Assessment of structured data elements for social risk factors.

OBJECTIVES: Computable social risk factor phenotypes derived from routinely collected structured electronic health record (EHR) or health information exchange (HIE) data may represent a feasible and robust approach to measuring social factors. This study convened an expert panel to identify and assess the quality of individual EHR and HIE structured data elements that could be used as components in future computable social risk factor phenotypes. STUDY DESIGN: Technical expert panel. METHODS: A 2-round Delphi technique included 17 experts with an in-depth knowledge of available EHR and/or HIE data. The first-round identification sessions followed a nominal group approach to generate candidate data elements that may relate to socioeconomics, cultural context, social relationships, and community context. In the second-round survey, panelists rated each data element according to overall data quality and likelihood of systematic differences in quality across populations (ie, bias). RESULTS: Panelists identified a total of 89 structured data elements. About half of the data elements (n = 45) were related to socioeconomic characteristics. The panelists identified a diverse set of data elements. Elements used in reimbursement-related processes were generally rated as higher quality. Panelists noted that several data elements may be subject to implicit bias or reflect biased systems of care, which may limit their utility in measuring social factors. CONCLUSIONS: Routinely collected structured data within EHR and HIE systems may reflect patient social risk factors. Identifying and assessing available data elements serves as a foundational step toward developing future computable social factor phenotypes.

The iatrogenic epidemic of prescription drug abuse: county-level determinants of opioid availability and abuse.

BACKGROUND: Opioid use and abuse in the United States continues to expand at an alarming rate. In this study, we examine the county-level determinants of the availability and abuse of prescription opioids to better understand the socio-ecological context, and in particular the role of the healthcare delivery system, on the prescription drug abuse epidemic. METHODS: We use community-level information, data from Indiana's prescription drug monitoring program in 2011, and geospatial regression methods to identify county-level correlates of the availability and abuse of prescription opioids among Indiana's 92 counties. RESULTS: The findings suggest that access to healthcare generally, and to dentists and pharmacists in particular, increases the availability of prescription opioids in communities, which, in turn, is associated with higher rates of opioid abuse. CONCLUSIONS: The results suggest that the structure of the local healthcare system is a major determinant of community-level access to opioids adding to a growing body of evidence that the problem of prescription opioid abuse is, at least in part, an "iatrogenic epidemic."

Service utilization, expenditures, and success in a well-established system of care for young people with serious emotional disorders.

A major challenge in the implementation of systems of care is creating mechanisms to pay for services that are provided across social services systems and by multiple agencies. Using a managed care approach to coordinate service provision may be one way to effectively bridge the gap across agencies while also providing quality care. The authors explore the benefits of a managed care approach to service delivery within a well established system of care by describing the treatment planning process used by the system of care; describing the type and patterns of services provided to young people; and by describing the process used to bill for services. The authors also examine the impact of client and service characteristics on overall expenditures as well as the effect that patterns of service utilization and expenditures of care have on the likelihood that young people and their families will successfully meet their clinical objectives.

The Dawn Project: a model for responding to the needs of children with emotional and behavioral challenges and their families.

Systems of care represent a fundamental departure from traditional service provision by espousing genuine family-centered, culturally competent philosophies and blending the funding streams of multiple payers (e.g., education, mental health, child welfare). In Marion County, Indiana, local leaders created a system of care based on these principles called the Dawn Project. Currently, a comprehensive, multidisciplinary evaluation is being implemented to evaluate the program. Preliminary findings from initial evaluation efforts suggest that for youth in the project, there is significant clinical improvement during the first year of receiving services, a reduction in the use of more restrictive settings, and a decrease in recidivism among those who successfully complete the program.