PP40 Health Apps To Manage Depression: Can We Separate The Grain From The Chaff? EvalDepApps Project

IntroductionThe use of mobile applications in the treatment of health issues is more frequently becoming common practice. Apps are fast, versatile, and manageable tools that allow the empowerment of patients and professionals, and can reduce the possible stigmatization suffered by some patients, mainly in mental health. There are more than 325,000 health apps on the market, but their impact remains unclear. There are several initiatives to define how health applications should be assessed, however, all of them address only partial aspects of the evaluation. The theoretical frameworks existing to date highlight the need to develop new tools and methodologies to assess mobile applications whose objective is the management of specific pathologies.MethodsThe primary goal of the EvalDepApps project is to develop and pilot an assessment tool for mobile applications whose main objectives are the treatment, monitoring or social support of people suffering from depression. The project is inspired by the results and lessons learnt from a previous project, EVALAPPS, whose central aim was to develop a tool to assess health apps targeted toward the management of overweight and obesity. The first steps of the EvalDepApps project are: (i) to explore and characterize the current landscape of mobile applications available in the market to treat depression through a systematic appraisal, and (ii) to review the existing evidence about the effectiveness and safety of these applications through systematic research of the existing evidence.ResultsPreliminary results show that all the depression management studies were by design based on cognitive-behavioral therapy (CBT) interventions (n=17) and the main management tools included in the services (web or apps) are psychoeducation and coaching (14), together with self-monitoring and feedback messaging (13).ConclusionsMoreover, although health apps seem to be an interesting strategy to treat depression, there are very few apps available on the markets (30) and the supporting evidence is very limited. This result uncovers a need for further systematic and clinically oriented validation and testing of such apps.