDOH).

OBJECTIVES

To systematically review US-based studies analyzing associations between SDOH and asthma health care utilization by geographic entities.

DATA SOURCES

Pubmed, Medline, Web of Science, Scopus, and Cumulative Index to Nursing and Allied Health Literature.

STUDY SELECTION

Empirical, observational US-based studies were included if (1) outcomes included asthma-related emergency department visits or revisits, and hospitalizations or rehospitalizations; (2) exposures were ≥1 SDOH described by the Healthy People (HP) SDOH framework; (3) analysis occurred at the population-level using a geographic entity (eg, census-tract); (4) results were reported separately for children ≤18 years.

DATA EXTRACTION

Two reviewers collected data on study information, demographics, geographic entities, SDOH exposures, and asthma outcomes. We used the HP SDOH framework's 5 domains to organize and synthesize study findings.

RESULTS

The initial search identified 815 studies; 40 met inclusion criteria. Zip-code tabulation areas (n = 16) and census-tracts (n = 9) were frequently used geographic entities. Ten SDOH were evaluated across all HP domains. Most studies (n = 37) found significant associations between ≥1 SDOH and asthma health care utilization. Poverty and environmental conditions were the most often studied SDOH. Eight SDOH-poverty, higher education enrollment, health care access, primary care access, discrimination, environmental conditions, housing quality, and crime - had consistent significant associations with asthma health care utilization.

CONCLUSIONS

Population-level SDOH are associated with asthma health care utilization when evaluated by geographic entities. Future work using similar methodology may improve this research's quality and utility.

Inhaled Corticosteroids Rarely Prescribed at Emergency Department Discharge Despite Low Rates of Follow-Up Care

BACKGROUND

Guidelines recommend an inhaled corticosteroid (ICS) prescription on emergency department (ED) discharge after acute asthma exacerbations.

OBJECTIVE

We sought to identify rates and predictors of ICS prescription at ED discharge. Secondary outcomes included ICS prescription rates in a high-risk subgroup, outpatient follow-up rates within 30 days, and variation in ICS prescriptions among attending emergency physicians.

METHODS

This was a retrospective cohort study of adult asthma ED discharges for acute asthma exacerbation across 5 urban academic hospitals. We used multivariable logistic regression to evaluate predictors of ICS prescription after adjusting for patient characteristics and hospital-level clustering.

RESULTS

Among 3948 adult ED visits, an ICS was prescribed in 6% (n = 238) of visits. Only 14% (n = 552) completed an outpatient visit within 30 days. Among patients with 2 or more ED visits in 12 months, the ICS prescription rate was 6.7%. ICS administration in the ED (odds ratio [OR] 9.91; 95% CI 7.99-12.28) and prescribing a β-agonist on discharge (OR 2.67; 95% CI 2.08-3.44) were associated with higher odds of ICS prescription. Decreased odds of ICS prescription were associated with Hispanic ethnicity (OR 0.71; 95% CI 0.51-0.99) relative to Black race, and private (OR 0.75; 95% CI 0.62-0.91) or no insurance (OR 0.54; 95% CI 0.35-0.84) relative to Medicaid. One-third (36%, n = 66) of ED attendings prescribed 0 ICS prescriptions during the study period.

CONCLUSIONS

An ICS is infrequently prescribed on ED asthma discharge, and most patients do not have an outpatient follow-up within 30 days. Future studies should examine the extent to which ED ICS prescriptions improve outcomes for patients with barriers to accessing primary care.

Factors associated with future hospitalization among children with asthma: a systematic review

OBJECTIVE

Asthma is a leading cause of emergency department (ED) visits and hospitalizations in children, though many could be prevented. Our study objective was to identify factors from the published literature that are associated with future hospitalization for asthma beyond 30 days following an initial asthma ED visit.

DATA SOURCES

We searched CINAHL, CENTRAL, MEDLINE, and Embase for all studies examining factors associated with asthma-related hospitalization in children from January 1, 1992 to February 7, 2022.Selecting Studies: All citations were reviewed independently by two reviewers and studies meeting inclusion criteria were assessed for risk of bias. Data on all reported variables were extracted from full text and categorized according to identified themes. Where possible, data were pooled for meta-analysis using random effects models.

RESULTS

Of 2262 studies, 68 met inclusion criteria. We identified 28 risk factors and categorized these into six themes. Factors independently associated with future hospitalization in meta-analysis include: exposure to environmental tobacco smoke (OR = 1.94 95%CI 0.67-5.61), pets exposure (OR = 1.67 95%CI 1.17-2.37), and previous asthma hospitalizations (OR = 3.47 95% CI 2.95-4.07). Additional related factors included previous acute care visits, comorbid health conditions (including atopy), allergen exposure, severe-persistent asthma phenotype, inhaled steroid use prior to ED visit, poor asthma control, higher severity symptoms at ED presentation, warmer season at admission, longer length of stay or ICU admission, and African-American race/ethnicity.

CONCLUSIONS

We identified multiple factors that are consistently associated with future asthma hospitalization in children and could be used to identify those who would benefit from targeted preventative interventions.

Area deprivation and respiratory morbidities in children with bronchopulmonary dysplasia

INTRODUCTION

Infants and children diagnosed with bronchopulmonary dysplasia (BPD) have a higher likelihood of recurrent hospitalizations and asthma-like symptoms. Socio-environmental factors that influence the frequency and severity of pulmonary symptoms in these children during the preschool age are poorly understood. In this study, we used the Area Deprivation Index (ADI) to evaluate the relationship between the socio-environmental exposures in children with BPD and respiratory outcomes during the first few years of life.

METHODS

A registry of subjects recruited from outpatient BPD clinics at Johns Hopkins University (n = 909) and the Children's Hospital of Philadelphia (n = 125) between January 2008 and October 2021 was used. Subjects were separated into tertiles by ADI scores aggregated to ZIP codes. Caregiver questionnaires were used to assess the frequency of respiratory morbidities and acute care usage for respiratory symptoms.

RESULTS

The mean gestational age of subjects was 26.8 ± 2.6 weeks with a mean birthweight of 909 ± 404 g. The highest tertile (most deprived) of ADI was significantly associated with emergency department visits (aOR 1.72; p = 0.009), hospital readmissions (aOR 1.66; p = 0.030), and activity limitations (aOR 1.55; p = 0.048) compared to the lowest tertile. No association was seen with steroid, antibiotic or rescue medication use, trouble breathing, or nighttime symptoms.

CONCLUSION

In this study, children with BPD who lived in areas of higher deprivation were more likely to be rehospitalized and have ED visits for respiratory reasons. Identifying socio-environmental factors that contribute to adverse pulmonary outcomes in children with BPD may provide opportunities for earlier interventions to improve long-term pulmonary outcomes.

Comparing Artificial Intelligence and Traditional Methods to Identify Factors Associated With Pediatric Asthma Readmission

OBJECTIVE

To identify and contrast risk factors for six-month pediatric asthma readmissions using traditional models (Cox proportional-hazards and logistic regression) and artificial neural-network modeling.

METHODS

This retrospective cohort study of the 2013 Nationwide Readmissions Database included children 5 to 18 years old with a primary diagnosis of asthma. The primary outcome was time to asthma readmission in the Cox model, and readmission within 180 days in logistic regression. A basic neural network construction with 2 hidden layers and multiple replications considered all dataset variables and potential variable interactions to predict 180-day readmissions. Logistic regression and neural-network models were compared on area-under-the receiver-operating curve.

RESULTS

Of 18,489 pediatric asthma hospitalizations, 1858 were readmitted within 180 days. In Cox and logistic models, longer index length of stay, public insurance, and nonwinter index admission seasons were associated with readmission risk, whereas micropolitan county was protective. In neural-network modeling, 9 factors were significantly associated with readmissions. Four overlapped with the Cox model (nonwinter-month admission, long length of stay, public insurance, and micropolitan hospitals), whereas 5 were unique (age, hospital bed number, teaching-hospital status, weekend index admission, and complex chronic conditions). The area under the curve was 0.592 for logistic regression and 0.637 for the neural network.

CONCLUSIONS

Different methods can produce different readmission models. Relying on traditional modeling alone overlooks key readmission risk factors and complex factor interactions identified by neural networks.

