Abstract
Multidrug-resistant (MDR) tuberculosis, “Ebola with wings,” is a significant threat to tuberculosis control efforts. Previous prevailing views that resistance was mainly acquired through poor treatment led to decades of focus on drug-sensitive rather than drug-resistant (DR) tuberculosis, driven by the World Health Organization's directly observed therapy, short course strategy. The paradigm has shifted toward recognition that most DR tuberculosis is transmitted and that there is a need for increased efforts to control DR tuberculosis. Yet most people with DR tuberculosis are untested and untreated, driving transmission in the community and in health systems in high-burden settings. The risk of nosocomial transmission is high for patients and staff alike. Lowering transmission risk for MDR tuberculosis requires a combination approach centered on rapid identification of active tuberculosis disease and tuberculosis drug resistance, followed by rapid initiation of appropriate treatment and adherence support, complemented by universal tuberculosis infection control measures in healthcare facilities. It also requires a second paradigm shift, from the classic infection control hierarchy to a novel, decentralized approach across the continuum from early diagnosis and treatment to community awareness and support. A massive scale-up of rapid diagnosis and treatment is necessary to control the MDR tuberculosis epidemic. This will not be possible without intense efforts toward the implementation of decentralized, ambulatory models of care. Increasing political will and resources need to be accompanied by a paradigm shift. Instead of focusing on diagnosed cases, recognition that transmission is driven largely by undiagnosed, untreated cases, both in the community and in healthcare settings, is necessary. This article discusses this comprehensive approach, strategies available, and associated challenges.
Keywords: multidrug-resistant tuberculosis, infection control, diagnosis, treatment, community
In 2001, Lee Reichman described multidrug-resistant (MDR) tuberculosis as “Ebola with wings,” and the specter of an untreatable, airborne infectious disease to which everyone is vulnerable arose [1]. Fourteen years later, MDR tuberculosis has become a substantial threat to tuberculosis control efforts in all settings where tuberculosis remains a significant burden [2]. In many settings, the emergence of even more highly resistant tuberculosis strains—namely, extensively drug-resistant (XDR) tuberculosis—has replaced MDR tuberculosis as the predominant fear.
At the time Reichman published his book, the prevailing view was that tuberculosis drug resistance arose through poor treatment of individuals with tuberculosis and that the resulting drug-resistant strains were not as “transmissible” as the drug-susceptible originator strains [3, 4]. This assumption, now discounted [5], led to a paradigm favoring “prevention” through the World Health Organization's (WHO) directly observed treatment, short-course (DOTS) strategy of addressing drug-sensitive tuberculosis over MDR tuberculosis, resulting in a lack of will and resource allocation to both diagnose and treat MDR tuberculosis, particularly in low-resource settings, where the cost and complexity of MDR tuberculosis treatment was considered a barrier to treatment provision [4, 6]. This paradigm has shifted, and efforts have now been made to expand MDR tuberculosis treatment provision, predominantly in the last 5 years, yet access to both diagnosis and treatment for MDR tuberculosis remains extremely poor globally. Less than 20% of the estimated 450 000 cases that emerge globally each year have access to appropriate, second-line antituberculosis treatment regimens [2]. The vast majority of the MDR tuberculosis burden is undiagnosed and untreated, and is driving transmission in high-burden settings [7–9].
Healthcare workers (HCWs) in low- to middle-income countries (LMICs) are at particular risk of contracting tuberculosis. The risk of tuberculosis attributable to nosocomial, occupational exposure ranged from 25/100 000 per year to 5361/100 000 per year in a 2006 systematic review [10]. Although data on drug-resistant tuberculosis among HCWs are more limited, several reports have described a substantial burden among HCWs with predominantly poor outcomes [11–13]. Nosocomial transmission of tuberculosis and MDR tuberculosis is not just a risk to HCWs; transmission between clients of health services is also a significant risk, particularly in settings of high human immunodeficiency virus (HIV) prevalence [14–18]. Appropriate and sustainable measures to reduce the risk of nosocomial MDR tuberculosis transmission are clearly required.
