Evidence map›Paper›PMID 37006589›Full record

ReviewFrontiers in public health2023

Design and development of a smartphone app for hypertension management: An intervention mapping approach.

Elton H Lobo, Chandan Karmakar, Mohamed Abdelrazek, Jemal Abawajy, Clara K Chow, Yuxin Zhang, Muhammad Ashad Kabir, Reza Daryabeygi, Ralph Maddison, Sheikh Mohammed Shariful Islam

Open access · goldFull text readReview
In one paragraph

Review in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Elton H LoboInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
Chandan KarmakarSchool of Information Technology, Deakin University, Geelong, VIC, Australia.
Mohamed AbdelrazekSchool of Information Technology, Deakin University, Geelong, VIC, Australia.
Jemal AbawajySchool of Information Technology, Deakin University, Geelong, VIC, Australia.
Clara K ChowWestmead Applied Research Centre, University of Sydney, Sydney, NSW, Australia.
Yuxin ZhangInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
Muhammad Ashad KabirSchool of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW, Australia.
Reza DaryabeygiInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
Ralph MaddisonInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
Sheikh Mohammed Shariful IslamInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
Deakin University · AUCharles Sturt University · AUUniversity of Melbourne · AUWestmead Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several research studies have demonstrated the potential of mobile health apps in supporting health management. However, the design and development process of these apps are rarely presented. Objective: We present the design and development of a smartphone-based lifestyle app integrating a wearable device for hypertension management. Methods: We used an intervention mapping approach for the development of theory- and evidence-based intervention in hypertension management. This consisted of six fundamental steps: needs assessment, matrices, theoretical methods and practical strategies, program design, adoption and implementation plan, and evaluation plan. To design the contents of the intervention, we performed a literature review to determine the preferences of people with hypertension (Step 1) and necessary objectives toward the promotion of self-management behaviors (Step 2). Based on these findings, we implemented theoretical and practical strategies in consultation with stakeholders and researchers (Steps 3), which was used to identify the functionality and develop an mHealth app (Step 4). The adoption (Step 5) and evaluation (Step 6) of the mHealth app will be conducted in a future study. Results: Through the needs analysis, we identified that people with hypertension preferred having education, medication or treatment adherence, lifestyle modification, alcohol and smoking cessation and blood pressure monitoring support. We utilized MoSCoW analysis to consider four key elements, i.e., education, medication or treatment adherence, lifestyle modification and blood pressure support based on past experiences, and its potential benefits in hypertension management. Theoretical models such as (i) the information, motivation, and behavior skills model, and (ii) the patient health engagement model was implemented in the intervention development to ensure positive engagement and health behavior. Our app provides health education to people with hypertension related to their condition, while utilizing wearable devices to promote lifestyle modification and blood pressure management. The app also contains a clinician portal with rules and medication lists titrated by the clinician to ensure treatment adherence, with regular push notifications to prompt behavioral change. In addition, the app data can be reviewed by patients and clinicians as needed. Conclusions: This is the first study describing the design and development of an app that integrates a wearable blood pressure device and provides lifestyle support and hypertension management. Our theory-driven intervention for hypertension management is founded on the critical needs of people with hypertension to ensure treatment adherence and supports medication review and titration by clinicians. The intervention will be clinically evaluated in future studies to determine its effectiveness and usability.

Indexed as

HypertensionMobile ApplicationsSelf-ManagementSmoking CessationHealth BehaviorHumansapplicationsblood pressuredigital healthmobile phonesmartphone

Identifiers

PMID37006589
PMCPMC10050573
OpenAlexW4324376994

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read5
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.