Medicare Hospital Readmissions Research Articles

Medicare's Hospital Readmission Reduction Program reduced fall-related health care use: An unexpected benefit?

To assess whether Medicare's Hospital Readmissions Reduction Program (HRRP) was associated with a reduction in severe fall-related injuries (FRIs). Secondary data from Medicare were used. Using an event study design, among older (≥65) Medicare fee-for-service beneficiaries, we assessed changes in 30- and 90-day FRI readmissions before and after HRRP's announcement (April 2010) and implementation (October 2012) for conditions targeted by the HRRP (acute myocardial infarction [AMI], congestive heart failure [CHF], and pneumonia) versus "non-targeted" (gastrointestinal) conditions. We tested for modification by hospitals with "high-risk" before HRRP and accounted for potential upcoding. We also explored changes in 30-day FRI readmissions involving emergency department (ED) or outpatient care, care processes (length of stay, discharge destination, and primary care visit), and patient selection (age and comorbidities). Not applicable. We identified 1.5 million (522,596 pre-HRRP, 514,844 announcement, and 474,029 implementation period) index discharges. After its announcement, HRRP was associated with 12%-20% reductions in 30- and 90-day FRI readmissions for patients with CHF (-0.42 percentage points [ppt], p = 0.02; -1.53 ppt, p < 0.001) and AMI (-0.35, p = 0.047; -0.97, p = 0.001). Two years after implementation, HRRP was associated with reductions in 90-day FRI readmission for AMI (-1.27 ppt, p = 0.01) and CHF (-0.98 ppt, p = 0.02) patients. Results were similar for hospitals at higher versus lower baseline risk of FRI readmission. After HRRP's announcement, decreases were observed in home health (AMI: -2.43 ppt, p < 0.001; CHF: -8.83 ppt, p < 0.001; pneumonia: -1.97 ppt, p < 0.001) and skilled nursing facility referrals (AMI: -5.95 ppt, p < 0.001; CHF: -3.19 ppt, p < 0.001; pneumonia: -10.27 ppt, p < 0.001). HRRP was associated with reductions in FRIs, primarily for HF and pneumonia patients. These decreases may reflect improvements in transitional care including changes in post-acute referral patterns that benefit patients at risk for falls.

RWD148 A Comparative Evaluation of Medicare's Hospital Readmissions Reduction Program (HRRP) Effectiveness between New York State and the Nation

To compare and analyze the available HRRP 30-day inpatient readmissions data (2014-2019) longitudinally between NYS hospitals and the rest of the country and evaluate NYS hospital performance relative to six HRRP targeted health measures.

RWD114 Is Medicare's Hospital Readmissions Reduction Program (HRRP) Delivering on the Decade's Promise?: A Trend Analysis

To analyze nationwide trends in hospitalization for six targeted CMS health measures under HRRP and evaluate the program’s success with respect to reduction of preventable readmissions.

Association of Insurance Type with Inpatient Surgical 30-day Readmissions, Emergency Department Visits/Observation Stays, and Costs.

