Mobile Technology to Engage and Link Patients and Providers in Antidepressant Treatment (MedLink)

The goal of this project is to develop and pilot a mobile smartphone delivered intervention that will improve antidepressant medication care by providing medication adherence monitoring and support to the patient, feedback on patient adherence and response to treatment to the primary care team, and information to both patients and providers on guideline-congruent care personalized to the patient's response to antidepressant medication.

Major depressive disorder (MDD) is common and imposes a very high societal burden in terms of cost, morbidity, suffering, and mortality. While primary care is the de facto site for treatment of MDD, outcomes in primary care are poor. Two principal reasons for the poor outcomes in primary care are poor patient adherence to antidepressant medications (ADMs) and the failure of physicians to provide guideline-congruent care. This problem is aggravated by a lack of communication between patients and the care team.

A growing body of research indicates that primary care-centered strategies aimed at enhancing guideline-congruent care have not been effective. Interventions aimed at improving adherence in the patient have been successful in changing patient adherence behavior; however these frequently fail to improve depression outcomes, particularly when there is no intervention on the physician side to encourage optimization of ADMs. Recent developments in information and communications technologies (ICT) have opened new opportunities to improve health and mental health care, and to link patients and their providers. This study harnesses these advances to develop and pilot a system where ADM adherence will be passively measured using an electronic pill dispenser. The dispenser is connected to a mobile smartphone via Global System for Mobile Communications (GSM), so that targeted, timely reminders can be provided when the patient fails to take the ADM. When the patient is adherent, the patient will not be bothered with reminders. Depressive symptoms and side-effects will be periodically monitored weekly via the phone. Every 4 weeks, or if indicated (e.g intolerable side effects or urgent situations), primary care teams will receive notifications via the electronic medical record that include a summary of patient data on treatment response and side effects, guideline-congruent treatment recommendations based on patient data and a recommendation to contact the patient, if indicated. Simultaneously, a similar message will be provided to the patient, including feedback, possible treatment options, and a recommendation to contact the physician's office. Thus, both the patient and care team will be activated to provide, request and adhere to guideline-congruent care.

The aim of this 8 week field trial is to develop and pilot the MedLink system. Development will employ an iterative user-centered approach. Primary outcome will be patient adherence; secondary outcomes will be depression, system use, and usability and satisfaction.

Eligibility Criteria:
Inclusion Criteria:

* Has been prescribed an antidepressant medication by a Primary Care Provider, but has not yet initiated treatment
* Has depression determined by primary care physician
* Is familiar with the use of mobile phones
* Is able and willing to carry the mobile phone
* Is able to speak and read English
* Is at least 18 years of age

Exclusion Criteria:

* Is current taking an antidepressant medication or has taken one in the previous 3 months
* Has visual, hearing, voice, or motor impairment that would prevent completion of study procedures or use of mobile phone
* Is diagnosed with a psychotic disorder, bipolar disorder, dissociative disorder, current substance dependence, or other diagnosis for which participation in this trial is either inappropriate or dangerous. Patients with substance dependence diagnoses who have been clean and sober for 12 months will be admitted if otherwise eligible
* Is severely suicidal (has ideation, plan, and intent)