Multi-Dimensional Assessment and Interdisciplinary Care to Reduce Asthma Readmissions in Safety Net Hospitals

Asthma is a prevalent disease that disproportionately affects socioeconomically underprivileged minorities. In fact, racial and ethnic minorities such as Blacks and Latinos have higher rates of severe asthma, asthma-associated emergency department visits, hospitalizations, and readmissions compared with whites. Such disparities exist due to genetic predispositions and to socioeconomic determinants of health such as environmental factors and limited health-care access. A value-based purchasing program encourages hospitals to improve communication and care coordination to better engage patients and caregivers in discharge plans, and, in turn, reduce avoidable readmissions. The program supports the national goal of improving health care by linking payment to the quality of hospital care. Efforts have been made to address asthma-related complications in these populations, which have been addressed at various levels of the care system, including the patient and family, community, organization, provider/microsystem, and policy. Many of these programs promote patient education and health-care accessibility through interdisciplinary and multi-dimensional approaches, and have been shown to be effective in reducing asthma-associated readmissions and hospitalizations, but these localized approaches have not been largely adopted. The wide-spread implementation of asthma programs is necessary to address factors related to the increased incidence of asthma and associated rates of hospitalizations and readmissions in impoverished, minority populations.

Socioeconomic disparities in asthma health care utilization, exacerbations, and mortality: A systematic review and meta-analysis

BACKGROUND

Prior studies investigating the effect of socioeconomic status (SES) on asthma health care outcomes have been heterogeneous in the populations studied and methodologies used.

OBJECTIVE

We sought to systematically synthesize evidence investigating the impact of SES on asthma health care utilization, exacerbations, and mortality.

METHODS

We searched Embase, Medline, and Web of Science for studies reporting differences in primary care attendance, exacerbations, emergency department attendance, hospitalization, ventilation/intubation, readmission, and asthma mortality by SES. Study quality was assessed using the Newcastle Ottawa Scale, and meta-analyses were conducted using random-effects models. We conducted several prespecified subgroup analyses, including by health care system (insurance based vs universal government funded) and time period (before vs after 2010).

RESULTS

A total of 61 studies, comprising 1,145,704 patients, were included. Lower SES was consistently associated with increased secondary health care utilization including emergency department attendance (odds ratio [OR], 1.61; 95% confidence interval [CI], 1.40-1.84), hospitalization (OR, 1.63; 95% CI, 1.34-1.99), and readmission (OR, 1.31; 95% CI, 1.19-1.44). Substantial associations were also found between SES and ventilation/intubation (OR, 1.76; 95% CI, 1.13-2.73), although there was no association with primary care attendances (OR, 0.79; 95% CI, 0.51-1.24). We found evidence of borderline significance for increased exacerbations (OR, 1.18; 95% CI, 0.98-1.42) and mortality (OR, 1.12; 95% CI, 0.92-1.37) among more deprived groups. There was no convincing evidence that disparities were associated with country-level health care funding models or that disparities have narrowed over time.

CONCLUSIONS

Patients with a lower SES have substantially increased secondary care health care utilization. We found evidence suggestive of increased exacerbations and mortality risk, although CIs were wide. These disparities have been consistently reported worldwide, including within countries offering universally funded health care systems. Systematic review registration: CRD42020173544.

Risk Factors for Pediatric Asthma Readmissions: A Systematic Review

OBJECTIVE

To systematically review the literature on pediatric asthma readmission risk factors.

STUDY DESIGN

We searched PubMed/MEDLINE, CINAHL, Scopus, PsycINFO, and Cochrane Central Register of Controlled Trials for published articles (through November 2019) on pediatric asthma readmission risk factors. Two authors independently screened titles and abstracts and consensus was reached on disagreements. Full-text articles were reviewed and inclusion criteria applied. For articles meeting inclusion criteria, authors abstracted data on study design, patient characteristics, and outcomes, and 4 authors assessed bias risk.

RESULTS

Of 5749 abstracts, 74 met inclusion criteria. Study designs, patient populations, and outcome measures were highly heterogeneous. Risk factors consistently associated with early readmissions (≤30 days) included prolonged length of stay (OR range, 1.1-1.6) and chronic comorbidities (1.7-3.2). Risk factors associated with late readmissions (>30 days) included female sex (1.1-1.6), chronic comorbidities (1.5-2), summer discharge (1.5-1.8), and prolonged length of stay (1.04-1.7). Across both readmission intervals, prior asthma admission was the most consistent readmission predictor (1.3-5.4).

CONCLUSIONS

Pediatric asthma readmission risk factors depend on the readmission interval chosen. Prior hospitalization, length of stay, sex, and chronic comorbidities were consistently associated with both early and late readmissions.

TRIAL REGISTRATION

CRD42018107601.

Impact of a National Quality Collaborative on Pediatric Asthma Care Quality by Insurance Status

OBJECTIVE

To assess whether disparities in asthma care and outcomes based on insurance type existed before a national quality improvement (QI) collaborative, and to determine the effects of the collaborative on these disparities.

METHODS

Secondary analysis of data from Pathways for Improving Pediatric Asthma Care (PIPA), a national collaborative to standardize emergency department (ED) and inpatient asthma management. PIPA included children aged 2 to 17 with a diagnosis of asthma. Disparities were examined based on insurance status (public vs private). Outcomes included guideline adherence and health care utilization measures, assessed for 12 months before and 15 months after the start of PIPA.

RESULTS

We analyzed 19,204 ED visits and 11,119 hospitalizations from 89 sites. At baseline, children with public insurance were more likely than those with private insurance to receive early administration of corticosteroids (52.3% vs 48.9%, P= .01). However, they were more likely to be admitted (20.0% vs 19.4%, P = .01), have longer inpatient length of stay (31 vs 29 hours, P = .01), and have a readmission/ED revisit within 30 days (7.4% vs 5.6%, P = .02). We assessed the effects of PIPA on these disparities by insurance status and found no significant changes across 6 guideline adherence and 4 health care utilization measures.

CONCLUSION

At baseline, children with public insurance had higher asthma health care utilization than those with private insurance, despite receiving more evidence-based care. The PIPA collaborative did not affect pre-existing disparities in asthma outcomes. Future research should identify effective strategies for leveraging QI to better address disparities.

The association of area deprivation and state child health with respiratory outcomes of pediatric patients with cystic fibrosis in the United States

BACKGROUND

Differences in socioenvironmental exposures influence overall child health, but their association with pediatric cystic fibrosis (CF) outcomes is less clear. This observational study investigated the relationship between area-level socioeconomic deprivation, state child health, and CF respiratory outcomes in a national cohort.

METHODS

We assessed relationships between the 2015 area deprivation index, a composite measure of socioeconomic disadvantage; the 2016 child health index, a state-specific measure of overall child health; and CF respiratory outcomes in the 2016 CF Foundation Patient Registry.

RESULTS

The sample included 9934 individuals with CF, aged 6-18 years. In multiple regression analysis adjusted for demographic and clinical covariates, those residing in the worst tertile for area deprivation had 2.8% lower percent predicted forced expiratory volume in 1 s (ppFEV₁ ; 95% confidence interval [CI]: -4.1 to -1.5), 1.2 more intravenous (IV) treatment nights (CI: 0.1-2.4), and 20% higher odds of ≥2 pulmonary exacerbations (odds ratio [OR]: 1.2, CI: 1.0-1.5) than best-tertile counterparts. Children with CF in states at the worst tertile for child health had 2.3% lower ppFEV₁ (CI: -4.5 to -0.2), 2.2 more IV treatment nights (CI: 0.5-3.6), and 40% higher odds of ≥2 exacerbations (OR: 1.4, CI: 1.1-1.8) than best-tertile counterparts. State child health accounted for the association between area deprivation and multiple exacerbations and more IV treatment nights.

CONCLUSIONS

Both area socioeconomic characteristics and state child health play a role in pediatric CF outcomes. The residual association of the state child health with CF outcomes after controlling for area deprivation reflects the ability of state programs to mitigate the effect of poverty.

Pediatric asthma hospitalization: individual and environmental characteristics of high utilizers in South Texas

OBJECTIVE

Few studies have examined factors affecting the high frequency of hospitalization for pediatric asthma. This study identifies individual and environmental characteristics of children with asthma from a low-income community with a high number of hospitalizations.

METHODS

The study population included 902 children admitted at least once to a children's hospital in South Texas because of asthma from 2010 to 2016. The population was divided into three groups by utilization frequency (high: ≥4 times, medium: 2-3 times, or low: 1 time). Individual-level factors at index admission and environmental factors were included for the analysis. Unadjusted and adjusted multivariate ordered logistic regression models were applied to identify significant characteristics of high hospital utilizers.

RESULTS

The high utilization group comprised 2.4% of total patients and accounted for substantial hospital resource utilization: 10.8% of all admissions and 13.5% of days stayed in the hospital. Patients in the high utilization group showed longer length of stay (LOS) and shorter time between admissions on average than the other two groups. The multivariate ordered logistic regression models revealed that age of 5-11 years (OR = 0.57, 95%CI = 0.35-0.93), longer LOS (2 days: OR = 1.80, 95%CI = 1.15-2.84; ≥3 days: OR = 3.38, 95%CI = 2.10-5.46), warm season at index admission (OR = 1.49, 95%CI = 1.01-2.20), and higher average ozone level in children's residential neighborhoods (OR = 1.78, 95%CI = 1.01-3.14) were significantly associated with a higher number of asthma hospitalizations.

