Evidence‐informed person‐centred health care (part <scp>II</scp>): Are ‘cognitive biases plus’ underlying the <scp>EBM</scp> paradigm responsible for undermining the quality of evidence?
Bibliographic record
Abstract
INTRODUCTION: Recently, some leaders of the evidence-based medicine (EBM) movement drew attention to the "unintended" negative consequences associated with EBM. The term 'cognitive biases plus' was introduced in part I to encompass cognitive biases, conflicts of interests, fallacies and certain behaviours. HYPOTHESIS: 'Cognitive biases plus' in those closely involved in creating and promoting the EBM paradigm are responsible for their (1) inability to anticipate and then recognize flaws in the tenets of EBM; (2) discounting alternative views; and (3) delaying reform. METHODS: A narrative review style was used, with methods as in part I. APPRAISAL OF LITERATURE: Over the past two decades there has been mounting qualitative and quantitative methodological evidence to suggest that the faith placed in (1) the EBM hierarchy with randomized controlled trials and systematic reviews at the summit; (2) the reliability of biostatistical methods to quantitate data; and (3) the primacy of sources of pre-appraised evidence, is seriously misplaced. Consequently, the evidence that informs person-centred care is compromised. DISCUSSION: Arguments focusing on 'cognitive biases plus' are offered to support our hypothesis. To the best of our knowledge, EBM proponents have not provided an explanation. CONCLUSIONS: Reform is urgently needed to minimize continuing risks to patients. If our hypothesis is correct, then in addition to the suggestions made in part I, deficiencies in the paradigm must be corrected. Meaningful solutions are only possible if the biases of scientific inbreeding and groupthink are minimized by collaboration between EBM leaders and those who have been sounding warning bells.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.155 | 0.394 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.002 | 0.030 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.014 | 0.013 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".