Excess Readmission-Based Penalty: Is Arthroplasty Different From the Other Outcomes?
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ABSTRACT:
SUBMITTER: Manickam RN
PROVIDER: S-EPMC6441352 | biostudies-literature | Winter 2018
REPOSITORIES: biostudies-literature
Publications
Excess Readmission-Based Penalty: Is Arthroplasty Different From the Other Outcomes?
Manickam Raj N RN Memtsoudis Stavros G SG Mu Yi Y Kim Jeehyoung J Kshirsagar Abhijit V AV Bang Heejung H
Journal of surgical orthopaedic advances 20180101 4
Whether factors not under a hospital's control affect readmissions remains intensely debated in the context of the Centers for Medicare & Medicaid Services' Hospital Readmission Reduction Program. This study aimed to evaluate the potential effects of poverty, race, and hospital volume on excess readmissions, with >3000 hospitals participating in "Hospital Compare." Correlations between excess readmission ratios for five eligible outcomes (including hip and knee arthroplasty) were assessed with t ...[more]
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Project description:BACKGROUND:The Hospital Readmission Reduction Program (HRRP) penalizes hospitals with "excess" readmissions up to 3% of Medicare reimbursement. Approximately 75% of eligible hospitals received penalties, worth an estimated $428 million, in fiscal year 2015. OBJECTIVE:To identify demographic and socioeconomic disparities between matched and localized maximum-penalty and no-penalty hospitals. DESIGN:A case-control study in which cases included were hospitals to receive the maximum 3% penalty under the HRRP during the 2015 fiscal year. Controls were drawn from no-penalty hospitals and matched to cases by hospital characteristics (primary analysis) or geographic proximity (secondary analysis). SETTING:A selectiion of 3383 US hospitals eligible for HRRP. PARTICIPANTS:Thirty-nine case and 39 control hospitals from the HRRP cohort. MEASUREMENTS:Socioeconomic status variables were collected by the American Community Survey. Hospital and health system characteristics were drawn from Centers for Medicare and Medicaid Services, American Hospital Association, and Dartmouth Atlas of Health Care. The statistical analysis was conducted using Student t tests. RESULTS:Thirty-nine hospitals received a maximum penalty. Relative to controls, maximum-penalty hospitals in counties with lower SES profiles are defined by increased poverty rates (19.1% vs 15.5%, ? = 0.015) and lower rates of high school graduation (82.2% vs 87.5%, ? = 0.001). County level age, sex, and ethnicity distributions were similar between cohorts. CONCLUSIONS:Cases were more likely than controls to be in counties with low socioeconomic status; highlighting potential unintended consequences of national benchmarks for phenomena underpinned by environmental factors; specifically, whether maximum penalties under the HRRP are a consequence of underperforming hospitals or a manifestation of underserved communities.
| S-EPMC6091554 | biostudies-literature
Project description:Readmission rates declined after announcement of the Hospital Readmission Reduction Program (HRRP), which penalizes hospitals for excess readmissions for acute myocardial infarction (AMI), heart failure (HF), and pneumonia.To compare trends in readmission rates for target and nontarget conditions, stratified by hospital penalty status.Retrospective cohort study of Medicare fee-for-service beneficiaries older than 64 years discharged between January 1, 2008, and June 30, 2015, from 2214 penalty hospitals and 1283 nonpenalty hospitals. Difference-interrupted time-series models were used to compare trends in readmission rates by condition and penalty status.Hospital penalty status or target condition under the HRRP.Thirty-day risk adjusted, all-cause unplanned readmission rates for target and nontarget conditions.The study included 48?137?102 hospitalizations of 20?351?161 Medicare beneficiaries. In January 2008, the mean readmission rates for AMI, HF, pneumonia, and nontarget conditions were 21.9%, 27.5%, 20.1%, and 18.4%, respectively, at hospitals later subject to financial penalties and 18.7%, 24.2%, 17.4%, and 15.7% at hospitals not subject to penalties. Between January 2008 and March 2010, prior to HRRP announcement, readmission rates were stable across hospitals (except AMI at nonpenalty hospitals). Following announcement of HRRP (March 2010), readmission rates for both target and nontarget conditions declined significantly faster for patients at hospitals later subject to financial penalties compared with those at nonpenalized hospitals (for AMI, additional decrease of -1.24 [95% CI, -1.84 to -0.65] percentage points per year relative to nonpenalty discharges; for HF, -1.25 [95% CI, -1.64 to -0.86]; for pneumonia, -1.37 [95% CI, -1.80 to -0.95]; and for nontarget conditions, -0.27 [95% CI, -0.38 to -0.17]; P?