ArticleImplementation science communications2022
CENTER-IT: a novel methodology for adapting multi-level interventions using the Consolidated Framework for Implementation Research-a case example of a school-supervised asthma intervention.
Article in Implementation science communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- A Pilot Pragmatic Cluster Randomized Trial of School-Supervised Therapy to Improve Pediatric Asthma Control.The journal of allergy and clinical immunology. In practice · 2025Trial
- Recommendations for post-implementation adaptations to optimize family navigation in pediatric primary care: a qualitative study with parents and navigators.BMC primary care · 2023Trial
- Strategies to improve the recruitment and retention of underserved children and families in clinical trials: A case example of a school-supervised asthma therapy pilot.Contemporary clinical trials · 2022Trial
- Implementing mobile integrated health for adults with intellectual and developmental disabilities: a qualitative readiness assessment.Disability and health journal · 2026Article
- Clinician and family perspectives on the use of single maintenance and reliever therapy for children.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2026Article
- Use of a Process Map to Evaluate the Implementation of a Community-Clinical Linked Pediatric Asthma Intervention.American journal of health promotion : AJHP · 2026Article
- Promoting the recruitment of historically underrepresented children and families in clinical trials: Perspectives of pediatric clinic staff.Contemporary clinical trials communications · 2026Article
- School Health Staff Perspectives on the Implementation of Single Maintenance and Reliever Therapy (SMART) for Children with Asthma.Pediatric pulmonology · 2026Article
- Incorporating Systems-Level Stakeholder Perspectives into the Design of Mobile Integrated Health Programs.Prehospital emergency care · 2026Article
- Digitally delivered, systemically challenged: A qualitative study of health system readiness for digital care.PLOS digital health · 2026Article
- Stock inhalers in action: results of a pilot study across multiple Illinois counties.The Journal of asthma : official journal of the Association for the Care of Asthma · 2025Article
- Recommendations for Clinicians to Combat Environmental Disparities in Pediatric Asthma: A Review.Chest · 2024Review
- Exploring the relationship between school-supervised asthma therapy and social determinants of health in pediatric asthma care.Pediatric pulmonology · 2024Article
- Development of a method for Making Optimal Decisions for Intervention Flexibility during Implementation (MODIFI): a modified Delphi study.Implementation science communications · 2024Article
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundImplementation science frameworks advise the engagement of multi-level partners (at the patient, provider, and systems level) to adapt and increase the uptake of evidence-based practices (EBPs). However, there is little guidance to ensure that systems-level adaptations reflect the voices of providers who deliver and patients/caregivers who receive EBPs.
methodsWe present a novel methodology, grounded in the Consolidated Framework for Implementation Research (CFIR), which anchors the engagement of multi-level partners to the voices of individuals who deliver and receive EBPs. Using the CFIR domains: intervention adaptation, individuals involved, inner/outer setting, and process, we illustrate our 4-step methodology through a case example of Asthma Link, a school-supervised asthma management intervention. In step 1, we interviewed "individuals involved" in the intervention (providers/caregivers/patients of Asthma Link) to identify implementation barriers. In step 2, we selected systems-level partners in the "inner and outer setting" that could assist with addressing these barriers. In step 3, we presented the barriers to these systems-level partners and conducted semi-structured interviews to elicit their recommended solutions (process). Interviews were audio-recorded, transcribed, and open-coded. A theoretical sampling model and deductive reasoning were used to identify solutions to implementation barriers. In step 4, we utilized multi-level input to adapt the Asthma Link intervention.
resultsIdentified barriers included inability to obtain two inhalers for home and school use, inconsistent delivery of the inhaler to school by families, and challenges when schools did not have a nurse. Interviews conducted with school/clinic leaders, pharmacists, payors, legislators, and policymakers (n=22) elicited solutions to address provider and patient/caregiver-identified barriers, including (1) establishing a Medicaid-specific pharmacy policy to allow dispensation of two inhalers, (2) utilizing pharmacy-school delivery services to ensure medication reaches schools, and (3) identifying alternate (non-nurse) officials to supervise medication administration. The iterative process of engaging multi-level partners helped to create an adapted Asthma Link intervention, primed for effective implementation.
conclusionsThis novel methodology, grounded in the CFIR, ensures that systems-level changes that require the engagement of multi-level partners reflect the voices of individuals who deliver and receive EBPs. This methodology demonstrates the dynamic interplay of CFIR domains to advance the field of implementation science.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.