To assess the association of Private, Medicare, and Medicaid/Uninsured insurance type with 30-day Emergency Department visits/Observation Stays (EDOS), readmissions, and costs in a safety-net hospital (SNH) serving diverse socioeconomic status patients. Medicare's Hospital Readmission Reduction Program (HRRP) disproportionately penalizes SNHs. This retrospective cohort study used inpatient National Surgical Quality Improvement Program (2013-2019) data merged with cost data. Frailty, expanded Operative Stress Score, case status, and insurance type were used to predict odds of EDOS and readmissions, as well as index hospitalization costs. The cohort had 1,477 Private; 1,164 Medicare; and 3,488 Medicaid/Uninsured cases with a patient mean age 52.1 years [SD=14.7] and 46.8% of the cases were performed on male patients. Medicaid/Uninsured (aOR=2.69, CI=2.38-3.05, P<.001) and Medicare (aOR=1.32, CI=1.11-1.56, P=.001) had increased odds of urgent/emergent surgeries and complications versus Private patients. Despite having similar frailty distributions, Medicaid/Uninsured compared to Private patients had higher odds of EDOS (aOR=1.71, CI=1.39-2.11, P<.001), and readmissions (aOR=1.35, CI=1.11-1.65, P=.004), after adjusting for frailty, OSS, and case status, while Medicare patients had similar odds of EDOS and readmissions versus Private. Hospitalization variable cost %change was increased for Medicare (12.5%) and Medicaid/Uninsured (5.9%), but Medicaid/Uninsured was similar to Private after adjusting for urgent/emergent cases. Increased rates and odds of urgent/emergent cases in Medicaid/Uninsured patients drive increased odds of complications and index hospitalization costs versus Private. SNHs care for higher cost populations while receiving lower reimbursements and are further penalized by the unintended consequences of HRRP. Increasing access to care, especially for Medicaid/Uninsured patients, could reduce urgent/emergent surgeries resulting in fewer complications, EDOS/readmissions, and costs.

Meds to Beds at Hospital Discharge Improves Medication Adherence and Readmission Rates in Select Populations.

Medication nonadherence caused by difficulty obtaining and paying for medicines can increase hospital readmissions. This project implemented Medications to Beds ("Meds to Beds," M2B), a multidisciplinary predischarge medication delivery program, at a large urban academic hospital that provided subsidized medications for uninsured and underinsured patients to reduce readmissions. This 1-year retrospective analysis of patients discharged from the hospitalist service after implementing M2B contained two groups: one with subsidized medications (M2B-S) and one with unsubsidized medications (M2B-U). Primary analysis was 30-day readmission rates for patients, stratified by Charlson Comorbidity indexes (CCIs) of 0, 1-3, ≥4 to represent low, medium, and high comorbidity burden. Secondary analysis included readmission rates by Medicare Hospital Readmission Reduction Program diagnoses. Compared with controls, the M2B-S and M2B-U programs had significantly reduced readmission rates among patients with CCIs of 0 (10.5% [controls] vs 9.4% [M2B-U] and 5.1% [M2B-S], P < 0.05). A nonsignificant reduction occurred in readmissions for patients with CCIs ≥4 (20.4% [controls] vs 19.4% [M2B-U] vs 14.7% [M2B-S], P < 0.07). Patients with CCIs of 1 to 3 showed a significant increase in readmission rates in the M2B-U, but a decrease in readmission rates among the M2B-S (15.4% [controls] vs 20% [M2B-U] vs 13.1% [M2B-S], P < 0.05). Secondary analyses found no significant differences in readmission rates when patients were stratified by Medicare Hospital Readmission Reduction Program diagnosis. Cost analyses demonstrated that subsidizing medicines cost less per patient for every 1% readmission reduction than delivery alone. Providing medicine to patients predischarge tends to lower readmission rates for populations with no comorbidities or with a high burden of disease. This effect is amplified when prescription costs are subsidized.

Medicare's hospital readmissions reduction program and the rise in observation stays.

To evaluate whether Medicare's Hospital Readmissions Reduction Program (HRRP) is associated with increased observation stay use. A nationally representative sample of fee-for-service Medicare claims, January 2009-September 2016. Using a difference-in-difference (DID) design, we modeled changes in observation stays as a proportion of total hospitalizations, separately comparing the initial (acute myocardial infarction, pneumonia, heart failure) and subsequent (chronic obstructive pulmonary disease) target conditions with a control group of nontarget conditions. Each model used 3 time periods: baseline (15 months before program announcement), an intervening period between announcement and implementation, and a 2-year post-implementation period, with specific dates defined by HRRP policies. We derived a 20% random sample of all hospitalizations for beneficiaries continuously enrolled for 12 months before hospitalization (N=7,162,189). Observation stays increased similarly for the initial HRRP target and nontarget conditions in the intervening period (0.01% points per month [95% CI -0.01, 0.3]). Post-implementation, observation stays increased significantly more for target versus nontarget conditions, but the difference is quite small (0.02% points per month [95% CI 0.002, 0.04]). Results for the COPD analysis were statistically insignificant in both policy periods. The increase in observation stays is likely due to other factors, including audit activity and clinical advances.

