Evidence map›Paper›PMID 38191317›Full record

Trial reportBMC geriatrics2024

Using a mobile application to reduce potentially inappropriate prescribing for older Brazilian adults in primary care: a triple-blind randomised clinical trial.

Welma Wildes Amorim, Luiz Carlos Passos, Romana Santos Gama, Renato Morais Souza, Pablo Moura Santos, Jéssica Caline Macedo, Hévila Maciel Queiroga, Larissa Gusmão Nunes, Lavínia Mendonça Fraga, Brunna Santos Oliveira and 2 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02918643 (Development and Evaluation of the Use of a Mobile Application as a Support at the Prescription of Appropriate Medications for Elderly), which is not on this map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 13% 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.

NCT02918643 nacompletednot on this map

Development and Evaluation of the Use of a Mobile Application as a Support at the Prescription of Appropriate Medications for Elderly

TypeinterventionalSponsorFederal University of BahiaRan2016 to 2019Enrolled30ConditionsInappropriate PrescribingArmsUse of an application to for mobile devices like decision-making support for prescription drugs to elderly patients
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 3 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. 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

12 authors at 3 institutions in 1 country.

Welma Wildes AmorimDepartment of Health, State University of Southwest Bahia, Vitória da Conquista Campus, Vitória da Conquista, Bahia, Brazil. welma.wilde@uesb.edu.br.
Luiz Carlos PassosDepartment of Internal Medicine, Postgraduate Program in Medicine and Health, Federal University of Bahia, Salvador, Bahia, Brazil.
Romana Santos GamaPostgraduate Program in Pharmaceutical Services and Policies, Federal University of Bahia, Salvador, Bahia, Brazil.
Renato Morais SouzaFederal University of Bahia, Vitória da Conquista, Uberlândia, Bahia, Brazil.
Pablo Moura SantosPostgraduate Program in Pharmaceutical Services and Policies, Federal University of Bahia, Salvador, Bahia, Brazil.
Jéssica Caline MacedoMultidisciplinary Institute in Health- Anísio Teixeira Campus, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil.
Hévila Maciel QueirogaMultidisciplinary Institute in Health- Anísio Teixeira Campus, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil.
Larissa Gusmão NunesMultidisciplinary Institute in Health- Anísio Teixeira Campus, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil.
Lavínia Mendonça FragaMultidisciplinary Institute in Health- Anísio Teixeira Campus, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil.
Brunna Santos OliveiraMultidisciplinary Institute in Health- Anísio Teixeira Campus, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil.
Lucas Teixeira GraiaMultidisciplinary Institute in Health- Anísio Teixeira Campus, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil.
Marcio Galvão OliveiraPostgraduate Program in Pharmaceutical Services and Policies, Federal University of Bahia, Salvador, Bahia, Brazil.
Universidade Federal da Bahia · BRInstituto Federal da Bahia · BRSouthwest Bahia State University · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 444841/2014-8Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Financial Code 001Fundação de Amparo à Pesquisa do Estado da Bahia SUS0041/2013
6 · The paper itself

Abstract

backgoundPotentially inappropriate prescribing (PIP) has been evaluated in several countries, and several strategies have been devised for deprescribing drugs in older adults. The aim of this study was to evaluate the efficacy of a mobile application in reducing PIP for older adults in primary care facilities in Brazil.

methodsThis randomised, triple-blind, parallel-group trial was conducted in 22 public primary care facilities in Brazil. During the intervention phase, the general practitioners (GPs) were randomly allocated to the intervention (MPI Brasil app provides information about PIP, therapeutic alternatives and deprescribing) or control (MedSUS app provides general information about medications) group. All GPs were trained on the Clinical Decision-Making Process and how to access an Evidence-Based Health website. The GPs received an Android tablet with an installed mobile application depending on their allocated group, which they used when caring for older patients over at least 3 months. At the end of this period, a sample of older patients aged ≥ 60 years who had been awaiting medical consultation by the participating GPs were interviewed and their prescriptions analysed. The primary outcome was the frequency of PIP in and between the groups.

resultsAmong 53 GPs who were administered the baseline survey, 14 were included in the clinical trial. At baseline, 146 prescriptions were analysed: the PIP overall was 37.7% (55/146), in the intervention group was 40.6% (28/69), and in the control group was 35.1% (27/77). After the intervention, 284 prescriptions were analysed: the PIP overall was 31.7% (90/284), in the intervention group was 32.2% (46/143), and in the control group was 31.2% (44/141) (RR: 1.16; 95% CI, 0.76-1.76). In the within-group analysis, the PIP reduced from before to after the intervention in both groups-more significantly in the intervention than in the control group (p < 0.001). In the stratified analysis of PIP frequency by GPs, there was a relative risk reduction in 86% (6/7) of GPs in the intervention group compared to 71% (5/7) in the control group.

conclusionWe found that the MPI Brasil app effectively reduced PIP, suggesting that it may be useful to incorporate this tool into clinical practice.

trial registrationThe study was registered at ClinicalTrials.gov (NCT02918643). First registration on 22/09/2016.

Indexed as

Inappropriate PrescribingMobile ApplicationsAgedBrazilClinical Decision-MakingHumansPrimary Health CareAgedDeprescribingPotentially inappropriate medicationsPrescription drugsPrimary health care

Identifiers

PMID38191317
PMCPMC10775456
OpenAlexW4390672998

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.