Well-Child Care Attendance and Risk of Asthma Exacerbations

Neighborhood Socioeconomic Context Predicts Pediatric Asthma Exacerbation

Causes of asthma exacerbation in children have been studied extensively at the individual level, but contributions of neighborhood-level factors are less explored. We test which distinctive residential characteristics produce variation in uncontrolled asthma among pediatric patients. We extracted electronic medical record data from pediatric patients living in Southern California and used multilevel modeling techniques to isolate which neighborhood characteristics drive inequitable asthma control. Above and beyond the individual-level factors known to predict inadequate disease control, neighborhoods with greater concentration of non-Hispanic black residents (odds ratios [OR] = 1.02; 95% confidence interval [CI]: 0.99-1.03; P < .05), higher proportions of female-headed households (OR = 1.01; 95% CI: 0.99-1.01; P < .05), and higher levels of ambient air pollution (OR = 1.05; 95% CI: 1.01-1.10; P < .001) associate with greater odds of asthma exacerbation. The interplay between community characteristics and asthma management during childhood is complex, and place-based initiatives are needed to narrow the gap in asthma exacerbation.

Place-Based Opportunity and Well Child Visit Attendance in Early Childhood

BACKGROUND

Lower neighborhood opportunity, measured by the Child Opportunity Index [COI], is associated with increased pediatric morbidity, but is less frequently used to examine longitudinal well child care. We aimed to evaluate associations between the COI and well child visit [WCV] attendance from birth - <36 months of age.

METHODS

The Upstate KIDS population-based birth cohort includes children born 2008-2010 in New York state. The exposure, 2010 census tract COI (very low [VL] to very high [VH]), was linked to children's geocoded residential address at birth. The outcome was attended WCVs from birth - <36 months of age. Parents reported WCVs and their child's corresponding age on questionnaires every 4-6 months. These data were applied to appropriate age ranges for recommended WCVs to determine attendance. Associations were modeled longitudinally as odds of attending visits and as mean differences in proportions of WCVs by COI.

RESULTS

Among 4650 children, 21% (n = 977) experienced VL or low COI. Children experiencing VL (adjusted OR [aOR] 0.68, 95% CI 0.61, 0.76), low (aOR 0.81, 95% CI 0.73, 0.90), and moderate COI (aOR 0.88, 95% CI 0.81, 0.96), compared to VH COI, had decreased odds of attending any WCV. The estimated, adjusted mean proportions of WCV attendance were lower among children experiencing VL (0.45, P < .01), low (0.53, P = .02), moderate (0.53, P = .05), and high (0.54, P = .03) compared to VH COI (0.56).

CONCLUSIONS

Lower COI at birth was associated with decreased WCV attendance throughout early childhood. Reducing barriers to health care access for children experiencing lower COI may advance equitable well child care.

Risk Factors for Nonattendance Among Children With Asthma: A Systematic Review and Meta-Analysis

BACKGROUND

Nonattendance at scheduled outpatient visits among children with asthma has been associated with an increased risk of acute asthma events and increased health care expenses. Specific risk factors for nonattendance have been suggested, but a comprehensive overview is lacking.

OBJECTIVE

To investigate risk factors for nonattendance among children with asthma and assess whether nonattendance associates with acute events through a systematic review and meta-analysis.

METHODS

The study (PROSPERO: CRD42023471893) was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines using the PubMed, Ovid MEDLINE, Embase, ClinicalTrials.gov, and Cochrane Library databases and search terms "asthma/wheeze," "child," and "nonattendance." Original peer-reviewed studies in English were included and evaluated for risk of bias using the Newcastle Ottawa scale. A meta-analysis was performed for all risk factors. Finally, we analyzed whether nonattendance was associated with the risk of acute events.

RESULTS

A total of 17 studies encompassing 27,023 children with asthma were included. The meta-analysis was performed on 11 eligible studies, with 25,948 children, and identified the following risk factors for nonattendance; teenage versus preteen (odds ratio [OR] 1.26; 95% confidence interval [95% CI] 1.06-1.49; P < .01), non-White versus White ethnicity (OR 1.51; 95% CI 1.04-2.18; P = .03) and lower disease severity (OR 1.41; 95% CI 1.13-1.77; P < .01). There were no significant findings in the meta-analysis for insurance status, atopy, sex, or rural residence. Nonattendance associated with an increased risk of acute asthma events (OR 1.11; 95% CI 1.07-1.16; P < .01).

