Relationship of POLST to Hospitalization and ICU Care Among Nursing Home Residents in California.

BACKGROUND: Physician Orders for Life Sustaining Treatment (POLST) document instructions for intensity of care based upon patient care preferences. POLST forms generally reflect patients' wishes and dictate subsequent medical care, but it is not known how POLST use and content among nursing home residents is associated with inpatient utilization across a large population. OBJECTIVE: Evaluate the relationship between POLST use and content with hospital utilization among nursing home residents in California. DESIGN: Retrospective cohort study using the Minimum Data Set linked to California Section S (POLST documentation), the Medicare Beneficiary Summary File, and Medicare line item claims. PATIENTS: California nursing home residents with Medicare fee-for-service insurance, 2011-2016. MAIN MEASURES: Hospitalization, days in the hospital, and days in the intensive care unit (ICU) after adjustment for resident and nursing home characteristics. KEY RESULTS: The 1,112,834 residents had a completed and signed (valid) POLST containing orders for CPR with Full treatment 29.6% of resident-time (in person-years) and a DNR order with Selective treatment or Comfort care 27.1% of resident-time. Unsigned POLSTs accounted for 11.3% of resident-time. Residents experienced 14 hospitalizations and a mean of 120 hospital days and 37 ICU days per 100 person-years. Residents with a POLST indicating CPR Full treatment had utilization nearly identical to residents without a POLST. A gradient of decreased utilization was related to lower intensity of care orders. Compared to residents without a POLST, residents with a POLST indicating DNR Comfort care spent 56 fewer days in the hospital and 22 fewer days in the ICU per 100 person-years. Unsigned POLST had a weaker and less consistent relationship with hospital utilization. CONCLUSIONS: Among California NH residents, there is a direct relationship between intensity of care preferences in POLST and hospital utilization. These findings emphasize the importance of a valid POLST capturing informed preferences for nursing home residents.

Is Bigger Better?: A Closer Look at Small Health Systems in the United States.

BACKGROUND: Research on US health systems has focused on large systems with at least 50 physicians. Little is known about small systems. OBJECTIVES: Compare the characteristics, quality, and costs of care between small and large health systems. RESEARCH DESIGN: Retrospective, repeated cross-sectional analysis. SUBJECTS: Between 468 and 479 large health systems, and between 608 and 641 small systems serving fee-for-service Medicare beneficiaries, yearly between 2013 and 2017. MEASURES: We compared organizational, provider and beneficiary characteristics of large and small systems, and their geographic distribution, using multiple Medicare and Internal Revenue Service administrative data sources. We used mixed-effects regression models to estimate differences between small and large systems in claims-based Healthcare Effectiveness Data and Information Set (HEDIS) quality measures and HealthPartners' Total Cost of Care measure using a 100% sample of Medicare fee-for-service claims. We fit linear spline models to examine the relationship between the number of a system's affiliated physicians and its quality and costs. RESULTS: The number of both small and large systems increased from 2013 to 2017. Small systems had a larger share of practice sites (43.1% vs. 11.7% for large systems in 2017) and beneficiaries (51.4% vs. 15.5% for large systems in 2017) in rural areas or small towns. Quality performance was lower among small systems than large systems (-0.52 SDs of a composite quality measure) and increased with system size up to ∼75 physicians. There was no difference in total costs of care. CONCLUSIONS: Small systems are a growing source of care for rural Medicare populations, but their quality performance lags behind large systems. Future studies should examine the mechanisms responsible for quality differences.

The Affordable Care Act Medicaid Expansion, Social Disadvantage, and the Practice Location Choices of New General Internists.

