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Background: Hip fractures are costly and common in older adults, but there is limited understanding of how treatment patterns and outcomes might differ between countries. Methods: We performed a retrospective serial cross‐sectional cohort study of adults aged ≥66 years hospitalized with hip fracture between 2011 and 2018 in the US, Canada, England, the Netherlands, Taiwan, and Israel using population‐representative administrative data. We examined mortality, hip fracture treatment approaches (total hip arthroplasty [THA], hemiarthroplasty [HA], internal fixation [IF], and nonoperative), and health system performance measures, including hospital length of stay (LOS), 30‐day readmission rates, and time‐to‐surgery. Results: The total number of hip fracture admissions between 2011 and 2018 ranged from 23,941 in Israel to 1,219,696 in the US. In 2018, 30‐day mortality varied from 3% (16% at 1 year) in Taiwan to 10% (27%) in the Netherlands. With regards to processes of care, the proportion of hip fractures treated with HA (range 23%–45%) and THA (0.2%–10%) differed widely across countries. For example, in 2018, THA was used to treat approximately 9% of patients in England and Israel but less than 1% in Taiwan. Overall, IF was the most common surgery performed in all countries (40%–60% of patients). IF was used in approximately 60% of patients in the US and Israel, but only 40% in England. In 2018, rates of nonoperative management ranged from 5% of patients in Taiwan to nearly 10% in England. Mean hospital LOS in 2018 ranged from 6.4 days (US) to 18.7 days (England). The 30‐day readmission rate in 2018 ranged from 8% (in Canada and the Netherlands) to nearly 18% in England. The mean days to surgery in 2018 ranged from 0.5 days (Israel) to 1.6 days (Canada). Conclusions: We observed substantial between‐country variation in mortality, surgical approaches, and health system performance measures. These findings underscore the need for further research to inform evidence‐based surgical approaches. [ABSTRACT FROM AUTHOR]

Background: Health care providers who participate as an accountable care organization (ACO) in the voluntary Medicare Shared Savings Program (MSSP) have incentives to lower spending for Medicare patients while achieving high performance on a set of quality measures. Little is known about the extent to which early savings achieved by ACOs in the program have grown and been replicated by ACOs that entered the program in later years. ACOs that are physician groups have stronger incentives to lower spending than hospital-integrated ACOs.Methods: Using fee-for-service Medicare claims from 2009 through 2015, we performed difference-in-differences analyses to compare changes in Medicare spending for patients in ACOs before and after entry into the MSSP with concurrent changes in spending for local patients served by providers not participating in the MSSP (control group). We estimated differential changes (i.e., the between-group difference in the change from the pre-entry period) separately for hospital-integrated ACOs and physician-group ACOs that entered the MSSP in 2012, 2013, or 2014.Results: MSSP participation was associated with differential spending reductions in physician-group ACOs. These reductions grew with longer participation in the program and were significantly greater than the reductions in hospital-integrated ACOs. By 2015, the mean differential change in per-patient Medicare spending was -$474 (-4.9% of the pre-entry mean, P<0.001) for physician-group ACOs that entered in 2012, -$342 (-3.5% of the pre-entry mean, P<0.001) for those that entered in 2013, and -$156 (-1.6% of the pre-entry mean, P=0.009) for those that entered in 2014. The corresponding differential changes for hospital-integrated ACOs were -$169 (P=0.005), -$18 (P=0.78), and $88 (P=0.14), which were significantly lower than for physician-group ACOs (P<0.001). Spending reductions in physician-group ACOs constituted a net savings to Medicare of $256.4 million in 2015, whereas spending reductions in hospital-integrated ACOs were offset by bonus payments.Conclusions: After 3 years of the MSSP, participation in shared-savings contracts by physician groups was associated with savings for Medicare that grew over the study period, whereas hospital-integrated ACOs did not produce savings (on average) during the same period. (Funded by the National Institute on Aging.). [ABSTRACT FROM AUTHOR]

In a substantial shift in payment policy, the State of Maryland implemented a global budget program for acute care hospitals in 2010. Goals of the program include controlling hospital use and spending. Eight rural hospitals entered the program in 2010, while urban and suburban hospitals joined in 2014. Prior analyses, which focused on urban and suburban hospitals, did not find consistent evidence that Maryland's program had contributed to changes in hospital use after two years. However, these studies were limited by short follow-up periods, may have failed to isolate impacts of Maryland's payment change from other state trends, and had limited generalizability to rural settings. To understand the effects of Maryland's global budget program on rural hospitals, we compared changes in hospital use among Medicare beneficiaries served by affected rural hospitals versus an in-state control population from before to after 2010. By 2013--three years after the rural program began--there were no differential changes in acute hospital use or price-standardized hospital spending among beneficiaries served by the affected hospitals, versus the within-state control group. Our results suggest that among Medicare beneficiaries, global budgets in rural Maryland hospitals did not reduce hospital use or price-standardized spending as policy makers had anticipated. [ABSTRACT FROM AUTHOR]

