Mobile mental health in community-based organizations: a stepped care approach to women’s mental health

Of every 10 women in rural India, one suffers from a common mental disorder such as depression. For many, depression goes untreated and is associated with increased morbidity and mortality rates. Several factors, specifically for women in rural India, including stigma, lack of provider mental health workforce, and travel times. Therefore, there is an urgent need to improve detection and treatment rates among women without overburdening the scarce mental health resources in rural India. 

The “Mobile Mental Health in Community-Based Organizations: A Stepped Care Approach to Women’s Mental Health” study aims to develop and implement a mobile mental health intervention for women through community-based organizations. The intervention is delivered in a stepped-care approach where women receive different levels of intervention depending on the severity of their mental health needs. 

Understanding practical alcohol measures in primary care to prepare for measurement-based care

Standardized measurements of unhealthy drinking and alcohol use disorder symptoms are integral to addressing alcohol problems. However, surprisingly little is known about how measures of alcohol consumption and alcohol use disorder symptoms function when they are used in real-world routine care settings and documented in electronic health records (EHRs).

We propose to leverage EHRs to understand how measures of alcohol consumption and DSM-5 alcohol use disorder symptoms function in the context of real-world routine care, including by understanding how these measures function psychometrically overall and across demographic groups (age, sex, race, and ethnicity) and how they are associated with subsequent health outcomes obtained from EHRs.

Improving opioid use disorder treatment using contingency management via mHealth

Deaths related to the opioid overdose epidemic remain at an all-time high across the country despite significant efforts to reduce them. There is a pressing need to support medication treatment for opioid use disorder (OUD) to help people stay in treatment and reduce the risk of overdose death and other serious health consequences of untreated addiction. Smartphone-based apps can facilitate the delivery of an evidence-based approach called contingency management that incentivizes use of medications for OUD, reduces use of non-prescribed opioids and improves retention in OUD treatment.

This study will leverage a commercially available smartphone app that can bring this much-needed behavioral support to patients receiving OUD treatment in a primary care clinic and in a specialty OUD treatment clinic. The approach offers a potentially non-labor intensive, cost-effective and highly scalable means of delivering OUD care.

Developing measurement-based care tools for addiction treatment clinics

This research develops and tests digital technology to help clinicians and patients systematically measure and monitor clinical progress during addiction treatment. The technology is being developed based on end-user input and user-centered design methods and will be pilot tested as an add-on to real-world care in an addiction treatment clinic.