BACKGROUND: A recent study found that states that expanded Medicaid under the Affordable Care Act (ACA) gained new general internists who were establishing their first practices, whereas nonexpansion states lost them. OBJECTIVE: The objective of this study was to examine the level of social disadvantage of the areas of expansion states that gained new physicians and the areas of nonexpansion states that lost them. RESEARCH DESIGN: We used American Community Survey data to classify commuting zones as high, medium, or low social disadvantage. Using 2009-2019 data from the AMA Physician Masterfile and information on states' Medicaid expansion status, we estimated conditional logit models to compare where new physicians located during the 6 years following the expansion to where they located during the 5 years preceding the expansion. SUBJECTS: A total of 32,102 new general internists. RESULTS: Compared with preexpansion patterns, new general internists were more likely to locate in expansion states after the expansion, a finding that held for high, medium, and low disadvantage areas. We estimated that, between 2014 and 2019, nonexpansion states lost 371 new general internists (95% confidence interval, 203-540) to expansion states. However, 62.5% of the physicians lost by nonexpansion states were lost from high disadvantage areas even though these areas only accounted for 17.9% of the population of nonexpansion states. CONCLUSIONS: States that opted not to expand Medicaid lost new general internists to expansion states. A highly disproportionate share of the physicians lost by nonexpansion states were lost from high disadvantage areas, potentially compromising access for all residents irrespective of insurance coverage.

Effects of the Affordable Care Act Medicaid Expansion on the Distribution of New General Internists Across States.

BACKGROUND: Some states expanded Medicaid under the Affordable Care Act, boosting their low-income residents' demand for health care, while other states opted not to expand. OBJECTIVE: The objective of this study was to determine whether the Medicaid expansion influenced the states selected by physicians just completing graduate medical education for establishing their first practices. RESEARCH DESIGN: Using 2009-2019 data from the American Medical Association Physician Masterfile and information on states' Medicaid expansion status, we estimated conditional logit models to compare where new physicians located during the 6 years following implementation of the expansion to where they located during the 5 years preceding implementation. SUBJECTS: The sample consisted of 160,842 physicians in 8 specialty groups. RESULTS: Thirty-three states and the District of Columbia expanded Medicaid by the end of the study period. Compared with preexpansion patterns, we found that physicians in one specialty group-general internal medicine-were increasingly likely to locate in expansion states with time after the expansion. The Medicaid expansion influenced the practice location choices of men and international medical graduates in general internal medicine; women and United States medical graduates did not alter their preexpansion location patterns. Simulations estimated that, between 2014 and 2019, nonexpansion states lost 310 general internists (95% confidence interval, 156-464) to expansion states. CONCLUSIONS: The Medicaid expansion influenced the practice location choices of new general internists. States that opted not to expand Medicaid under the Affordable Care Act lost general internists to expansion states, potentially affecting access to care for all their residents irrespective of insurance coverage.

A Decomposition Method to Assess the Contributions of Geographic and Nongeographic Factors to White-Black Disparities in Health Care.

BACKGROUND: Black-white gaps in high-quality hospital use are documented, but the relative contributions of various factors are unclear. The objective of this study was to quantify the contributions of differences in geographic and nongeographic factors to the gap, using decomposition methods and data for coronary heart disease. RESEARCH DESIGN: We identified white and black fee-for-service beneficiaries aged 65 or older who were hospitalized for acute myocardial infarction (AMI) or coronary artery bypass grafting (CABG) surgery during 2009-2011. We categorized hospitals with AMI mortality rates in the lowest quintile as high-quality hospitals. We first decomposed the white-black gap in high-quality hospital use into a component due to racial differences in region of residence and a within-region component. We then decomposed the within-region differences into contributions due to racial differences in geographic proximity to high-quality hospitals and due to nongeographic factors. RESULTS: The white-black gap in high-quality hospital use was smaller for AMI than for CABG (1.7 percentage points vs. 7.5 percentage points). For AMI, region of residence contributed more to the gap than within-region differences (1.0 percentage point vs. 0.6 percentage points), while for CABG, within-region differences prevailed (2.0 percentage points vs. 5.4 percentage points). For both conditions, the within-region white-black difference in high-quality hospital use was mainly driven by nongeographic factors. CONCLUSIONS: Decomposition methods are a useful tool in quantifying the contributions of various factors to the white-black gap in high-quality hospital use and could inform local policy aimed at reducing disparities in hospital quality.

Impact of a Patient-Centered Behavioral Economics Intervention on Hypertension Control in a Highly Disadvantaged Population: a Randomized Trial.

