User-Centered Framework for Implementation of Technology (UFIT): Development of an Integrated Framework for Designing Clinical Decision Support Tools Packaged With Tailored Implementation Strategies.

BACKGROUND: Electronic health record-based clinical decision support (CDS) tools can facilitate the adoption of evidence into practice. Yet, the impact of CDS beyond single-site implementation is often limited by dissemination and implementation barriers related to site- and user-specific variation in workflows and behaviors. The translation of evidence-based CDS from initial development to implementation in heterogeneous environments requires a framework that assures careful balancing of fidelity to core functional elements with adaptations to ensure compatibility with new contexts. OBJECTIVE: This study aims to develop and apply a framework to guide tailoring and implementing CDS across diverse clinical settings. METHODS: In preparation for a multisite trial implementing CDS for pediatric overweight or obesity in primary care, we developed the User-Centered Framework for Implementation of Technology (UFIT), a framework that integrates principles from user-centered design (UCD), human factors/ergonomics theories, and implementation science to guide both CDS adaptation and tailoring of related implementation strategies. Our transdisciplinary study team conducted semistructured interviews with pediatric primary care clinicians and a diverse group of stakeholders from 3 health systems in the northeastern, midwestern, and southeastern United States to inform and apply the framework for our formative evaluation. RESULTS: We conducted 41 qualitative interviews with primary care clinicians (n=21) and other stakeholders (n=20). Our workflow analysis found 3 primary ways in which clinicians interact with the electronic health record during primary care well-child visits identifying opportunities for decision support. Additionally, we identified differences in practice patterns across contexts necessitating a multiprong design approach to support a variety of workflows, user needs, preferences, and implementation strategies. CONCLUSIONS: UFIT integrates theories and guidance from UCD, human factors/ergonomics, and implementation science to promote fit with local contexts for optimal outcomes. The components of UFIT were used to guide the development of Improving Pediatric Obesity Practice Using Prompts, an integrated package comprising CDS for obesity or overweight treatment with tailored implementation strategies. TRIAL REGISTRATION: ClinicalTrials.gov NCT05627011; https://clinicaltrials.gov/study/NCT05627011.

Geospatial analysis of nonmedical vaccine exemptions and pertussis outbreaks in the United States.

Because of increased numbers of recorded pertussis cases in the United States, this study sought to understand the role of nonmedical vaccine exemptions and waning immunity may have had on the resurgence of pertussis in the United States at the community level. We used geospatial scan statistics, SaTScan, version 9.4, to analyze nonmedical vaccine exemptions of children entering kindergarten in 2011 and 2012 and reported pertussis cases in 2012 for children in age groups 5 years and younger and 10 to 14 years. Eight statistically significant clusters of nonmedical vaccine exemptions in kindergarteners and 11 statistically significant clusters of pertussis cases in children and adolescents were identified and geospatially linked. Forty-five percent of the counties in the study had high rates of nonmedical vaccine exemptions. The proportion of kindergarteners with nonmedical vaccine exemptions was 2.8 times larger in the identified exemption clusters. In addition, 31 counties had geographic clusters of high rates of pertussis in children ages 10 to 14 years old, consistent with waning immunity. Our findings are consistent with the view that geographic clusters of nonmedical vaccine exemptions and waning immunity may have been factors contributing to community-level pertussis outbreaks.

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.

Changes in Weight-Related Health Behaviors and Social Determinants of Health among Youth with Overweight/Obesity during the COVID-19 Pandemic.

Objectives: To assess changes in weight-related health behaviors and social determinants of health (SDoH) among youth with overweight/obesity during the coronavirus disease 2019 (COVID-19) pandemic. Methods: We assessed weight-related health behaviors (physical activity, screen time, sleep, and diet) and SDoH (food insecurity, income/childcare, and caregivers' perceived stress) before vs. during the pandemic with a survey administered August-October 2020 to caregivers of 2-17-year olds and adolescents 13-17 years old with BMI ≥85th percentile seen in clinic within 6 months prepandemic. We analyzed changes in continuous variables using paired t-tests and categorical variables with McNemar's or Fisher's exact tests, and the influence of social determinants on behavior change using multivariable regression models. Results: A total of 129 caregivers and 34 adolescents completed surveys. Compared with prepandemic, caregivers reported youth decreased moderate/vigorous physical activity (-87.4 [205.7] minutes/week, p < 0.001) and increased recreational screen time (2.5 [2.1] hours/day, p < 0.001). Fewer had regular bedtimes (before: 89% and during: 44%, p < 0.001) and more ate most meals with television (before: 16% and during: 36%, p < 0.001). Food insecurity increased from 27% to 43% (p < 0.001), 45% reported reduced household income, and caregivers with moderate/high perceived stress scale scores increased from 43% to 64% (p < 0.001). Moderate/high caregiver stress and food insecurity were associated with greater magnitudes of adverse behavior change. Conclusion: Alarming changes in health behaviors among youth with overweight/obesity, particularly among those with stressed caregivers and food insecurity, may increase prevalence of obesity-related comorbidities and exacerbate health disparities. There is an urgent need to expand access to effective interventions for overweight/obesity that address psychosocial stressors.