CONCLUSIONS

The findings suggest the importance of monitoring high hospital utilizers and establishing strategies for such patients based on their characteristics to reduce repeated hospitalizations and to increase optimal use of hospital resources.

Change of address as a measure of housing insecurity predicting rural emergency department revisits after asthma exacerbation

OBJECTIVE

Housing insecurity is an important socioeconomic factor that may impact emergency department (ED) use for children with asthma, but housing insecurity screening has primarily relied on patient surveys or linkage to external data sources. Using patient addresses recorded in the electronic medical record (EMR), we sought to correlate recent changes in address (as a proxy for housing insecurity) with ED revisit risk.

METHODS

We retrospectively identified patients age 2-17 years seen in our rural ED for asthma exacerbation during 2016-2018. We used EMR data from the 12 months before the earliest ED visit to compare patients with and without a recent change of address (over previous 12 months) on 30- and 90-day all-cause and asthma-specific ED revisits.

RESULTS

The study included 632 children, of whom 85 (13%) had a recent address change before the index ED visit. Moving was not associated with asthma-specific 30-day or 90-day revisits. Ninety-day all-cause revisits were more common among patients who had recently moved (36% vs. 25%; p = 0.019), although this difference was not statistically significant after multivariable adjustment for Medicaid insurance coverage and number of recent health system encounters (odds ratio: 1.49; 95% confidence interval: 0.91, 2.46; p = 0.114).

CONCLUSIONS

A history of recent address change in the EMR was not independently associated with repeat ED visits for asthma exacerbation. Many children presenting to the ED did not have recent encounters with our health system where address could be ascertained. This EMR-based proxy for housing insecurity may be more applicable to patients under continuous follow-up.

Combined Effect of Race/Ethnicity and Type of Insurance on Reuse of Urgent Hospital-Based Services in Children Discharged with Asthma

Asthma is a leading cause of health disparity in children. This study explores the joint effect of race/ethnicity and insurance type on risk for reuse of urgent services within a year of hospitalization. Data were collected from 604 children hospitalized with asthma between 2012 and 2015 and stratified with respect to combination of patients’ insurance status (public vs. private) and race/ethnicity (white vs. nonwhite). Highest rates for at least one emergency department (ED) revisit (49.5%, 95% CI 42.5, 56.5) and for average revisits (1.03, 95% CI 0.83, 1.22) were recorded in nonwhite children with public insurance. Adjusted models revealed higher chance for ED reuse in white as well as nonwhite children covered by public insurance. Hospitalization rate was not dependent on the combination of social determinants, but on the number of post-discharge ED revisits. The combined effect of race/ethnicity and health insurance are associated with post-discharge utilization of ED services, but not with hospital readmission.

Effect of Ambient Air Pollution on Hospital Readmissions among the Pediatric Asthma Patient Population in South Texas: A Case-Crossover Study

Few studies have evaluated the association between ambient air pollution and hospital readmissions among children with asthma, especially in low-income communities. This study examined the short-term effects of ambient air pollutants on hospital readmissions for pediatric asthma in South Texas. A time-stratified case-crossover study was conducted using the hospitalization data from a children’s hospital and the air pollution data, including particulate matter 2.5 (PM_2.5) and ozone concentrations, from the Centers for Disease Control and Prevention between 2010 and 2014. A conditional logistic regression analysis was performed to investigate the association between ambient air pollution and hospital readmissions, controlling for outdoor temperature. We identified 111 pediatric asthma patients readmitted to the hospital between 2010 and 2014. The single-pollutant models showed that PM_2.5 concentration had a significant positive effect on risk for hospital readmissions (OR = 1.082, 95% CI = 1.008–1.162, p = 0.030). In the two-pollutant models, the increased risk of pediatric readmissions for asthma was significantly associated with both elevated ozone (OR = 1.023, 95% CI = 1.001–1.045, p = 0.042) and PM_2.5 concentrations (OR = 1.080, 95% CI = 1.005–1.161, p = 0.036). The effects of ambient air pollutants on hospital readmissions varied by age and season. Our findings suggest that short-term (4 days) exposure to air pollutants might increase the risk of preventable hospital readmissions for pediatric asthma patients.

Residential instability, neighborhood deprivation, and pediatric asthma outcomes

INTRODUCTION

Limited work has directly compared the role of different neighborhood factors or examined their interactive effects on pediatric asthma outcomes. Our objective was to quantify the main and interactive effects of neighborhood deprivation and residential instability (RI) on pediatric asthma outcomes.

METHODS

We conducted a retrospective cross-sectional study of patients with a primary diagnosis of asthma hospitalized at a tertiary care pediatric hospital. Residential addresses at the index hospitalization were linked to the state area deprivation index (ADI). RI was coded as the number of residences in the past 4 years. Logistic and ordinal regression and Cox regression survival analyses were used to estimate the effect on the primary outcomes of chronic asthma severity (intermittent, mild persistent, moderate persistent, severe persistent/other) as defined by the National Heart, Lung, and Blood Institute, severe hospitalization (requiring continuous albuterol or intensive care unit care), and time to emergency department (ED) readmission and rehospitalization within 365 days of the index visit, respectively.

RESULTS

In the sample (N = 664), 21% had severe persistent/other asthma, 22% had severe hospitalization, 37% were readmitted to the ED, and 19% were rehospitalized. Increasing RI was independently associated with more severe chronic asthma (odds ratio = 1.18, 95% confidence interval [CI] = 1.05, 1.32, P = .004), greater risk of 365-day ED readmission (hazard ratio [HR] = 1.10, 95% CI = 1.05, 1.15, P < .0001), and greater risk of 365-day rehospitalization (HR = 1.09, 95% CI = 1.03, 1.14, P = .002). There were no significant associations between ADI and these outcomes. Further, we did not find significant evidence of interactive effects.

CONCLUSIONS

RI appears to be modestly associated with pediatric asthma outcomes, independent of current neighborhood deprivation.

The impact of cumulative stress on asthma outcomes among urban adolescents

INTRODUCTION

Many families living in low-income, urban areas experience a number of stressors (e.g., poverty, neighborhood stress, family functioning) that place adolescents at risk for worse asthma outcomes. Adolescents may face additional challenges (e.g., peer pressure, school stress) that add to their overall stress and influence their disease care and health outcomes. The current study examined the impact of a cumulative risk model of stressors including poverty, neighborhood stress, school stress, peer pressure, and caregiver-adolescent conflict on asthma outcomes (e.g., emergency department [ED] visits, asthma control, quality of life [QOL]) among urban adolescents (13-17 years).

METHODS

Data were collected from 61 urban families of adolescents with asthma (54.1% female; 93.4% African American) in the United States. Caregivers and adolescents completed questionnaires assessing stressors and asthma outcomes separately during a research session.

RESULTS

Cumulative risk was significantly associated with worse adolescent QOL and asthma control, and more ED visits. The cumulative risk index was also a more robust predictor of QOL and asthma control than any one individual predictor. Poverty, neighborhood stress, and school stress emerged as individual predictors of ED visits. Further, adolescents with well-controlled asthma had significantly lower neighborhood and school-related stress scores.

CONCLUSIONS

Findings suggest that beyond the risk conferred by individual risk factors, an accumulation of stress can have an especially negative impact on asthma outcomes for urban adolescents. Future intervention work aimed at improving asthma outcomes should consider incorporating strategies for minimizing overlapping sources of stress in adolescents' daily lives.

Risk factors for readmission of children hospitalized with acute asthma attacks in South China

OBJECTIVE

Asthma seriously endangers the health of children. Re-hospitalization for childhood asthma consumes a large amount of medical and health resources. The present study aimed to assess the rates and risk factors for hospital readmission of children with acute asthma attacks in south China.

METHODS

We retrospectively enrolled 1702 acute asthma patients aged < 18 years from 1/1/2007 to 12/31/2015. Patients who were readmitted within one year after index hospital discharge were divided into a readmission group. Index hospitalization data were acquired from clinical records. Chi-square tests and multivariate logistic regression analyses were used to evaluate the risk factors.

RESULTS

There were 90 (5.29%) readmitted patients from 1702 acute asthma patients. Considering the large sample differences between readmitted and single-admitted patients, 123 single-admitted patients (1.5-fold as many as the readmitted group) were randomly selected. Further univariate Chi-square tests and multivariate logistic regression analyses showed that the predictors of readmission included eczema history (odds ratio (OR) 3.122, p = 0.003) and mycoplasma pneumoniae (MP) antibody immunoglobulin M(IgM) (OR 2.386, p = 0.037).

