Evidence map›Paper›PMID 35129447›Full record

ArticleJMIR mHealth and uHealth2022

Persuasive Design Solutions for a Sustainable Workforce: Review of Persuasive Apps for Real-Time Capability Support for Rural Health Care Professionals.

Sabrina Winona Pit, Aaron J H Tan, Robyn Ramsden, Kristy Payne, Winona Freihaut, Oliver Hayes, Benjamin Eames, Mike Edwards, Richard Colbran

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

9 authors.

Sabrina Winona PitNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID 0000-0003-2410-0703
Aaron J H TanNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID 0000-0003-3904-058X
Robyn RamsdenNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID 0000-0002-0418-9280
Kristy PayneNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID 0000-0001-9449-626X
Winona FreihautNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID 0000-0002-1601-1180
Oliver HayesNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID 0000-0002-1280-8889
Benjamin EamesNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID 0000-0003-3721-4275
Mike EdwardsNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID 0000-0002-6016-5785
Richard ColbranNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID 0000-0002-0950-4358

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a need to further investigate how persuasive design principles can change rural health professionals' behaviors to look after their own health workforce capability. Several theories are used when developing apps to persuade people to change behavior, including the Persuasive System Design Model, consisting of primary task, dialogue, system credibility, and social support categories, and Cialdini's principles of persuasion. These have not been analyzed yet in the field of health workforce capability.

objectiveThis study aims to determine the persuasive design techniques used in capability building-related apps and to provide recommendations for designing a health workforce app to increase their persuasiveness.

methodsA Python script was used to extract a total of 3060 apps from Google Play. Keywords centered around health workforce capability elements. App inclusion criteria were as follows: been updated since 2019, rated by users on average 4 and above, and more than 100,000 downloads. Next, 2 experts reviewed whether 32 persuasive strategies were used in the selected apps, and these were further analyzed by capability categories: competencies and skills, health and personal qualities, values and attitudes, and work organization.

resultsIn all, 53 mobile apps were systematically reviewed to identify the persuasive design techniques. The most common were surface credibility (n=48, 90.6%) and liking (n=48), followed by trustworthiness (n=43, 81.1%), reminders (n=38, 71.7%), and suggestion (n=30, 56.6%). The techniques in the social support domain were the least used across the different apps analyzed for health workforce capability, whereas those in the primary task support domain were used most frequently. The recommendations reflect learnings from our analysis. These findings provided insight into mobile app design principles relevant to apps used in improving health workforce capability.

conclusionsOur review showed that there are many persuasive design techniques that can assist in building health workforce capability. Additionally, several apps are available in the market that can assist in improving health workforce capability. There is, however, a specific lack of digital, real-time support to improve health workforce capability. Social support strategies through using social support persuasive design techniques will need to be integrated more prominently into a health workforce capability app. An app to measure and monitor health workforce capability scores can be used in conjunction with direct real-world person and real-time support to discuss and identify solutions to improve health workforce capability for rural and remote health professionals who are at high risk of burnout or leaving the rural health workforce.

Indexed as

Mobile ApplicationsPersuasive CommunicationHealth PersonnelHumansSocial SupportWorkforcebehavior changecapabilitycareeremploymenthealthhealth workforcemobile appspersuasive strategiesreviewruralwellnessworkforce planning

Identifiers

PMID35129447
PMCPMC8861870

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.