BACKGROUND: Uncontrolled hypertension contributes to disparities in cardiovascular outcomes. Patient intervention strategies informed by behavioral economics and social psychology could improve blood pressure (BP) control in disadvantaged minority populations. OBJECTIVE: To assess the impact on BP control of an intervention combining short-term financial incentives with promotion of intrinsic motivation among highly disadvantaged patients. DESIGN: Randomized controlled trial. PARTICIPANTS: Two hundred seven adults (98% African American or Latino) aged 18 or older with uncontrolled hypertension attending Federally Qualified Health Centers. INTERVENTION: Six-month intervention, combining financial incentives for measuring home BP, recording medication use, BP improvement, and achieving target BP values with counseling linking hypertension control efforts to participants' personal reasons to stay healthy. MAIN MEASURES: Primary outcomes: percentage achieving systolic BP (SBP) < 140 mmHg, percentage achieving diastolic BP (DBP) < 90 mmHg, and changes in SBP and DBP, all after 6 months. Priority secondary outcomes were SBP < 140 mmHg, DBP < 90 mmHg, and BP change at 12 months, 6 months after the intervention ended. KEY RESULTS: After 6 months, rates of achieving target BP values for intervention and control subjects respectively was 57.1% vs. 40.2% for SBP < 140 mmHg (adjusted odds ratio (AOR) 2.53 (1.13-5.70)), 79.8% vs 70.1% for DBP < 90 mmHg (AOR 2.50 (0.84-7.44)), and 53.6% vs 40.2% for achieving both targets (AOR 2.04 (0.92-4.52)). However, at 12 months, the groups did not differ significantly in these 3 measures: 39.5% vs 35.0% for SBP (AOR 1.20 (0.51-2.83)), 68.4% vs 75.0% for DBP (AOR 0.70 (0.24-2.09)), and 35.5% vs 33.8% for both (AOR 1.03 (0.44-2.42)). Change in absolute SBP and DBP did not differ significantly between the groups at 6 or 12 months. Exploratory post hoc analysis revealed intervention benefit only occurred among individuals whose providers intensified their regimens, but not among those with intensification but no intervention. CONCLUSIONS: The intervention achieved short-term improvement in SBP control in a highly disadvantaged population. Despite attempts to enhance intrinsic motivation, the effect was not sustained after incentives were withdrawn. Future research should evaluate combined patient/provider strategies to enhance such interventions and sustain their benefit. TRIAL REGISTRATION: NCT01402453; http://clinicaltrials.gov/show/NCT01402453.

High Quality of Care Persists With Shifting Depression Services From VA Specialty to Integrated Primary Care.

BACKGROUND/OBJECTIVE: Offering depression collaborative care services in primary care (PC) settings can reduce use of nonintegrated mental health care resources and improve mental health care access, particularly for vulnerable PC patients. Tests of effects on depression care quality, however, are needed. We examined overall quality of depression care and tested whether increasing clinic engagement in Veterans Affairs (VA)'s Primary Care-Mental Health Integration (PC-MHI) services was associated with differences in depression care quality over time. METHODS: We conducted a retrospective longitudinal cohort study of 80,136 Veterans seen in 26 Southern California VA PC clinics (October 1, 2008-September 30, 2013). Using multilevel regression models adjusting for year, clinic, and patient characteristics, we predicted effects of clinic PC-MHI engagement (ie, percent of PC patients receiving PC-MHI services) on 3 VA-developed longitudinal electronic population-based depression quality measures among Veterans newly diagnosed with depression (n=12,533). RESULTS: Clinic PC-MHI engagement rates were not associated with significant depression care quality differences. Across all clinics, average rates of follow-up within 84 or 180 days were, 66.4% and 74.5%, respectively. Receipt of minimally appropriate treatment was 80.5%. Treatment probabilities were significantly higher for vulnerable PC patients (homeless: 4.5%, P=0.03; serious mental illness: 15.2%, P<0.001), than for otherwise similar patients without these characteristics. CONCLUSIONS/POLICY IMPLICATIONS: Study patients treated in PC clinics with greater PC-MHI engagement received similarly high quality depression care, and even higher quality for vulnerable patients. Findings support increasing use of PC-MHI models to the extent that they confer some advantage over existing services (eg, access, patient satisfaction) other than quality of care.

Trends in Racial/Ethnic and Nativity Disparities in Cardiovascular Health Among Adults Without Prevalent Cardiovascular Disease in the United States, 1988 to 2014.