<?.001 for all). For penalty hospitals, readmission rates for target conditions declined significantly faster compared with nontarget conditions (for AMI, additional decline of -0.49 [95% CI, -0.81 to -0.16] percentage points per year relative to nontarget conditions [P?=?.004]; for HF, -0.90 [95% CI, -1.18 to -0.62; P?<?.001]; and for pneumonia, -0.57 [95% CI, -0.92 to -0.23; P?<?.001]). In contrast, among nonpenalty hospitals, readmissions for target conditions declined similarly or more slowly compared with nontarget conditions (for AMI, additional increase of 0.48 [95% CI, 0.01-0.95] percentage points per year [P?=?.05]; for HF, 0.08 [95% CI, -0.30 to 0.46; P?=?.67]; for pneumonia, 0.53 [95% CI, 0.13-0.93; P?=?.01]). After HRRP implementation in October 2012, the rate of change for readmission rates plateaued (P?<?.05 for all except pneumonia at nonpenalty hospitals), with the greatest relative change observed among hospitals subject to financial penalty.Medicare fee-for-service patients at hospitals subject to penalties under the HRRP had greater reductions in readmission rates compared with those at nonpenalized hospitals. Changes were greater for target vs nontarget conditions for patients at the penalized hospitals but not at the other hospitals.
| S-EPMC5599851 | biostudies-literature
Project description:BackgroundAn increase in the aging yet active US population will continue to make total knee arthroplasty (TKA) procedures routine in the coming decades. For such joint procedures, the Centers for Medicare and Medicaid Services introduced programs such as the Comprehensive Care for Joint Replacement to emphasize accountable and efficient transitions of care. Accordingly, many studies have proposed models using risk factors for predicting readmissions after the procedure. We performed a systematic review of TKA literature to identify such models and risk factors therein using a reliable appraisal tool for their quality assessment.MethodsFive databases were searched to identify studies that examined correlations between post-TKA readmission and risk factors using multivariate models. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis methodology and Transparent Reporting of a multivariate prediction model for Individual Prognosis Or Diagnosis criteria established for quality assessment of prognostic studies.ResultsOf 29 models in the final selection, 6 models reported performance using a C-statistic, ranging from 0.51 to 0.76, and 2 studies used a validation cohort for assessment. The average 30-day and 90-day readmission rates across the studies were 5.33% and 7.12%, respectively. Three new significant risk factors were discovered.ConclusionsCurrent models for TKA readmissions lack in performance measurement and reporting when assessed with established criteria. In addition to using new techniques for better performance, work is needed to build models that follow the systematic process of calibration, external validation, and reporting for pursuing their deployment in clinical settings.
| S-EPMC7303919 | biostudies-literature
Project description:BackgroundTotal knee arthroplasty is a commonly performed procedure and an important contributor to national health care spending. Reducing the incidence of readmission could have important consequences for patient well-being and relevant financial implications. Whether regional anesthesia techniques are associated with decreased readmission rates and costs among privately insured patients remains unknown.MethodsUsing administrative claims data, we identified 138,362 privately insured patients 18-64 years of age who underwent total knee arthroplasty between 2002 and 2013. We then examined whether the use of a nerve block was associated with decreases in readmission rates and related costs during the 90 days after discharge. Our analyses were adjusted for potential confounding variables including medical comorbidities and previous use of opioids and other medications.ResultsAfter adjusting for patient demographics, comorbidities, and preoperative medication use, the adjusted 90-day readmission rate was 1.8% (95% confidence interval [CI], 1.1-2.4) among patients who did not receive a block compared to 1.7% (95% CI, 1.1-2.4) among patients who did (odds ratio, 0.99; 95% CI, 0.91-1.09; P = .85). The adjusted readmission-related postoperative cost for patients who did not receive a block was $561 (95% CI, 502-619) and $574 (95% CI, 508-639) for patients who did (difference, $13; 95% CI, -75 to 102; P = .74). This lack of statistically significant differences held for subgroup and sensitivity analyses.ConclusionsNerve blocks were not associated with improved measures of long-term postoperative resource use in this younger, privately insured study population.
