Operationalization and validation of a novel method to calculate adherence to polypharmacy with refill data from the Australian pharmaceutical benefits scheme (PBS) database

Isabelle Arnet,1 Melanie Greenland,2 Matthew W Knuiman,2 Jamie M Rankin,3 Joe Hung,4 Lee Nedkoff,2 Tom G Briffa,2 Frank M Sanfilippo2 1Department of Pharmaceutical Sciences, Pharmaceutical Care Research Group, University of Basel, Basel, Switzerland; 2School of Population and Global Health, Faculty...

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Published in:Clinical Epidemiology
Main Authors: Arnet,Isabelle, Greenland,Melanie, Knuiman,Matthew W, Rankin,Jamie M, Hung,Joe, Nedkoff,Lee, Briffa,Tom, Sanfilippo,Frank
Format: Article in Journal/Newspaper
Language:English
Published: Dove Press 2018
Subjects:
Online Access:https://www.dovepress.com/operationalization-and-validation-of-a-novel-method-to-calculate-adher-peer-reviewed-fulltext-article-CLEP
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spelling ftdovepress:oai:dovepress.com/40373 2023-05-15T16:30:11+02:00 Operationalization and validation of a novel method to calculate adherence to polypharmacy with refill data from the Australian pharmaceutical benefits scheme (PBS) database Arnet,Isabelle Greenland,Melanie Knuiman,Matthew W Rankin,Jamie M Hung,Joe Nedkoff,Lee Briffa,Tom Sanfilippo,Frank 2018-09-06 text/html https://www.dovepress.com/operationalization-and-validation-of-a-novel-method-to-calculate-adher-peer-reviewed-fulltext-article-CLEP en eng Dove Press info:eu-repo/semantics/altIdentifier/doi/10.2147/CLEP.S153496 https://www.dovepress.com/operationalization-and-validation-of-a-novel-method-to-calculate-adher-peer-reviewed-fulltext-article-CLEP info:eu-repo/semantics/openAccess Clinical Epidemiology Original Research info:eu-repo/semantics/article 2018 ftdovepress https://doi.org/10.2147/CLEP.S153496 2022-12-27T22:26:12Z Isabelle Arnet,1 Melanie Greenland,2 Matthew W Knuiman,2 Jamie M Rankin,3 Joe Hung,4 Lee Nedkoff,2 Tom G Briffa,2 Frank M Sanfilippo2 1Department of Pharmaceutical Sciences, Pharmaceutical Care Research Group, University of Basel, Basel, Switzerland; 2School of Population and Global Health, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, WA, Australia; 3Cardiology Department, Fiona Stanley Hospital Murdoch, WA, Australia; 4School of Medicine, Sir Charles Gairdner Hospital Unit, The University of Western Australia, Perth, WA, Australia Background: Electronic health care data contain rich information on medicine use from which adherence can be estimated. Various measures developed with medication claims data called for transparency of the equations used, predominantly because they may overestimate adherence, and even more when used with multiple medications. We aimed to operationalize a novel calculation of adherence with polypharmacy, the daily polypharmacy possession ratio (DPPR), and validate it against the common measure of adherence, the medication possession ratio (MPR) and a modified version (MPRm). Methods: We used linked health data from the Australian Pharmaceutical Benefits Scheme and Western Australian hospital morbidity dataset and mortality register. We identified a strict study cohort from 16,185 patients aged ≥65 years hospitalized for myocardial infarction in 2003–2008 in Western Australia as an illustrative example. We applied iterative exclusion criteria to standardize the dispensing histories according to previous literature. A SAS program was developed to calculate the adherence measures accounting for various drug parameters. Results: The study cohort was 348 incident patients (mean age 74.6±6.8 years; 69% male) with an admission for myocardial infarction who had cardiovascular medications over a median of 727 days (range 74 to 3,798 days) prior to readmission. There were statins (96.8%), angiotensin converting enzyme inhibitors (88.8%), beta-blockers ... Article in Journal/Newspaper Greenland Dove Medical Press Greenland Murdoch ENVELOPE(-44.666,-44.666,-60.783,-60.783) Clinical Epidemiology Volume 10 1181 1194
institution Open Polar
collection Dove Medical Press
op_collection_id ftdovepress
language English
topic Clinical Epidemiology
