Evidence map›Paper›PMID 29739409›Full record

ArticleBMC health services research2018

How health system factors affect primary care practitioners' decisions to refer patients for further investigation: protocol for a pan-European ecological study.

Michael Harris, Gordon Taylor, Örenäs Research Group

Abstract read
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

3 authors.

Michael HarrisDepartment for Health, University of Bath, Claverton Down, Bath, BA2 7AY, UK. michaelharris681@btinternet.com.ORCID 0000-0002-7166-2971
Gordon TaylorDepartment for Health, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Örenäs Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is wide variation in the overall one-year relative cancer survival rates across Europe, and this is thought to indicate national variations in stage of disease at diagnosis. However, there is little evidence to explain how different national systems influence a primary care practitioner's (PCP's) referral decisions, and how these relate to the variation in survival rates. This study investigates the health system factors that influence the thinking of PCPs when faced with patients who may have cancer, how they compare across European countries, and how they relate to national one-year relative cancer relative survival rates.

methodsAn online quantitative questionnaire with closed-ended questions is used in a cross-sectional survey of 1250 PCPs in Europe, in 25 local health areas in 20 countries. Descriptive data are elicited for each country, including respondents' demographic details. An exploratory factor analysis will identify factors underlying the decision to refer patients for further investigations. Between-country variation in these factors will then be further investigated and presented as means with 95% confidence intervals. A regression model will be fitted for the vignettes using one-year relative survival as the outcome, with the proportion of PCPs opting to investigate as a single explanatory variable. Weighted regression will be used to explore which health system factors are associated with opting to investigate and with one-year relative survival. Linear correlations will be estimated between the proportions opting to investigate and national survival rates. When comparing between countries, weighted linear regression will be used to adjust for different sample sizes in each country. DISCUSSION: This study investigates which system factors affect PCPs' decisions to refer and investigate patients who may have cancer, how they compare across 20 European countries, and how these factors relate to cancer survival rates. Knowledge of the extent and variability of the health system factors that affect referral decisions will inform future health service design, policy and research.

Indexed as

Primary Health CareCross-Sectional StudiesEuropeGovernment ProgramsHumansNeoplasmsReferral and ConsultationResearch DesignSurveys and QuestionnairesSurvival RateCancerDecision makingDelivery of health careDiagnosisPrimary health careSurvival

Identifiers

PMID29739409
PMCPMC5941333

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Registered trials

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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.