Accounting for the Growth of Observation Stays in the Assessment of Medicare’s Hospital Readmissions Reduction Program

Decreases in 30-day readmissions following the implementation of the Medicare Hospital Readmissions Reduction Program (HRRP) have occurred against the backdrop of increasing hospital observation stay use, yet observation stays are not captured in readmission measures. To examine whether the HRRP was associated with decreases in 30-day readmissions after accounting for observation stays. This retrospective cohort study included a 20% sample of inpatient admissions and observation stays among Medicare fee-for-service beneficiaries from January 1, 2009, to December 31, 2015. Data analysis was performed from November 2021 to June 2022. A differences-in-differences analysis assessed changes in 30-day readmissions after the announcement of the HRRP and implementation of penalties for target conditions (heart failure, acute myocardial infarction, and pneumonia) vs nontarget conditions under scenarios that excluded and included observation stays. Thirty-day inpatient admissions and observation stays. The study included 8 944 295 hospitalizations (mean [SD] age, 78.7 [8.2] years; 58.6% were female; 1.3% Asian; 10.0% Black; 2.0% Hispanic; 0.5% North American Native; 85.0% White; and 1.2% other or unknown). Observation stays increased from 2.3% to 4.4% (91.3% relative increase) of index hospitalizations among target conditions and 14.1% to 21.3% (51.1% relative increase) of index hospitalizations for nontarget conditions. Readmission rates decreased significantly after the announcement of the HRRP and returned to baseline by the time penalties were implemented for both target and nontarget conditions regardless of whether observation stays were included. When only inpatient hospitalizations were counted, decreasing readmissions accrued into a -1.48 percentage point (95% CI, -1.65 to -1.31 percentage points) absolute reduction in readmission rates by the postpenalty period for target conditions and -1.13 percentage point (95% CI, -1.30 to -0.96 percentage points) absolute reduction in readmission rates by the postpenalty period for nontarget conditions. This reduction corresponded to a statistically significant differential change of -0.35 percentage points (95% CI, -0.59 to -0.11 percentage points). Accounting for observation stays more than halved the absolute decrease in readmission rates for target conditions (-0.66 percentage points; 95% CI, -0.83 to -0.49 percentage points). Nontarget conditions showed an overall greater decrease during the same period (-0.76 percentage points; 95% CI, -0.92 to -0.59 percentage points), corresponding to a differential change in readmission rates of 0.10 percentage points (95% CI, -0.14 to 0.33 percentage points) that was not statistically significant. The findings of this study suggest that the reduction of readmissions associated with the implementation of the HRRP was smaller than originally reported. More than half of the decrease in readmissions for target conditions appears to be attributable to the reclassification of inpatient admission to observation stays.

A Decade of Observing the Hospital Readmission Reductions Program—Time to Retire an Ineffective Policy

Original Investigation Accounting for Observation Stays in the Medicare Hospital Readmissions Reduction Program Amber K. Sabbatini, MD, MPH; Karen E. Joynt-Maddox, MD, MPH; Joshua M. Liao, MD, MSc; Anirban Basu, PhD; Canada Parrish, PhD, MSPH; William Kreuter, MPA; Brad Wright, PhD

Measuring health disparities using a continuous social risk factor.

