Hostname: page-component-8448b6f56d-xtgtn Total loading time: 0 Render date: 2024-04-19T19:16:23.217Z Has data issue: false hasContentIssue false

Determinants of Tuberculosis Infection Control–Related Behaviors Among Healthcare Workers in the Country of Georgia

Published online by Cambridge University Press:  04 February 2015

Veriko Mirtskhulava*
Affiliation:
National Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia “AIETI” Medical School, David Tvildiani Medical University, Tbilisi, Georgia
Jennifer A. Whitaker
Affiliation:
Divisions of General Internal Medicine and Infectious Diseases, Mayo Clinic, Rochester, Minnesota, USA
Maia Kipiani
Affiliation:
National Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia
Drew A. Harris
Affiliation:
Department of Pulmonary, Critical Care and Sleep Medicine, Yale University New Haven, Connecticut, USA
Nino Tabagari
Affiliation:
“AIETI” Medical School, David Tvildiani Medical University, Tbilisi, Georgia
Ashli A. Owen-Smith
Affiliation:
Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
Russell R. Kempker
Affiliation:
Division of Infectious Diseases, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA
Henry M. Blumberg
Affiliation:
Division of Infectious Diseases, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA Departments of Epidemiology and Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
*
Address correspondence to Veriko Mirtskhulava, MD, MPH. “AIETI” Medical School, David Tvildiani Medical University, 2/6 Ljubljana Street, Tbilisi 0159, Georgia (verikomir@gmail.com).

Abstract

OBJECTIVE

To better understand tuberculosis (TB) infection control (IC) in healthcare facilities (HCFs) in Georgia.

DESIGN

A cross-sectional evaluation of healthcare worker (HCW) knowledge, beliefs and behaviors toward TB IC measures including latent TB infection (LTBI) screening and treatment of HCWs.

SETTING

Georgia, a high-burden multidrug-resistant TB (MDR-TB) country.

PARTICIPANTS

HCWs from the National TB Program and affiliated HCFs.

METHODS

An anonymous self-administered 55-question survey developed based on the Health Belief Model (HBM) conceptual framework.

RESULTS

In total, 240 HCWs (48% physicians; 39% nurses) completed the survey. The overall average TB knowledge score was 61%. Only 60% of HCWs reported frequent use of respirators when in contact with TB patients. Only 52% of HCWs were willing to undergo annual LTBI screening; 48% were willing to undergo LTBI treatment. In multivariate analysis, HCWs who worried about acquiring MDR-TB infection (adjusted odds ratio [aOR], 1.7; 95% confidence interval [CI], 1.28–2.25), who thought screening contacts of TB cases is important (aOR, 3.4; 95% CI, 1.35–8.65), and who were physicians (aOR, 1.7; 95% CI, 1.08–2.60) were more likely to accept annual LTBI screening. With regard to LTBI treatment, HCWs who worked in an outpatient TB facility (aOR, 0.3; 95% CI, 0.11–0.58) or perceived a high personal risk of TB reinfection (aOR, 0.5; 95% CI, 0.37–0.64) were less likely to accept LTBI treatment.

CONCLUSION

The concern about TB reinfection is a major barrier to HCW acceptance of LTBI treatment. TB IC measures must be strengthened in parallel with or prior to the introduction of LTBI screening and treatment of HCWs.

Infect Control Hosp Epidemiol 2015;00(0): 1–7

Type
Original Articles
Copyright
© 2015 by The Society for Healthcare Epidemiology of America. All rights reserved 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

PREVIOUS PRESENTATION. Presented in part at the 43rd World Conference on Lung Health of the International Union of Tuberculosis and Lung Diseases (the Union), Kuala Lumpur, Malaysia, 2012 (abstract, poster #PC-280-16).

*

These authors contributed equally to this work.

