Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Jul 2:12:48-53.
doi: 10.1016/j.jctube.2018.06.007. eCollection 2018 Aug.

Factors affectinsg the utilization of Xpert MTB/RIF assay among TB clinic health workers in Addis Ababa

Affiliations

Factors affectinsg the utilization of Xpert MTB/RIF assay among TB clinic health workers in Addis Ababa

Mulualem Agonafir et al. J Clin Tuberc Other Mycobact Dis. .

Erratum in

  • Erratum regarding previously published articles.
    [No authors listed] [No authors listed] J Clin Tuberc Other Mycobact Dis. 2020 Sep 9;21:100177. doi: 10.1016/j.jctube.2020.100177. eCollection 2020 Dec. J Clin Tuberc Other Mycobact Dis. 2020. PMID: 32964144 Free PMC article.

Abstract

Introduction: The diagnostic accuracy of Xpert MTB/RIF is well documented but underutilization is a major challenge in most high burden countries. This appears to be linked with insufficient knowledge of health professionals of using the tool. However, this has not been well studied.

Objective: Our objective was to assess the knowledge of health professionals on Xpert MTB/RIF assay and associated factors in detecting TB/TB drug resistance.

Methods: An institution based cross-sectional study was conducted from April 4 to June 5, 2015, in Addis Ababa that involved 209 healthcare providers working in TB clinics. Structured questionnaire through self-administered interview technique was used to collect the data. We asked them about Xpert on whether they are aware of its place in TB diagnosis, when and for whom it shall be used, its role in treatment monitoring, result interpretation and patient's registration that are diagnosed by Xpert MTB/RIF. We used binary logistic regression analysis to identify associated factors. Odds ratio with 95% CI was computed to assess the strength of the associations.

Results: Of the 209 participants interviewed, the majority 151 (72.2%) were nurses. More than a half of the respondents 114 (54.6%) had poor knowledge. Health professionals with age above 35 years (AOR = 6.253, 95% CI (1.1995, 19.604)) and those who read the Xpert guideline (AOR = 4.231, 95% CI (2.011, 8.900)) were more likely to have good knowledge on Xpert.

Conclusion and recommendation: This study revealed that the overall magnitude of knowledge status was found to be low. Health workers above 35 years and those who read the guideline on Xpert had higher knowledge status on Xpert. Distribution of national guideline on Xpert and assigning experienced clinicians in TB DOTs clinics are recommended.

Keywords: Knowledge; TB; TB clinics; Xpert MTB/RIF.

PubMed Disclaimer

References

    1. World Health Organization. Global tuberculosis report 2016. Geneva, Switzerland.
    1. Federal Ministry of Health of Ethiopia. Health and Health Related Indicators 2007 EFY (2014/2015). Addis Ababa, 2016, Version 1.
    1. Chaisson RE, Martinson NA. Tuberculosis in Africa-combating an HIV- driven crisis. N Engl J Med. 2008;358(11):1089–1092. - PubMed
    1. Boehme CC, Nicol MP, Nabeta P. Feasibility, diagnostic accuracy, and effectiveness of decentralised use of the Xpert MTB/ RIF test for diagnosis of tuberculosis and multidrug resistance: a multicentre implementation study. Lancet. 2011;377:1495–1505. - PMC - PubMed
    1. Federal Ministry of Health . 1st ed. Addis Ababa; 2009. Guideline for program and clinical management of drug resistant tuberculosis.

LinkOut - more resources