Treating Depression on a Day-to-day Basis: Development of a Tool for Physicians Based on a Smartphone Application

Study Overview
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Brief Summary
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Testing and validating an e-health (smartphone application) approach to better understand the determinants of day-to-day symptomatology in depression, medication adherence, and treatment efficacy in the goal of maximizing patient care.

Detailed Description
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In industrialized countries, depression is the leading cause of disability with a cumulative DALY (disability adjusted life years) that his greater than all the other psychiatric or medical conditions (WHO, 2004). Although the medical treatment is efficient for a large number of patients, two major pitfalls can be highlighted: i). the difficulty to identify and alter risk factors related to therapeutic observance; and ii). the heterogeneous presentation of depression, which may require specific interventions depending on the clinical presentation of the patient. Ecological Momentary Assessment (EMA; also referred to as the Experience Sampling Method) is a method used to gather and interpret real-time data collected in the contexts of daily life through mobile technologies (Stone 1994). It has been used extensively in the field of psychiatry and specifically in mood disorders and it has been shown to be both feasible for patients with depression (Husky 2010, Swendsen 2012) and effective in identifying determinants of mood fluctuations and medication observance (Myin Germeys 2003, Ebner-Primer 2009, Solhan 2009, Silk 2011, Wichers 2010, Rot 2012, Armey 2015, Wenze 2010, Armey 2015). The restitution of the data to patients also has an important added benefit in terms of prognosis, as patients are better integrated in their own care (Wichers 2011, Kramer 2014). Although EMA has been shown to offer promising advantages, it has also been limited by the technical solutions used to gather information on daily life experiences. Rather than using research-dedicated devices which represent the majority of existing tools, the development of an application-based solution could revolutionize the field by creating the first effective and widely-diffusable tool to help clinicians better manage depression with the collaboration of their patients. This application would be designed to help patients monitor their symptoms, while providing regular interventions to increase medication. This is a randomized study in two groups to test and validate an e-health (smartphone application) approach to better understand the determinants of day-to-day symptomatology in depression, medication adherence, and treatment efficacy in the goal of maximizing patient care. In this multicentric study, 200 patients with a DSM-V diagnosis of depression are recruited. Participants will be assessed by: Hetero-evaluations: diagnostic (MINI), depressive symptomatology (HDRS), clinical impression (CGI). Auto-evaluations: depressive symptomatology (BDI), medication adherence (MARS), Quality of Life (Q-LES-Q-SF), therapeutic alliance (4PAS). Two groups will be formed by randomization (100 per groups): Groupe SMART: smartphone (experimental group). This group will performed all clinical evaluations and will download the study application on their smartphone to answer daily questionnaires about symptom severity, medication adherence, during 6 weeks. Participants will be given a smartphone, if the subject does not have one. Clinical visits with psychiatrist will be performed every two weeks, with questionnaires to fill. Groupe TAU: Treatment as Usual (control group). This group will performed all clinical evaluations and have the same follow-up as the intervention group, but without smartphone application. Expected results Patient benefit: The principle expected benefit for patients concerns their more active participation in their own health care, in the philosophy that the better they understand their disorder and the triggers of symptom expression, the better than can intervene to improve their mental health. Clinician benefit: It can provide high resolution data of depressive symptoms, therapeutic adherence and symptoms fluctuations on his patients, to better follow the remission or to adjust treatment daily dose.

Official Title
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Treating Depression on a Day-to-day Basis: Development of a Novel Clinical Tool for Physicians Based on a Smartphone Application, the SMART Project (Smartphones and Mood Disorders, an Application for Research and Treatment)

Conditions
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Depression, Psychiatric Disorder, Brain Diseases, Central Nervous System Diseases, Nervous System Diseases

Intervention / Treatment
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* Device: Smartphone Support System


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Age between 18 and 65 years; Fulfilling the Diagnostic and Statistical Manual version IV (DSM-IV) criteria of depression assessed by the Structured Clinical Interview; Patients started their antidepressant treatment less than 5 days before inclusion; Patient treated in an outpatient setting; Patient informed of the diagnosis of his disease; Informed patient with written consent. Exclusion Criteria: A current mental or psychiatric impairment or disease (schizophrenia, bipolar disorder) that required psychotropic medication or inpatient treatment on a psychiatric ward; A history of psychosis, including schizophrenia, bipolar I or bipolar II disorder, and major depressive disorder with psychotic features; Cognitive deficit and not thus being able to comprehend the informed consent and study procedure; Patients with somatic, cognitive or other disorders preventing the use of the device (deafness, impaired vision, illiteracy….); Non-comprehension of the French language

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 65 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Supportive Care
Allocation: Randomized
Intervention Model: Parallel Assignment
Interventional Model Description: 200 patients with a DSM-V diagnosis of depression are recruited. Patients are randomly assigned to receive either a 6 weeks smartphone application with daily evaluations, or no application.
Masking: Single


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Smartphone application<br>This group of subjects receives mobile support system and conventional treatment (clinical evaluation and follow-up). The smartphone application will be downloaded on patients' smartphone to daily evaluate symptomatology, medication adherence… | Device: Smartphone Support System<br>* 6 weeks smartphone application with daily evaluations<br>|
| No Intervention: Standard services<br>This group of patients receives conventional treatment only. Clinical evaluations are provided at the same endpoint. Patients still receive standard services for depression. | |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| A greater clinical response in the active group (smartphone application) comparatively to the comparator group (clinical response was defined as a decline in HDRS-17 score greater than 50%) | HDRS Hamilton Depressive Rating Scale. Changes in HDRS scores of at least 50% at 8 weeks. | Baseline (pre-treatment). 8 weeks post-baseline | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Improvement in scores for therapeutic alliance | Measurement by the 4PAS (4-Point Ordinal Alliance Self-Report) | baseline (pre-treatment). 8 weeks post-baseline | 
| Improvement in scores for medication adherence | Measurement by the MARS (Medical Adherence Rating Scale) | 8 weeks after enrollment | 
| Improvement in scores for Quality of Life | Measurement by the Q-LES-Q-SF (Quality of Life Enjoyment and Satisfaction Questionnaire - Short Form) | 8 weeks after enrollment | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Depression, Smartphone, Relapse prevention, Mobile support system, eHealth, Ecological, Randomized, Multicentric