Evidence map›Paper›PMID 30541821›Full record

ArticleCanadian family physician Medecin de famille canadien2018

Drug samples in family medicine teaching units: a cross-sectional descriptive study: Part 3: availability and use of drug samples in Quebec.

Marie-Thérèse Lussier, Fatoumata Binta Diallo, Pierre Pluye, Roland Grad, Andréa Lessard, Caroline Rhéaume, Michel Labrecque

Abstract read
In one paragraph

Article in Canadian family physician Medecin de famille canadien, 2018. 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
–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

2 citing papers in PubMed.

  1. Reflective practice.Canadian family physician Medecin de famille canadien · 2018
    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

7 authors.

Marie-Thérèse LussierFull Professor in the Department of Family Medicine and Emergency Medicine at the University of Montreal in Quebec, a member of the Équipe de recherche en soins de première ligne of the Centre intégré de santé et de services sociaux de Laval, Director of the University of Montreal Primary Care Research Network, Regional Network Director for the Canadian Primary Care Sentinel Surveillance Network in Quebec, and a teacher and practising physician at the Cité de la Santé Family Medicine Teaching Unit.
Fatoumata Binta DialloResearch coordinator in the Équipe de recherche en soins de première ligne of the Centre intégré de santé et de services sociaux de Laval and at the Cité de la Santé Family Medicine Teaching Unit. fabinta2@gmail.com.
Pierre PluyeProfessor in the Department of Family Medicine at McGill University in Montreal.
Roland GradFamily physician in the Herzl Family Practice Centre in Montreal and Associate Professor in the Department of Family Medicine at McGill University.
Andréa LessardClinical scientist in the Department of Family Medicine and Emergency Medicine at the University of Sherbrooke in Quebec and at the Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-Saint-Jean in Quebec.
Caroline RhéaumeClinical researcher in the Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec and in the Department of Family Medicine and Emergency Medicine at Laval University.
Michel LabrecqueProfessor Emeritus in the Department of Family Medicine and Emergency Medicine at Laval University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo draw a portrait of drug sample distribution and to assess the concordance between drug samples distributed and the medical problems encountered in the ambulatory primary health care setting.

designDescriptive cross-sectional survey. A self-administered questionnaire was distributed to all health care professionals (HCPs) in family medicine teaching units (FMTUs) that kept drug samples between February and December 2013.

settingAll 33 FMTUs that kept drug samples in Quebec.

participantsHealth care professionals authorized to hand out drug samples (practising physicians, residents, pharmacists, and nurses), and managers of drug sample cabinets.

main outcome measuresDispensing practices of HCPs; number of doses of each drug contained in the sample cabinets; total market value of the samples; concordance between the drug sample categories made available and the most common medical problems encountered in primary care; and data on safe handling, ethical issues, effect of the pharmaceutical industry on prescribing behaviour, and inventory of samples.

resultsAmong 859 HCPs, 579 (67%) reported dispensing drug samples. A large proportion of dispensers (88%) were unable to find the specific drug they sought and half of them (51%) provided the patients with a drug sample even if it was not their first choice for treatment. The drug sample cabinet inventory revealed products from 292 different companies and identified a total of 382 363 medication doses for a total value of $201 872. We found gaps among types of drugs provided to patients, those the HCPs would consider useful, and those available in the cabinets.

conclusionDrug samples available in FMTUs do not meet the needs of many patients and HCPs, suggesting that the main driving force for drug sample distribution is not patient care. Policies on drug samples in FMTUs should be uniform across the province, and management should be as strict as in community pharmacies. Otherwise, prohibiting their use should be considered.

Indexed as

Cross-Sectional StudiesDrug IndustryDrug UtilizationFamily PracticeHealth PersonnelHumansPractice Patterns, Physicians'Primary Health CareQuebecSurveys and Questionnaires

Identifiers

PMID30541821
PMCPMC6371885

What OpenQuestion holds

Textmetadata
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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.