Background: Trends in cardiovascular disparities are poorly understood, even as diversity increases in the United States. Objective: To examine U.S. trends in racial/ethnic and nativity disparities in cardiovascular health. Design: Repeated cross-sectional study. Setting: NHANES (National Health and Nutrition Examination Survey), 1988 to 2014. Participants: Adults aged 25 years or older who did not report cardiovascular disease. Measurements: Racial/ethnic, nativity, and period differences in Life's Simple 7 (LS7) health factors and behaviors (blood pressure, cholesterol, hemoglobin A1c, body mass index, physical activity, diet, and smoking) and optimal composite scores for cardiovascular health (LS7 score ≥10). Results: Rates of optimal cardiovascular health remain below 40% among whites, 25% among Mexican Americans, and 15% among African Americans. Disparities in optimal cardiovascular health between whites and African Americans persisted but decreased over time. In 1988 to 1994, the percentage of African Americans with optimal LS7 scores was 22.8 percentage points (95% CI, 19.3 to 26.4 percentage points) lower than that of whites in persons aged 25 to 44 years and 8.0 percentage points (CI, 6.4 to 9.7 percentage points) lower in those aged 65 years or older. By 2011 to 2014, differences decreased to 10.6 percentage points (CI, 7.4 to 13.9 percentage points) and 3.8 percentage points (CI, 2.5 to 5.0 percentage points), respectively. Disparities in optimal LS7 scores between whites and Mexican Americans were smaller but also decreased. These decreases were due to reductions in optimal cardiovascular health among whites over all age groups and periods: Between 1988 to 1994 and 2011 to 2014, the percentage of whites with optimal cardiovascular health decreased 15.3 percentage points (CI, 11.1 to 19.4 percentage points) for those aged 25 to 44 years and 4.6 percentage points (CI, 2.7 to 6.5 percentage points) for those aged 65 years or older. Limitation: Only whites, African Americans, and Mexican Americans were studied. Conclusion: Cardiovascular health has declined in the United States, racial/ethnic and nativity disparities persist, and decreased disparities seem to be due to worsening cardiovascular health among whites rather than gains among African Americans and Mexican Americans. Multifaceted interventions are needed to address declining population health and persistent health disparities. Primary Funding Source: National Institute of Neurological Disorders and Stroke and National Center for Advancing Translational Sciences of the National Institutes of Health.

What Role Does Efficiency Play in Understanding the Relationship Between Cost and Quality in Physician Organizations?

BACKGROUND: The belief that there is inefficiency, or the potential to improve patient health at current levels of spending, is driving the push for greater value in health care. Previous studies demonstrate overuse of a narrow set of services, suggesting provider inefficiency, but existing studies neither quantify inefficiency more broadly nor assess its variation across physician organizations (POs). DATA AND METHODS: We used data on quality of care and total cost of care from 129 California POs participating in a statewide value-based pay-for-performance program. We estimated a production function with quality as the output and cost as the input, using a stochastic frontier model, to develop a measure of relative efficiency for each PO. To validate the efficiency measure, we examined correlations of PO efficiency estimates with indicators representing overuse of services. RESULTS: The estimated production function showed that PO quality was positively associated with costs, although there were diminishing marginal returns to spending. A certain minimum level of spending was associated with high quality even among efficient POs. Most strikingly, however, POs had substantial variation in efficiency, producing widely differing levels of quality for the same cost. CONCLUSIONS: Differences among POs in the efficiency with which they produce quality suggest opportunities for improvements in care delivery that increase quality without increasing spending.

Differences in Use of High-quality and Low-quality Hospitals Among Working-age Individuals by Insurance Type.

