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Unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation
BACKGROUND: Medication reconciliation (MedRec) is a widely accepted tool for the identification and resolution of unintended medication discrepancies (UMD). OBJECTIVE: This study aimed at assessing the magnitude and associated factors of UMD identified through medication reconciliation upon patient...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571466/ https://www.ncbi.nlm.nih.gov/pubmed/36243696 http://dx.doi.org/10.1186/s12913-022-08628-5 |
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author | Moges, Tilaye Arega Akalu, Temesgen Yihunie Sema, Faisel Dula |
author_facet | Moges, Tilaye Arega Akalu, Temesgen Yihunie Sema, Faisel Dula |
author_sort | Moges, Tilaye Arega |
collection | PubMed |
description | BACKGROUND: Medication reconciliation (MedRec) is a widely accepted tool for the identification and resolution of unintended medication discrepancies (UMD). OBJECTIVE: This study aimed at assessing the magnitude and associated factors of UMD identified through medication reconciliation upon patient admission to the internal medicine wards. METHODS: Prospective cross-sectional study was conducted at the internal medicine wards of Felege Hiwot and Tibebe Ghion comprehensive specialized hospitals in Bahir Dar city, Northwest Ethiopia, from May 01 to July 30, 2021. Data were collected by using a data abstraction format prepared based on standard MedRec tools and previous studies on medication discrepancy. Pharmacists-led MedRec was made by following the WHO High5s “retroactive medication reconciliation model”. SPSS® (IBM Corporation) version 25.0 was used to analyze the data with descriptive and inferential statistics. A binary logistic regression analysis was used to identify factors associated with UMD. A statistical significance was declared at a p-value < 0.05. RESULTS: Among 635 adult patients, 248 (39.1%) of them had at least one UMD. The most frequent types of UMDs were omission (41.75%) and wrong dose (21.9%). The majority (75.3%) of pharmacists’ interventions were accepted. Polypharmacy at admission (p-value < 0.001), age ≥ 65 (p-value = 0.001), a unit increase on the number of comorbidities (p-value = 0.008) and information sources used for MedRec (p-value < 0.001), and medium (p-value = 0.019) and low adherence (p-value < 0.001) were significantly associated with UMD. CONCLUSION: The magnitude of UMD upon patient admission to the internal medicine wards was considerably high. Omission and the wrong dose of medication were common. Older age, polypharmacy, low and medium adherence, and an increase in the number of comorbidities and information sources used for MedRec are significantly associated with UMDs. Pharmacists' interventions were mostly acceptable. Thus, the implementation of pharmacists-led MedRec in the two hospitals is indispensable for patient safety. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08628-5. |
format | Online Article Text |
id | pubmed-9571466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95714662022-10-17 Unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation Moges, Tilaye Arega Akalu, Temesgen Yihunie Sema, Faisel Dula BMC Health Serv Res Research BACKGROUND: Medication reconciliation (MedRec) is a widely accepted tool for the identification and resolution of unintended medication discrepancies (UMD). OBJECTIVE: This study aimed at assessing the magnitude and associated factors of UMD identified through medication reconciliation upon patient admission to the internal medicine wards. METHODS: Prospective cross-sectional study was conducted at the internal medicine wards of Felege Hiwot and Tibebe Ghion comprehensive specialized hospitals in Bahir Dar city, Northwest Ethiopia, from May 01 to July 30, 2021. Data were collected by using a data abstraction format prepared based on standard MedRec tools and previous studies on medication discrepancy. Pharmacists-led MedRec was made by following the WHO High5s “retroactive medication reconciliation model”. SPSS® (IBM Corporation) version 25.0 was used to analyze the data with descriptive and inferential statistics. A binary logistic regression analysis was used to identify factors associated with UMD. A statistical significance was declared at a p-value < 0.05. RESULTS: Among 635 adult patients, 248 (39.1%) of them had at least one UMD. The most frequent types of UMDs were omission (41.75%) and wrong dose (21.9%). The majority (75.3%) of pharmacists’ interventions were accepted. Polypharmacy at admission (p-value < 0.001), age ≥ 65 (p-value = 0.001), a unit increase on the number of comorbidities (p-value = 0.008) and information sources used for MedRec (p-value < 0.001), and medium (p-value = 0.019) and low adherence (p-value < 0.001) were significantly associated with UMD. CONCLUSION: The magnitude of UMD upon patient admission to the internal medicine wards was considerably high. Omission and the wrong dose of medication were common. Older age, polypharmacy, low and medium adherence, and an increase in the number of comorbidities and information sources used for MedRec are significantly associated with UMDs. Pharmacists' interventions were mostly acceptable. Thus, the implementation of pharmacists-led MedRec in the two hospitals is indispensable for patient safety. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08628-5. BioMed Central 2022-10-15 /pmc/articles/PMC9571466/ /pubmed/36243696 http://dx.doi.org/10.1186/s12913-022-08628-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Moges, Tilaye Arega Akalu, Temesgen Yihunie Sema, Faisel Dula Unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation |
title | Unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation |
title_full | Unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation |
title_fullStr | Unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation |
title_full_unstemmed | Unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation |
title_short | Unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation |
title_sort | unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571466/ https://www.ncbi.nlm.nih.gov/pubmed/36243696 http://dx.doi.org/10.1186/s12913-022-08628-5 |
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