Elementary School-Based Health Centers and Access to Preventive and Asthma-Related Care Among Publicly Insured Children With Asthma in Georgia.

OBJECTIVES: We assessed the effects of 3 new elementary school-based health centers (SBHCs) in disparate Georgia communities-predominantly non-Hispanic Black semi-urban, predominantly Hispanic urban, and predominantly non-Hispanic White rural-on asthma case management among children insured by Medicaid/Children's Health Insurance Program (CHIP). METHODS: We used a quasi-experimental difference-in-differences analysis to measure changes in the treatment of children with asthma, Medicaid/CHIP, and access to an SBHC (treatment, n = 193) and children in the same county without such access (control, n = 163) in school years 2011-2013 and 2013-2018. Among children with access to an SBHC (n = 193), we tested for differences between users (34%) and nonusers of SBHCs. We used International Classification of Diseases diagnosis codes, Current Procedural Terminology codes, and National Drug Codes to measure well-child visits and influenza immunization; ≥3 asthma-related visits, asthma-relief medication, asthma-control medication, and ≥2 asthma-control medications; and emergency department visits during the child-school year. RESULTS: We found an increase of about 19 (P = .01) to 33 (P < .001) percentage points in the probability of having ≥3 asthma-related visits per child-school year and an increase of about 22 (P = .003) to 24 (P < .001) percentage points in the receipt of asthma-relief medication, among users of the predominantly non-Hispanic Black and Hispanic SBHCs. We found a 19 (P = .01) to 29 (P < .001) percentage-point increase in receipt of asthma-control medication and a 15 (P = .03) to 30 (P < .001) percentage-point increase in receipt of ≥2 asthma-control medications among users. Increases were largest in the predominantly non-Hispanic Black SBHC. CONCLUSION: Implementation and use of elementary SBHCs can increase case management and recommended medications among racial/ethnic minority and publicly insured children with asthma.

Effect of Elementary School-Based Health Centers in Georgia on the Use of Preventive Services.

INTRODUCTION: This study measures effects on the receipt of preventive care among children enrolled in Georgia's Medicaid or Children's Health Insurance Program associated with the implementation of new elementary school-based health centers. The study sites differed by geographic environment and predominant race/ethnicity (rural white, non-Hispanic; black, small city; and suburban Hispanic). METHODS: A quasi-experimental treatment/control cohort study used Medicaid/Children's Health Insurance Program claims/enrollment data for children in school years before implementation (2011-2012 and 2012-2013) versus after implementation (2013-2014 to 2016-2017) of school-based health centers to estimate effects on preventive care among children with (treatment) and without (control) access to a school-based health center. Data analysis was performed in 2017-2019. There were 1,531 unique children in the treatment group with an average of 4.18 school years observed and 1,737 in the control group with 4.32 school years observed. A total of 1,243 Medicaid/Children's Health Insurance Program-insured children in the treatment group used their school-based health centers. RESULTS: Significant increases in well-child visits (5.9 percentage points, p<0.01) and influenza vaccination (6.9 percentage points, p<0.01) were found for children with versus without a new school-based health center. This represents a 15% increase from the pre-implementation percentage (38.8%) with a well-child visit and a 25% increase in influenza vaccinations. Increases were found only in the 2 school-based health centers with predominantly minority students. The 18.7 percentage point (p<0.01) increase in diet/counseling among obese/overweight Hispanic children represented a doubling from a 15.3% baseline. CONCLUSIONS: Implementation of elementary school-based health centers increased the receipt of key preventive care among young, publicly insured children in urban areas of Georgia, with potential reductions in racial and ethnic disparities.

Designing insurance to promote use of childhood obesity prevention services.

Childhood obesity is a recognized public health crisis. This paper reviews the lessons learned from a voluntary initiative to expand insurance coverage for childhood obesity prevention and treatment services in the United States. In-depth telephone interviews were conducted with key informants from 16 participating health plans and employers in 2010-11. Key informants reported difficulty ensuring that both providers and families were aware of the available services. Participating health plans and employers are beginning new tactics including removing enrollment requirements, piloting enhanced outreach to selected physician practices, and educating providers on effective care coordination and use of obesity-specific billing codes through professional organizations. The voluntary initiative successfully increased private health insurance coverage for obesity services, but the interviews described variability in implementation with both best practices and barriers identified. Increasing utilization of obesity-related health services in the long term will require both family- and provider-focused interventions in partnership with improved health insurance coverage.

Is the availability of hospital IT applications associated with a hospital's risk adjusted incidence rate for patient safety indicators: results from 66 Georgia hospitals.

This study examines the associations between the availability of IT applications in a hospital and that hospital's risk adjusted incidence rate per 1,000 hospitalizations for Agency for Healthcare Research and Quality's (AHRQ) 15 Patient Safety Indicators (PSIs). The study population consists of a convenience sample of 66 community hospitals in Georgia that completed a Hospital IT survey by December 2003 and provided data to Georgia Hospital Discharge Data Set during 2004. AHRQ's PSI software was used to estimate risk adjusted incidence rates. Differences in means, Pearson correlation coefficients, and multivariate regression analysis were used to determine if the availability of IT applications were associated with better PSI outcomes. This study finds very little statistically significant correlation between the availability of IT applications and risk adjusted PSI incident rate per 1,000

Can an algorithm for appropriate prescribing predict adverse drug events?

OBJECTIVE: To evaluate whether a medication-appropriateness algorithm applied to pharmacy claims data can identify ambulatory patients at risk for experiencing adverse drug events (ADEs) from those medications. STUDY DESIGN: Cohort study. METHODS: We surveyed a random sample of 211 community-dwelling Medicare managed care enrollees over age 65 years who were identified by pharmacy claims as taking a potentially contraindicated medication (exposed enrollees) and a random sample of 195 enrollees who were identified as not taking such a medication (unexposed enrollees). The primary outcome of interest was the prevalence of self-reported events in previous 6 months. RESULTS: Ninety-nine (24.4% of total sample) respondents reported a total of 134 ADEs during the previous 6 months. Exposed enrollees had a significantly higher number of chronic conditions and were taking more prescription and nonprescription medications. However, the higher rate of self-reported ADEs among exposed enrollees was not statistically significant from that of unexposed enrollees (prevalence odds ratio = 1.42; 95% confidence interval [CI] = 0.90, 2.25). Only 1.5% (2/134) of the self-reported ADEs were attributed to a medication from the potentially contraindicated list. Instead, most ADEs were attributed to medications that are commonly used in older patients, including cardiovascular agents (21.6%), anti-inflammatory agents (12.2%), and cholesterol-lowering agents (7.9%). CONCLUSIONS: A medication-appropriateness algorithm using pharmacy claims data was not able to identify a subgroup of enrollees at higher risk of experiencing an ADE from those medications. The vast majority of ADEs were attributable to commonly prescribed medications.