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Formative, multimethod case studies of learn to quit, an acceptance and commitment therapy smoking cessation app designed for people with serious mental illness.

Publication ,  Journal Article
Vilardaga, R; Rizo, J; Ries, RK; Kientz, JA; Ziedonis, DM; Hernandez, K; McClernon, FJ
Published in: Transl Behav Med
November 25, 2019

Despite public health efforts, individuals with serious mental illness (SMI) still have very high rates of tobacco smoking. Innovative approaches to reach this population are needed. These series of case studies aimed to descriptively evaluate the usability, user experience (UX), and user engagement (UE) of Learn to Quit (LTQ), an acceptance and commitment therapy smoking cessation app designed for people with SMI, and to compare it with an app designed for the general population, NCI (National Cancer Institute) QuitGuide (QG). Both apps were combined with nicotine replacement therapy and technical coaching. Inspired by the ORBIT model, we implemented two case studies with crossover AB interventions, two B-phase training designs, and three bi-phasic AB single-case designs with Start-Point and Order randomization (A = QG, B = LTQ). Study outcomes were measured using the System Usability Scale, UX interviews, and background analytics. LTQ's usability levels were above the standard cutoff and on average higher than QG. UX outcomes suggested the relative benefits of LTQ's visual design, gamification and simple design structure. LTQ's overall UE was high; the app was opened for an average of 14 min per day (vs. QG: 7 min). However, users showed low levels of UE with each of the app's tracking feature. Measures of psychiatric functioning suggested the safety of LTQ in people with SMI. LTQ appears to be a usable and engaging smoking cessation app in people with SMI. An optimized version of LTQ should be tested in a Phase II study.

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Published In

Transl Behav Med

DOI

EISSN

1613-9860

Publication Date

November 25, 2019

Volume

9

Issue

6

Start / End Page

1076 / 1086

Location

England

Related Subject Headings

  • Telemedicine
  • Smoking Cessation
  • Smoking
  • Patient Outcome Assessment
  • Mobile Applications
  • Middle Aged
  • Mental Disorders
  • Male
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
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Vilardaga, R., Rizo, J., Ries, R. K., Kientz, J. A., Ziedonis, D. M., Hernandez, K., & McClernon, F. J. (2019). Formative, multimethod case studies of learn to quit, an acceptance and commitment therapy smoking cessation app designed for people with serious mental illness. Transl Behav Med, 9(6), 1076–1086. https://doi.org/10.1093/tbm/iby097
Vilardaga, Roger, Javier Rizo, Richard K. Ries, Julie A. Kientz, Douglas M. Ziedonis, Kayla Hernandez, and Francis J. McClernon. “Formative, multimethod case studies of learn to quit, an acceptance and commitment therapy smoking cessation app designed for people with serious mental illness.Transl Behav Med 9, no. 6 (November 25, 2019): 1076–86. https://doi.org/10.1093/tbm/iby097.
Vilardaga R, Rizo J, Ries RK, Kientz JA, Ziedonis DM, Hernandez K, et al. Formative, multimethod case studies of learn to quit, an acceptance and commitment therapy smoking cessation app designed for people with serious mental illness. Transl Behav Med. 2019 Nov 25;9(6):1076–86.
Vilardaga, Roger, et al. “Formative, multimethod case studies of learn to quit, an acceptance and commitment therapy smoking cessation app designed for people with serious mental illness.Transl Behav Med, vol. 9, no. 6, Nov. 2019, pp. 1076–86. Pubmed, doi:10.1093/tbm/iby097.
Vilardaga R, Rizo J, Ries RK, Kientz JA, Ziedonis DM, Hernandez K, McClernon FJ. Formative, multimethod case studies of learn to quit, an acceptance and commitment therapy smoking cessation app designed for people with serious mental illness. Transl Behav Med. 2019 Nov 25;9(6):1076–1086.
Journal cover image

Published In

Transl Behav Med

DOI

EISSN

1613-9860

Publication Date

November 25, 2019

Volume

9

Issue

6

Start / End Page

1076 / 1086

Location

England

Related Subject Headings

  • Telemedicine
  • Smoking Cessation
  • Smoking
  • Patient Outcome Assessment
  • Mobile Applications
  • Middle Aged
  • Mental Disorders
  • Male
  • Humans
  • Female