Evidence map›Paper›PMID 29550302›Full record

ArticlePreventive medicine2018

Variation in health beliefs across different types of cervical screening non-participants.

Laura A V Marlow, Rebecca A Ferrer, Amanda J Chorley, Jessica B Haddrell, Jo Waller

Open access · hybridAbstract read
In one paragraph

Article in Preventive medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Prevalence and predictors of medical information avoidance: a systematic review and meta-analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Pooled it
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  13. Psychological factors among Appalachian women with abnormal Pap results.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Article
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  18. How Do Women Interpret the NHS Information Leaflet about Cervical Cancer Screening?Medical decision making : an international journal of the Society for Medical Decision Making · 2019
    Article
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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

5 authors at 3 institutions in 2 countries.

Laura A V MarlowCancer Communication and Screening Group, Department of Behavioural Science and Health, UCL, Gower Street, London WC1E 6BT, United Kingdom. Electronic address: l.marlow@ucl.ac.uk.
Rebecca A FerrerBasic Biobehavioral and Psychological Sciences Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, United States.
Amanda J ChorleyCancer Communication and Screening Group, Department of Behavioural Science and Health, UCL, Gower Street, London WC1E 6BT, United Kingdom.
Jessica B HaddrellCancer Communication and Screening Group, Department of Behavioural Science and Health, UCL, Gower Street, London WC1E 6BT, United Kingdom.
Jo WallerCancer Communication and Screening Group, Department of Behavioural Science and Health, UCL, Gower Street, London WC1E 6BT, United Kingdom.
London Cancer · GBCancer Research UK · GBNational Cancer Institute · US

Funding

Cancer Research UK 17219Cancer Research UK C7492/A17219
6 · The paper itself

Abstract

Understanding factors associated with different types of cancer screening non-participation will help with the development of more targeted approaches for improving informed uptake. This study explored patterns of general health beliefs and behaviour, and cancer-specific beliefs across different types of cervical screening non-participants using the Precaution Adoption Process Model (PAPM). A population-representative sample of women in Britain completed a home-based survey in 2016. Women classified as non-participants (n = 839) completed additional questions about health beliefs. Some general health beliefs and behaviours, as well as cancer-specific beliefs, were associated with particular types of non-participation. For example, those who scored higher on fatalism were more likely to be unaware of screening (OR = 1.74, 95%CI: 1.45-2.08) or unengaged with screening (OR = 1.57, CI: 1.11-2.21). Women with greater deliberative risk perceptions were less likely to be unengaged with screening (OR = 0.74 CI: 02.55-0.99) and less likely to have decided against screening (OR = 0.71, CI: 0.59-0.86). Women who had seen a general practitioner in the last 12 months were less likely to be unaware (OR = 0.49, CI: 0.35-0.69), and those reporting cancer information avoidance were more likely to be unengaged with screening (OR = 2.25, CI: 1.15-4.39). Not wanting to know whether one has cancer was the only factor associated with all types of non-participation. Interventions to raise awareness of screening should include messages that address fatalistic and negative beliefs about cancer. Interventions for women who have decided not to be screened could usefully include messages to ensure the risk of cervical cancer and the relevance and benefits of screening are well communicated.

Indexed as

Health BehaviorHealth Knowledge, Attitudes, PracticeAdultEarly Detection of CancerFemaleHumansMass ScreeningMiddle AgedPatient Acceptance of Health CareSurveys and QuestionnairesUnited KingdomUterine Cervical NeoplasmsAbstainerAttitudesBeliefsCervical screeningIntentionInterventionsPsychologicalTheoryUnawareUptake

Identifiers

PMID29550302
PMCPMC5945192
OpenAlexW2792162954

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.