Evidence map›Paper›PMID 19722727›Full record

Trial reportDrug safety2009

Communicating the risk of side effects to patients: an evaluation of UK regulatory recommendations.

Peter Knapp, David K Raynor, Elizabeth Woolf, Peter H Gardner, Neil Carrigan, Brian McMillan

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Drug safety, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 pooled it
5.6field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 5 syntheses or guidelines pooled it, 52 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
  2. Communicating treatment risks and benefits to cancer patients: a systematic review of communication methods.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Pooled it
  3. Pooled it
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  6. The Effect of Including Quantitative Information on Multiple Endpoints in Direct-to-Consumer Prescription Drug Television Advertisements.Medical decision making : an international journal of the Society for Medical Decision Making · 2019
    Trial
  7. Combined verbal and numerical expressions increase perceived risk of medicine side-effects: a randomized controlled trial of EMA recommendations.Health expectations : an international journal of public participation in health care and health policy · 2016
    Trial
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  19. Exploring consumer opinions on the presentation of side-effects information in Australian Consumer Medicine Information leaflets.Health expectations : an international journal of public participation in health care and health policy · 2016
    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

6 authors at 3 institutions in 1 country.

Peter KnappSchool of Healthcare, University of Leeds, Leeds, UK. p.r.knapp@leeds.ac.uk
David K Raynor
Elizabeth Woolf
Peter H Gardner
Neil Carrigan
Brian McMillan
University of Leeds · GBCancer Research UK · GBUniversity of Bath · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAll licensed medicines in the European Union must be provided with a Patient Information Leaflet that includes a list of all known side effects. Among patients who read the leaflet, the side effects section is the most often read. A UK government regulatory publication recommends providing medicine side effect risk information in a combined format, using verbal descriptors accompanied by numerical information.

objectivesThis study, with users of an existing popular patient information website, investigates the effectiveness of presenting medicine side effect risk information in different forms.

designParticipants were randomly allocated to one of the three formats for representing risk information (verbal descriptors, e.g. 'common'; absolute frequencies, e.g. 'less than 1 in 10 people'; and a combination of verbal descriptors and frequency bands, e.g. 'common (affects less than 1 in 10 people)'.

methodsParticipants (n = 187) were recruited from users of the Cancer Research UK patient information website. They were asked to imagine that they had to take a cancer treatment (tamoxifen), estimate the risks of four side effects occurring, and complete Likert scales relating to their satisfaction with the information supplied and perceived likelihood of various outcomes.

resultsThose in the absolute frequency format demonstrated greater accuracy in estimating the likelihood of having two of four side effects than the other two formats. They were also more accurate at estimating the likelihood of themselves or the average person having any side effect from taking tamoxifen. Participants in the absolute frequency format rated the risk to health from tamoxifen as lower than those in the other two formats, were more satisfied with the information they received than those in the verbal format, and felt there would be less impact of the information on tamoxifen use than those in the combined format.

conclusionsThese findings fail to confirm that the recommended use of combined descriptors for medicine side effects is unequivocally superior to absolute frequency alone. They also add weight to the growing body of research highlighting the deficiencies in using verbal descriptors for conveying side effect risk, and the strength of using absolute frequency descriptors.

Indexed as

Drug Information ServicesDrug-Related Side Effects and Adverse ReactionsGovernment RegulationInternetAdolescentAdultAgedAnalysis of VarianceConsumer BehaviorConsumer Health InformationDatabases, FactualDrug LabelingEuropean UnionFemaleHumansMaleTamoxifen

Identifiers

PMID19722727
OpenAlexW2081080810

What OpenQuestion holds

Textmetadata
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.