References

1. Bock, NN, Jensen, PA, Miller, B, Nardell, E. Tuberculosis infection control in resource-limited settings in the era of expanding HIV care and treatment. J Infect Dis 2007;196(Suppl 1):S108S113.Google Scholar
2. Granich, R, Binkin, NJ, Jarvis, WR, et al. Guidelines for the prevention of tuberculosis in health care facilities in resource-limited settings. Geneva: World Health Organization; 1999.Google Scholar
3. Jensen, PA, Lambert, LA, Iademarco, MF, Ridzon R, Cdc. Guidelines for preventing the transmission of Mycobacterium tuberculosis in health-care settings, 2005. MMWR Recomm Rep 2005;54(RR-17):1141.Google Scholar
4. Members of the Ad Hoc Committee for the Guidelines for Preventing the Transmission fo Tuberculosis in Canadian Health Care F, Other Institutional S. Guidelines for preventing the transmission of tuberculosis in Canadian Health Care Facilities and other institutional settings. Can Commun Dis Rep 1996;22(Suppl 1:i–iv):155.Google Scholar
5. Mirtskhulava, V, Kempker, R, Shields, KL, et al. Prevalence and risk factors for latent tuberculosis infection among health care workers in Georgia. Int J Tuberc Lung Dis 2008;12:513519.Google ScholarPubMed
6. J, AW, Mirtskhulava, V, Kipiani, M, et al. Prevalence and incidence of latent tuberculosis infection in georgian healthcare workers. PLoS One 2013;8:e58202.Google Scholar
7. World Health Organization. Global tuberculosis report 2013 (in IRIS). Geneva: World Health Organization; 2013.Google Scholar
8. World Health Organization. WHO policy on TB infection control in health-care facilities, congregate settings and households. Geneva: World Health Organization; 2009.Google Scholar
9. Carpenter, CJ. A meta-analysis of the effectiveness of health belief model variables in predicting behavior. Health Commun 2010;25:661669.Google Scholar
10. Chang, LC, Hung, LL, Chou, YW, Ling, LM. Applying the health belief model to analyze intention to participate in preventive pulmonary tuberculosis chest X-ray examinations among indigenous nursing students. J Nurs Res 2007;15:7887.Google Scholar
11. Harrison, JA, Mullen, PD, Green, LW. A meta-analysis of studies of the Health Belief Model with adults. Health Educ Res 1992;7:107116.Google Scholar
12. Green, EC, Murphy, E. Health belief model. In: The Wiley Blackwell Encyclopedia of Health, Illness, Behavior, and Society. Hoboken, NJ: John Wiley & Sons; 2014.Google Scholar
13. Flaskerud, JH. Is the Likert scale format culturally biased? Nurs Res 1988;37:185186.Google Scholar
14. Komorita, SS. Attitude content, intensity, and the neutral point on a Likert scale. J Soc Psychol 1963;61:327334.Google Scholar
15. Harris, PA, Taylor, R, Thielke, R, Payne, J, Gonzalez, N, Conde, JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009;42:377381.Google Scholar
16. Kleinbaum, DG, Klein, M, Pryor, ER. Logistic Regression: A Self-Learning Text. 3rd ed. New York: Springer; 2010.Google Scholar
17. McCrum-Gardner, E. Which is the correct statistical test to use? Br J Oral Maxillofac Surg 2008;46:3841.Google Scholar
18. Palanduz, A, Gultekin, D, Kayaalp, N. Follow-up of compliance with tuberculosis treatment in children: monitoring by urine tests. Pediatr Pulmonol 2003;36:5557.Google Scholar
19. White, MC, Tulsky, JP, Goldenson, J, Portillo, CJ, Kawamura, M, Menendez, E. Randomized controlled trial of interventions to improve follow-up for latent tuberculosis infection after release from jail. Arch Intern Med 2002;162:10441050.CrossRefGoogle ScholarPubMed
20. Kanjee, Z, Catterick, K, Moll, AP, Amico, KR, Friedland, GH. Tuberculosis infection control in rural South Africa: survey of knowledge, attitude and practice in hospital staff. J Hosp Infect 2011;79:333338.Google Scholar
Supplementary material: File

Mirtskhulava supplementary material

Mirtskhulava supplementary material 1

Download Mirtskhulava supplementary material(File)
File 25.7 KB