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Physician influence on medication adherence, evidence from a population-based cohort
BACKGROUND: The overall impact of physician prescribers on population-level adherence rates are unknown. We aimed to quantify the influence of general practitioner (GP) physician prescribers on the outcome of optimal statin medication adherence. METHODS: We conducted a retrospective cohort study usi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714848/ https://www.ncbi.nlm.nih.gov/pubmed/36454907 http://dx.doi.org/10.1371/journal.pone.0278470 |
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author | Yao, Shenzhen Lix, Lisa M. Teare, Gary Evans, Charity Blackburn, David F. |
author_facet | Yao, Shenzhen Lix, Lisa M. Teare, Gary Evans, Charity Blackburn, David F. |
author_sort | Yao, Shenzhen |
collection | PubMed |
description | BACKGROUND: The overall impact of physician prescribers on population-level adherence rates are unknown. We aimed to quantify the influence of general practitioner (GP) physician prescribers on the outcome of optimal statin medication adherence. METHODS: We conducted a retrospective cohort study using health administrative databases from Saskatchewan, Canada. Participants included physician prescribers and their patients beginning a new statin medication between January 1, 2012 and December 31, 2017. We grouped prescribers based on the prevalence of optimal adherence (i.e., proportion of days covered ≥ 80%) within their patient group. Also, we constructed multivariable logistic regression analyses on optimal statin adherence using two-level non-linear mixed-effects models containing patient and prescriber-level characteristics. An intraclass correlation coefficient was used to estimate the physician effect. RESULTS: We identified 1,562 GPs prescribing to 51,874 new statin users. The median percentage of optimal statin adherence across GPs was 52.4% (inter-quartile range: 35.7% to 65.5%). GP prescribers with the highest patient adherence (versus the lowest) had patients who were older (median age 61.0 vs 55.0, p<0.0001) and sicker (prior hospitalization 39.4% vs 16.4%, p<0.001). After accounting for patient-level factors, only 6.4% of the observed variance in optimal adherence between patients could be attributed to GP prescribers (p<0.001). The majority of GP prescriber influence (5.2% out of 6.4%) was attributed to the variance unexplained by patient and prescriber variables. INTERPRETATION: The overall impact of GP prescribers on statin adherence appears to be very limited. Even “high-performing” physicians face significant levels of sub-optimal adherence among their patients. |
format | Online Article Text |
id | pubmed-9714848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-97148482022-12-02 Physician influence on medication adherence, evidence from a population-based cohort Yao, Shenzhen Lix, Lisa M. Teare, Gary Evans, Charity Blackburn, David F. PLoS One Research Article BACKGROUND: The overall impact of physician prescribers on population-level adherence rates are unknown. We aimed to quantify the influence of general practitioner (GP) physician prescribers on the outcome of optimal statin medication adherence. METHODS: We conducted a retrospective cohort study using health administrative databases from Saskatchewan, Canada. Participants included physician prescribers and their patients beginning a new statin medication between January 1, 2012 and December 31, 2017. We grouped prescribers based on the prevalence of optimal adherence (i.e., proportion of days covered ≥ 80%) within their patient group. Also, we constructed multivariable logistic regression analyses on optimal statin adherence using two-level non-linear mixed-effects models containing patient and prescriber-level characteristics. An intraclass correlation coefficient was used to estimate the physician effect. RESULTS: We identified 1,562 GPs prescribing to 51,874 new statin users. The median percentage of optimal statin adherence across GPs was 52.4% (inter-quartile range: 35.7% to 65.5%). GP prescribers with the highest patient adherence (versus the lowest) had patients who were older (median age 61.0 vs 55.0, p<0.0001) and sicker (prior hospitalization 39.4% vs 16.4%, p<0.001). After accounting for patient-level factors, only 6.4% of the observed variance in optimal adherence between patients could be attributed to GP prescribers (p<0.001). The majority of GP prescriber influence (5.2% out of 6.4%) was attributed to the variance unexplained by patient and prescriber variables. INTERPRETATION: The overall impact of GP prescribers on statin adherence appears to be very limited. Even “high-performing” physicians face significant levels of sub-optimal adherence among their patients. Public Library of Science 2022-12-01 /pmc/articles/PMC9714848/ /pubmed/36454907 http://dx.doi.org/10.1371/journal.pone.0278470 Text en © 2022 Yao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Yao, Shenzhen Lix, Lisa M. Teare, Gary Evans, Charity Blackburn, David F. Physician influence on medication adherence, evidence from a population-based cohort |
title | Physician influence on medication adherence, evidence from a population-based cohort |
title_full | Physician influence on medication adherence, evidence from a population-based cohort |
title_fullStr | Physician influence on medication adherence, evidence from a population-based cohort |
title_full_unstemmed | Physician influence on medication adherence, evidence from a population-based cohort |
title_short | Physician influence on medication adherence, evidence from a population-based cohort |
title_sort | physician influence on medication adherence, evidence from a population-based cohort |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714848/ https://www.ncbi.nlm.nih.gov/pubmed/36454907 http://dx.doi.org/10.1371/journal.pone.0278470 |
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