Hennepin Health: a safety-net accountable care organization for the expanded Medicaid population.

Health care payment and delivery models that challenge providers to be accountable for outcomes have fueled interest in community-level partnerships that address the behavioral, social, and economic determinants of health. We describe how Hennepin Health--a county-based safety-net accountable care organization in Minnesota--has forged such a partnership to redesign the health care workforce and improve the coordination of the physical, behavioral, social, and economic dimensions of care for an expanded community of Medicaid beneficiaries. Early outcomes suggest that the program has had an impact in shifting care from hospitals to outpatient settings. For example, emergency department visits decreased 9.1 percent between 2012 and 2013, while outpatient visits increased 3.3 percent. An increasing percentage of patients have received diabetes, vascular, and asthma care at optimal levels. At the same time, Hennepin Health has realized savings and reinvested them in future improvements. Hennepin Health offers lessons for counties, states, and public hospitals grappling with the problem of how to make the best use of public funds in serving expanded Medicaid populations and other communities with high needs.

Retail clinic versus office setting: do patients choose appropriate providers?

OBJECTIVE: To assess whether health plan members who used retail clinics chose that setting for minor conditions and continued to see other providers for more complex conditions. STUDY DESIGN: Retrospective analysis of claims data in a commercially insured population. METHODS: Health plan enrollment data were used to identify and describe the analysis population. Episode Treatment Groups were used to identify members with chronic conditions and to analyze reasons for retail clinic use, complexity of retail clinic visits, and care for chronic conditions in non-retail clinic settings. Logistic regression was used to study predictors of retail clinic use. RESULTS: Retail clinic users differed significantly from nonusers. The most significant predictors of retail clinic use were age, sex, and proximity to a retail clinic. Episodes of care treated in the retail clinic appeared to be less complex than similar episodes treated in other settings. Chronically ill members who used the retail clinic saw another provider for their chronic condition at rates similar to or higher than those of members who did not use the retail clinic. CONCLUSIONS: Individuals may be able to identify when conditions are minor enough to be treated in a retail clinic and serious enough to be treated by a traditional provider.

Improving the imputation of race: evaluating the benefits of stratifying by age.

Health plans and other health care institutions may use indirect methods such as geocoding and surname analysis to estimate race, ethnicity, and socioeconomic status in an effort to measure disparities in care or target specific demographics. This study investigated whether stratifying by age improved imputations of race and ethnicity made through geocoding. Self-reported race and ethnicity from Medicaid enrollment records and from a health risk assessment administered by a large employer were used to validate imputation results from both an age-stratified model and a standard model. Sensitivity, specificity, and positive predictive value were calculated. Both approaches successfully imputed race and ethnicity for whites, blacks, Asians, and Hispanics. The age-stratified approach identified more blacks than did the unstratified approach, and correctly identified more blacks and whites. The two approaches worked equally well for identifying Asians and Hispanics. Age stratification may improve the accuracy of imputation methods, and help health care organizations to better understand the demographics of the people they serve.

Plan designs that encourage the use of generic drugs over brand-name drugs: an analysis of a free generic benefit.

OBJECTIVE: To evaluate the effect on adherence and medical care expenditures of a pharmacy benefit change that included free generic drugs and higher copayments for brand-name drugs. STUDY DESIGN: Quasi-experimental pre-post study of patients with ischemic heart disease (1286 control and 555 intervention) and patients with diabetes mellitus (4089 control and 1846 intervention). METHODS: Medical and pharmacy claims data were analyzed for continuously enrolled members from January 1, 2005, through December 31, 2008. A generalized linear model was used to predict costs as adherence changed. RESULTS: The rate of switching from brand-name drugs to generic drugs in the intervention group was not statistically different from that in the control group. The net change in adherence was higher only for the intervention group patients taking statins who switched to generic drugs, a 6.2% increase compared with an 8.5% decrease in the control group. The estimate of medical cost savings attributable to this benefit change was significant for only the metformin class of diabetes drugs. Improved adherence independent of this benefit change was estimated to reduce all-cause medical costs for patients taking sulfonylureas, metformin, and thiazolidinediones. CONCLUSIONS: Altering copayments for pharmaceuticals may affect the rate of conversion to generic drugs but is unlikely in and of itself to result in complete conversion. However, increasing adherence can result in net savings for specific diabetic drug classes, as savings from all-cause medical costs offset the increase in pharmacy costs.

Comparing quality of care between a consumer-directed health plan and a traditional plan: an analysis of HEDIS measures related to management of chronic diseases.

A cross-sectional, retrospective medical and pharmaceutical claims data analysis was conducted to determine if Healthcare Effectiveness Data and Information Set (HEDIS) measures related to care for chronic conditions differed between enrollees in a traditional comprehensive major medical plan (CMM) and a consumer-directed health plan (CDHP). Eleven HEDIS measures for 2006 were compared for CMM and CDHP enrollees in a health plan. Measures included care for persons with diabetes, asthma, depression, cardiovascular disease, and low back pain, and for persons taking persistent medications for specific conditions. In the CMM population, 1,238,949 members were eligible to be included; 131,763 members in the CDHP population were eligible. Statistical significance testing was performed. As measured by HEDIS, CDHP enrollees received higher quality of care than did CMM enrollees in areas related to low back pain, and eye exams and nephropathy screening for persons with diabetes. No significant differences were found between CDHP enrollees and CMM enrollees for measures describing medication management for persons with depression and asthma, annual monitoring for persons taking persistent medications, cholesterol management for persons with cardiovascular disease, or HbA1c testing and low-density lipoprotein screening for persons with diabetes. Enrollees in CDHPs who have chronic conditions received care at levels of quality equal to or better than CMM enrollees. The potential for increased financial responsibility in the CDHP plan did not appear to deter those enrollees from pursuing necessary care. Future research should control for the demographic factors thought to influence both selection into a plan design and quality of care.

