Evidence map›Paper›PMID 37358883›Full record

ArticleJMIR human factors2023

Factors Reducing the Use of a Persuasive mHealth App and How to Mitigate Them: Thematic Analysis.

Markku Kekkonen, Eveliina Korkiakangas, Jaana Laitinen, Harri Oinas-Kukkonen

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03648593 (The Effects of Counselling Delivered Through Native Mobile Application on Work Ability and Work Recovery Among Micro-entrepreneurs), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT03648593 naunknown statusnot on this map

The Effects of Counselling Delivered Through Native Mobile Application on Work Ability and Work Recovery Among Micro-entrepreneurs

TypeinterventionalSponsorFinnish Institute of Occupational HealthRan2017 to 2019Enrolled1,256ConditionsWork Ability, Work-Related Condition, Health Behavior, InterventionArmswork recovery intervention, waiting list control
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Markku KekkonenOulu Advanced Research on Service and Information Systems, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland.ORCID https://orcid.org/0000-0001-7192-5914
Eveliina KorkiakangasFinnish Institute of Occupational Health, Oulu, Finland.ORCID https://orcid.org/0000-0002-7939-8749
Jaana LaitinenFinnish Institute of Occupational Health, Oulu, Finland.ORCID https://orcid.org/0000-0001-8158-8173
Harri Oinas-KukkonenOulu Advanced Research on Service and Information Systems, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland.ORCID https://orcid.org/0000-0002-1442-0562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies on which persuasive features may work for different users in health contexts are rare. The participants in this study were microentrepreneurs. We built a persuasive mobile app to help them to recover from work. Representatives of this target group tend to be very busy due to work, which was reflected in their use of the app during the randomized controlled trial intervention. Microentrepreneurs also often have dual roles; they are professionals in their line of work as well as entrepreneurs managing their own business, which may add to their workload.

objectiveThis study aimed to present users' views on the factors that hinder their use of the mobile health app that we developed and how these factors could be mitigated.

methodsWe interviewed 59 users and conducted both data-driven and theory-driven analyses on the interviews.

resultsFactors reducing app use could be divided into 3 categories: use context (problem domain-related issues, eg, the lack of time due to work), user context (user-related issues, eg, concurrent use of other apps), and technology context (technology-related issues, eg, bugs and usability). Due to the nature of the participants' entrepreneurship, which often interferes with personal life, it became clear that designs targeting similar target groups should avoid steep learning curves and should be easy (quick) to use.

conclusionsPersonalized tunneling-guiding the user through a system via personalized solutions-could help similar target groups with similar issues better engage with and keep using health apps because of the easy learning curve. When developing health apps for interventions, background theories should not be interpreted too strictly. Applying theory in practice may require rethinking approaches for adaptation as technology has evolved rapidly and continues to evolve.

trial registrationClinicalTrials.gov NCT03648593; https://clinicaltrials.gov/ct2/show/NCT03648593.

Indexed as

behavior changemHealthmicroentrepreneursmobile healthmobile phonePersuasive Systems Designrandomized controlled trialthematic analysis

Identifiers

PMID37358883
PMCPMC10337416

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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.