Faculty Bibliography

BACKGROUND: National surveys indicate high rates of burnout, particularly among primary care physicians. Despite concerns about the impact of burnout on health outcomes, this relationship is not well studied. HealthyHearts NYC, funded through the EvidenceNOW initiative of the Agency for Healthcare Research and Quality is evaluating the effectiveness of practice facilitation to improve adoption of Million Hearts' evidence-based ABCS guidelines (Aspirin, Blood pressure control (BP), Cholesterol management, and Smoking cessation) in small-to-medium size primary care practices. This study examined the association between site characteristics and physicians' burnout, as well as the relationship with the ABCS outcomes. METHODS: We present data on 99 small practices working with the NYCDOHMH Primary Care Information Project, and 8 Federally Qualified Health Centers (FQHC) from the Community Health Care Association of New York State. Each provider from participating practice sites completed a survey that included a validated question assessing burnout that used a 5-point scale ranging from 1- no symptoms of burnout to 5- completely burned out. For sites with multiple providers, we calculated a site burnout score by extracting the maximum score within each site. The burnout level was dichotomously coded as 1- burned out, and 0- not burned out. Each site completed a practice survey to report site characteristics, including the number of providers (1 vs. 2 or more), Patient Centered Medical Home (PCMH) status (recognized vs. not recognized), average number of patient visits per week, and total number of support staff. We used logistic regression analysis to assess the association of practice site characteristics and burnout. We also calculated a composite measure for patients with multiple CVD risk factors to capture the extent to which targets are met across three of the outcome measures (ABC). We used ttests to assess the difference in ABCS and composite measures by burnout status. RESULTS: Overall, 19% of physicians reported burnout. A significant difference was detected for all ABCS measures by the sites' burnout status. Sites reporting burnout had higher rates of meeting aspirin, smoking, and composite measure targets, but lower rates of meeting BP and cholesterol target measures and were more likely to have achieved PCMH recognition. FQHCs reported higher rates of burnout compared with small practices. CONCLUSIONS: The overall rates of burnout were lower than reported in previous surveys. Lower burnout rates among small independent practices compared with FQHCs may be related to small practice providers' greater level autonomy. We will present additional data exploring organizational factors that may explain variation in burnout across these different practice settings. Finally, previous research has similarly found inconsistent associations between quality and burnout. Further studies are required to determine whether healthier workplaces also result in higher quality care

OBJECTIVE: To measure variation in payment rates under Medicare's Inpatient Prospective Payment System (IPPS) and identify the main payment adjustments that drive variation. DATA SOURCES/STUDY SETTING: Medicare cost reports for all Medicare-certified hospitals, 1987-2013, and Dartmouth Atlas geographic files. STUDY DESIGN: We measure the Medicare payment rate as a hospital's total acute inpatient Medicare Part A payment, divided by the standard IPPS payment for its geographic area. We assess variation using several measures, both within local markets and nationally. We perform a factor decomposition to identify the share of variation attributable to specific adjustments. We also describe the characteristics of hospitals receiving different payment rates and evaluate changes in the magnitude of the main adjustments over time. DATA COLLECTION/EXTRACTION METHODS: Data downloaded from the Centers for Medicare and Medicaid Services, the National Bureau of Economic Research, and the Dartmouth Atlas. PRINCIPAL FINDINGS: In 2013, Medicare paid for acute inpatient discharges at a rate 31 percent above the IPPS base. For the top 10 percent of discharges, the mean rate was double the IPPS base. Variations were driven by adjustments for medical education and care to low-income populations. The magnitude of variation has increased over time. CONCLUSIONS: Adjustments are a large and growing share of Medicare hospital payments, and they create significant variation in payment rates.

BACKGROUND: A clinical study team performing three multicultural dementia screening studies identified the need to improve data management practices and facilitate data sharing. A collaboration was initiated with librarians as part of the National Library of Medicine (NLM) informationist supplement program. The librarians identified areas for improvement in the studies' data collection, entry, and processing workflows. CASE PRESENTATION: The librarians' role in this project was to meet needs expressed by the study team around improving data collection and processing workflows to increase study efficiency and ensure data quality. The librarians addressed the data collection, entry, and processing weaknesses through standardizing and renaming variables, creating an electronic data capture system using REDCap, and developing well-documented, reproducible data processing workflows. CONCLUSIONS: NLM informationist supplements provide librarians with valuable experience in collaborating with study teams to address their data needs. For this project, the librarians gained skills in project management, REDCap, and understanding of the challenges and specifics of a clinical research study. However, the time and effort required to provide targeted and intensive support for one study team was not scalable to the library's broader user community.

BACKGROUND: Remote sensing (RS) is increasingly used for exposure assessment in epidemiological and burden of disease studies, including those investigating whether chronic exposure to ambient fine particulate matter (PM2.5) is associated with mortality. OBJECTIVES: To compare relative risk estimates of mortality from diseases of the circulatory system for PM2.5 modeled from RS with that for PM2.5 modeled using ground-level information. METHODS: We geocoded the baseline residence of 668,629 American Cancer Society Cancer Prevention Study II (CPS-II) cohort participants followed from 1982 to 2004 and assigned PM2.5 levels to all participants using seven different exposure models. Most of the exposure models were averaged for the years 2002-2004, while one RS estimate was for a longer, contemporaneous period. We used Cox proportional hazards regression to estimate relative risks (RR) for the association of PM2.5 with circulatory mortality and ischemic heart disease. RESULTS: Estimates of mortality risk differed among exposure models. The smallest relative risk was observed for the RS estimates that excluded ground-based monitors for circulatory deaths (RR = 1.02 (95% confidence interval (CI): 1.00-1.04 per 10 microg/m3 increment in PM2.5). The largest relative risk was observed for the land use regression model that included traffic information (RR = 1.14, 95% CI: 1.11-1.17 per 10 microg/m3 increment in PM2.5). CONCLUSIONS: We found significant associations between PM2.5 and mortality in every model; however, relative risks estimated from exposure models using ground-based information were generally larger than those estimated with RS alone.

The World Trade Center (WTC) disaster released large amounts of various chemical substances into the environment, including perfluoroalkyl substances (PFASs). Yet, no studies have examined exposures in children living or attending schools near the disaster site. We measured serum PFASs in WTC Health Registry (WTCHR) respondents who were