CONCLUSIONS

Among the children admitted to a hospital in south China with acute asthma attacks, 5.29% were readmitted within the following year. Patients with history of eczema and positive MP antibody IgM had significantly increased the chances of one-year readmission, underlining the importance of targeted long-term postdischarge follow-up of these children.

Does participation in the community outreach for asthma care and healthy lifestyles (COACH) program alter subsequent use of hospital services for children discharged with asthma?

Introduction: Transition from hospital to home is a challenging time for children with asthma and their caregivers because of the high risk for reutilization of acute hospital services. Detecting effective quality improvement initiatives to reduce utilization of urgent services in children discharged with asthma is an important clinical and public health question. This study was designed to identify the role of a multimodal, nurse-driven, inpatient initiated Community Outreach for Asthma Care and Healthy lifestyles (COACH) program on subsequent use of hospital services for pediatric patients with asthma.Methods: We utilized comparative effectiveness design to identify the difference in recurrent emergency department (ED) visits and/or admissions within 12-months after discharge between patients with asthma who engaged in the COACH program (Intervention group) and those who did not (Comparison group). We used administrative databases of hospitals included in the Meridian Health system to identify the number of and time to asthma-related readmissions and ED re-attendances.Results: We found no difference in the rate or number of recurrent hospital-based services used within 12 months, but found a reduction in ED re-visitation and/or readmission within 30 days for COACH program participants prior to and after adjustment for age, race/ethnicity, insurance status, and clinical presentation (Odd Ratio 0.44, 95% Confidence Interval 0.20, 0.93).Conclusion: Participation in the COACH program decreases the likelihood for subsequent use of hospital services within a month of discharge for children with asthma. Enhanced post-discharge interactions with families may reduce long-term reuse of hospital-based services for COACH program participants.

Integrating social and behavioral determinants of health into patient care and population health at Veterans Health Administration: a conceptual framework and an assessment of available individual and population level data sources and evidence-based measurements

The premise of this project was that social and behavioral determinants of health (SBDH) affect the use of healthcare services and outcomes for patients in an integrated healthcare system such as the Veterans Health Administration (VHA), and thus individual patient level socio-behavioral factors in addition to the neighborhood characteristics and geographically linked factors could add information beyond medical factors mostly considered in clinical decision making, patient care, and population health. To help VHA better address SBDH risk factors for the veterans it cares for within its primary care clinics, we proposed a conceptual and analytic framework, a set of evidence-based measures, and their data source. The framework and recommended SBDH metrics can provide a road map for other primary care-centric healthcare organizations wishing to use health analytic tools to better understand how SBDH affect health outcomes.

Neighborhood Risk and Hospital Use for Pediatric Asthma, Rhode Island, 2005-2014

INTRODUCTION

Studies consistently show that children living in poor neighborhoods have worse asthma outcomes. The objective of our study was to assess the association between negative neighborhood factors (ie, neighborhood risk) and pediatric asthma hospital use.

METHODS

This retrospective study used data from children aged 2 to 17 years in a statewide (Rhode Island) hospital network administrative database linked to US Census Bureau data. We defined an asthma visit as an International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code of 493 in any diagnosis field. We used 8 highly correlated measures for each census-block group to construct an index of neighborhood risk. We used maps and linear regression to assess the association of neighborhood risk with average annual census-block-group rates of asthma emergency department visits and hospitalizations. We used multivariable analyses to identify child characteristics and neighborhood risk associated with an asthma revisit, accounting for the child's sociodemographic information, season, and multiple measurements per child.

RESULTS

From 2005 through 2014, we counted 359,195 visits for 146,889 children. Of these, 12,699 children (8.6%) had one or more asthma visits. Linear regression results showed 1.18 (95% confidence interval, 1.06-1.30) more average annual emergency departments visits per 100 children and 0.41 (95% confidence interval, 0.34-0.47) more average annual hospitalizations per 100 children in neighborhoods in the highest-risk index quintile than in neighborhoods in the lowest-risk index quintile.

CONCLUSION

Interventions to improve asthma outcomes among children should move beyond primary care or clinic settings and involve a careful evaluation of social context and environmental triggers.

Individual and Neighborhood Factors Associated with Undiagnosed Asthma in a Large Cohort of Urban Adolescents

Undiagnosed asthma adds to the burden of asthma and is an especially significant public health concern among urban adolescents. While much is known about individual-level demographic and neighborhood-level factors that characterize those with diagnosed asthma, limited data exist regarding these factors and undiagnosed asthma. This observational study evaluated associations between undiagnosed asthma and individual and neighborhood factors among a large cohort of urban adolescents. We analyzed data from 10,295 New York City adolescents who reported on asthma symptoms and diagnosis; a subset (n = 6220) provided addresses that we were able to geocode into US Census tracts. Multivariable regression models estimated associations between undiagnosed asthma status and individual-level variables. Hierarchical linear modeling estimated associations between undiagnosed asthma status and neighborhood-level variables. Undiagnosed asthma prevalence was 20.2%. Females had higher odds of being undiagnosed (adjusted odds ratio (AOR) = 1.25; 95% confidence interval (CI) = 1.13-1.37). Compared to White, non-Hispanic adolescents, Asian-Americans had higher risk of being undiagnosed (AOR = 1.41; 95% CI = 1.01-1.95); Latinos (AOR = 0.67; 95% CI = 0.45-0.83); and African-Americans/Blacks (AOR = 0.66; 95% CI = 0.52-0.87) had lower risk; Latinos and African-Americans/Blacks did not differ significantly. Living in a neighborhood with a lower concentration of Latinos relative to White non-Latinos was associated with lower risk of being undiagnosed (AOR = 0.66; CI = 0.43-0.95). Living in a neighborhood with health care provider shortages was associated with lower risk of being undiagnosed (AOR = 0.80; 95% CI =0.69-0.93). Public health campaigns to educate adolescents and their caregivers about undiagnosed asthma, as well as education for health care providers to screen adolescent patients for asthma, are warranted.

Different sensitivities to ambient temperature between first- and re-admission childhood asthma cases in Hong Kong - A time series study

OBJECTIVES

Asthma can be triggered by various factors due to different etiologies. Environmental factors remain a common trigger of asthma, especially amongst children, and such ambient exposures can be harder to avoid compared to behavioral triggers. As such, the contribution of environmental factors may be enhanced when considering repeat asthma cases compared to initial presentations. To test this hypothesis, we assessed associations between ambient temperature and hospital admissions for asthma in Hong Kong and stratified admission records into first and repeat asthma hospitalizations.

METHODS

The daily number of asthma hospitalizations among children aged 0-5 years in Hong Kong during 2007-2011 was regressed on daily mean temperature using distributed lagged nonlinear models, with adjustment for seasonal patterns, day-of-week effects, and other meteorological factors and air-pollutants. Analyses were stratified by summer/winter and by type of admission (first admission and repeated admission).

RESULTS

About 33% of the 12284 asthma hospitalizations were repeat admissions. Repeat admissions demonstrated higher sensitivity to high temperature in the summer. During this period, high temperatures were associated with increased risk of repeat admission but not with first admissions: RR (95% CI) comparing 31 °C vs. 29 °C across lags 0-15 days was 3.40 (1.26, 9.18) and 0.74 (0.31, 1.77) for repeat and first admissions respectively. In the cold season, all admissions increased with falls in temperature, with slightly stronger associations apparent for repeat admissions compared to first admission: 1.20 (1.00, 1.44) vs. 1.10 (0.96, 1.26) respectively comparing risk at 15 °C vs. 12 °C across lags 0-5 days.

CONCLUSIONS

To our knowledge, this is the first study to show stronger associations between ambient temperature and repeat asthma admissions compared to first admissions. The higher sensitivity among those experiencing repeat admissions may allow for more personalized disease management. Given the substantial differences in associations by admission type, future studies of ambient exposures on asthma should consider analyzing the two groups separately.

Predictors of Hospital Reuse Among Publicly Insured Children Hospitalized for Status Asthmaticus

BACKGROUND

Asthma is a common cause of pediatric hospitalization. Nonadherence to asthma medications is associated with worse outcomes; however, there is a paucity of data regarding posthospitalization prescription filling and hospital reuse. Our objective was to identify patients at risk for hospital reuse after being hospitalized for asthma.

METHODS

This is a retrospective study of patients with asthma who were discharged from a children's hospital in which we use Medicaid claims data to evaluate prescription fills within 30 days and 12 months. Chart reviews were used for demographics, chronic asthma severity, admission severity, and hospital reuse. t and χ² tests were performed for continuous and categorical variables. A generalized linear mixed model was fitted to predict the odds of hospital reuse, which was defined as requiring an emergency department visit or rehospitalization. Survival analysis using log-rank testing was used for modeling the time to hospital reuse.