To propose and evaluate a novel approach for measuring hospital-level disparities according to the effect of a continuous, polysocial risk factor on those outcomes. Our cohort consisted of Medicare Fee-for-Service (FFS) patients 65 years and older admitted to acute care hospitals for one of six common conditions or procedures. Medicare administrative claims data for six hospital readmission measures including hospitalizations from July 2015 to June 2018 were used. We adapted existing methodologies that were developed to report hospital-level disparities using dichotomous social risk factors (SRFs). The existing methods report disparities within and across hospitals; we developed and tested modified approaches for both methods using the Agency for Healthcare Research and Quality Socioeconomic Status Index. We applied the adapted methodologies to six 30-day hospital readmission measures included in the Centers for Medicare & Medicaid Services Hospital Readmissions Reduction Program measures. We compared the within- and across-hospital results for each to those obtained from using the original methods and dichotomizing the AHRQ SES Index into "low" and "high" scores. We used Medicare FFS administrative claims data linked to U.S. Census data. For all six readmission measures we find that, when compared with the existing methods, the methods for continuous SRFs provide disparity results for more facilities though across a narrower range of values. Measures of disparity based on this approach are moderately to highly correlated with those based on a dichotomous version of the same risk factor, while reflecting a fuller spectrum of risk. This approach represents an opportunity for detection of provider-level results that more closely align with underlying social risk. We have demonstrated the feasibility and utility of estimating hospital disparities of care using a continuous, polysocial risk factor. This approach expands the potential for reporting hospital-level disparities while better accounting for the multifactorial nature of social risk on hospital outcomes.

Social Risk Adjustment In The Hospital Readmissions Reduction Program: A Systematic Review And Implications For Policy.

Value-based payment programs adjust payments to providers based on spending, quality, or health outcomes. Concern that these programs penalize providers disproportionately serving vulnerable patients prompted calls to adjust performance measures for social risk factors. We reviewed fourteen studies of social risk adjustment in Medicare's Hospital Readmissions Reduction Program (HRRP), a value-based payment model that initially did not adjust for social risk factors but subsequently began to do so. Seven studies found that adding social risk factors to the program's base risk-adjustment model (which adjusts only for age, sex, and comorbidities) reduced differences in risk-adjusted readmissions and penalties between safety-net hospitals and other hospitals. Three studies found that peer grouping, the HRRP's current approach to social risk adjustment, reduced penalties among safety-net hospitals. Two studies found that differences in risk-adjusted readmissions and penalties were further narrowed when augmentation of the base model was combined with peer grouping. Two studies showed that it is possible to adjust for social risk factors without obscuring quality differences between hospitals. These findings support the use of social risk adjustment to improve provider payment equity and highlight opportunities to enhance social risk adjustment in value-based payment programs.

Impact of Reengineered Discharge Toolkit on Patients Undergoing Total Joint Surgeries.

Poorly coordinated care transitions account for nearly one fifth of Medicare hospital readmissions within 30 days postdischarge. The primary aim of this pilot project was to determine the impact of the Reengineered Discharge (RED) Toolkit on patient knowledge for self-management, satisfaction with the discharge process, readiness for discharge, discharge time, and 30-day readmission rate following hip or knee joint replacement or revision surgeries. Staff adherence with the RED Toolkit was also measured.Thirty adult patients received the intervention of the RED Toolkit. Patient knowledge for self-management ranged from 85.2% to 92.6%; satisfaction with the discharge process scores increased from 33% to 59.2%; patient readiness for discharge scores increased from 2% to 64%. Discharge times decreased. On average, patients left the unit 5.67 (±2.52) hours after the written discharge order. The all-cause 30-day readmission rate was reduced to 3.3%. Staff achieved a RED Toolkit adherence rate of 86.8%. Findings provide a basis for developing a coordinated discharge planning process.

Social risk adjustment in the hospital readmission reduction program: Pitfalls of peer grouping, measurement challenges, and potential solutions.

