Publications

OBJECTIVE

Aiming to foster timely, high-quality mental health care for Veterans, VA's Primary Care-Mental Health Integration (PC-MHI) embeds mental health specialists in primary care and promotes care management for depression. PC-MHI and patient-centered medical home providers work together to provide the bulk of mental health care for primary care patients with low-to-moderate-complexity mental health conditions. This study examines whether increasing primary care clinic engagement in PC-MHI services is associated with changes in patient health care utilization and costs.

METHODS

We performed a retrospective longitudinal cohort study of primary care patients with identified mental health needs in 29 Southern California VA clinics from October 1, 2008 to September 30, 2013, using electronic administrative data (n = 66,638). We calculated clinic PC-MHI engagement as the proportion of patients receiving PC-MHI services among all primary care clinic patients in each year. Capitalizing on variation in PC-MHI engagement across clinics, our multivariable regression models predicted annual patient use of 1) non-primary care based mental health specialty (MHS) visits, 2) total mental health visits (ie, the sum of MHS and PC-MHI visits), and 3) health care utilization and costs. We controlled for year- and clinic-fixed effects, other clinic interventions, and patient characteristics.

RESULTS

Median clinic PC-MHI engagement increased by 8.2 percentage points over 5 years. At any given year, patients treated at a clinic with 1 percentage-point higher PC-MHI engagement was associated with 0.5% more total mental health visits (CI, 0.18% to 0.90%; = .003) and 1.0% fewer MHS visits (CI, -1.6% to -0.3%; = .002); this is a substitution rate, at the mean, of 1.5 PC-MHI visits for each MHS visit. There was no PC-MHI effect on other health care utilization and costs.

CONCLUSIONS

As intended, greater clinic engagement in PC-MHI services seems to increase realized accessibility to mental health care for primary care patients, substituting PC-MHI for MHS visits, without increasing acute care use or total costs. Thus, PC-MHI services within primary care clinics may improve mental health care value at the patient population level. More research is needed to understand the relationship between clinic PC-MHI engagement and clinical quality of mental health care.

PURPOSE

Primary care physicians (PCP) experience high rates of professional burnout. These symptoms may be magnified in underserved populations. This study explores relationships between clinic capacity to address patients' social needs (SN) and PCP burnout.

METHODS

We conducted a cross-sectional survey of PCPs from three delivery systems in San Francisco. Surveys included three components of burnout, measured by the Maslach Burnout Inventory (MBI) and a four-item instrument exploring attitudes, confidence, individual skills and organizational capacity to address patients' SN.

RESULTS

Provider perception of higher clinic capacity to address patients' SN was the strongest independent predictor of lower burnout. Providers who perceived high clinic capacity and resources to address SN reported significantly greater professional efficacy (p <.01), lower emotional exhaustion (p <.05), and lower cynicism (p <.05).

CONCLUSIONS

Provider perceptions of greater clinic capacity to address SN are significantly associated with lower burnout. Devoting organizational resources to address SN may reduce PCP burnout.

In the last few years, interest in the optical diagnosis of colorectal polyps has increased among gastroenterologists. Several studies have shown that the optical diagnosis of small colorectal polyps is safe and feasible in routine clinical practice and is comparable to histopathology. The Narrow-band Imaging International Colorectal Endoscopic Classification provides a validated criterion for the classification of neoplastic and nonneoplastic polyps as well as polyps with deep submucosal invasion using narrow band imaging during real-time colonoscopy. The aim of the present review is to assess the current evidence for and limitations of optical diagnosis and to propose a systematic approach for transferring research findings to patient care.