Symposia
Technology/Digital Health
Emily E. Bernstein, Ph.D. (she/her/hers)
Clinical Psychologist
Massachusetts General Hospital/Harvard Medical School
SOMERVILLE, Massachusetts, United States
Katharine Daniel, MA
Clinical Fellow
MGH/Harvard Medical School
Boston, Massachusetts, United States
Peyton E. Miyares, B.A.
Clinical Research Coordinator
Massachusetts General Hospital
Somerville, Massachusetts, United States
Susanne S. Hoeppner, Ph.D., M.Ap.Stat.
Biostatistician epidemiologist
Massachusetts General Hospital
Boston, Massachusetts, United States
Kate H. Bentley, Ph.D. (she/her/hers)
Assistant Professor
Massachusetts General Hospital/Harvard Medical School
Boston, Massachusetts, United States
Ivar Snorrason, PhD (he/him/his)
Staff Psychologist
Massachusetts General Hospital / Harvard Medical School
Boston, Massachusetts, United States
Lauren Fisher, PhD (she/her/hers)
Assistant Professor
Massachusetts General Hospital / Harvard Medical School
Boston, Massachusetts, United States
Jennifer L. L. Greenberg, Psy.D.
Psychologist/Assistant Professor
Massachusetts General Hospital/Harvard Medical School
Boston, Massachusetts, United States
Hilary Weingarden, Ph.D. (she/her/hers)
Psychologist/Assistant Professor
Massachusetts General Hospital
Boston, Massachusetts, United States
Oliver Harrison, MA, MBBS, MPH
CEO
Koa Health
Barcelona, Catalonia, Spain
Sabine Wilhelm, Ph.D. (she/her/hers)
Professor, HMS; Chief of Psychology, MGH; Director, Center for Digital Mental Health, MGH
Harvard Medical School
Boston, Massachusetts, United States
Smartphones could enhance CBT for depression. Users may frequently and flexibly access bite-size CBT content, review and practice skills, and thereby achieve better outcomes. Yet, little is known about how users spontaneously access content and the effects of such choices. Participants (N=26) were enrolled in an 8-week, therapist-guided smartphone CBT for depression. For each participant, we calculated overall use (i.e., total number of app interactions), within-module use (i.e., interactions with content from current module), and between-module use (i.e., interactions with content from a previous module). We examined the degree to which people repeated and revisited content and relationship between overall, within-, and between-module interactions and baseline and end-of-treatment symptoms. Eighteen people (69%) completed all content and 14 (53%) used content more than was required. Overall number of interactions varied widely (Mean=71.54, Median=63, SD=31.89) and was not associated with symptom severity. Within modules, most participants consistently used content more than was required to progress and tended to return to all types of content rather than focus on one skill. By contrast, only 15 people ever revisited prior content, revisit frequency was low (Mean=4.08, Median=1, Mode=0), and revisits were associated with more severe baseline and end-of-treatment depression. Neither total number nor within-module interactions was associated with symptom severity. We found that providing content at users’ fingertips can translate to flexible review or use of skills for many; this is encouraging as depression is characterized by low motivation and energy. However, that module revisits were uncommon and associated with greater depressive symptoms raises additional questions, including whether users naturally gravitate towards the type and frequency of skills practice most likely to benefit them. Overall, results support that frequency of use is an insufficient engagement metric. The nuance of what people are using and when is essential for personalizing recommendations, improving app design, and yielding better outcomes for depression.