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Pharmacist comprehensive review of fall-risk-increasing drugs and polypharmacy in elderly Spanish community patients using RStudio®

OBJECTIVE: The aim of this study is to identify and analyze adults aged ≥65 years living in the Canary Islands, Spain, who are prescribed medications that increase the risk of falls and are polymedicated. To do so we have made use of the electronic prescription and the RStudio®. METHOD: For the dete...

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Autores principales: González-Munguía, Silvia, Munguía-López, Obdulia, Sánchez Sánchez, Esther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293665/
https://www.ncbi.nlm.nih.gov/pubmed/37383189
http://dx.doi.org/10.1016/j.heliyon.2023.e17079
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author González-Munguía, Silvia
Munguía-López, Obdulia
Sánchez Sánchez, Esther
author_facet González-Munguía, Silvia
Munguía-López, Obdulia
Sánchez Sánchez, Esther
author_sort González-Munguía, Silvia
collection PubMed
description OBJECTIVE: The aim of this study is to identify and analyze adults aged ≥65 years living in the Canary Islands, Spain, who are prescribed medications that increase the risk of falls and are polymedicated. To do so we have made use of the electronic prescription and the RStudio®. METHOD: For the detection of Fall-Risk-Increasing Drugs (FRIDs), outpatient electronic prescription dispensing data were used in two pharmacies. A total of 118,890 dispensations grouped into 15,601 treatment plans for 2,312 patients were analyzed. The FRIDs analyzed were antipsychotics (APSI), benzodiazepines (BZPN), antidepressants (DEPR), opioids (OPIO) and Z-hypnotics (ZHIP). For the development of the algorithms for the construction of tables and data screening, the statistical programming language RStudio® was used. RESULTS: Of the total number of patients and prescriptions analyzed, 46.6% were polymedicated and 44.3% had prescribed an FRID. 28.7% of the patients presented both factors, had a dispensation from an FRID and were polymedicated. Of the 14,278 dispensations with FRID, 49% had a benzodiazepine, 22.7% opioids, 18% antidepressants, 5.6% hypnotics, and finally 4.4% antipsychotics. At least 32% of the patients had been dispensed a benzodiazepine together with another FRID and 23% an opioid together with another FRID. CONCLUSIONS: The method of analysis developed and applied in RStudio® allows to detect and determine in a simple and fast way polymedicated patients, as well as the number and therapeutic class of drugs in their treatment plan and identify prescriptions that can increase the risk of falls. Our results show a high number of prescriptions for benzodiazepines and opioids.
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spelling pubmed-102936652023-06-28 Pharmacist comprehensive review of fall-risk-increasing drugs and polypharmacy in elderly Spanish community patients using RStudio® González-Munguía, Silvia Munguía-López, Obdulia Sánchez Sánchez, Esther Heliyon Research Article OBJECTIVE: The aim of this study is to identify and analyze adults aged ≥65 years living in the Canary Islands, Spain, who are prescribed medications that increase the risk of falls and are polymedicated. To do so we have made use of the electronic prescription and the RStudio®. METHOD: For the detection of Fall-Risk-Increasing Drugs (FRIDs), outpatient electronic prescription dispensing data were used in two pharmacies. A total of 118,890 dispensations grouped into 15,601 treatment plans for 2,312 patients were analyzed. The FRIDs analyzed were antipsychotics (APSI), benzodiazepines (BZPN), antidepressants (DEPR), opioids (OPIO) and Z-hypnotics (ZHIP). For the development of the algorithms for the construction of tables and data screening, the statistical programming language RStudio® was used. RESULTS: Of the total number of patients and prescriptions analyzed, 46.6% were polymedicated and 44.3% had prescribed an FRID. 28.7% of the patients presented both factors, had a dispensation from an FRID and were polymedicated. Of the 14,278 dispensations with FRID, 49% had a benzodiazepine, 22.7% opioids, 18% antidepressants, 5.6% hypnotics, and finally 4.4% antipsychotics. At least 32% of the patients had been dispensed a benzodiazepine together with another FRID and 23% an opioid together with another FRID. CONCLUSIONS: The method of analysis developed and applied in RStudio® allows to detect and determine in a simple and fast way polymedicated patients, as well as the number and therapeutic class of drugs in their treatment plan and identify prescriptions that can increase the risk of falls. Our results show a high number of prescriptions for benzodiazepines and opioids. Elsevier 2023-06-13 /pmc/articles/PMC10293665/ /pubmed/37383189 http://dx.doi.org/10.1016/j.heliyon.2023.e17079 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
González-Munguía, Silvia
Munguía-López, Obdulia
Sánchez Sánchez, Esther
Pharmacist comprehensive review of fall-risk-increasing drugs and polypharmacy in elderly Spanish community patients using RStudio®
title Pharmacist comprehensive review of fall-risk-increasing drugs and polypharmacy in elderly Spanish community patients using RStudio®
title_full Pharmacist comprehensive review of fall-risk-increasing drugs and polypharmacy in elderly Spanish community patients using RStudio®
title_fullStr Pharmacist comprehensive review of fall-risk-increasing drugs and polypharmacy in elderly Spanish community patients using RStudio®
title_full_unstemmed Pharmacist comprehensive review of fall-risk-increasing drugs and polypharmacy in elderly Spanish community patients using RStudio®
title_short Pharmacist comprehensive review of fall-risk-increasing drugs and polypharmacy in elderly Spanish community patients using RStudio®
title_sort pharmacist comprehensive review of fall-risk-increasing drugs and polypharmacy in elderly spanish community patients using rstudio®
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293665/
https://www.ncbi.nlm.nih.gov/pubmed/37383189
http://dx.doi.org/10.1016/j.heliyon.2023.e17079
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