Trial reportImplementation science : IS2026
Characterizing the practice facilitation approach: what facilitators do and how they do it to support quality improvement.
Trial report in Implementation science : IS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05413252 (Facilitation of Team-based Care to Improve HTN Management and Outcomes), which is not on this map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Facilitation of Team-based Care to Improve HTN Management and Outcomes
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundPractice facilitation is an effective multicomponent strategy that focuses on building primary care practice capacity for continuous quality improvement. Despite its growing use, few frameworks empirically specify how practice facilitation strategies are operationalized in resource-constrained settings such as small, independent primary care practices (SIPs). This study aimed to further expand our understanding of core practice facilitation processes and strategies used to facilitate the adoption of evidence-based interventions in SIPs.
methodsWe conducted a qualitative analysis of practice facilitator (PF) field notes from a stepped-wedge randomized controlled trial evaluating the impact of practice facilitation on adoption of team-based care (TBC) for hypertension management in 74 SIPs across New York City. Facilitators conducted 16 structured site visits per practice over a 12-month intervention period and documented implementation activities after each visit using a standardized digital platform. We analyzed 528 visit transcripts using a hybrid deductive-inductive approach. Deductive coding focused on established practice facilitation strategy domains; inductive coding identified novel processes and strategies that emerged from the data. Coding was conducted iteratively with regular team calibration and member checking with the PF team.
resultsWe identified an iterative process in which PFs observe/listen, diagnose, engage, and problem solve throughout the implementation period - a dynamic approach not described in previous frameworks. This process enhanced PFs' understanding of each practice's context and guided their selection and application of a core set of practice facilitation strategies. These included previously documented strategies such as training, coaching, educating, and facilitating, as well as a novel strategy we identified: modeling, in which PFs demonstrated specific tasks or workflows in real-time alongside staff, building confidence and reinforcing learning.
conclusionsThis study refines and extends current facilitation frameworks to further define core processes and strategies that drive practice transformation in SIPs. The framework provides practical guidance for implementation efforts targeting small practice settings. CLINICAL
trial registrationClinicalTrials.gov; NCT05413252; 2022-06-09.
Indexed as
Identifiers
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.