Evidence map›Paper›PMID 37383189›Full record

ArticleHeliyon2023

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

Silvia González-Munguía, Obdulia Munguía-López, Esther Sánchez Sánchez

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 51% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Silvia González-MunguíaHospital Universitario Nuestra Señora de la Candelaria. Servicio de Farmacia. Carretera General del Rosario, 145 Santa Cruz de Tenerife, 38010 Tenerife, Spain.
Obdulia Munguía-LópezDepartamento de Ingeniería Química y Tecnología Farmacéutica, UD Farmacia y Tecnologia Farmacéutica. Facultad de Farmacia, Universidad de La Laguna, 38200 San Cristóbal de La Laguna. Tenerife, Spain.
Esther Sánchez SánchezDepartamento de Ingeniería Química y Tecnología Farmacéutica, UD Farmacia y Tecnologia Farmacéutica. Facultad de Farmacia, Universidad de La Laguna, 38200 San Cristóbal de La Laguna. Tenerife, Spain.
Universidad de La Laguna · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

ElderlyFallsInappropriate prescribingPolypharmacyRStudio®

Identifiers

PMID37383189
PMCPMC10293665
OpenAlexW4380985803

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.