Project description:To determine if Medicare Shared Savings Program (MSSP) accountable care organizations (ACOs) are meeting public reporting requirements related to shared savings plans, to quantitate the composition of shared savings distribution plans, and to investigate whether early ACO success is associated with specific plan or ACO characteristics.Cross-sectional study.ACO descriptive characteristics and distribution plan details were abstracted from official ACO websites for all 338 active MSSP ACOs launched through January 2014. Publicly available MSSP results from 2012 and 2013 start date ACOs were used to investigate associations with successful shared savings generation.Of current MSSP ACOs, 313 of 338 (93%) maintain a website, 284 of 338 (84%) provided at least a general statement about shared savings distributions, and 176 of 338 (52%) reported detailed allocation percentages to ACO participants. On average, ACOs reporting detailed allocations planned to give 63% (range = 0%-100%; SD = 26.3) to their primary care providers (PCPs), specialists, and/or hospitals, and 33% (range = 0%-100%; SD = 25.6) to infrastructure. ACOs including a hospital planned to give a larger average percentage to participating entities than those without (69% vs 58%; P = .01). ACOs planning to give > 50% to their PCPs and specialists were more likely to have generated savings (P = .001), as were ACOs composed of > 10 participating entities (P = .004).Just over one-half of MSSP ACOs report detailed shared savings distribution plans online, and these plans vary widely. There appears to be no single shared savings distribution plan determinate of ACO success. Continued investigation of predictors for generating savings is needed to inform future shared savings models.
Project description:Many individuals have not received recommended colorectal cancer (CRC) screening before they become Medicare eligible at the age of 65. We aimed to estimate the long-term implications of increased CRC screening in the pre-Medicare population (50-64 y) on costs in the pre-Medicare and Medicare populations (65+ y).We used 2 independently developed microsimulation models [Microsimulation Screening Analysis Colon (MISCAN) and Simulation Model of CRC (SimCRC)] to project CRC screening and treatment costs under 2 scenarios, starting in 2010: "current trends" (60% of the population up-to-date with screening recommendations) and "enhanced participation" (70% up-to-date). The population was scaled to the projected US population for each year between 2010 and 2060. Costs per year were derived by age group (50-64 and 65+ y).By 2060, the discounted cumulative total costs in the pre-Medicare population were $35.7 and $28.1 billion higher with enhanced screening participation, than in the current trends scenario ($252.1 billion with MISCAN and $239.5 billion with SimCRC, respectively). Because of CRC treatment savings with enhanced participation, cumulative costs in the Medicare population were $18.3 and $32.7 billion lower (current trends: $423.5 billion with MISCAN and $372.8 billion with SimCRC). Over the 50-year time horizon an estimated 60% (MISCAN) and 89% (SimCRC) of the increased screening costs could be offset by savings in Medicare CRC treatment costs.Increased CRC screening participation in the pre-Medicare population could reduce CRC incidence and mortality, whereas the additional screening costs can be largely offset by long-term Medicare treatment savings.
Project description:BackgroundHealth 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.MethodsUsing 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.ResultsMSSP 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.ConclusionsAfter 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.).
Project description:ObjectiveAnalyze statistical risks facing CMS and Accountable Care Organizations (ACOs) under the Medicare Shared Savings Program (MSSP).MethodsWe calculate the probability that shared savings formulas lead to inappropriate payment, payment denial, and/or financial penalties, assuming that ACOs generate real savings in Medicare spending ranging from 0-10%. We also calculate expected payments from CMS to ACOs under these scenarios.ResultsThe probability of an incorrect outcome is heavily dependent on ACO enrollment size. For example, in the MSSP two-sided model, an ACO with 5,000 enrollees that keeps spending constant faces a 0.24 probability of being inappropriately rewarded for savings and a 0.26 probability of paying an undeserved penalty for increased spending. For an ACO with 50,000 enrollees, both of these probabilities of incorrect outcomes are equal to 0.02. The probability of inappropriate payment denial declines as real ACO savings increase. Still, for ACOs with 5,000 patients, the probability of denial is at least 0.15 even when true savings are 5-7%. Depending on ACO size and the real ACO savings rate, expected ACO payments vary from $115,000 to $35.3 million.DiscussionOur analysis indicates there may be greater statistical uncertainty in the MSSP than previously recognized. CMS and ACOs will have to consider this uncertainty in their financial, administrative, and care management planning. We also suggest analytic strategies that can be used to refine ACO payment formulas in the longer term to ensure that the MSSP (and other ACO initiatives that will be influenced by it) work as efficiently as possible.