A comparison of dental service use among commercially insured women in Minnesota before, during and after pregnancy.

BACKGROUND: The authors examined and compared dental services used by women before, during and after pregnancy. METHODS: In their study, the authors combined medical and dental claims data for 3,462 pregnant women in Minnesota with commercial dental insurance who had been pregnant between Jan. 1, 2004, and Dec. 31, 2005. The authors used McNemar pairwise comparisons, with each subject serving as her own control and her use of various dental services before pregnancy as her own baseline, to evaluate and compare the dental services used during and after pregnancy. RESULTS: During pregnancy, subjects' use of several dental services-radiographs, restorative services, third-molar extractions and anesthesia-decreased significantly (P < .001) in comparison with their prepregnancy use. After pregnancy, subjects' use of checkups, radiographs and restorative services showed significant increases (P < .001). CONCLUSIONS: The significant decreases in use of these services during pregnancy and significant increases after pregnancy may suggest that these women and their dentists were using these services only conservatively during pregnancy or postponing their use altogether until after delivery. CLINICAL IMPLICATIONS: This study's findings may provide useful background information to medical and dental providers, health care plan administrators and policymakers as they consider recommendations regarding oral health care for women during pregnancy.

More preventive care, and fewer emergency room visits and prescription drugs--health care utilization in a consumer-driven health plan.

Although consumer-driven health plans (CDHPs) have grown dramatically, the question of whether CDHPs have reduced health care costs has not been answered definitively. This article presents what the authors believe to be the first study to analyze a large sample of claims data and to look in detail at different types of utilization among enrollees in a CDHP and those in a traditional comprehensive major medical (CMM) plan. After adjusting for the finding that CDHP enrollees are both younger and healthier than those in CMM plans, the authors found that CDHP enrollees show no consistent or significant utilization differences for measures over which consumers have little control (e.g., inpatient stays); lower utilization for measures over which consumers have greater control (e.g., emergency room visits); and higher utilization of preventive services.

The relationship of stage of change for smoking cessation to stage of change for fruit and vegetable consumption and physical activity in a health plan population.

PURPOSE: The purpose of this study was to examine the relationship between stage of change for smoking cessation and stage of change for (1) fruit and vegetable consumption and (2) physical activity. DESIGN: The data come from a cross-sectional telephone survey administered to a stratified random sample of health plan members (n = 9675). SETTING: This study was conducted at a mixed-model health plan with approximately 1 million adult members. SUBJECTS: Respondents were adults age 18 and older, who were randomly selected from five health plan product groups: commercial fully insured, commercial self-insured, two publicly subsidized plans, and Medicare supplemental insurance. Response rates ranged from 74.7% to 90.1% across these groups. MEASURES: The assessment included demographics and stage of change for smoking cessation, physical activity, and fruit and vegetable intake. Bivariate relationships among variables were analyzed with the use of contingency tables. Ordered logistic regression was used to examine the effects of stage of change for fruit and vegetable consumption and physical activity on stage of change for smoking while controlling for other factors. RESULTS: Stage of change for smoking is more clearly related to stage of change for fruit and vegetable consumption (chi2 = 161.3, p < .001; Cramer's V = .11, p < .001) than to stage of change for physical activity (chi2 = 89. 7, p < .001; Cramer's V = .08, p < .001). However, stage of change for fruit and vegetable consumption and physical activity are not strong predictors of stage of change for smoking. CONCLUSIONS: This study indicates that stage of change for both fruit and vegetable consumption and physical activity are independent constructs from stage of change for smoking cessation.

Physical inactivity: direct cost to a health plan.

PURPOSE: The purpose of this study was to estimate the total medical expenditures attributable to physical inactivity patterns among members of a large health plan, Blue Cross Blue Shield of Minnesota. METHODS: The study used a cost-of-illness approach to attribute medical and pharmacy costs for specific diseases to physical inactivity in 2000. Relative risks come from the scientific literature, demonstrating that heart disease, stroke, hypertension, type 2 diabetes, colon cancer, breast cancer, osteoporosis, depression, and anxiety are directly related to individual physical activity patterns in adults. Data sources were the 2000 Behavioral Risk Factor Surveillance System and medical claims incurred in 2000 among 1.5 million health plan members aged > or =18 years. Primary analysis was completed in 2002. RESULTS: Nearly 12% of depression and anxiety and 31% of colon cancer, heart disease, osteoporosis, and stroke cases were attributable to physical inactivity. Heart disease was the most expensive outcome of physical inactivity within the health plan population, costing US dollar 35.3 million in 2000. Total health plan expenditures attributable to physical inactivity were US dollar 83.6 million, or US dollar 56 per member. CONCLUSIONS: This study confirms the growing body of research quantifying physical inactivity as a serious and expensive public health problem. The costs associated with physical inactivity are borne by taxpayers, employers, and individuals in the form of higher taxes to subsidize public insurance programs and increased health insurance premiums.