Evidence map›Paper›PMID 35289759›Full record

ArticleJMIR human factors2022

Personas for Better Targeted eHealth Technologies: User-Centered Design Approach.

Iris Ten Klooster, Jobke Wentzel, Floor Sieverink, Gerard Linssen, Robin Wesselink, Lisette van Gemert-Pijnen

Abstract read
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Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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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3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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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

6 authors.

Iris Ten KloosterFaculty of Behavioural, Management and Social Sciences, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0003-0508-033X
Jobke WentzelFaculty of Behavioural, Management and Social Sciences, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0003-3897-4436
Floor SieverinkCarintreggeland, Hengelo, Netherlands.ORCID https://orcid.org/0000-0002-7018-2634
Gerard LinssenHospital Group Twente, Almelo and Hengelo, Netherlands.ORCID https://orcid.org/0000-0002-3339-1955
Robin WesselinkLocation AMC, Amsterdam University Medical Centers, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0001-5671-2531
Lisette van Gemert-PijnenFaculty of Behavioural, Management and Social Sciences, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0001-6511-7240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe full potential of eHealth technologies to support self-management and disease management for patients with chronic diseases is not being reached. A possible explanation for these lacking results is that during the development process, insufficient attention is paid to the needs, wishes, and context of the prospective end users. To overcome such issues, the user-centered design practice of creating personas is widely accepted to ensure the fit between a technology and the target group or end users throughout all phases of development.

objectiveIn this study, we integrate several approaches to persona development into the Persona Approach Twente to attain a more holistic and structured approach that aligns with the iterative process of eHealth development.

methodsIn 3 steps, a secondary analysis was carried out on different parts of the data set using the Partitioning Around Medoids clustering method. First, we used health-related electronic patient record data only. Second, we added person-related data that were gathered through interviews and questionnaires. Third, we added log data.

resultsIn the first step, 2 clusters were found, with average silhouette widths of 0.12 and 0.27. In the second step, again 2 clusters were found, with average silhouette widths of 0.08 and 0.12. In the third step, 3 clusters were identified, with average silhouette widths of 0.09, 0.12, and 0.04.

conclusionsThe Persona Approach Twente is applicable for mixed types of data and allows alignment of this user-centered design method to the iterative approach of eHealth development. A variety of characteristics can be used that stretches beyond (standardized) medical and demographic measurements. Challenges lie in data quality and fitness for (quantitative) clustering.

Indexed as

clusteringeHealthheart failurepersonasuser-centered design

Identifiers

PMID35289759
PMCPMC8965674

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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.