[Training evaluation of clinical laboratory excellence for technologists from some county and township hospitals in 31 provinces of China]

Zhonghua Yi Xue Za Zhi. 2015 Sep 22;95(36):2943-6.
[Article in Chinese]

Abstract

Objective: To improve clinical testing excellence through a large scale training project targeting laboratory operators at China's county and township hospitals.

Methods: The Chinese Society of Laboratory Medicine launched the "Clinical Laboratory Standards and Training Support Project" from 2010 to 2013. The project innovatively created a model of partnership between government, professional association, individual hospitals and other social forces. A survey before training was conducted in 445 county-hospital laboratories in 31 provinces. Six months after implementation, a sampling survey was conducted among 250 participating county hospitals in 9 provinces to assess the project.

Results: From 2010 to 2013, the project had covered 31 provinces of China, and trained technologists from 3 570 hospitals. After training, the average pass rate of assessment examination increased to 83.7% compared with 16.2% before the training. 29.6% hospitals added new biochemistry parameters, and the number of hospital with new hematology, immunology, and microbiology parameters accounted for 24.4%, 21.2% and 16.4%, respectively. The internal quality control and external quality assessment items also increased significantly. Biochemistry increased most, reaching 12.8% and 10.0%, and microbiology also reached 4.4% and 2.8% respectively. Bio-safety management capacities were also enhanced. The number of hospital implementing bio-safety risk assessment increased from 41.2% to 76.4%.

Conclusions: This project helpfully fills an important technical gap of clinical testing in China's rural healthcare infrastructure. Through training, clinical laboratory operations has been standardized, and systems of internal quality control and external quality assessment are increasingly improved.

MeSH terms

  • China
  • Hospitals*
  • Humans
  • Quality Control
  • Rural Population*
  • Surveys and Questionnaires