Project description:ImportanceAllowing the US Centers for Medicare & Medicaid Services to negotiate prescription drug prices for Medicare may improve drug affordability.ObjectiveTo estimate savings from Medicare price negotiation under the Inflation Reduction Act (IRA) and examine opportunities to increase savings.Design, setting, and participantsThis cross-sectional, population-based study used data from 2020 Medicare prescription drug claims. The study was conducted and data were analyzed in 2022.ExposuresEligibility for Medicare price negotiation under the IRA and alternative criteria.Main outcomes and measuresMinimum savings under the IRA's eligibility criteria were estimated and compared with savings within alternative scenarios, including (1) selecting drugs for negotiation based on net spending after rebates rather than gross spending; (2) extending eligibility to drugs with biosimilar or generic competitors; (3) reducing the minimum years since US Food and Drug Administration approval for eligibility; and (4) changing 2 or 3 of these factors. Estimated savings were calculated at different levels of scale-up of price negotiation under the IRA, from 10 Part D drugs in 2026 to 60 Part B and D drugs in 2029. Gross spending was calculated using the US Centers for Medicare & Medicaid Services 2020 Medicare drug spending dashboard. Rebates were estimated using SSR Health data. Information on FDA approvals, generics, and biosimilars was obtained from FDA websites.ResultsUnder IRA rules, estimated minimum savings from price negotiation in 2026 for 10 Part D drugs would be $3.2 billion. For 2029 for 60 Part D and B drugs, estimated savings were $16.0 billion. Selecting drugs for negotiation based on net rather than gross spending would be associated with estimated savings of $4.6 billion (a 45% increase) in 2026 and $18.9 billion (an 18% increase) in 2029. Including drugs with generic competitors or biosimilars would be associated with an estimated savings of $6.6 billion (a 109% increase) in 2026 and $24.9 billion (a 56% increase) in 2029. Making both changes would be associated with savings of $9.5 billion (a 200% increase) in 2026 and $28.3 billion (a 77% increase) in 2029. A sensitivity analysis suggested that reducing the required number of years since marketing approval by 2 years would be associated with increased estimated savings of 4% when 10 Part D drugs are negotiated and 12% when 60 Part D and B drugs are negotiated. Changing all 3 criteria would be associated with the greatest increase in estimated savings in 2029 (119% increase when 10 Part D drugs are negotiated and 93% increase for 60 Part D and B drugs).Conclusions and relevanceThe results of this cross-sectional study suggest that adjusting the eligibility criteria for Medicare prescription drug price negotiation to permit inclusion of drugs with biosimilar or generic competitors and selecting drugs based on net rather than gross spending may be a promising approach to substantially increase estimated savings.
Project description:Policy Points Concerns have been raised about risk selection in the Medicare Shared Savings Program (MSSP). Specifically, turnover in accountable care organization (ACO) physicians and patient panels has led to concerns that ACOs may be earning shared-savings bonuses by selecting lower-risk patients or providers with lower-risk panels. We find no evidence that changes in ACO patient populations explain savings estimates from previous evaluations through 2015. We also find no evidence that ACOs systematically manipulated provider composition or billing to earn bonuses. The modest savings and lack of risk selection in the original MSSP design suggest opportunities to build on early progress. Recent program changes provide ACOs with more opportunity to select providers with lower-risk patients. Understanding the effect of these changes will be important for guiding future payment policy.ContextThe Medicare Shared Savings Program (MSSP) establishes incentives for participating accountable care organizations (ACOs) to lower spending for their attributed fee-for-service Medicare patients. Turnover in ACO physicians and patient panels has raised concerns that ACOs may be earning shared-savings bonuses by selecting lower-risk patients or providers with lower-risk panels.MethodsWe conducted three sets of analyses of Medicare claims data. First, we estimated overall MSSP savings through 2015 using a difference-in-differences approach and methods that eliminated selection bias from ACO program exit or changes in the practices or physicians included in ACO contracts. We then checked for residual risk selection at the patient level. Second, we reestimated savings with methods that address undetected risk selection but could introduce bias from other sources. These included patient fixed effects, baseline or prospective assignment, and area-level MSSP exposure to hold patient populations constant. Third, we tested for changes in provider composition or provider billing that may have contributed to bonuses, even if they were eliminated as sources of bias in the evaluation analyses.FindingsMSSP participation was associated with modest and increasing annual gross savings in the 2012-2013 entry cohorts of ACOs that reached $139 to $302 per patient by 2015. Savings in the 2014 entry cohort were small and not statistically significant. Robustness checks revealed no evidence of residual risk selection. Alternative methods to address risk selection produced results that were substantively consistent with our primary analysis but varied somewhat and were more sensitive to adjustment for patient characteristics, suggesting the introduction of bias from within-patient changes in time-varying characteristics. We found no evidence of ACO manipulation of provider composition or billing to inflate savings. Finally, larger savings for physician group ACOs were robust to consideration of differential changes in organizational structure among non-ACO providers (eg, from consolidation).ConclusionsParticipation in the original MSSP program was associated with modest savings and not with favorable risk selection. These findings suggest an opportunity to build on early progress. Understanding the effect of new opportunities and incentives for risk selection in the revamped MSSP will be important for guiding future program reforms.