To examine the limitations of peer grouping and associated challenges measuring social risk in Medicare's Hospital Readmission Reduction Program (HRRP). Under peer grouping, hospitals are divided into quintiles based on the proportion of a hospital's Medicare inpatients with Medicaid ("dual share"). This approach was implemented to address concerns that the HRRP unfairly penalized hospitals that disproportionately serve disadvantaged patients. Public data on hospitals in the HRRP. We examined the relationship between hospital dual share and readmission rates within peer groups; changes in hospitals' peer group assignments, readmission rates, and penalties; and the relationship between state Medicaid eligibility rules and peer groups. Public data on hospital characteristics and readmission rates for 3119 hospitals from 2019 to 2020. The proportion of dual inpatients among hospitals of the same peer group varied by as much as 69 percentage points (ppt). Within peer groups, a one ppt increase in dual share was associated with a 0.01 ppt increase in the difference from the median readmission rate (p< 0.001). From 2019 to 2020, 8.8% of hospitals switched peer groups. Compared to hospitals that did not switch, those moving to a lower peer group had a higher mean penalty in 2020 (0.096 ppt; p=0.006); those moving to a higher group had a lower mean penalty (-0.06 ppt; p=0.079). However, changes in penalties did not correspond to changes in readmission rates. Hospitals in states with higher Medicaid income eligibility limits were more likely to be in higher peer groups. Peer grouping is limited in the extent to which it accounts for differences in hospitals' patient populations, and it may not fully insulate hospitals from penalties linked to changes in patient mix. These problems arise from the construction of peer groups and the measure of social risk used to define them.

The Impact of Social Determinants of Health on 30 and 90-Day Readmission Rates After Spine Surgery.

Since its 2012 inception, the U.S. Centers for Medicare & Medicaid Services Hospital Readmissions Reduction Program (HRRP) has espoused cost-effective health-care delivery by financially penalizing hospitals with excessive 30-day readmission rates. In this study, we hypothesized that socioeconomic factors impact readmission rates of patients undergoing spine surgery. In this study, 2,830 patients who underwent a spine surgical procedure between 2012 and 2018 were identified retrospectively from our institutional database, with readmission (postoperative day [POD] 0 to 30 and POD 31 to 90) as the outcome of interest. Patients were linked to U.S. Census Tracts and ZIP codes using the Geographic Information Systems (ArcGIS) mapping program. Social determinants of health (SDOH) were obtained from publicly available databases. Patient income was estimated at the Public Use Microdata Area level based on U.S. Census Bureau American Community Survey data. Univariate and multivariable stepwise regression analyses were conducted. Significance was defined as p < 0.05, with Bonferroni corrections as appropriate. Race had a significant effect on readmission only among patients whose estimated incomes were <$31,650 (χ2 = 13.4, p < 0.001). Based on a multivariable stepwise regression, patients with estimated incomes of <$31,000 experienced greater odds of readmission by POD 30 compared with patients with incomes of >$62,000; the odds ratio (OR) was 11.06 (95% confidence interval [CI], 6.35 to 15.57). There were higher odds of 30-day readmission for patients living in neighborhoods with higher diabetes prevalence (OR, 3.02 [95% CI, 1.60 to 5.49]) and patients living in neighborhoods with limited access to primary care providers (OR, 1.39 [95% CI, 1.10 to 1.70]). Lastly, each decile increase in the Area Deprivation Index of a patient's Census Tract was associated with higher odds of 30-day readmission (OR, 1.40 [95% CI, 1.30 to 1.51]). Socioeconomically disadvantaged patients and patients from areas of high social deprivation have a higher risk of readmission following a spine surgical procedure. Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Three-Year Impact Of Stratification In The Medicare Hospital Readmissions Reduction Program.

