Evidence map›Paper›PMID 35315777›Full record

SynthesisJMIR mHealth and uHealth2022

Persuasive Technology in an mHealth App Designed for Pelvic Floor Muscle Training Among Women: Systematic Review.

Aida Jaffar, Chai-Eng Tan, Sherina Mohd-Sidik, Novia Admodisastro, Felicity Goodyear-Smith

2 registry-linked trialsOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% 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.

NCT04762433 nacompletednot on this map

Parallel-Group, Randomised Single-centred, Single-blind, Pilot and Feasibility Study for KEPT-app Trial: Study Protocol

TypeinterventionalSponsorUniversiti Putra MalaysiaRan2021 to 2021Enrolled26ConditionsPregnancy Related, Urinary IncontinenceArmsKegel Exercise Pregnancy Training - app
NCT05909969 nacompletednot on this mapstarted 2023, after this paper: background citation

Development and Validation of the Pelvi-Fit App for Women With Urinary Incontinence.

TypeinterventionalSponsorRiphah International UniversityRan2023 to 2023Enrolled20ConditionsUrinary IncontinenceArmsPelvi-Fit app Training, Control
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Up for the tackle? The pelvic floor and rugby. A review.European journal of sport science · 2024
    Review
  3. Article
  4. Article
  5. Article
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 at 2 institutions in 2 countries.

Aida JaffarDepartment of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia.ORCID 0000-0003-2266-9509
Chai-Eng TanDepartment of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia.ORCID 0000-0001-7981-9366
Sherina Mohd-SidikDepartment of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia.ORCID 0000-0001-6754-6145
Novia AdmodisastroSoftware Engineering & Information System Department, Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Selangor, Malaysia.ORCID 0000-0002-1715-946X
Felicity Goodyear-SmithDepartment of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-6657-9401
Universiti Putra Malaysia · MYUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPelvic floor muscle training (PFMT) is one of the first-line treatments for stress urinary incontinence among pregnant women. Mobile health (mHealth) technology is potentially effective for delivering PFMT to pregnant women. Persuasive technology in the development of such mobile apps may facilitate behavior change by improving adherence to the exercises. The Capability, Opportunity, and Motivation-Behavior (COM-B) model is potentially useful in selecting the appropriate interventions to be incorporated into the apps.

objectiveThis review of mHealth apps for PFMT aims to describe the principles of persuasion used for each app and to propose mHealth app design features based on the COM-B model.

methodsA systematic literature search was conducted to answer three main research questions: what are the available mHealth apps for PFMT in the published literature, what persuasive strategies were used in their studies how were they mapped to the COM-B model, and how effective were the selected persuasive strategies for PFMT adherence? We searched PubMed, CINAHL, Web of Science, Scopus, and local Malaysian databases such as MyCite and MyMedR for articles reporting mHealth apps used for the delivery of PFMT. We included original articles reporting experimental and cross-sectional studies, including pilot or feasibility trials. Systematic and narrative reviews were excluded. Narrative and thematic syntheses were conducted on the eligible articles based on the research questions. The Cochrane risk of bias tool and the Risk of Bias Assessment Tool for Non-randomized Studies were used to assess study bias.

resultsOf the 169 records from the initial search, 10 (5.9%) articles meeting the selection criteria were included in this review. There were 8 mHealth apps designed for the delivery of PFMT. The Tät, which used 3 categories of persuasive system design, improved PFMT adherence and was cost-effective. Only 1 app, the iBall app, used all categories of persuasive system design, by including social support such as "competition" in its design. The Diário Saúde app was the only app developed using operant conditioning. All apps incorporated Tailoring and Expertise as part of their PSD strategies. Only 3 apps, the Diário Saúde, Tät, and Pen Yi Kang demonstrated improved PFMT adherence.

conclusionsPersuasive technology used in mobile apps may target desired behavior change more effectively. The persuasive system design can be mapped to the COM-B model to explain its effectiveness on behaviour change outcomes.

Indexed as

Mobile ApplicationsTelemedicineCross-Sectional StudiesFemaleHumansPelvic FloorPersuasive CommunicationPregnancyTechnologycapability, opportunity, and motivation–behavior modelmHealth appmobile phonepelvic floor muscle trainingpersuasive technologyurinary incontinence

Identifiers

PMID35315777
PMCPMC8984823
OpenAlexW4210799162

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.