TB Research

Scale-up and impact of digital and molecular diagnostic technologies on TB diagnosis and timely linkage to care in Tajikistan

Khushvakhtov S, Davtyan H, Alaverdyan S, Harries AD, Kabirov O, Azamova S, Sharipova F, Sattorov S, et al. (9 authors)

Journal of infection in developing countries · 2021-09

Abstract

Introduction Tajikistan is scaling up molecular diagnostic and digital technologies to strengthen its fight against drug-resistant TB (DR-TB). The study aimed to document national scale-up GeneXpert/GxAlert and Open MRS from 2012-2019 and compare time taken from TB diagnosis to treatment and quality of data recording before and after the introduction of GxAlert. Methodology This was a longitudinal study that included a comparison of historical cohorts. Continuous variables were compared using Wilcoxon Rank-Sum test and categorical variables using the chi square test. Results GeneXpert was introduced in 2011 and scaled up to 46 instruments in 43 (51%) diagnostic laboratories by May 2019. GxAlert was introduced in August 2018 and connected with all GeneXpert instruments by February 2019. Open MRS was introduced in 2014 and implemented in all 108 treatment centers by mid-2018. Time from diagnosis to treatment pre-GxAlert (range 0-749, median 3, days) was significantly longer than with GxAlert (range 0-273, median 3, days) (p 2 weeks was 16% (282/1740) pre-GxAlert and 11% (206/1902) with GxAlert (p Conclusions The scale-up of GeneXpert and digital technologies in Tajikistan was associated with a reduction in the proportion of patients with delays more than 2 weeks between diagnosis and treatment, but data quality recording improved only slightly.

MeSH terms

  • Humans
  • Mycobacterium tuberculosis
  • Tuberculosis, Multidrug-Resistant
  • DNA, Bacterial
  • Bacterial Typing Techniques
  • Longitudinal Studies
  • Tajikistan
  • Time-to-Treatment