Evidence map›Paper›PMID 38525314›Full record

ArticlePEC innovation2024

Measuring decision aid effectiveness for end-of-life care: A systematic review.

M Courtney Hughes, Erin Vernon, Chinenye Egwuonwu, Oluwatoyosi Afolabi

Abstract read
In one paragraph

Article in PEC innovation, 2024. 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. Review
  2. Article
  3. Article
  4. 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

4 authors.

M Courtney HughesSchool of Health Studies, Northern Illinois University, Wirtz Hall 209, DeKalb, IL 60115, USA.
Erin VernonDepartment of Economics, Seattle University, Pigott 522, Seattle, WA 98122, USA.
Chinenye EgwuonwuSchool of Health Studies, Northern Illinois University, Wirtz Hall 209, DeKalb, IL 60115, USA.
Oluwatoyosi AfolabiSchool of Health Studies, Northern Illinois University, Wirtz Hall 209, DeKalb, IL 60115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To systematically review research analyzing the effectiveness of decision aids for end-of-life care, including how researchers specifically measure decision aid success. Methods: We conducted a systematic review synthesizing quantitative, qualitative, and mixed-methods study results using Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Four databases were searched through February 18, 2023. Inclusion criteria required articles to evaluate end-of-life care decision aids. The review is registered under PROSPERO (#CRD42023408449). Results: A total of 715 articles were initially identified, with 43 meeting the inclusion criteria. Outcome measures identified included decisional conflict, less aggressive care desired, knowledge improvements, communication improvements, tool satisfaction, patient anxiety and well-being, and less aggressive care action completed. The majority of studies reported positive outcomes especially when the decision aid development included International Patient Decision Aid Standards. Conclusion: Research examining end of life care decision aid use consistently reports positive outcomes. Innovation: This review presents data that can guide the next generation of decision aids for end-of-life care, namely using the International Patient Decision Aid Standards in developing tools and showing which tools are effective for helping to prevent the unnecessary suffering that can result when patients' dying preferences are unknown.

Indexed as

Advance care planningDecision aidsDyingEnd-of-life carePalliative careSystematic review

Identifiers

PMID38525314
PMCPMC10957449

What OpenQuestion holds

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Registered trials

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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.