ABSTRACT
BACKGROUND: To reach WHO End tuberculosis (TB) targets, countries need a quality-assured laboratory network equipped with rapid diagnostics for tuberculosis diagnosis and drug susceptibility testing. Diagnostic network analysis aims to inform instrument placement, sample referral, staffing, geographical prioritization, integration of testing enabling targeted investments and programming to meet priority needs. METHODS: Supply chain modelling and optimization software was used to map Lesotho's TB diagnostic network using available data sources, including laboratory and programme reports and health and demographic surveys. Various scenarios were analysed, including current network configuration and inclusion of additional GeneXpert and/or point of care instruments. Different levels of estimated demand for testing services were modelled (current [30,000 tests/year], intermediate [41,000 tests/year] and total demand needed to find all TB cases [88,000 tests/year]). RESULTS: Lesotho's GeneXpert capacity is largely well-located but under-utilized (19/24 sites use under 50% capacity). The network has sufficient capacity to meet current and near-future demand and 70% of estimated total demand. Relocation of 13 existing instruments would deliver equivalent access to services, maintain turnaround time and reduce costs compared with planned procurement of 7 more instruments. Gaps exist in linking people with positive symptom screens to testing; closing this gap would require extra 11,000 tests per year and result in 1000 additional TB patients being treated. Closing the gap in linking diagnosed patients to treatment would result in a further 629 patients being treated. Scale up of capacity to meet total demand will be best achieved using a point-of-care platform in addition to the existing GeneXpert footprint. CONCLUSIONS: Analysis of TB diagnostic networks highlighted key gaps and opportunities to optimize services. Network mapping and optimization should be considered an integral part of strategic planning. By building efficient and patient-centred diagnostic networks, countries will be better equipped to meet End TB targets.
Subject(s)
Community Networks , Mycobacterium tuberculosis/genetics , Mycobacterium tuberculosis/isolation & purification , Tuberculosis, Pulmonary/diagnosis , Tuberculosis, Pulmonary/epidemiology , Antibiotics, Antitubercular/therapeutic use , Clinical Laboratory Services , DNA, Bacterial/genetics , Drug Resistance, Bacterial , Humans , Lesotho/epidemiology , Microbial Sensitivity Tests/methods , Models, Theoretical , Nucleic Acid Amplification Techniques/methods , Point-of-Care Systems , Rifampin/therapeutic use , Software , Tuberculosis, Pulmonary/drug therapy , Tuberculosis, Pulmonary/microbiologyABSTRACT
Disclosure of HIV-positive status has important implications for patient outcomes and preventing HIV transmission, but has been understudied in TB-HIV patients. We assessed disclosure patterns and correlates of non-disclosure among adult TB-HIV patients initiating ART enrolled in the START Study, a mixed-methods cluster-randomized trial conducted in Lesotho, which evaluated a combination intervention package (CIP) versus standard of care. Interviewer-administered questionnaire data were analyzed to describe patterns of disclosure. Patient-related factors were assessed for association with non-disclosure to anyone other than a health-care provider and primary partners using generalized linear mixed models. Among 371 participants, 95% had disclosed their HIV diagnosis to someone other than a health-care provider, most commonly a spouse/primary partner (76%). Age, TB knowledge, not planning to disclose TB status, greater perceived TB stigma, and CIP were associated with non-disclosure in unadjusted models (p < .1). In adjusted models, all point estimates were similar and greater TB knowledge (adjusted odds ratio [aOR] 0.59, 95% confidence interval [CI] 0.39-0.90) and CIP (aOR 0.20, 95% CI 0.05-0.79) remained statistically significant. Among 220 participants with a primary partner, 76% had disclosed to that partner. Significant correlates of partner non-disclosure (p < .1) in unadjusted analyses included being female, married/cohabitating, electricity at home, not knowing if partner was HIV-positive, and TB knowledge. Adjusted point estimates were largely similar, and being married/cohabitating (aOR 0.03, 95% CI 0.01-0.12), having electricity at home (aOR 0.38, 95% CI 0.17-0.85) and greater TB knowledge (aOR 0.76, 95% CI 0.59-0.98) remained significant. In conclusion, although nearly all participants reported disclosing their HIV status to someone other than a health-care provider at ART initiation, nearly a quarter of participants with a primary partner had not disclosed to their partner. Additional efforts to support HIV disclosure (e.g., counseling) may be needed for TB-HIV patients, particularly for women and those unaware of their partners' status.