RESULTS

Fifty-four percent of patients discharged with asthma had hospital reuse within 1 year of discharge. There was no association between hospital reuse and prescription filling for systemic steroids (odds ratio [OR] 1.30; confidence interval [CI]: 0.85-2.00; P = .21) or controller medications (OR 1.5; CI: 0.92-2.52; P = .10). There was a higher number of controller and systemic steroid prescription fills over 12 months for patients with hospital reuse. The factors associated with greater odds of hospital reuse were severity of chronic asthma diagnosis (P = .03) as well as African American race (OR 1.92; CI: 1.17-3.13; P = .01).

CONCLUSIONS

For Medicaid-insured patients discharged with asthma, worse chronic asthma severity and African American race were associated with greater odds of hospital reuse. Decreased prescription filling was not associated with greater odds of hospital reuse.

Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits

The importance of social components of health has been emphasized both in epidemiology and public health. This paper highlights the significant impact of social components on health outcomes in a novel way. Introducing the concept of sociomarkers, which are measurable indicators of social conditions in which a patient is embedded, we employed a machine learning approach that uses both biomarkers and sociomarkers to identify asthma patients at risk of a hospital revisit after an initial visit with an accuracy of 66%. The analysis has been performed over an integrated dataset consisting of individual-level patient information such as gender, race, insurance type, and age, along with ZIP code-level sociomarkers such as poverty level, blight prevalence, and housing quality. Using this uniquely integrated database, we then compare the traditional biomarker-based risk model and the sociomarker-based risk model. A biomarker-based predictive model yields an accuracy of 65% and the sociomarker-based model predicts with an accuracy of 61%. Without knowing specific symptom-related features, the sociomarker-based model can correctly predict two out of three patients at risk. We systematically show that sociomarkers play an important role in predicting health outcomes at the individual level in pediatric asthma cases. Additionally, by merging multiple data sources with detailed neighborhood-level data, we directly measure the importance of residential conditions for predicting individual health outcomes.

Predictors of repeated acute hospital attendance for asthma in children: A systematic review and meta-analysis

BACKGROUND

Asthma attacks are common and have significant physical, psychological, and financial consequences. Improving the assessment of a child's risk of subsequent asthma attacks could support front-line clinicians' decisions on augmenting chronic treatment or specialist referral. We aimed to identify predictors for emergency department (ED) or hospital readmission for asthma from the published literature.

METHODS

We searched MEDLINE, EMBASE, AMED, PsycINFO, and CINAHL with no language, location, or time restrictions. We retrieved observational studies and randomized controlled trials (RCT) assessing factors (personal and family history, and biomarkers) associated with the risk of ED re-attendance or hospital readmission for acute childhood asthma.

RESULTS

Three RCTs and 33 observational studies were included, 31 from Anglophone countries and none from Asia or Africa. There was an unclear or high risk of bias in 14 of the studies, including 2 of the RCTs. Previous history of emergency or hospital admissions for asthma, younger age, African-American ethnicity, and low socioeconomic status increased risk of subsequent ED and hospital readmissions for acute asthma. Female sex and concomitant allergic diseases also predicted hospital readmission.

CONCLUSION

Despite the global importance of this issue, there are relatively few high quality studies or studies from outside North America. Factors other than symptoms are associated with the risk of emergency re-attendance for acute asthma among children. Further research is required to better quantify the risk of future attacks and to assess the role of commonly used biomarkers.

Is a Patient's Current Address of Record a Reasonable Measure of Neighborhood Deprivation Exposure? A Case for the Use of Point in Time Measures of Residence in Clinical Care

Purpose: Interest is increasing in the use of geocoded patient address data to understand the effects that social determinants of health have on healthcare outcomes. Use of a patient's current address of record is often problematic given population mobility. Intragenerational economic mobility research suggests that patients will reside within neighborhoods with similar relative deprivation over time despite geographic mobility. The purpose of this study was to measure evidence of patient neighborhood deprivation persistence given a change in address of record.

Methods: A retrospective cohort study of patients receiving active care in an integrated delivery system in a high-mobility United States region. Neighborhood deprivation was measured using a block-group level area deprivation index. Neighborhood deprivation persistence was measured as the probability that an individual with an address of record change remained within a neighborhood with a similar deprivation score. Logistic regression was used to conduct multivariate analysis.

Results: Geographic mobility was highest among patients living in the most deprived neighborhoods versus least-deprived (odds ratio 1.75; 95% confidence interval: 1.71–1.79). Seventy-eight percent of all patients with a change of address did so to a neighborhood with a similar deprivation quintile. The probability that a random patient selected from the study had a change of address outside the same or neighboring quintile within a 1-year period ranged from 2% to 13%.

Conclusions: Neighborhood deprivation persistence was high among this population of patients from a high mobility region. A current address of record is a reasonable indicator of patient exposure to neighborhood deprivation within a 1–3-year timeframe that is useful in evaluating healthcare disparities.

Risk Factors for Return to the Emergency Department for Asthma: A Population-Based Study

BACKGROUND

A substantial proportion of patients with asthma return after being discharged from the emergency department (ED). Given the high economic burden of acute care claims, and the impact on productivity and quality of life, a better understanding of risk factors for ED return is of interest.

OBJECTIVE

To quantify the rate and determine factors associated with return to the ED for asthma within 1 year of an initial ED visit for asthma.

METHODS

Individuals aged 5 to 99 years living in Ontario, Canada, with an ED visit for asthma in the period 2008 to 2014 were included. Descriptive statistics were used to compare those with an ED return with those without an ED return. An adjusted modified Poisson regression model was used to estimate the relative risk of ED return for asthma within 1 year after the initial discharge.

RESULTS

In total, 58,366 individuals met the inclusion criteria. At 1-year follow-up, 12.1% returned to the ED at least once. Younger age, being materially deprived, and having chronic obstructive pulmonary disease were significantly associated with increased risk of ED return within 1 year after the initial visit.

CONCLUSIONS

Nearly 1 in 8 individuals with a first ED visit for asthma returned to the ED within a year of the initial ED discharge. Targeting those at risk for ED return may help improve health care costs, productivity, and quality of life.

Neighborhood Deprivation and Childhood Asthma Outcomes, Accounting for Insurance Coverage

OBJECTIVES

Collecting social determinants data is challenging. We assigned patients a neighborhood-level social determinant measure, the area of deprivation index (ADI), by using census data. We then assessed the association between neighborhood deprivation and asthma hospitalization outcomes and tested the influence of insurance coverage.

METHODS

A retrospective cohort study of children 2 to 17 years old admitted for asthma at 8 hospitals. An administrative database was used to collect patient data, including hospitalization outcomes and neighborhood deprivation status (ADI scores), which were grouped into quintiles (ADI 1, the least deprived neighborhoods; ADI 5, the most deprived neighborhoods). We used multivariable models, adjusting for covariates, to assess the associations and added a neighborhood deprivation status and insurance coverage interaction term.

RESULTS

A total of 2270 children (median age 5 years; 40.6% girls) were admitted for asthma. We noted that higher ADI quintiles were associated with greater length of stay, higher cost, and more asthma readmissions (P < .05 for most quintiles). Having public insurance was independently associated with greater length of stay (β: 1.171; 95% confidence interval [CI]: 1.117-1.228; P < .001), higher cost (β: 1.147; 95% CI: 1.093-1.203; P < .001), and higher readmission odds (odds ratio: 1.81; 95% CI: 1.46-2.24; P < .001). There was a significant deprivation-insurance effect modification, with public insurance associated with worse outcomes and private insurance with better outcomes across ADI quintiles (P < .05 for most combinations).

CONCLUSIONS

Neighborhood-level ADI measure is associated with asthma hospitalization outcomes. However, insurance coverage modifies this relationship and needs to be considered when using the ADI to identify and address health care disparities.

Constipation-Related Health Care Utilization in Children Before and After Hospitalization for Constipation

We studied constipation-related health care among children before and after constipation admission. Index admissions for constipation in 2010-2011 were identified in the Truven Marketscan Database, which includes children receiving Medicaid in 10 states. We measured number of and spending for outpatient constipation visits 12 months before and after index hospitalizations. We also measured spending for constipation hospitalizations and rehospitalization rate. There were 780 index constipation admissions. The median number of outpatient constipation visits was 1 (interquartile range [IQR] = 0, 3) in the 12 months before and 2 (IQR [0, 4]) after admission ( P = .001). Median outpatient spending for constipation was $110 (IQR [0, 429]) before and $132 (IQR [0, 431]) after admission ( P = .2). Median spending for index constipation admissions was $5295 (IQR [2756, 8267]); 78 children (10%) were rehospitalized for constipation within 12 months. Constipation-related health care utilization increased after constipation admission. Median spending for one constipation admission was 50 times the median spending for 12 months of outpatient constipation visits.

