M. Curry, A. Lipitz-Snyderman, D. Rubin, Diane G. Li, Elaine Duck, M. Radzyner, P. Bach
{"title":"High hospital volume is associated with more consistent long-term mortality rates","authors":"M. Curry, A. Lipitz-Snyderman, D. Rubin, Diane G. Li, Elaine Duck, M. Radzyner, P. Bach","doi":"10.21037/JHMHP-20-118","DOIUrl":null,"url":null,"abstract":"Long-term survival following cancer treatment is a widely accepted metric used to evaluate the quality of cancer care and varies between hospitals (1-3). Long-term survival takes years to evaluate, and these metrics reflect care quality from many years prior. Long-term survival has unknown applicability as a quality measure to evaluate current performance. It is important to determine if the structural lag in measurement limits the value of long-term survival measures meaningless as a tool for assessing current hospital performance. The study assesses the stability of hospitals’ performance over time based on its cancer patients’ fouryear survival. We hypothesized that hospitals’ four-year mortality ratio would be consistent over time, implying that patients could use such information when deciding where to get care. Additionally, since decades of research have demonstrated a relationship between higher surgical volume and better outcomes for hospitals, we set out to explore consistency by hospital volume (1,4).","PeriodicalId":92075,"journal":{"name":"Journal of hospital management and health policy","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of hospital management and health policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/JHMHP-20-118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Long-term survival following cancer treatment is a widely accepted metric used to evaluate the quality of cancer care and varies between hospitals (1-3). Long-term survival takes years to evaluate, and these metrics reflect care quality from many years prior. Long-term survival has unknown applicability as a quality measure to evaluate current performance. It is important to determine if the structural lag in measurement limits the value of long-term survival measures meaningless as a tool for assessing current hospital performance. The study assesses the stability of hospitals’ performance over time based on its cancer patients’ fouryear survival. We hypothesized that hospitals’ four-year mortality ratio would be consistent over time, implying that patients could use such information when deciding where to get care. Additionally, since decades of research have demonstrated a relationship between higher surgical volume and better outcomes for hospitals, we set out to explore consistency by hospital volume (1,4).