Evidence map›Paper›PMID 42132169›Full record

Trial reportJournal of the American Heart Association2026

Determinants of Successful Implementation: A Mixed-Methods Evaluation of a Team-Based Telehealth Hypertension Management Program for Underserved Patients.

Sunit Chhetri, Srista Manandhar, Austin L Seals, Justin Kramer, Yashashwi Pokharel

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05424744 (Telemedicine Management of Hypertension), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

NCT05424744 nacompletednot on this map

Telemedicine Management of Hypertension: A Pre-Implementation Study

TypeinterventionalSponsorWake Forest University Health SciencesRan2023 to 2024Enrolled20ConditionsHypertensionArmsTelemedicine Management of Hypertension
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sunit Chhetri *Departments of Internal and Cardiovascular Medicine, Atrium Health Wake Forest Baptist Wake Forest University School of Medicine Winston-Salem NC USA.ORCID 0000-0003-4704-0272
Srista Manandhar *Departments of Internal and Cardiovascular Medicine, Atrium Health Wake Forest Baptist Wake Forest University School of Medicine Winston-Salem NC USA.ORCID 0000-0001-8240-2254
Austin L SealsDepartments of Internal and Cardiovascular Medicine, Atrium Health Wake Forest Baptist Wake Forest University School of Medicine Winston-Salem NC USA.ORCID 0009-0006-7579-1777
Justin KramerDepartment of Family and Community Medicine, Atrium Health Wake Forest Baptist Wake Forest University School of Medicine Winston-Salem NC USA.ORCID 0000-0003-3791-1548
Yashashwi PokharelDepartments of Internal and Cardiovascular Medicine, Atrium Health Wake Forest Baptist Wake Forest University School of Medicine Winston-Salem NC USA.ORCID 0000-0002-9338-2073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension management using home blood pressure monitoring-guided pharmacotherapy is more effective than clinic-based care, but the benefit is attenuated in underserved patients. We evaluated implementation determinants of a team-based telehealth hypertension management program providing home blood pressure monitoring-guided pharmacotherapy and self-management and social support.

methodsWe used Exploration, Preparation, Implementation and Sustainment, and Health Equity Implementation Frameworks for semistructured interviews and inductive/deductive coding using thematic analysis of qualitative data and quantitative analysis to evaluate team-based telehealth hypertension management program implementation facilitators, barriers, acceptability, appropriateness, and feasibility. We purposefully sampled 20 patients with hypertension and 16 clinic key players from 2 safety-net clinics in North Carolina. Quantitative measures were Acceptability of Intervention Measure, Intervention Appropriateness Measure, Feasibility of Intervention Measure, Patient Assessment of Chronic Illness Care, Organizational Readiness for Implementing Change (all measures' score ranged 1-5; higher score is better). We used concurrent embedded mixed methods (qualitative + quantitative) for convergence and complementarity.

resultsFive qualitative themes emerged around (1) staffing barriers, coordinated teamwork, and friendly study tools; (2) the program's patient and provider centeredness; (3) ease of home blood pressure monitoring; (4) personalized, comprehensive self-management calls; and (5) social support. Patients and clinic key players found the program acceptable (mean±SD, 4.42±0.84 and 4.56±0.59), appropriate (4.42±0.86 and 4.61±0.50), and feasible (4.40±0.89 and 4.44±0.53), respectively. Patient Assessment of Chronic Illness Care and Organizational Readiness for Implementing Change scores were 4.22±1.01 and 4.11±0.78, respectively.

conclusionsImplementing a team-based telehealth hypertension management program depends on its tailoring to patients and providers and having their endorsement; a user-friendly and trust-promoting model; and having a viable financial plan. Future studies should assess clinical and cost effectiveness of the program. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT05424744.

Indexed as

Antihypertensive AgentsHypertensionPatient Care TeamTelemedicineAgedBlood Pressure Monitoring, AmbulatoryDigital HealthFeasibility StudiesFemaleHumansMaleMedically Underserved AreaMiddle AgedNorth CarolinaProgram EvaluationQualitative ResearchAntihypertensive Agentsimplementationteam‐based caretelehealthunderserved patients

Identifiers

PMID42132169
PMCPMC13279359

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Registered trials

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.