BACKGROUND: Research suggests that individuals with Medicaid or no insurance receive fewer evidence-based treatments and have worse outcomes than those with private insurance for a broad range of conditions. These differences may be due to patients' receiving care in hospitals of different quality. RESEARCH DESIGN: We used the Healthcare Cost and Utilization Project State Inpatient Databases 2009-2010 data to identify patients aged 18-64 years with private insurance, Medicaid, or no insurance who were hospitalized with acute myocardial infarction, heart failure, pneumonia, stroke, or gastrointestinal hemorrhage. Multinomial logit regressions estimated the probability of admissions to hospitals classified as high, medium, or low quality on the basis of risk-adjusted, in-hospital mortality. RESULTS: Compared with patients who have private insurance, those with Medicaid or no insurance were more likely to be minorities and to reside in areas with low-socioeconomic status. The probability of admission to high-quality hospitals was similar for patients with Medicaid (23.3%) and private insurance (23.0%) but was significantly lower for patients without insurance (19.8%, P<0.01) compared with the other 2 insurance groups. Accounting for demographic, socioeconomic, and clinical characteristics did not influence the results. CONCLUSIONS: Previously noted disparities in hospital quality of care for Medicaid recipients are not explained by differences in the quality of hospitals they use. Patients without insurance have lower use of high-quality hospitals, a finding that needs exploration with data after 2013 in light of the Affordable Care Act, which is designed to improve access to medical care for patients without insurance.

Constructing a Time-Invariant Measure of the Socio-economic Status of U.S. Census Tracts.

Contextual research on time and place requires a consistent measurement instrument for neighborhood conditions in order to make unbiased inferences about neighborhood change. We develop such a time-invariant measure of neighborhood socio-economic status (NSES) using exploratory and confirmatory factor analyses fit to census data at the tract level from the 1990 and 2000 U.S. Censuses and the 2008-2012 American Community Survey. A single factor model fit the data well at all three time periods, and factor loadings--but not indicator intercepts--could be constrained to equality over time without decrement to fit. After addressing remaining longitudinal measurement bias, we found that NSES increased from 1990 to 2000, and then--consistent with the timing of the "Great Recession"--declined in 2008-2012 to a level approaching that of 1990. Our approach for evaluating and adjusting for time-invariance is not only instructive for studies of NSES but also more generally for longitudinal studies in which the variable of interest is a latent construct.

Neighborhood Characteristics are Associated with Racial and Gender Variation in Walking among Older Adults: the Cardiovascular Health Study.

OBJECTIVE: To examine variation by race and gender in the association between neighborhood socioeconomic status and walking among community-dwelling older adults. DESIGN: Cross-sectional. SETTING: Cardiovascular Health Study, a longitudinal population-based cohort. PARTICIPANTS: 4,849 adults, aged > 65 years. MEASUREMENTS: Participants reported the number of city blocks walked in the prior week. Neighborhood socioeconomic status (NSES) was measured at the level of the census tract. Negative binominal regression models were constructed to test the association between NSES and blocks walked. In the fully adjusted models, we included two-way and three-way interaction terms among race, gender, and NSES. RESULTS: In adjusted analyses, among White residents in the lowest NSES quartile (most disadvantaged), men walked 64% more than women (P<.001), while in the highest NSES (most advantaged), men walked 43% more than women (P<.001). Among African American residents in the lowest NSES quartile, men walked 196% more blocks than women (P<.001). CONCLUSIONS: Female gender is more strongly associated with walking for African Americans than for Whites in low SES neighborhoods but had a similar association with walking for both African Americans and Whites in high SES neighborhoods.

Implementing Computerized Provider Order Entry in Acute Care Hospitals in the United States Could Generate Substantial Savings to Society.

BACKGROUND: Computerized provider order entry (CPOE) with clinical decision support is a basic criterion for hospitals' meaningful use of electronic health record systems. A study was conducted to evaluate from the societal perspective the cost-utility of implementing CPOE in acute care hospitals in the United States. METHODS: A decision-analytical model compared CPOE with paper ordering among patients admitted to acute care hospitals with >25 beds. Parameters included start-up and maintenance costs, as well as costs for provider time use, medication and laboratory test ordering, and preventable adverse drug events. Probabilistic analyses produced incremental costs, effectiveness, and cost-effectiveness ratios for hospitals in four bed-size categories (25-72, 72-141, 141-267, 267-2,249). RESULTS: Relative to paper ordering and using typical estimates of implementation costs, CPOE had, on average, >99% probability of yielding savings to society and improving health. Per hospital in each size category, mean life-time savings -in millions-were $11.6 (standard deviation, $9.30), $34.4 ($21.2), $71.8 ($43.8), and $170 ($119) (2012 dollars), respectively, and quality-adjusted life-years (QALYs) gained were 19.9 (16.9), 53.7 (38.7), 109 (79.6), and 249 (205). Incremental effectiveness and costs were less favorable in certain circumstances, such as high implementation costs. Nationwide, anticipated increases in CPOE implementation from 2009 through 2015 could save $133 billion and 201,000 QALYs. CONCLUSIONS: In addition to improving health, implementing CPOE with clinical decision support could yield substantial long-term savings to society in the United States, although results for individual hospitals are likely to vary.

