Evidence map›Paper›PMID 35499866›Full record

ArticleJMIR human factors2022

Persuasive Design Techniques and App Design Recommendations to Improve Health Workforce Capability in Rural Health Professionals: What Do Users Want and How Does an App Help?

Sabrina Pit, Robyn Ramsden, Aaron Jh Tan, Kristy Payne, James Barr, Benjamin Eames, Mike Edwards, Richard Colbran

Abstract read
In one paragraph

Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

4 · The record

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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.

Sabrina PitNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID https://orcid.org/0000-0003-2410-0703
Robyn RamsdenNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID https://orcid.org/0000-0002-0418-9280
Aaron Jh TanNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID https://orcid.org/0000-0003-3904-058X
Kristy PayneNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID https://orcid.org/0000-0001-9449-626X
James BarrNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID https://orcid.org/0000-0001-9011-6434
Benjamin EamesNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID https://orcid.org/0000-0003-3721-4275
Mike EdwardsNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID https://orcid.org/0000-0002-6016-5785
Richard ColbranNew South Wales Rural Doctors Network, Hamilton, Australia.ORCID https://orcid.org/0000-0002-0950-4358

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth professionals' perceptions of persuasive design techniques for use in technological solutions to improve health workforce capability have not been previously explored.

objectiveThis study aims to explore rural health professionals' perceptions of health workforce capability and persuasive design techniques; and translate these into recommendations for designing a health workforce capability app to increase their impact and usefulness.

methodsQualitative interviews with 13 rural health professionals were conducted. Subsequently, 32 persuasive techniques were used as a framework to deductively analyze the data. Persuasive design technique domains were Primary Task Support, Dialog Support, System Credibility Support, Social Support, and Cialdini's Principles of Persuasion.

resultsPersuasive design techniques can be applied across the factors that influence health workforce capability including health and personal qualities; competencies and skills; values, attitudes, and motivation; and factors that operate outside of work and at the team, organizational, and labor market levels. The majority of the 32 persuasive design techniques were reflected in the data from the interviews and led to recommendations as to how these could be translated into practice, with the exception of scarcity. Many suggestions and persuasive design techniques link back to the need for tailored and localized solutions such as the need for country-specific-based evidence, the wish for localized communities of practice, learning from other rural health professionals, and referral pathways to other clinicians. Participants identified how persuasive design techniques can optimize the user experience to help meet rural health professionals needs for more efficient systems to improve patient access to care, quality care, and to enable working in interprofessional team-based care. Social inclusion plays a vital role for health professionals, indicating the importance of the Social Support domain of persuasive techniques. Overall, health professionals were open to self-monitoring of their work performance and some professionals used wearables to monitor their health.

conclusionsRural health professionals' perceptions of health workforce capability informed which persuasive design techniques can be used to optimize the user experience of an app. These were translated into recommendations for designing a health workforce capability app to increase likelihood of adoption. This study has also contributed to the further validation of the Persuasive Systems Design model through empirically aligning elements of the model to increase persuasive system content and functionality with real-world applied data, in this case the health workforce capability of rural health professionals. Our findings confirm that these techniques can be used to develop a future prototype of an app that may assist health professionals in improving or maintaining their health workforce capability which in turn may increase recruitment and retention in rural areas. Health professionals need to be central during the design phase. Interventions are needed to provide a supportive environment to rural and remote health professionals to increase their rural health workforce capability.

Indexed as

behavior changecapabilitycareerdialog supportdigital healthemploymenthealthhealth applicationhealth professionalhealth workforcemHealthmobile appsmobile healthpersuasive strategiesreviewruralsocial supporttask supportuser experiencewellnessworkforce planning

Identifiers

PMID35499866
PMCPMC9112088

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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.