Evidence map›Paper›PMID 37568683›Full record

ReviewCancers2023

Mixed-Method Systematic Review and Meta-Analysis of Shared Decision-Making Tools for Cancer Screening.

Deborah Jael Herrera, Wessel van de Veerdonk, Neamin M Berhe, Sarah Talboom, Marlon van Loo, Andrea Ruiz Alejos, Allegra Ferrari, Guido Van Hal

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
8.7field-weighted citation impact, top 2% of its field
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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Integrating Shared Decision-Making into Undergraduate Oncology Education: A Pedagogical Framework.Journal of cancer education : the official journal of the American Association for Cancer Education · 2024
    Pooled it
  4. Article
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  8. Review
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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

8 authors at 1 institution in 2 countries.

Deborah Jael HerreraSocial Epidemiology and Health Policy (SEHPO), Family Medicine and Population Health (FAMPOP) Department, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, 2610 Antwerp, Belgium.ORCID 0000-0003-0908-4098
Wessel van de VeerdonkSocial Epidemiology and Health Policy (SEHPO), Family Medicine and Population Health (FAMPOP) Department, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, 2610 Antwerp, Belgium.ORCID 0000-0002-3074-7493
Neamin M BerheSocial Epidemiology and Health Policy (SEHPO), Family Medicine and Population Health (FAMPOP) Department, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, 2610 Antwerp, Belgium.ORCID 0000-0002-8467-5835
Sarah TalboomExpertise Unit People and Wellbeing, Campus Zandpoortvest Thomas More University of Applied Sciences, 2800 Mechelen, Belgium.
Marlon van LooExpertise Unit People and Wellbeing, Campus Zandpoortvest Thomas More University of Applied Sciences, 2800 Mechelen, Belgium.
Andrea Ruiz AlejosSocial Epidemiology and Health Policy (SEHPO), Family Medicine and Population Health (FAMPOP) Department, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, 2610 Antwerp, Belgium.
Allegra FerrariSocial Epidemiology and Health Policy (SEHPO), Family Medicine and Population Health (FAMPOP) Department, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, 2610 Antwerp, Belgium.
Guido Van HalSocial Epidemiology and Health Policy (SEHPO), Family Medicine and Population Health (FAMPOP) Department, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, 2610 Antwerp, Belgium.ORCID 0000-0002-4611-4076
University of Antwerp · BE

Funding

Kom op tegen Kanker ID: 12751
6 · The paper itself

Abstract

This review aimed to synthesize evidence on the effectiveness of shared decision-making (SDM) tools for cancer screening and explored the preferences of vulnerable people and clinicians regarding the specific characteristics of the SDM tools. A mixed-method convergent segregated approach was employed, which involved an independent synthesis of quantitative and qualitative data. Articles were systematically selected and screened, resulting in the inclusion and critical appraisal of 55 studies. Results from the meta-analysis revealed that SDM tools were more effective for improving knowledge, reducing decisional conflict, and increasing screening intentions among vulnerable populations compared to non-vulnerable populations. Subgroup analyses showed minimal heterogeneity for decisional conflict outcomes measured over a six-month period. Insights from the qualitative findings revealed the complexities of clinicians' and vulnerable populations' preferences for an SDM tool in cancer screening. Vulnerable populations highly preferred SDM tools with relevant information, culturally tailored content, and appropriate communication strategies. Clinicians, on the other hand, highly preferred tools that can be easily integrated into their medical systems for efficient use and can effectively guide their practice for cancer screening while considering patients' values. Considering the complexities of patients' and clinicians' preferences in SDM tool characteristics, fostering collaboration between patients and clinicians during the creation of an SDM tool for cancer screening is essential. This collaboration may ensure effective communication about the specific tool characteristics that best support the needs and preferences of both parties.

Indexed as

cancer screeningdecision support techniquespatient-centered carephysician–patient relationsshared decision-makingvulnerable populations

Identifiers

PMID37568683
PMCPMC10417450
OpenAlexW4385421618

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.