scholarly journals Adolescents' Use of Digital Technologies and Preferences for Mobile Health Coaching in Public Mental Health Settings

2019 ◽  
Vol 7 ◽  
Author(s):  
Kelly A. Aschbrenner ◽  
John A. Naslund ◽  
Elizabeth F. Tomlinson ◽  
Allison Kinney ◽  
Sarah I. Pratt ◽  
...  
2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Briana S. Last ◽  
Simone H. Schriger ◽  
Carter E. Timon ◽  
Hannah E. Frank ◽  
Alison M. Buttenheim ◽  
...  

An amendment to this paper has been published and can be accessed via the original article.


2017 ◽  
Vol 4 (3) ◽  
pp. e27 ◽  
Author(s):  
John Torous ◽  
Spencer Roux

This patient perspective piece presents an important case at the intersection of mobile health technology, mental health, and innovation. The potential of digital technologies to advance mental health is well known, although the challenges are being increasingly recognized. Making mobile health work for mental health will require broad collaborations. We already know that those who experience mental illness are excited by the potential technology, with many actively engaged in research, fundraising, advocacy, and entrepreneurial ventures. But we don’t always hear their voice as often as others. There is a clear advantage for their voice to be heard: so we can all learn from their experiences at the direct intersection of mental health and technology innovation. The case is cowritten with an individual with schizophrenia, who openly shares his name and personal experience with mental health technology in order to educate and inspire others. This paper is the first in JMIR Mental Health’s patient perspective series, and we welcome future contributions from those with lived experience.


2018 ◽  
Vol 267 ◽  
pp. 376-381 ◽  
Author(s):  
Martina Curto ◽  
Enrico Pompili ◽  
Cristiana Silvestrini ◽  
Pina Bellizzi ◽  
Serena Navari ◽  
...  

PLoS ONE ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. e0218117 ◽  
Author(s):  
Jorge Osma ◽  
Carlos Suso-Ribera ◽  
Óscar Peris-Baquero ◽  
Marta Gil-Lacruz ◽  
Luisa Pérez-Ayerra ◽  
...  

2020 ◽  
Author(s):  
Briana S Last ◽  
Simone H Schriger ◽  
Carter E. Timon ◽  
Hannah E Frank ◽  
Alison M. Buttenheim ◽  
...  

Abstract Background: Trauma focused-cognitive behavioral therapy (TF-CBT) is an evidence-based intervention for youth with posttraumatic stress disorder. An important component of TF-CBT is the trauma narrative (TN), a phase in the intervention in which youth are guided to process the memories, thoughts, and feelings associated with their traumatic experience(s). Previous work has shown that TF-CBT clinicians complete TNs with only half of their clients, yet little is known about what determines TF-CBT clinicians’ use of TNs. The behavioral insights literature—an interdisciplinary field studying judgment and decision-making—offers theoretical and empirical tools to conceptualize what drives complex human behaviors and decisions. Drawing from the behavioral insights literature, the present study seeks to understand what determines clinician use of TNs and to generate strategies that target these determinants. Methods: Through semi-structured qualitative interviews, we sought the perspectives of trained TF-CBT clinicians working in public mental health settings across the city of Philadelphia (N =17) to understand their decisions to use TNs with clients. We analyzed the qualitative data using a coding approach informed by the behavioral insights literature. We used an iterative process of structured hypothesis generation, aided by a behavioral insights guide, and rapid validation informed by behavioral insights to uncover the determinants of TN use. We then generated implementation strategies that targeted these determinants using the “Easy Attractive Social Timely” framework, a behavioral insights design approach. Results: We generated and validated three broad themes about what determines clinician implementation of TNs: decision complexity, clinician affective experience, and agency norms. We hypothesized behavioral insights that underlie these implementation determinants and designed a list of nine corresponding behavioral insights strategies that may facilitate TN implementation. Conclusions: Our study investigated why an effective component of an evidence-based intervention is difficult to implement. We leveraged robust scientific theories and empirical regularities from the behavioral insights literature to understand clinician perspectives on TN implementation. These factors were theoretically linked to implementation strategies. Our work revealed the potential for using behavioral insights in the diagnosis of evidence-based intervention determinants and the design of implementation strategies.


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