Obstructive Sleep Apnea Clinical Trial
— ASAPOfficial title:
Addressing Sleep Apnea Post-Stroke (ASAP)
Verified date | April 2024 |
Source | VA Office of Research and Development |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Effectively identifying and treating risk factors for ischemic stroke and transient ischemic attack (TIA) is important to patients, their family members, and healthcare systems. While obstructive sleep apnea (OSA) is a known risk factor for stroke and TIA that is present in more than 70% of stroke/TIA survivors, testing for OSA is infrequently performed for patients and within healthcare systems. The Addressing Sleep Apnea Post-Stroke/TIA (ASAP) study intends to improve rates of guideline-recommended OSA testing and treatment through local quality improvement initiatives (QI) conducted within and across 6 VA Medical Centers. ASAP will also determine the impact of these local QI initiatives on rates of OSA diagnosis, OSA treatment, recurrent vascular events, and hospital readmissions.
Status | Active, not recruiting |
Enrollment | 6 |
Est. completion date | July 31, 2024 |
Est. primary completion date | September 30, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: As recruitment was at the facility-level, an ASAP a VAMCS had to have >50 stroke/TIA admissions per year and have at least 1.0 FTE staff dedicated to systems redesign - The sites were chosen because they are diverse in terms of geography and sleep infrastructure - Local site investigators and their care teams will identify patients eligible for the QI intervention, specifically patients with ischemic stroke/TIA without a prior diagnosis of OSA Exclusion Criteria: - VAMCs were excluded if they had <=50 stroke/TIA admissions per year and did not have at least 1.0 FTE staff dedicated to systems redesign - Local site investigators and their care teams will prioritize the protection of patients from harm and use their clinical expertise in identifying patients who would not be candidates for PAP therapy - e.g., palliative care/hospice, inability to use PAP therapy [e.g., orofacial injury], or contraindication to PAP [e.g., inability to clear secretions] |
Country | Name | City | State |
---|---|---|---|
United States | Richard L. Roudebush VA Medical Center, Indianapolis, IN | Indianapolis | Indiana |
United States | VA Connecticut Healthcare System West Haven Campus, West Haven, CT | West Haven | Connecticut |
Lead Sponsor | Collaborator |
---|---|
VA Office of Research and Development |
United States,
Arling G, Perkins A, Myers LJ, Sico JJ, Bravata DM. Blood Pressure Trajectories and Outcomes for Veterans Presenting at VA Medical Centers with a Stroke or Transient Ischemic Attack. Am J Med. 2022 Jul;135(7):889-896.e1. doi: 10.1016/j.amjmed.2022.02.012. — View Citation
Diaz MM, Hu X, Fenton BT, Kimuli I, Lee A, Lindsey H, Bigelow JK, Maiser S, Altalib HH, Sico JJ. Prevalence of and characteristics associated with in-hospital mortality in a Ugandan neurology ward. BMC Neurol. 2020 Jan 31;20(1):42. doi: 10.1186/s12883-020 — View Citation
Miech EJ, Perkins AJ, Zhang Y, Myers LJ, Sico JJ, Daggy J, Bravata DM. Pairing regression and configurational analysis in health services research: modelling outcomes in an observational cohort using a split-sample design. BMJ Open. 2022 Jun 7;12(6):e0614 — View Citation
Patel K, Nussbaum E, Sico J, Merchant N. Atypical case of Miller-Fisher syndrome presenting with severe dysphagia and weight loss. BMJ Case Rep. 2020 May 27;13(5):e234316. doi: 10.1136/bcr-2020-234316. — View Citation
Sico JJ, Koo BB, Perkins AJ, Burrone L, Sexson A, Myers LJ, Taylor S, Yarbrough WC, Daggy JK, Miech EJ, Bravata DM. Impact of the coronavirus disease-2019 pandemic on Veterans Health Administration Sleep Services. SAGE Open Med. 2023 May 3;11:205031212311 — View Citation
Sico JJ, Sarwal A, Benish SM, Busis NA, Cohen BH, Das RR, Finsilver S, Halperin JJ, Kelly AG, Meunier L, Phipps MS, Thirumala PD, Villanueva R, von Gaudecker J, Bennett A, Shenoy AM. Quality improvement in neurology: Neurology Outcomes Quality Measurement — View Citation
Waddell KJ, Myers LJ, Perkins AJ, Sico JJ, Sexson A, Burrone L, Taylor S, Koo B, Daggy JK, Bravata DM. Development and validation of a model predicting mild stroke severity on admission using electronic health record data. J Stroke Cerebrovasc Dis. 2023 S — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Implementation Outcome - Adaptation | Information regarding implementation of acute OSA diagnosis and treatment approaches will be collected at each site on an ongoing basis during brief phone calls every month between the local RA and/or local champion with members of the ASAP implementation team using the "local adaptation real-time tracking system" developed by a team of VA investigators. Local adaptations will also be recorded by local RAs in response to the monthly site assessments. | Measured throughout active implementation and sustainability periods | |
