Sayeh Nikpay PhD, MPH, Michelle Leeberg BS, Katy Kozhimannil PhD, Michael Ward MD, MBA, PhD, Julian Wolfson PhD, John Graves PhD, Beth A. Virnig PhD
{"title":"A proposed method for identifying Interfacility transfers in Medicare claims data","authors":"Sayeh Nikpay PhD, MPH, Michelle Leeberg BS, Katy Kozhimannil PhD, Michael Ward MD, MBA, PhD, Julian Wolfson PhD, John Graves PhD, Beth A. Virnig PhD","doi":"10.1111/1475-6773.14367","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>To develop a method of consistently identifying interfacility transfers (IFTs) in Medicare Claims using patients with ST-Elevation Myocardial Infarction (STEMI) as an example.</p>\n </section>\n \n <section>\n \n <h3> Data Sources/Study Setting</h3>\n \n <p>100% Medicare inpatient and outpatient Standard Analytic Files and 5% Carrier Files, 2011–2020.</p>\n </section>\n \n <section>\n \n <h3> Study Design</h3>\n \n <p>Observational, cross-sectional comparison of patient characteristics between proposed and existing methods.</p>\n </section>\n \n <section>\n \n <h3> Data Collection/Extraction Methods</h3>\n \n <p>We limited to patients aged 65+ with STEMI diagnosis using both proposed and existing methods.</p>\n </section>\n \n <section>\n \n <h3> Principal Findings</h3>\n \n <p>We identified 62,668 more IFTs using the proposed method (86,128 versus 23,460). A separately billable interfacility ambulance trip was found for more IFTs using the proposed than existing method (86% vs. 79%). Compared with the existing method, transferred patients under the proposed method were more likely to live in rural (<i>p</i> < 0.001) and lower income (<i>p</i> < 0.001) counties and were located farther away from emergency departments, trauma centers, and intensive care units (<i>p</i> < 0.001).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Identifying transferred patients based on two consecutive inpatient claims results in an undercount of IFTs and under-represents rural and low-income patients.</p>\n </section>\n </div>","PeriodicalId":55065,"journal":{"name":"Health Services Research","volume":"60 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1475-6773.14367","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Services Research","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1475-6773.14367","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
To develop a method of consistently identifying interfacility transfers (IFTs) in Medicare Claims using patients with ST-Elevation Myocardial Infarction (STEMI) as an example.
Data Sources/Study Setting
100% Medicare inpatient and outpatient Standard Analytic Files and 5% Carrier Files, 2011–2020.
Study Design
Observational, cross-sectional comparison of patient characteristics between proposed and existing methods.
Data Collection/Extraction Methods
We limited to patients aged 65+ with STEMI diagnosis using both proposed and existing methods.
Principal Findings
We identified 62,668 more IFTs using the proposed method (86,128 versus 23,460). A separately billable interfacility ambulance trip was found for more IFTs using the proposed than existing method (86% vs. 79%). Compared with the existing method, transferred patients under the proposed method were more likely to live in rural (p < 0.001) and lower income (p < 0.001) counties and were located farther away from emergency departments, trauma centers, and intensive care units (p < 0.001).
Conclusions
Identifying transferred patients based on two consecutive inpatient claims results in an undercount of IFTs and under-represents rural and low-income patients.
期刊介绍:
Health Services Research (HSR) is a peer-reviewed scholarly journal that provides researchers and public and private policymakers with the latest research findings, methods, and concepts related to the financing, organization, delivery, evaluation, and outcomes of health services. Rated as one of the top journals in the fields of health policy and services and health care administration, HSR publishes outstanding articles reporting the findings of original investigations that expand knowledge and understanding of the wide-ranging field of health care and that will help to improve the health of individuals and communities.