CONCLUSIONS

This systematic review and meta-analysis identified specific risk factors to facilitate the development of a strategy against nonattendance for pediatric patients with asthma. This is particularly important given nonattendance being associated with an increased risk of acute asthma.

The influence of social and environmental determinants of health on hospitalizations for pediatric asthma

BACKGROUND

Asthma is the most common chronic disease of childhood, and has several social, environmental, and demographic factors potentially influential to its disease burden. This study sought to determine the influence of these factors on hospital admissions and readmissions for pediatric asthma.

METHODS

This was a retrospective cohort study using data from the Indiana Network for Patient Care, a state-wide health information exchange in the United States. Study participants were children 2-18 years old admitted to the hospital with a respiratory diagnostic code between 2010 and 2021. Clinical variables were obtained from electronic health record data, and social and environmental determinants of health data were obtained from the Indiana Social Assets and Vulnerabilities Indicators using geocoding systems. Negative binomial models were used to examine community level social and environmental risk factors modifying the relationship between patient characteristics and the risk of asthma-related hospitalizations and 30-day readmissions.

RESULTS

The study sample included 25,063 patients with an average follow-up of 9 (SD = 5) years. Of these, there were 17,816 asthma-related admissions. There were a total of 1,037 asthma-related 30-day readmissions, with an incidence rate of readmissions relative to total visits of 0.028 per person-year. A high social vulnerability index (SVI) was associated with an increased rate of hospital admissions (Proportion attributable ratio: 1.09, 95%CI (1.03,1.15), p < 0.05). No environmental determinants of health were significantly associated with hospitalization rate.

CONCLUSION

High SVI was significantly associated with increased risk of total hospital admissions for pediatric asthma.

Prediction of Asthma Exacerbations in Children

Asthma exacerbations are common in asthmatic children, even among those with good disease control. Asthma attacks result in the children and their parents missing school and work days; limit the patient's social and physical activities; and lead to emergency department visits, hospital admissions, or even fatal events. Thus, the prompt identification of asthmatic children at risk for exacerbation is crucial, as it may allow for proactive measures that could prevent these episodes. Children prone to asthma exacerbation are a heterogeneous group; various demographic factors such as younger age, ethnic group, low family income, clinical parameters (history of an exacerbation in the past 12 months, poor asthma control, poor adherence to treatment, comorbidities), Th2 inflammation, and environmental exposures (pollutants, stress, viral and bacterial pathogens) determine the risk of a future exacerbation and should be carefully considered. This paper aims to review the existing evidence regarding the predictors of asthma exacerbations in children and offer practical monitoring guidance for promptly recognizing patients at risk.

Multilevel Factors Associated With Participation in Group Well-Child Care

OBJECTIVE

To identify factors associated with participation in group well-child care (GWCC), wherein families share preventive health care visits.

METHODS

We extracted electronic health record data of mother-infant dyads with infants born 2013-18 at Yale New Haven Hospital and followed at the primary care center. Using chi-square analysis and multivariate logistic regression, we examined the extent to which 1) maternal/infant characteristics and recruitment timing were associated with GWCC initiation and continued engagement and 2) initiation was associated with primary care visits.

RESULTS

Of 2046 eligible mother-infant dyads, 11.6% initiated GWCC. The odds of initiation were higher among mothers with Spanish versus English primary language (odds ratio: 2.36 [95% confidence interval: 1.52-3.66]), with 1 child versus ≥ 3 children (1.58 [1.13-2.22]), and of non-Hispanic Black versus non-Hispanic White infants (2.72 [1.39-5.32]). Initiation was lower among infants born in 2016 (0.53 [0.32-0.88]) and 2018 (0.29 [0.17-0.52]) versus 2013. Among GWCC initiators with follow-up data (n = 217), continued engagement (n = 132, 60.8%) was positively associated with maternal age of 20-29 years (2.85 [1.10-7.34]) and > 30 years (3.46 [1.15-10.43]) compared with< 20 years, and mothers with 1 child versus ≥ 3 (2.28 [1.04-4.98]). GWCC initiators, versus non-initiators, had 5.06 times higher adjusted odds of attending > 9 primary care appointments in the first 18 months (95% confidence interval: 3.74-6.85).

