Mobile Phone–Based Mood Ratings Prospectively Predict Psychotherapy Attendance

Bruehlman-Senecal, Emma; Aguilera, Adrián; Schueller, Stephen M.

doi:10.1016/j.beth.2017.01.002

Cited by 19 publications

(11 citation statements)

References 47 publications

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“…Along with research on overall efficacy and effectiveness of mHealth interventions, studies should assess how to utilize incoming data to predict key clinical events. For example, analyses of daily mood data found that lower mood the day before a therapy session resulted in lower likelihood of attendance [ 41 ]. These types of analytics can inform just in time interventions to improve mHealth and in person interventions.…”

Section: Discussionmentioning

confidence: 99%

Automated Text Messaging as an Adjunct to Cognitive Behavioral Therapy for Depression: A Clinical Trial

Aguilera¹,

Bruehlman-Senecal²,

DeMasi³

et al. 2017

J Med Internet Res

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117

119

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BackgroundCognitive Behavioral Therapy (CBT) for depression is efficacious, but effectiveness is limited when implemented in low-income settings due to engagement difficulties including nonadherence with skill-building homework and early discontinuation of treatment. Automated messaging can be used in clinical settings to increase dosage of depression treatment and encourage sustained engagement with psychotherapy.ObjectivesThe aim of this study was to test whether a text messaging adjunct (mood monitoring text messages, treatment-related text messages, and a clinician dashboard to display patient data) increases engagement and improves clinical outcomes in a group CBT treatment for depression. Specifically, we aim to assess whether the text messaging adjunct led to an increase in group therapy sessions attended, an increase in duration of therapy attended, and reductions in Patient Health Questionnaire-9 item (PHQ-9) symptoms compared with the control condition of standard group CBT in a sample of low-income Spanish speaking Latino patients.MethodsPatients in an outpatient behavioral health clinic were assigned to standard group CBT for depression (control condition; n=40) or the same treatment with the addition of a text messaging adjunct (n=45). The adjunct consisted of a daily mood monitoring message, a daily message reiterating the theme of that week’s content, and medication and appointment reminders. Mood data and qualitative responses were sent to a Web-based platform (HealthySMS) for review by the therapist and displayed in session as a tool for teaching CBT skills.ResultsIntent-to-treat analyses on therapy attendance during 16 sessions of weekly therapy found that patients assigned to the text messaging adjunct stayed in therapy significantly longer (median of 13.5 weeks before dropping out) than patients assigned to the control condition (median of 3 weeks before dropping out; Wilcoxon-Mann-Whitney z=−2.21, P=.03). Patients assigned to the text messaging adjunct also generally attended more sessions (median=6 sessions) during this period than patients assigned to the control condition (median =2.5 sessions), but the effect was not significant (Wilcoxon-Mann-Whitney z=−1.65, P=.10). Both patients assigned to the text messaging adjunct (B=−.29, 95% CI −0.38 to −0.19, z=−5.80, P<.001) and patients assigned to the control conditions (B=−.20, 95% CI −0.32 to −0.07, z=−3.12, P=.002) experienced significant decreases in depressive symptom severity over the course of treatment; however, the conditions did not significantly differ in their degree of symptom reduction.ConclusionsThis study provides support for automated text messaging as a tool to sustain engagement in CBT for depression over time. There were no differences in depression outcomes between conditions, but this may be influenced by low follow-up rates of patients who dropped out of treatment.

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Section: Discussionmentioning

confidence: 99%

Automated Text Messaging as an Adjunct to Cognitive Behavioral Therapy for Depression: A Clinical Trial

Aguilera¹,

Bruehlman-Senecal²,

DeMasi³

et al. 2017

J Med Internet Res

Self Cite

117

119

View full text Add to dashboard Cite

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“…Ideally, digital apothecaries would highlight for clinicians innovative methods to evaluate their clinical outcomes. Digital tools can provide unique and possibly unobtrusive methods to enhance care (33,34). Technology approaches can provide ongoing treatment assessment, address client adherence/attendance, provide options for peer support, and allow for in-between session client/therapist communication, which can all supplement or enhance the therapeutic process (see Figure 1, type 2, face-to-face augmented with technology).…”

