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Frequency of Participation in External Quality Assessment Programs Focused on Rare Diseases
- Source :
- JMIR Medical Informatics, JMIR medical informatics, Vol. 9, no.7, p. e27980 [1-10] (2021), JMIR MEDICAL INFORMATICS
- Publication Year :
- 2021
- Publisher :
- JMIR Publications, 2021.
-
Abstract
- Background Participation in quality controls, also called external quality assessment (EQA) schemes, is required for the ISO15189 accreditation of the Medical Centers of Human Genetics. However, directives on the minimal frequency of participation in genetic quality control schemes are lacking or too heterogeneous, with a possible impact on health care quality. Objective The aim of this project is to develop Belgian guidelines on the frequency of participation in quality controls for genetic testing in the context of rare diseases. Methods A group of experts analyzed 90 EQA schemes offered by accredited providers and focused on analyses used for the diagnosis of rare diseases. On that basis, the experts developed practical recommendations about the minimal frequencies of participation of the Medical Centers of Human Genetics in quality controls and how to deal with poor performances and change management. These guidelines were submitted to the Belgian Accreditation Body and then reviewed and approved by the Belgian College of Human Genetics and Rare Diseases and by the National Institute for Health and Disability Insurance. Results The guidelines offer a decisional algorithm for the minimal frequency of participation in human genetics EQA schemes. This algorithm has been developed taking into account the scopes of the EQA schemes, the levels of experience, and the annual volumes of the Centers of Human Genetics in the performance of the tests considered. They include three key principles: (1) the recommended annual assessment of all genetic techniques and technological platforms, if possible through EQAs covering the technique, genotyping, and clinical interpretation; (2) the triennial assessment of the genotyping and interpretation of specific germline mutations and pharmacogenomics analyses; and (3) the documentation of actions undertaken in the case of poor performances and the participation to quality control the following year. The use of a Bayesian statistical model has been proposed to help the Centers of Human Genetics to determine the theoretical number of tests that should be annually performed to achieve a certain threshold of performance (eg, a maximal error rate of 1%). Besides, the guidelines insist on the role and responsibility of the national public health authorities in the follow-up of the quality of analyses performed by the Medical Centers of Human Genetics and in demonstrating the cost-effectiveness and rationalization of participation frequency in these quality controls. Conclusions These guidelines have been developed based on the analysis of a large panel of EQA schemes and data collected from the Belgian Medical Centers of Human Genetics. They are applicable to other countries and will facilitate and improve the quality management and financing systems of the Medical Centers of Human Genetics.
- Subjects :
- 0301 basic medicine
Quality management
GENOTYPING ERRORS
Cost effectiveness
Computer science
human genetics
Health Informatics
Context (language use)
030105 genetics & heredity
Health informatics
genetic testing
03 medical and health sciences
Health Information Management
External quality assessment
Medicine and Health Sciences
medical informatics
genetics
human
quality control
health informatics
cost-effectiveness
Accreditation
Original Paper
Medical education
Science & Technology
algorithm
proficiency testing
business.industry
public
public health
rare diseases
health
external quality assessment
Human genetics
030104 developmental biology
frequency
surveillance
public health authorities
Human medicine
surveillance, public health authorities
business
Life Sciences & Biomedicine
Health care quality
Subjects
Details
- Language :
- English
- ISSN :
- 22919694
- Database :
- OpenAIRE
- Journal :
- JMIR Medical Informatics, JMIR medical informatics, Vol. 9, no.7, p. e27980 [1-10] (2021), JMIR MEDICAL INFORMATICS
- Accession number :
- edsair.doi.dedup.....d2f211f85b72539b4081afed862e9af7