Evidence map›Paper›PMID 41632961›Full record

ArticleJMIR human factors2026

Expert Views on Criteria for Evaluation of Human Factors Methods: Qualitative Interview Study.

Selvana Awad, Rachel Begg, Thomas Loveday, Andrew Baillie, Melissa Baysari

Abstract read
In one paragraph

Article in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Human factors methods for designing safe health information technology: what do the experts think?Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
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.

Selvana AwadThe University of Sydney, Camperdown, Sydney, Australia.ORCID 0000-0002-3913-9697
Rachel BeggNSW Health, 1 Reserve Rd, St Leonards, 2065, Australia.ORCID 0009-0005-8491-038X
Thomas LovedayNSW Health, 1 Reserve Rd, St Leonards, 2065, Australia.ORCID 0009-0001-6815-0414
Andrew BaillieThe University of Sydney, Camperdown, Sydney, Australia.ORCID 0000-0003-3424-5703
Melissa BaysariThe University of Sydney, Camperdown, Sydney, Australia.ORCID 0000-0003-1645-9126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Human factors (HF), or ergonomics, which explores the interaction between humans and systems, has been used to support design in safety-critical industries such as aviation, transportation, nuclear power, and manufacturing. HF methods have the potential to support the safe design of health IT; however, the evaluation of HF methods to determine their effectiveness and feasibility in this context has been limited. Objective: The aim of this study was to identify criteria for evaluating HF methods when applied to real-world projects and to use these to propose a framework for method evaluation. Methods: The study design was qualitative and descriptive and involved semistructured interviews with HF experts working across health and nonhealth industries in academic and/or practitioner roles. HF experts held a relevant degree (eg, ergonomics and HF engineering) and were actively using their HF expertise. Results were thematically analyzed. Results: A total of 21 participants took part, and interviews lasted, on average, 52 (range 39-103) minutes. Participants mentioned that they did not routinely evaluate methods; however, when asked how they would evaluate methods, they outlined a range of criteria to support method evaluation. Overall, 5 criteria and 28 subcriteria were identified. High-level criteria included effectiveness, efficiency, ease of use and acceptability, and impact on the solution. Conclusions: Results from this study were used to propose a framework for evaluating HF methods used in real-world health IT projects. The framework should provide organizations with valuable information on how to optimize the application and outcomes of HF methods and build HF capability within organizations, particularly where this capability may be lacking.

Indexed as

ErgonomicsAdultFemaleHumansInterviews as TopicMaleMiddle AgedQualitative Researchevaluationframeworkhuman factorsmethodsqualitativequantitative

Identifiers

PMID41632961
PMCPMC12867472

What OpenQuestion holds

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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.