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Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure
Medication adherence correlates with morbidity and mortality in patients with chronic heart failure (CHF), but is difficult to assess. We conducted a retrospective methodological cohort study in 3,808 CHF patients, calculating adherence as proportion of days covered (PDC) utilizing claims data from...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617982/ https://www.ncbi.nlm.nih.gov/pubmed/30697693 http://dx.doi.org/10.1002/cpt.1378 |
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author | Ihle, Peter Krueger, Katrin Schubert, Ingrid Griese‐Mammen, Nina Parrau, Natalie Laufs, Ulrich Schulz, Martin |
author_facet | Ihle, Peter Krueger, Katrin Schubert, Ingrid Griese‐Mammen, Nina Parrau, Natalie Laufs, Ulrich Schulz, Martin |
author_sort | Ihle, Peter |
collection | PubMed |
description | Medication adherence correlates with morbidity and mortality in patients with chronic heart failure (CHF), but is difficult to assess. We conducted a retrospective methodological cohort study in 3,808 CHF patients, calculating adherence as proportion of days covered (PDC) utilizing claims data from 2010 to 2015. We aimed to compare different parameters’ influence on the PDC of elderly CHF patients exemplifying a complex chronic disease. Investigated parameters were the assumed prescribed daily dose (PDD), stockpiling, and periods of hospital stay. Thereby, we investigated a new approach using the PDD assigned to different percentiles. The different dose assumptions had the biggest influence on the PDC, with variations from 41.9% to 83.7%. Stockpiling and hospital stays increased the values slightly. These results queries that a reliable PDC can be calculated with an assumed PDD. Hence, results based on an assumed PDD have to be interpreted carefully and should be presented with sensitivity analyses to show the PDC's possible range. |
format | Online Article Text |
id | pubmed-6617982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66179822019-07-16 Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure Ihle, Peter Krueger, Katrin Schubert, Ingrid Griese‐Mammen, Nina Parrau, Natalie Laufs, Ulrich Schulz, Martin Clin Pharmacol Ther Research Medication adherence correlates with morbidity and mortality in patients with chronic heart failure (CHF), but is difficult to assess. We conducted a retrospective methodological cohort study in 3,808 CHF patients, calculating adherence as proportion of days covered (PDC) utilizing claims data from 2010 to 2015. We aimed to compare different parameters’ influence on the PDC of elderly CHF patients exemplifying a complex chronic disease. Investigated parameters were the assumed prescribed daily dose (PDD), stockpiling, and periods of hospital stay. Thereby, we investigated a new approach using the PDD assigned to different percentiles. The different dose assumptions had the biggest influence on the PDC, with variations from 41.9% to 83.7%. Stockpiling and hospital stays increased the values slightly. These results queries that a reliable PDC can be calculated with an assumed PDD. Hence, results based on an assumed PDD have to be interpreted carefully and should be presented with sensitivity analyses to show the PDC's possible range. John Wiley and Sons Inc. 2019-03-12 2019-07 /pmc/articles/PMC6617982/ /pubmed/30697693 http://dx.doi.org/10.1002/cpt.1378 Text en © 2019 The Authors Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Ihle, Peter Krueger, Katrin Schubert, Ingrid Griese‐Mammen, Nina Parrau, Natalie Laufs, Ulrich Schulz, Martin Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure |
title | Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure |
title_full | Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure |
title_fullStr | Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure |
title_full_unstemmed | Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure |
title_short | Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure |
title_sort | comparison of different strategies to measure medication adherence via claims data in patients with chronic heart failure |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617982/ https://www.ncbi.nlm.nih.gov/pubmed/30697693 http://dx.doi.org/10.1002/cpt.1378 |
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