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

被引:1
作者
Gonzalez-Munguia, Silvia [1 ,2 ]
Munguia-Lopez, Obdulia [3 ]
Sanchez, Esther Sanchez [3 ]
机构
[1] Hosp Univ Nuestra Senora Candelaria, Serv Farm, Carretera Gen Rosario, 145, Santa Cruz De Tenerife 38010, Tenerife, Spain
[2] Univ Laguna, Programa Doctorado Ciencias Salud, San Cristobal De La Lagun 38200, Tenerife, Spain
[3] Univ Laguna, Fac Farm, Dept Ingn Quim & Tecnol Farmaceut, UD Farm & Tecnol Farmaceut, San Cristobal De La Lagun 38200, Tenerife, Spain
关键词
Falls; Elderly; Polypharmacy; Inappropriate prescribing; RStudio & REG; OLDER-PEOPLE; UNITED-STATES; METAANALYSIS; MEDICATION; CRITERIA; BENZODIAZEPINES; INTERVENTIONS; PREVALENCE; FRACTURES; INJURIES;
D O I
10.1016/j.heliyon.2023.e17079
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 (R) .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 (R) 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 dispen-sation 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% anti -psychotics. 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 (R) 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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页数:9
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