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      Identifying high-value care for Medicare beneficiaries: a cross-sectional study of acute care hospitals in the USA

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          Abstract

          Objectives

          High-value care is providing high quality care at low cost; we sought to define hospital value and identify the characteristics of hospitals which provide high-value care.

          Design

          Retrospective observational study.

          Setting

          Acute care hospitals in the USA.

          Participants

          All Medicare beneficiaries with claims included in Center for Medicare & Medicaid Services Overall Star Ratings or in publicly available Medicare spending per beneficiary data.

          Primary and secondary outcome measures

          Our primary outcome was value defined as the difference between Star Ratings quality score and Medicare spending; the secondary outcome was classification as a 4 or 5 star hospital with lowest quintile Medicare spending (‘high value’) or 1 or 2 star hospital with highest quintile spending (‘low value’).

          Results

          Two thousand nine hundred and fourteen hospitals had both quality and spending data, and were included. The value score had a mean (SD) of 0.58 (1.79). A total of 286 hospitals were classified as high value; these represented 28.6% of 999 4 and 5 star hospitals and 46.8% of 611 low cost hospitals. A total of 258 hospitals were classified as low value; these represented 26.6% of 970 1 and 2 star hospitals and 49.3% of 523 high cost hospitals. In regression models ownership, non-teaching status, beds, urbanity, nurse to bed ratio, percentage of dual eligible Medicare patients and percentage of disproportionate share hospital payments were associated with the primary value score.

          Conclusions

          There are high quality hospitals that are not high value, and a number of factors are strongly associated with being low or high value. These findings can inform efforts of policymakers and hospitals to increase the value of care.

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          Most cited references5

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          Aggressive treatment style and surgical outcomes.

          Aggressive treatment style, as defined by the Dartmouth Atlas of Health Care, has been implicated as an important factor contributing to excessively high medical expenditures. We aimed to determine the association between aggressive treatment style and surgical outcomes. Medicare admissions to 3,065 hospitals for general, orthopedic, and vascular surgery between 2000 and 2005 (N = 4,558,215 unique patients). A retrospective cohort analysis. For elderly surgical patients, aggressive treatment style was not associated with significantly increased complications, but it was associated with significantly reduced odds of mortality and failure-to-rescue. The odds ratio for complications in hospitals at the 75th percentile of aggressive treatment style compared with those at the 25th percentile (a U.S.$10,000 difference) was 1.01 (1.00-1.02), p<.066; whereas the odds of mortality was 0.94 (0.93-0.95), p<.0001; and for failure-to-rescue it was 0.93 (0.92-0.94), p<.0001. Analyses that used alternative measures of aggressiveness--hospital days and ICU days--yielded similar results, as did analyses using only low-variation procedures. Attempting to reduce aggressive care that is not cost effective is a laudable goal, but policy makers should be aware that there may be improved outcomes associated with patients undergoing surgery in hospitals with a more aggressive treatment style. © Health Research and Educational Trust.
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            Associations Between Hospital Characteristics, Measure Reporting, and the Centers for Medicare & Medicaid Services Overall Hospital Quality Star Ratings

            This study uses CMS Overall Hospital Quality Star Rating data to estimate associations between hospital characteristics, number and types of measures reported, and the CMS Hospital Quality Star Ratings.
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              Association Between Medicare Star Ratings for Patient Experience and Medicare Spending per Beneficiary for US Hospitals

              Objective: To test the association between patient experience and Centers for Medicare and Medicaid Services (CMS) spending at the hospital level. Methods: Using CMS Hospital Compare data set, we analyzed 2014 data for CMS patient experience star ratings and the hospital Medicare Spending per Beneficiary (MSPB) Measure, which assesses price-standardized, risk-adjusted payments for services provided to Medicare beneficiaries for an episode of care from 3 days before hospital admission to 30 days following discharge. We tested the association using linear regression, adjusting for complexity of care using hospital Case Mix Index (CMI) and for socioeconomic status of the hospital patient population using Disproportionate Share Hospital (DSH) status. Results: The MSPB decreased with increasing hospital patient experience ratings. After adjustment for CMI and DSH, better hospital patient experience was associated with lower spending per episode (5.6% decrease from the lowest to highest patient experience star rating). Conclusion: We found that better hospital patient experience was associated with lower health-care spending. Further research is needed to define what specific elements and phases of the episode of care are driving the association.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2022
                31 March 2022
                : 12
                : 3
                : e053629
                Affiliations
                [1 ]departmentSection of Cardiovascular Medicine , Yale University School of Medicine , New Haven, Connecticut, USA
                [2 ]Flying Buttress Associates , Charlottesville, Virginia, USA
                [3 ]Yale School of Medicine , New Haven, Connecticut, USA
                [4 ]departmentCenter for Outcomes Research and Evaluation , Yale-New Haven Hospital , New Haven, Connecticut, USA
                [5 ]departmentDepartment of Emergency Medicine , Yale University , New Haven, Connecticut, USA
                [6 ]departmentDepartment of Population Health , NYU Grossman School of Medicine , New York City, New York, USA
                [7 ]departmentDepartment of Internal Medicine , Yale University School of Medicine , New Haven, Connecticut, USA
                [8 ]departmentCenter for Healthcare Innovation and Delivery Science , NYU Langone Health , New York City, New York, USA
                Author notes
                [Correspondence to ] Dr Jeph Herrin; jeph.herrin@ 123456yale.edu
                Author information
                http://orcid.org/0000-0002-3671-3622
                http://orcid.org/0000-0003-1800-6040
                Article
                bmjopen-2021-053629
                10.1136/bmjopen-2021-053629
                8971780
                35361641
                6c7c551e-05e3-449c-bc4e-dc52ac3ce961
                © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 19 May 2021
                : 04 March 2022
                Funding
                Funded by: Agency for Healthcare Quality;
                Award ID: R01HS022882
                Categories
                Health Policy
                1506
                1703
                Original research
                Custom metadata
                unlocked

                Medicine
                health policy,statistics & research methods,quality in health care
                Medicine
                health policy, statistics & research methods, quality in health care

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