Other | External Facilitation | External facilitation changes over time based on the needs of the team. However, the core elements of relationship-building, methods training, communication, facilitating team-based problem solving, and monitoring performance over time will be preserved through external facilitation from a Lean Six Sigma Black belt experienced in stroke QI work and ASAP investigators experienced in implementation of post-stroke/TIA OSA programs. External facilitation activities will be recorded and will later be classified by type of contact, topic, and dose/duration. | Measured throughout active implementation and sustainability periods | |
Other | Audit and Feedback | To support the sites' use of data, the local teams will receive explicit training in team-based reflecting & evaluating, goal-setting, and planning. Meeting as a group, local teams will be encouraged to formally ask and answer questions like: "How are we doing?" "Are we where we want to be?" "What performance goals do we want to set as targets?" "What do we need to do to achieve our goals?" "How will we know how far or how close we are to hitting our targets?." Data usage will be monitored by the web-based data platform known as the ASAP "hub." | Measured throughout active implementation and sustainability periods | |
Other | Sustainability - mixed methods analysis | The sustainability analysis will include: a comparison of the change in the diagnostic rate from the baseline data period to the sustainability period. This will be obtained from the multilevel models as described for the Aim 1 analysis. The investigators will explore whether sites that use HST as their primary diagnostic approach, that continue to actively review their audit and feedback data, and that have champions who continue to engage with systems redesign demonstrate the greatest program sustainability. | Measured throughout sustainability period | |
Other | Sustainability - Program Sustainability Assessment Tool (PSAT) | Those agreeing to participate will receive a link to complete the Program Sustainability Assessment Tool (PSAT), an online tool which allows users to: (1) understand factors associated with sustainability; (2) assess the sustainability of a program; (3) review their sustainability report, and; (4) develop an action plan to enhance the chances of programmatic sustainability. This tool assesses the facility's overall capacity for sustainability and across the specific domains of: environmental support, funding stability, partnerships, organizational capacity, program adaptation, communications, and strategic planning. Reports are generated by this tool, ranking the facility from 1 (little to no extent) to 7 (to a great extent) and provides guidance on what areas can be addressed to maximize sustainability. | Measured prior to and at the end of active implementation period and at the end of the sustainability period | |
Primary | Facility-level OSA diagnostic rate | PSG completion or initiation of auto-PAP within 30 days of presentation for the index stroke or TIA | 30-day | |
Secondary | Facility-level treatment rate | PAP initiation within 30 days of presentation to the facility. For this outcome, the denominator will be patients diagnosed with OSA. Patients with a prior diagnosis of sleep apnea and those who die within 7 days of presentation will be excluded. Because the denominator in this secondary effectiveness measure includes the patients who are diagnosed with OSA, it is variable and depends on the primary effectiveness outcome of diagnostic rate. | 30-day | |
Secondary | Facility-level recurrent vascular event rate | Stroke, myocardial infarction (MI), acute coronary syndrome (ACS), hospitalization for congestive heart failure (CHF), and all-cause mortality. The recurrent vascular event rate is measured from the day of presentation (e.g., to the Emergency Department) which may be the same as or prior to the day of admission. | 90-day | |
Secondary | Facility-level all-cause readmission rate | Includes an inpatient admission for any cause at either a VA or non-VA acute care facility. | 90-day | |
Secondary | Facility-level treatment rate (Positive airway pressure and non-positive airway pressure treatments) | PAP or non-PAP treatment initiation within 30 days of presentation to the facility. For this outcome, the denominator will be patients diagnosed with OSA. Patients with a prior diagnosis of sleep apnea and those who die within 7 days of presentation will be excluded. Because the denominator in this secondary effectiveness measure includes the patients who are diagnosed with OSA, it is variable and depends on the primary effectiveness outcome of diagnostic rate. | 30-day |
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