Evidence map›Paper›PMID 32718319›Full record

ArticleBMC health services research2020

Social inequalities in cervical cancer screening: a discrete choice experiment among French general practitioners and gynaecologists.

Thibaut Raginel, Guillaume Grandazzi, Guy Launoy, Mélanie Trocmé, Véronique Christophe, Célia Berchi, Lydia Guittet

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Organized Breast and Cervical Cancer Screening: Attendance and Determinants in Rural China.International journal of environmental research and public health · 2022
    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 at 2 institutions in 1 country.

Thibaut RaginelNORMANDIE UNIV, UNICAEN, INSERM, ANTICIPE, 14000, Caen, France. thibaut.raginel@unicaen.fr.ORCID http://orcid.org/0000-0003-1598-9221
Guillaume GrandazziNORMANDIE UNIV, UNICAEN, INSERM, ANTICIPE, 14000, Caen, France.
Guy LaunoyNORMANDIE UNIV, UNICAEN, INSERM, ANTICIPE, 14000, Caen, France.
Mélanie TrocméUniv. Lille, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, F-59000, Lille, France.
Véronique ChristopheUniv. Lille, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, F-59000, Lille, France.
Célia BerchiNORMANDIE UNIV, UNICAEN, INSERM, ANTICIPE, 14000, Caen, France.
Lydia GuittetNORMANDIE UNIV, UNICAEN, INSERM, ANTICIPE, 14000, Caen, France.
Inserm · FRUniversité de Lille · FR

Funding

Institut National Du Cancer 2011-118
6 · The paper itself

Abstract

backgroundCervical cancer screening is effective in reducing mortality due to uterine cervical cancer (UCC). However, inequalities in participation in UCC screening exist, especially according to age and social status. Considering the current situation in France regarding the ongoing organized UCC screening campaign, we aimed to assess general practitioners' (GPs) and gynaecologists' preferences for actions designed to reduce screening inequalities.

methodsFrench physicians' preferences to UCC screening modalities was assessed using a discrete choice experiment. A national cross-sectional questionnaire was sent between September and October 2014 to 500 randomly selected physicians, and numerically to all targeted physicians working in the French region Midi-Pyrénées. Practitioners were offered 11 binary choices of organized screening scenarios in order to reduce inequalities in UCC screening participation. Each scenario was based on five attributes corresponding to five ways to enhance participation in UCC screening while reducing screening inequalities.

resultsAmong the 123 respondents included, practitioners voted for additional interventions targeting non-screened women overall (p <  0.05), including centralized invitations sent from a central authority and involving the mentioned attending physician, or providing attending physicians with the lists of unscreened women among their patients. However, they rejected the specific targeting of women over 50 years old (p <  0.01) or living in deprived areas (p <  0.05). Only GPs were in favour of allowing nurses to perform Pap smears, but both GPs and gynaecologists rejected self-collected oncogenic papillomavirus testing.

conclusionsFrench practitioners tended to value the traditional principle of universalism. As well as rejecting self-collected oncogenic papillomavirus testing, their reluctance to support the principle of proportionate universalism relying on additional interventions addressing differences in socioeconomic status needs further evaluation. As these two concepts have already been recommended as secondary development leads for the French national organized screening campaign currently being implemented, the adherence of practitioners and the adaptation of these concepts are necessary conditions for reducing inequalities in health care.

Indexed as

AdultAgedCross-Sectional StudiesEarly Detection of CancerFemaleFranceGeneral PractitionersHealthcare DisparitiesHumansMass ScreeningMiddle AgedPapanicolaou TestPapillomaviridaeSocioeconomic FactorsSurveys and QuestionnairesUterine Cervical NeoplasmsChoice behaviorEarly detection of cancerGeneral practitionersHealthcare disparitiesPrimary health careUterine cervical neoplasms

Identifiers

PMID32718319
PMCPMC7385880
OpenAlexW3046117310

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.