Since the introduction of the DOTS strategy, tuberculosis control efforts at a population level have centered on case detection and treatment provision to reduce the infectiousness of individuals and thereby halt onward transmission [19]. In contrast, specific tuberculosis infection control (TBIC) efforts in healthcare facilities have traditionally focused on known, diagnosed tuberculosis cases, often with a focus on tuberculosis clinics and tuberculosis inpatient wards. Yet, investigation of tuberculosis and MDR tuberculosis among HCWs has consistently shown that staff in other areas are at just as high, if not higher, risk than those working solely in tuberculosis areas [10, 11, 20]. Although long, arduous, and associated with overall poor outcomes, second-line treatment for MDR tuberculosis has now been demonstrated to rapidly reduce individual infectiousness [21], in a similar fashion to first-line treatment for drug-susceptible tuberculosis.
Lowering transmission risk for MDR tuberculosis requires a combination approach centered on rapid identification of active tuberculosis disease and tuberculosis drug resistance, followed by rapid initiation of appropriate treatment and adherence support, complemented by universal TBIC measures in healthcare facilities. The FAST (Find cases Actively, Separate safely, and Treat effectively) strategy has been proposed [22]. For MDR tuberculosis, this approach requires a paradigm shift from the classic infection control hierarchy of managerial, administrative, environmental, and personal protective controls in healthcare facilities toward a novel, decentralized approach across the continuum from early diagnosis and treatment to community awareness and support, based on the reality that the current epidemic is driven by undiagnosed and untreated individuals in the community and in the health system. This article aims to discuss this comprehensive approach, strategies available, and associated challenges.
EARLY MDR TUBERCULOSIS DETECTION
The need for early detection of MDR tuberculosis is increasingly recognized [23]. However, in many settings, there are significant barriers to increased early detection and treatment of MDR tuberculosis. Until recently, detection of resistance relied on culture followed by drug susceptibility testing (DST), access to which is often restricted to central reference laboratories, with results only available after weeks or months. As a result, in 2013, <10% of patients with newly bacteriologically confirmed tuberculosis globally received any DST [2].
In 2010, the WHO recommended the use of the Xpert MTB/RIF test, a rapid polymerase chain reaction assay to detect tuberculosis and rifampicin resistance simultaneously [24, 25]. Although less sensitive than culture and phenotypic DST, the Xpert test has the potential to make universal access to DST a reality. However, cost remains a barrier in many settings despite negotiated cost reductions for LMICs [26]. To date, South Africa is likely to be the only high-burden country to implement universal access to DST via Xpert [27]. Even with universal access, effective use of rapid DST requires testing individuals with presumptive tuberculosis at first presentation. Patients often have several encounters with the health system before tuberculosis testing is offered, resulting in significant transmission risk [28]. Changing this requires both changing HCW practice to “think” tuberculosis, in addition to community-based awareness around tuberculosis symptoms and early presentation.
RAPID MDR TUBERCULOSIS TREATMENT INITIATION AND THE NEED FOR DECENTRALIZED, AMBULATORY MODELS OF CARE
Once diagnosed, access to second-line treatment is severely limited in many settings. High cost, complexity of treatment, poor outcomes, and lack of setting-specific models of care are listed as barriers to widespread treatment provision [29, 30]. Early recommendations for a centralized model of care only where affordable [4] resulted in the treatment of small cohorts of patients in highly specialized DR tuberculosis hospitals, often with considerable delays [31].
Although the number of patients receiving treatment is increasing, albeit slowly (>90 000 patients were reported to have been initiated on treatment in 2013 [2]), the gap between the number of patients diagnosed and those receiving treatment is also increasing. Between 2012 and 2013, the number of patients with diagnosed MDR tuberculosis not initiated on treatment increased from 16 000 to 39 000, excluding the unknown number of patients detected in previous years and not treated [2, 32]. With increased access to the Xpert test, the numbers diagnosed will rapidly increase. Reliance on centralized treatment models will increase the need for hospital beds—and thus the treatment gap—exponentially. For example, in South Africa, only 10 663 of the 26 023 patients diagnosed with rifampicin-resistant tuberculosis were reported to have been started on treatment in 2013. Similarly, >40% of diagnosed patients in India were not initiated on treatment in 2013 [2]. Centralized models of care, which remain the norm in many high-burden settings, are reliant on medical specialists and long periods of hospitalization. Such models of care may become major bottlenecks for rapid scale-up of treatment, resulting in ongoing transmission in communities and healthcare facilities.
