Indexé dans
  • Ouvrir la porte J
  • Clés académiques
  • RechercheBible
  • Infrastructure nationale des connaissances en Chine (CNKI)
  • Centre international pour l'agriculture et les biosciences (CABI)
  • RechercheRef
  • Université Hamdard
  • EBSCO AZ
  • OCLC - WorldCat
  • CABI texte intégral
  • Publions
  • Fondation genevoise pour la formation et la recherche médicales
  • Google Scholar
Partager cette page
Dépliant de journal
Flyer image

Abstrait

Factors Affecting Implementation of Laboratory Quality Management System in Addis Ababa Public Health Laboratories, Addis Ababa, Ethiopia

Abay Sisay, Ashebir Gurmessa, Wondimeneh Liknew

Background: Laboratory quality management system is one of the most important initiative change taken place in the field of the medical laboratory as a comprehensive and transformational strategy to improve the quality of service to respond the needs and expectations of the society in Ethiopia since 2009.

Objective: This study aimed to assess factors affecting laboratory quality management system implementation among Addis Ababa health laboratories, Ethiopia.

Materials and Methods: A cross-sectional study design approach was used from September 2017 to February 2018 using both quantitative and quantitative data collection approach. Data were entered, cleaned using EPI-Data 3.1 and exported to SPSS version.20 software for analysis.

Results: Nine variables were found considerably associated with LQMS implementation (p<0.05) where method validation and verification, root cause analysis, laboratory equipment maintenance related issues, external quality assessment, professional competency, measurement uncertainty analysis, evaluation, and audit and trained staff turnover.

Conclusion: The overall findings illustrate that there is a need for facility management should set a specified budget for laboratory quality management implementation and should into consideration those factors while laboratory quality management system implementation.

Avertissement: Ce résumé a été traduit à l'aide d'outils d'intelligence artificielle et n'a pas encore été examiné ni vérifié