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A Simple and Interpretable Mortality-Based Value Metric for Condition- or Procedure-Specific Hospital Performance Reporting
OBJECTIVE: To develop a simple, interpretable value metric (VM) to assess the value of care of hospitals for specific procedures or conditions by operationalizing the value equation: Value = Quality/Cost. PATIENTS AND METHODS: The present study was conducted on a retrospective cohort from 2015 to 20...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727624/ https://www.ncbi.nlm.nih.gov/pubmed/36505980 http://dx.doi.org/10.1016/j.mayocpiqo.2022.10.003 |
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author | Pollock, Benjamin D. Meier, Sarah K. Snaza, Kari S. Shah, Nilay D. Dowdy, Sean C. Ting, Henry H. |
author_facet | Pollock, Benjamin D. Meier, Sarah K. Snaza, Kari S. Shah, Nilay D. Dowdy, Sean C. Ting, Henry H. |
author_sort | Pollock, Benjamin D. |
collection | PubMed |
description | OBJECTIVE: To develop a simple, interpretable value metric (VM) to assess the value of care of hospitals for specific procedures or conditions by operationalizing the value equation: Value = Quality/Cost. PATIENTS AND METHODS: The present study was conducted on a retrospective cohort from 2015 to 2018 drawn from the 100% US sample of Medicare inpatient claims. The final cohort comprised 637,341 consecutive inpatient encounters with a cancer-related Medicare Severity-Diagnosis Related Grouping and 13,307 consecutive inpatient encounters with the International Classification of Diseases, Ninth Revision or International Classification of Diseases, Tenth Revision procedure code for partial or total gastrectomy. Claims-based demographic and clinical variables were used for risk adjustment, including age, sex, year, dual eligibility, reason for Medicare entitlement, and binary indicators for each of the Elixhauser comorbidities used in the Elixhauser mortality index. Risk-adjusted 30-day mortality and risk-adjusted encounter-specific costs were combined to form the VM, which was calculated as follows: number needed to treat = 1/(Mortality(national) − Mortality(hospital)), and VM = number needed to treat × risk-adjusted cost per encounter. RESULTS: Among hospitals with better-than-average 30-day cancer mortality rates, the cost to prevent 1 excess 30-day mortality for an inpatient cancer encounter ranged from $71,000 (best value) to $1.4 billion (worst value), with a median value of $543,000. Among hospitals with better-than-average 30-day gastrectomy mortality rates, the cost to prevent 1 excess 30-day mortality for an inpatient gastrectomy encounter ranged from $710,000 (best value) to $95 million (worst value), with a median value of $1.8 million. CONCLUSION: This simple VM may have utility for interpretable reporting of hospitals’ value of care for specific conditions or procedures. We found substantial inter- and intrahospital variation in value when defined as the costs of preventing 1 excess cancer or gastrectomy mortality compared with the national average, implying that hospitals with similar quality of care may differ widely in the value of that care. |
format | Online Article Text |
id | pubmed-9727624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97276242022-12-08 A Simple and Interpretable Mortality-Based Value Metric for Condition- or Procedure-Specific Hospital Performance Reporting Pollock, Benjamin D. Meier, Sarah K. Snaza, Kari S. Shah, Nilay D. Dowdy, Sean C. Ting, Henry H. Mayo Clin Proc Innov Qual Outcomes Original Article OBJECTIVE: To develop a simple, interpretable value metric (VM) to assess the value of care of hospitals for specific procedures or conditions by operationalizing the value equation: Value = Quality/Cost. PATIENTS AND METHODS: The present study was conducted on a retrospective cohort from 2015 to 2018 drawn from the 100% US sample of Medicare inpatient claims. The final cohort comprised 637,341 consecutive inpatient encounters with a cancer-related Medicare Severity-Diagnosis Related Grouping and 13,307 consecutive inpatient encounters with the International Classification of Diseases, Ninth Revision or International Classification of Diseases, Tenth Revision procedure code for partial or total gastrectomy. Claims-based demographic and clinical variables were used for risk adjustment, including age, sex, year, dual eligibility, reason for Medicare entitlement, and binary indicators for each of the Elixhauser comorbidities used in the Elixhauser mortality index. Risk-adjusted 30-day mortality and risk-adjusted encounter-specific costs were combined to form the VM, which was calculated as follows: number needed to treat = 1/(Mortality(national) − Mortality(hospital)), and VM = number needed to treat × risk-adjusted cost per encounter. RESULTS: Among hospitals with better-than-average 30-day cancer mortality rates, the cost to prevent 1 excess 30-day mortality for an inpatient cancer encounter ranged from $71,000 (best value) to $1.4 billion (worst value), with a median value of $543,000. Among hospitals with better-than-average 30-day gastrectomy mortality rates, the cost to prevent 1 excess 30-day mortality for an inpatient gastrectomy encounter ranged from $710,000 (best value) to $95 million (worst value), with a median value of $1.8 million. CONCLUSION: This simple VM may have utility for interpretable reporting of hospitals’ value of care for specific conditions or procedures. We found substantial inter- and intrahospital variation in value when defined as the costs of preventing 1 excess cancer or gastrectomy mortality compared with the national average, implying that hospitals with similar quality of care may differ widely in the value of that care. Elsevier 2022-12-05 /pmc/articles/PMC9727624/ /pubmed/36505980 http://dx.doi.org/10.1016/j.mayocpiqo.2022.10.003 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Pollock, Benjamin D. Meier, Sarah K. Snaza, Kari S. Shah, Nilay D. Dowdy, Sean C. Ting, Henry H. A Simple and Interpretable Mortality-Based Value Metric for Condition- or Procedure-Specific Hospital Performance Reporting |
title | A Simple and Interpretable Mortality-Based Value Metric for Condition- or Procedure-Specific Hospital Performance Reporting |
title_full | A Simple and Interpretable Mortality-Based Value Metric for Condition- or Procedure-Specific Hospital Performance Reporting |
title_fullStr | A Simple and Interpretable Mortality-Based Value Metric for Condition- or Procedure-Specific Hospital Performance Reporting |
title_full_unstemmed | A Simple and Interpretable Mortality-Based Value Metric for Condition- or Procedure-Specific Hospital Performance Reporting |
title_short | A Simple and Interpretable Mortality-Based Value Metric for Condition- or Procedure-Specific Hospital Performance Reporting |
title_sort | simple and interpretable mortality-based value metric for condition- or procedure-specific hospital performance reporting |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727624/ https://www.ncbi.nlm.nih.gov/pubmed/36505980 http://dx.doi.org/10.1016/j.mayocpiqo.2022.10.003 |
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