Evidence map›Paper›PMID 29907556›Full record

ArticleJMIR mental health2018

Veterans' Perspectives on Fitbit Use in Treatment for Post-Traumatic Stress Disorder: An Interview Study.

Ada Ng, Madhu Reddy, Alyson K Zalta, Stephen M Schueller

Abstract read
In one paragraph

Article in JMIR mental health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. Ensuring patient and public involvement in the transition to AI-assisted mental health care: A systematic scoping review and agenda for design justice.Health expectations : an international journal of public participation in health care and health policy · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ada NgPeople, Information, and Technology Changing Health Lab, Technology and Social Behavior Program, Northwestern University, Evanston, IL, United States.ORCID http://orcid.org/0000-0003-2662-3460
Madhu ReddyPeople, Information, and Technology Changing Health Lab, School of Communication, Northwestern University, Evanston, IL, United States.ORCID http://orcid.org/0000-0002-6330-3637
Alyson K ZaltaDepartments of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID http://orcid.org/0000-0002-5159-8431
Stephen M SchuellerCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID http://orcid.org/0000-0002-1003-0399

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Using CBT to Probe Psychobiobehavioral Resilience to Post-trauma PsychopathologyK23MH103394 · NIMH · RUSH UNIVERSITY MEDICAL CENTER · PI ZALTA, ALYSON KAY · 2014 to 2018
$769k
Connecting Patients and Therapists Using a Tech-Based Treatment Support SystemK08MH102336 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SCHUELLER, STEPHEN · 2014 to 2017
$678k
NCATS NIH HHS UL1 TR001422NIMH NIH HHS K08 MH102336NIMH NIH HHS K23 MH103394
6 · The paper itself

Abstract

backgroundThe increase in availability of patient data through consumer health wearable devices and mobile phone sensors provides opportunities for mental health treatment beyond traditional self-report measurements. Previous studies have suggested that wearables can be effectively used to benefit the physical health of people with mental health issues, but little research has explored the integration of wearable devices into mental health care. As such, early research is still necessary to address factors that might impact integration including patients' motivations to use wearables and their subsequent data.

objectiveThe aim of this study was to gain an understanding of patients' motivations to use or not to use wearables devices during an intensive treatment program for post-traumatic stress disorder (PTSD). During this treatment, they received a complementary Fitbit. We investigated the following research questions: How did the veterans in the intensive treatment program use their Fitbit? What are contributing motivators for the use and nonuse of the Fitbit?

methodsWe conducted semistructured interviews with 13 veterans who completed an intensive treatment program for PTSD. We transcribed and analyzed interviews using thematic analysis.

resultsWe identified three major motivations for veterans to use the Fitbit during their time in the program: increase self-awareness, support social interactions, and give back to other veterans. We also identified three major reasons certain features of the Fitbit were not used: lack of clarity around the purpose of the Fitbit, lack of meaning in the Fitbit data, and challenges in the veteran-provider relationship.

conclusionsTo integrate wearable data into mental health treatment programs, it is important to understand the patient's perspectives and motivations in using wearables. We also discuss how the military culture and PTSD may have contributed to our participants' behaviors and attitudes toward Fitbit usage. We conclude with possible approaches for integrating patient-generated data into mental health treatment settings that may address the challenges we identified.

Indexed as

consumer health informaticsfitness trackersmental healthpatient generated health dataPTSDstress disorders, post-traumaticveterans

Identifiers

PMID29907556
PMCPMC6026306

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.