Enhancing the scalability of the collaborative care model for depression using mobile technology

2020 ◽  
Vol 10 (3) ◽  
pp. 573-579
Author(s):  
Kelly E Carleton ◽  
Urvashi B Patel ◽  
Dana Stein ◽  
David Mou ◽  
Alissa Mallow ◽  
...  

Abstract The collaborative care model (CoCM) has substantial support for improving behavioral health care in primary care. However, large-scale CoCM adoption relies on addressing operational and financial implementation challenges across health care settings with varying resources. An academic medical center serving socioeconomically and racially diverse patients implemented the CoCM in seven practices. A smartphone application was introduced to facilitate CoCM care management during depression treatment (app-augmented CoCM). App features included secure texting, goal/appointment reminders, symptom monitoring, and health education material. A nonrandomized convenience patient sample (N = 807) was enrolled in app-augmented CoCM and compared with patients in standard CoCM (N = 3,975). Data were collected on clinical contact frequency, engagement, and clinical outcomes. App-augmented CoCM patients received more health care team contacts (7.9 vs. 4.9, p < .001) and shorter time to follow up compared with the standard CoCM sample (mean = 11 vs. 19 days, p < .001). App-augmented CoCM patients had clinical outcomes similar to the standard CoCM group (47% vs. 46% with ≥50% depression improvement or score <10), despite app-augmented patients having more prior depression treatment episodes. Further, the app-augmented group with greater app engagement demonstrated increased behavioral health appointment compliance, including more completed appointments and fewer no shows, and greater depression symptom improvement than those with less app engagement. App-augmented CoCM may improve patient engagement in treatment and provide opportunities to implement key CoCM elements without overburdening practice resources. CoCM sustainability and scalability in primary care may be enhanced by using this technology.

2013 ◽  
Vol 14 (1) ◽  
Author(s):  
Isabelle Vedel ◽  
Veronique Ghadi ◽  
Matthieu De Stampa ◽  
Christelle Routelous ◽  
Howard Bergman ◽  
...  

2015 ◽  
Vol 13 (5) ◽  
pp. 412-420 ◽  
Author(s):  
L. I. Solberg ◽  
A. L. Crain ◽  
M. V. Maciosek ◽  
J. Unutzer ◽  
K. A. Ohnsorg ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 625-625
Author(s):  
Michael Schoenbaum

Abstract This individual symposium abstract will focus another evidence-based approach to mental health treatment and in older adults, the collaborative care model. Collaborative care is a consultation-based approach in primary care that has been described with multiple clinical trials, with significant benefit for access and treatment. The Prevention of Suicide in Primary Care Elderly: Collaborative Trial (PROSPECT) using the collaborative care model found that those older adults receiving the intervention had a higher utilization of mental health treatment (psychotherapy and/or antidepressant treatment) and had a 2.2 times greater decline in suicidal ideation over 24 months. The authors will describe the utility of using the collaborative care model on the identification of suicidal ideation and subsequent mental health treatment for older adults. The authors will also share about challenges and successes related to collaborative care implementation in healthcare settings for older adults, and relevant policy and financing components for the model.


2021 ◽  
pp. 1-5
Author(s):  
Charles D. Brackett ◽  
Matthew Duncan ◽  
Joanne Fadale Wagner ◽  
Laura Fineberg ◽  
Sally Kraft

2021 ◽  
pp. appi.ps.2020002
Author(s):  
Leah M. Marcotte ◽  
Ashok Reddy ◽  
Lingmei Zhou ◽  
Anna Razliff ◽  
Jürgen Unützer ◽  
...  

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