In low-burden settings with significant resources, hospitalization may provide an opportunity for specialist, individualized care and true isolation of patients in single, negative-pressure rooms [33]. In contrast, in most settings with a high MDR tuberculosis burden, hospitalization is associated with significant delays to receive treatment, and patients are most often admitted to multiple-bed wards, with a significant risk of nosocomial cross-infection from a small number of patients for whom treatment is ineffective [16]. Decentralized, ambulatory models of care for MDR and XDR tuberculosis treatment, with potential for nurse case management [34], are more patient-centered, improve continuity of care, can lead to improved outcomes, and are associated with much-improved case detection [35–39]. A recent systematic review found outcomes of community-based MDR and XDR tuberculosis treatment to be similar to overall treatment outcomes from 3 systematic reviews on MDR tuberculosis therapy [35]. In addition, a smaller burden of patients requiring hospitalization allows more effective use of hospital beds, potentially allowing for smaller wards or single-bed rooms, and prioritization of clinician time for patients who need it most. The provision of more effective treatment regimens, utilizing new and repurposed drugs, from the outset should also reduce the proportion of patients for whom treatment fails and the consequent transmission risk associated with these individuals [40].
Decentralized models of care are substantially cheaper, allowing scarce health resources to go further [41]. Furthermore, a mathematical modeling study based on the transmission of XDR tuberculosis in South Africa suggests that a large proportion of newly transmitted cases could be averted through a combination of community-based care, simple mask wearing, and more appropriate use of inpatient facilities [42]. Based on the need to scale up treatment and improve access, ambulatory, decentralized models of care are now supported [43], and WHO recommendations rightly emphasize the high risk of transmission among patients and personnel in healthcare facilities with poor infection control measures.
FEAR, MISCONCEPTIONS, AND INVISIBLE CASES
In contrast to WHO recommendations, several settings have adopted models of care with extensive use of hospitalization to ensure specialized care and, in some cases, based on the premise of isolation of patients to prevent transmission [2, 44–46]. Fear and stigma among communities, policy makers, and HCWs may lead to irrational and discriminatory policies, practices, and behaviors. It is not uncommon for HCWs to be afraid of and even refuse to care for patients with diagnosed MDR tuberculosis on treatment, but not of the undiagnosed (and therefore untreated) patients sitting in the waiting room or patients who do not respond to first-line treatment several months after treatment initiation (“invisible” cases). Removing patients from the community who have been diagnosed and initiated on appropriate treatment fails to acknowledge that transmission is driven by the much larger proportion of undiagnosed and untreated patients. Such policies and practices create a false sense of security among HCWs, and in health systems generally, that all DR tuberculosis patients are now isolated in the hospital and no longer constitute a risk to the community or themselves.
Changing this perception requires a much greater focus on training and education at all levels of the health system and in the general community. Essential to this will be emphasizing the contribution of direct transmission by invisible cases in the current epidemic, and reversing years of poor attitudes toward patients with drug-resistant disease based on incorrect assumptions that MDR tuberculosis is the result of poor behavior by patients themselves. Examples of successful strategies exist and also result in much-improved support for individual patients [47].
TUBERCULOSIS INFECTION CONTROL STRATEGIES
Strategies for infection control for MDR tuberculosis are exactly the same as for drug-susceptible tuberculosis. In the absence of effective detection and treatment for MDR tuberculosis, healthcare facilities are often sources of infection for the community [31, 48, 49]. Although TBIC policies have been in existence for some time, implementation of these has been extremely variable across high-burden settings. A lack of evidence to support which interventions result in the greatest benefit has led to a lack of clear implementation strategies and motivation among policy makers and HCWs. In addition, many infection control policies focus on already identified patients, restricting infection control measures to areas where these known tuberculosis patients are to be found and neglecting other congregate areas with significant transmission risk from persons with undiagnosed tuberculosis.
