Evidence map›Paper›PMID 10396471›Full record

ArticleJournal of epidemiology and community health1999

DISCERN: an instrument for judging the quality of written consumer health information on treatment choices.

D Charnock, S Shepperd, G Needham, R Gann

Registry-linked trialAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05222763 (Effect Of Web - Supported Interactıve Nursıng Program After Mastectomy On Body Value, Care Dependence And Psychosocıal Adaptatıon To Dısease-Self-Awareness Levels Accordıng To Self-Regulatıon Model), which is not on this map. Cited by 1,418 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,418citing 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.

NCT05222763 nacompletednot on this mapstarted 2022, after this paper: background citation

Effect Of Web - Supported Interactıve Nursıng Program After Mastectomy On Body Value, Care Dependence And Psychosocıal Adaptatıon To Dısease-Self-Awareness Levels Accordıng To Self-Regulatıon Model: Mıxed Method Study

TypeinterventionalSponsorCumhuriyet UniversityRan2022 to 2023Enrolled67ConditionsWeb Based Intervention, Mastectomy, Illness Perception, Nursing CariesArmsWeb-assisted patient education intervention designed according to the self-regulation model, The website where the mastectomy patients handbook
3 · Its place in the literature

Who cites it

1,418 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Online information on bowel resection for Crohn's disease.Annals of the Royal College of Surgeons of England · 2026
    Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

1,358 more citing papers are in PubMed but not listed here.

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

4 authors.

D CharnockUniversity of Oxford, Division of Public Health and Primary Health Care, Institute of Health Sciences.
S Shepperd
G Needham
R Gann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a short instrument, called DISCERN, which will enable patients and information providers to judge the quality of written information about treatment choices. DISCERN will also facilitate the production of new, high quality, evidence-based consumer health information.

designAn expert panel, representing a range of expertise in consumer health information, generated criteria from a random sample of information for three medical conditions with varying degrees of evidence: myocardial infarction, endometriosis, and chronic fatigue syndrome. A graft instrument, based on this analysis, was tested by the panel on a random sample of new material for the same three conditions. The panel re-drafted the instrument to take account of the results of the test. The DISCERN instrument was finally tested by a national sample of 15 information providers and 13 self help group members on a random sample of leaflets from 19 major national self help organisations. Participants also completed an 8 item questionnaire concerning the face and content validity of the instrument.

resultsChance corrected agreement (weighted kappa) for the overall quality rating was kappa = 0.53 (95% CI kappa = 0.48 to kappa = 0.59) among the expert panel, kappa = 0.40 (95% CI kappa = 0.36 to kappa = 0.43) among information providers, and kappa = 0.23 (95% CI kappa = 0.19 to kappa = 0.27) among self help group members. Higher agreement levels were associated with experience of using the instrument and with professional knowledge of consumer health information. Levels of agreement varied across individual items on the instrument, reflecting the need for subjectivity in rating certain criteria. The trends in levels of agreement were similar among all groups. The final instrument consisted of 15 questions plus an overall quality rating. Responses to the questionnaire after the final testing revealed the instrument to have good face and content validity and to be generally applicable.

conclusionsDISCERN is a reliable and valid instrument for judging the quality of written consumer health information. While some subjectivity is required for rating certain criteria, the findings demonstrate that the instrument can be applied by experienced users and providers of health information to discriminate between publications of high and low quality. The instrument will also be of benefit to patients, though its use will be improved by training.

Indexed as

EndometritisFatigue Syndrome, ChronicFemaleHealth PromotionHumansMyocardial InfarctionPatient Education as TopicProgram EvaluationQuality Assurance, Health Care

Identifiers

PMID10396471
PMCPMC1756830

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.