Evidence map›Paper›PMID 40297360›Full record

ArticleDigital health

Using mHealth to support health coaching for patients with hypertension: A case-control study.

Carl Markert, Karim Zahed, Patrick Dunn, Farzan Sasangohar

Erratum issuedAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Carl MarkertDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, Texas, USA.
Karim ZahedDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, Texas, USA.
Patrick DunnCenter for Health Technology and Innovation, American Heart Association, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-3997-8335
Farzan SasangoharDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, Texas, USA.ORCID https://orcid.org/0000-0001-9962-5470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The purpose of this study was to determine if patients with hypertension could better self-manage their disease by using automated mHealth including health coaching. Background: A mobile health (mHealth) coaching app called HyperCoach was developed to help patients self-manage their hypertension. Method: Participants with hypertension were provided a blood pressure monitor and weight scale that communicated with an mHealth app via Bluetooth to deliver health coaching for hypertension. The first 30 days of the study involved a health awareness phase that informed the participants of the daily status of their hypertension. The second 30-day phase initiated an automated health coaching plan developed in collaboration with the American Heart Association. Blood pressure, heart rate, weight, health-related quality of life and health literacy were measured. Results: Thirty-four participants completed the study. Results showed no significant improvements in outcomes during the health awareness phase; however, during the health coaching phase there was a significant reduction of systolic blood pressure from 85.1 to 81.2 mmHg as well as diastolic blood pressure from 85.1 to 81.2 mmHg. Participants' quality of life score significantly increased from 68.4 to 74.6, and hypertension health literacy score increased from 74.7% to 85.2%. Conclusion: Our study found that providing health coaching information in conjunction with daily blood pressure values may encourage individuals with hypertension to change their health-related behaviors. Despite the potential positive impact of digital coaching on global hypertension management, more work is warranted to account for varied cultural and demographic variables. Application: mHealth apps may assist patients with hypertension in self-managing their disease.

Indexed as

hypertensionmentoringMobile applicationsself-managementtelemedicine

Identifiers

PMID40297360
PMCPMC12035198

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.