Behavior science in the evolving world of digital health: considerations on anticipated opportunities and challenges.


Journal

Translational behavioral medicine
ISSN: 1613-9860
Titre abrégé: Transl Behav Med
Pays: England
ID NLM: 101554668

Informations de publication

Date de publication:
16 03 2021
Historique:
pubmed: 23 4 2020
medline: 19 8 2021
entrez: 23 4 2020
Statut: ppublish

Résumé

Digital health promises to increase intervention reach and effectiveness for a range of behavioral health outcomes. Behavioral scientists have a unique opportunity to infuse their expertise in all phases of a digital health intervention, from design to implementation. The aim of this study was to assess behavioral scientists' interests and needs with respect to digital health endeavors, as well as gather expert insight into the role of behavioral science in the evolution of digital health. The study used a two-phased approach: (a) a survey of behavioral scientists' current needs and interests with respect to digital health endeavors (n = 346); (b) a series of interviews with digital health stakeholders for their expert insight on the evolution of the health field (n = 15). In terms of current needs and interests, the large majority of surveyed behavioral scientists (77%) already participate in digital health projects, and from those who have not done so yet, the majority (65%) reported intending to do so in the future. In terms of the expected evolution of the digital health field, interviewed stakeholders anticipated a number of changes, from overall landscape changes through evolving models of reimbursement to more significant oversight and regulations. These findings provide a timely insight into behavioral scientists' current needs, barriers, and attitudes toward the use of technology in health care and public health. Results might also highlight the areas where behavioral scientists can leverage their expertise to both enhance digital health's potential to improve health, as well as to prevent the potential unintended consequences that can emerge from scaling the use of technology in health care.

Identifiants

pubmed: 32320039
pii: 5823796
doi: 10.1093/tbm/ibaa034
pmc: PMC7963278
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

495-503

Subventions

Organisme : NHLBI NIH HHS
ID : K23 HL136657
Pays : United States

Informations de copyright

© Society of Behavioral Medicine 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Auteurs

Madalina Sucala (M)

Health and Wellness Solutions, Johnson and Johnson Inc., New Brunswick, NJ, USA.

Heather Cole-Lewis (H)

Health and Wellness Solutions, Johnson and Johnson Inc., New Brunswick, NJ, USA.

Danielle Arigo (D)

Department of Psychology, Rowan University, Glassboro, NJ, USA.

Megan Oser (M)

Mahana Therapeutics, San Francisco, CA, USA.

Stephanie Goldstein (S)

Department of Psychiatry and Human Behavior, The Warren Alpert Medical School of Brown University and The Miriam Hospital/Weight Control and Diabetes Research Center, Providence, RI, USA.

Eric B Hekler (EB)

Department of Family Medicine and Public Health, University of California, San Diego (UCSD), Center for Wireless and Population Health Systems, Qualcomm Institute at UCSD, San Diego, CA, USA.

Michael A Diefenbach (MA)

Departments of Medicine and Urology, Northwell Health and the School of Medicine at Hofstra/Northwell, East Garden City, NY, USA.

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Classifications MeSH