Health care access, concentrated poverty, and pediatric asthma hospital care use in California's San Joaquin Valley: A multilevel approach

BACKGROUND

California's San Joaquin Valley is a region with a history of poverty, low health care access, and high rates of pediatric asthma. It is important to understand the potential barriers to care that challenge vulnerable populations.

OBJECTIVE

The objective was to describe pediatric asthma-related utilization patterns in the emergency department (ED) and hospital by insurance coverage as well as to identify contributing individual-level indicators (age, sex, race/ethnicity, and insurance coverage) and neighborhood-level indicators of health care access.

METHODS

This was a retrospective study based on secondary data from California hospital and ED records 2007-2012. Children who used services for asthma-related conditions, were aged 0-14 years, Hispanic or non-Hispanic white, and resided in the San Joaquin Valley were included in the analysis. Poisson multilevel modeling was used to control for individual- and neighborhood-level factors.

RESULTS

The effect of insurance coverage on asthma ED visits and hospitalizations was modified by the neighborhood-level percentage of concentrated poverty (RR = 1.01, 95% CI = 1.01-1.02; RR = 1.03, 95% CI = 1.02-1.04, respectively). The effect of insurance coverage on asthma hospitalizations was completely explained by the neighborhood-level percentage of concentrated poverty.

CONCLUSIONS

Observed effects of insurance coverage on hospital care use were significantly modified by neighborhood-level measures of health care access and concentrated poverty. This suggests not only an overall greater risk for poor children on Medi-Cal, but also a greater vulnerability or response to neighborhood social factors such as socioeconomic status, community cohesiveness, crime, and racial/ethnic segregation.

National estimates of 30-day readmissions among children hospitalized for asthma in the United States

OBJECTIVE

Previous single-center studies have reported that up to 40% of children hospitalized for asthma will be readmitted. The study objectives are to investigate the prevalence and timing of 30-day readmissions in children hospitalized with asthma, and to identify factors associated with 30-day readmissions.

METHODS

Data (n = 12,842) for children aged 6-18 years hospitalized for asthma were obtained from the 2013 Nationwide Readmission Database (NRD). The primary study outcome was time to readmission within 30 days after discharge attributable to any cause. Several predictors associated with the risk of admission were included: patient (age, sex, median household income, insurance type, county location, and pediatric chronic complex condition), admission (type, day, emergency services utilization, length of stay (LOS), and discharge disposition), and hospital (ownership, bed size, and teaching status). Cox's proportional hazards model was used to identify predictors.

RESULTS

Of 12,842 asthma-related index hospitalizations, 2.5% were readmitted within 30-days post-discharge. Time to event models identified significantly higher risk of readmission among asthmatic children aged 12-18 years, those who resided in micropolitan counties, those with >4-days LOS during index hospitalization, those who were hospitalized in an urban hospital, who had unfavorable discharge (hazard ratio 2.53, 95% confidence interval 1.33-4.79), and those who were diagnosed with a pediatric complex chronic condition, respectively, than children in respective referent categories.

CONCLUSION

A multi-dimensional approach including effective asthma discharge action plans and follow-up processes, home-based asthma education, and neighborhood/community-level efforts to address disparities should be integrated into the routine clinical care of asthma children.

Community-level characteristics and environmental factors of child respiratory illnesses in Southern Arizona

BACKGROUND

Lower respiratory illnesses (LRIs) and asthma are common diseases in children <5 years of age. Few studies have investigated the relationships between multiple, home-based social and environmental risk factors and asthma and LRIs in children. Of those that have, none have focused exclusively on children <5 years of age, who are more physiologically vulnerable and spend more time at home compared to older children. Further, no studies have done so at the community level.

METHODS

We modeled relationships between emergency department visits and hospitalization rates for asthma and LRIs for children <5 years and geographic risk factors, including socio-economic and housing characteristics, ambient air pollution levels, and population density in Maricopa and Pima Counties, Arizona, from 2005 to 2009. We used a generalized linear model with a negative binomial observation distribution and an offset for the population of very young children in each tract. To reduce multicollinearity among predictors, socio-economic characteristics, and ambient air pollutant levels were combined into unit-less indices using the principal components analysis (PCA). Housing characteristics variables did not exhibit moderate-to-high correlations and thus were not included in PCA. Spatial autocorrelation among regression model residuals was assessed with the Global Moran's I test.

RESULTS

Following the regression analyses, almost all predictors were significantly related to at least one disease outcome. Lower socio-economic status (SES) and reduced population density were associated with asthma hospitalization rates and both LRI outcomes (p values <0.001). After adjusting for differences between counties, Pima County residence was associated with lower asthma and LRI hospitalization rates. No spatial autocorrelation was found among multiple regression model residuals (p values >0.05).

CONCLUSIONS

Our study revealed complex, multi-factorial associations between predictors and outcomes. Findings indicate that many rural areas with lower SES have distinct factors for childhood respiratory diseases that require further investigation. County-wide differences in maternal characteristics or agricultural land uses (not tested here) may also play a role in Pima County residence protecting against hospitalizations, when compared to Maricopa County. By better understanding this and other relationships, more focused public health interventions at the community level could be developed to reduce and better control these diseases in children <5 years, who are more physiologically vulnerable.

Multifaceted quality improvement initiative to decrease pediatric asthma readmissions

BACKGROUND

Asthma is the most common chronic disease of childhood and a leading cause of hospitalization in children. A primary goal of asthma control is prevention of hospitalizations. A hospital admission is the single strongest predictor of future hospital admissions for asthma. The 30-day asthma readmission rate at our institution was significantly higher than that of other hospitals in the Children's Hospital Association. As a result, a multifaceted quality improvement project was undertaken with the goal of reducing the 30-day inpatient asthma readmission rate by 50% within two years.

METHODS

Analysis of our institution's readmission patterns, value stream mapping of asthma admission, discharge, and follow-up processes, literature review, and examination of comparable successful programs around the United States were all utilized to identify potential targets for intervention. Interventions were implemented in a stepwise manner, and included increasing inhaler availability after discharge, modifying asthma education strategies, and providing in-home post-discharge follow-up. The primary outcome was a running 12-month average 30-day inpatient readmission rate. Secondary outcomes included process measures for individual interventions.

RESULTS

From a peak of 7.98% in January 2013, a steady decline to 1.65% was observed by July 2014, which represented a 79.3% reduction in 30-day readmissions.

CONCLUSION

A significant decrease in hospital readmissions for pediatric asthma is possible, through comprehensive, multidisciplinary quality improvement that spans the continuum of care.

Association between pediatric home management plan of care compliance and asthma readmission

OBJECTIVES

In 2007, The Joint Commission implemented three children's asthma care (CAC) measures to help improve the quality of care for patients admitted with asthma. Due to lack of consistent evidence showing a relationship between home management plan of care (HMPC) compliance and readmission rates, CAC-3 was retired in 2016. We aimed to understand the relationship between HMPC compliance and revisits to the hospital, and investigate which components of the HMPC, if any, were driving the effect.

METHODS

This was a retrospective cohort study at a quaternary care freestanding children's hospital, including patients between 2 and 17 years of age admitted with a primary diagnosis of asthma between January 1, 2006, and July 1, 2013. Bivariate and multiple logistic regression analyses examined effects of HMPC provider compliance on hospital readmission and emergency department utilization for asthma within 180 days of initial discharge, controlling for admission to the intensive care unit, age, gender, ethnicity, insurance type, and whether inhaled corticosteroids were prescribed.

RESULTS

A total of 1,176 patients were included. Those discharged with an HMPC (n = 756, of which 84% were fully compliant) were found to have significantly lower readmission rates (7 vs. 11.9%; aOR = 0.63; 95% CI, 0.41-0.95) and ED revisit rates (aOR = 0.73; 95% CI, 0.56-0.96) within 180 days of discharge.

CONCLUSIONS

Providing an HMPC upon discharge was found to be associated with decreased asthma readmission and ED utilization rates. This suggests that although HMPC is no longer a required measure, there may still be utility in continuing this practice.

Housing code violation density associated with emergency department and hospital use by children with asthma

Local agencies that enforce housing policies can partner with the health care system to target pediatric asthma care. These agencies retain data that can be used to pinpoint potential clusters of high asthma morbidity. We sought to assess whether the density of housing code violations in census tracts-the in-tract asthma-relevant violations (such as the presence of mold or cockroaches) divided by the number of housing units-was associated with population-level asthma morbidity and could be used to predict a hospitalized patient's risk of subsequent morbidity. We found that increased density in housing code violations was associated with population-level morbidity independent of poverty, and that the density explained 22 percent of the variation in rates of asthma-related emergency department visits and hospitalizations. Children who had been hospitalized for asthma had 1.84 greater odds of a revisit to the emergency department or a rehospitalization within twelve months if they lived in the highest quartile of housing code violation tracts, compared to those living in the lowest quartile. Integrating housing and health data could highlight at-risk areas and patients for targeted interventions.

