Short-term effects of comprehensive caregiver supports on caregiver outcomes.

OBJECTIVE: To estimate the association of the Veterans Health Administration (VHA) Program of Comprehensive Assistance for Family Caregivers (PCAFC) implemented in 2011 with caregiver health and health care use. DATA SOURCES: VHA claims and electronic health records from May 2009 to May 2018. STUDY DESIGN: Using a retrospective, pre-post study design with inverse probability of treatment weights to address selection into treatment, we examine the association of PCAFC on caregivers who are veterans: (1) outpatient primary, specialty, and mental health care visits; (2) probability of uncontrolled hypertension and anxiety/depression; and (3) VHA health care costs. We compare outcomes for caregivers approved for PCAFC (treatment) to caregivers denied PCAFC (comparison). DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: In the year pre-application, we observe similar probabilities of having any VHA primary care (~36%), VHA specialty care (~24%), and VHA or VHA-purchased mental health care (~22%) for treatment and comparison caregivers. In the year post-application, treated caregivers had a 5.89 percentage point larger probability of any outpatient VHA primary care (p = 0.002) and 4.34 percentage points larger probability of any outpatient mental health care use (p = 0.014). Post-application, probabilities of having uncontrolled hypertension or diagnosed anxiety/depression were higher for both treated and comparison groups. In the second year post-application, treated caregivers had a 1.88 percentage point larger probability of uncontrolled hypertension (p = 0.019) and 4.68 percentage points larger probability of diagnosed anxiety/depression (predicted probabilities: treated = 0.30; comparison = 0.25; p = 0.005). We find no evidence of differences in VHA total costs by PCAFC status. CONCLUSIONS: Our findings that PCAFC enrollment is associated with increased health care diagnosis and service use may reflect improved access for previously unmet needs in the population of veteran caregivers for veterans in PCAFC. The costs and value of these increases can be weighed against other effects of the program to inform national policies supporting caregivers.

For Rural Hospitals That Merged, Inpatient Charges Decreased and Outpatient Charges Increased: A Pre-/Post-Comparison of Rural Hospitals That Merged and Rural Hospitals That Did Not Merge Between 2005 and 2015.

PURPOSE: To determine whether inpatient and outpatient charges changed at rural hospitals after a merger. METHODS: Hospital mergers were derived from proprietary Irving Levin Associates data through manual review and validation. Hospital-level characteristics were derived from HCRIS, CMS Impact File Hospital Inpatient Prospective Payment System, Hospital MSA file, AHRF, and US Census data. A difference-in-differences approach was used to determine whether inpatient and outpatient charges changed at rural hospitals after a merger. The comparison group, rural hospitals that did not merge at any point during the sample period, was weighted using inverse probability of treatment weights. Key outcome measures were total inpatient and total outpatient charges (logged). FINDINGS: Hospitals that merged billed 17.73% more inpatient charges and 12.66% more outpatient charges at baseline compared to hospitals that did not merge. Our results indicate that merging was associated with a 3.04% decrease in inpatient charges (P < .001) and a 1.07% increase in outpatient charges (P = .082). Merging was also associated with a 4.38% decrease in total revenue, a 3.58% decrease in net patient revenue, and no change in total inpatient discharges or average daily census. CONCLUSIONS & IMPLICATIONS: Merging was strongly associated with a decrease in inpatient charges and somewhat associated with an increase in outpatient charges for rural hospitals. Future work could build upon this work to determine whether acquirers reduce or eliminate certain services at rural hospitals after a merger, and ultimately how changes in service delivery could impact patients in those rural communities.

Travel Time to Radiation Oncology Facilities in the United States and the Influence of Certificate of Need Policies.

PURPOSE: Radiation therapy often requires weeks of daily treatment making travel distance a known barrier to care. However, the full extent and variability of travel burden, defined by travel time, across the nation is poorly understood. Additionally, some states restrict radiation oncology (RO) services through Certificate of Need (CON) policies, but it is unknown how this affects travel times to care. Therefore, we aim to evaluate travel times to US RO facilities and assess the association with CON policies. METHODS AND MATERIALS: RO facilities were identified from the 2018 National Plan and Provider Enumeration System (n = 2302). Travel times from populated US census tracts to nearest facility were calculated; differences by rurality, area deprivation, and region were computed. Multivariable linear regression was used to estimate adjusted differences in travel time by area characteristics. Logistic regression was used to assess the association of state CON laws with travel time >1 hour. RESULTS: Among 72,471 census tracts, 92.4% were within 1 hour of the nearest radiation facility. Among the 12,453 rural tracts, 34.4% were >1 hour. On adjusted analysis, the 3054 isolated rural tracts had an estimated 58-minute (95% confidence interval [CI] 57, 59; P < .001) longer travel time than urban tracts. CON laws decreased rural travel time overall, but the association varied by region with decreased odds of prolonged travel in the South (P < .001), increased odds in the Northeast and Midwest (P < .001), and no association in the West (P = NS). CONCLUSIONS: Isolated rural US census tracts, accounting for 9.4 million Americans, have nearly 1-hour longer adjusted travel time to the nearest RO facility, compared with urban tracts. CON laws had region-dependent associations with prolonged travel.

