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Achieving cross provincial comparisons of osteoporosis screening performance from administrative health data.
Administrative databases can be used to measure healthcare performance. This can lead to identification of high-performing practice characteristics and inform innovations. However, a key challenge is that administrative data cannot be easily combined across provinces. Comparable measures must be def...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Swansea University
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144816/ https://www.ncbi.nlm.nih.gov/pubmed/34095537 http://dx.doi.org/10.23889/ijpds.v4i1.1116 |
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author | Kueper, JK Alsabbagh, MW Peterson, S Wong, ST |
author_facet | Kueper, JK Alsabbagh, MW Peterson, S Wong, ST |
author_sort | Kueper, JK |
collection | PubMed |
description | Administrative databases can be used to measure healthcare performance. This can lead to identification of high-performing practice characteristics and inform innovations. However, a key challenge is that administrative data cannot be easily combined across provinces. Comparable measures must be defined across provinces but operationalized within each province. The purpose of this work is to provide an example of defining a population health concept, osteoporosis screening, and creating measures to examine it across British Columbia, Ontario, and Nova Scotia, Canada. TRANSFORMATION is a study that seeks to improve the science and reporting of Primary Health Care performance. We used administrative data from the above three provinces to examine osteoporosis screening in those aged 65 years and older. Challenges of databases with different data elements and levels of methods development (e.g. macros) can be overcome for purposes of cross-provincial comparisons. Flexibility of analytic methods and frequent communication is needed. |
format | Online Article Text |
id | pubmed-8144816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Swansea University |
record_format | MEDLINE/PubMed |
spelling | pubmed-81448162021-06-04 Achieving cross provincial comparisons of osteoporosis screening performance from administrative health data. Kueper, JK Alsabbagh, MW Peterson, S Wong, ST Int J Popul Data Sci Population Data Science Administrative databases can be used to measure healthcare performance. This can lead to identification of high-performing practice characteristics and inform innovations. However, a key challenge is that administrative data cannot be easily combined across provinces. Comparable measures must be defined across provinces but operationalized within each province. The purpose of this work is to provide an example of defining a population health concept, osteoporosis screening, and creating measures to examine it across British Columbia, Ontario, and Nova Scotia, Canada. TRANSFORMATION is a study that seeks to improve the science and reporting of Primary Health Care performance. We used administrative data from the above three provinces to examine osteoporosis screening in those aged 65 years and older. Challenges of databases with different data elements and levels of methods development (e.g. macros) can be overcome for purposes of cross-provincial comparisons. Flexibility of analytic methods and frequent communication is needed. Swansea University 2019-12-05 /pmc/articles/PMC8144816/ /pubmed/34095537 http://dx.doi.org/10.23889/ijpds.v4i1.1116 Text en https://creativecommons.org/licenses/by/4.0/This work is licenced under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Population Data Science Kueper, JK Alsabbagh, MW Peterson, S Wong, ST Achieving cross provincial comparisons of osteoporosis screening performance from administrative health data. |
title | Achieving cross provincial comparisons of osteoporosis screening performance from administrative health data. |
title_full | Achieving cross provincial comparisons of osteoporosis screening performance from administrative health data. |
title_fullStr | Achieving cross provincial comparisons of osteoporosis screening performance from administrative health data. |
title_full_unstemmed | Achieving cross provincial comparisons of osteoporosis screening performance from administrative health data. |
title_short | Achieving cross provincial comparisons of osteoporosis screening performance from administrative health data. |
title_sort | achieving cross provincial comparisons of osteoporosis screening performance from administrative health data. |
topic | Population Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144816/ https://www.ncbi.nlm.nih.gov/pubmed/34095537 http://dx.doi.org/10.23889/ijpds.v4i1.1116 |
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