The desktop, or the top of the desk? The relative usefulness of household features for personal health information management.


Journal

Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 01 08 2018
revised: 21 06 2019
accepted: 01 08 2019
pubmed: 21 8 2019
medline: 5 3 2021
entrez: 21 8 2019
Statut: ppublish

Résumé

Sixty percent of the US population manages at least one chronic illness. For these patients, personal health information management (PHIM) is an integral part of daily life, and largely occurs within the home. However, the way in which the home supports PHIM has not been systematically investigated. The present study examined how members of the diabetic population use features of the home environment to support PHIM. Participants (N = 60) explored a simulated home environment, the VR CAVE, and identified the most useful features for performing three examples of PHIM tasks. The computer was perceived as the most useful feature for PHIM. However, perceived usefulness of features varied based on the PHIM task performed and the rooms in which features appeared. We conclude that a detailed study of the affordances of features is necessary to ease the burden of managing chronic illness, particularly diabetes mellitus, in the sociotechnical system of the home.

Identifiants

pubmed: 31430599
pii: S0003-6870(19)30144-9
doi: 10.1016/j.apergo.2019.102912
pmc: PMC7366289
mid: NIHMS1537718
pii:
doi:

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102912

Subventions

Organisme : AHRQ HHS
ID : R01 HS022548
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002373
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

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Auteurs

Anna F Jolliff (AF)

Department of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Avenue, Madison, WI, 53706, USA; Department of Counseling Psychology, University of Wisconsin-Madison, USA. Electronic address: ajolliff@wisc.edu.

Peter Hoonakker (P)

Center for Quality and Productivity Improvement, University of Wisconsin-Madison, USA; Wisconsin Institute for Discovery, Madison, WI, USA.

Kevin Ponto (K)

Wisconsin Institute for Discovery, Madison, WI, USA; School of Human Ecology, University of Wisconsin-Madison, USA.

Ross Tredinnick (R)

Wisconsin Institute for Discovery, Madison, WI, USA.

Gail Casper (G)

Wisconsin Institute for Discovery, Madison, WI, USA; School of Nursing, University of Wisconsin-Madison, USA.

Thomas Martell (T)

Department of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Avenue, Madison, WI, 53706, USA.

Nicole E Werner (NE)

Department of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Avenue, Madison, WI, 53706, USA.

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Classifications MeSH