Capital Expenditures Increased at Rural Hospitals That Merged Between 2012 and 2015.

EXECUTIVE SUMMARY: The number of rural hospital mergers has increased substantially in recent years. A commonly reported reason for merging is to increase access to capital. However, no empirical evidence exists to show whether capital expenditures increased at rural hospitals after a merger. We used a difference-in-differences approach to determine whether total capital expenditures changed at rural hospitals after a merger. The comparison group (rural hospitals that did not merge during the 2012 through 2015 study period) was weighted using inverse probability of treatment weights. The key outcome measure was logged total capital expenditures.Merging resulted in a 26% increase in capital expenditures and also was associated with a significant improvement in plant age. The postmerger improvement in plant age may have been partially attributable to merger-related accounting changes and partially attributable to increased capital expenses, possibly on long-term asset renovations and replacement.These findings suggest that through mergers, rural hospital board members and executives who have accepted or are considering a merger may improve a hospital's ability to increase capital expenditures. Further, increased capital investments in rural hospitals may be an important signal to the community that the acquirer intends to keep the rural hospital open and continue providing some volume and level of services within the community. Future research should determine how capital is spent after a merger.

Rural Hospital Mergers Increased Between 2005 and 2016-What Did Those Hospitals Look Like?

The objective of this study is to determine whether key hospital-level financial and market characteristics are associated with whether rural hospitals merge. Hospital merger status was derived from proprietary Irving Levin Associates data for 2005 through 2016 and hospital-level characteristics from HCRIS, CMS Impact File Hospital Inpatient Prospective Payment System, Hospital MSA file, AHRF, and U.S. Census data for 2004 through 2016. A discrete-time hazard analysis using generalized estimating equations was used to determine whether factors were associated with merging between 2005 and 2016. Factors included measures of profitability, operational efficiency, capital structure, utilization, and market competitiveness. Between 2005 and 2016, 11% (n = 326) of rural hospitals were involved in at least one merger. Rural hospital mergers have increased in recent years, with more than two-thirds (n = 261) occurring after 2011. The types of rural hospitals that merged during the sample period differed from nonmerged rural hospitals. Rural hospitals with higher odds of merging were less profitable, for-profit, larger, and were less likely to be able to cover current debt. Additional factors associated with higher odds of merging were reporting older plant age, not providing obstetrics, being closer to the nearest large hospital, and not being in the West region. By quantifying the hazard of characteristics associated with whether rural hospitals merged between 2005 and 2016, these findings suggest it is possible to determine leading indicators of rural mergers. This work may serve as a foundation for future research to determine the impact of mergers on rural hospitals.

Transportation Barriers to Health Care in the United States: Findings From the National Health Interview Survey, 1997-2017.

Objectives. To quantify the number of people in the US who delay medical care annually because of lack of available transportation and to examine the differential prevalence of this barrier for adults across sociodemographic characteristics and patient populations.Methods. We used data from the National Health Interview Survey (1997-2017) to examine this barrier over time and across groups. We used joinpoint regression analysis to identify significant changes in trends and multivariate analysis to examine correlates of this barrier for the year 2017.Results. In 2017, 5.8 million persons in the United States (1.8%) delayed medical care because they did not have transportation. The proportion reporting transportation barriers increased between 2003 and 2009 with no significant trends before or after this window within our study period. We found that Hispanic people, those living below the poverty threshold, Medicaid recipients, and people with a functional limitation had greater odds of reporting a transportation barrier after we controlled for other sociodemographic and health characteristics.Conclusions. Transportation barriers to health care have a disproportionate impact on individuals who are poor and who have chronic conditions. Our study documents a significant problem in access to health care during a time of rapidly changing transportation technology.

The Medicare Shared Savings Program and Outcomes for Ischemic Stroke Patients: a Retrospective Cohort Study.

