24-locus MIRU-VNTR and Spoligotyping analysis of drug-resistant Mycobacterium tuberculosis strains isolated from Northeastern Thailand.

Tuberculosis, caused by Mycobacterium tuberculosis (MTB) infection, remains a global health problem with increased concerns due to drug-resistant tuberculosis. However, molecular genotyping profiles may give insight of the transmission of TB in a particular region. The present study aimed to characterize the genetic diversity of drug-resistant MTB and evaluate primer sets applied for the epidemiological study of circulating MTB in Northeastern Thailand. A total of 92 MTB isolates, resistant to rifampicin and/or isoniazid, were collected from the Office of Disease Prevention and Control between 2013 and 2016. All isolates were genotyped by 24-locus MIRU-VNTR typing combined with spoligotyping. We also analyzed the distributions of drug susceptibility pattern and demographic data among different genotypes. In comparison with different loci sets, discriminatory power based on 12, 15, 24 standard primers were investigated. Eighty-six particular profiles were found; among the patterns, two clusters were produced in 8 strains. East African Indians (EAI) were the most prevalent strains (33 isolates, 35.87%) followed by Beijing (30 isolates, 32.61%), with 23 unknown isolates strains also found. The HGDI based on combination of 24 loci analysis and spoligotyping was 0.9962. The number of tandem repeat generated was highly discriminant (HGDI>0.6) at locus 580 (0.66), 960 (0.67), 2163b (0.73), 2165 (0.62), 2461 (0.68) 3690 (0.73) and 4052 (0.79), respectively. In contrast, the diversity at locus 154 and 2059 was not revealed. The results emphasized that 24-locus MIRU-VNTR and spoligotyping could be useful for epidemiological surveillance of drug-resistant MTB in this region. At a given allelic diversity, 7 primer sets containing MIRU04, MIRU10, QUB2163b, ETRA, ETRB, Mtub39 and QUB26 may be considered for screening the VNTR patterns. In addition, this study gathered both demographics and genotypic data within the same investigation for further tuberculosis prevention and control.

Selecting topic areas for developing quality standards in a resource-limited setting.

Variation in practices of and access to health promotion and disease prevention (P&P) across geographical areas have been studied in Thailand as well as other healthcare settings. The implementation of quality standards (QS)-a concise set of evidence-informed quality statements designed to drive and measure priority quality improvements-can be an option to solve the problem. This paper aims to provide an overview of the priority setting process of topic areas for developing QS and describes the criteria used. Topic selection consisted of an iterative process involving several steps and relevant stakeholders. Review of existing documents on the principles and criteria used for prioritising health technology assessment topics were performed. Problems with healthcare services were reviewed, and stakeholder consultation meetings were conducted to discuss current problems and comment on the proposed prioritisation criteria. Topics were then prioritised based on both empirical evidence derived from literature review and stakeholders' experiences through a deliberative process. Preterm birth, pre-eclampsia and postpartum haemorrhage were selected. The three health problems had significant disease burden; were prevalent among pregnant women in Thailand; led to high mortality and morbidity in mothers and children and caused variation in the practices and service uptake at health facilities. Having agreed-on criteria is one of the important elements of the priority setting process. The criteria should be discussed and refined with various stakeholders. Moreover, key stakeholders, especially the implementers of QS initiative, should be engaged in a constructive way and should be encouraged to actively participate and contribute significantly in the process.