Section: Apothecary Applications For Practicementioning

confidence: 99%

Digital apothecaries: a vision for making health care interventions accessible worldwide

Muñoz¹,

Chavira²,

Himle³

et al. 2018

mHealth

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Evidence-based psychological interventions are growing in number but are not within reach of many individuals who could benefit from them. The recent revolution in digital technologies now makes it possible to reach people around the globe with digital interventions in the form of web sites, mobile applications, wearable devices, and so on. Although a plethora of digital interventions are available online few are evidence-based and individuals have little guidance to decide among the multitude of options. We propose the development of "digital apothecaries," that is, online repositories of evidence-based digital interventions. As portals to effective interventions, digital apothecaries would be useful to individuals who could access evidence-based interventions directly, to health care providers, who could identify specific digital tools to suggest to or use with their patients, and to researchers, who could study a range of tools with large samples, enabling comparative tests and evaluation of moderators of effects. We present a taxonomy of types of in-person and digital interventions ranging from traditional therapy without the use of digital tools to totally automated self-help interventions. This taxonomy highlights the potential of blending digital tools into health care systems to expand their reach. Digital apothecaries would provide access to evidence-based digital interventions (both free and paid versions), provide data on effectiveness (including effectiveness for diverse populations), and encourage the development and testing of more such tools. Other issues discussed include: criteria for inclusion of interventions into digital apothecaries; how digital tools could enhance health care for diverse populations; and cautionary notes regarding potential negative unintended consequences of the adoption of digital interventions into the health care system. In particular, we warn about the potential misuse of evidence-based digital interventions to justify reducing access to live providers. Digital apothecaries bring with them the promise of reducing health disparities by reaching large numbers of individuals across the world who need health interventions but are not currently receiving them. The health care field is encouraged to mindfully develop this promise, while being alert not to cause inadvertent harm.

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“…Those who received text messages did stay in the study for longer compared with the CBT-only group-13.5 weeks compared with three weeks, respectively. Reporting on a mood monitoring adjunct in this same study, Bruehlmann-Senecal et al [35], assess the predictive capacity of daily mood-monitoring text messages in relation to attendance at a CBT program. Automated daily text messages prompted patients to respond via text with a number corresponding to their mood (on a scale of 1-9).…”

Section: Depression and Mental Health Carementioning

confidence: 99%

Promoting Culturally Tailored mHealth: A Scoping Review of Mobile Health Interventions in Latinx Communities

González

Early

Gordon-Dseagu

et al. 2021

J Immigrant Minority Health

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This scoping review of mHealth research focuses on intervention studies that utilize mobile technologies to promote behavior change and improve health outcomes in U.S. Latinx communities. 342 mHealth articles were reviewed using PRIMSA protocols; most did not include a majority Latinx study population or did not report on an intervention. The final sample resulted in 23 articles published between 2012 and 2020. Reviewed interventions focused on conditions such as: diabetes, depression, substance abuse, obesity, hypertension, maternal health, and farmworker safety. About one-third of mHealth interventions included mobile applications, the rest were limited to texting programs. Text message reminders can help improve medication adherence and care access, especially when coupled with support from community health workers. Bi-directional text message interventions with feedback loops and personalized treatment options can build user agency. Additionally, multimodal applications that combine texting with self-guided interactive content show promise for culturally tailored mHealth.

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Mobile Phone–Based Mood Ratings Prospectively Predict Psychotherapy Attendance

Cited by 19 publications

References 47 publications

Automated Text Messaging as an Adjunct to Cognitive Behavioral Therapy for Depression: A Clinical Trial

Automated Text Messaging as an Adjunct to Cognitive Behavioral Therapy for Depression: A Clinical Trial

Digital apothecaries: a vision for making health care interventions accessible worldwide

Promoting Culturally Tailored mHealth: A Scoping Review of Mobile Health Interventions in Latinx Communities

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