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Background The World Health Organization recommends screening for the cryptococcal antigen (CrAg), a predictor of cryptococcal meningitis, among antiretroviral therapy (ART)–naïve people with HIV (PWH) with CD4 Methods We reviewed routinely generated programmatic reports on cryptococcal disease screening from 104 health facilities in 8 rural districts of Uganda from January 2018 to July 2019. A lateral flow assay (IMMY CrAg) was used to screen for cryptococcal disease. PWH were eligible for CrAg screening if they were ART-naïve with CD4 1000 copies/mL after at least 6 months of ART. We used Pearson’s chi-square test to compare the frequency and yield of CrAg screening. Results Of 71 860 ART-experienced PWH, 7210 (10.0%) were eligible for CrAg screening. Among 15 417 ART-naïve PWH, 5719 (37.1%) had a CD4 count measurement, of whom 937 (16.4%) were eligible for CrAg screening. The frequency of CrAg screening was 11.5% (830/7210) among eligible ART-experienced PWH compared with 95.1% (891/937) of eligible ART- naïve PWH (P Conclusions The low frequency and high positivity yield of CrAg screening among ART-experienced PWH with VL nonsuppression suggest a need for VL- directed CrAg screening in this population. Studies are needed to evaluate the cost-effectiveness and impact of CrAg screening and fluconazole prophylaxis on the outcomes of ART-experienced PWH with VL nonsuppression.

Background. Rifampicin resistance (RR) is associated with mortality among tuberculosis (TB) patients coinfected with HIV. We compared the prevalence of RR among TB patients with and without HIV coinfection at the National Tuberculosis Treatment Center (NTTC) in Uganda, a TB/HIV high burdened country. We further determined associations of RR among TB/HIV-coinfected patients. Methods. In this secondary analysis, we included adult (≥18 years) bacteriologically confirmed TB patients that were enrolled in a cross-sectional study at the NTTC in Uganda between August 2017 and March 2018. TB, RR, and bacillary load were confirmed by the Xpert® MTB/RIF assay in the primary study. A very low bacillary load was defined as a cycle threshold value of >28. We compared the prevalence of RR among TB patients with and without HIV coinfection using Pearson’s chi-square test. We performed logistic regression analysis to determine associations of RR among TB/HIV-coinfected patients. Results. Of the 303 patients, 182 (60.1%) were male, 111 (36.6%) had TB/HIV coinfection, and the median (interquartile range) age was 31 (25-39) years. RR was found among 58 (19.1%) patients. The prevalence of RR was 32.4% (36/111) (95% confidence interval (CI): 24-42) among TB/HIV-coinfected patients compared to 11.5% (22/192) (95% CI: 7–17) among HIV-negative TB patients (p<0.001). Among TB/HIV-coinfected patients, those with RR were more likely to be rural residents (adjusted odds ratio (aOR): 5.24, 95% CI: 1.51–18.21, p=0.009) and have a very low bacillary load (aOR: 13.52, 95% CI: 3.15–58.08, p<0.001). Conclusion. There was a high prevalence of RR among TB/HIV-coinfected patients. RR was associated with rural residence and having a very low bacillary load among TB/HIV-coinfected patients. The findings highlight a need for universal access to drug susceptibility testing among TB/HIV-coinfected patients, especially in rural settings.

INTRODUCTION Health worker shortages pose a challenge to the scale up of HIV care and treatment in Uganda. Training mid-level providers (MLPs) in the provision of HIV and tuberculosis (TB) treatment can expand existing health workforce capacity and access to HIV services. METHODS We conducted a cluster-randomized trial of on-site clinical mentorship for HIV and TB care at 10 health facilities in rural Uganda. Twenty MLPs at 5 randomly assigned to an intervention facilities received 8 hours a week of one-on-one mentorship, every 6 weeks over a 9-month period; and another 20 at 5 control facilities received no clinical mentorship. Enrolled MLPs' clinical knowledge and competence in management of HIV and TB was assessed using case scenarios and clinical observation at baseline and immediately after the 9-month intervention. The performance of the study health facilities on 8 TB and HIV care indicators was tracked over the 9-month period using facility patient records. RESULTS Thirty-nine out 40 enrolled MLPs had case scenario and clinical observation scores for both the baseline and end of intervention assessments. Mentorship was associated with a mean score increase of 16.7% (95% confidence interval: 9.8 to 23.6, P < 0.001) for the case scenario assessments and 25.9% (95% confidence interval: 14.4 to 37.5, P < 0.001) for the clinical observations. On-site clinical mentorship was significantly associated with an overall improvement for 5 of the 8 health facility TB and HIV indicators tracked. CONCLUSIONS One-on-one on-site mentorship improves individual knowledge and competence, has a downstream effect on facility performance, and is a simple approach to training MLPs for task shifting.