Difference-making factors in implementing a quality improvement program for sleep apnea in stroke/TIA patients
BACKGROUND: Effective prevention of ischemic stroke and transient ischemic attack (TIA) involves timely, guideline-concordant risk factor management. Obstructive sleep apnea (OSA), a significant but underdiagnosed cerebrovascular risk factor, affects approximately 70% of stroke and TIA patients. Untreated OSA is linked to impaired post-stroke recovery, recurrent vascular events, and increased mortality. Despite guideline recommendations to consider early post-stroke/TIA OSA screening, few patients receive sleep studies. This study explores the implementation of a multidisciplinary quality improvement intervention for OSA management at six Department of Veterans Affairs medical centers between 2021 and 2024, focusing on contextual factors influencing implementation success. METHODS: This mixed-methods study used data from the Addressing Sleep Apnea Post-Stroke/TIA (ASAP) stepped-wedge cluster-randomized clinical trial (NCT04322162). We conducted qualitative analyses of provider interviews and quantitative assessments via configurational comparative methods (CCMs) to identify difference-making conditions for successful implementation. The Group Organization (GO) score, a facility-level measure indicating team cohesion and activation in diagnosing and treating OSA among patients with acute cerebrovascular events, served as the primary implementation outcome. RESULTS: Successful implementation, defined by a GO score of ≥ 6, was achieved at four of the six facilities. Four conditions were sufficient by themselves for implementation success: implementation of sleep test ordering, monitoring sleep testing processes, post-discharge care coordination, and positive influence of champions during implementation. CONCLUSIONS: This study highlights the interplay between local context and novel clinical practices in successful program implementation of an acute sleep service. Four difference-makers perfectly distinguished between sites with and without implementation success. These findings provide actionable insights for tailoring and timing implementation strategies to improve adoption. TRIAL REGISTRATION: ClinicalTrials.gov NCT04322162.
Authors
- Anthony J. Perkins (ORCID: https://orcid.org/0000-0003-1278-5397)
- Jason J. Sico (ORCID: https://orcid.org/0000-0001-5358-2735)
- Nicholas A. Rattray (ORCID: https://orcid.org/0000-0002-9683-889X)
- Laura Burrone (ORCID: https://orcid.org/0000-0002-1618-564X)
- Brian B. Koo (ORCID: https://orcid.org/0000-0003-0166-5074)
- Edward J. Miech (ORCID: https://orcid.org/0000-0002-7187-1570)
- Ali Sexson
- Dawn M. Bravata (ORCID: https://orcid.org/0000-0002-3048-2536)
- Laura J. Myers (ORCID: https://orcid.org/0000-0002-8262-8007)
- K. Maya Story
- Stanley E. Taylor
- Joanne Daggy
Institutions
- Regenstrief Institute (US)
- Yale University (US)
- VA Connecticut Healthcare System (US)
- Richard L. Roudebush VA Medical Center (US)
- Quality Enhancement Research Initiative (US)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Implementation Science Communications
- Published
- 2026-04-17
- DOI
- https://doi.org/10.1186/s43058-026-00944-9
- Primary Topic
- Health Policy Implementation Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Health Services Research and Development