The emergence of MDR and XDR tuberculosis can potentially drive increased efforts in TBIC, thus reducing the risk of all tuberculosis transmission. Given the challenges that remain for expanding early case detection and rapid treatment initiation, specific TBIC, coupled with step-by-step implementation plans, are needed. These need to be context-specific, easy to implement, and sustainable within already stressed health systems. While cost and lack of resources are commonly cited as barriers to TBIC, these costs need to be seen in the light of the high cost of treating a single MDR tuberculosis patient, recently estimated at a mean of approximately US$8000 in South Africa [50].
STRUCTURAL TBIC MEASURES
While there is often a disproportionate focus on personal protective equipment (PPE) for TBIC, this is likely a reaction to the failure to provide a safer environment in healthcare facilities. Table 1 demonstrates that overcrowding, lack of space, and the absence of viable environmental TBIC measures are common barriers. Several studies also suggest that even when implemented, such structural measures are focused primarily on designated tuberculosis clinics and wards. Diagnosed tuberculosis patients, including those with MDR tuberculosis, should be receiving appropriate treatment, thereby lowering transmission risk. While structural TBIC measures are needed in these areas, they are also required throughout healthcare facilities, particularly in settings of high tuberculosis and high MDR tuberculosis. The provision of adequate resources is clearly a challenge, but the lack of low-cost, low-maintenance interventions for resource-constrained settings is also of concern. These should include appropriate modifications to improve ventilation for existing physical structures [68] and design options for new buildings. Developing an evidence base for such interventions is much needed.
Table 1.
Interpersonal | Health Facility | Health System |
---|---|---|
|
|
|
Abbreviations: DST, drug susceptibility testing; HCW, healthcare worker; IC, infection control; MDR, multidrug-resistant; PPE, personal protective equipment; TBIC, tuberculosis infection control; UVGI, ultraviolet germicidal irradiation.
BEHAVIORAL STRATEGIES TO IMPROVE TBIC IMPLEMENTATION
Healthcare workers remain at greater risk of tuberculosis infection and active tuberculosis disease [10]. Despite mounting evidence of the impact of TBIC interventions, HCWs struggle with implementation, despite reporting heightened fear of infection with drug-resistant tuberculosis strains.
In complex clinical settings, individual-, facility-, and systems-level barriers to TBIC measures (eg, the use of PPE as well as environmental and administrative interventions) reduce HCW adherence (Table 1), thereby increasing their risk of repeated exposure, infection, and active tuberculosis disease. The lack of attention and resources for TBIC are consistent barriers across multiple studies in different settings. The repeated reports of deficient TBIC across clinical settings, countries, and years, demonstrates that a comprehensive, multicomponent TBIC program is required to address these issues. The study and application of human factor analysis in healthcare to improve patient and HCW safety is urgently needed.
MONITORING AND EVALUATION
Whereas the DOTS strategy has had comprehensive monitoring and reporting embedded within the program since its inception, reporting for MDR tuberculosis has been more ad hoc. It is only since 2013 that the WHO has produced reports on the numbers of cases diagnosed, treatment initiation, and treatment outcomes. Given that case detection and treatment initiation are key to reducing transmission, monitoring progress in this area is fundamental [29]. Unfortunately, many national programs only report on patients receiving treatment, and not the large proportion who are diagnosed but do not receive treatment [2].
Given that tuberculosis and, specifically, MDR tuberculosis among HCWs are important indicators of efforts to reduce community transmission through early detection and treatment initiation, along with efforts to reduce nosocomial transmission through TBIC, monitoring disease among HCWs should be a priority. Clearly addressing issues of confidentiality, stigma, and income protection for HCWs would be important to moving this priority forward.
Monitoring and evaluation of TBIC measures requires collaboration and information sharing among different stakeholders (eg, programs related to tuberculosis, HIV, hospital management, occupational health, quality control and assurance, and infection control). Existing opportunities should be continuously explored to synergize efforts and improve efficiency.