| S-EPMC6605076 | biostudies-literature
Project description:BackgroundThe Comprehensive Care for Joint Replacement bundle was created to decrease total knee arthroplasty (TKA) cost. To help accomplish this, there is a focus on reducing TKA readmissions. However, there is a lack of national representative sample of all-payer hospital admissions to direct strategy, identify risk factors for readmission, and understand actual readmission cost.MethodsWe used the Nationwide Readmission Database to examine national readmission rates, predictors of readmission, and associated readmission costs for elective TKA procedures. We fit a multivariable logistic regression model to examine factors associated with readmission. Then, we determined mean readmission costs and calculated the readmission cost when distributed across the entire TKA population.ResultsWe identified 224,465 patients having TKA across all states participating in the Nationwide Readmission Database. The mean unadjusted 30-day TKA readmission rate was 4%. The greatest predictors of readmission were congestive heart failure (odds ratio [OR] 2.51, 95% confidence interval [CI] 2.62-2.80), renal disease (OR 2.19, 95% CI 2.03-2.37), and length of stay greater than 4 days (OR 2.4, 95% CI 2.25-2.61). The overall median cost for each readmission was $6753 ± 175. Extrapolating the readmission cost for the entire TKA population resulted in the readmission cost being 2% of the overall 30-day procedure cost.ConclusionsA major focus of the Comprehensive Care for Joint Replacement bundle is improving cost and quality by limiting readmission rates. TKA readmissions are low and comprise a small percentage of total TKA cost, suggesting that they may not be the optimal measure of quality care or a significant driver of overall cost.
| S-EPMC6103832 | biostudies-literature
Project description:ImportanceThe Hospital Readmissions Reduction Program publicly reports and financially penalizes hospitals according to 30-day risk-standardized readmission rates (RSRRs) exclusively among traditional Medicare (TM) beneficiaries but not persons with Medicare Advantage (MA) coverage. Exclusively reporting readmission rates for the TM population may not accurately reflect hospitals' readmission rates for older adults.ObjectiveTo examine how inclusion of MA patients in hospitals' performance is associated with readmission measures and eligibility for financial penalties.Design, setting, and participantsThis is a retrospective cohort study linking the Medicare Provider Analysis and Review file with the Healthcare Effectiveness Data and Information Set at 4070 US acute care hospitals admitting both TM and MA patients. Participants included patients admitted and discharged alive with a diagnosis of acute myocardial infarction (AMI), congestive heart failure (CHF), or pneumonia between 2011 and 2015. Data analyses were conducted between April 1, 2018, and November 20, 2020.ExposuresAdmission to an acute care hospital.Main outcomes and measuresThe outcome was readmission for any reason occurring within 30 days after discharge. Each hospital's 30-day RSRR was computed on the basis of TM, MA, and all patients and estimated changes in hospitals' performance and eligibility for financial penalties after including MA beneficiaries for calculating 30-day RSRRs.ResultsThere were 748 033 TM patients (mean [SD] age, 76.8 [83] years; 360 692 [48.2%] women) and 295 928 MA patients (mean [SD] age, 77.5 [7.9] years; 137 422 [46.4%] women) hospitalized and discharged alive for AMI; 1 327 551 TM patients (mean [SD] age, 81 [8.3] years; 735 855 [55.4%] women) and 457 341 MA patients (mean [SD] age, 79.8 [8.1] years; 243 503 [53.2%] women) for CHF; and 2 017 020 TM patients (mean [SD] age, 80.7 [8.5] years; 1 097 151 [54.4%] women) and 610 790 MA patients (mean [SD] age, 79.6 [8.2] years; 321 350 [52.6%] women) for pneumonia. The 30-day RSRRs for TM and MA patients were correlated (correlation coefficients, 0.31 for AMI, 0.40 for CHF, and 0.41 for pneumonia) and the TM-based RSRR systematically underestimated the RSRR for all Medicare patients for each condition. Of the 2820 hospitals with 25 or more admissions for at least 1 of the outcomes of AMI, CHF, and pneumonia, 635 (23%) had a change in their penalty status for at least 1 of these conditions after including MA data. Changes in hospital performance and penalty status with the inclusion of MA patients were greater for hospitals in the highest quartile of MA admissions.Conclusions and relevanceIn this cohort study, the inclusion of data from MA patients changed the penalty status of a substantial fraction of US hospitals for at least 1 of 3 reported conditions. This suggests that policy makers should consider including all hospital patients, regardless of insurance status, when assessing hospital quality measures.
