Evidence map›Paper›PMID 33825769›Full record

ArticleSao Paulo medical journal = Revista paulista de medicina

Physician and patient-related factors associated with inappropriate prescribing to older patients within primary care: a cross-sectional study in Brazil.

Welma Wildes Amorim, Luiz Carlos Passos, Romana Santos Gama, Renato Morais Souza, Lucas Teixeira Graia, Jéssica Caline Macedo, Djanilson Barbosa Santos, Marcio Galvão Oliveira

Abstract read
In one paragraph

Article in Sao Paulo medical journal = Revista paulista de medicina. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

8 authors.

Welma Wildes AmorimMD, PhD. Internal Medicine Professor, Medicine Course, Department of Natural Sciences, Vitória da Conquista Campus, Universidade Estadual do Sudoeste da Bahia (UESB), Vitória da Conquista (BA), Brazil.ORCID http://orcid.org/0000-0001-6964-892X
Luiz Carlos PassosMD, PhD. Internal Medicine Professor, Postgraduate Program on Medicine and Health, Department of Internal Medicine, Universidade Federal da Bahia (UFBA), Salvador (BA), Brazil.ORCID http://orcid.org/0000-0001-7608-1482
Romana Santos GamaBPharm. Master's Student, Postgraduate Program on Medicine and Health, Universidade Federal da Bahia (UFBA), Salvador (BA), Brazil.ORCID http://orcid.org/0000-0002-1677-1251
Renato Morais SouzaBPharm. Research Assistant, Multidisciplinary Health Institute, Anísio Teixeira Campus, Universidade Federal da Bahia (UFBA), Vitória da Conquista (BA), Brazil.ORCID http://orcid.org/0000-0003-1075-6410
Lucas Teixeira GraiaBPharm. Research Assistant, Multidisciplinary Health Institute, Anísio Teixeira Campus, Universidade Federal da Bahia (UFBA), Vitória da Conquista (BA), Brazil.ORCID http://orcid.org/0000-0002-4979-9373
Jéssica Caline MacedoBPharm. Master's Student, Master's Program on Collective Health, Multidisciplinary Health Institute, Anísio Teixeira Campus, Universidade Federal da Bahia (UFBA), Vitória da Conquista (BA), Brazil.ORCID http://orcid.org/0000-0003-4464-6359
Djanilson Barbosa SantosPhD. Epidemiology Professor, Department of Collective Health, Universidade Federal do Recôncavo da Bahia (UFRB), Santo Antônio de Jesus (BA), Brazil.ORCID http://orcid.org/0000-0002-2638-9275
Marcio Galvão OliveiraBPharm, PhD. Evidence-Based Healthcare Professor, Master's Program on Collective Health, Multidisciplinary Health Institute, Anísio Teixeira Campus, Universidade Federal da Bahia, Vitória da Conquista (BA), Brazil.ORCID http://orcid.org/0000-0001-5281-7889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysician and patient-related characteristics can influence prescription of medications to older patients within primary healthcare. Use of Brazilian criteria may indicate the real prevalence of prescription of potentially inappropriate medications to this population.

objectivesTo evaluate prescription of potentially inappropriate medications to older patients within primary care and identify patient-related and prescribing physician-related factors. DESIGN AND

settingThis cross-sectional study was conducted in 22 public primary care facilities in Brazil, among older people (≥ 60 years) who were waiting for medical consultations.

methodsInterviews were conducted before and after the medical consultations. If the patient received a medical prescription at the consultation, all the drugs prescribed and the physician's medical council registration number were recorded. Prevalence ratios were estimated to ascertain the magnitude of prescription of potentially inappropriate medications, along with patient and physician-related factors associated with such prescription.

resultsIn total, 417 older patients were included; 45.3% had received ≥ 1 potentially inappropriate medication, and 86.8% out of 53 physicians involved had prescribed ≥ 1 potentially inappropriate medication. The strongest patient-related factor associated with higher prevalence of prescription of potentially inappropriate medications was polypharmacy. Among physician-related factors, the number of patients attended, number of prescriptions and length of medical practice < 10 years were positively associated with prescription of potentially inappropriate medications.

conclusionsHigh prevalence of prescription of potentially inappropriate medications was observed. Physician-related characteristics can influence prescription of medications to older people within primary healthcare. This suggests that there is a need for interventions among all physicians, especially younger physicians.

Indexed as

Inappropriate PrescribingPhysiciansAgedBrazilCross-Sectional StudiesHumansPolypharmacyPrimary Health Care

Identifiers

PMID33825769
PMCPMC9632519

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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.