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.

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.