Evidence map›Paper›PMID 33175638›Full record

ArticleJournal of medical screening2021

Maximising the acceptability of extended time intervals between screens in the NHS Cervical Screening Programme: An online experimental study.

Emily Hill, Martin Nemec, Laura Marlow, Susan Mary Sherman, Jo Waller

Abstract read
In one paragraph

Article in Journal of medical screening, 2021. 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

5 authors.

Emily HillDepartment of Behavioural Science and Health, Institute of Epidemiology and Health Care, UCL, London, UK.
Martin NemecCancer Prevention Group, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.
Laura MarlowDepartment of Behavioural Science and Health, Institute of Epidemiology and Health Care, UCL, London, UK.
Susan Mary ShermanSchool of Psychology, Keele University, Keele, UK.
Jo WallerDepartment of Behavioural Science and Health, Institute of Epidemiology and Health Care, UCL, London, UK.ORCID 0000-0003-4025-9132

Funding

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

Abstract

objectiveThe NHS Cervical Screening Programme plans to increase the screening interval from 3 to 5 years for women aged 25-49 who test negative for human papillomavirus (HPV). This exploratory cross-sectional online survey tested the impact of different levels of information about the proposed change on acceptability of a longer interval.

methodsWomen aged 18-45 (n = 585) were individually randomised to one of three information exposure groups differing in the level of information provided about the screening interval change: (1) basic information; (2) basic information with additional detail about timeline of HPV infection; (3) as (2) but with the addition of a diagram. Acceptability of the change (

resultsWomen in Group 3 had higher scores on the

conclusionsOverall, acceptability of an increased screening interval was moderate, but providing women with information about the safety and rationale for this change may improve acceptability. In particular, communicating the long timeline from HPV exposure to cervical cancer may reassure women about the safety of the proposed changes.

Indexed as

Papillomavirus InfectionsUterine Cervical NeoplasmsCross-Sectional StudiesEarly Detection of CancerFemaleHumansMass ScreeningPapillomaviridaeState MedicineVaginal SmearsacceptabilityCancer communicationcervical cancerhuman papillomavirushuman papillomavirus primary screeninginformation provision

Identifiers

PMID33175638
PMCPMC8366181

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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.