BACKGROUND: Post-stroke care delivery may be affected by provider participation in Medicare Shared Savings Program (MSSP) Accountable Care Organizations (ACOs) through systematic changes to discharge planning, care coordination, and transitional care. OBJECTIVE: To evaluate the association of MSSP with patient outcomes in the year following hospitalization for ischemic stroke. DESIGN: Retrospective cohort SETTING: Get With The Guidelines (GWTG)-Stroke (2010-2014) PARTICIPANTS: Hospitalizations for mild to moderate incident ischemic stroke were linked with Medicare claims for fee-for-service beneficiaries ≥ 65 years (N = 251,605). MAIN MEASURES: Outcomes included discharge to home, 30-day all-cause readmission, length of index hospital stay, days in the community (home-time) at 1 year, and 1-year recurrent stroke and mortality. A difference-in-differences design was used to compare outcomes before and after hospital MSSP implementation for patients (1) discharged from hospitals that chose to participate versus not participate in MSSP or (2) assigned to an MSSP ACO versus not or both. Unique estimates for 2013 and 2014 ACOs were generated. KEY RESULTS: For hospitals joining MSSP in 2013 or 2014, the probability of discharge to home decreased by 2.57 (95% confidence intervals (CI) = - 4.43, - 0.71) percentage points (pp) and 1.84 pp (CI = - 3.31, - 0.37), respectively, among beneficiaries not assigned to an MSSP ACO. Among discharges from hospitals joining MSSP in 2013, beneficiary ACO alignment versus not was associated with increased home discharge, reduced length of stay, and increased home-time. For patients discharged from hospitals joining MSSP in 2014, ACO alignment was not associated with changes in utilization. No association between MSSP and recurrent stroke or mortality was observed. CONCLUSIONS: Among patients with mild to moderate ischemic stroke, meaningful reductions in acute care utilization were observed only for ACO-aligned beneficiaries who were also discharged from a hospital initiating MSSP in 2013. Only 1 year of data was available for the 2014 MSSP cohort, and these early results suggest further study is warranted. REGISTRATION: None.

Medicare Shared Savings ACOs and Hospice Care for Ischemic Stroke Patients.

OBJECTIVES: Palliative care services have the potential to improve the quality of end-of-life care and reduce cost. Services such as the Medicare hospice benefit, however, are often underutilized among stroke patients with a poor prognosis. We tested the hypothesis that the Medicare Shared Savings Program (MSSP) is associated with increased hospice enrollment and inpatient comfort measures only among incident ischemic stroke patients with a high mortality risk. DESIGN: A difference-in-differences design was used to compare outcomes before and after hospital participation in the MSSP for patients discharged from MSSP hospitals (N = 273) vs non-MSSP hospitals (N = 1490). SETTING: Records from a national registry, Get with the Guidelines (GWTG)-Stroke, were linked to Medicare hospice claims (2010-2015). PARTICIPANTS: Fee-for-service Medicare beneficiaries age 65 and older hospitalized for incident ischemic stroke at a GWTG-Stroke hospital from January 2010 to December 2014 (N = 324 959). INTERVENTION: Discharge from an MSSP hospital or beneficiary alignment with an MSSP Accountable Care Organization (ACO). MEASUREMENTS: Hospice enrollment in the year following stroke. RESULTS: Among patients with high mortality risk, ACO alignment was associated with a 16% increase in odds of hospice enrollment (adjusted odds ratio [OR] = 1.16; 95% confidence interval [CI] = 1.06-1.26), increasing the probability of hospice enrollment from 20% to 22%. In the low mortality risk group, discharge from an MSSP vs non-MSSP hospital was associated with a decrease in the predicted probability of inpatient comfort measures or discharge to hospice from 9% to 8% (OR = .82; CI = .74-.91), and ACO alignment was associated with reduced odds of a short stay (<7 days) (OR = .86; CI = .77-.96). CONCLUSION: Among ischemic stroke patients with severe stroke or indicators of high mortality risk, MSSP was associated with increased hospice enrollment. MSSP contract incentives may motivate improved end-of-life care among the subgroups most likely to benefit.

Do Live Discharge Rates Increase as Hospices Approach Their Medicare Aggregate Payment Caps?

CONTEXT: The rate of live discharge from hospice and the proportion of hospices exceeding their aggregate caps have both increased for the last 15 years, becoming a source of federal scrutiny. The cap restricts aggregate payments hospices receive from Medicare during a 12-month period. The risk of repayment and the manner in which the cap is calculated may incentivize hospices coming close to their cap ceilings to discharge existing patients before the end of the cap year. OBJECTIVE: The objective of this work was to explore annual cap-risk trends and live discharge patterns. We hypothesized that as a hospice comes closer to exceeding its cap, a patient's likelihood of being discharged alive increases. METHODS: We analyzed monthly hospice outcomes using 2012-2013 Medicare claims. RESULTS: Adjusted analyses showed a positive and statistically significant relationship between cap risk and live discharges. CONCLUSION: Policymakers ought to consider the unintended consequences the aggregate cap may be having on patient outcomes of care.

