The Technology in Caring Questionnaire: Development and Psychometric Properties.


Journal

Alzheimer disease and associated disorders
ISSN: 1546-4156
Titre abrégé: Alzheimer Dis Assoc Disord
Pays: United States
ID NLM: 8704771

Informations de publication

Date de publication:
22 Jan 2024
Historique:
received: 14 11 2023
accepted: 18 12 2023
medline: 26 1 2024
pubmed: 26 1 2024
entrez: 26 1 2024
Statut: aheadofprint

Résumé

We developed the Technology in Caring Questionnaire (TCQ) to assess the use of technology-based strategies by dementia caregivers. One hundred caregivers completed a survey that included TCQ items along with measures of technology proficiency and patient and caregiver-centered outcomes. The final 34-item TCQ scale had adequate to excellent internal consistency (raw Cronbach alpha = 0.75; standardized Cronbach alpha = 0.95; Guttman lambda-6 = 0.97). TCQ scores demonstrated modest convergent associations with scores from measures of smartphone (r = 0.265, P < 0.01) and computer proficiency (r = 0.230, P < 0.05) but a strong association with overall technology experience scores (r = 0.578, P < 0.001). Elevated TCQ scores were associated with reduced informant-reported cognitive symptoms (B = -0.003, P < 0.05), increased ability of caregivers to find support and information (B = 0.03, P < 0.001), and increased direct care strain (B = 0.03, P < 0.05), after controlling for dementia severity and demographics. The TCQ has good psychometric properties for the assessment of technology-based care strategies among dementia caregivers. Findings imply that the use of technologies may aid in symptom management and finding support and information but may also increase caregiver strain.

Identifiants

pubmed: 38277628
doi: 10.1097/WAD.0000000000000604
pii: 00002093-990000000-00092
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

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Auteurs

Andrew M Kiselica (AM)

Department of Health Psychology, University of Missouri, Columbia, MO.

Shayne S H Lin (SSH)

Department of Health Psychology, University of Missouri, Columbia, MO.

Rylea Ranum (R)

Department of Psychology, University of Houston, Houston, TX.

Cynthia M Mikula (CM)

Department of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, New York.

Greta Hermann (G)

Department of Health Psychology, University of Missouri, Columbia, MO.

Anna Boone (A)

Department of Occupational Therapy, University of Missouri, Columbia, MO, USA.

Michael Scullin (M)

Department of Psychology and Neuroscience, Baylor University, Waco, TX.

Dawn Mechanic-Hamilton (D)

Department of Neurology, University of Pennsylvania, Philadelphia, PA.

Timothy Wolf (T)

Department of Occupational Therapy, University of Missouri, Columbia, MO, USA.

Alan Stevens (A)

Center for Applied Health Research, Baylor Scott and White Health, Temple, TX.

Jared F Benge (JF)

Department of Neurology and Mulva Clinic for the Neurosciences, University of Texas, Austin, Austin, TX.

Classifications MeSH