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Using Medicare data to measure vertical integration of hospitals and physicians
Researchers, healthcare providers, and policy makers have become increasingly interested in the cost and quality effects of vertical integration (VI) between hospitals and physicians. However, tracking VI is often financially costly. Because the Medicare Data on Provider Practice and Specialty (MD-P...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036068/ https://www.ncbi.nlm.nih.gov/pubmed/32099524 http://dx.doi.org/10.1007/s10742-020-00207-7 |
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author | Ho, Vivian Tapaneeyakul, Sasathorn Metcalfe, Leanne Vu, Lan Short, Marah |
author_facet | Ho, Vivian Tapaneeyakul, Sasathorn Metcalfe, Leanne Vu, Lan Short, Marah |
author_sort | Ho, Vivian |
collection | PubMed |
description | Researchers, healthcare providers, and policy makers have become increasingly interested in the cost and quality effects of vertical integration (VI) between hospitals and physicians. However, tracking VI is often financially costly. Because the Medicare Data on Provider Practice and Specialty (MD-PPAS) annual dataset may be more cost-effective for researchers to access than private data sources, we examine the accuracy of MD-PPAS in identifying VI by comparing it to physician and hospital affiliations reported in Blue Cross Blue Shield Texas (BCBSTX) PPO claims data for 2014–2016. The BCBSTX data serve as a gold standard, because physician–hospital affiliations are based on the insurer’s provider contract information. We merged the two datasets using the physician National Provider Identifier (NPI), then determined what percentage of physicians had the same Tax Identification Number (TIN) in both sources, and whether the TIN implied the physician belonged to a physician- or hospital-owned practice. We found that 71.3% of successfully matched NPIs reported the same TIN, and 95.1% of patient-level observations were attributed to organizations with the same ownership type in both datasets, regardless of TIN. We compared regression estimates of patient-level annual spending on an indicator variable for physician versus hospital ownership for the primary attributed physician and found that estimates were within one percentage point whether one determined VI based on the BCBSTX or the MD-PPAS data. The results suggest that MD-PPAS, which costs less to obtain than from a for-profit data source, can be used to reliably track VI between hospitals and physicians. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10742-020-00207-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7036068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-70360682020-03-01 Using Medicare data to measure vertical integration of hospitals and physicians Ho, Vivian Tapaneeyakul, Sasathorn Metcalfe, Leanne Vu, Lan Short, Marah Health Serv Outcomes Res Methodol Article Researchers, healthcare providers, and policy makers have become increasingly interested in the cost and quality effects of vertical integration (VI) between hospitals and physicians. However, tracking VI is often financially costly. Because the Medicare Data on Provider Practice and Specialty (MD-PPAS) annual dataset may be more cost-effective for researchers to access than private data sources, we examine the accuracy of MD-PPAS in identifying VI by comparing it to physician and hospital affiliations reported in Blue Cross Blue Shield Texas (BCBSTX) PPO claims data for 2014–2016. The BCBSTX data serve as a gold standard, because physician–hospital affiliations are based on the insurer’s provider contract information. We merged the two datasets using the physician National Provider Identifier (NPI), then determined what percentage of physicians had the same Tax Identification Number (TIN) in both sources, and whether the TIN implied the physician belonged to a physician- or hospital-owned practice. We found that 71.3% of successfully matched NPIs reported the same TIN, and 95.1% of patient-level observations were attributed to organizations with the same ownership type in both datasets, regardless of TIN. We compared regression estimates of patient-level annual spending on an indicator variable for physician versus hospital ownership for the primary attributed physician and found that estimates were within one percentage point whether one determined VI based on the BCBSTX or the MD-PPAS data. The results suggest that MD-PPAS, which costs less to obtain than from a for-profit data source, can be used to reliably track VI between hospitals and physicians. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10742-020-00207-7) contains supplementary material, which is available to authorized users. Springer US 2020-02-04 2020 /pmc/articles/PMC7036068/ /pubmed/32099524 http://dx.doi.org/10.1007/s10742-020-00207-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ho, Vivian Tapaneeyakul, Sasathorn Metcalfe, Leanne Vu, Lan Short, Marah Using Medicare data to measure vertical integration of hospitals and physicians |
title | Using Medicare data to measure vertical integration of hospitals and physicians |
title_full | Using Medicare data to measure vertical integration of hospitals and physicians |
title_fullStr | Using Medicare data to measure vertical integration of hospitals and physicians |
title_full_unstemmed | Using Medicare data to measure vertical integration of hospitals and physicians |
title_short | Using Medicare data to measure vertical integration of hospitals and physicians |
title_sort | using medicare data to measure vertical integration of hospitals and physicians |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036068/ https://www.ncbi.nlm.nih.gov/pubmed/32099524 http://dx.doi.org/10.1007/s10742-020-00207-7 |
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