The bacterial contamination rate of glucose meter test strips in the hospital setting

Autor: Amr T. M. Saeb, Hamid AlQumaidi, Dhekra AlNaqeb, Turki A. AlMogbel, Khalid Al-Rubeaan
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Saudi Medical Journal, Vol 37, Iss 9, Pp 985-995 (2016)
Saudi Medical Journal
ISSN: 1658-3175
0379-5284
Popis: Objectives: To assess the rate of bacterial contamination of the multi-use vial and single-use packed glucose meter strips, and to identify the type and frequency of various bacterial contamination in different hospital wards. Methods: This prospective observational study was conducted by a team from the Strategic Center for Diabetes Research in 7 general hospitals in the Central region of Saudi Arabia during the period from August to September 2014 to assess the bacterial contamination rate of the unused strips. A total of 10,447 strips were cultured using proper agar media and incubated both aerobically and anaerobically. Results: The total bacterial contamination rate for the multi-use vials glucose strips was 31.7%, while single-use packed strips were not contaminated at all. Ministry of Health hospitals had the highest contamination rates compared with other hospitals. Critical, obstetric, and surgical wards had the highest bacterial isolates number, where most were in the risk group 3 according to the National Institute of Health guidelines. Staphylococcus species were the most common bacteria found. Conclusion: Glucose meter strips should be recognized as a source of bacterial contamination that could be behind serious hospital acquired infections. The hospital infection control team should adopt proper measures to implement protocols for glucose meter cleaning and glucose strips handling. Saudi Med J 2016; Vol. 37 (9): 985-995 doi: 10.15537/smj.2016.9.14950 How to cite this article: Al-Rubeaan KA, Saeb AT, AlNaqeb DM, AlQumaidi HM, AlMogbel TA. The bacterial contamination rate of glucose meter test strips in the hospital setting. Saudi Med J 2016; 37(9): 985-995. doi: 10.15537/smj.2016.9.14950.
Databáze: OpenAIRE