Spillover effects of community uninsurance on awareness, treatment, and control of hypertension among insured adults.

BACKGROUND: Although studies have shown that a high rate of uninsurance in a community reduces access to and satisfaction with health care among the insured population, little is known about whether the community uninsurance rate also affects quality of care and clinical outcomes among the insured. OBJECTIVE: To assess the spillover effects of the rate of uninsurance in a community on the awareness, treatment, and control of hypertension, a chronic condition responsible for substantial morbidity and mortality in the United States, among insured adults. RESEARCH DESIGN: NHANES III (1988-1994) and the 1999-2010 NHANES were linked to data from the Current Population Survey, Area Resource File, and InterStudy Competitive Edge. Multivariate probit regression models used 2 alternative estimation approaches: (1) maximum likelihood estimation, and (2) 2-stage residual inclusion estimation, an instrumental variables method. MAIN OUTCOME MEASURES: Six dichotomous outcomes included: awareness among all subjects with hypertension; treatment among all subjects with hypertension and among subjects who were aware of their condition; and control among all subjects with hypertension, among subjects who were aware of their condition, and among subjects receiving treatment. RESULTS: A 10 percentage point increase in the community uninsurance rate reduced the probability of receiving antihypertensive medications by 4.2 percentage points among insured hypertensive adults and by 5.5 percentage points among insured hypertensive adults who were aware of their hypertension. A 10 percentage point increase in the community uninsurance rate also resulted in a 6.8 percentage point decline in the probability of blood pressure control among insured hypertensive adults who were aware of their condition. CONCLUSIONS: Nationally, the Affordable Care Act is expected to reduce the number of uninsured by >30 million by 2016, although changes will be experienced by communities to a greater or lesser extent depending on the existing numbers and characteristics of the uninsured in the area and the ways in which health care reform is implemented. Our results suggest that reductions in the community uninsurance rate have the potential to improve quality of care and clinical outcomes among the insured.

Family structure and childhood obesity: an analysis through 8th grade.

Research on the effect of family structure on childhood obesity is scarce. This study examines the effect of number of parents and number of siblings on US children's body mass index (BMI) and risk of obesity. We conducted a secondary data analysis of the Early Childhood Longitudinal Study-Kindergarten Cohort (ECLS-K), which consists of a nationally representative cohort of children who entered kindergarten in 1998-1999, to examine the effect of family structure on children's body mass index and risk of obesity from kindergarten through 8th grade. Study outcomes were BMI in kindergarten and 8th grade, obesity status in kindergarten and 8th grade, and change in BMI from kindergarten through 8th grade. Multivariate regressions were used to assess the association between family structure and study outcomes while adjusting for other covariates. In 8th grade, children with no siblings had higher BMI (23.7 vs. 22.6; P ≤ 0.01) and higher probability of being obese (25.8 vs. 19.7 %; P ≤ 0.05) than their counterparts with two or more siblings. They also had a larger increase in BMI from kindergarten through 8th grade than children living with two or more siblings (7.3 vs. 6.3; P = 0.02). Our analysis suggests that the association between family structure and obesity persists and even intensifies through 8th grade. These findings have important implications for targeting obesity support and counseling for families.

The segregation of physician networks providing care to black and white patients with heart disease: Concepts, measures, and empirical evaluation.

