A comparison of Australian chronic disease prevalence estimates using administrative pharmaceutical dispensing data with international and community survey data
Introduction: Chronic disease (CD) is a leading cause of population mortality, illness and disability. Identification of CD using administrative data is increasingly used and may have utility in monitoring population health. Pharmaceutical administrative data using World Health Organization Anato...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Swansea University
2020-12-01
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| Series: | International Journal of Population Data Science |
| Subjects: | |
| Online Access: | https://ijpds.org/article/view/1347 |
| _version_ | 1797427416762679296 |
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| author | Shaun Francis Purkiss Tessa Keegel Hassan Vally Dennis Wollersheim |
| author_facet | Shaun Francis Purkiss Tessa Keegel Hassan Vally Dennis Wollersheim |
| author_sort | Shaun Francis Purkiss |
| collection | DOAJ |
| description | Introduction:
Chronic disease (CD) is a leading cause of population mortality, illness and disability. Identification of CD using administrative data is increasingly used and may have utility in monitoring population health. Pharmaceutical administrative data using World Health Organization Anatomic Therapeutic Chemical Codification (ATC) assigned to prescribed medicines may offer an improved method to define persons with certain CD and enable the calculation of population prevalence.
Objective:
To assess the feasibility of Australian Pharmaceutical Benefits Scheme (PBS) dispensing data to provide realistic measures of chronic disease prevalence using ATC codification and compare values with international data using similar ATC methodology and Australian community surveys.
Methods:
Twenty-two chronic diseases were identified using World Health Organization (WHO) formulated ATC codes assigned to treatments received and recorded in a PBS database. Distinct treatment episodes prescribed to individuals were counted annually for prevalence estimates. Comparisons were then made with estimates from international studies using pharmaceutical data and published Australian community surveys.
Results:
PBS prevalence estimates for a range of chronic diseases listed in European studies and Australian community surveys demonstrated good correlation (r > .83, p < .001). PBS estimates of the prevalence of diabetes, cardiovascular disease and hypertension, dyslipidemia, and respiratory disease with comparable Australian National Health Survey data by age groupings (>45 years) showed correlations of between (r = 0.82 - 0.99, p < .001) and a range of percentage difference of -15% to 77%. However, other conditions such as psychological disease and migraine showed greater disparity and correlated less well.
Conclusions:
Although not without limitations, Australian administrative pharmaceutical dispensing data may provide an alternative perspective on population health and a useful resource to estimate the prevalence of a number of chronic diseases within the Australian population. |
| first_indexed | 2024-03-09T08:43:49Z |
| format | Article |
| id | doaj.art-4e9e2f7ebf2a421eb7f0c1e2ddca763f |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T08:43:49Z |
| publishDate | 2020-12-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-4e9e2f7ebf2a421eb7f0c1e2ddca763f2023-12-02T15:52:01ZengSwansea UniversityInternational Journal of Population Data Science2399-49082020-12-015110.23889/ijpds.v5i1.1347A comparison of Australian chronic disease prevalence estimates using administrative pharmaceutical dispensing data with international and community survey dataShaun Francis Purkiss0Tessa Keegel1Hassan Vally2Dennis Wollersheim3Department of Public Health, La Trobe University, Bundoora, Victoria, Australia1Department of Public Health, La Trobe University, Bundoora, Victoria, Australia 2. Monash Centre for Occupational and Environmental Health, Monash University, Victoria, Australia.Department of Public Health, La Trobe University, Bundoora, Victoria, AustraliaDepartment of Public Health, La Trobe University, Bundoora, Victoria, Australia.Introduction: Chronic disease (CD) is a leading cause of population mortality, illness and disability. Identification of CD using administrative data is increasingly used and may have utility in monitoring population health. Pharmaceutical administrative data using World Health Organization Anatomic Therapeutic Chemical Codification (ATC) assigned to prescribed medicines may offer an improved method to define persons with certain CD and enable the calculation of population prevalence. Objective: To assess the feasibility of Australian Pharmaceutical Benefits Scheme (PBS) dispensing data to provide realistic measures of chronic disease prevalence using ATC codification and compare values with international data using similar ATC methodology and Australian community surveys. Methods: Twenty-two chronic diseases were identified using World Health Organization (WHO) formulated ATC codes assigned to treatments received and recorded in a PBS database. Distinct treatment episodes prescribed to individuals were counted annually for prevalence estimates. Comparisons were then made with estimates from international studies using pharmaceutical data and published Australian community surveys. Results: PBS prevalence estimates for a range of chronic diseases listed in European studies and Australian community surveys demonstrated good correlation (r > .83, p < .001). PBS estimates of the prevalence of diabetes, cardiovascular disease and hypertension, dyslipidemia, and respiratory disease with comparable Australian National Health Survey data by age groupings (>45 years) showed correlations of between (r = 0.82 - 0.99, p < .001) and a range of percentage difference of -15% to 77%. However, other conditions such as psychological disease and migraine showed greater disparity and correlated less well. Conclusions: Although not without limitations, Australian administrative pharmaceutical dispensing data may provide an alternative perspective on population health and a useful resource to estimate the prevalence of a number of chronic diseases within the Australian population.https://ijpds.org/article/view/1347Chronic diseasePrevalencePharmaceutical dataAdministrative data |
| spellingShingle | Shaun Francis Purkiss Tessa Keegel Hassan Vally Dennis Wollersheim A comparison of Australian chronic disease prevalence estimates using administrative pharmaceutical dispensing data with international and community survey data International Journal of Population Data Science Chronic disease Prevalence Pharmaceutical data Administrative data |
| title | A comparison of Australian chronic disease prevalence estimates using administrative pharmaceutical dispensing data with international and community survey data |
| title_full | A comparison of Australian chronic disease prevalence estimates using administrative pharmaceutical dispensing data with international and community survey data |
| title_fullStr | A comparison of Australian chronic disease prevalence estimates using administrative pharmaceutical dispensing data with international and community survey data |
| title_full_unstemmed | A comparison of Australian chronic disease prevalence estimates using administrative pharmaceutical dispensing data with international and community survey data |
| title_short | A comparison of Australian chronic disease prevalence estimates using administrative pharmaceutical dispensing data with international and community survey data |
| title_sort | comparison of australian chronic disease prevalence estimates using administrative pharmaceutical dispensing data with international and community survey data |
| topic | Chronic disease Prevalence Pharmaceutical data Administrative data |
| url | https://ijpds.org/article/view/1347 |
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