Objective: To forecast out-of-pocket health care spending among older adults. Long-term forecasts allow policy makers to explore potential impacts of policy scenarios, but existing microsimulations do not incorporate details of supplemental insurance coverage and income effects on health care spending.Data Sources: Dynamic microsimulation calibrated to survey and administrative data.Study Design: We augment Urban Institute's Dynamic Simulation of Income Model (DYNASIM) with modules that incorporate demand responses and economic equilibria, with dynamics driven by exogenous technological change. A lengthy technical appendix provides details of the microsimulation model and economic assumptions for readers interested in applying these techniques.Principal Findings: The model projects total out-of-pocket spending (point of care plus premiums) as a share of income for adults aged 65 and older. People with lower incomes and poor health fare worse, despite protections of Medicaid. Spending rises 40 percent from 2012 to 2035 (from 10 to 14 percent of income) for the median beneficiary, but it increases from 5 to 25 percent of income for low-income beneficiaries and from 23 to 29 percent for the near poor who are in fair/poor health.Conclusions: Despite Medicare coverage, near-poor seniors will face out-of-pocket spending that would render them, in practical terms, underinsured. [ABSTRACT FROM AUTHOR]

Objective: To study how differences in quality score adjustments across Medicare Advantage contracts change comparisons for individuals and contracts.Data Sources: Responses to the Medicare Advantage implementation of the Consumer Assessments of Healthcare Providers and Systems (CAHPS) survey from 2010 to 2014.Study Design: We fit national-and state-level hierarchical models to predict CAHPS scores for individuals and contracts, adjusted for self-reported education, general health, and mental health. We allow the effects of these variables on quality measures to vary across contracts with a hierarchical model.Data Collection/extraction Methods: We perform secondary data analysis.Principal Findings: For average consumers, standard adjustment is sufficient to represent variation in contract quality standardized to a common population. For people with characteristics far from average, personalized reporting using their characteristics and contract-specific coefficients can substantially change the expected quality measures across contracts. This effect is stronger when comparing among contracts within a state than across all contracts.Conclusions: Customized reporting may help consumers select the best Medicare Advantage plan, but policies should protect against unintended consequences. [ABSTRACT FROM AUTHOR]

Home care recipients are often hospitalized for potentially avoidable reasons. A pilot program (Intervention in Home Care to Improve Health Outcomes (In-Home)) was designed to help home care providers identify acute clinical changes in condition and then manage the condition in the home and thereby avoid a costly hospitalization. Caregivers answer simple questions about the care recipient's condition during a telephone-based 'clock-out' at the end of each shift. Responses are electronically captured in the agency management software that caregivers use to 'clock-in,' manage care, and 'clock-out' on every shift. These are transmitted to the agency's care manager, who follows up on the change in condition and escalates appropriately. A description of the In-Home model is presented, and pilot data from 22 home care offices are reported. In the pilot, caregivers reported a change in condition after 2% of all shifts, representing an average of 1.9 changes per care recipient in a 6-month period. Changes in behavior and skin condition were the most frequently recorded domains. Interviews with participating caregivers and care managers suggested positive attitudes regarding the intervention; challenges included resistance to change on the part of home care staff and difficulties in applying a uniform intervention to individuals with varying needs in home care offices with varying capacities. In an ongoing randomized trial, the success of the overall program will be measured primarily according to the potential reduction in avoidable hospitalizations of home care recipients and the effect this potential reduction has on spending and healthcare outcomes. [ABSTRACT FROM AUTHOR]

Purpose Elderly patients with cancer are under-represented in clinical trials and risk greater toxicity from chemotherapy. These patients and their physicians need better evidence to decide among guideline-recommended regimens. We test whether patients with extensive-stage small-cell lung cancer (ES SCLC) have noninferior survival and less hospital-based health care after carboplatin/etoposide compared with cisplatin/etoposide. Methods We analyzed SEER-Medicare data for beneficiaries with ES SCLC diagnosed at age 67 years and older between 1995 and 2009. Among patients treated with first-line chemotherapy in the ambulatory setting, 831 received cisplatin/etoposide and 2,846 received carboplatin/etoposide. Propensity score matching (2:1 ratio) yielded 778 cisplatin/etoposide and 1,502 carboplatin/etoposide patients. Results Survival was nearly identical in the two groups: 35.7 weeks for cisplatin/etoposide and 35.9 weeks for carboplatin/etoposide. The hazard ratio of 1 (95% Cl, 0.91 to 1.09) excluded our prespecified threshold, indicating noninferiority. Mortality at 6 months was indistinguishable: 35% for cisplatin/etoposide and 34% for carboplatin/etoposide. After carboplatin/etoposide, patients were less likely to be admitted to a hospital (80% v86%, P < .001) and had fewer hospitalizations (median 1 v 2, odds ratio 0.76,95% Cl, 0.65 to 0.9), ED visits (median 1 v 2, odds ratio 0.82, 95% Cl, 0.7 to 0.96), and ICU stays (median 0 v 0, odds ratio 0.82, 95% Cl, 0.69 to 0.99). Conclusion First-line carboplatin/etoposide is associated with similar survival and less subsequent hospital-based health care use than cisplatin/etoposide among elderly patients with ES SCLC treated in ambulatory settings. [ABSTRACT FROM AUTHOR]