The Medicare Hospital Readmissions Reduction Program (HRRP) financially penalizes hospitals with high readmission rates. In fiscal year 2019 the program was changed to account for the association between social risk and high readmission rates. The new approach stratifies hospitals into five groups by hospitals' proportion of patients dually enrolled in Medicare and Medicaid, and it evaluates performance within each stratum instead of within the national cohort. Its impact on hospitals caring for vulnerable populations has not been studied. We calculated the change in average annual penalty percentage, before and after stratification, for safety-net hospitals, rural hospitals, and hospitals caring for a high share of Black and Hispanic or Latino patients. We found that stratification by proportion of dual enrollees was associated with a decrease in penalties by -0.09percentage points at hospitals with the highest proportion of dual enrollees, -0.08percentage points at rural hospitals, and -0.06percentage points at hospitals with a large share of Black and Hispanic or Latino patients. Fully adjusted analyses suggest that these patterns were driven by penalty reductions at rural hospitals and hospitals disproportionately serving Black and Hispanic or Latino patients. Given the allocation of fewer penalties to these hospitals, we conclude that the stratification mandate was a modest step toward equity within the HRRP.

Impact of Acute Self-Care Indicators and Social Factors on Medicare Inpatient Readmission Risk.

Readmissions are costly for Medicare and are associated with poor patient outcomes. To determine whether two domains relevant to acute occupational therapy practice-self-care status and social factors-were associated with readmissions for Medicare patients in the Medicare Hospital Readmissions Reduction Program (HRRP). Cross-sectional, retrospective study. Single academic medical center. Medicare inpatients with a diagnosis included in the HRRP (N = 17,618). Outcomes and Measures: Three logistic regression models were estimated to examine the associations among (1) self-care status and 30-day readmission, (2) social support and 30-day readmission, and (3) housing situation and 30-day readmission. Subgroup analyses were conducted for the individual HRRP diagnoses. No associations were found between acute self-care status, social support, or housing situation and 30-day readmission when all HRRP diagnoses were examined together. However, higher levels of independence with self-care were significantly associated with reduced odds of readmission for patients with pneumonia. The findings for patients with pneumonia are consistent with those of other studies done in the acute care setting. Deficiencies in acute occupational therapy documentation may have affected the findings for the other HRRP diagnoses. What This Article Adds: This study is the first to examine the association between acute self-care status (as documented by acute care occupational therapy practitioners) and readmission.

Luck of the draw: Role of chance in the assignment of medicare readmissions penalties.

Pay-for-performance programs are one strategy used by health plans to improve the efficiency and quality of care delivered to beneficiaries. Under such programs, providers are often compared against their peers in order to win bonuses or face penalties in payment. Yet luck has the potential to affect performance assessment through randomness in the sorting of patients among providers or through random events during the evaluation period. To investigate the impact luck can have on the assessment of performance, we investigated its role in assigning penalties under Medicare's Hospital Readmissions Reduction Policy (HRRP), a program that penalizes hospitals with excess readmissions. We performed simulations that estimated program hospitals' 2015 readmission penalties in 1,000 different hypothetical fiscal years. These hypothetical fiscal years were created by: (a) randomly varying which patients were admitted to each hospital and (b) randomly varying the readmission status of discharged patients. We found significant differences in penalty sizes and probability of penalty across hypothetical fiscal years, signifying the importance of luck in readmission performance under the HRRP. Nearly all of the impact from luck arose from events occurring after hospital discharge. Luck played a smaller role in determining penalties for hospitals with more beds, teaching hospitals, and safety-net hospitals.

Patient Post-discharge Transitions and Inpatient Readmissions Impose Costly Burdens for Employers and Carriers.

Although the Centers for Medicare & Medicaid Services has focused on Medicare hospital readmissions for select diagnoses through the Hospital Readmissions Reduction program, there is no similar initiative for employers, who account for the majority of the 48% of private health care spending in the United States. Readmissions are costly and it is estimated that as many as half of these may be preventable. This study analyzes a national claims database to understand post-discharge transitions and their cost in the working population. Within an employer-sponsored, commercially-insured population, this study found that 4% of members are hospitalized annually and drive 37% of population health care cost. Of these members, 17% undergo additional admissions in the year following discharge and drive approximately 67% of the cost of the admitted population. This study found that the post-discharge site of care transitions has significant implications for the cumulative cost of care. More than a third of patients discharged home will transition to higher cost settings over the course of a year. Mental health and substance abuse diagnoses add significantly to admission/readmission rates and costs. Prior research indicates that post-discharge interventions that activate and engage patients in self-management are beneficial in mitigating overall cost and readmissions.

