Evidence map›Paper›PMID 38331381›Full record

ArticleContemporary clinical trials2024

Design of a pragmatic randomized implementation effectiveness trial testing a health system wide hypertension program for older adults.

Aditi Gupta, Hira Chouhdry, Shellie D Ellis, Kate Young, Jonathan Mahnken, Branden Comfort, Denton Shanks, Sheila McGreevy, Courtney Rudy, Tahira Zufer and 14 more

Open access · hybridAbstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 3 institutions in 1 country.

Aditi GuptaDivision 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.
Hira ChouhdryDivision of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Shellie D EllisDepartment of Population Health, University of Kansas Medical Center, Kansas City, KS, United States.
Kate YoungDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Jonathan MahnkenDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Branden ComfortDivision of General Internal Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Denton ShanksDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Sheila McGreevyDivision of General Internal Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Courtney RudyDivision of General Internal Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Tahira ZuferDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Sharissa MabryDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Jennifer WoodwardDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Amber WilsonDepartment of Neurology, University of Kansas Medical Center, Kansas City, KS, United States.
Heidi AndersonDepartment of Neurology, University of Kansas Medical Center, Kansas City, KS, United States.
Jennifer LoucksDepartment of Pharmacy, University of Kansas Health System, Kansas City, KS, United States.
Sravani ChandakaDivision of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Noor Abu-El-RubDivision of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Diego R MazzottiDivision 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.
Xing SongDepartment of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri, Columbia, MO, United States.
Nolan SchmitzDepartment of Pharmacy, University of Kansas Health System, Kansas City, KS, United States.
Molly ConroyDivision 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.
Mark A SupianoGeriatrics 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.
Lemuel R WaitmanDepartment of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri, Columbia, MO, United States.
Jeffrey M BurnsDepartment of Neurology, University of Kansas Medical Center, Kansas City, KS, United States.
University of Kansas Medical Center · USUniversity of Kansas · USUniversity of Missouri · US

Funding

Remote Monitoring and Virtual Collaborative Care for Hypertension Control to Prevent Cognitive DeclineR33AG068483 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BURNS, JEFFREY MURRAY, GUPTA, ADITI · 2021 to 2024
$11.4M
Cognitive Impairment in End Stage Renal DiseaseK23AG055666 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GUPTA, ADITI · 2017 to 2022
$1.2M
Remote Monitoring and Virtual Collaborative Care for Hypertension Control to Prevent Cognitive DeclineR61AG068483 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BURNS, JEFFREY MURRAY, GUPTA, ADITI · 2020 to 2020
$761k
NIA NIH HHS K23 AG055666NIA NIH HHS R33 AG068483NIA NIH HHS R61 AG068483
6 · The paper itself

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 1:1 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.

Indexed as

HypertensionMedicareAgedBlood PressureBlood Pressure DeterminationDelivery of Health CareHumansPragmatic Clinical Trials as TopicRandomized Controlled Trials as TopicUnited StatesAlzheimer's diseaseHypertensionImplementationRemote patient monitoringSMBP

Identifiers

PMID38331381
PMCPMC11774317
OpenAlexW4391605231

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.