Prescribing history to identify candidates for chronic condition medication adherence promotion

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dc.contributor.author Warren, James en
dc.contributor.author Warren, D en
dc.contributor.author Yang, H-Y en
dc.contributor.author Mabotuwana, T en
dc.contributor.author Kennelly, John en
dc.contributor.author Kenealy, Timothy en
dc.contributor.author Harrison, Jeffrey en
dc.date.accessioned 2016-03-11T01:57:06Z en
dc.date.issued 2011 en
dc.identifier.citation Studies in Health Technology and Informatics, 2011, 169 pp. 634 - 638 en
dc.identifier.issn 0926-9630 en
dc.identifier.uri http://hdl.handle.net/2292/28446 en
dc.description.abstract Poor adherence to long-term prescription medication is a frequent problem that undermines pharmacological control of important risk factors such as hypertension. A medication possession ratio (MPR) can be calculated from Practice Management System (PMS) data to provide a convenient indicator of adherence. We investigate how well prior MPR predicts later MPR, taking MPR<80% as indicative of ‘non-adherence,’ to assess the potential value of MPR calculation on PMS data for targeting adherence promotion activities by general practices. We examine PMS data for two New Zealand metropolitan general practices, one with a predominantly Pacific caseload, across 2008 and 2009. We find prevalence of non-adherence in 2009 to be 51.63% (95% confidence interval [CI] 47.9-55.3) for patients at the Pacific practice and 28.09% (95% CI 25.0-31.1) at the other practice for patients who are demonstrably active with the practice in 2009. The positive predictive value (PPV) of 2008 non-adherence for 2009 non-adherence is 71.80% (95% CI, 66.5-77.1) and negative predictive value (NPV) 61.52% (95% CI 56.9-66.1) for the Pacific practice; PPV is 61.38% (95% CI 54.6-68.2) and NPV is 82.19% (95% CI 79.2-85.2) for the other practice. The results indicate good potential for decision support tools to target adherence promotion. en
dc.language English en
dc.publisher IOS Press en
dc.relation.ispartofseries Studies in Health Technology and Informatics en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0926-9630/ http://www.iospress.nl/service/authors/author-copyright-agreement/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.subject Hypertension en
dc.subject information systems en
dc.subject patient non-adherence en
dc.subject quality indicators en
dc.title Prescribing history to identify candidates for chronic condition medication adherence promotion en
dc.type Journal Article en
dc.identifier.doi 10.3233/978-1-60750-806-9-634 en
pubs.begin-page 634 en
pubs.volume 169 en
dc.rights.holder Copyright: IOS Press en
dc.identifier.pmid 21893825 en
pubs.author-url http://ebooks.iospress.nl/volumearticle/14246 en
pubs.end-page 638 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 235397 en
pubs.org-id Medical and Health Sciences en
pubs.org-id Pharmacy en
pubs.org-id School of Medicine en
pubs.org-id Medicine Department en
pubs.org-id Science en
pubs.org-id School of Computer Science en
pubs.record-created-at-source-date 2011-10-31 en
pubs.dimensions-id 21893825 en


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