spellingShingle Clinical Epidemiology
Arnet,Isabelle
Greenland,Melanie
Knuiman,Matthew W
Rankin,Jamie M
Hung,Joe
Nedkoff,Lee
Briffa,Tom
Sanfilippo,Frank
Operationalization and validation of a novel method to calculate adherence to polypharmacy with refill data from the Australian pharmaceutical benefits scheme (PBS) database
topic_facet Clinical Epidemiology
description Isabelle Arnet,1 Melanie Greenland,2 Matthew W Knuiman,2 Jamie M Rankin,3 Joe Hung,4 Lee Nedkoff,2 Tom G Briffa,2 Frank M Sanfilippo2 1Department of Pharmaceutical Sciences, Pharmaceutical Care Research Group, University of Basel, Basel, Switzerland; 2School of Population and Global Health, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, WA, Australia; 3Cardiology Department, Fiona Stanley Hospital Murdoch, WA, Australia; 4School of Medicine, Sir Charles Gairdner Hospital Unit, The University of Western Australia, Perth, WA, Australia Background: Electronic health care data contain rich information on medicine use from which adherence can be estimated. Various measures developed with medication claims data called for transparency of the equations used, predominantly because they may overestimate adherence, and even more when used with multiple medications. We aimed to operationalize a novel calculation of adherence with polypharmacy, the daily polypharmacy possession ratio (DPPR), and validate it against the common measure of adherence, the medication possession ratio (MPR) and a modified version (MPRm). Methods: We used linked health data from the Australian Pharmaceutical Benefits Scheme and Western Australian hospital morbidity dataset and mortality register. We identified a strict study cohort from 16,185 patients aged ≥65 years hospitalized for myocardial infarction in 2003–2008 in Western Australia as an illustrative example. We applied iterative exclusion criteria to standardize the dispensing histories according to previous literature. A SAS program was developed to calculate the adherence measures accounting for various drug parameters. Results: The study cohort was 348 incident patients (mean age 74.6±6.8 years; 69% male) with an admission for myocardial infarction who had cardiovascular medications over a median of 727 days (range 74 to 3,798 days) prior to readmission. There were statins (96.8%), angiotensin converting enzyme inhibitors (88.8%), beta-blockers ...
format Article in Journal/Newspaper
author Arnet,Isabelle
Greenland,Melanie
Knuiman,Matthew W
Rankin,Jamie M
Hung,Joe
Nedkoff,Lee
Briffa,Tom
Sanfilippo,Frank
author_facet Arnet,Isabelle
Greenland,Melanie
Knuiman,Matthew W
Rankin,Jamie M
Hung,Joe
Nedkoff,Lee
Briffa,Tom
Sanfilippo,Frank
author_sort Arnet,Isabelle
title Operationalization and validation of a novel method to calculate adherence to polypharmacy with refill data from the Australian pharmaceutical benefits scheme (PBS) database
title_short Operationalization and validation of a novel method to calculate adherence to polypharmacy with refill data from the Australian pharmaceutical benefits scheme (PBS) database
title_full Operationalization and validation of a novel method to calculate adherence to polypharmacy with refill data from the Australian pharmaceutical benefits scheme (PBS) database
title_fullStr Operationalization and validation of a novel method to calculate adherence to polypharmacy with refill data from the Australian pharmaceutical benefits scheme (PBS) database
title_full_unstemmed Operationalization and validation of a novel method to calculate adherence to polypharmacy with refill data from the Australian pharmaceutical benefits scheme (PBS) database
title_sort operationalization and validation of a novel method to calculate adherence to polypharmacy with refill data from the australian pharmaceutical benefits scheme (pbs) database
publisher Dove Press
publishDate 2018
url https://www.dovepress.com/operationalization-and-validation-of-a-novel-method-to-calculate-adher-peer-reviewed-fulltext-article-CLEP
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geographic Greenland
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genre Greenland
genre_facet Greenland
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