Evidence map›Paper›PMID 22195063›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011

Revisiting the EBM decision model to formalize non-compliance with computerized CPGs: results in the management of breast cancer with OncoDoc2.

Jacques Bouaud, Brigitte Séroussi

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Pooled it
  3. 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

2 authors.

Jacques BouaudAP-HP, STIM, Paris, France.
Brigitte Séroussi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2002, Haynes et al. founded a prescriptive model of evidence-based medicine based on the patient's clinical state, her preferences, and research evidence, clinical expertise synthesizing the other three components. Revisiting this model of medical decision making, we propose a descriptive model introducing clinicians' preferences and formalize four reasons of non-compliance with clinical practice guidelines (CPGs). The approach has been applied to breast cancer management decisions taken by multidisciplinary staff meetings (MSMs) at the Tenon hospital, Paris, France, while using a clinical decision support system (CDSS): OncoDoc2. 1,889 MSM decisions have been recorded [February 2007-October 2009]. The compliance rate with CPGs was measured at 91.0%. Non-compliant decisions are mainly "MSM choices" (39.1%) and "particular cases" (34.9%). "Practice evolution" and "patient choices" are less frequent (12.4% and 11.2%). Even with a CDSS, a 100% compliance rate cannot be reached because particular cases fall outside CPGs and borderline cases need to be interpreted by clinicians.

Indexed as

Decision Support Systems, ClinicalEvidence-Based MedicineGuideline AdherencePractice Guidelines as TopicAttitude of Health PersonnelBreast NeoplasmsDisease ManagementFemaleHumans

Identifiers

PMID22195063
PMCPMC3243232

What OpenQuestion holds

Textmetadata
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.