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Prescription Changes During Geriatric Care Episodes: A Trend Analysis Conducted in Sweden

BACKGROUND: The number of drugs prescribed for old people has been rising in recent decades. With increasing age and multiple medications, the risk of complications and drug prescription complexity increases. Multiple changes to prescriptions could be a factor that improves treatment quality. OBJECT...

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Autores principales: Reimers, Marianne, Eriksdotter, Maria, Seiger, Åke, Fastbom, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884893/
https://www.ncbi.nlm.nih.gov/pubmed/29460087
http://dx.doi.org/10.1007/s40266-017-0509-z
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author Reimers, Marianne
Eriksdotter, Maria
Seiger, Åke
Fastbom, Johan
author_facet Reimers, Marianne
Eriksdotter, Maria
Seiger, Åke
Fastbom, Johan
author_sort Reimers, Marianne
collection PubMed
description BACKGROUND: The number of drugs prescribed for old people has been rising in recent decades. With increasing age and multiple medications, the risk of complications and drug prescription complexity increases. Multiple changes to prescriptions could be a factor that improves treatment quality. OBJECTIVES: Our objective was to investigate trends in drug prescriptions and factors that contribute to prescription changes. Specific objectives were to find out whether high numbers of prescription changes are significantly correlated with age, sex, comorbidity, length of care episode, and number of drugs. METHODS: Data were extracted from geriatric clinic records in Stockholm in 2005, 2010, and 2015. Indicators for good drug therapy were used to assess the effects of prescription changes on quality, using an index of inappropriate drug use (IDU). Data were analyzed with Student’s t-test, PR test, Wilcoxon’s rank sum test, and linear regression. RESULTS: Patients had more comorbidities and used more drugs but had shorter hospital stays and significantly fewer prescription changes in 2015 than in 2005. Length of care episode was significantly associated with prevalence of prescription changes. Our model showed that, for each day by which the length of care episode decreased, the number of prescription changes decreased by 8%. The number of prescription changes was negatively correlated to the IDU index score. CONCLUSIONS: The study showed that more prescription changes were associated with longer care episodes and improved drug prescribing quality as per the IDU index. Given prescription changes are regarded as a quality factor in geriatric care, quality may have decreased along with the length of care episodes between 2005 and 2015.
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spelling pubmed-58848932018-04-10 Prescription Changes During Geriatric Care Episodes: A Trend Analysis Conducted in Sweden Reimers, Marianne Eriksdotter, Maria Seiger, Åke Fastbom, Johan Drugs Aging Original Research Article BACKGROUND: The number of drugs prescribed for old people has been rising in recent decades. With increasing age and multiple medications, the risk of complications and drug prescription complexity increases. Multiple changes to prescriptions could be a factor that improves treatment quality. OBJECTIVES: Our objective was to investigate trends in drug prescriptions and factors that contribute to prescription changes. Specific objectives were to find out whether high numbers of prescription changes are significantly correlated with age, sex, comorbidity, length of care episode, and number of drugs. METHODS: Data were extracted from geriatric clinic records in Stockholm in 2005, 2010, and 2015. Indicators for good drug therapy were used to assess the effects of prescription changes on quality, using an index of inappropriate drug use (IDU). Data were analyzed with Student’s t-test, PR test, Wilcoxon’s rank sum test, and linear regression. RESULTS: Patients had more comorbidities and used more drugs but had shorter hospital stays and significantly fewer prescription changes in 2015 than in 2005. Length of care episode was significantly associated with prevalence of prescription changes. Our model showed that, for each day by which the length of care episode decreased, the number of prescription changes decreased by 8%. The number of prescription changes was negatively correlated to the IDU index score. CONCLUSIONS: The study showed that more prescription changes were associated with longer care episodes and improved drug prescribing quality as per the IDU index. Given prescription changes are regarded as a quality factor in geriatric care, quality may have decreased along with the length of care episodes between 2005 and 2015. Springer International Publishing 2018-02-19 2018 /pmc/articles/PMC5884893/ /pubmed/29460087 http://dx.doi.org/10.1007/s40266-017-0509-z Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research Article
Reimers, Marianne
Eriksdotter, Maria
Seiger, Åke
Fastbom, Johan
Prescription Changes During Geriatric Care Episodes: A Trend Analysis Conducted in Sweden
title Prescription Changes During Geriatric Care Episodes: A Trend Analysis Conducted in Sweden
title_full Prescription Changes During Geriatric Care Episodes: A Trend Analysis Conducted in Sweden
title_fullStr Prescription Changes During Geriatric Care Episodes: A Trend Analysis Conducted in Sweden
title_full_unstemmed Prescription Changes During Geriatric Care Episodes: A Trend Analysis Conducted in Sweden
title_short Prescription Changes During Geriatric Care Episodes: A Trend Analysis Conducted in Sweden
title_sort prescription changes during geriatric care episodes: a trend analysis conducted in sweden
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884893/
https://www.ncbi.nlm.nih.gov/pubmed/29460087
http://dx.doi.org/10.1007/s40266-017-0509-z
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