Background: Social determinants affect health, yet there are few systematic clinical strategies in primary care that leverage electronic health record (EHR) automation to facilitate screening for social needs and resource referrals. An EHR-based social determinants of health (SDOH) screening and referral model, adapted from the WE CARE model for pediatrics, was implemented in urban adult primary care. Objectives: This study aimed to: (1) understand the burden of SDOH among patients at Boston Medical Center; and (2) evaluate the feasibility of implementing a systematic clinical strategy to screen new primary care patients for SDOH, use EHR technology to add these needs to the patient’s chart through autogenerated ICD-10 codes, and print patient language-congruent referrals to available resources upon patient request. Research Design: This observational study assessed the number of patients who were screened to be positive and requested resources for social needs. In addition, we evaluated the feasibility of implementing our SDOH strategy by determining the proportion of: eligible patients screened, providers signing orders for positive patient screenings, and provider orders for resource referral guides among patients requesting resource connections. Results: In total, 1696 of 2420 (70%) eligible patients were screened. Employment (12%), food insecurity (11%), and problems affording medications (11%) were the most prevalent concerns among respondents. In total, 367 of 445 (82%) patients with ≥1 identified needs (excluding education) had the appropriate ICD-10 codes added to their visit diagnoses. In total, 325 of 376 (86%) patients who requested resources received a relevant resource referral guide. Conclusions: Implementing a systematic clinical strategy in primary care using EHR workflows was successful in identifying and providing resource information to patients with SDOH needs.

Residency PCs experienced improvements in mental quality of life, resiliency, stress, and sleep scores on attending the wellness program. Attention to such findings may have important implications, as we address the burnout crisis in the medical education community.

Background Little is known about the level of burnout among program administrators (PAs) working in graduate medical education. Objective We created a national database with baseline burnout data for PAs from residency and fellowship programs, including intention to leave their current positions. Methods A cross-sectional study was conducted in July 2017 to assess levels of burnout in a national cohort of PAs, who were largely members of online specialty forums. The Copenhagen Burnout Inventory (CBI) was used to measure burnout. Univariate analysis produced descriptive statistics for CBI. We performed a 2-sample t test to measure differences in average burnout scores for those who had thoughts of resigning from their positions and those who had not. Results Of the approximately 10 205 national PAs, we sampled 1126 (11%). Of the 1126 individuals who received the study information, 931 (83%) completed the baseline survey. Total mean scores for all subscales were elevated (personal: 53.7, SD 21.4; work-related: 52.0, SD 22; and client-related: 30.6, SD 20.8; each scale ranged from 0, low, to 100, high). Burnout scores differed between those contemplating leaving their jobs and those who were not, across all subscales of CBI, including personal (64.2 versus 42.4,-24.18 to-19.44 confidence interval [CI]), work-related (63.5 versus 39.7,-26.12 to-21.35 CI), and client-related (36.6 versus 24.2,-14.95 to-9.84 CI; P , .0001 for all). Conclusions In this national survey of PAs, burnout scores measured by the CBI were higher among those who had considered leaving their positions.