Patient perceptions of digital and therapist-led CBT for insomnia: A qualitative study.


Journal

Behavioral sleep medicine
ISSN: 1540-2010
Titre abrégé: Behav Sleep Med
Pays: England
ID NLM: 101149327

Informations de publication

Date de publication:
03 Aug 2024
Historique:
medline: 4 8 2024
pubmed: 4 8 2024
entrez: 3 8 2024
Statut: aheadofprint

Résumé

Technology has the potential to increase access to evidence-based insomnia treatment. Patient preferences/perceptions of automated digital cognitive behavior therapy for insomnia (CBTI) and telehealth-delivered CBTI remain largely unexplored among middle-aged and older adults. Using a qualitative approach, the current study describes patients' reasons for participating in the clinical trial, preferences for digital CBTI (dCBTI) versus therapist-led CBTI, patient attitudes toward dCBTI, and patient attitudes toward telehealth-delivered therapist-led CBTI. Middle-aged and older adults ( Most (62.5%) of the participants expressed a preference for therapist-led CBTI to dCBTI. Convenience was the most commonly reported advantage of dCBTI ( Findings suggest that, despite an overall preference for therapist-led treatment, most middle-aged and older adults are open to dCBTI. As both dCBTI and telehealth-delivered CBTI are perceived as convenient, these modalities offer the potential to increase access to insomnia care.

Identifiants

pubmed: 39096163
doi: 10.1080/15402002.2024.2386611
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-16

Auteurs

Nicole B Gumport (NB)

Division of Primary Care and Population Health, Stanford University, Stanford, USA.

Isabelle A Tully (IA)

Division of Primary Care and Population Health, Stanford University, Stanford, USA.

Joshua Tutek (J)

Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, USA.

Jessica R Dietch (JR)

School of Psychological Science, Oregon State University, Corvallis, USA.

Donna M Zulman (DM)

Division of Primary Care and Population Health, Stanford University, Stanford, USA.

Lisa G Rosas (LG)

Department of Epidemiology and Population Health, Stanford University, Stanford, USA.

Norah Simpson (N)

Division of Primary Care and Population Health, Stanford University, Stanford, USA.

Rachel Manber (R)

Division of Primary Care and Population Health, Stanford University, Stanford, USA.

Classifications MeSH