Titre : Méthode en double aveugle

Méthode en double aveugle : Questions médicales fréquentes

Termes MeSH sélectionnés :

Data Accuracy

Questions fréquentes et termes MeSH associés

Diagnostic 2

#1

Comment la méthode en double aveugle aide-t-elle au diagnostic ?

Elle permet d'évaluer l'efficacité d'un traitement sans biais d'observation.
Méthodes de recherche Biais Évaluation clinique
#2

Quels tests utilisent la méthode en double aveugle ?

Des essais cliniques pour tester des médicaments ou des interventions.
Essais cliniques Médicaments Interventions thérapeutiques

Symptômes 2

#1

Les symptômes sont-ils évalués en double aveugle ?

Oui, cela permet d'éviter que les attentes influencent les rapports de symptômes.
Symptômes Évaluation des symptômes Biais d'observation
#2

Comment les symptômes sont-ils mesurés en double aveugle ?

Par des échelles standardisées, sans que les évaluateurs sachent le traitement reçu.
Échelles d'évaluation Mesure des symptômes Évaluation clinique

Prévention 2

#1

La méthode en double aveugle est-elle utilisée en prévention ?

Oui, pour évaluer l'efficacité des vaccins ou des interventions préventives.
Prévention Vaccins Essais cliniques
#2

Comment la prévention est-elle testée en double aveugle ?

En comparant un groupe recevant le traitement préventif à un groupe placebo.
Interventions préventives Placebo Essais contrôlés

Traitements 2

#1

Quels traitements utilisent souvent la méthode en double aveugle ?

Les essais de nouveaux médicaments, thérapies ou interventions chirurgicales.
Traitements médicaux Essais cliniques Interventions chirurgicales
#2

Pourquoi utiliser la méthode en double aveugle pour les traitements ?

Pour garantir que les résultats ne soient pas influencés par des attentes ou des biais.
Biais Efficacité des traitements Essais contrôlés

Complications 2

#1

Les complications sont-elles prises en compte en double aveugle ?

Oui, pour évaluer les effets indésirables des traitements sans biais.
Complications Effets indésirables Évaluation clinique
#2

Comment les complications sont-elles rapportées ?

Par des rapports standardisés, sans que les évaluateurs sachent le traitement reçu.
Rapports d'effets indésirables Évaluation des complications Essais cliniques

Facteurs de risque 2

#1

La méthode en double aveugle évalue-t-elle les facteurs de risque ?

Indirectement, en contrôlant les variables pour isoler l'effet du traitement.
Facteurs de risque Contrôle des variables Essais cliniques
#2

Comment les facteurs de risque sont-ils pris en compte ?

En randomisant les participants pour équilibrer les caractéristiques entre groupes.
Randomisation Caractéristiques des participants Essais contrôlés
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Dr Olivier Menir

Contenu validé par Dr Olivier Menir

Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale


Validation scientifique effectuée le 08/04/2025

Contenu vérifié selon les dernières recommandations médicales

Auteurs principaux

Hiroyoshi Yajima

2 publications dans cette catégorie

Publications dans "Méthode en double aveugle" :

Miho Takayama

2 publications dans cette catégorie

Publications dans "Méthode en double aveugle" :

Judith M Schlaeger

2 publications dans cette catégorie

Publications dans "Méthode en double aveugle" :

Nobuari Takakura

2 publications dans cette catégorie

Publications dans "Méthode en double aveugle" :

Ted J Kaptchuk

2 publications dans cette catégorie

Affiliations :
  • Program in Placebo Studies, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, USA.
  • Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
Publications dans "Méthode en double aveugle" :

Booil Jo

2 publications dans cette catégorie

Affiliations :
  • Department of Psychiatry and Behavioral Science, Stanford University, Stanford, CA, USA.
Publications dans "Méthode en double aveugle" :

Cody A Cushing

2 publications dans cette catégorie

Publications dans "Méthode en double aveugle" :

Hakwan Lau

2 publications dans cette catégorie

Publications dans "Méthode en double aveugle" :

Mitsuo Kawato

2 publications dans cette catégorie

Publications dans "Méthode en double aveugle" :

Michelle G Craske

2 publications dans cette catégorie

Publications dans "Méthode en double aveugle" :

Vincent Taschereau-Dumouchel

2 publications dans cette catégorie

Publications dans "Méthode en double aveugle" :

Guus A M Kortman

2 publications dans cette catégorie

Affiliations :
  • NIZO Food Research B.V., 6718 ZB Ede, The Netherlands.

Maartje van den Belt

2 publications dans cette catégorie

Affiliations :
  • NIZO Food Research B.V., 6718 ZB Ede, The Netherlands.

Xuan Zhang

2 publications dans cette catégorie

Affiliations :
  • Chinese EQUATOR Centre, Hong Kong Chinese Medicine Clinical Study Centre, Chinese Clinical Trial Registry (Hong Kong), School of Chinese Medicine, Hong Kong Baptist University, Kowloon, Hong Kong, People's Republic of China.

