Evidence map›Paper›PMID 29145813›Full record

Trial reportBMC public health2017

Impact of a decision aid about stratified ovarian cancer risk-management on women's knowledge and intentions: a randomised online experimental survey study.

Susanne F Meisel, Maddie Freeman, Jo Waller, Lindsay Fraser, Sue Gessler, Ian Jacobs, Jatinderpal Kalsi, Ranjit Manchanda, Belinda Rahman, Lucy Side and 4 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2017. 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
5.2field-weighted citation impact, top 4% 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, 12 citations in OpenAlex.

  1. Review
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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

14 authors at 4 institutions in 2 countries.

Susanne F MeiselDepartment of Behavioural Science and Health, University College London, London, UK.
Maddie FreemanDepartment of Behavioural Science and Health, University College London, London, UK.
Jo WallerDepartment of Behavioural Science and Health, University College London, London, UK.
Lindsay FraserDepartment of Women's Cancer, Institute for Women's Health, University College London, London, UK.
Sue GesslerDepartment of Women's Cancer, Institute for Women's Health, University College London, London, UK.
Ian JacobsUniversity of New South Wales, Sydney, NSW, Australia.
Jatinderpal KalsiDepartment of Women's Cancer, Institute for Women's Health, University College London, London, UK.
Ranjit ManchandaDepartment of Women's Cancer, Institute for Women's Health, University College London, London, UK.
Belinda RahmanDepartment of Women's Cancer, Institute for Women's Health, University College London, London, UK.
Lucy SideUniversity College Southampton, Southampton, UK.
Jane WardleDepartment of Behavioural Science and Health, University College London, London, UK.
Anne LanceleyDepartment of Women's Cancer, Institute for Women's Health, University College London, London, UK.
Saskia C SandersonDepartment of Behavioural Science and Health, University College London, London, UK. saskia.sanderson@ucl.ac.uk.
PROMISE team
University College London · GBGreat Ormond Street Hospital · GBUNSW Sydney · AUKing's College London · GB

Funding

Cancer Research UK 12677Cancer Research UK C1005/A12677
6 · The paper itself

Abstract

backgroundRisk stratification using genetic and other types of personal information could improve current best available approaches to ovarian cancer risk reduction, improving identification of women at increased risk of ovarian cancer and reducing unnecessary interventions for women at lower risk. Amounts of information given to women may influence key informed decision-related outcomes, e.g. knowledge. The primary aim of this study was to compare informed decision-related outcomes between women given one of two versions (gist vs. extended) of a decision aid about stratified ovarian cancer risk-management.

methodsThis was an experimental survey study comparing the effects of brief (gist) information with lengthier, more detailed (extended) information on cognitions relevant to informed decision-making about participating in risk-stratified ovarian cancer screening. Women with no personal history of ovarian cancer were recruited through an online survey company and randomised to view the gist (n = 512) or extended (n = 519) version of a website-based decision aid and completed an online survey. Primary outcomes were knowledge and intentions. Secondary outcomes included attitudes (values) and decisional conflict.

resultsThere were no significant differences between the gist and extended conditions in knowledge about ovarian cancer (time*group interaction: F = 0.20, p = 0.66) or intention to participate in ovarian cancer screening based on genetic risk assessment (t(1029) = 0.43, p = 0.67). There were also no between-groups differences in secondary outcomes. In the sample overall (n = 1031), knowledge about ovarian cancer increased from before to after exposure to the decision aid (from 5.71 to 6.77 out of a possible 10: t = 19.04, p < 0.001), and 74% of participants said that they would participate in ovarian cancer screening based on genetic risk assessment.

conclusionsNo differences in knowledge or intentions were found between women who viewed the gist version and women who viewed the extended version of a decision aid about risk-stratified ovarian cancer screening. Knowledge increased for women in both decision aid groups. Further research is needed to determine the ideal volume and type of content for decision aids about stratified ovarian cancer risk-management. TRIAL REGISTRATIONS: This study was registered with the ISRCTN registry; registration number: ISRCTN48627877 .

Indexed as

Decision Support TechniquesHealth Knowledge, Attitudes, PracticeIntentionAdolescentAdultAgedDecision MakingEarly Detection of CancerFemaleGenetic Predisposition to DiseaseHumansInternetMiddle AgedOvarian NeoplasmsRisk FactorsSurveys and Questionnaires

Identifiers

PMID29145813
PMCPMC5689140
OpenAlexW2768862781

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.