Evidence map›Paper›PMID 28420450›Full record

ArticlePsychological medicine2017

What side effects are problematic for patients prescribed antipsychotic medication? The Maudsley Side Effects (MSE) measure for antipsychotic medication.

T Wykes, J Evans, C Paton, T R E Barnes, D Taylor, R Bentall, B Dalton, T Ruffell, D Rose, S Vitoratou

Abstract read
In one paragraph

Article in Psychological medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Patient-Reported Questionnaires to Identify Adverse Drug Reactions: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  2. Trial
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  11. Participatory research: real or imagined.Social psychiatry and psychiatric epidemiology · 2018
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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

10 authors.

T WykesPsychology Department,Institute of Psychiatry, Psychology, and Neuroscience, King's College London,London,UK.
J EvansNIHR Biomedical Research Centre, South London and Maudsley NHS Foundation Trust and Institute of Psychiatry, Psychology, and Neuroscience, King's College London,London,UK.
C PatonChief Pharmacist,Oxleas NHS Foundation Trust,Dartford,UK.
T R E BarnesCentre for Psychiatry, Imperial College London,London,UK.
D TaylorPharmacy and Pathology,South London and Maudsley NHS Foundation Trust,London,UK.
R BentallDepartment of Psychological Sciences,University of Liverpool,UK.
B DaltonDepartment for Psychological Medicine,Institute of Psychiatry, Psychology, and Neuroscience, King's College London,London,UK.
T RuffellHealth Service & Population Research,Centre for Implementation Science,Institute of Psychiatry, Psychology, and Neuroscience, King's College London,London,UK.
D RoseHealth Service & Population Research,Centre for Implementation Science,Institute of Psychiatry, Psychology, and Neuroscience, King's College London,London,UK.
S VitoratouHealth Service & Population Research,Centre for Implementation Science,Institute of Psychiatry, Psychology, and Neuroscience, King's College London,London,UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCapturing service users' perspectives can highlight additional and different concerns to those of clinicians, but there are no up to date, self-report psychometrically sound measures of side effects of antipsychotic medications. Aim To develop a psychometrically sound measure to identify antipsychotic side effects important to service users, the Maudsley Side Effects (MSE) measure.

methodAn initial item bank was subjected to a Delphi exercise (n = 9) with psychiatrists and pharmacists, followed by service user focus groups and expert panels (n = 15) to determine item relevance and language. Feasibility and comprehensive psychometric properties were established in two samples (N43 and N50). We investigated whether we could predict the three most important side effects for individuals from their frequency, severity and life impact.

resultsMSE is a 53-item measure with good reliability and validity. Poorer mental and physical health, but not psychotic symptoms, was related to side-effect burden. Seventy-nine percent of items were chosen as one of the three most important effects. Severity, impact and distress only predicted 'putting on weight' which was more distressing, more severe and had more life impact in those for whom it was most important.

conclusionsMSE is a self-report questionnaire that identifies reliably the side-effect burden as experienced by patients. Identifying key side effects important to patients can act as a starting point for joint decision making on the type and the dose of medication.

Indexed as

AdultAntipsychotic AgentsDelphi TechniqueDrug-Related Side Effects and Adverse ReactionsFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSchizophreniaSelf ReportSurveys and QuestionnairesYoung AdultAntipsychotic AgentsMedication side effectsparticipatory methodsPROMschizophreniaself report

Identifiers

PMID28420450
PMCPMC5820531

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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.