Evidence map›Paper›PMID 35654432›Full record

ArticleYearbook of medical informatics2022

Overcoming Challenges to Inclusive User-based Testing of Health Information Technology with Vulnerable Older Adults: Recommendations from a Human Factors Engineering Expert Inquiry.

Linda W Peute, Gaby-Anne Wildenbos, Thomas Engelsma, Blake J Lesselroth, Valentina Lichtner, Helen Monkman, David Neal, Lex Van Velsen, Monique W Jaspers, Romaric Marcilly

Abstract read
In one paragraph

Article in Yearbook of medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. An Iterative Participatory Design Approach to Develop Collaborative Augmented Reality Activities for Older Adults in Long-Term Care Facilities.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024
    Article
  6. Observational
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

10 authors.

Linda W PeuteCenter for Human Factors Engineering of Health Information Technology, eHealth Living & Learning Lab Amsterdam, Amsterdam Public Health Research Institute, Amsterdam UMC, Location AMC, Department of Medical Informatics, Amsterdam, the Netherlands.
Gaby-Anne WildenbosCenter for Human Factors Engineering of Health Information Technology, Amsterdam Public Health Research Institute, Department of Medical informatics, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
Thomas EngelsmaCenter for Human Factors Engineering of Health Information Technology, eHealth Living & Learning Lab Amsterdam, Amsterdam Public Health Research Institute, Amsterdam UMC, Location AMC, Department of Medical Informatics, Amsterdam, the Netherlands.
Blake J LesselrothSchool of Health Information Science, University of Victoria, Victoria, Canada.
Valentina LichtnerLeeds University Business School, University of Leeds, Leeds, UK.
Helen MonkmanSchool of Health Information Science, University of Victoria, Victoria, Canada.
David NealAmsterdam UMC, location VUmc Department of Psychiatry, Amsterdam.
Lex Van VelsenRoessingh Research and Development, eHealth group, Enschede, The Netherlands.
Monique W JaspersCenter for Human Factors Engineering of Health Information Technology, eHealth Living & Learning Lab Amsterdam, Amsterdam Public Health Research Institute, Amsterdam UMC, Location AMC, Department of Medical Informatics, Amsterdam, the Netherlands.
Romaric MarcillyUniversité de Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France. INSERM-CIC-IT 1403/Evalab, Lille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesInvolving representative users in usability testing of health information technology (HIT) is central to user-centered design. However, (vulnerable) older adults as representative users have unique requirements. Aging processes may affect physical capabilities and cognitive skills, which can hamper testing with this demographic and may require special attention and revised protocols. This study was performed to provide expert-based recommendations for HIT user-testing with (vulnerable) older adults to support inclusive HIT design and evaluation.

methodsFirst, we conducted a structured workshop with ten experts in HIT implementation and research, recruited through purposeful sampling, to generate insights into how characteristics of older adults may influence user-testing. Next, five Human Factor researchers experienced in HIT user-testing with (vulnerable) older adults validated the results and provided additional textual insights to gain consensus on the most important recommendations. A thematic analysis was performed on the resulting inquiries. Applied codes were based on the User-Centered Design framework.

resultsThe analysis resulted in nine recommendations for user-testing of HIT with older adults, divided into three main themes: (1) empathetic approach and trust-building, (2) new requirements for testing and study design, and (3) adjustments to usability evaluation methods. For each theme a checklist of relevant items to follow-up on the recommendation is provided.

conclusionsThe recommendations generated through expert inquiry contribute to more effective usability testing of HIT with older adults. This provides an important step towards improved accessibility of HIT amongst older adults through inclusive user-centered design.

Indexed as

Medical InformaticsAgedErgonomicsHumans

Identifiers

PMID35654432
PMCPMC9719783

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.