Evidence map›Paper›PMID 17324194›Full record

SynthesisHealth expectations : an international journal of public participation in health care and health policy2007

A systematic review of information in decision aids.

Deb Feldman-Stewart, Sarah Brennenstuhl, Kathryn McIssac, Joan Austoker, Agathe Charvet, Paul Hewitson, Karen R Sepucha, Tim Whelan

Abstract readSystematic Review
In one paragraph

Synthesis in Health expectations : an international journal of public participation in health care and health policy, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 7 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

30 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. How best to use and evaluate Patient Information Leaflets given during a consultation: a systematic review of literature reviews.Health expectations : an international journal of public participation in health care and health policy · 2017
    Pooled it
  4. Pooled it
  5. Providing information about options in patient decision aids.BMC medical informatics and decision making · 2013
    Pooled it
  6. Pooled it
  7. A systematic review of decision support needs of parents making child health decisions.Health expectations : an international journal of public participation in health care and health policy · 2008
    Pooled it
  8. Article
  9. Article
  10. Article
  11. Article
  12. Development of a novel gout treatment patient decision aid by patient and physician: A qualitative research study.Health expectations : an international journal of public participation in health care and health policy · 2021
    Article
  13. Article
  14. Article
  15. Making their decisions for prostate cancer treatment: Patients' experiences and preferences related to process.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2018
    Article
  16. [Quality of patient information leaflets on atopic eczema : An analysis using the DISCERN instrument].Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete · 2018
    Article
  17. Article
  18. Implementing shared decision making in routine mental health care.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2017
    Article
  19. Article
  20. Development and pilot testing of a decision aid for drivers with dementia.BMC medical informatics and decision making · 2014
    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

8 authors.

Deb Feldman-StewartDivision of Cancer Care and Epidemiology, Cancer Research Institute, Queen's University, Kingston, Canada. deb.feldman-stewart@krcc.on.ca
Sarah Brennenstuhl
Kathryn McIssac
Joan Austoker
Agathe Charvet
Paul Hewitson
Karen R Sepucha
Tim Whelan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe completed a systematic review of information reported as included in decision aids (DAs) for adult patients, to determine if it is complete, balanced and accurate. SEARCH STRATEGY: DAs were identified using the Cochrane Database of DAs and searches of four electronic databases using the terms: 'decision aid'; shared decision making' and 'patients'; 'multimedia or leaflets or pamphlets or videos and patients and decision making'. Additionally, publications reporting DA development and actual DAs that were reported as publicly available on the Internet were consulted. Publications were included up to May 2006. DATA EXTRACTION: Data were extracted on the following variables: external groups consulted in development of the DA, type of study used, categories of information, inclusion of probabilities, use of citation lists and inclusion of patient experiences. MAIN

results68 treatment DAs and 30 screening DAs were identified. 17% of treatment DAs and 47% of screening DAs did not report any external consultation and, of those that did, DA producers tended to rely more heavily on medical experts than on patients' guidance. Content evaluations showed that (i) treatment DAs frequently omit describing the procedure(s) involved in treatment options and (ii) screening DAs frequently focus on false positives but not false negatives. About 1/2 treatment DAs reported probabilities with a greater emphasis on potential benefits than harms. Similarly, screening DAs were more likely to provide false-positive than false-negative rates.

conclusionsThe review led us to be concerned about completeness, balance and accuracy of information included in DAs.

Indexed as

Patient ParticipationHumansPatient Education as Topic

Identifiers

PMID17324194
PMCPMC5060377

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.