Evidence map›Paper›PMID 34961577›Full record

ReviewAtencion primaria2021

[Diagnostic error and overdiagnosis in Primary Care. Proposals for the improvement of clinical practice family medicine].

Sergio Minúe Lorenzo, Maria Pilar Astier-Peña, Txema Coll Benejam

Abstract readReview
In one paragraph

Review in Atencion primaria, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Sergio Minúe LorenzoEscuela Andaluza de Salud Pública, Jefe del Servicio Integrado de Salud basado en la Atención Primaria de Salud. Centro Colaborador de la OMS, Granada, España.
Maria Pilar Astier-PeñaServicio Aragonés de Salud, Universidad de Zaragoza, GIBA-IIS Aragón, Zaragoza, España; Grupo de Seguridad del Paciente de la Sociedad Española de Medicina de Familia y Comunitaria (semFYC), Barcelona, España. Electronic address: mpastier@gmail.com.
Txema Coll BenejamGrupo de Seguridad del Paciente de la Sociedad Española de Medicina de Familia y Comunitaria (semFYC), Barcelona, España; Atención Primaria, Área de Salut de Menorca, IB-SALUT, Mahón, Menorca, España.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Family doctors see a wide range of patients, with a wide range of complexity, in a short time and with few diagnostic resources. This situation makes primary care professionals more vulnerable to diagnostic errors. For this reason, an adequate clinical reasoning process is the most powerful tool family doctors have to safely guide the patient care process. Considering these errors as missed opportunities for a correct diagnosis, which may cause harm to the patient, leads us as professionals to review how to improve this process. The review includes, among other aspects, identifying cognitive biases, analysing the ways in which work is organised in primary care teams, and situations in the care context that may contribute to such errors. In this article we describe the most frequent diagnostic errors and their causal factors in primary care, the impact of cognitive process failures, situations of overdiagnosis and the diagnostic and therapeutic cascades associated with them. Finally, we propose a set of tools to improve decision-making in the diagnostic process in primary care.

Indexed as

Family PracticeOverdiagnosisDiagnostic ErrorsHumansPatient CarePrimary Health CareAtención primariaCognitive biasDiagnosis errorError diagnósticoFamily medicineMedicina de familiaOverdiagnosisPatient safetyPrimary careSeguridad del pacienteSesgo cognitivoSobrediagnóstico

Identifiers

PMID34961577
PMCPMC8721341

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.