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Design of a pragmatic randomized implementation effectiveness trial testing a health system wide hypertension program for older adults.
Gupta, Aditi; Chouhdry, Hira; Ellis, Shellie D; Young, Kate; Mahnken, Jonathan; Comfort, Branden; Shanks, Denton; McGreevy, Sheila; Rudy, Courtney; Zufer, Tahira; Mabry, Sharissa; Woodward, Jennifer; Wilson, Amber; Anderson, Heidi; Loucks, Jennifer; Chandaka, Sravani; Abu-El-Rub, Noor; Mazzotti, Diego R; Song, Xing; Schmitz, Nolan; Conroy, Molly; Supiano, Mark A; Waitman, Lemuel R; Burns, Jeffrey M.
Afiliação
  • Gupta A; Division of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States; Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States. Electronic address: agupta@kumc.edu.
  • Chouhdry H; Division of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
  • Ellis SD; Department of Population Health, University of Kansas Medical Center, Kansas City, KS, United States.
  • Young K; Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
  • Mahnken J; Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
  • Comfort B; Division of General Internal Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
  • Shanks D; Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
  • McGreevy S; Division of General Internal Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
  • Rudy C; Division of General Internal Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
  • Zufer T; Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
  • Mabry S; Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
  • Woodward J; Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
  • Wilson A; Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States.
  • Anderson H; Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States.
  • Loucks J; Department of Pharmacy, University of Kansas Health System, Kansas City, KS, United States.
  • Chandaka S; Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
  • Abu-El-Rub N; Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
  • Mazzotti DR; Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States; Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
  • Song X; Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri, Columbia, MO, United States.
  • Schmitz N; Department of Pharmacy, University of Kansas Health System, Kansas City, KS, United States.
  • Conroy M; Division of General Internal Medicine, Department of Internal Medicine, University of Utah Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, United States.
  • Supiano MA; Geriatrics Division, Department of Internal Medicine, University of Utah Spencer Fox Eccles School of Medicine and Center on Aging, University of Utah, Salt Lake City, UT, United States.
  • Waitman LR; Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri, Columbia, MO, United States.
  • Burns JM; Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States.
Contemp Clin Trials ; 138: 107466, 2024 03.
Article em En | MEDLINE | ID: mdl-38331381
ABSTRACT
Hypertension control remains poor. Multiple barriers at the level of patients, providers, and health systems interfere with implementation of hypertension guidelines and effective lowering of BP. Some strategies such as self-measured blood pressure (SMBP) and remote management by pharmacists are safe and effectively lower BP but have not been effectively implemented. In this study, we combine such evidence-based strategies to build a remote hypertension program and test its effectiveness and implementation in large health systems. This randomized, controlled, pragmatic type I hybrid implementation effectiveness trial will examine the virtual collaborative care clinic (vCCC), a hypertension program that integrates automated patient identification, SMBP, remote BP monitoring by trained health system pharmacists, and frequent patient-provider communication. We will randomize 1000 patients with uncontrolled hypertension from two large health systems in a 11 ratio to either vCCC or control (usual care with education) groups for a 2-year intervention. Outcome measures including BP measurements, cognitive function, and a symptom checklist will be completed during study visits. Other outcome measures of cardiovascular events, mortality, and health care utilization will be assessed using Medicare data. For the primary outcome of proportion achieving BP control (defined as systolic BP < 130 mmHg) in the two groups, we will use a generalized linear mixed model analysis. Implementation outcomes include acceptability and feasibility of the program. This study will guide implementation of a hypertension program within large health systems to effectively lower BP.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicare / Hipertensão Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicare / Hipertensão Idioma: En Ano de publicação: 2024 Tipo de documento: Article