Mobile Phone–Based Mood Ratings Prospectively Predict Psychotherapy Attendance
Open accessAbstract
Psychotherapy nonattendance is a costly and pervasive problem. While prior research has identified stable patient-level predictors of attendance, far less is known about dynamic (i.e., time-varying) factors. Identifying dynamic predictors can clarify how clinical states relate to psychotherapy attendance and inform effective "just-in-time" interventions to promote attendance. The present study examines whether daily mood, as measured by responses to automated mobile phone-based text messages, prospectively predicts attendance in group cognitive-behavioral therapy (CBT) for depression. Fifty-six Spanish-speaking Latino patients with elevated depressive symptoms (46 women, mean age=50.92years, SD=10.90years), enrolled in a manualized program of group CBT, received daily automated mood-monitoring text messages. Patients' daily mood ratings, message response rate, and delay in responding were recorded. Patients' self-reported mood the day prior to a scheduled psychotherapy session significantly predicted attendance, even after controlling for patients' prior attendance history and age (OR=1.33, 95% CI [1.04, 1.70], p=.02). Positive mood corresponded to a greater likelihood of attendance. Our results demonstrate the clinical utility of automated mood-monitoring text messages in predicting attendance. These results underscore the value of text messaging, and other mobile technologies, as adjuncts to psychotherapy. Future work should explore the use of such monitoring to guide interventions to increase attendance, and ultimately the efficacy of psychotherapy.
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Previous studies show that receiving simple text messaging reminders increases attendance to face-to-face treatment sessions among people of color.
“The feasibility of this approach is supported by previous studies showing that receiving simple text messaging reminders increases attendance to face-to-face treatment sessions among POC [54,55].”
From App-Based Mindfulness Meditation for People of Color Who Experience Race-Related Stress: Protocol for a Randomized Controlled Trial (2022) · cites this paper as [55]
The Discussion (page not provided) reports that text-based mood monitoring was feasible among low-income and ethnic-minority patients. But this study used mood-monitoring texts, not simple appointment reminders, and its Conclusions say the texts predicted attendance; whether a texting intervention increases attendance was left for future research. It therefore does not establish the claimed attendance increase among people of color. (LLM, conf=0.84)
Experimental — accuracy not yet measuredText messaging reminders have proven effective in increasing treatment adherence among POC community samples, including those in app-based mindfulness meditation studies.
“Text messaging reminders have proven effective in increasing treatment adherence among POC community samples [54-56,63], including those in app-based mindfulness meditation studies [49].”
From App-Based Mindfulness Meditation for People of Color Who Experience Race-Related Stress: Protocol for a Randomized Controlled Trial (2022) · cites this paper as [55]
The Method describes a community-clinic sample of low-income, Spanish-speaking Latino patients who received daily mood-monitoring texts. The Conclusions say those texts predicted psychotherapy attendance, not that reminders increased it; the Discussion calls interventions to increase attendance a subject for future research. The app-based mindfulness portion is cited separately and is not attributed to this paper. (LLM, conf=0.87)
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- Authors
- Bruehlman-Senecal, E., Aguilera, A., & Schueller, S. M.
- Affiliations
- University of California, Berkeley (US)
- Northwestern University (US)
- Corresponding author
- Bruehlman-Senecal, Emma
- Venue
- Behavior Therapy
- Publisher
- Elsevier BV
- Published
- 2017-09
- Volume
- 48
- Issue
- 5
- Pages
- 614-623
- ISSN
- 0005-7894 (ISSN-L)
- PMC
- PMC5512460
- OpenAlex
- W2567910647
- Cited by
- 20
- References
- 52
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 7 · 2018: 2 · 2017: 3
- FWCI
- 4.06
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Behavior Therapy (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Mental Health (K23MH094442, K08MH102336)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- mood ratings, text messaging, group cognitive behavioral therapy, depression, Hispanic patients, response rate, mobile health
- MeSH terms
- Adult, Affect, Depression, Female, Humans, Middle Aged, Patient Compliance, Prospective Studies, Psychotherapy, Psychotherapy, Group, Cognitive Behavioral Therapy, Cell Phone, Self Report, Text Messaging
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