Evidence map›Paper›PMID 28618140›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2017

How does the side-effect information in patient information leaflets influence peoples' side-effect expectations? A cross-sectional national survey of 18- to 65-year-olds in England.

Rebecca K Webster, John Weinman, G James Rubin

Open access · goldAbstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. A systematic review of factors associated with side-effect expectations from medical interventions.Health expectations : an international journal of public participation in health care and health policy · 2020
    Pooled it
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  3. Optimization of an Information Leaflet to Influence Medication Beliefs in Women With Breast Cancer: A Randomized Factorial Experiment.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2023
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  11. Layperson Views about the Design and Evaluation of Decision Aids: A Public Deliberation.Medical decision making : an international journal of the Society for Medical Decision Making · 2021
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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 at 1 institution in 2 countries.

Rebecca K WebsterNIHR Health Protection Research Unit in Emergency Preparedness and Response, King's College London, London, UK.ORCID 0000-0002-5136-1098
John WeinmanNIHR Health Protection Research Unit in Emergency Preparedness and Response, King's College London, London, UK.
G James RubinNIHR Health Protection Research Unit in Emergency Preparedness and Response, King's College London, London, UK.
King's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo establish how the terms recommended by the European Commission to describe side-effect risk in patient information leaflets (PILs) influences expectations of side-effects and to identify factors associated with these side-effect expectations.

designA cross-sectional online survey was carried out by a market research company.

settingData were collected in England between 18th March and 1st April 2016.

participantsA total of 1003 adults aged between 18 and 65.

main outcome measuresSelf-reported expectation that the described side-effects would affect participants if they took the medicine, measured on a likelihood scale from 1 (very unlikely) to 5 (very likely).

resultsParticipants formed high expectations of side-effects for "very common" and "common" side-effects, with 51.9% and 45.0% of participants rating these as "very likely" or "likely" to happen to them, respectively. This fell to 8.1% for "uncommon," 5.8% for "rare" and 4.1% for "very rare." For each descriptor, higher expectations of side-effects were more associated with women or being from an ethnic minority, or having less education, a household illness, high perceived sensitivity to medicines or negative beliefs about medicines. DISCUSSION: The current use of verbal descriptors to communicate side-effect risk in PILs leads to high side-effect expectations. These expectations could contribute to nocebo-induced medication side-effects experienced by patients. Additional work is required to identify ways to improve the way risk information is conveyed in PILs.

Indexed as

PamphletsAdultConsumer Health InformationCross-Sectional StudiesDrug LabelingDrug-Related Side Effects and Adverse ReactionsEnglandEthnicityFemaleHumansMaleMiddle AgedRisk FactorsSex FactorsSurveys and Questionnairesdescriptorsexpectationspatient information leafletsriskside effects

Identifiers

PMID28618140
PMCPMC5689242
OpenAlexW2614161127

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.