The Use of Text Messaging as an Adjunct to Internet-Based Cognitive Behavioral Therapy for Major Depressive Disorder in Youth: Secondary Analysis
Authors:
- Clarice WaltersCWClarice Walters
- David GratzerDGDavid Gratzer
- Kevin DangKDKevin Dang
- Judith LaposaJLJudith Laposa
- Yuliya KnyahnytskaYuliya Knyahnytska
- Abigail OrtizAOAbigail Ortiz
- Christina Gonzalez-TorresCGChristina Gonzalez-Torres
- Lindsay P MooreLMLindsay P Moore
- Sheng ChenSCSheng Chen
- Clement MaCMClement Ma
- Zafiris DaskalakisZDZafiris Daskalakis
- Paul RitvoPRPaul Ritvo
Open Access
- 31 May 2024
- journal article
- research article
- Published by JMIR Publications Inc. in JMIR Formative Research
- Vol. 8 (1) , e40275
Abstract
Background: As an established treatment for major depressive disorder (MDD), cognitive behavioral therapy (CBT) is now implemented and assessed in internet-based formats that, when combined with smartphone apps, enable secure text messaging. As an adjunct to such internet-based CBT (ICBT) approaches, text messaging has been associated with increased adherence and therapeutic alliance. Objective: This study analyzed data from the intervention arm of a randomized control trial evaluating 24-week ICBT for MDD (intervention arm) against standard-care psychiatry (waitlist control). The aim of this secondary analysis was to assess MDD symptom improvement in relation to the frequency and content of text messages sent by ICBT participants to Navigator-Coaches during randomized control trial participation. Higher text frequency in general and in 3 conceptual categories (appreciating alliance, alliance building disclosures, and agreement confirmation) was hypothesized to predict larger MDD symptom improvement. Methods: Participants were young adults (18-30 years) from the Centre for Addiction and Mental Health. The frequencies of categorized texts from 20 ICBT completers were analyzed with respect to MDD symptom improvement using linear regression models. Texts were coded by 2 independent coders and categorized using content analysis. MDD symptoms were measured using the Beck Depression Inventory-II (BDI-II). Results: Participants sent an average of 136 text messages. Analyses indicated that BDI-II improvement was negatively associated with text messaging frequency in general (β=–0.029, 95% CI –0.11 to 0.048) and in each of the 3 categories: appreciating alliance (β=–0.096, 95% CI –0.80 to 0.61), alliance building disclosures (β=–0.098, 95% CI –0.28 to 0.084), and agreement confirmation (β=–0.076, 95% CI –0.40 to 0.25). Altogether, the effect of text messaging on BDI-II improvement was uniformly negative across statistical models. More text messaging appeared associated with less MDD symptom improvement. Conclusions: The hypothesized positive associations between conceptually categorized text messages and MDD symptom improvement were not supported in this study. Instead, more text messaging appeared to indicate less treatment benefit. Future studies with larger samples are needed to discern the optimal use of text messaging in ICBT approaches using adjunctive modes of communication. Trial Registration: Clinical Trials.gov NCT03406052; https://www.clinicaltrials.gov/ct2/show/NCT03406052Keywords
All Related Versions
This publication has 35 references indexed in Scilit:
- Association of problematic smartphone use with poor sleep quality, depression, and anxiety: A systematic review and meta-analysisPsychiatry Research, 2020
- A randomized noninferiority trial evaluating remotely-delivered stepped care for depression using internet cognitive behavioral therapy (CBT) and telephone CBTBehaviour Research and Therapy, 2019
- The efficacy of app‐supported smartphone interventions for mental health problems: a meta‐analysis of randomized controlled trialsWorld Psychiatry, 2019
- Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: An updated meta-analysisJournal of Anxiety Disorders, 2018
- Evidence for effective interventions to reduce mental-health-related stigma and discriminationThe Lancet, 2016
- Predictors of response to CBT and IPT for depression; the contribution of therapy processBehaviour Research and Therapy, 2015
- Alleviating depression only to become problematic mobile phone users: Can face-to-face communication be the antidote?Computers in Human Behavior, 2015
- A content analysis of client e-mails in guided internet-based cognitive behavior therapy for depressionInternet Interventions, 2015
- The impact of guidance on Internet-based mental health interventions — A systematic reviewInternet Interventions, 2014
- One, Two, or Three? Constructs of the Brief Pain Inventory Among Patients With Non-Cancer Pain in the Outpatient SettingJournal of Pain and Symptom Management, 2014