Project description:ImportanceThe 2 primary efforts of Medicare to advance value-based care are Medicare Advantage (MA) and the fee-for-service-based Medicare Shared Savings Program (MSSP). It is unknown how spending differs between the 2 programs after accounting for differences in patient clinical risk.ObjectiveTo examine how spending and utilization differ between MA and MSSP beneficiaries after accounting for differences in clinical risk using data from administrative claims and electronic health records.Design, setting, and participantsThis retrospective economic evaluation used data from 15 763 propensity score-matched beneficiaries who were continuously enrolled in MA or MSSP from January 1, 2014, to December 31, 2018, with diabetes, congestive heart failure (CHF), chronic kidney disease (CKD), or hypertension. Participants received care at a large nonprofit academic health system in the southern United States that bears risk for Medicare beneficiaries through both the MA and MSSP programs. Differences in beneficiary risk were mitigated by propensity score matching using validated clinical criteria based on data from administrative claims and electronic health records. Data were analyzed from January 2019 to May 2022.ExposuresEnrollment in MA or attribution to an accountable care organization in the MSSP program.Main outcomes and measuresPer-beneficiary annual total spending and subcomponents, including inpatient hospital, outpatient hospital, skilled nursing facility, emergency department, primary care, and specialist spending.ResultsThe sample of 15 763 participants included 12 720 (81%) MA and 3043 (19%) MSSP beneficiaries. MA beneficiaries, compared with MSSP beneficiaries, were more likely to be older (median [IQR] age, 75.0 [69.9-81.8] years vs 73.1 [68.3-79.8] years), male (5515 [43%] vs 1119 [37%]), and White (9644 [76%] vs 2046 [69%]) and less likely to live in low-income zip codes (2338 [19%] vs 750 [25%]). The mean unadjusted per-member per-year spending difference between MSSP and MA disease-specific subcohorts was $2159 in diabetes, $4074 in CHF, $2560 in CKD, and $2330 in hypertension. After matching on clinical risk and demographic factors, MSSP spending was higher for patients with diabetes (mean per-member per-year spending difference in 2015: $2454; 95% CI, $1431-$3574), CHF ($3699; 95% CI, $1235-$6523), CKD ($2478; 95% CI, $1172-$3920), and hypertension ($2258; 95% CI, $1616-2,939). Higher MSSP spending among matched beneficiaries was consistent over time. In the matched cohort in 2018, MSSP total spending ranged from 23% (CHF) to 30% (CKD) higher than MA. Adjusting for differential trends in coding intensity did not affect these results. Higher outpatient hospital spending among MSSP beneficiaries contributed most to spending differences between MSSP and MA, representing 49% to 62% of spending differences across disease cohorts.Conclusions and relevanceIn this study, utilization and spending were consistently higher for MSSP than MA beneficiaries within the same health system even after adjusting for granular metrics of clinical risk. Nonclinical factors likely contribute to the large differences in MA vs MSSP spending, which may create challenges for health systems participating in MSSP relative to their participation in MA.
