Accountable Care Organizations and Health Disparities of Rural Latinos: A Longitudinal Analysis.

The purpose of this study was 2-fold: (1) to analyze the change in diabetes-related hospitalization rates of rural Latino older adult patients as compared with their White counterparts and (2) to determine what factors, including rural health clinic (RHC) participation in accountable care organizations (ACOs), are related to reduced disparities in diabetes-related hospitalization rates. Data for Latino Medicare beneficiaries who were served by RHCs over an 8-year period were analyzed. First, a difference-of-means test was conducted to determine whether there was a change in disparity from the pre-ACO period (2008-2011) to the post-ACO period (2012-2015). A statistically significant decrease in disparity over time was found (t = -7.6899, df = 115, P < 0.001.) Second, multiple regression analyses of 3 separate models were conducted to determine whether ACO participation contributed to reducing disparities in diabetes-related hospitalization rates between Latinos and Whites. The analyses indicated moderate evidence that consistent ACO participation is associated with lower health disparities (t = -1.947, P = 0.0525). However, this association is not significant after balancing covariates, and no causal relationship can be established. Latinos compose one of the fastest growing groups in rural as well as urban areas of the United States. It is critical that ACOs, with their emphasis on care coordination, health care quality, and value, monitor their provision of services to Latinos, rural, and other vulnerable populations.

Trends in Health Disparities of Rural Latinos Pre- and Post-Accountable Care Organization Implementation.

Purpose: We present findings from a longitudinal investigation, the purpose of which was to compare health disparities of rural Latino older adult patients diagnosed with diabetes to their non-Latino White counterparts. Methodology/Approach: A pre-post design was implemented treating Medicare Accountable Care Organization (ACO) participation by Rural Health Clinics (RHCs) as an intervention, and using diabetes-related hospitalizations to measure disparities. Data for a nationwide panel of 2,683 RHCs were analyzed for a study period of eight years: 2008 - 2015. In addition, data were analyzed for a subset of 116 RHCs located in Florida, Texas, and California that participated in a Medicare ACO in one or more years of the study period. Findings: Two broad findings resulted from this investigation. First, for both the nationwide panel of RHCs and the three-state sample of "ACO RHCs," there was a decrease in the mean disparities in diabetes-related hospitalization rates over the eight-year study period. Second, in comparing a three-year time period after Medicare ACO implementation in 2012 to a four-year period before the implementation, a statistically significant difference in mean disparities was found for the nationwide panel. Research limitations/implications: There are a number of factors that may contribute to the decrease in diabetes-related hospitalization rates for Latinos in more recent years. Future research will identify specific contributors to reducing diabetes-related hospitalization disparities between Latinos and the general population, including the possible influence of ACO participation by RHCs. Originality/Value of Paper: This paper presents original research conducted using data related to rural Latino older adults. The data represent multiple states and an eight-year time period. The U.S. Latino population is growing at a rapid pace. As a group, they are at a high risk for developing diabetes, the complications of which are serious and costly to the patient and the U.S. healthcare system. With the continued growth of the Latino population, it is critical that their health disparities be monitored, and that factors that contribute to their health and well-being be identified and promoted.

Impact of Nurse Practitioner Practice Regulations on Rural Population Health Outcomes.

Background: For decades, U.S. rural areas have experienced shortages of primary care providers. Nurse practitioners (NPs) are helping to reduce that shortage. However, NP scope of practice regulations vary from state-to-state ranging from autonomous practice to direct physician oversight. The purpose of this study was to determine if clinical outcomes of older rural adult patients vary by the level of practice autonomy that states grant to NPs. Methods: This cross-sectional study analyzed data from a sample of Rural Health Clinics (RHCs) (n = 503) located in eight Southeastern states. Independent t-tests were performed for each of five variables to compare patient outcomes of the experimental RHCs (those in “reduced practice” states) to those of the control RHCs (in “restricted practice” states). Results: After matching, no statistically significant difference was found in patient outcomes for RHCs in reduced practice states compared to those in restricted practice states. Yet, expanded scope of practice may improve provider supply, healthcare access and utilization, and quality of care (Martsolf et al., 2016). Conclusions: Although this study found no significant relationship between Advanced Registered Nurse Practitioner (ARNP) scope of practice and select patient outcome variables, there are strong indications that the quality of patient outcomes is not reduced when the scope of practice is expanded.

Cost of Practice Transformation in Primary Care: Joining an Accountable Care Organization.

The purpose of this study is to examine the costs related to practice transformation from the perspective of primary care organizations transitioning to become participants in Accountable Care Organizations (ACOs). We pose two research questions: 1) Will a Rural Health Clinic that participates in an Accountable Care Organization see higher or lower cost per visit, and 2) If the cost per visit is higher or lower, how large will that difference be? We analyze administrative data from a panel of over 800 Rural Health Clinics for the period 2007 - 2013 using a treatment effects approach, where a clinic's participation in an ACO is viewed as a "treatment." Since the first year that an RHC could join an ACO was 2012 and our most recent year of complete data is 2013, we restricted our analysis of the impact of participation in an ACO to include only 2012 and 2013 data. The estimates of the average treatment effect on the treated (ATET) pertain to only those RHCs that joined ACOs. The results show that those 20 sample ACO RHCs experienced an average from $15.00 to $18.61 higher cost per visit than the matching non-ACO RHCs. At this very early stage of ACO development, our results must be considered very preliminary at best. Whatever conclusions we draw from these results are intended to merely suggest what might be found once many more RHCs join ACOs. The conclusions we draw from this early analysis can lay a foundation for more analysis after data are available when more RHCs join ACOs.

Costs of accountable care organization participation for primary care providers: early stage results.