| S-EPMC7890527 | biostudies-literature
Project description:To examine racial variations in access to postacute care (PAC) and rehabilitation (Rehab) services following elective total knee arthroplasty and whether where patients go after surgery for PAC/Rehab is associated with 30-day readmission to acute care facility.Sample consisted of 129 522 patients discharged from 169 hospitals in the State of Pennsylvania between fiscal years 2008 and 2012. We used multinomial regression models to assess the relationship between patient race and discharge destination after surgery, for patients aged 18 to 64 years and for those aged 65 and older. We used multivariable (MV) regression and propensity score (PS) approaches to examine the relationship between patient discharge destination after surgery for PAC/Rehab and 30-day readmission, controlling for key individual- and facility-level factors.Lower proportions of younger patients compared to those older than 65 were discharged to inpatient rehabilitation facilities (IRFs; 5.8% vs 12.6%, respectively) and skilled nursing facilities (SNFs; 15.2% vs 32.7%, respectively) compared to home-based Rehab (self-care; 23.3% vs 14.2%, respectively). Compared to whites, African American patients had significantly higher odds of discharge to IRF (age < 65, odds ratio = 2.04; age ≥ 65, odds ratio = 1.64) and to SNF (age < 65, odds ratio = 2.86; age ≥ 65, odds ratio = 2.19) and discharge to home care in patients younger than 65 years (odds ratio = 1.31). The odds of 30-day readmission among patients discharged to an IRF (MV odds ratio = 7.76; PS odds ratio = 8.34) and SNF (MV odds ratio = 2.01; PS odds ratio = 1.83) were significantly higher in comparison to patients discharged home with self-care.African American patients with knee replacement are more likely to be discharged to inpatient Rehab settings following surgery. Inpatient Rehab is significantly associated with 30-day readmission to acute care facility.
| S-EPMC4647199 | biostudies-other
Project description:PurposeStability in the sagittal plane, particularly regarding anterior cruciate ligament compensation, and postoperative functionality and satisfaction remain issues in total knee arthroplasty. Therefore, this prospective study compared the clinical outcomes between medial-pivot-based and posterior-stabilised total knee arthroplasty based on anterior translation and clinical scores.MethodsTo assess outcomes of total knee arthroplasty for varus osteoarthritis, the anterior translation distance of the tibia relative to the femur was measured at 30 and 60° of flexion using a KS measure Arthrometer at 6 months postoperatively. The 2011 Knee Society Score, Forgotten Joint Score, visual analogue scale for pain, and range of motion were assessed at 6 months and 1 year postoperatively. The correlations among each score, anterior translation distance, range of motion, and visual analogue scale score for pain were investigated.ResultsThe medial-pivot and posterior-stabilised groups comprised 70 and 51 patients, respectively. The medial-pivot group exhibited a significantly shorter anterior translation distance at 60° flexion than the posterior-stabilised group. Furthermore, the medial-pivot group achieved significantly better outcomes regarding the visual analogue scale for pain, 2011 Knee Society Score, and Forgotten Joint Score than the posterior-stabilised group. A significant negative correlation was observed between the anterior translation distance and the function score of the 2011 Knee Society Score, whereas a significant positive correlation was found between the anterior translation distance and flexion angle, and between the extension angle and score of the Forgotten Joint Score or 2011 Knee Society Score. Significant negative correlations were also found between the pain visual analogue scale and both the 2011 Knee Society Score and Forgotten Joint Score.ConclusionIn total knee arthroplasty for osteoarthritis, the medial-pivot group displayed a shorter anterior translation distance than the posterior-stabilised group at 6 months postoperatively. The visual analogue scale score for pain was also significantly lower in the medial-pivot group than that in the posterior-stabilised group at both 6 months and 1 year postoperatively. Because a correlation was observed between the anterior translation distance and the function score, medial-pivot-based total knee arthroplasty was considered to significantly improve postoperative function compared to posterior-stabilised total knee arthroplasty.