Project description:ImportancePostacute care is thought to be a major source of wasteful spending. The extent to which accountable care organizations (ACOs) can limit postacute care spending has implications for the importance and design of other payment models that include postacute care.ObjectiveTo assess changes in postacute care spending and use of postacute care associated with provider participation as ACOs in the Medicare Shared Savings Program (MSSP) and the pathways by which they occurred.Design, setting, and participantsWith the use of fee-for-service Medicare claims from a random 20% sample of beneficiaries with 25 544 650 patient-years, 8 395 426 hospital admissions, and 1 595 352 stays in skilled nursing facilities (SNFs) from January 1, 2009, to December 31, 2014, difference-in-difference comparisons of beneficiaries served by ACOs with beneficiaries served by local non-ACO health care professionals (control group) were performed before vs after entry into the MSSP. Differential changes were estimated separately for cohorts of ACOs entering the MSSP in 2012, 2013, and 2014.ExposuresPatient attribution to an ACO in the MSSP.Main outcomes and measuresPostacute spending, discharge to a facility, length of SNF stays, readmissions, use of highly rated SNFs, and mortality, adjusted for patient characteristics.ResultsFor the 2012 cohort of 114 ACOs, participation in the MSSP was associated with an overall reduction in postacute spending (differential change in 2014 for ACOs vs control group, -$106 per beneficiary [95% CI, -$176 to -$35], or -9.0% of the precontract unadjusted mean of $1172; P = .003) that was driven by differential reductions in acute inpatient care, discharges to facilities rather than home (-0.6 percentage points [95% CI, -1.1 to 0.0], or -2.7% of the unadjusted precontract mean of 22.6%; P = .03), and length of SNF stays (-0.60 days per stay [95% CI, -0.99 to -0.22], or -2.2% of the precontract unadjusted mean of 27.07 days; P = .002). Reductions in use of SNFs and length of stay were largely due to within-hospital or within-SNF changes in care specifically for ACO patients. Participation in the MSSP was associated with smaller significant reductions in SNF spending in 2014 for the 2013 ACO cohort (-$27 per beneficiary [95% CI, -$49 to -$6], or -3.3% of the precontract unadjusted mean of $813; P = .01) but not in the 2013 or 2014 cohort's first year of participation (-$13 per beneficiary [95% CI, -$33 to $6]; P = .19; and $4 per beneficiary [95% CI, -$15 to $24]; P = .66). Estimates were similar for ACOs with and without financial ties to hospitals. Participation in the MSSP was not associated with significant changes in 30-day readmissions, use of highly rated SNFs, or mortality.Conclusions and relevanceParticipation in the MSSP has been associated with significant reductions in postacute spending without ostensible deterioration in quality of care. Spending reductions were more consistent with clinicians working within hospitals and SNFs to influence care for ACO patients than with hospital-wide initiatives by ACOs or use of preferred SNFs.
Project description:ImportanceReducing Medicare expenditures is a key objective of Medicare's transition to value-based reimbursement models. Improving access to primary care is an important way to reduce expenditures, yet less is known about how visits should be organized to maximize savings.ObjectiveTo examine the association between Medicare savings and primary care visit patterns.Design, setting, and participantsThis retrospective cohort study used data from a 5% sample of traditional Medicare claims from 2016 to 2019. Participants had at least 3 primary care visits with at least 180 days between the first and the last visit, were not enrolled in Medicare Advantage, did not have end-stage kidney disease, and were not institutionalized. Data were analyzed from June 2022 to April 2023.ExposuresPrimary care visit patterns: visit frequency, regularity, continuity of care.Main outcomes and measuresSavings in Medicare expenditures; risk-adjusted Medicare expenditures, number of emergency department (ED) visits, and hospitalizations.ResultsAmong 504 471 beneficiaries (298 422 [59.16%] women; mean [SD] age, 74.26 [10.41] years), temporally regular visits with higher continuity were associated with the highest savings. For these patients, the savings increased with increasing visit frequencies, with peak savings observed at higher visit frequencies as clinical complexity increased. As regularity and continuity decreased, the association between savings and visit frequencies progressively inverted. The group with a regular and highly continuous pattern was associated with greater savings (175.87%; 95% CI, 167.40% to 184.33%; P < .001), lower risk-adjusted expenditures (-16.61%; 95% CI, -16.73% to -16.48%; P < .001), fewer risk-adjusted ED visits (-40.49%; 95% CI, -40.55% to -40.43%; P < .001), and fewer risk-adjusted hospitalizations (-53.32%; 95% CI, -53.49% to -53.14%; P < .001) compared with the irregular noncontinuous group.Conclusions and relevanceIn this cohort study, savings in Medicare expenditures and improvements in acute care utilization were associated with visit frequency, regularity, and continuity in primary care in an interrelated fashion such that optimization of primary care visit patterns along each axis were associated with the largest improvement in outcomes. Demonstrating the magnitude and interdependence of these associations is useful for health care professionals and policymakers as Medicare continues its transition to value-based reimbursement models.