Social Determinants Matter For Hospital Readmission Policy: Insights From New York City.

This study assessed the impact of individual social risk factor variables and social determinants of health (SDOH) measures on hospital readmission rates and penalties used in the Centers for Medicare and Medicaid Services (CMS) Hospital Readmissions Reduction Program (HRRP). Using 2012-16 hospital discharge data from New York City, we projected HRRP penalties by augmenting CMS's readmission model for heart attack, heart failure, and pneumonia with SDOH scores constructed at each of four geographic levels and a measure of individual-level social risk. Including additional SDOH scores in the model, especially those constructed with the most granular geographic data, along with social risk factor variables substantially affects projected penalties for hospitals treating the highest proportion of patients with high SDOH scores. Improved performance occurred even after we included peer-group stratification in the HRRP model pursuant to the 21st Century Cures Act. Small improvements in model accuracy were associated with substantial shifts in projected performance. Our results suggest that CMS's continued omission of relevant patient and geographic data from the HRRP readmission model misallocates penalties attributable to SDOH and social risk factor effects to hospitals with the largest share of high-risk patients.

Adverse Discharge Outcomes Associated With the Medicare Hospital Readmissions Reduction Program Among Commercially Insured Adults.

It is unknown if changes in the rate of discharges against medical advice (DAMA) are related to the implementation of the Medicare Hospital Readmissions Reduction Program (HRRP). We performed an interrupted time series analysis of monthly DAMA rates per 1,000 discharges of all enrolled individuals 18-64 years old with a hospitalization between January 1, 2006, and December 31, 2015, in a commercially insured population. We performed a segmented linear regression with two interruptions: (1) April 2010 to coincide with the passage of the HRRP and (2) October 2012 to coincide with the implementation of HRRP penalties. There were 1,087,812 discharges representing 668,823 individuals over 120 months. The downward trend in monthly DAMA rates was reversed significantly after April 2010 with a sustained 0.1 increase in the monthly rate that continued after the implementation of penalties in October 2012. Allowing for the two interruptions, there was a statistically significant positive trend (0.10; 0.06-0.13, p < .01) in April 2010. Relative to the first interruption, there was no statistically significant change in the slope in October 2012; the estimated slope was -0.04 (-0.08 to 0.002). Monthly DAMA rates increased in anticipation of and after HRRP implementation, suggesting a potential relationship between the HRRP and DAMA.

Improving the US hospital reimbursement: how patient satisfaction in HCAHPS reflects lower readmission

The purpose of this paper is to examine whether patient readmission rates are associated with patient satisfaction and Medicare reimbursement rates in the US hospitals. The Hospital Compare database was obtained from the Centers for Medicare and Medicaid Services (CMS) in the US. A total of 2,711 acute care hospitals were analyzed for this present study. The data included patient satisfaction surveys, hospital 30-days readmission ratios for heart failure and pneumonia patients and related payments. Exploratory factor analysis was applied in the first stage to operationalize constructs for scale development. Partial least squares (PLS) modeling analysis via Smart-PLS was utilized for testing the hypotheses. Results indicated that data provided from the Hospital Compare database for the acute care hospitals accurately reflect quality outcomes. Nevertheless, the Medicare Hospital Readmissions Reduction Program (HRRP) did not penalize the hospitals when patients reported lower satisfaction via the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores. The findings suggest that a high-readmission rate is not associated with lower payment. Such results appear to conflict with the goals of value-based purchasing programs, which seek to penalize hospitals financially for higher readmission rates.