Depression is one of the most common psychological comorbidities experienced throughout the cancer continuum. Elevated depressive symptoms in oncology patients is a major concern as unmanaged depressive symptoms in cancer patients is associated with poor health-related quality of life (HRQoL), poor adherence to cancer treatments, delayed return to work and baseline function, greater emergency department visits, and higher all-cause mortality. Behavioral interventions for the management of depression are efficacious, but scalability and implementation of these evidence-based interventions in oncology is limited. Health information technologies (HIT) provide an ideal opportunity to expedite the administration, scoring, and interpretation of depression screening with well-validated, brief and precise measurement tools that can capture actionable data to screen for depression, and deliver pragmatic and scalable evidence-based behavioral interventions that are proven to reduce depressive symptomatology across various other populations.
The study takes place across two distinct health systems in two major metropolitan areas-Chicago and Miami (Northwestern Medicine and University of Miami Health System). While across the two health systems (NM and UHealth), patients already receive EHR-delivered assessments that are linked to EPIC and real-time alerts sent to supportive oncology for patients with moderately to severely elevated symptoms, a lacking component is the integration of an evidence-based, HIT management program for elevated depressive symptoms.
The investigators will evaluate the effectiveness and the implementation of an evidence-based HIT behavioral treatment for cancer patients with elevated depressive symptoms. This HIT treatment combines systematic, electronic health record-integrated screening for depressive symptoms with an individually-tailored HIT interventions to address gaps in the treatment of depression among cancer patients. The investigators' specific aims are as follows:
Aim 1a. To further develop and refine My Wellbeing Guide, a web-based platform to optimize management of elevated depressive symptoms in ambulatory oncology in two large health systems.
Aim 1b. To establish the effectiveness of My Wellbeing Guide on depressive symptoms (i.e., primary outcome) and anxiety, HRQoL, and health services utilization (i.e. secondary outcomes), and putative mechanisms of action/mediators (e.g., self -efficacy) of My Wellbeing Guide on study outcomes compared to usual care.
Aim 1c. To evaluate the process of implementing My Wellbeing Guide and its impact on patient and system-level outcomes through electronic health record (EHR) extractions of Aim 1b patients, and through clinician, and hospital administrator interviews.
Aim 2. To identify facilitators and barriers to wide-scale implementation and expansion of My Wellbeing Guide through interviews and focus groups with stakeholders (clinicians, hospital administrators, and patients who participated in My Wellbeing Guide).
