Do baseline participant characteristics impact the effectiveness of a mobile health intervention for depressive symptoms? A post-hoc subgroup analysis of the CONEMO trials

Abstract

Objective: To ascertain whether sociodemographic and health-related characteristics known from previous research to have a substantive impact on recovery from depression modified the effect of a digital intervention designed to improve depressive symptoms (CONEMO). Methods: The CONEMO study consisted of two randomized controlled trials, one conducted in Lima, Peru, and one in São Paulo, Brazil. As a secondary trial plan analysis, mixed logistic regression was used to explore interactions between the treatment arm and subgroups of interest defined by characteristics measured before randomization – suicidal ideation, race/color, age, gender, income, type of mobile phone, alcohol misuse, tobacco use, and diabetes/hypertension – in both trials. We estimated interaction effects between the treatment group and these subgroup factors for the secondary outcomes using linear mixed regression models. Results: Increased effects of the CONEMO intervention on the primary outcome (reduction of at least 50% in depressive symptom scores at 3-month follow-up) were observed among older and wealthier participants in the Lima trial (p = 0.030 and p = 0.001, respectively). Conclusion: There was no evidence of such differential effects in São Paulo, and no evidence of impact of any other secondary outcomes in either trial. Clinical trial registration: NCT02846662 (São Paulo, Brazil – SP), NCT03026426 (Lima, Peru – LI). Funded by the U.S. National Institute of Mental Health (grant U19MH098780).

Keywords

• Digital technology
• behavioral research
• depression
• randomized controlled trial
• mobile applications