A Positive Association Between Hospice Profit Margin And The Rate At Which Patients Are Discharged Before Death.

Hospice care is designed to support patients and families through the final phase of illness and death. Yet for more than a decade, hospices have steadily increased the rate at which they discharge patients before death-a practice known as "live discharge." Although certain live discharges are consistent with high-quality care, regulators have expressed concern that some hospices' desire to maximize profits drives them to inappropriately discharge patients. We used Medicare claims data for 2012-13 and cost reports for 2011-13 to explore relationships between hospice-level financial margins and live discharge rates among freestanding hospices. Adjusted analyses showed positive and significant associations between both operating and total margins and hospice-level rates of live discharge: One-unit increases in operating and total margin were associated with increases of 3 percent and 4 percent in expected hospice-level live discharge rates, respectively. These findings suggest that additional research is needed to explore links between profitability and patient-centeredness in the Medicare hospice program.

Health Insurance Type and Control of Hypertension Among US Women Living With and Without HIV Infection in the Women's Interagency HIV Study.

BACKGROUND: Health care access is an important determinant of health. We assessed the effect of health insurance status and type on blood pressure control among US women living with (WLWH) and without HIV. METHODS: We used longitudinal cohort data from the Women's Interagency HIV Study (WIHS). WIHS participants were included at their first study visit since 2001 with incident uncontrolled blood pressure (BP) (i.e., BP ≥140/90 and at which BP at the prior visit was controlled (i.e., <135/85). We assessed time to regained BP control using inverse Kaplan-Meier curves and Cox proportional hazard models. Confounding and selection bias were accounted for using inverse probability-of-exposure-and-censoring weights. RESULTS: Most of the 1,130 WLWH and 422 HIV-uninfected WIHS participants who had an elevated systolic or diastolic measurement were insured via Medicaid, were African-American, and had a yearly income ≤$12,000. Among participants living with HIV, comparing the uninsured to those with Medicaid yielded an 18-month BP control risk difference of 0.16 (95% CI: 0.10, 0.23). This translates into a number-needed-to-treat (or insure) of 6; to reduce the caseload of WLWH with uncontrolled BP by one case, five individuals without insurance would need to be insured via Medicaid. Blood pressure control was similar among WLWH with private insurance and Medicaid. There were no differences observed by health insurance status on 18-month risk of BP control among the HIV-uninfected participants. CONCLUSIONS: These results underscore the importance of health insurance for hypertension control-especially for people living with HIV.

How Would Rural Hospitals Be Affected by Loss of the Affordable Care Act's Medicare Low-Volume Hospital Adjustment?

PURPOSE: The low-volume hospital (LVH) payment adjustment established in the Patient Protection and Affordable Care Act (ACA) of 2010 is scheduled to sunset on October 1, 2017. The purpose of this analysis was: (1) to estimate the effect of the ACA LVH adjustment on qualifying hospitals' profitability margins; and (2) to examine hospital and market characteristics of the hospitals that would be most adversely affected by the loss of the ACA LVH adjustment. METHODS: 2004-2015 data from the Hospital Cost Report Information System, Hospital Market Service Area File and Nielsen-Claritas Pop-Facts file were used to estimate difference-in-difference regression models with hospital-level random effects in order to determine whether the ACA LVH adjustment improved qualifying rural hospitals' profitability margins. Recycled predictions estimated the effect of losing the ACA LVH adjustment on profitability margins. Bivariate analyses explored associations between the predicted profitability margins and hospital and market characteristics. FINDINGS: The ACA LVH adjustment significantly improved Sole Community Hospitals' Medicare inpatient margins in the year they received the adjustment, and it had a large but statistically insignificant effect on the profitability margins of other rural hospitals. Hospitals that would be the most adversely affected by loss of the ACA LVH adjustment were more likely to be small, located in the South, and in high-poverty markets with higher proportions of black and uninsured individuals. CONCLUSIONS: Elimination of the ACA LVH adjustment would have differential effects on subgroups of hospitals, and those located in markets serving historically underserved populations would be the most adversely affected.

Controlled Substance Lock-In Programs: Examining An Unintended Consequence Of A Prescription Drug Abuse Policy.

