Evidence map›Paper›PMID 28867476›Full record

ArticleJournal of biomedical informatics2017

Using scenarios and personas to enhance the effectiveness of heuristic usability evaluations for older adults and their care team.

Laura Kneale, Sean Mikles, Yong K Choi, Hilaire Thompson, George Demiris

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In one paragraph

Article in Journal of biomedical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Laura KnealeBiomedical and Health Informatics, University of Washington, Box 358047, 1959 NE Pacific Street, Seattle, WA 98195-7240, USA. Electronic address: lkneale@uw.edu.
Sean MiklesBiomedical and Health Informatics, University of Washington, Box 358047, 1959 NE Pacific Street, Seattle, WA 98195-7240, USA.
Yong K ChoiBiomedical and Health Informatics, University of Washington, Box 358047, 1959 NE Pacific Street, Seattle, WA 98195-7240, USA.
Hilaire ThompsonSchool of Nursing, University of Washington, Box 357260, 1959 NE Pacific Street, Seattle, WA 98195-7240, USA.
George DemirisBiomedical and Health Informatics, University of Washington, Box 358047, 1959 NE Pacific Street, Seattle, WA 98195-7240, USA; School of Nursing, University of Washington, Box 357260, 1959 NE Pacific Street, Seattle, WA 98195-7240, USA.

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

objectiveUsing heuristics to evaluate user experience is a common methodology for human-computer interaction studies. One challenge of this method is the inability to tailor results towards specific end-user needs. This manuscript reports on a method that uses validated scenarios and personas of older adults and care team members to enhance heuristics evaluations of the usability of commercially available personal health records for homebound older adults. MATERIALS AND

methodsOur work extends the Chisnell and Redish heuristic evaluation methodology by using a protocol that relies on multiple expert reviews of each system. It further standardizes the heuristic evaluation process through the incorporation of task-based scenarios.

resultsWe were able to use the modified version of the Chisnell and Redish heuristic evaluation methodology to identify potential usability challenges of two commercially available personal health record systems. This allowed us to: (1) identify potential usability challenges for specific types of users, (2) describe improvements that would be valuable to all end-users of the system, and (3) better understand how the interactions of different users may vary within a single personal health record.

conclusionsThe methodology described in this paper may help designers of consumer health information technology tools, such as personal health records, understand the needs of diverse end-user populations. Such methods may be particularly helpful when designing systems for populations that are difficult to recruit for end-user evaluations through traditional methods.

Indexed as

Health Records, PersonalHeuristicsUser-Computer InterfaceAdultHumansMedical InformaticsAgedHealth records, personalHeuristicsHome health nursingPatient portalsUsability

Identifiers

PMID28867476
PMCPMC5600518

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Registered trials

None linked

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.