CONCLUSIONS

As evidence builds on health and social benefits of GWCC, recruitment efforts may gain from considering multi-level socio-economic, demographic, and cultural factors associated with GWCC participation. Higher participation among systemically marginalized groups may present unique opportunities for family-based health promotion to mitigate health inequities.

Continuity of Care in Primary Care for Young Children With Chronic Conditions

OBJECTIVES

1) To assess continuity of care (CoC) within primary-care practices for children with asthma and autism spectrum disorder (ASD) compared to children without chronic conditions, and 2) to determine patient and clinical-care factors associated with CoC.

METHODS

Retrospective cohort study of electronic health records from office visits of children <9 years, seen ≥4 times between 2015 and 2019 in 10 practices of a community-based primary health care network in California. Three cohorts were constructed: 1) Asthma: ≥2 visits with asthma visit diagnoses; 2) ASD: same method; 3) Controls: no chronic conditions. CoC, using Usual Provider of Care measure (range > 0-1), was calculated for 1) all visits (overall) and 2) well-care visits. Fractional regression models examined CoC adjusting for patient age, medical insurance, practice affiliation, and number of visits.

RESULTS

Of 30,678 children, 1875 (6.1%) were classified with Asthma, 294 (1.0%) with ASD, and 15,465 (50.4%) as Controls. Overall CoC was lower for Asthma (Mean = 0.58, SD 0.21) and ASD (M = 0.57, SD = 0.20) than Controls (M = 0.66, SD = 0.21); differences in well-care CoC were minimal. In regression models, lower overall CoC was found for Asthma (aOR = 0.90, 95% CI, 0.85-0.94). Lower overall and well-care CoC were associated with public insurance (aOR = 0.77, CI, 0.74-0.81; aOR = 0.64, CI, 0.59-0.69).

CONCLUSION

After accounting for patient and clinical-care factors, children with asthma, but not with ASD, in this primary-care network had significantly lower CoC compared to children without chronic conditions. Public insurance was the most prominent patient factor associated with low CoC, emphasizing the need to address disparities in CoC.

Association between Gentrification and Health and Healthcare Utilization

There is tremendous interest in understanding how neighborhoods impact health by linking extant social and environmental drivers of health (SDOH) data with electronic health record (EHR) data. Studies quantifying such associations often use static neighborhood measures. Little research examines the impact of gentrification-a measure of neighborhood change-on the health of long-term neighborhood residents using EHR data, which may have a more generalizable population than traditional approaches. We quantified associations between gentrification and health and healthcare utilization by linking longitudinal socioeconomic data from the American Community Survey with EHR data across two health systems accessed by long-term residents of Durham County, NC, from 2007 to 2017. Census block group-level neighborhoods were eligible to be gentrified if they had low socioeconomic status relative to the county average. Gentrification was defined using socioeconomic data from 2006 to 2010 and 2011-2015, with the Steinmetz-Wood definition. Multivariable logistic and Poisson regression models estimated associations between gentrification and development of health indicators (cardiovascular disease, hypertension, diabetes, obesity, asthma, depression) or healthcare encounters (emergency department [ED], inpatient, or outpatient). Sensitivity analyses examined two alternative gentrification measures. Of the 99 block groups within the city of Durham, 28 were eligible (N = 10,807; median age = 42; 83% Black; 55% female) and 5 gentrified. Individuals in gentrifying neighborhoods had lower odds of obesity (odds ratio [OR] = 0.89; 95% confidence interval [CI]: 0.81-0.99), higher odds of an ED encounter (OR = 1.10; 95% CI: 1.01-1.20), and lower risk for outpatient encounters (incidence rate ratio = 0.93; 95% CI: 0.87-1.00) compared with non-gentrifying neighborhoods. The association between gentrification and health and healthcare utilization was sensitive to gentrification definition.

