Evidence map›Paper›PMID 26979236›Full record

ReviewBMC medical informatics and decision making2016

Wilfully out of sight? A literature review on the effectiveness of cancer-related decision aids and implementation strategies.

Anne Herrmann, Elise Mansfield, Alix E Hall, Rob Sanson-Fisher, Nicholas Zdenkowski

Abstract readReview
In one paragraph

Review in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Primary Care Providers' Intended Use of Decision Aids for Prostate-Specific Antigen Testing for Prostate Cancer Screening.Journal of cancer education : the official journal of the American Association for Cancer Education · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. A Review of Shared Decision-Making and Patient Decision Aids in Radiation Oncology.Journal of cancer education : the official journal of the American Association for Cancer Education · 2017
    Review
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

5 authors.

Anne HerrmannPriority Research Centre for Health Behaviour, Health Behaviour Research Group, University of Newcastle and Hunter Medical Research Institute, W4, HMRI Building, University Drive, Callaghan, NSW, Australia. anne.herrmann@uon.edu.au.
Elise MansfieldPriority Research Centre for Health Behaviour, Health Behaviour Research Group, University of Newcastle and Hunter Medical Research Institute, W4, HMRI Building, University Drive, Callaghan, NSW, Australia.
Alix E HallPriority Research Centre for Health Behaviour, Health Behaviour Research Group, University of Newcastle and Hunter Medical Research Institute, W4, HMRI Building, University Drive, Callaghan, NSW, Australia.
Rob Sanson-FisherPriority Research Centre for Health Behaviour, Health Behaviour Research Group, University of Newcastle and Hunter Medical Research Institute, W4, HMRI Building, University Drive, Callaghan, NSW, Australia.
Nicholas ZdenkowskiDepartment of Medical Oncology, Calvary Mater Newcastle, Waratah, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is evidence to suggest that decision aids improve a number of patient outcomes. However, little is known about the progression of research effort in this area over time. This literature review examined the volume of research published in 2000, 2007 and 2014 which tested the effectiveness of decision aids in improving cancer patient outcomes, coded by cancer site and decision type being targeted. These numbers were compared with the volume of research examining the effectiveness of strategies to increase the adoption of decision aids by healthcare providers.

methodsA literature review of intervention studies was undertaken. Medline, Embase, PsychInfo and Cochrane Database of Systematic Reviews were searched. The search was limited to human studies published in English, French, or German. Abstracts were assessed against eligibility criteria by one reviewer and a random sample of 20 % checked by a second. Eligible intervention studies in the three time periods were categorised by: i) whether they tested the effectiveness of decision aids, coded by cancer site and decision type, and ii) whether they tested strategies to increase healthcare provider adoption of decision aids.

resultsOver the three time points assessed, increasing research effort has been directed towards testing the effectiveness of decision aids in improving patient outcomes (p < 0.0001). The number of studies on decision aids for cancer screening or prevention increased statistically significantly (p < 0.0001) whereas the number of studies on cancer treatment did not (p = 1.00). The majority of studies examined the effectiveness of decision aids for prostate (n = 10), breast (n = 9) or colon cancer (n = 7). Only two studies assessed the effectiveness of implementation strategies to increase healthcare provider adoption of decision aids.

conclusionsWhile the number of studies testing the effectiveness of decision aids has increased, the majority of research has focused on screening and prevention decision aids for only a few cancer sites. This neglects a number of cancer populations, as well as other areas of cancer care such as treatment decisions. Also, given the apparent effectiveness of decision aids, more effort needs to be made to implement this evidence into meaningful benefits for patients.

Indexed as

Decision Support TechniquesHumansNeoplasmsOutcome Assessment, Health CareDecision aidsImplementationNeoplasm

Identifiers

PMID26979236
PMCPMC4793751

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.