CONCLUSIONS
Reducing transmission of DR tuberculosis will require concerted efforts to improve case detection and initiate appropriate treatment rapidly. This requires a response from the whole health system, and should encompass universal implementation of specific TBIC measures in healthcare facilities. These 2 spheres of activity are intricately linked, and should be seen as part of a single response. A massive scale-up of rapid diagnosis and treatment is necessary to control the MDR tuberculosis epidemic. This will not be possible without intense efforts toward the implementation of decentralized, ambulatory models of care. Increasing political will and resources need to be accompanied by a paradigm shift. Instead of focusing on diagnosed cases, recognition that transmission is driven largely by undiagnosed, untreated cases, both in the community and in healthcare settings, is necessary.
Notes
Supplement sponsorship. This article appears as part of the supplement “Healthcare Workers and Tuberculosis Prevention,” sponsored by Aeras.
Potential conflicts of interest. H. C. is employed by the Wellcome Trust and the University of Cape Town, and has received grants or has grants pending from the Bill & Melinda Gates Foundation and the UK Medical Research Council. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
References
- 1.Reichman LB, Tanne JH. Timebomb: The global epidemic of multi-drug resistant tuberculosis. New York: McGraw-Hill, 2001. [Google Scholar]
- 2.World Health Organization. Global tuberculosis report 2014. Geneva, Switzerland: WHO, 2014. [Google Scholar]
- 3.Middlebrook G, Cohn ML. Some observations on the pathogenicity of isoniazid-resistant variants of tubercle bacilli. Science 1953; 118:297–9. [DOI] [PubMed] [Google Scholar]
- 4.World Health Organization. Guidelines for the management of drug-resistant tuberculosis. Geneva, Switzerland: WHO, 1996. [Google Scholar]
- 5.Cohen T, Sommers B, Murray M. The effect of drug resistance on the fitness of Mycobacterium tuberculosis. Lancet Infect Dis 2003; 3:13–21. [DOI] [PubMed] [Google Scholar]
- 6.Coker R. Should tuberculosis programmes invest in second-line treatments for multidrug-resistant tuberculosis (MDR-TB)? Int J Tuberc Lung Dis 2002; 6:649–50. [PubMed] [Google Scholar]
- 7.Zhao M, Li X, Xu P et al. Transmission of MDR and XDR tuberculosis in Shanghai, China. PLoS One 2009; 4:e4370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Moodley P, Shah NS, Tayob N et al. Spread of extensively drug-resistant tuberculosis in KwaZulu-Natal province, South Africa. PLoS One 2011; 6:e17513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gumusboga A, Aung KJM, Rigouts L, Van Deun A. Transmission of multidrug-resistant and extensively drug-resistant tuberculosis in rural Bangladesh: lessons learnt. Public Health Action 2012; 2:76–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Joshi R, Reingold AL, Menzies D, Pai M. Tuberculosis among health-care workers in low- and middle-income countries: a systematic review. PLoS Med 2006; 3:e494. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Tudor C, Van der Walt M, Margot B et al. Tuberculosis among health care workers in KwaZulu-Natal, South Africa: a retrospective cohort analysis. BMC Public Health 2014; 14:891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Jarand J, Shean K, O'Donnell M et al. Extensively drug-resistant tuberculosis (XDR-TB) among health care workers in South Africa. Trop Med Int Health 2010; 15:1179–84. [DOI] [PubMed] [Google Scholar]
