Potential Use of Voice-Activated Personal Assistants in Diabetes Prevention and Management: An Exploratory Qualitative Study Using the Consolidated Framework for Implementation Research.
Background: Diabetes affects millions of people in the United States and poses significant health and economic challenges, but it can be prevented or managed through health behavior changes. Such changes might be aided by voice-activated personal assistants (VAPAs), which offer interactive and real-...
| Publicado en: | Health Promotion Practice Vol. 27; no. 1; pp. 148 - 160 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Jan2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190493707&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190493707 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15248399 IS2 jtl: Health Promotion Practice issn: 15248399 maglogo: Y pubinfo: dt: Jan2026 vid: 27 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 190493707 181841015 190493707 190493707 10.1177/15248399241302051 190493707 ppf: 148 ppct: 12 formats: tig: atl: Potential Use of Voice-Activated Personal Assistants in Diabetes Prevention and Management: An Exploratory Qualitative Study Using the Consolidated Framework for Implementation Research. aug: au: Jacobs, Sara Rotunda, Wendi Sarris Esquivel, Nikie Horvitz, Casey Ng, Valerie Vincent, Adam Arena, Laura Feher III, John Hulbert, LaShonda Mensa-Wilmot, Yvonne affil: RTI International, Research Triangle Park, NC, USA sug: subj: Diabetes Mellitus Prevention and Control Voice Recognition Systems Utilization Computers, Hand-Held Utilization Health Promotion Methods Self Care Methods Implementation Science Life Style Changes Diabetes Mellitus, Type 2 Risk Factors Risk Assessment Funding Source Human Male Female Exploratory Research Qualitative Studies Health Services Research Semi-Structured Interview Thematic Analysis Descriptive Statistics Male Female ab: Background: Diabetes affects millions of people in the United States and poses significant health and economic challenges, but it can be prevented or managed through health behavior changes. Such changes might be aided by voice-activated personal assistants (VAPAs), which offer interactive and real-time assistance through features such as reminders, or obtaining health information. However, there are little data on interest and acceptability of integrating VAPAs into programs such as the National Diabetes Prevention Program (National DPP) or diabetes, self-management, education, and support (DSMES) services. Methods: We conducted individual and small-group semi-structured interviews of National DPP and DSMES staff and program participants. We used rapid-turnaround qualitative thematic analysis to identify emerging themes using an adapted version of the Consolidated Framework for Implementation Research (CFIR). Results: Nearly all program participants and staff had prior experience with VAPAs, but not in the context of these programs. Most program participants felt confident in their ability to use VAPAs but were concerned about their privacy and security. Program staff were optimistic about the feasibility of integrating VAPAs into existing programs given their ability to support healthy habit formation, but staff were less optimistic about using VAPAs to share health information. Program staff also felt that additional resources to support VAPA use would help ensure that VAPAs would not create an extra burden on staff and program participants. Implications: Integrating VAPAs as a resource to enhance mobile applications already in use shows potential to support health behavior change. Future research should include how this technology could be further optimized to enhance utility. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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