Collaborative Care Models for Comorbid Medical and Behavioral Health Conditions

2013 ◽  
Vol 11 (4) ◽  
pp. 501-508 ◽  
Author(s):  
Lori Raney ◽  
Roger Kathol ◽  
Paul Summergrad
2019 ◽  
Author(s):  
Danielle M. Gainer ◽  
Karley B. Fischer ◽  
Parvaneh K. Nouri

Integrated care models allow a team of providers to interact in a systematic manner, producing cost-effective and superior outcomes for patients. The collaborative care model (CCoM), one type of integrated care, has emerged as one approach with over 80 randomized controlled trials to support its efficacy. In this model, a behavioral health provider offers evidence-based, brief interventions but also serves as a liaison between the patient, medical providers, and the psychiatric consultant. The team also monitors outcomes through a registry and provides a stepped care approach to adjust interventions collaboratively, as needed. If the barriers to integrated care implementation are surmounted, psychiatrists working as consultants in this model can provide care in an efficient and sustainable manner. This review contains 5 figures, 5 tables, and 48 references. Key Words: barriers to implementation, behavioral health provider, collaborative care, cost-effective, integrated care, psychiatric consultant, cost-effective, registry, stepped care


2021 ◽  
Vol 27 (2) ◽  
pp. 146045822110099
Author(s):  
Hiral Soni ◽  
Julia Ivanova ◽  
Adela Grando ◽  
Anita Murcko ◽  
Darwyn Chern ◽  
...  

This pilot study compares medical record data sensitivity (e.g., depression is sensitive) and categorization perspective (e.g., depression categorized as mental health information) of patients with behavioral health conditions and healthcare providers using a mixed-methods approach employing patient’s own EHR. Perspectives of 25 English- and Spanish-speaking patients were compared with providers. Data categorization comparisons resulted in 66.3% agreements, 14.5% partial agreements, and 19.3% disagreements. Sensitivity comparisons obtained 54.5% agreement, 11.9% partial agreement, and 33.6% disagreements. Patients and providers disagreed in classification of genetic data, mental health, drug abuse, and physical health information. Factors influencing patients’ sensitivity determination were sensitive category comprehension, own experience, stigma towards category labels (e.g., drug abuse), and perception of information applicability (e.g., alcohol dependency). Knowledge of patients’ sensitivity perceptions and reconciliation with providers could expedite the development of granular and personalized consent technology.


2016 ◽  
Vol 67 (9) ◽  
pp. 996-1003 ◽  
Author(s):  
Kelly C. Young-Wolff ◽  
Andrea H. Kline-Simon ◽  
Smita Das ◽  
Don J. Mordecai ◽  
Chris Miller-Rosales ◽  
...  

2019 ◽  
Vol 59 (2) ◽  
pp. 148-153 ◽  
Author(s):  
Kimberly Burkhart ◽  
Kenneth Asogwa ◽  
Nida Muzaffar ◽  
Mary Gabriel

Psychiatric disorders are becoming more frequently diagnosed within the pediatric primary care setting. Despite increased diagnosis within primary care, only a minority of patients receive further psychiatric or specialty care. The integrated/collaborative care treatment model was designed to improve access within primary care. The purpose of this review is to identify randomized controlled trials and quasi-experimental studies that have investigated whether increased access improves treatment engagement, satisfaction, and improved mental health outcomes. Six studies met inclusion criteria. Studies reviewed indicated increased access to behavioral health treatment through use of the integrated/collaborative care model and improved mental health outcomes. Recommendations for screening and treatment are provided. Limitations of the reviewed studies include lack of generalizability to urban populations, minority youth, and youth younger than 4 years of age. Practice recommendations to address these limitations are identified.


2016 ◽  
Vol 25 (11) ◽  
pp. 3192-3203 ◽  
Author(s):  
Michael J. McCarthy ◽  
Rachel R. Smith ◽  
Jeffrey Schellinger ◽  
Gretchen Behimer ◽  
Daniel Hargraves ◽  
...  

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