Black-White disparities in cardiac care may be related to physician referral network segregation. We developed and tested new geographic physician network segregation measures. We used Medicare claims to identify Black and White Medicare heart disease patients and map physician networks for 169 hospital referral regions (HRRs) with over 1000 Black patients. We constructed two network segregation indexes ranging from 0 (integration) to 100 (total segregation): Dissimilarity (the unevenness of Black and White patient distribution across physicians [Dn]) and Absolute Clustering (the propensity of Black patients' physicians to have closer ties with each other than with other physicians [ACLn]). We employed conditional logit models to estimate the probability of using the best (lowest mortality) geographically available hospital for Black and White patients undergoing coronary artery bypass grafting (CABG) surgery in 126 markets with sufficient sample size at increasing levels of network segregation and for low vs. high HRR Black patient population. Physician network segregation was lower than residential segregation (Dissimilarity 21.9 vs. 48.7, and Absolute Clustering 4.8 vs. 32.4) and positively correlated with residential segregation (p < .001). Network segregation effects differed by race and HRR Black patient population. For White patients, higher network segregation was associated with a higher probability of using the best available hospitals in HRRs with few black patients but unchanged (ACLn) or lower (Dn) probability of best hospital use in HRRs with many Black patients. For Black patients, higher network segregation was not associated with a substantial change in the probability of best hospital use regardless of the HRR Black patient population size. Measuring physician network segregation is feasible and associated with nuanced effects on Black-White differences in high-quality hospital use for heart disease. Further work is needed to understand underlying mechanisms and potential uses in health equity policy.

Postacute Care for Medicare Advantage Enrollees Who Switched to Traditional Medicare Compared With Those Who Remained in Medicare Advantage.

Importance: Medicare Advantage (MA) plans receive capitated per enrollee payments that create financial incentives to provide care more efficiently than traditional Medicare (TM); however, incentives could be associated with MA plans reducing use of beneficial services. Postacute care can improve functional status, but it is costly, and thus may be provided differently to Medicare beneficiaries by MA plans compared with TM. Objective: To estimate the association of MA compared with TM enrollment with postacute care use and postdischarge outcomes. Design, Setting, and Participants: This was a cohort study using Medicare data on 4613 hospitalizations among retired Ohio state employees and 2 comparison groups in 2015 and 2016. The study investigated the association of a policy change with use of postacute care and outcomes. The policy changed state retiree health benefits in Ohio from a mandatory MA plan to subsidies for either supplemental TM coverage or an MA plan. After policy implementation, approximately 75% of retired Ohio state employees switched to TM. Hospitalizations for 3 high-volume conditions that usually require postacute rehabilitation were assessed. Data from the Medicare Provider Analysis and Review files were used to identify all hospitalizations in short-term acute care hospitals. Difference-in-difference regressions were used to estimate changes for retired Ohio state employees compared with other 2015 MA enrollees in Ohio and with Kentucky public retirees who were continuously offered a mandatory MA plan. Data analyses were performed from September 1, 2019, to November 30, 2023. Exposures: Enrollment in Ohio state retiree health benefits in 2015, after which most members shifted to TM. Main Outcomes and Measures: Received care in an inpatient rehabilitation facility, skilled nursing facility, or home health, or any postacute care; the occurrence of any hospital readmission; the number of days in the community during the 30 days after hospital discharge; and mortality. Results: The study sample included 2373 hospitalizations for Ohio public retirees, 1651 hospitalizations for other Humana MA enrollees in Ohio, and 589 hospitalizations for public retirees in Kentucky. After the 2016 policy implementation, the percentage of hospitalizations covered by MA decreased by 70.1 (95% CI, -74.2 to -65.9) percentage points (pp), inpatient rehabilitation facility admissions increased by 9.7 (95% CI, 4.7 to 14.7) pp, use of only home health or skilled nursing facility care fell by 8.6 (95% CI, -14.6 to -2.6) pp, and days in the community fell by 1.6 (95% CI, -2.9 to -0.3) days for Ohio public retirees compared with other Humana MA enrollees in Ohio. There was no change in 30-day mortality or hospital readmissions; similar results were found by comparisons using Kentucky public retirees as a control group. Conclusions and Relevance: The findings of this cohort study indicate that after a change in retiree health benefits, most Ohio public retirees shifted from MA to TM and received more intensive postacute care with no significant change in measured short-term postdischarge outcomes. Future work should consider additional measures of postacute functional status over a longer follow-up period.

Using insights from behavioral economics and social psychology to help patients manage chronic diseases.