Background: In the Medicare Shared Savings Program (MSSP), accountable care organizations (ACOs) have financial incentives to lower spending and improve quality. We used quasi-experimental methods to assess the early performance of MSSP ACOs.Methods: Using Medicare claims from 2009 through 2013 and a difference-in-differences design, we compared changes in spending and in performance on quality measures from before the start of ACO contracts to after the start of the contracts between beneficiaries served by the 220 ACOs entering the MSSP in mid-2012 (2012 ACO cohort) or January 2013 (2013 ACO cohort) and those served by non-ACO providers (control group), with adjustment for geographic area and beneficiary characteristics. We analyzed the 2012 and 2013 ACO cohorts separately because entry time could reflect the capacity of an ACO to achieve savings. We compared ACO savings according to organizational structure, baseline spending, and concurrent ACO contracting with commercial insurers.Results: Adjusted Medicare spending and spending trends were similar in the ACO cohorts and the control group during the precontract period. In 2013, the differential change (i.e., the between-group difference in the change from the precontract period) in total adjusted annual spending was -$144 per beneficiary in the 2012 ACO cohort as compared with the control group (P=0.02), consistent with a 1.4% savings, but only -$3 per beneficiary in the 2013 ACO cohort as compared with the control group (P=0.96). Estimated savings were consistently greater in independent primary care groups than in hospital-integrated groups among 2012 and 2013 MSSP entrants (P=0.005 for interaction). MSSP contracts were associated with improved performance on some quality measures and unchanged performance on others.Conclusions: The first full year of MSSP contracts was associated with early reductions in Medicare spending among 2012 entrants but not among 2013 entrants. Savings were greater in independent primary care groups than in hospital-integrated groups. [ABSTRACT FROM AUTHOR]

Context: Structural features of health care environments are associated with patient health outcomes, but these relationships are not well understood in sports medicine. Objective: To evaluate the association between athlete injury outcomes and structural measures of health care at universities: (1) clinicians per athlete, (2) financial model of the sports medicine department, and (3) administrative reporting structure of the sports medicine department. Design: Descriptive epidemiology study. Setting: Collegiate sports medicine programs. Patients or Other Participants: Colleges that contribute data to the National Collegiate Athletic Association (NCAA) Injury Surveillance Program. Main Outcome Measure(s): We combined injury data from the NCAA Injury Surveillance Program, sports medicine staffing data from NCAA Research, athletic department characteristics from the United States Department of Education, and financial and administrative oversight model data from a previous survey. Rates of injury, reinjury, concussion, and time loss (days) in NCAA athletes. Results: Compared with schools that had an average number of clinicians per athlete, schools 1 standard deviation above average had a 9.5% lower injury incidence (103.6 versus 93.7 per 10000 athlete-exposures [AEs]; incidence rate ratio [IRR] = 0.905, P, .001), 2.7% lower incidence of reinjury (10.6 versus 10.3 per 10000 AEs; IRR = 0.973, P = .004), and 6.7% lower incidence of concussion (6.1 versus 5.7 per 10000 AEs; IRR = 0.933, P, .001). Compared with the average, schools that had 1 standard deviation more clinicians per athlete had 16% greater injury time loss (5.0 days versus 4.2 days; IRR = 1.16, P, .001). At schools with sports medicine departments financed by or reporting to the athletics department (or both), athletes had higher injury incidences (31% and 9%, respectively). Conclusions: The financial and reporting structures of collegiate sports medicine departments as well as the number of clinicians per athlete were associated with injury risk. Increasing the number of sports medicine clinicians on staff and structuring sports medicine departments such that they are financed by and report to a medical institution may reduce athlete injury incidence. [ABSTRACT FROM AUTHOR]

Characterizations of average end-of-life care for people with cancer can obscure important differences in patients' experiences. Using Medicare claims data for 14,257 patients diagnosed with extensive-stage small-cell lung cancer in the period 1995-2009, we used latent class analysis to identify classes of people with different care patterns. We characterized care trajectories from diagnosis to death using time spent in five care settings--home, hospital inpatient unit (acute), hospital intensive care unit (ICU), postacute skilled nursing facility, and hospice--and transitions across these settings. We identified four classes of patients: 66 percent spent the time primarily at home, 11 percent were primarily in hospice, 17 percent were largely in an acute setting, and 6 percent were largely in an ICU. Patients in these classes differed significantly in terms of baseline clinical characteristics, survival length, time spent in hospice, site of death, and spending. The findings show substantial heterogeneity in patterns of care for patients with advanced cancer, which should be accounted for in efforts to improve end-of-life care. [ABSTRACT FROM AUTHOR]