Explaining Racial Disparities in Child Asthma Readmission Using a Causal Inference Approach

IMPORTANCE

Childhood asthma is characterized by disparities in the experience of morbidity, including the risk for readmission to the hospital after an initial hospitalization. African American children have been shown to have more than 2 times the hazard of readmission when compared with their white counterparts.

OBJECTIVE

To explain why African American children are at greater risk for asthma-related readmissions than white children.

DESIGN, SETTING, AND PARTICIPANTS

This study was completed as part of the Greater Cincinnati Asthma Risks Study, a population-based, prospective, observational cohort. From August 2010 to October 2011, it enrolled 695 children, aged 1 to 16 years, admitted for asthma or wheezing who identified as African American (n = 441) or white (n = 254) in an inpatient setting of an urban, tertiary care children's hospital.

MAIN OUTCOMES AND MEASURES

The main outcome was time to asthma-related readmission and race was the predictor. Biologic, environmental, disease management, access, and socioeconomic hardship variables were measured; their roles in understanding racial readmission disparities were conceptualized using a directed acyclic graphic. Inverse probability of treatment weighting balanced African American and white children with respect to key measured variables. Racial differences in readmission hazard were assessed using weighted Cox proportional hazards regression and Kaplan-Meier curves.

RESULTS

The sample was 65% male (n = 450), and the median age was 5.4 years. African American children were 2.26 times more likely to be readmitted than white children (95% CI, 1.56-3.26). African American children significantly differed with respect to nearly every measured biologic, environmental, disease management, access, and socioeconomic hardship variable. Socioeconomic hardship variables explained 53% of the observed disparity (hazard ratio, 1.47; 95% CI, 1.05-2.05). The addition of biologic, environmental, disease management, and access variables resulted in 80% of the readmission disparity being explained. The difference between African American and white children with respect to readmission hazard no longer reached the level of significance (hazard ratio, 1.18; 95% CI, 0.87-1.60; Cox P = .30 and log-rank P = .39).

CONCLUSIONS AND RELEVANCE

A total of 80% of the observed readmission disparity between African American and white children could be explained after statistically balancing available biologic, environmental, disease management, access to care, and socioeconomic and hardship variables across racial groups. Such a comprehensive, well-framed approach to exposures that are associated with morbidity is critical as we attempt to better understand and lessen persistent child asthma disparities.

Pollution, Poverty, and Potentially Preventable Childhood Morbidity in Central California

OBJECTIVE

To measure ecological relationships between neighborhood pollution burden, poverty, race/ethnicity, and pediatric preventable disease hospitalization rates.

STUDY DESIGN

Preventable disease hospitalization rates were obtained from the 2012 California Office of Statewide Health Planning and Development database, for 8 Central Valley counties. US Census Data was used to incorporate zip code level factors including racial diversity and poverty rates. The pollution burden score was calculated by the California Office of Environmental Health Hazard Assessment using 11 indicators. Poisson-based negative binomial regression was used for final analysis. Stratification of sample by age, race/ethnicity, and insurance coverage was also incorporated.

RESULTS

Children experiencing potentially preventable hospitalizations are disproportionately low income and under the age of 4 years. With every unit increase in pollution burden, preventable disease hospitalizations rates increase between 21% and 32%, depending on racial and age subgroups. Although living in a poor neighborhood was not associated with potentially avoidable hospitalizations, children enrolled in Medi-Cal who live in neighborhoods with lower pollution burden and lower levels of poverty, face 32% lower risk for ambulatory care sensitive condition hospitalization. Children living in primary care shortage areas are at increased risk of preventable hospitalizations. Preventable disease hospitalizations increase for all subgroups, except white/non-Hispanic children, as neighborhoods became more racially diverse.

CONCLUSIONS

Understanding the geographic distribution of disease and impact of individual and community level factors is essential to expanding access to care and preventive resources to improve the health of children in California's most polluted and underserved region.

Health Disparities in Pediatric Asthma: Comprehensive Tertiary Care Center Experience

LOCATION

Study conducted at Nemours /Alfred I. duPont Hospital for Children, Wilmington, DE 19803 BACKGROUND: Although the treatment and management of asthma hasimproved over time, incidence and prevalence among children continues to rise in the United States. Asthma prevalence, health services utilization, and mortality rate demonstrate remarkable disparities. The underlying causes of these disparities are not fully understood. We aimed to examine racial/ethnic variances in pediatric asthma prevalence/admission.

PATIENTS AND METHODS

We retrospectively reviewed data on 1070 patients and applied a cross-sectional design to assess asthma admission between 2010 and 2011. Information was available on race/ethnicity, sex, insurance status, severity of illness (SOI), and length of stay/hospitalization (LOS).Chi-square statistic was used for the association between race and other variables in an attempt to explain the racial/ethnic variance.

RESULTS

The proportionate morbidity of asthma was highest amongCaucasians (40.92%) and African Americans (40.54%), intermediate among others (16.57%), and lowest among Asian (0.56%), American Indian/Alaska Native (0.28%), and Hawaiian Native/Pacific Islander (0.28%). Overall there were disparities by sex, with more boys (61.80%) diagnosed with asthma than girls (38.20%), χ2(7)=20.1, p=0.005. Insurance status, and SOI varied by race/ethnicity, but not LOS. Caucasian children were more likely to have private insurance, while African Americans and Hispanics were more likely to have public insurance (p<0.005). Asthma was more severe among non-Hispanic children, χ2(14)=154.6, p<0.001. While the overall readmission proportion was 2.8%, readmission significantly varied by race/ethnicity.

CONCLUSION

Racial/ethnic disparities in asthma admission exist among children in the Delaware Valley. There were racial/ethnic disparities in insurance status, asthma severity, and sex differed by race/ethnicity, but not in length of hospitalization.

Children and Adults With Frequent Hospitalizations for Asthma Exacerbation, 2012-2013: A Multicenter Observational Study

BACKGROUND

Earlier studies reported that many patients were frequently hospitalized for asthma exacerbation. However, there have been no recent multicenter studies to characterize this patient population with high morbidity and health care utilization.

OBJECTIVE

To examine the proportion and characteristics of children and adults with frequent hospitalizations for asthma exacerbation.

METHODS

A multicenter chart review study of patients aged 2 to 54 years who were hospitalized for asthma exacerbation at 1 of 25 hospitals across 18 US states during the period 2012 to 2013 was carried out. The primary outcome was frequency of hospitalizations for asthma exacerbation in the past year (including the index hospitalization).

RESULTS

The cohort included 369 children (aged 2-17 years) and 555 adults (aged 18-54 years) hospitalized for asthma exacerbation. Over the 12-month period, 36% of the children and 42% of the adults had 2 or more (frequent) hospitalizations for asthma exacerbation. Among patients with frequent hospitalizations, guideline-recommended outpatient management was suboptimal. For example, among adults, 32% were not on inhaled corticosteroids at the time of index hospitalization and 75% had no evidence of a previous evaluation by an asthma specialist. At hospital discharge, among adults with frequent hospitalizations who had used no controller medications previously, 37% were not prescribed inhaled corticosteroids. Likewise, during a 3-month postdischarge period, 64% of the adults with frequent hospitalizations were not referred to an asthma specialist. Although the proportion of patients who did not receive these guideline-recommended outpatient care appeared higher in adults, these preventive measures were still underutilized in children; for example, 38% of the children with frequent hospitalizations were not referred to asthma specialist after the index hospitalization.

CONCLUSIONS

This multicenter study of US patients hospitalized with asthma exacerbation demonstrated a disturbingly high proportion of patients with frequent hospitalizations and ongoing evidence of suboptimal longitudinal asthma care.

Risk factors associated with hospital readmission in pediatric asthma

Asthma is a leading cause of hospitalization among children, and about 15-50% of pediatric patients are readmitted after an index admission. The purpose of this integrative review is to explore contemporary scientific findings on the association between pediatric asthma readmission and various demographic, environmental, psychosocial and clinical risk factors. An electronic database search resulted in a sample of 29 studies. African American, public or no insurers, previous admission and complex chronic comorbidity were identified as risk factors associated with pediatric asthma readmission. However, more interdisciplinary and well-designed investigations are warranted to further explicate the spectrum of environmental and psychosocial correlates.

