Addressing Sleep Apnea Post-Stroke/TIA

NCT ID: NCT04322162

Last Updated: 2024-04-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Clinical Phase

NA

Total Enrollment

6 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-04-02

Study Completion Date

2024-07-31

Brief Summary

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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.

Detailed Description

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Approximately 11,000 Veterans present to a VAMC annually with an acute ischemic stroke or TIA. The cornerstone of secondary stroke/TIA prevention includes delivering timely, guideline-concordant vascular risk factor management. Over the past decade, OSA has been recognized as a potent, underdiagnosed, and inadequately treated cerebrovascular risk factor. OSA is very common among patients with stroke/TIA with a prevalence of 60-80%. Despite being highly prevalent, 70-80% of patients with OSA are neither diagnosed nor treated. Untreated OSA has been associated with poor outcomes among patients with cerebrovascular disease including higher mortality and worse functional status. The mainstay of OSA therapy is positive airway pressure (PAP). PAP reduces recurrent vascular events, improves neurological symptoms and functional status among stroke/TIA patients with OSA. The evidence favoring neurological recovery is strongest when interventions are applied early post-stroke/TIA. Guidelines recommend diagnosing and treating OSA for stroke and TIA patients; however, within VHA, very few stroke or TIA patients receive OSA screening. This guideline recommendation was informed in part by clinical trials utilizing an acute OSA assessment protocol developed and implemented by the investigators' group. To address the observed gap in care, the investigators propose a Hybrid Type I, randomized, stepped-wedge trial at 6 VAMCs to increase the rate of timely, guideline-concordant diagnosis and treatment of OSA among Veterans with ischemic stroke/TIA and thereby reduce recurrent vascular events and hospital readmissions. The investigators will identify matched control sites for each ASAP implementation site to examine temporal trends in outcomes among non-intervention sites. For example, the investigators will use administrative data to examine the use of polysomnography across stroke/TIA patients in the VA system and compare changes in matched controls versus the intervention sites on the diagnostic rate. The same adjustment approach will be used for ASAP intervention sites and for control sites.

Conditions

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Ischemic Stroke Transient Ischemic Attack (TIA) Obstructive Sleep Apnea

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

SEQUENTIAL

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Study Groups

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Active implementation - Wave 1 (First and Second Sites)

This four-year stepped-wedge evaluation includes a total of 6 sites. Active implementation is initiated in 3 waves, each of which includes 2 sites. The project involves two phases at each of the 6 sites: a variable number of 7-month data periods during baseline period (three 7-month periods for Wave 1 sites, four 7-month data periods for Wave 2 sites, five 7-month data periods for Wave 3 sites), three 7-month data periods in active implementation phase for each wave. Wave 1 and Wave 2 sites will also each have one 7-month period of sustainability. The stepped-wedge design allows for 6 mutually exclusive, 7-month data periods. The baseline data period is the time prior to the date of the baseline site visit. The active implementation data period extends 21 months after the site visit. The stepped-wedge design allows site-level estimates of proportions on six different cross-sectional samples. Investigators will have repeated information on each site. "Arm" 1 corresponds to Wave 1.

Group Type EXPERIMENTAL

ASAP Intervention Quality Improvement Protocol

Intervention Type OTHER

The intervention program includes: (1) a systems redesign Virtual Collaborative, and; (2) data monitoring and is designed to aid each of the 6 participating VAMCs in developing, implementing, and evaluating the implementation of an acute OSA testing and treatment protocol for ischemic stroke/TIA patients. The sites will choose a diagnostic strategy (i.e., unattended polysomnography \[PSG\]/home sleep test \[HST\], in-laboratory PSG, direct to auto-titrating \[auto\]-PAP) and a therapeutic strategy (i.e., in-laboratory PAP titration, auto-PAP). The intervention will employ 3 implementation strategies: (1) local adaptation; (2) external facilitation, and; (3) audit and feedback.

Active implementation - Wave 2 (Third and Fourth Sites)

This four-year stepped-wedge evaluation includes a total of 6 sites. Active implementation is initiated in 3 waves, each of which includes 2 sites. The project involves two phases at each of the 6 sites: a variable number of 7-month data periods during baseline period (three 7-month periods for Wave 1 sites, four 7-month data periods for Wave 2 sites, five 7-month data periods for Wave 3 sites), three 7-month data periods in active implementation phase for each wave. Wave 1 and Wave 2 sites will also each have one 7-month period of sustainability. The stepped-wedge design allows for 6 mutually exclusive, 7-month data periods. The baseline data period is the time prior to the date of the baseline site visit. The active implementation data period extends 21 months after the site visit. The stepped-wedge design allows site-level estimates of proportions on six different cross-sectional samples. Investigators will have repeated information on each site. "Arm" 2 corresponds to Wave 2.

