Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure.
- Publisher:
- WILEY
- Publication Type:
- Journal Article
- Citation:
- Clinical pharmacology and therapeutics, 2019, 106, (1), pp. 211-218
- Issue Date:
- 2019-07
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Ihle, P | |
dc.contributor.author | Krueger, K | |
dc.contributor.author | Schubert, I | |
dc.contributor.author | Griese-Mammen, N | |
dc.contributor.author | Parrau, N | |
dc.contributor.author | Laufs, U | |
dc.contributor.author |
Schulz, M https://orcid.org/0000-0002-5876-7322 |
|
dc.date.accessioned | 2020-06-14T23:55:21Z | |
dc.date.available | 2019-01-08 | |
dc.date.available | 2020-06-14T23:55:21Z | |
dc.date.issued | 2019-07 | |
dc.identifier.citation | Clinical pharmacology and therapeutics, 2019, 106, (1), pp. 211-218 | |
dc.identifier.issn | 0009-9236 | |
dc.identifier.issn | 1532-6535 | |
dc.identifier.uri | http://hdl.handle.net/10453/141421 | |
dc.description.abstract | 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. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | WILEY | |
dc.relation.ispartof | Clinical pharmacology and therapeutics | |
dc.relation.isbasedon | 10.1002/cpt.1378 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 1115 Pharmacology and Pharmaceutical Sciences | |
dc.subject.classification | Pharmacology & Pharmacy | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Cardiovascular Agents | |
dc.subject.mesh | Length of Stay | |
dc.subject.mesh | Severity of Illness Index | |
dc.subject.mesh | Retrospective Studies | |
dc.subject.mesh | Dose-Response Relationship, Drug | |
dc.subject.mesh | Research Design | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Aged, 80 and over | |
dc.subject.mesh | Insurance Claim Review | |
dc.subject.mesh | Female | |
dc.subject.mesh | Male | |
dc.subject.mesh | Heart Failure | |
dc.subject.mesh | Medication Adherence | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Cardiovascular Agents | |
dc.subject.mesh | Length of Stay | |
dc.subject.mesh | Severity of Illness Index | |
dc.subject.mesh | Retrospective Studies | |
dc.subject.mesh | Dose-Response Relationship, Drug | |
dc.subject.mesh | Research Design | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Aged, 80 and over | |
dc.subject.mesh | Insurance Claim Review | |
dc.subject.mesh | Female | |
dc.subject.mesh | Male | |
dc.subject.mesh | Heart Failure | |
dc.subject.mesh | Medication Adherence | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Aged, 80 and over | |
dc.subject.mesh | Cardiovascular Agents | |
dc.subject.mesh | Dose-Response Relationship, Drug | |
dc.subject.mesh | Female | |
dc.subject.mesh | Heart Failure | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Insurance Claim Review | |
dc.subject.mesh | Length of Stay | |
dc.subject.mesh | Male | |
dc.subject.mesh | Medication Adherence | |
dc.subject.mesh | Research Design | |
dc.subject.mesh | Retrospective Studies | |
dc.subject.mesh | Severity of Illness Index | |
dc.title | Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure. | |
dc.type | Journal Article | |
utslib.citation.volume | 106 | |
utslib.location.activity | United States | |
utslib.for | 1115 Pharmacology and Pharmaceutical Sciences | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | /University of Technology Sydney | |
utslib.copyright.status | open_access | * |
pubs.consider-herdc | false | |
dc.date.updated | 2020-06-14T23:55:17Z | |
pubs.issue | 1 | |
pubs.publication-status | Published | |
pubs.volume | 106 | |
utslib.citation.issue | 1 |
Abstract:
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.
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