Bedroom air quality and vacuuming frequency are associated with repeat child asthma hospital admissions

OBJECTIVE

Indoor environment factors have been associated with risk of asthma exacerbations in children but little is known about their role on asthma hospital readmissions. As children in Western societies continually spend more time indoors, understanding the influence of these factors on asthma exacerbation is important. We examined the role of indoor environmental and lifestyle characteristics on child asthma readmissions.

METHODS

A hospital-based case-control study recruited 22 children readmitted for asthma and 22 controls not readmitted for asthma. Logistic regression models were used to examine the association between aeroallergens and fungi in the bedroom and indoor lifestyle characteristics factors for asthma readmissions. To determine the best possible set of predictors among a large set of risk factors, we used random forests (RF) techniques.

RESULTS

Higher levels of airborne Cladosporium and yeast in the child's bedroom increased risk of readmission (OR = 1.68, 95% CI 1.04-2.72 and OR = 1.52, 95% CI 0.99-2.34, respectively). Carpeted floors in the bedroom and synthetic doonas were also associated with increase in asthma readmissions (OR = 4.07, 95% CI 1.03-16.06 and OR = 14.6, 95% CI 1.26-169.4, respectively). In the home, frequent vacuuming using bagged cleaners increased risk of asthma readmission OR = 15.7 (95% CI 2.82-87.2).

CONCLUSIONS

Factors in the child's bedroom play an important role in increasing the risk of asthma hospital readmissions. These findings have major clinical implications as the identified potential risk factors may be modifiable. Further epidemiological studies with larger samples are necessary to evaluate these associations further.

Trends in asthma readmissions among children and adolescents over time by age, gender and season

OBJECTIVES

Little is known about asthma readmissions within 28 days over time by age or gender. We explored trends in childhood asthma hospital readmission rates over time by age, gender and season.

METHODS

Using a large database of 53,156 childhood admissions with a primary diagnosis of asthma from the Department of Health Victoria Australia for 1997-2009, we explored asthma hospital readmissions rates by seasonality, gender and age (2-18 years) using chi square tests, logistic regression models and graphical techniques.

RESULTS

Approximately 9459 (28%) of the children had two or more admissions over the whole study period, contributing to 55% (29,056/53,156) of all admissions. Approximately 5% of admissions were repeat admission within 28 days. Over time, despite a decline in asthma incidence, the rate of readmission within 28 days increased, particularly in the 2-12 year age groups. Girls were at greater risk of readmission within 28 days (odds ratio [OR] = 1.15; 95% CI: 1.004-1.32; p = 0.04) and 12 months (OR = 1.11; 95% CI: 1.05-1.19; p = 0.001). Grass pollen season was associated with readmissions within 28 days, but only in boys (p = 0.01).

CONCLUSION

Over time, despite a fall in asthma incidence, readmission rates for childhood asthma significantly increased in younger age groups with girls at a higher risk of being readmitted than boys. Increased risk of repeat admission for boys was observed during the grass pollen season. These findings highlight high-risk groups, which has implications for both clinical services and patient care. More detailed monitoring of readmission rates amongst various risk groups over time is required.

Associations between ozone, PM2.5, and four pollen types on emergency department pediatric asthma events during the warm season in New Jersey: a case-crossover study

BACKGROUND

Asthma is one of the most common chronic diseases among school-aged children in the United States. Environmental respiratory irritants exacerbate asthma among children. Understanding the impact of a variety of known and biologically plausible environmental irritants and triggers among children in New Jersey - ozone, fine particulate matter (PM2.5), tree pollen, weed pollen, grass pollen and ragweed - would allow for informed public health interventions.

METHODS

Time-stratified case-crossover design was used to study the transient impact of ozone, PM2.5 and pollen on the acute onset of pediatric asthma. Daily emergency department visits were obtained for children aged 3-17 years with a primary diagnosis of asthma during the warm season (April through September), 2004-2007 (inclusive). Bi-directional control sampling was used to select two control periods for each case for a total of 65,562 inclusion days. Since the period of exposure prior to emergency department visit may be the most clinically relevant, lag exposures were investigated (same day (lag0), 1, 2, 3, 4, and 5 as well as 3-day and 5-day moving averages). Multivariable conditional logistic regression controlling for holiday, school-in-session indicator, and 3-day moving average for temperature and relative humidity was used to examine the associations. Odds ratios are based on interquartile range (IQR) increases or 10 unit increases when IQR ranges were narrow. Single-pollutant models as well as multipollutant models were examined. Stratification on gender, race, ethnicity and socioeconomic status was explored.

RESULTS

The associations with ozone and PM2.5 were strongest on the same day (lag0) of the emergency department visit (RR IQR=1.05, 95% CI 1.04-1.06) and (RR IQR=1.03, 95% CI 1.02-1.04), respectively, with a decreasing lag effect. Tree and weed pollen were associated with pediatric ED visits; the largest magnitudes of association was with the 5-day average (RR IQR=1.23, 95% CI 1.21-1.25) and (RR 10=1.13, 95% CI 1.12-1.14), respectively. Grass pollen was only minimally associated with the outcome while ragweed had a negative association.

CONCLUSIONS

The ambient air pollutant ozone is associated with increases in pediatric emergency department asthma visits during the warm weather season. The different pollen types showed different associations with the outcome. High levels of tree pollen appear to be an important risk factor in asthma exacerbations.

Linking patient-centered medical home and asthma measures reduces hospital readmission rates

OBJECTIVE

We sought to achieve 100% compliance with all 3 Children's Asthma Care (CAC; CAC-1, CAC-2, CAC-3) measures and track attendance at follow-up appointments with the patient-centered medical home. The impact of these measures on readmission and emergency department utilization rates was evaluated.

METHODS

This quality improvement study evaluated compliance with CAC measures in pediatric patients aged 2 to 18 years old hospitalized with a primary diagnosis of asthma from January 1, 2008, through June 30, 2012. A multidisciplinary Asthma Task Force was assembled to develop interventions. Attendance at the follow-up appointment was tracked monthly from January 1, 2009. Readmission and emergency department utilization rates were compared between the preimplementation period (January 1, 2006, through December 31, 2007) and the postimplementation period (January 1, 2008, through June 30, 2012).

RESULTS

The preimplementation period included 231 subjects and the postimplementation period included 532 subjects. Compliance with CAC-3 was 95% from October 1, 2009, through June 30, 2012. Compliance with the postdischarge follow-up appointment was 69% from January 1, 2009 through September 30, 2009, increasing significantly to 90% from October 1, 2009, through June 30, 2012 (P < .001). Postimplementation readmission rates significantly decreased in the 91- to 180-day postdischarge interval (odds ratio: 0.29; 95% confidence interval: 0.11-0.78).

CONCLUSIONS

In children hospitalized with asthma, compliance with the asthma core measures and the postdischarge follow-up appointment with the primary care provider was associated with reduced readmission rates at 91 to 180 days after discharge. We attribute our results to a comprehensive set of interventions designed by our multidisciplinary Asthma Task Force.

Practice-tailored facilitation to improve pediatric preventive care delivery: a randomized trial

OBJECTIVE

Evolving primary care models require methods to help practices achieve quality standards. This study assessed the effectiveness of a Practice-Tailored Facilitation Intervention for improving delivery of 3 pediatric preventive services.

METHODS

In this cluster-randomized trial, a practice facilitator implemented practice-tailored rapid-cycle feedback/change strategies for improving obesity screening/counseling, lead screening, and dental fluoride varnish application. Thirty practices were randomized to Early or Late Intervention, and outcomes assessed for 16 419 well-child visits. A multidisciplinary team characterized facilitation processes by using comparative case study methods.

RESULTS

Baseline performance was as follows: for Obesity: 3.5% successful performance in Early and 6.3% in Late practices, P = .74; Lead: 62.2% and 77.8% success, respectively, P = .11; and Fluoride: <0.1% success for all practices. Four months after randomization, performance rose in Early practices, to 82.8% for Obesity, 86.3% for Lead, and 89.1% for Fluoride, all P < .001 for improvement compared with Late practices' control time. During the full 6-month intervention, care improved versus baseline in all practices, for Obesity for Early practices to 86.5%, and for Late practices 88.9%; for Lead for Early practices to 87.5% and Late practices 94.5%; and for Fluoride, for Early practices to 78.9% and Late practices 81.9%, all P < .001 compared with baseline. Improvements were sustained 2 months after intervention. Successful facilitation involved multidisciplinary support, rapid-cycle problem solving feedback, and ongoing relationship-building, allowing individualizing facilitation approach and intensity based on 3 levels of practice need.

CONCLUSIONS

Practice-tailored Facilitation Intervention can lead to substantial, simultaneous, and sustained improvements in 3 domains, and holds promise as a broad-based method to advance pediatric preventive care.