Evidence map›Paper›PMID 35460334›Full record

ArticleNursing open2022

Identified gamification opportunities for digital patient journey solution during an arthroplasty journey: secondary analysis of patients' interviews.

Johanna Jansson, Elina Laukka, Outi Kanste, Jonna Koivisto, Miia Jansson

Abstract read
In one paragraph

Article in Nursing open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the 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

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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Johanna JanssonResearch Unit of Nursing Science and Health Management, University of Oulu, Oulu, Finland.
Elina LaukkaResearch Unit of Nursing Science and Health Management, University of Oulu, Oulu, Finland.
Outi KansteResearch Unit of Nursing Science and Health Management, University of Oulu, Oulu, Finland.
Jonna KoivistoFaculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.
Miia JanssonResearch Group of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.ORCID 0000-0001-5815-0325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe use of gameful design for supporting health-related behaviours has been one of the major trends in health technology. An opportunity to increase engagement and motivation in a given health behaviour and the possibility of reaching improved outcomes through continued or consistent behaviour could be provided by gamification. This study aimed to identify gamification opportunities for digital patient journey solutions to increase patients' engagement and motivation for health-related behaviour during an arthroplasty journey.

designA secondary analysis.

methodSemistructured interviews were performed among 20 elective primary total hip and knee arthroplasty patients in a single joint-replacement centre in Finland during autumn 2018. NVivo software was used for deductive content analysis. The study was conducted among 20 patients in a single joint replacement centre during 2018.

resultsSeveral opportunities for gamification were identified for digital patient journey solutions, which could be used in advanced care to increase patients' engagement and motivation for health-related behaviour during the arthroplasty journey. These opportunities were identified related to five dimensions: accomplishment, challenge, guided, playfulness and social experience. Clear, scheduled, progressive and personalized goals with an activity tracking, real-time timespan visualization and social networking with peers, support networks and healthcare providers could be provided. Opportunities for competition and immersion were not identified.

Indexed as

Arthroplasty, Replacement, KneeGamificationElective Surgical ProceduresHealth BehaviorHealth PersonnelHumansarthroplastygamificationpatient journey

Identifiers

PMID35460334
PMCPMC9190704

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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.