- 13.O'Donnell MR, Jarand J, Loveday M et al. High incidence of hospital admissions with multidrug-resistant and extensively drug-resistant tuberculosis among South African health care workers. Ann Intern Med 2010; 153:516–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Gandhi NR, Weissman D, Moodley P et al. Nosocomial transmission of extensively drug-resistant tuberculosis in a rural hospital in South Africa. J Infect Dis 2013; 207:9–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Wenger PN, Otten J, Breeden A, Orfas D, Beck-Sague CM, Jarvis WR. Control of nosocomial transmission of multidrug-resistant Mycobacterium tuberculosis among healthcare workers and HIV-infected patients. Lancet 1995; 345:235–40. [DOI] [PubMed] [Google Scholar]
- 16.Cox HS, Sibilia K, Feuerriegel S et al. Emergence of extensive drug resistance during treatment for multidrug-resistant tuberculosis. N Engl J Med 2008; 359:2398–400. [DOI] [PubMed] [Google Scholar]
- 17.Gelmanova IY, Keshavjee S, Golubchikova VT et al. Barriers to successful tuberculosis treatment in Tomsk, Russian Federation: non-adherence, default and the acquisition of multidrug resistance. Bull World Health Organ 2007; 85:703–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Isaakidis P, Das M, Kumar AM et al. Alarming levels of drug-resistant tuberculosis in HIV-infected patients in metropolitan Mumbai, India. PLoS One 2014; 9:e110461. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.World Health Organization. Framework for effective tuberculosis control. Report No. WHO/TB/94.179 Geneva, Switzerland: WHO Tuberculosis Programme, 1994. [Google Scholar]
- 20.Escombe AR, Huaroto L, Ticona E et al. Tuberculosis transmission risk and infection control in a hospital emergency department in Lima, Peru. Int J Tuberc Lung Dis 2010; 14:1120–6. [PubMed] [Google Scholar]
- 21.Dharmadhikari AS, Mphahlele M, Venter K et al. Rapid impact of effective treatment on transmission of multidrug-resistant tuberculosis. Int J Tuberc Lung Dis 2014; 18:1019–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Barrera E, Livchits V, Nardell E. F-A-S-T: a refocused, intensified, administrative tuberculosis transmission control strategy. Int J Tuberc Lung Dis 2015; 19:381–4. [DOI] [PubMed] [Google Scholar]
- 23.Nardell E, Dharmadhikari A. Turning off the spigot: reducing drug-resistant tuberculosis transmission in resource-limited settings. Int J Tuberc Lung Dis 2010; 14:1233–43. [PMC free article] [PubMed] [Google Scholar]
- 24.World Health Organization. Roadmap for rolling out Xpert MTB/RIF for rapid diagnosis of TB and MDR-TB. Geneva, Switzerland: WHO, 2010. [Google Scholar]
- 25.Boehme CC, Nicol MP, Nabeta P et al. 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; 377:1495–505. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.FIND Diagnostics. Negotiated prices for Xpert® MTB/RIF and FIND country list. Available at: http://www.finddiagnostics.org/about/what_we_do/successes/find-negotiated-prices/xpert_mtb_rif_with-warranty.html Accessed 11 February 2015.
- 27.Qin ZZ, Pai M, Van Gemert W, Sahu S, Ghiasi M, Creswell J. How is Xpert MTB/RIF being implemented in 22 high tuberculosis burden countries? Eur Respir J 2015; 45:549–54. [DOI] [PubMed] [Google Scholar]
- 28.Storla DG, Yimer S, Bjune GA. A systematic review of delay in the diagnosis and treatment of tuberculosis. BMC Public Health 2008; 8:15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Falzon D, Jaramillo E, Wares F, Zignol M, Floyd K, Raviglione MC. Universal access to care for multidrug-resistant tuberculosis: an analysis of surveillance data. Lancet Infect Dis 2013; 13:690–7. [DOI] [PubMed] [Google Scholar]
- 30.World Health Organization. Towards universal access to diagnosis and treatment of multidrug-resistant and extensively drug-resistant tuberculosis by 2015: WHO Progress Report 2011. Geneva, Switzerland: WHO, 2011. [Google Scholar]
