Evaluation of an On-Demand Mental Health System for Depression Symptoms: Retrospective Observational Study (Preprint)

Abstract

BACKGROUND Depression is an extremely prevalent issue in the United States, with an estimated 7% of adults experiencing at least one major depressive episode in 2017. Although psychotherapy and medication management are effective treatments for depression, significant barriers in accessing care persist. Virtual care can potentially address some of these obstacles. OBJECTIVE We conducted a preliminary investigation of utilization characteristics and effectiveness of an on-demand health system for reducing depression symptoms. METHODS Data were analyzed from 1662 users of an on-demand mental health system that includes behavioral health coaching, clinical services (therapy and psychiatry), and self-guided content and assessments primarily via a mobile app platform. Measures included engagement characterized by mobile app data, member satisfaction scores collected via in-app surveys, and depression symptoms via the Patient Health Questionnaire-2 (PHQ-2) at baseline and 8-12 week follow-up. Descriptive statistics are reported for measures, and pre/post-PHQ-2 data were analyzed using the McNemar test. A chi-square test was used to test the association between the proportion of individuals with an improvement in PHQ-2 result and care modality (coaching, therapy, and psychiatry, or hybrid). RESULTS During the study period, 65.5% of individuals (1089/1662) engaged only in coaching services, 27.6% of individuals (459/1662) were engaged in both coaching and clinical services, 3.3% of individuals (54/1662) engaged only in clinical services, and 3.7% of individuals (61/1662) only used the app. Of the 1662 individuals who completed the PHQ-2 survey, 772 (46.5%) were considered a positive screen at intake, and 890 (53.6%) were considered a negative screen at intake. At follow-up, 477 (28.7%) of individuals screened positive, and 1185 (71.3%) screened negative. A McNemar test showed that there was a statistically significant decrease in the proportion of users experiencing depressed mood and anhedonia more than half the time at follow-up (<i>P</i><.001). A chi-square test showed there was no significant association between care modality and the proportion of individuals with an improvement in PHQ-2 score. CONCLUSIONS This study provides preliminary insights into which aspects of an on-demand mental health system members are utilizing and levels of engagement and satisfaction over an 8-12 week window. Additionally, there is some signal that this system may be useful for reducing depression symptoms in users over this period. Additional research is required, given the study limitations, and future research directions are discussed.

Analysis of Start-Up Digital Mental Health Platforms for Enterprise: Opportunities for Enhancing Communication between Managers and Employees

“…To add value to the culture of an organization, there is an appreciation that wellness should be applied across multi domains to provide workers with sustainable mental health outcomes. Examples include mindfulness, fitness, and nutrition programs [48]. Interestingly, in our analysis, wellness approaches (if included on the platform) tended to focus on mindfulness.…”

“…This is facilitated by individual end user sensor data collected through a patient's phone and self-reported information to track patient activities. The app can identify when help is required and provide behavioral coaching [48]. By continuously monitoring the user, Ginger.io may be more effective at targeting care to when the patient is perceived to need it through biomarkers and self-reports.…”