| Abstract
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<p>Background and purpose: Patients’ … <p>Background and purpose: Patients’ adherence to medication is a complex, multidimensional phenomenon. Dispensation data and electronic health records are used to approximate medication-taking through refill adherence. In-depth discussions on the adverse effects of data quality and computational differences are rare. The purpose of this article is to evaluate the impact of common pitfalls when computing medication adherence using electronic health records.</p><p>Procedures: We point out common pitfalls associated with the data and operationalization of adherence measures. We provide operational definitions of refill adherence and conduct experiments to determine the effect of the pitfalls on adherence estimations. We performed statistical significance testing on the impact of common pitfalls using a baseline scenario as reference.</p><p>Findings: Slight changes in definition can significantly skew refill adherence estimates. Pickup patterns cause significant disagreement between measures and the commonly used proportion of days covered. Common data related issues had a small but statistically significant (p < 0.05) impact on population-level and significant effect on individual cases.</p><p>Conclusion: Data-related issues encountered in real-world administrative databases, which affect various operational definitions of refill adherence differently, can significantly skew refill adherence values, leading to false conclusions about adherence, particularly when estimating adherence for individuals. © 2020 The Authors. Published by Elsevier B.V. </p>ors. Published by Elsevier B.V. </p>
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| Author
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Alexander Galozy +
, Sławomir Nowaczyk +
, Anita Sant'Anna +
, Mattias Ohlsson +
, Markus Lingman +
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| DOI
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http://dx.doi.org/10.1016/j.ijmedinf.2020.104092 +
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| Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1396244
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| Journal
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International Journal of Medical Informatics +
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| PublicationType
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Journal Paper +
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| Publisher
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Elsevier +
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| Title
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Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation +
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| Volume
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136 +
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| Year
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2020 +
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| Has queryThis property is a special property in this wiki.
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Publications:Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation +
, Publications:Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation +
, Publications:Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation +
, Publications:Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation +
, Publications:Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation +
, Publications:Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation +
, Publications:Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation +
, Publications:Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation +
, Publications:Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation +
, Publications:Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation +
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| Categories |
Publication +
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| Modification dateThis property is a special property in this wiki.
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26 February 2020 21:22:07 +
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