| S-EPMC9464619 | biostudies-literature
Project description:Background and purposeThere have recently been highly publicized examples of suboptimal outcomes with some newer implant designs used for total hip replacement. This has led to calls for tighter regulation. However, surgeons do not always adhere to the regulations already in place and often use implants from different manufacturers together to replace a hip, which is against the recommendations of the Medicines and Healthcare Products Regulatory Agency (MHRA) and the directions of the manufacturers.Patients and methodsWe used data from the National Joint Registry of England and Wales (NJR) to investigate this practice.ResultsMixing of components was common, and we identified over 90,000 cases recorded between 2003 and 2013. In the majority of these cases (48,156), stems and heads from one manufacturer were mixed with polyethylene cemented cups from another manufacturer. When using a cemented stem and a polyethylene cup, mixing of stems from one manufacturer with cups from another was associated with a lower revision rate. At 8 years, the cumulative percentage of revisions was 1.9% (95% CI: 1.7-2.1) in the mixed group as compared to 2.4% (2.3-2.5) in the matched group (p = 0.001). Mixing of heads from one manufacturer with stems from another was associated with a higher revision rate (p < 0.001). In hip replacements with ceramic-on-ceramic or metal-on-metal bearings, mixing of stems, heads, and cups from different manufacturers was associated with similar revision rates (p > 0.05).InterpretationMixing of components from different manufacturers is a common practice, despite the fact that it goes against regulatory guidance. However, it is not associated with increased revision rates unless heads and stems from different manufacturers are used together.
| S-EPMC4750765 | biostudies-literature
Project description:BackgroundThe number of total hip arthroplasties (THA) being performed has been steadily increasing for decades. With increased primary THA surgical volume, revision THA numbers are also increasing at a steady pace. With the aging, increasingly comorbid patient populations and newly imposed financial penalties for hospitals with high readmission rates, refining understanding of factors influencing readmission following THA is a research priority. We hypothesize that numerous preoperative medical comorbidities and postoperative medical complications will emerge as significant positive risk factors for 30-day readmission.MethodsACS-NSQIP database identified patients who underwent revision THA from 2005 to 2015. The primary outcome assessed was hospital readmission within 30 days. Patient demographics, preoperative comorbidities, laboratory studies, operative characteristics, and postsurgical complications were compared between readmitted and non-readmitted patients. Logistic regression identified significant independent risk factors for 30-day readmission among these variables.Results10,032 patients underwent revision THA in the ACS-NSQIP from 2005 to 2015; 855 (8.5%) were readmitted within 30-days. Increasing age, the presence of preoperative comorbidities, high ASA class, and increased operative time were significant positively associated independent risk factors for 30-day readmission. Several postoperative medical and surgical complications such as myocardial infarction, stroke, pneumonia, and sepsis demonstrated significant positive associations with readmission.ConclusionIdentifying and understanding risk factors associated with readmission allows for the implementation of evidence-based interventions aimed at minimizing risk and reducing 30-day readmission rates following revision THA.
| S-EPMC6985016 | biostudies-literature