Estimates of age-specific death rates and mortality risk using administrative pharmaceutical data

Background Estimates of age-specific mortality rates and relative mortality risks are useful for a variety of health, actuarial and life insurance purposes. Mortality risk may also be associated with individual health service utilisation. Main Aim We aimed to identify mortality events using pharm...

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Main Authors: Shaun Purkiss, Tessa Keegel, Hassan Vally, Dennis Wollersheim
Format: Article
Language:English
Published: Swansea University 2019-11-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/1165
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author Shaun Purkiss
Tessa Keegel
Hassan Vally
Dennis Wollersheim
author_facet Shaun Purkiss
Tessa Keegel
Hassan Vally
Dennis Wollersheim
author_sort Shaun Purkiss
collection DOAJ
description Background Estimates of age-specific mortality rates and relative mortality risks are useful for a variety of health, actuarial and life insurance purposes. Mortality risk may also be associated with individual health service utilisation. Main Aim We aimed to identify mortality events using pharmaceutical administrative data and quantify mortality rates and their relationship to levels of pharmaceutical health utilisation. Approach A publicly available Australian Pharmaceutical Benefits Scheme (PBS) database was employed for this study. For all individuals listed in the dataset the last recorded prescription exchange was used to define a proxy mortality event and health utilisation was quantified by the average number of prescriptions exchanged per year (ppy). Age-specific mortality rates were calculated from PBS data for a range of heath utilisation levels and used with Australian Bureau of Statistics (ABS) death rate data to estimate relative mortality risk. Results The age-specific population profile of 256 190 persons utilising PBS services closely correlated with Australian census data (r=0.97). Age specific PBS mortality rates calculated using proxy mortality events correlated well with ABS death rates for persons aged >45 years but correlated poorly in younger age groups. In these younger age cohorts PBS utilisation was associated with a high relative mortality risk, whereas for older persons aged mortality rates approached equivalence with ABS data. Mortality rates were associated with use of the PBS. High PBS use (>20 ppy) was associated with poorer mortality rates whereas moderate PBS use (5-19 ppy) was associated with improved mortality as compared to persons using PBS minimally (<5 ppy) (p<.05). Conclusion Pharmaceutical administrative data can identify mortality events and provide estimates of mortality rates and relative mortality risks associated with health care use.
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spelling doaj.art-2d10f9b6c572451db6a87259a99832612023-12-02T05:01:01ZengSwansea UniversityInternational Journal of Population Data Science2399-49082019-11-014310.23889/ijpds.v4i3.1165Estimates of age-specific death rates and mortality risk using administrative pharmaceutical dataShaun Purkiss0Tessa Keegel1Hassan Vally2Dennis Wollersheim3La Trobe University, MelbourneLa Trobe University, MelbourneLa Trobe University, MelbourneLa Trobe University, MelbourneBackground Estimates of age-specific mortality rates and relative mortality risks are useful for a variety of health, actuarial and life insurance purposes. Mortality risk may also be associated with individual health service utilisation. Main Aim We aimed to identify mortality events using pharmaceutical administrative data and quantify mortality rates and their relationship to levels of pharmaceutical health utilisation. Approach A publicly available Australian Pharmaceutical Benefits Scheme (PBS) database was employed for this study. For all individuals listed in the dataset the last recorded prescription exchange was used to define a proxy mortality event and health utilisation was quantified by the average number of prescriptions exchanged per year (ppy). Age-specific mortality rates were calculated from PBS data for a range of heath utilisation levels and used with Australian Bureau of Statistics (ABS) death rate data to estimate relative mortality risk. Results The age-specific population profile of 256 190 persons utilising PBS services closely correlated with Australian census data (r=0.97). Age specific PBS mortality rates calculated using proxy mortality events correlated well with ABS death rates for persons aged >45 years but correlated poorly in younger age groups. In these younger age cohorts PBS utilisation was associated with a high relative mortality risk, whereas for older persons aged mortality rates approached equivalence with ABS data. Mortality rates were associated with use of the PBS. High PBS use (>20 ppy) was associated with poorer mortality rates whereas moderate PBS use (5-19 ppy) was associated with improved mortality as compared to persons using PBS minimally (<5 ppy) (p<.05). Conclusion Pharmaceutical administrative data can identify mortality events and provide estimates of mortality rates and relative mortality risks associated with health care use.https://ijpds.org/article/view/1165
spellingShingle Shaun Purkiss
Tessa Keegel
Hassan Vally
Dennis Wollersheim
Estimates of age-specific death rates and mortality risk using administrative pharmaceutical data
International Journal of Population Data Science
title Estimates of age-specific death rates and mortality risk using administrative pharmaceutical data
title_full Estimates of age-specific death rates and mortality risk using administrative pharmaceutical data
title_fullStr Estimates of age-specific death rates and mortality risk using administrative pharmaceutical data
title_full_unstemmed Estimates of age-specific death rates and mortality risk using administrative pharmaceutical data
title_short Estimates of age-specific death rates and mortality risk using administrative pharmaceutical data
title_sort estimates of age specific death rates and mortality risk using administrative pharmaceutical data
url https://ijpds.org/article/view/1165
work_keys_str_mv AT shaunpurkiss estimatesofagespecificdeathratesandmortalityriskusingadministrativepharmaceuticaldata
AT tessakeegel estimatesofagespecificdeathratesandmortalityriskusingadministrativepharmaceuticaldata
AT hassanvally estimatesofagespecificdeathratesandmortalityriskusingadministrativepharmaceuticaldata
AT denniswollersheim estimatesofagespecificdeathratesandmortalityriskusingadministrativepharmaceuticaldata