Evidence map›Paper›PMID 29685868›Full record

ArticleJMIR mHealth and uHealth2018

Development of a Healthy Lifestyle Mobile App for Overweight Pregnant Women: Qualitative Study.

Ying Lau, Ling Jie Cheng, Claudia Chi, Cammy Tsai, Kai Wen Ong, Sarah Su Tin Ho-Lim, Wei Wang, Kian-Lee Tan

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Person-Generated Health Data in Women's Health: Scoping Review.Journal of medical Internet research · 2024
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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

8 authors.

Ying LauAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-8289-3441
Ling Jie ChengDepartment of Nursing, Khoo Teck Puat Hospital, Yishun Health Campus, National Healthcare Group, Singapore, Singapore.ORCID http://orcid.org/0000-0002-5338-578X
Claudia ChiDepartment of Obstetrics & Gynecology, National University Hospital, Singapore, Singapore.ORCID http://orcid.org/0000-0003-1185-715X
Cammy TsaiDepartment of Rehabilitation, National University Hospital, Singapore, Singapore.ORCID http://orcid.org/0000-0003-1155-9152
Kai Wen OngDepartment of Dietetics, National University Hospital, Singapore, Singapore.ORCID http://orcid.org/0000-0002-0762-9982
Sarah Su Tin Ho-LimDepartment of Obstetrics & Gynecology, National University Hospital, Singapore, Singapore.ORCID http://orcid.org/0000-0003-0472-6346
Wei WangDepartment of Computer Science, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-5367-7056
Kian-Lee TanDepartment of Computer Science, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-9315-4057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile apps are becoming an increasingly ubiquitous platform for delivery of health behavior interventions among overweight and obese perinatal women. However, only a few methodological guidelines on integrating theory, evidence, and qualitative research for their designs are available.

objectiveThe aim of this study was to develop a theory-based, evidence-driven, and user-centered healthy lifestyle app targeting overweight and obese multiethnic pregnant women.

methodsThis paper illustrates how intervention development may be enriched with theoretical basis, systematic review, and qualitative study. An individual face-to-face interview was performed to incorporate the user's involvement in the design. These interviews were audiotaped and transcribed. Thematic analysis technique was used for emerging themes.

resultsIntegrated concepts of social cognitive theory of self-regulation, self-regulation model, and strength model of self-control were selected as bases of the intervention. Evidence from our systematic review and meta-analysis provided the strongest evidence for the development of intervention. We invited 16 obese or overweight pregnant women to participate in a semistructured interview . The following key themes emerged: content, platform, interactivity, format, and functionality. Apps are a favorable technology platform for healthy diet advice, appropriate physical exercise, and weight management because they are user-friendly and convenient. The app used in this study contains culture-specific, pregnancy-related, and credible contents, including educational, professional and peer support, and self-monitoring domains. The design should include aesthetic appeal, visualized features, and interactive multimedia.

conclusionsA 3-step process integrating theoretical basis, evidence from systematic review, and research findings from target users can be considered a guide for future app development.

Indexed as

mobile appsobesityoverweight

Identifiers

PMID29685868
PMCPMC5938571

What OpenQuestion holds

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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.