Resistance to anti-tuberculosis (TB) medicines is a major public health threat in most countries of the former Soviet Union. As no representative and quality-assured information on the magnitude of this problem existed in Belarus, a survey was conducted in the capital city of Minsk.Between November 2009 and December 2010, 156 consecutively diagnosed new and 68 previously treated culture-positive TB patients residing in Minsk were enrolled in the survey. Mycobacterium tuberculosis isolates were obtained from each patient and tested for susceptibility to first- and second-line anti-TB drugs.Multidrug-resistant (MDR)-TB was found in 35.3% (95% CI 27.7–42.8) of new patients and 76.5% (95% CI 66.1–86.8) of those previously treated. Overall, nearly one in two patients enrolled had MDR-TB. Extensively drug-resistant TB was reported in 15 of the 107 MDR-TB patients (14.0%, 95% CI 7.3–20.7). Patients <35 yrs of age have shown a two times higher odds ratio of multidrug-resistant TB than those aged >35 yrs.The findings of this survey in Minsk city are alarming and represent the highest proportions of MDR-TB ever recorded in the world. This study greatly contributes to the understanding of the burden of drug-resistant TB in urban areas of Belarus.
In 2014, the World Health Organization (WHO) developed the End TB Strategy in response to a World Health Assembly Resolution requesting Member States to end the worldwide epidemic of tuberculosis (TB) by 2035. For the strategy's objectives to be realised, the next 20 years will need novel solutions to address the challenges posed by TB to health professionals, and to affected people and communities. Information and communication technology presents opportunities for innovative approaches to support TB efforts in patient care, surveillance, programme management and electronic learning. The effective application of digital health products at a large scale and their continued development need the engagement of TB patients and their caregivers, innovators, funders, policy-makers, advocacy groups, and affected communities.In April 2015, WHO established its Global Task Force on Digital Health for TB to advocate and support the development of digital health innovations in global efforts to improve TB care and prevention. We outline the group's approach to stewarding this process in alignment with the three pillars of the End TB Strategy. The supplementary material of this article includes target product profiles, as developed by early 2016, defining nine priority digital health concepts and products that are strategically positioned to enhance TB action at the country level.
A recent innovation to help patients adhere to daily tuberculosis (TB) treatment over many months is video (or virtually) observed therapy (VOT). VOT is becoming increasingly feasible as mobile telephone applications and tablet computers become more widely available. Studies of the effectiveness of VOT in improving TB patient outcomes are being conducted.
The treatment of tuberculosis requires daily intake of multiple medications for between 6 months and 2 years, or more [1, 2]. This long duration predisposes to the interruption of medications with the risk of the emergence of drug resistance, death, disease persistence and continued transmission of tuberculosis in the community. Directly observed treatment, together with patient support, has been recommended to improve adherence [3]. However, daily treatment observation presents challenges for both patients and observers, which have limited its implementation [4]. Digital technologies, like video (or virtually)-observed treatment (VOT) can help bridge the gap between patients and health services and promote adherence [5]. VOT usually requires patients to film themselves taking medications on a computer or mobile device and then transmit these images to a remote observer via the internet [6–9]. Video technology has been available for more than a decade, but the increasing availability of smartphones and broadband internet is making VOT practical to implement even in resource-constrained settings.
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