BACKGROUND: Little is known about the impact of joining an Accountable Care Organization (ACO) on primary care provider organization's costs. The purpose of this study was to determine whether joining an ACO is associated with an increase in a Rural Health Clinic's (RHC's) cost per visit. METHODS: The analyses focused on cost per visit in 2012 and 2013 for RHCs that joined an ACO in 2012 and cost per visit in 2013 for RHCs that joined an ACO in 2013. The RHCs were located in nine states. Data were obtained from Medicare Cost Reports. The analysis was conducted taking a treatment effects approach where the treatment is joining an ACO. Propensity-score matching was employed to provide multiple single and pooled estimates of the average treatment effect on the treated. RESULTS: Four-hundred thirty four to 544 RHCs (depending on the type of analysis and the variables used) were used in the several analyses. Seven of the RHCs joined an ACO in 2012 and 14 joined an ACO in 2013. The mean cost per visit for RHCs that did not join an ACO rose 4.40 % from 2011 to 2012 whereas the mean cost per visit for RHCs that joined an ACO rose by triple: 13.5 %. All of the pooled estimates of the average treatment effect on the treated from the propensity-score matching showed that joining an ACO was associated with higher mean cost per visit. The range of the estimated mean cost per visit differences was $17.19 (p value = 0.00) to $25.19 (p value = 0.00). CONCLUSIONS: This study is one of the first to describe the cost of ACO participation from the perspective of primary care provider organizations. It appears that for at least one type of primary care provider - the RHC - there are substantial costs associated with ACO participation during the first two years.

Predictors of Gaps in Patient Safety and Quality in U.S. Hospitals.

OBJECTIVE: To explore predictors of gaps between observed and best possible Hospital Compare scores in U.S. hospitals. DATA SOURCES: American Hospital Association Annual Survey; Area Resource Files; Centers for Medicare and Medicaid Services Medicare Provider and Analysis Review; and Hospital Compare data. STUDY DESIGN: Using Stochastic Frontier Analysis and secondary cross-sectional data, gaps between the best possible and actual scores of Hospital Compare quality measures were estimated. Poisson regressions were used to ascertain financial, organizational, and market predictors of those gaps. DATA EXTRACTION: Data were cleaned and matched based on hospital Medicare IDs. All U.S. hospitals that matched on analysis variables in 2007 were in the study (1,823-2,747, depending upon gap variable). PRINCIPAL FINDINGS: Most hospitals have a greater than 10 percent gap in quality indicators. Payer mix, registered nurse staffing, size, case mix index, accreditation, being a teaching hospital, market competition, urban location, and region were strong predictors of gaps, although the direction of the association with gaps was not uniform across outcomes. CONCLUSIONS: A significant percentage of hospitals have gaps between their best possible and observed quality scores. It may be better to use gap scores than observed scores in payments systems. More SFA research is needed to know how to lower gaps through changes in hospital and market characteristics.

Participation of Rural Health Care Providers in Accountable Care Organizations: Early Indications.

Recently, some rural health clinics (RHCs) throughout the country have chosen to join groups of health care providers in accountable care organizations (ACOs). Examined are characteristics of Southeastern RHCs and the counties they serve; it is shown how those characteristics compare with other regions across the country and suggested what role those differences might play in an RHC's decision to participate in an ACO. Rural health clinic-related data were collected and summarized for 2 time periods: 2007 and 2011: for 2007, data from RHCs throughout the United States; for 2011, summarized demographic data related to region 4 RHCs specifically. Several characteristics about region 4 RHCs indicate that they may be slow to participate in ACOs. However, other characteristics, including their perception that ACOs may improve the quality of care and health outcomes of their patients and communities, may facilitate the process of RHCs joining ACOs, should they choose to do so. Addressing the health care needs and health care quality of rural populations must be part of the design, development, and performance monitoring of ACOs of the future.

A method for understanding some consequences of bringing patient-generated data into health care delivery.

OBJECTIVE: The consequences of personal health record (PHR) phenomena on the health care system are poorly understood. This research measures one aspect of the phenomena--the time-cost impact of patient-generated data (PGD) using discrete event model (DEM) simulation. BACKGROUND/SIGNIFICANCE: Little has been written about the temporal and cognitive burden associated with new workflows that include PGD. This pilot study reports the results for time-cost and resource utilization of a ''typical'' ambulatory clinic under varying conditions of PGD burden. METHODS: PGD effects are modeled with DEM simulation reflecting the sequential relationships, temporal coupling, and impact assumptions within a virtual clinic. Three simulation scenarios of ever-increasing PGD impact are compared to a baseline case of no PGD use. RESULTS: Introduction of PGD resulted in expected increases in cost and resource utilization along with a few key exceptions and unanticipated consequences. Direct and indirect impacts were observed with notable nonlinear, nonadditive, disproportionate, heterogeneous aspects and interactions among consequent labor cost, visit length, workday length, and resource utilization. The middle-impact simulations showed a 29% increase in daily labor costs and 28% shrinkage of the margin between revenues and labor costs. Lengths of both workday and patient visit were extended and less predictable with PGD use. Utilization rates of most staff positions rose. Nurse utilization rates showed greatest increases. Physicians' utilization rates paradoxically stayed relatively unchanged. CONCLUSION: This analysis contributes to an understanding of the effects of PGD on time and cognitive burdens of physicians, staff, and physical resources. It illustrates the usefulness of DEM simulation for the purpose. Avoidable consequences are exposed quantifiably for both the patient and the clinic. More realistic ways to respond to PGD impact are needed.

Performance of health centers in networks.

This study analyzed financial and non-financial performance of a national sample of ninety-six community health centers participating in networks funded through the DHHS' Integrated Services Development Initiative.