Environmental and clinical data utility in pediatric asthma exacerbation risk prediction models

BACKGROUND

Asthma exacerbations are triggered by a variety of clinical and environmental factors, but their relative impacts on exacerbation risk are unclear. There is a critical need to develop methods to identify children at high-risk for future exacerbation to allow targeted prevention measures. We sought to evaluate the utility of models using spatiotemporally resolved climatic data and individual electronic health records (EHR) in predicting pediatric asthma exacerbations.

METHODS

We extracted retrospective EHR data for 5982 children with asthma who had an encounter within the Duke University Health System between January 1, 2014 and December 31, 2019. EHR data were linked to spatially resolved environmental data, and temporally resolved climate, pollution, allergen, and influenza case data. We used xgBoost to build predictive models of asthma exacerbation over 30-180 day time horizons, and evaluated the contributions of different data types to model performance.

RESULTS

Models using readily available EHR data performed moderately well, as measured by the area under the receiver operating characteristic curve (AUC 0.730-0.742) over all three time horizons. Inclusion of spatial and temporal data did not significantly improve model performance. Generating a decision rule with a sensitivity of 70% produced a positive predictive value of 13.8% for 180 day outcomes but only 2.9% for 30 day outcomes.

CONCLUSIONS

EHR data-based models perform moderately wellover a 30-180 day time horizon to identify children who would benefit from asthma exacerbation prevention measures. Due to the low rate of exacerbations, longer-term models are likely to be most clinically useful.

TRIAL REGISTRATION

Not applicable.

Allergic Comorbidity Is a Risk Factor for Not Attending Scheduled Outpatient Visits in Children with Asthma

Asthma is one of the most common chronic diseases in children globally. Previous studies have shown that not attending asthma primary care consultations is associated with poorer treatment adherence and increased risk of loss of asthma control on a short-term basis. Here, we investigated long-term patterns and predictors of not attending scheduled asthma outpatient visits during 5-years of follow-up in 146 children with asthma. Of the 146 children, 67 (46%) did not attend at least one scheduled appointment, amounting to a total of 122 (10.8%) missed of 1133 scheduled appointments. In a multivariate analysis adjusting for total scheduled visits in the 5-year period any allergic sensitization was a significant risk factor for not attending ≥1 scheduled appointment (aOR = 6.6 (95% CI, 1.3–39.7), p = 0.03), which was not the case for asthma treatment step or lung function. Furthermore, atopic predisposition decreased the risk of non-attendance (aOR = 0.36 (0.13–0.92), p = 0.04). We found no association between non-attendance, treatment adherence or loss of asthma control. This study highlights that allergic comorbidity, but not degree of asthma severity, identifies a group of children with asthma who are prone to not attend scheduled outpatient appointments.

Reduced pediatric urgent asthma utilization and exacerbations during the COVID-19 pandemic

The COVID-19 pandemic has had a profound impact on healthcare access and utilization, which could have important implications for children with chronic diseases, including asthma. We sought to evaluate changes in healthcare utilization and outcomes in children with asthma during the COVID-19 pandemic. We used electronic health records data to evaluate healthcare use and asthma outcomes in 3959 children and adolescents, 5-17 years of age, with a prior diagnosis of asthma who had a history of well-child visits and encounters within the healthcare system. We assessed all-cause healthcare encounters and asthma exacerbations in the 12-months preceding the start of the COVID-19 pandemic (March 1, 2019-February 29, 2020) and the first 12 months of the pandemic (March 1, 2020-February 28, 2021). All-cause healthcare encounters decreased significantly during the pandemic compared to the preceding year, including well-child visits (48.1% during the pandemic vs. 66.6% in the prior year; p < .01), emergency department visits (9.7% vs. 21.0%; p < .01), and inpatient admissions (1.6% vs. 2.5%; p < .01), though there was over a 100-fold increase in telehealth encounters. Asthma exacerbations that required treatment with systemic steroids also decreased (127 vs. 504 exacerbations; p < .01). Race/ethnicity was not associated with changes in healthcare utilization or asthma outcomes. The COVID-19 pandemic corresponded to dramatic shifts in healthcare utilization, including increased telehealth use and improved outcomes among children with asthma. Social distancing measures may have also reduced asthma trigger exposure.