Group Type EXPERIMENTAL

ASAP Intervention Quality Improvement Protocol

Intervention Type OTHER

The intervention program includes: (1) a systems redesign Virtual Collaborative, and; (2) data monitoring and is designed to aid each of the 6 participating VAMCs in developing, implementing, and evaluating the implementation of an acute OSA testing and treatment protocol for ischemic stroke/TIA patients. The sites will choose a diagnostic strategy (i.e., unattended polysomnography \[PSG\]/home sleep test \[HST\], in-laboratory PSG, direct to auto-titrating \[auto\]-PAP) and a therapeutic strategy (i.e., in-laboratory PAP titration, auto-PAP). The intervention will employ 3 implementation strategies: (1) local adaptation; (2) external facilitation, and; (3) audit and feedback.

Active implementation - Wave 3 (Fifth and Sixth Sites)

This four-year stepped-wedge evaluation includes a total of 6 sites. Active implementation is initiated in 3 waves, each of which includes 2 sites. The project involves two phases at each of the 6 sites: a variable number of 7-month data periods during baseline period (three 7-month periods for Wave 1 sites, four 7-month data periods for Wave 2 sites, five 7-month data periods for Wave 3 sites), three 7-month data periods in active implementation phase for each wave. Wave 1 and Wave 2 sites will also each have one 7-month period of sustainability. The stepped-wedge design allows for 6 mutually exclusive, 7-month data periods. The baseline data period is the time prior to the date of the baseline site visit. The active implementation data period extends 21 months after the site visit. The stepped-wedge design allows site-level estimates of proportions on six different cross-sectional samples. Investigators will have repeated information on each site. "Arm" 3 corresponds to Wave 3.

Group Type EXPERIMENTAL

ASAP Intervention Quality Improvement Protocol

Intervention Type OTHER

The intervention program includes: (1) a systems redesign Virtual Collaborative, and; (2) data monitoring and is designed to aid each of the 6 participating VAMCs in developing, implementing, and evaluating the implementation of an acute OSA testing and treatment protocol for ischemic stroke/TIA patients. The sites will choose a diagnostic strategy (i.e., unattended polysomnography \[PSG\]/home sleep test \[HST\], in-laboratory PSG, direct to auto-titrating \[auto\]-PAP) and a therapeutic strategy (i.e., in-laboratory PAP titration, auto-PAP). The intervention will employ 3 implementation strategies: (1) local adaptation; (2) external facilitation, and; (3) audit and feedback.

Interventions

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ASAP Intervention Quality Improvement Protocol

The intervention program includes: (1) a systems redesign Virtual Collaborative, and; (2) data monitoring and is designed to aid each of the 6 participating VAMCs in developing, implementing, and evaluating the implementation of an acute OSA testing and treatment protocol for ischemic stroke/TIA patients. The sites will choose a diagnostic strategy (i.e., unattended polysomnography \[PSG\]/home sleep test \[HST\], in-laboratory PSG, direct to auto-titrating \[auto\]-PAP) and a therapeutic strategy (i.e., in-laboratory PAP titration, auto-PAP). The intervention will employ 3 implementation strategies: (1) local adaptation; (2) external facilitation, and; (3) audit and feedback.

Intervention Type OTHER

Eligibility Criteria

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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 \[e.g., inability to clear secretions\]
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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VA Office of Research and Development

FED

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Jason Jonathon Sico, MD MHS

Role: PRINCIPAL_INVESTIGATOR

VA Connecticut Healthcare System West Haven Campus, West Haven, CT

Dawn M. Bravata, MD

Role: PRINCIPAL_INVESTIGATOR

Richard L. Roudebush VA Medical Center, Indianapolis, IN

Locations

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VA Connecticut Healthcare System West Haven Campus, West Haven, CT

West Haven, Connecticut, United States

Site Status

Richard L. Roudebush VA Medical Center, Indianapolis, IN

Indianapolis, Indiana, United States

Site Status

Countries

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United States

References

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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/s12883-020-1627-5.

Reference Type RESULT
PMID: 32005185 (View on PubMed)

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 Set. Neurology. 2020 Jun 2;94(22):982-990. doi: 10.1212/WNL.0000000000009525. Epub 2020 May 12. No abstract available.

Reference Type RESULT
PMID: 32398356 (View on PubMed)

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.

Reference Type RESULT
PMID: 32467120 (View on PubMed)

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. Epub 2022 Mar 12.

Reference Type RESULT
PMID: 35292287 (View on PubMed)

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):e061469. doi: 10.1136/bmjopen-2022-061469.

Reference Type RESULT
PMID: 35672067 (View on PubMed)

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;11:20503121231169388. doi: 10.1177/20503121231169388. eCollection 2023.

Reference Type RESULT
PMID: 37152838 (View on PubMed)

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 Sep;32(9):107255. doi: 10.1016/j.jstrokecerebrovasdis.2023.107255. Epub 2023 Jul 18.

Reference Type RESULT
PMID: 37473533 (View on PubMed)

Other Identifiers

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1I01HX002324-01A2

Identifier Type: NIH

Identifier Source: secondary_id

View Link

IIR 16-211

Identifier Type: -

Identifier Source: org_study_id

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