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Comparing different methods of indexing commercial health care prices
OBJECTIVE: To compare different methods of indexing health care service prices for the commercially insured population across geographic markets. DATA SOURCES: Health Care Cost Institute commercial claims data from 2012 to 2016. STUDY DESIGN: We compare price indices computed using methods with diff...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6980960/ https://www.ncbi.nlm.nih.gov/pubmed/31763686 http://dx.doi.org/10.1111/1475-6773.13242 |
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author | Johnson, William C. Kennedy, Kevin |
author_facet | Johnson, William C. Kennedy, Kevin |
author_sort | Johnson, William C. |
collection | PubMed |
description | OBJECTIVE: To compare different methods of indexing health care service prices for the commercially insured population across geographic markets. DATA SOURCES: Health Care Cost Institute commercial claims data from 2012 to 2016. STUDY DESIGN: We compare price indices computed using methods with differing levels of computational intensity: weighted‐average versus regression‐based methods. We separately compute indices of the prices paid for set of common inpatient and set of common outpatient services in different markets across the United States using each type of method. We subsequently examined the variation of and correlations between the resulting index values. DATA COLLECTION/EXTRACTION METHODS: We computed health care service price indices separately using samples of inpatient and outpatient facility claims from 2012 to 2016 across 112 Core‐Based Statistical Areas. Within each category of services, claims were limited to members under the age of 65 with employer‐sponsored insurance. Both samples were limited to a common set of services that made up nearly 80 percent of the service use in the full sample every year. PRINCIPAL FINDINGS: We found that the methods studied produced highly correlated price indices (r > .94) with similar distributions across years for both inpatient and outpatient services. CONCLUSIONS: Our findings suggest that weighted‐average methods, which are much less computationally intensive, will generate results similar to regression‐based methods. |
format | Online Article Text |
id | pubmed-6980960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69809602020-10-08 Comparing different methods of indexing commercial health care prices Johnson, William C. Kennedy, Kevin Health Serv Res Health Care Prices and Choice OBJECTIVE: To compare different methods of indexing health care service prices for the commercially insured population across geographic markets. DATA SOURCES: Health Care Cost Institute commercial claims data from 2012 to 2016. STUDY DESIGN: We compare price indices computed using methods with differing levels of computational intensity: weighted‐average versus regression‐based methods. We separately compute indices of the prices paid for set of common inpatient and set of common outpatient services in different markets across the United States using each type of method. We subsequently examined the variation of and correlations between the resulting index values. DATA COLLECTION/EXTRACTION METHODS: We computed health care service price indices separately using samples of inpatient and outpatient facility claims from 2012 to 2016 across 112 Core‐Based Statistical Areas. Within each category of services, claims were limited to members under the age of 65 with employer‐sponsored insurance. Both samples were limited to a common set of services that made up nearly 80 percent of the service use in the full sample every year. PRINCIPAL FINDINGS: We found that the methods studied produced highly correlated price indices (r > .94) with similar distributions across years for both inpatient and outpatient services. CONCLUSIONS: Our findings suggest that weighted‐average methods, which are much less computationally intensive, will generate results similar to regression‐based methods. John Wiley and Sons Inc. 2019-11-25 2020-02 /pmc/articles/PMC6980960/ /pubmed/31763686 http://dx.doi.org/10.1111/1475-6773.13242 Text en © 2019 The Authors. Health Services Research published by Wiley Periodicals, Inc. on behalf of Health Research and Educational Trust This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Health Care Prices and Choice Johnson, William C. Kennedy, Kevin Comparing different methods of indexing commercial health care prices |
title | Comparing different methods of indexing commercial health care prices |
title_full | Comparing different methods of indexing commercial health care prices |
title_fullStr | Comparing different methods of indexing commercial health care prices |
title_full_unstemmed | Comparing different methods of indexing commercial health care prices |
title_short | Comparing different methods of indexing commercial health care prices |
title_sort | comparing different methods of indexing commercial health care prices |
topic | Health Care Prices and Choice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6980960/ https://www.ncbi.nlm.nih.gov/pubmed/31763686 http://dx.doi.org/10.1111/1475-6773.13242 |
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