Evidence map›Paper›PMID 35177043›Full record

ArticleBMC medical informatics and decision making2022

A scattered landscape: assessment of the evidence base for 71 patient decision aids developed in a hospital setting.

Marion Danner, Marie Debrouwere, Anne Rummer, Kai Wehkamp, Jens Ulrich Rüffer, Friedemann Geiger, Robert Wolff, Karoline Weik, Fueloep Scheibler

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Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
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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

9 authors.

Marion DannerSHARE TO CARE (S2C) Team, National Competency Center for Shared Decision Making, University Hospital Schleswig-Holstein (UKSH) - Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany. marion.danner@darum-koeln.de.
Marie DebrouwereSHARE TO CARE (S2C) Team, National Competency Center for Shared Decision Making, University Hospital Schleswig-Holstein (UKSH) - Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany.
Anne RummerSHARE TO CARE (S2C) Team, National Competency Center for Shared Decision Making, University Hospital Schleswig-Holstein (UKSH) - Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany.
Kai WehkampSHARE TO CARE (S2C) Team, National Competency Center for Shared Decision Making, University Hospital Schleswig-Holstein (UKSH) - Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany.
Jens Ulrich RüfferSHARE TO CARE (S2C) GmbH, Cologne, Germany.
Friedemann GeigerSHARE TO CARE (S2C) Team, National Competency Center for Shared Decision Making, University Hospital Schleswig-Holstein (UKSH) - Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany.
Robert WolffKleijnen Systematic Reviews Ltd., York, UK.
Karoline WeikTAKEPART Media+Science GmbH, Cologne, Germany.
Fueloep ScheiblerSHARE TO CARE (S2C) Team, National Competency Center for Shared Decision Making, University Hospital Schleswig-Holstein (UKSH) - Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent publications reveal shortcomings in evidence review and summarization methods for patient decision aids. In the large-scale "Share to Care (S2C)" Shared Decision Making (SDM) project at the University Hospital Kiel, Germany, one of 4 SDM interventions was to develop up to 80 decision aids for patients. Best available evidence on the treatments' impact on patient-relevant outcomes was systematically appraised to feed this information into the decision aids. Aims of this paper were to (1) describe how PtDAs are developed and how S2C evidence reviews for each PtDA are conducted, (2) appraise the quality of the best available evidence identified and (3) identify challenges associated with identified evidence.

methodsThe quality of the identified evidence was assessed based on GRADE quality criteria and categorized into high-, moderate-, low-, very low-quality evidence. Evidence appraisal was conducted across all outcomes assessed in an evidence review and for specific groups of outcomes, namely mortality, morbidity, quality of life, and treatment harms. Challenges in evidence interpretation and summarization resulting from the characteristics of decision aids and the type and quality of evidence are identified and discussed.

resultsEvidence reviews assessed on average 25 systematic reviews/guidelines/studies and took about 3 months to be completed. Despite rigorous review processes, nearly 70% of outcome-specific information derived for decision aids was based on low-quality and mostly on non-directly comparative evidence. Evidence on quality of life and harms was often not provided or not in sufficient form/detail. Challenges in evidence interpretation for use in decision aids resulted from, e.g., a lack of directly comparative evidence or the existence of very heterogeneous evidence for the diverse treatments being compared.

conclusionsEvidence reviews in this project were carefully conducted and summarized. However, the evidence identified for our decision aids was indeed a "scattered landscape" and often poor quality. Facing a high prevalence of low-quality, non-directly comparative evidence for treatment alternatives doesn't mean it is not necessary to choose an evidence-based approach to inform patients. While there is an urgent need for high quality comparative trials, best available evidence nevertheless has to be appraised and transparently communicated to patients.

Indexed as

Decision MakingQuality of LifeDecision Making, SharedDecision Support TechniquesHospitals, UniversityHumansPatient ParticipationEvidence-based Patient Decision Aid (PtDA)Evidence reviewEvidence summarizationShared decision making (SDM)

Identifiers

PMID35177043
PMCPMC8855583

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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.