- 31.Zhao Y, Xu S, Wang L et al. National survey of drug-resistant tuberculosis in China. N Engl J Med 2012; 366:2161–70. [DOI] [PubMed] [Google Scholar]
- 32.World Health Organization. Multidrug-resistant tuberculosis (MDR-TB) 2014 update. Geneva, Switzerland: WHO, 2014. [Google Scholar]
- 33.National Institute for Health and Care Excellence. Tuberculosis: clinical diagnosis and management of tuberculosis, and measures for its prevention and control. Available at: www.nice.org.uk/guidance. Accessed 27 May 2015. [PubMed]
- 34.Farley JE, Kelly AM, Reiser K et al. Development and evaluation of a pilot nurse case management model to address multidrug-resistant tuberculosis (MDR-TB) and HIV in South Africa. PLoS One 2014; 9:e111702. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Weiss P, Chen W, Cook VJ, Johnston JC. Treatment outcomes from community-based drug resistant tuberculosis treatment programs: a systematic review and meta-analysis. BMC Infect Dis 2014; 14:333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Padayatchi N, Friedland G. Decentralised management of drug-resistant tuberculosis (MDR- and XDR-TB) in South Africa: an alternative model of care. Int J Tuberc Lung Dis 2008; 12:978–80. [PubMed] [Google Scholar]
- 37.Cox H, Hughes J, Daniels J et al. Community-based treatment of drug-resistant tuberculosis in Khayelitsha, South Africa. Int J Tuberc Lung Dis 2014; 18:441–8. [DOI] [PubMed] [Google Scholar]
- 38.Loveday M, Wallengren K, Brust J et al. Community-based care vs. centralised hospitalisation for MDR-TB patients, KwaZulu-Natal, South Africa. Int J Tuberc Lung Dis 2015; 19:163–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Malla P, Kanitz EE, Akhtar M et al. Ambulatory-based standardized therapy for multi-drug resistant tuberculosis: experience from Nepal, 2005–2006. PLoS One 2009; 4:e8313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Cox H, Furin J, Mitnick C, Daniels C, Cox V, Goemaere E. The need to accelerate access to new drugs for multidrug-resistant tuberculosis. Bull World Health Organ 2015; 93:491–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Sinanovic E, Ramma L, Vassall A et al. Impact of reduced hospitalisation on the cost of treatment for drug-resistant tuberculosis in South Africa. Int J Tuberc Lung Dis 2015; 19:172–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Basu S, Andrews JR, Poolman EM et al. Prevention of nosocomial transmission of extensively drug-resistant tuberculosis in rural South African district hospitals: an epidemiological modelling study. Lancet 2007; 370:1500–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.World Health Organization. Guidelines for the programmatic management of drug-resistant tuberculosis: 2011 update. Geneva, Switzerland: WHO, 2011. [PubMed] [Google Scholar]
- 44.Oladimeji O, Isaakidis P, Obasanya OJ et al. Intensive-phase treatment outcomes among hospitalized multidrug-resistant tuberculosis patients: results from a nationwide cohort in Nigeria. PLoS One 2014; 9:e94393. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.National Department of Health, South Africa. Management of drug-resistant tuberculosis: policy guidelines (updated January 2013). South Africa: National Department of Health, 2013. [Google Scholar]
- 46.Mor Z, Goldblatt D, Kaidar-Shwartz H, Cedar N, Rorman E, Chemtob D. Drug-resistant tuberculosis in Israel: risk factors and treatment outcomes. Int J Tuberc Lung Dis 2014; 18:1195–201. [DOI] [PubMed] [Google Scholar]
- 47.Médecins Sans Frontières. Scaling up diagnosis and treatment of drug-resistant tuberculosis in Khayelitsha, South Africa, 2011. Available at: http://www.msfaccess.org/sites/default/files/MSF_assets/TB/Docs/TB_report_ScalingUpDxTxKhaye_ENG_2011.pdf. Accessed 1 May 2015.
