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...
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Published in | International journal of population data science Vol. 4; no. 1; p. 1116 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Swansea University
05.12.2019
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Statement on conflicts of interest: None to declare. |
ISSN: | 2399-4908 2399-4908 |
DOI: | 10.23889/ijpds.v4i1.1116 |