Despite a revolution in therapeutics, the ability to control chronic diseases remains elusive. We present here a conceptual model of the potential role of behavioral tools in chronic disease control. Clinicians implicitly accept the assumption that patients will act rationally to maximize their self-interest. However, patients may not always be the rational actors that we imagine. Major behavioral barriers to optimal health behavior include patients' fear of threats to health, unwillingness to think about problems when risks are known or data are ambiguous, the discounting of risks that are far in the future, failure to act due to lack of motivation, insufficient confidence in the ability to overcome a health problem, and inattention due to pressures of everyday life. Financial incentives can stimulate initiation of health-promoting behaviors by reducing or eliminating financial barriers, but may not produce long-term behavior change without additional interventions. Strategies have been developed by behavioral economists and social psychologists to address each of these barriers to better decision-making. These include: labeling positive behaviors in ways consistent with patient life goals and priorities; greater focus on more immediate risks of chronic diseases; intermediate subgoals as steps to a large health goal; and implementation of specific plans as to when, where, and how an action will be taken. Such strategies hold promise for improving health behaviors and disease control, but most have not been studied in medical settings. The effectiveness of these approaches should be evaluated for their potential as tools for the clinician.

The effects of quality of care on costs: a conceptual framework.

CONTEXT: The quality of health care and the financial costs affected by receiving care represent two fundamental dimensions for judging health care performance. No existing conceptual framework appears to have described how quality influences costs. METHODS: We developed the Quality-Cost Framework, drawing from the work of Donabedian, the RAND/UCLA Appropriateness Method, reports by the Institute of Medicine, and other sources. FINDINGS: The Quality-Cost Framework describes how health-related quality of care (aspects of quality that influence health status) affects health care and other costs. Structure influences process, which, in turn, affects proximate and ultimate outcomes. Within structure, subdomains include general structural characteristics, circumstance-specific (e.g., disease-specific) structural characteristics, and quality-improvement systems. Process subdomains include appropriateness of care and medical errors. Proximate outcomes consist of disease progression, disease complications, and care complications. Each of the preceding subdomains influences health care costs. For example, quality improvement systems often create costs associated with monitoring and feedback. Providing appropriate care frequently requires additional physician visits and medications. Care complications may result in costly hospitalizations or procedures. Ultimate outcomes include functional status as well as length and quality of life; the economic value of these outcomes can be measured in terms of health utility or health-status-related costs. We illustrate our framework using examples related to glycemic control for type 2 diabetes mellitus or the appropriateness of care for low back pain. CONCLUSIONS: The Quality-Cost Framework describes the mechanisms by which health-related quality of care affects health care and health status-related costs. Additional work will need to validate the framework by applying it to multiple clinical conditions. Applicability could be assessed by using the framework to classify the measures of quality and cost reported in published studies. Usefulness could be demonstrated by employing the framework to identify design flaws in published cost analyses, such as omitting the costs attributable to a relevant subdomain of quality.

Exploring psychosocial pathways between neighbourhood characteristics and stroke in older adults: the cardiovascular health study.

OBJECTIVES: to investigate whether psychosocial pathways mediate the association between neighbourhood socioeconomic disadvantage and stroke. METHODS: prospective cohort study with a follow-up of 11.5 years. SETTING: the Cardiovascular Health Study, a longitudinal population-based cohort study of older adults ≥65 years. MEASUREMENTS: the primary outcome was adjudicated incident ischaemic stroke. Neighbourhood socioeconomic status (NSES) was measured using a composite of six census-tract variables. Psychosocial factors were assessed with standard measures for depression, social support and social networks. RESULTS: of the 3,834 white participants with no prior stroke, 548 had an incident ischaemic stroke over the 11.5-year follow-up. Among whites, the incident stroke hazard ratio (HR) associated with living in the lowest relative to highest NSES quartile was 1.32 (95% CI = 1.01-1.73), in models adjusted for individual SES. Additional adjustment for psychosocial factors had a minimal effect on hazard of incident stroke (HR = 1.31, CI = 1.00-1.71). Associations between NSES and stroke incidence were not found among African-Americans (n = 785) in either partially or fully adjusted models. CONCLUSIONS: psychosocial factors played a minimal role in mediating the effect of NSES on stroke incidence among white older adults.