Evidence map›Paper›PMID 27167521›Full record

ArticlePloS one2016

Patients' Non-Medical Characteristics Contribute to Collective Medical Decision-Making at Multidisciplinary Oncological Team Meetings.

Léa Restivo, Thémis Apostolidis, Anne-Déborah Bouhnik, Sylvain Garciaz, Thérèse Aurran, Claire Julian-Reynier

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In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  7. How shared is decision-making in multidisciplinary tumour conferences with patient participation? An observational study.Health expectations : an international journal of public participation in health care and health policy · 2022
    Observational
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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

6 authors.

Léa RestivoAix Marseille Université, Laboratoire de Psychologie Sociale EA 849, Aix en Provence, France.
Thémis ApostolidisAix Marseille Université, Laboratoire de Psychologie Sociale EA 849, Aix en Provence, France.
Anne-Déborah BouhnikINSERM, UMR912 (SESSTIM), Marseille, France.
Sylvain GarciazInstitut Paoli-Calmettes, Marseille, France.
Thérèse AurranInstitut Paoli-Calmettes, Marseille, France.
Claire Julian-ReynierINSERM, UMR912 (SESSTIM), Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe contribution of patients' non-medical characteristics to individual physicians' decision-making has attracted considerable attention, but little information is available on this topic in the context of collective decision-making. Medical decision-making at cancer centres is currently carried out using a collective approach, at MultiDisciplinary Team (MDT) meetings. The aim of this study was to determine how patients' non-medical characteristics are presented at MDT meetings and how this information may affect the team's final medical decisions.

designObservations were conducted at a French Cancer Centre during MDT meetings at which non-standard cases involving some uncertainty were discussed from March to May 2014. Physicians' verbal statements and predefined contextual parameters were collected with a non-participant observational approach. Non numerical data collected in the form of open notes were then coded for quantitative analysis. Univariate and multivariate statistical analyses were performed.

resultsIn the final sample of patients' records included and discussed (N = 290), non-medical characteristics were mentioned in 32.8% (n = 95) of the cases. These characteristics corresponded to demographics in 22.8% (n = 66) of the cases, psychological data in 11.7% (n = 34), and relational data in 6.2% (n = 18). The patient's age and his/her "likeability" were the most frequently mentioned characteristics. In 17.9% of the cases discussed, the final decision was deferred: this outcome was positively associated with the patients' non-medical characteristics and with uncertainty about the outcome of the therapeutic options available. LIMITATIONS: The design of the study made it difficult to draw definite cause-and-effect conclusions.

conclusionThe Social Representations approach suggests that patients' non-medical characteristics constitute a kind of tacit professional knowledge that may be frequently mobilised in physicians' everyday professional practice. The links observed between patients' attributes and the medical decisions made at these meetings show that these attributes should be taken into account in order to understand how medical decisions are reached in difficult situations of this kind.

Indexed as

Clinical Decision-MakingCooperative BehaviorInterdisciplinary CommunicationMedical OncologyPatient Care TeamHumansLogistic ModelsMultivariate Analysis

Identifiers

PMID27167521
PMCPMC4864423

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