Yernar Dauletovich Mamyrov

1 publication dans cette catégorie

Affiliations :
  • Department of Emergency Medicine, Pavlodar Branch of NCJSC Semey Medical University, Pavlodar, Kazakhstan.
Publications dans "Méthode en double aveugle" :

Daulet Urazovich Mamyrov

1 publication dans cette catégorie

Affiliations :
  • Department of Emergency Medicine, Pavlodar Branch of NCJSC Semey Medical University, Pavlodar, Kazakhstan.
Publications dans "Méthode en double aveugle" :

Gulzhanat Ertaevna Jakova

1 publication dans cette catégorie

Affiliations :
  • Department of Surgery, Pavlodar Branch of NCJSC Semey Medical University, Pavlodar, Kazakhstan.
Publications dans "Méthode en double aveugle" :

Yoshihiro Noso

1 publication dans cette catégorie

Affiliations :
  • Department of Health Services Management, Hiroshima International University, Hiroshima, Japan.
Publications dans "Méthode en double aveugle" :

Marat Kelisovich Syzdykbayev

1 publication dans cette catégorie

Affiliations :
  • Department of Surgery, Anesthesiology and Reanimatology, Semey Medical University, Semey, Kazakhstan.
Publications dans "Méthode en double aveugle" :

Tony Bazi

1 publication dans cette catégorie

Affiliations :
  • American University of Beirut, Beirut, Lebanon. tb14@aub.edu.lb.
Publications dans "Méthode en double aveugle" :

Sources (10000 au total)

Effective data quality management for electronic medical record data using SMART DATA.

In the medical field, we face many challenges, including the high cost of data collection and processing, difficult standards issues, and complex preprocessing techniques. It is necessary to establish... We defined the data quality management system from three aspects (Construction - Operation - Utilization) based on the life cycle of medical data. Based on this, we proposed the "SMART DATA" concept a... We define "SMART DATA" as systematized, high-quality data collected based on the life cycle of data construction, operation, and utilization through quality control activities for medical data. In thi... In this study, we conducted primary research to develop a medical data quality management system. This will standardize medical data extraction and quality control methods and increase the utilization...

Over-interpretation of findings in diagnostic accuracy studies of infectious diseases.

To assess the prevalence of overly positive interpretation, also called 'spin',-of results in diagnostic accuracy studies of infectious diseases and to identify suggestions for improvement.... A PubMed search was performed to identify diagnostic accuracy studies of infectious diseases published between January and March 2019. Each article was assessed by two authors independently to identif... The final analysis included 120 studies. Favourable or promising recommendations were made in the main text of 101 (84%) of the included studies. Evidence of actual over-interpretation (spin) was foun... Evidence of over-interpretation of results was found in one-third of the included studies. We have proposed possible interventions to prevent overly positive interpretations of results in diagnostic a...

Influence on the accuracy in ChatGPT: Differences in the amount of information per medical field.

Although ChatGPT was not developed for medical use, there is growing interest in its use in medical fields. Understanding its capabilities and precautions for its use in the medical field is an urgent... A non-clinical experimental study.... We administered the Japanese National Medical Examination to GPT-3.5 and GPT-4 to examine the rates of accuracy and consistency in their responses. We counted the total number of documents in the Web ... For GPT-4, we confirmed an accuracy rate of 81.0 % and a consistency rate of 88.8 % on the exam; both showed improvement compared to those for GPT-3.5. A positive correlation was observed between the ... Checking consistency may help identify incorrect answers when using ChatGPT. Users should be aware that the accuracy of the answers by ChatGPT may decrease when it is asked about topics with limited p...

Health data hubs: an analysis of existing data governance features for research.

Digital transformation in healthcare and the growth of health data generation and collection are important challenges for the secondary use of healthcare records in the health research field. Likewise... To capture the different data governance behind health data hubs across Europe, a survey focused on analysing the feasibility of linking individual-level data between data collections and the generati... In total, 41 survey responses received until June 2022 were analysed. Stratification methods were performed to cover the different levels of granularity identified in some data hubs' characteristics. ... The analysis of the responses from health data hub respondents across Europe provided a list of the most frequent aspects, which concluded with a set of specific best practices on data management and ...

A scoping review of preprocessing methods for unstructured text data to assess data quality.

Unstructured text data (UTD) are increasingly found in many databases that were never intended to be used for research, including electronic medical record (EMR) databases. Data quality can impact the... Our objective was to systematically document current research and practices about NLP preprocessing methods to describe or improve the quality of UTD, including UTD found in EMR databases.... A scoping review was undertaken of peer-reviewed studies published between December 2002 and January 2021. Scopus, Web of Science, ProQuest, and EBSCOhost were searched for literature relevant to the ... A total of 41 articles were included in the scoping review; over 50% were published between 2016 and 2021. Almost 20% of the articles were published in health science journals. Common preprocessing me... Multiple NLP techniques have been proposed to preprocess UTD, with some differences in techniques applied to EMR data. There are similarities in the data quality dimensions used to characterize struct...

Development of novel composite data quality scores to evaluate facility-level data quality in electronic data in Kenya: a nationwide retrospective cohort study.

In this evaluation, we aim to strengthen Routine Health Information Systems (RHIS) through the digitization of data quality assessment (DQA) processes. We leverage electronic data from the Kenya Healt... We evaluated 187 HIV care facilities with electronic medical records across Kenya. Using quarterly, longitudinal KHIS data from January 2011 to June 2018 (total N = 30 quarters), we extracted indicato... A total of 5,610 unique facility-quarters were extracted from KHIS. The mean completeness score was 61.1% [standard deviation (SD) = 27%]. The mean consistency score was 80% (SD = 16.4%). The mean dis... We observed a lack of correlation between the completeness score and the other two scores. As such, for a holistic DQA, completeness assessment should be paired with the measurement of either consiste...