Evidence map›Paper›PMID 30185577›Full record

ArticleBMJ open2018

Identifying important health system factors that influence primary care practitioners' referrals for cancer suspicion: a European cross-sectional survey.

Michael Harris, Peter Vedsted, Magdalena Esteva, Peter Murchie, Isabelle Aubin-Auger, Joseph Azuri, Mette Brekke, Krzysztof Buczkowski, Nicola Buono, Emiliana Costiug and 17 more

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Hidden systems in primary care cancer detection: an embedded qualitative intervention development study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
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  11. Women's experiences along the ovarian cancer diagnostic pathway in Catalonia: A qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2023
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  15. Observational
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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

27 authors.

Michael HarrisDepartment for Health, University of Bath, Bath, UK.ORCID 0000-0002-7166-2971
Peter VedstedResearch Unit for General Practice, Aarhus University, Aarhus, Denmark.
Magdalena EstevaResearch Unit, Majorca Primary Health Care Department, Balearic Islands Health Research Institute (IdISBa), Palma, Spain.
Peter MurchieDivision of Applied Health Sciences-Academic Primary Care, University of Aberdeen, Aberdeen, UK.ORCID 0000-0001-9968-5991
Isabelle Aubin-AugerDepartment of General Practice, Université Paris Diderot, Paris, France.
Joseph AzuriDepartment of Family Medicine, Sackler Medical School, Tel Aviv University, Tel Aviv, Israel.
Mette BrekkeDepartment of General Practice and General Practice Research Unit, University of Oslo, Oslo, Norway.
Krzysztof BuczkowskiDepartment of Family Medicine, Nicolaus Copernicus University, Toruń, Poland.
Nicola BuonoDepartment of General Practice, National Society of Medical Education in General Practice (SNaMID), Caserta, Italy.
Emiliana CostiugFamily Medicine Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Geert-Jan DinantDepartment of General Practice, Maastricht University, Maastricht, The Netherlands.
Gergana ForevaMedical Center BROD, Plovdiv, Bulgaria.
Svjetlana Gašparović BabićOdjel Socijalne Medicine, The Teaching Institute of Public Health of Primorsko-goranska County, Rijeka, Croatia.
Robert HoffmanDepartment of Family Medicine, Sackler Medical School, Tel Aviv University, Tel Aviv, Israel.
Eva JakobPrimary Health Centre, Centro de Saúde Sarria, Sarria, Spain.
Tuomas H KoskelaDepartment of General Practice, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.
Mercè Marzo-CastillejoUnitat de Suport a la Recerca, IDIAP Jordi Gol, Institut Catala De La Salut, Barcelona, Spain.
Ana Luísa NevesCentre for Health Policy, Institute of Global Health Innovation, Imperial College London, London, UK.
Davorina PetekDepartment of Family Medicine, University of Ljubljana, Ljubljana, Slovenia.
Marija Petek SterDepartment of Family Medicine, University of Ljubljana, Ljubljana, Slovenia.
Jolanta Sawicka-PowierzaDepartment of Family Medicine, Medical University of Bialystok, Bialystok, Poland.
Antonius SchneiderInstitute of General Practice and Health Services Research, Technische Universität München, Munich, Germany.
Emmanouil SmyrnakisLaboratory of Primary Health Care, General Practice and Health Services Research, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Sven StreitInstitute of Primary Health Care Bern (BIHAM), University of Bern, Bern, Switzerland.
Hans ThulesiusDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Birgitta WeltermannInstitute for Family Medicine and General Practice, University of Bonn, Bonn, Germany.
Gordon TaylorDepartment for Health, University of Bath, Bath, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCancer survival and stage of disease at diagnosis and treatment vary widely across Europe. These differences may be partly due to variations in access to investigations and specialists. However, evidence to explain how different national health systems influence primary care practitioners' (PCPs') referral decisions is lacking.This study analyses health system factors potentially influencing PCPs' referral decision-making when consulting with patients who may have cancer, and how these vary between European countries.

designBased on a content-validity consensus, a list of 45 items relating to a PCP's decisions to refer patients with potential cancer symptoms for further investigation was reduced to 20 items. An online questionnaire with the 20 items was answered by PCPs on a five-point Likert scale, indicating how much each item affected their own decision-making in patients that could have cancer. An exploratory factor analysis identified the factors underlying PCPs' referral decision-making.

settingA primary care study; 25 participating centres in 20 European countries.

participants1830 PCPs completed the survey. The median response rate for participating centres was 20.7%. OUTCOME MEASURES: The factors derived from items related to PCPs' referral decision-making. Mean factor scores were produced for each country, allowing comparisons.

resultsFactor analysis identified five underlying factors: PCPs' ability to refer; degree of direct patient access to secondary care; PCPs' perceptions of being under pressure; expectations of PCPs' role; and extent to which PCPs believe that quality comes before cost in their health systems. These accounted for 47.4% of the observed variance between individual responses.

conclusionsFive healthcare system factors influencing PCPs' referral decision-making in 20 European countries were identified. The factors varied considerably between European countries. Knowledge of these factors could assist development of health service policies to produce better cancer outcomes, and inform future research to compare national cancer diagnostic pathways and outcomes.

Indexed as

Clinical Decision-MakingPhysicians, Primary CareReferral and ConsultationCross-Sectional StudiesEuropeFactor Analysis, StatisticalFemaleHealth Services AccessibilityHumansMaleNeoplasmsPhysician's RoleQuality of Health CareSurveys and QuestionnairesWorkloadcancerconsultation and referraldecision makingdelivery of health caregeneral practitionersprimary health care

Identifiers

PMID30185577
PMCPMC6129106

What OpenQuestion holds

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LicenceCC BY-NC
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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.