Controlled substance lock-in programs are garnering increased attention from payers and policy makers seeking to combat the epidemic of opioid misuse. These programs require high-risk patients to visit a single prescriber and pharmacy for coverage of controlled substance medication services. Despite high prevalence of the programs in Medicaid, we know little about their effects on patients' behavior and outcomes aside from reducing controlled substance-related claims. Our study was the first rigorous investigation of lock-in programs' effects on out-of-pocket controlled substance prescription fills, which circumvent the programs' restrictions and mitigate their potential public health benefits. We linked claims data and prescription drug monitoring program data for the period 2009-12 for 1,647 enrollees in North Carolina Medicaid's lock-in program and found that enrollment was associated with a roughly fourfold increase in the likelihood and frequency of out-of-pocket controlled substance prescription fills. This finding illuminates weaknesses of lock-in programs and highlights the need for further scrutiny of the appropriate role, optimal design, and potential unintended consequences of the programs as tools to prevent opioid abuse.

Impact of Health Insurance, ADAP, and Income on HIV Viral Suppression Among US Women in the Women's Interagency HIV Study, 2006-2009.

BACKGROUND: Implementation of the Affordable Care Act motivates assessment of health insurance and supplementary programs, such as the AIDS Drug Assistance Program (ADAP) on health outcomes of HIV-infected people in the United States. We assessed the effects of health insurance, ADAP, and income on HIV viral load suppression. METHODS: We used existing cohort data from the HIV-infected participants of the Women's Interagency HIV Study. Cox proportional hazards models were used to estimate the time from 2006 to unsuppressed HIV viral load (>200 copies/mL) among those with Medicaid, private, Medicare, or other public insurance, and no insurance, stratified by the use of ADAP. RESULTS: In 2006, 65% of women had Medicaid, 18% had private insurance, 3% had Medicare or other public insurance, and 14% reported no health insurance. ADAP coverage was reported by 284 women (20%); 56% of uninsured participants reported ADAP coverage. After accounting for study site, age, race, lowest observed CD4, and previous health insurance, the hazard ratio (HR) for unsuppressed viral load among those privately insured without ADAP, compared with those on Medicaid without ADAP (referent group), was 0.61 (95% CI: 0.48 to 0.77). Among the uninsured, those with ADAP had a lower relative hazard of unsuppressed viral load compared with the referent group (HR, 95% CI: 0.49, 0.28 to 0.85) than those without ADAP (HR, 95% CI: 1.00, 0.63 to 1.57). CONCLUSIONS: Although women with private insurance are most likely to be virally suppressed, ADAP also contributes to viral load suppression. Continued support of this program may be especially critical for states that have not expanded Medicaid.

Minimum-distance requirements could harm high-performing critical-access hospitals and rural communities.

Since the inception of the Medicare Rural Hospital Flexibility Program in 1997, over 1,300 rural hospitals have converted to critical-access hospitals, which entitles them to Medicare cost-based reimbursement instead of reimbursement based on the hospital prospective payment system (PPS). Several changes to eligibility for critical-access status have recently been proposed. Most of the changes focus on mandating that hospitals be located a certain minimum distance from the nearest hospital. Our study found that critical-access hospitals located within fifteen miles of another hospital generally are larger, provide better quality, and are financially stronger compared to critical-access hospitals located farther from another hospital. Returning to the PPS would have considerable negative impacts on critical-access hospitals that are located near another hospital. We conclude that establishing a minimum-distance requirement would generate modest cost savings for Medicare but would likely be disruptive to the communities that depend on these hospitals for their health care.

Financial indicators for critical access hospitals.

CONTEXT: There is a growing recognition of the need to measure and report hospital financial performance. However, there exists little comparative financial indicator data specifically for critical access hospitals (CAHs). CAHs differ from other hospitals on a number of dimensions that might affect appropriate indicators of performance, including differences in Medicare reimbursement, limits on bed size and average length of stay, and relaxed staffing rules. PURPOSE: To develop comparative financial indicators specifically designed for CAHs using Medicare cost report data. METHODS: A technical advisory group of individuals with extensive experience in rural hospital finance and operations provided advice to a research team from the University of North Carolina at Chapel Hill. Twenty indicators deemed appropriate for assessment of CAH financial condition were chosen and formulas determined. Issues 1 and 2 of the CAH Financial Indicators Report were mailed to the chief executive officers of 853 CAHs in the summer of 2004 and 1,092 CAHs in the summer of 2005, respectively. Each report included indicator values specifically for their CAH, indicator medians for peer groups, and an evaluation form. FINDINGS: Chief executive officers found the indicators to be useful and the underlying formulas to be appropriate. The multiple years of data provide snapshots of the industry as a whole, rather than trend data for a constant set of hospitals. CONCLUSIONS: The CAH Financial Indicators Report is a useful first step toward comparative financial indicators for CAHs.