- 48.Shenoi SV, Escombe AR, Friedland G. Transmission of drug-susceptible and drug-resistant tuberculosis and the critical importance of airborne infection control in the era of HIV infection and highly active antiretroviral therapy rollouts. Clin Infect Dis 2010; 50(suppl 3):S231–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Gandhi NR, Moll A, Sturm AW et al. Extensively drug-resistant tuberculosis as a cause of death in patients co-infected with tuberculosis and HIV in a rural area of South Africa. Lancet 2006; 368:1575–80. [DOI] [PubMed] [Google Scholar]
- 50.Cox H, Ramma L, Wilkinson L, Azevedo V, Sinanovic E. Cost per patient of treatment for rifampicin-resistant tuberculosis in a community-based program in Khayelitsha, South Africa. Trop Med Int Health 2015; 20:1337–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Farley JE, Tudor C, Mphahlele M et al. A national infection control evaluation of drug-resistant tuberculosis hospitals in South Africa. Int J Tuberc Lung Dis 2012; 16:82–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Zelnick JR, Gibbs A, Loveday M, Padayatchi N, O'Donnell MR. Health-care workers’ perspectives on workplace safety, infection control, and drug-resistant tuberculosis in a high-burden HIV setting. J Public Health Policy 2013; 34:388–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Engelbrecht M, van Rensburg A. Tuberculosis infection control practices in primary healthcare facilities in three districts of South Africa. South Afr J Epidemiol Infect 2013; 28:221–6. [Google Scholar]
- 54.Brouwer M, Coelho E, das Dores Mosse C, van Leth F. Implementation of tuberculosis infection prevention and control in Mozambican health care facilities. Int J Tuberc Lung Dis 2015; 19:44–9. [DOI] [PubMed] [Google Scholar]
- 55.Brouwer M, Coelho E, Mosse C, Brondi L, Winterton L, van Leth F. Healthcare workers’ challenges in the implementation of tuberculosis infection prevention and control measures in Mozambique. PLoS One 2014; 9:e114364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.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; 79:333–8. [DOI] [PubMed] [Google Scholar]
- 57.Kanjee Z, Amico KR, Li F, Mbolekwa K, Moll AP, Friedland GH. Tuberculosis infection control in a high drug-resistance setting in rural South Africa: information, motivation, and behavioral skills. J Infect Public Health 2012; 5:67–81. [DOI] [PubMed] [Google Scholar]
- 58.Nichol K, McGeer A, Bigelow P, O'Brien-Pallas L, Scott J, Holness DL. Behind the mask: determinants of nurse's adherence to facial protective equipment. Am J Infect Control 2013; 41:8–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Robert J, Affolabi D, Awokou F et al. Assessment of organizational measures to prevent nosocomial tuberculosis in health facilities of 4 sub-Saharan countries in 2010. Infect Control Hosp Epidemiol 2013; 34:190–5. [DOI] [PubMed] [Google Scholar]
- 60.Sissolak D, Marais F, Mehtar S. TB infection prevention and control experiences of South African nurses—a phenomenological study. BMC Public Health 2011; 11:262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Woith W, Volchenkov G, Larson J. Barriers and motivators affecting tuberculosis infection control practices of Russian health care workers. Int J Tuberc Lung Dis 2012; 16:1092–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Temesgen C, Demissie M. Knowledge and practice of tuberculosis infection control among health professionals in northwest Ethiopia; 2011. BMC Health Serv Res 2014; 14:593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Naidoo S, Seevnarain K, Nordstrom DL. Tuberculosis infection control in primary health clinics in eThekwini, KwaZulu-Natal, South Africa. Int J Tuberc Lung Dis 2012; 16:1600–4. [DOI] [PubMed] [Google Scholar]
- 64.Buregyeya E, Nuwaha F, Verver S et al. Implementation of tuberculosis infection control in health facilities in Mukono and Wakiso districts, Uganda. BMC Infect Dis 2013; 13:360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Tudor C, Mphahlele M, Van der Walt M, Farley JE. Health care workers’ fears associated with working in multidrug- and or extensively-resistant tuberculosis wards in South Africa. Int J Tuberc Lung Dis 2013; 17(10 suppl 1):22–9. [DOI] [PubMed] [Google Scholar]
- 66.Mphahlele M, Tudor C, Farley JE. An infection control audit in 10 primary health-care facilities in the Western Cape Province of South Africa. Int J Infect Control 2012; 8. [Google Scholar]
- 67.Zhou F, Zhang L, Gao L et al. Latent tuberculosis infection and occupational protection among health care workers in two types of public hospitals in China. PLoS One 2014; 9:e104673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Cox H, Escombe R, McDermid C et al. Wind-driven roof turbines: a novel way to improve ventilation for TB infection control in health facilities. PLoS One 2012; 7:e29589. [DOI] [PMC free article] [PubMed] [Google Scholar]