Evidence map›Paper›PMID 41181623›Full record

ArticleF1000Research2022

Effectiveness of a mHealth application on remote monitoring and self-management of persons with hypertension in a coastal taluk of Udupi district: A study protocol for a community-based Cluster Randomized trial.

Prajwal L Salins, Suma Nair, Poornima P Kundapur, Akhilesh K Pandey, Bhageerathy Reshmi, Sabu K Mandapam

Abstract readClinical Trial Protocol
In one paragraph

Article in F1000Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

6 authors.

Prajwal L SalinsHealth Information Management, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID 0000-0001-8722-0150
Suma NairSchool of Public Health, DY Patil University, Navi Mumbai, Maharashtra, 400706, India.
Poornima P KundapurDepartment of Data Science and Computer Applications, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID 0000-0002-8271-524X
Akhilesh K PandeyDepartment of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID 0000-0002-2620-0276
Bhageerathy ReshmiHealth Information Management, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID 0000-0001-9631-6218
Sabu K MandapamHealth Information Management, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID 0000-0002-6673-060X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension is a significant risk factor for cardiovascular disease, contributing to global mortality and disability. Approximately 30% of Indian adults are diagnosed with hypertension. Evidence supports that self-monitoring and blood pressure self-management can lower systolic BP by an average of 3.2 mmHg. mHealth applications facilitate remote monitoring and self-management, yet existing applications in India lack customisation for user needs, limiting their usability. This study aims to develop and evaluate a novel, user-friendly mHealth application tailored to hypertensive individuals. Methods: This study follows an Agile development design, an iterative software development approach that allows continuous feedback and refinement. The research will be conducted in three phases over an anticipated duration of 48 months. Phase 1 (12 months) will involve in-depth interviews and focus group discussions to identify essential features for a customised Android-based mHealth application. Phase 2 (12 months) will involve developing the application using Android Studio following Agile principles. Phase 3 (18 months) will be a community-based cluster randomised trial conducted in 12 villages to evaluate the application's effectiveness. Villages will be randomised into intervention and control groups. Each group will include 118 participants. The intervention group will use the mHealth application, while the control group will follow the standard hypertension management regimen. Villages and participants will be selected based on specific criteria, including population size, availability of healthcare facilities, and smartphone accessibility among hypertensive patients. Results: In the proposed study, if the intervention is helpful, hypertension patients in the community can be encouraged to use the mHealth application. If found effective, this application is anticipated to improve hypertensive patients' health status, knowledge, and self-care approach.Registration: Clinical Trials Registry - India

Indexed as

HypertensionMobile ApplicationsSelf-ManagementTelemedicineAdultFemaleHumansIndiaMaleRandomized Controlled Trials as TopichypertensionmHealthremote monitoringself-management

Identifiers

PMID41181623
PMCPMC12579307

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.