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Feasibility of a self-administered survey to identify primary care patients at risk of medication-related problems

BACKGROUND AND OBJECTIVES: Pharmacists working in primary care clinics are well positioned to help optimize medication management of community-dwelling patients who are at high risk of experiencing medication-related problems. However, it is often difficult to identify these patients. Our objective...

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Autores principales: Makowsky, Mark J, Cave, Andrew J, Simpson, Scot H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3937182/
https://www.ncbi.nlm.nih.gov/pubmed/24591839
http://dx.doi.org/10.2147/JMDH.S46910
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author Makowsky, Mark J
Cave, Andrew J
Simpson, Scot H
author_facet Makowsky, Mark J
Cave, Andrew J
Simpson, Scot H
author_sort Makowsky, Mark J
collection PubMed
description BACKGROUND AND OBJECTIVES: Pharmacists working in primary care clinics are well positioned to help optimize medication management of community-dwelling patients who are at high risk of experiencing medication-related problems. However, it is often difficult to identify these patients. Our objective was to test the feasibility of a self-administered patient survey, to facilitate identification of patients at high risk of medication-related problems in a family medicine clinic. METHODS: We conducted a cross-sectional, paper-based survey at the University of Alberta Hospital Family Medicine Clinic in Edmonton, Alberta, which serves approximately 7,000 patients, with 25,000 consultations per year. Adult patients attending the clinic were invited to complete a ten-item questionnaire, adapted from previously validated surveys, while waiting to be seen by the physician. Outcomes of interest included: time to complete the questionnaire, staff feedback regarding impact on workflow, and the proportion of patients who reported three or more risk factors for medication-related problems. RESULTS: The questionnaire took less than 5 minutes to complete, according to the patient’s report on the last page of the questionnaire. The median age (and interquartile range) of respondents was 57 (45–69) years; 59% were women; 47% reported being in very good or excellent health; 43 respondents of 100 had three or more risk factors, and met the definition for being at high risk of a medication-related problem. CONCLUSIONS: Distribution of a self-administered questionnaire did not disrupt patients, or the clinic workflow, and identified an important proportion of patients at high risk of medication-related problems.
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spelling pubmed-39371822014-03-03 Feasibility of a self-administered survey to identify primary care patients at risk of medication-related problems Makowsky, Mark J Cave, Andrew J Simpson, Scot H J Multidiscip Healthc Original Research BACKGROUND AND OBJECTIVES: Pharmacists working in primary care clinics are well positioned to help optimize medication management of community-dwelling patients who are at high risk of experiencing medication-related problems. However, it is often difficult to identify these patients. Our objective was to test the feasibility of a self-administered patient survey, to facilitate identification of patients at high risk of medication-related problems in a family medicine clinic. METHODS: We conducted a cross-sectional, paper-based survey at the University of Alberta Hospital Family Medicine Clinic in Edmonton, Alberta, which serves approximately 7,000 patients, with 25,000 consultations per year. Adult patients attending the clinic were invited to complete a ten-item questionnaire, adapted from previously validated surveys, while waiting to be seen by the physician. Outcomes of interest included: time to complete the questionnaire, staff feedback regarding impact on workflow, and the proportion of patients who reported three or more risk factors for medication-related problems. RESULTS: The questionnaire took less than 5 minutes to complete, according to the patient’s report on the last page of the questionnaire. The median age (and interquartile range) of respondents was 57 (45–69) years; 59% were women; 47% reported being in very good or excellent health; 43 respondents of 100 had three or more risk factors, and met the definition for being at high risk of a medication-related problem. CONCLUSIONS: Distribution of a self-administered questionnaire did not disrupt patients, or the clinic workflow, and identified an important proportion of patients at high risk of medication-related problems. Dove Medical Press 2014-02-22 /pmc/articles/PMC3937182/ /pubmed/24591839 http://dx.doi.org/10.2147/JMDH.S46910 Text en © 2014 Makowsky et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Makowsky, Mark J
Cave, Andrew J
Simpson, Scot H
Feasibility of a self-administered survey to identify primary care patients at risk of medication-related problems
title Feasibility of a self-administered survey to identify primary care patients at risk of medication-related problems
title_full Feasibility of a self-administered survey to identify primary care patients at risk of medication-related problems
title_fullStr Feasibility of a self-administered survey to identify primary care patients at risk of medication-related problems
title_full_unstemmed Feasibility of a self-administered survey to identify primary care patients at risk of medication-related problems
title_short Feasibility of a self-administered survey to identify primary care patients at risk of medication-related problems
title_sort feasibility of a self-administered survey to identify primary care patients at risk of medication-related problems
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3937182/
https://www.ncbi.nlm.nih.gov/pubmed/24591839
http://dx.doi.org/10.2147/JMDH.S46910
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