Evidence map›Paper›PMID 32282119›Full record

SynthesisHealth expectations : an international journal of public participation in health care and health policy2020

A systematic review of factors associated with side-effect expectations from medical interventions.

Louise E Smith, Rebecca K Webster, G James Rubin

Abstract readSystematic Review
In one paragraph

Synthesis in Health expectations : an international journal of public participation in health care and health policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. 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
  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
    Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Risk factors associated with nocebo effects: A review of reviews.Brain, behavior, & immunity - health · 2024
    Review
  18. Article
  19. Article
  20. People's experiences living with peripheral neuropathy: a qualitative study.Frontiers in pain research (Lausanne, Switzerland) · 2023
    Article
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.

Louise E SmithInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-1277-2564
Rebecca K WebsterDepartment of Psychology, University of Sheffield, Sheffield, UK.ORCID 0000-0002-5136-1098
G James RubinInstitute 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

backgroundFear of side-effects can result in non-adherence to medical interventions, such as medication and chemotherapy. Side-effect expectations have been identified as strong predictors of later perception of side-effects. However, research investigating predictors of side-effect expectations is disparate.

objectiveTo identify factors associated with side-effect expectations. SEARCH STRATEGY: We systematically searched Embase, Ovid MEDLINE, Global Health, PsycARTICLES, PsycINFO, Web of Science and Scopus. INCLUSION CRITERIA: Studies were included if they investigated associations between any predictive factor and expectations of side-effects from any medical intervention. DATA EXTRACTION AND SYNTHESIS: We extracted information about participant characteristics, medication, rates of side-effects expected and predictors of side-effect expectations. Data were narratively synthesized. MAIN

resultsWe identified sixty-four citations, reporting on seventy-two studies. Predictors fell into five categories: personal characteristics, clinical characteristics, psychological traits and state, presentation format of information, and information sources used. Using verbal risk descriptors (eg 'common') compared to numerical descriptors (eg percentages), having lower quality of life or well-being, and currently experiencing symptoms were associated with increased side-effect expectations. DISCUSSION AND

conclusionsDecreasing unrealistic side-effect expectations may lead to decreased experience of side-effects and increased adherence to medical interventions. Widespread communications about medical interventions should describe the incidence of side-effects numerically. Evidence suggests that clinicians should take particular care with patients with lower quality of life, who are currently experiencing symptoms and who have previously experienced symptoms from treatment. Further research should investigate different clinical populations and aim to quantify the impact of the media and social media on side-effect expectations.

Indexed as

Drug-Related Side Effects and Adverse ReactionsQuality of LifeGlobal HealthHumansMotivationexpectationsmedicationsnocebo effectpsychological predictorsside-effectssymptoms

Identifiers

PMID32282119
PMCPMC7495066

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.