Cargando…

Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms

OBJECTIVE: To describe the development of evidence-based electronic prescribing (e-prescribing) triggers and treatment algorithms for potentially inappropriate medications (PIMs) for older adults. DESIGN: Literature review, expert panel and focus group. SETTING: Primary care with access to e-prescri...

Descripción completa

Detalles Bibliográficos
Autores principales: Hume, Anne L, Quilliam, Brian J, Goldman, Roberta, Eaton, Charles, Lapane, Kate L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181429/
https://www.ncbi.nlm.nih.gov/pubmed/21719560
http://dx.doi.org/10.1136/bmjqs.2010.049635
_version_ 1782212757386428416
author Hume, Anne L
Quilliam, Brian J
Goldman, Roberta
Eaton, Charles
Lapane, Kate L
author_facet Hume, Anne L
Quilliam, Brian J
Goldman, Roberta
Eaton, Charles
Lapane, Kate L
author_sort Hume, Anne L
collection PubMed
description OBJECTIVE: To describe the development of evidence-based electronic prescribing (e-prescribing) triggers and treatment algorithms for potentially inappropriate medications (PIMs) for older adults. DESIGN: Literature review, expert panel and focus group. SETTING: Primary care with access to e-prescribing systems. PARTICIPANTS: Primary care physicians using e-prescribing systems receiving medication history. INTERVENTIONS: Standardised treatment algorithms for clinicians attempting to prescribe PIMs for older patients. MAIN OUTCOME MEASURE: Development of 15 treatment algorithms suggesting alternative therapies. RESULTS: Evidence-based treatment algorithms were well received by primary care physicians. Providing alternatives to PIMs would make it easier for physicians to change decisions at the point of prescribing. CONCLUSION: Prospectively identifying older persons receiving PIMs or with adherence issues and providing feasible interventions may prevent adverse drug events.
format Online
Article
Text
id pubmed-3181429
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BMJ Group
record_format MEDLINE/PubMed
spelling pubmed-31814292011-10-04 Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms Hume, Anne L Quilliam, Brian J Goldman, Roberta Eaton, Charles Lapane, Kate L BMJ Qual Saf Original Research OBJECTIVE: To describe the development of evidence-based electronic prescribing (e-prescribing) triggers and treatment algorithms for potentially inappropriate medications (PIMs) for older adults. DESIGN: Literature review, expert panel and focus group. SETTING: Primary care with access to e-prescribing systems. PARTICIPANTS: Primary care physicians using e-prescribing systems receiving medication history. INTERVENTIONS: Standardised treatment algorithms for clinicians attempting to prescribe PIMs for older patients. MAIN OUTCOME MEASURE: Development of 15 treatment algorithms suggesting alternative therapies. RESULTS: Evidence-based treatment algorithms were well received by primary care physicians. Providing alternatives to PIMs would make it easier for physicians to change decisions at the point of prescribing. CONCLUSION: Prospectively identifying older persons receiving PIMs or with adherence issues and providing feasible interventions may prevent adverse drug events. BMJ Group 2011-06-30 2011-10 /pmc/articles/PMC3181429/ /pubmed/21719560 http://dx.doi.org/10.1136/bmjqs.2010.049635 Text en © 2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Original Research
Hume, Anne L
Quilliam, Brian J
Goldman, Roberta
Eaton, Charles
Lapane, Kate L
Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms
title Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms
title_full Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms
title_fullStr Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms
title_full_unstemmed Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms
title_short Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms
title_sort alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181429/
https://www.ncbi.nlm.nih.gov/pubmed/21719560
http://dx.doi.org/10.1136/bmjqs.2010.049635
work_keys_str_mv AT humeannel alternativestopotentiallyinappropriatemedicationsforuseineprescribingsoftwaretriggersandtreatmentalgorithms
AT quilliambrianj alternativestopotentiallyinappropriatemedicationsforuseineprescribingsoftwaretriggersandtreatmentalgorithms
AT goldmanroberta alternativestopotentiallyinappropriatemedicationsforuseineprescribingsoftwaretriggersandtreatmentalgorithms
AT eatoncharles alternativestopotentiallyinappropriatemedicationsforuseineprescribingsoftwaretriggersandtreatmentalgorithms
AT lapanekatel alternativestopotentiallyinappropriatemedicationsforuseineprescribingsoftwaretriggersandtreatmentalgorithms