Evidence map›Paper›PMID 35994031›Full record

Trial reportFamily practice2023

Implementing a home-based virtual hypertension programme-a pilot feasibility study.

Aditi Gupta, Shellie D Ellis, Crystal Burkhardt, Kate Young, Diego R Mazzotti, Jonathan Mahnken, Noor Abu-El-Rub, Sravani Chandaka, Branden Comfort, Denton Shanks and 7 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Family practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Review
  5. Article
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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

17 authors.

Aditi GuptaDivision of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.ORCID 0000-0002-6286-802X
Shellie D EllisDepartment of Population Health, University of Kansas Medical Center, Kansas City, KS, United States.ORCID 0000-0002-3599-0804
Crystal BurkhardtDepartment of Pharmacy, University of Kansas, Lawrence, KS, United States.ORCID 0000-0003-1362-9097
Kate YoungDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.ORCID 0000-0003-2680-013X
Diego R MazzottiDivision of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.ORCID 0000-0003-3924-9199
Jonathan MahnkenKU Alzheimer's Disease Research 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.ORCID 0000-0001-5260-7734
Sravani ChandakaDivision of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Branden ComfortDepartment 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.
Jennifer WoodwardDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS, United States.
Amber UnreinKU Alzheimer's Disease Research Center, Kansas City, KS, United States.
Heidi AndersonKU Alzheimer's Disease Research Center, Kansas City, KS, United States.
Jennifer LoucksDepartment of Pharmacy, University of Kansas Health System, Kansas City, KS, United States.ORCID 0000-0002-8651-0751
Xing SongHealth Management and Informatics, University of Missouri, Columbia, MO, United States.ORCID 0000-0002-3712-2904
Lemuel R WaitmanHealth Management and Informatics, University of Missouri, Columbia, MO, United States.ORCID 0000-0003-4748-2898
Jeffrey M BurnsKU Alzheimer's Disease Research Center, Kansas City, KS, United States.ORCID 0000-0001-7609-8954

Funding

Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ANDREW K. GODWIN · 2019 to 2026
$21.5M
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
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 R33 AG068483NIA NIH HHS R61 AG068483NIGMS NIH HHS P20 GM130423
6 · The paper itself

Abstract

introductionImplementing a health system-based hypertension programme may lower blood pressure (BP).

methodsWe performed a randomized, controlled pilot study to assess feasibility, acceptability, and safety of a home-based virtual hypertension programme integrating evidence-based strategies to overcome current barriers to BP control. Trained clinical pharmacists staffed the virtual collaborative care clinic (vCCC) to remotely manage hypertension using a BP dashboard and phone "visits" to monitor BP, adherence, side effects of medications, and prescribe anti-hypertensives. Patients with uncontrolled hypertension were identified via electronic health records. Enrolled patients were randomized to either vCCC or usual care for 3 months. We assessed patients' home BP monitoring behaviour, and patients', physicians', and pharmacists' perspectives on feasibility and acceptability of individual programme components.

resultsThirty-one patients (vCCC = 17, usual care = 14) from six physician clinics completed the pilot study. After 3 months, average BP decreased in the vCCC arm (P = 0.01), but not in the control arm (P = 0.45). The vCCC participants measured BP more (9.9 vs. 1.2 per week, P < 0.001). There were no intervention-related adverse events. Participating physicians (n = 6), pharmacists (n = 5), and patients (n = 31) rated all programme components with average scores of >4.0, a pre-specified benchmark. Nine adaptations in vCCC design and delivery were made based on potential barriers to implementing the programme and suggestions.

conclusionA home-based virtual hypertension programme using team-based care, technology, and a logical integration of evidence-based strategies is safe, acceptable, and feasible to intended users. These pilot data support studies to assess the effectiveness of this programme at a larger scale.

Indexed as

HypertensionAntihypertensive AgentsBlood PressureFeasibility StudiesHumansPilot ProjectsAntihypertensive Agentsgeriatricshypertension (high blood pressure)patient adherencepatient educationprimary careself-managementtelemedicine

Identifiers

PMID35994031
PMCPMC10047620

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.