BACKGROUND
The global epidemic of Mycoplasma genitalium (MG) is marked by its widespread prevalence, varied resistance patterns, and significant impact on sexual health. This study aimed to understand the prevalence and interaction of MG infections with other sexually transmitted infections (STIs) in a low-resource setting, as well as the implications for routine STIs care.
METHODS
This nested cross-sectional study was conducted from July 2022 to April 2023 across six outpatient care sites in Shiselweni, Eswatini. Participants completed a self-questionnaire, underwent syndromic case management, and provided urine samples for parallel molecular-based testing using the Cepheid GeneXpert® platform for MG, Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG), and Trichomonas vaginalis (TV). The proportion of MG mono-infection and coinfections were calculated. Multivariable logistic regression models identified predictors of symptomatic MG mono-infections, which could be used to streamline at-risk patients for MG testing.
RESULTS
Among 735 participants, the median age was 27 (interquartile range 23—34) years, 65.9% were women, and 9.5% were HIV-positive. MG infection was detected in 10.5% (n = 77) of clients, with 45.5% (n = 35) coinfected with any of CT/NG/TV, and one case (0.1%) showing macrolide resistance. Among women with vaginal discharge syndrome (28.1%, n = 136), 0.7% (n = 1) had MG mono-infection, and 10.3% (n = 14) had MG and CT/NG/TV coinfections. Among men with male urethral syndrome (31.9%, n = 80), 3.8% (n = 3) had MG mono-infection, and 2.5% (n = 2) had MG and CT/NG/TV coinfections. Most MG-positive cases (66.2%, n = 51) did not receive antibiotic therapy, despite 68.6% (n = 35) reporting symptoms of STIs. Of treated cases, 26.0% (n = 20) received azithromycin monotherapy, 6.5% (n = 5) doxycycline monotherapy, and 1.3% (n = 1) both drugs. Of 305 individuals reporting STIs symptoms but tested negative for CT/NG/TV, 23 (7.5%) had symptomatic MG mono-infections. Unemployment and never having been tested for HIV were identified as risk factors. Streamlining 108/305 (35.4%) at-risk individuals for molecular-based MG testing would identify 14.8% (16/108) as positive, capturing 69.6% (16/23) of all symptomatic MG mono-infections.
CONCLUSIONS
MG was common among outpatients and frequently co-occurred with CT, NG, and TV infections. Syndromic case management often misclassified MG infections, leading to ineffective treatment. Expanding molecular-based MG testing could enhance antibiotic stewardship, crucial for preventing the spread of drug-resistant strains.
The HPV-Automated Visual Evaluation (PAVE) Consortium is validating a cervical screening strategy enabling accurate cervical screening in resource-limited settings. A rapid, low-cost HPV assay permits sensitive HPV testing of self-collected vaginal specimens; HPV-negative women are reassured. Triage of positives combines HPV genotyping (four groups in order of cancer risk) and visual inspection assisted by automated cervical visual evaluation (AVE) that classifies cervical appearance as severe, indeterminate, or normal. Together, the combination predicts which women have precancer, permitting targeted management to those most needing treatment.
We analyzed CIN3+ yield for each PAVE risk level (HPV genotype crossed by AVE classification) from nine clinical sites (Brazil, Cambodia, Dominican Republic, El Salvador, Eswatini, Honduras, Malawi, Nigeria, and Tanzania). Data from 1832 HPV-positive participants confirmed that HPV genotype and AVE classification each strongly and independently predict risk of histologic CIN3+. The combination of these low-cost tests provided excellent risk stratification, warranting pre-implementation demonstration projects.
BACKGROUND
Improving treatment success rates among multi drug-resistant tuberculosis (MDR-TB) patients is critical to reducing its incidence and mortality, but adherence poses an important challenge. Video-based direct observed therapy (vDOT) may provide adherence benefits, while addressing the time and cost burden associated with community treatment supporter (CTS)-DOT. This study explored experiences of patients, family members and healthcare workers with different DOT modalities for adherence support in Eswatini.
METHODS
Between April 2021 and May 2022, thirteen men and five women with MDR-TB, ten healthcare workers, and nine caregivers were purposively sampled to include a range of characteristics and experiences with DOT modalities. Data were generated through individual in-depth interviews and a smartphone messaging application (WhatsApp). Data coding was undertaken iteratively, and thematic analysis undertaken, supported by Nvivo.
RESULTS
Four themes emerged that reflected participants’ experiences with different DOT modalities, including stigma, efficiency, perceived risks of TB acquisition, and patient autonomy. vDOT was appreciated by patients for providing them with privacy and shielding them from stigmatisation associated with being seen in TB clinics or with community treatment supporters. vDOT was also seen as more efficient than CTS-DOT. Health workers acknowledged that it saved time, allowing them to attend to more patients, while many patients found vDOT more convenient and less expensive by removing the need to travel for in-person consultations. Health workers also appreciated vDOT because it reduced risks of TB acquisition by minimising exposure through virtual patient monitoring. Although many patients appreciated greater autonomy in managing their illness through vDOT, others preferred human contact or struggled with making video recordings. Most family members appreciated vDOT, although some resented feeling removed from the process of supporting loved ones.
CONCLUSIONS
vDOT was generally appreciated by MDR-TB patients, their family members and health workers as it addressed barriers to adherence which could contribute to improved treatment completion rates and reduced workplace exposure. However, patients should be offered an alternative to vDOT such as CTS-DOT if this modality does not suit their circumstances or preferences.
Video-enabled directly observed therapy (video-DOT) has been proposed as an additional option for treatment provision besides in-person DOT for patients with drug-resistant TB (DRTB) disease. However, evidence and implementation experience mainly originate from well-resourced contexts. This study describes the operationalization of video-DOT in a low-resourced setting in Eswatini facing a high burden of HIV and TB amid the emergence of the COVID-19 pandemic.
METHODS
This is a retrospectively established cohort of patients receiving DRTB treatment during the implementation of video-DOT in Shiselweni from May 2020 to March 2022. We described intervention uptake (vs. in-person DOT) and assessed unfavorable DRTB treatment outcome (death, loss to care) using Kaplan-Meier statistics and multivariable Cox-regression models. Video-related statistics were described with frequencies and medians. We calculated the fraction of expected doses observed (FEDO) under video-DOT and assessed associations with missed video uploads using multivariable Poisson regression analysis.
RESULTS
Of 71 DRTB patients eligible for video-DOT, the median age was 39 (IQR 30–54) years, 31.0% (n = 22) were women, 67.1% (n = 47/70) were HIV-positive, and 42.3% (n = 30) were already receiving DRTB treatment when video-DOT became available. About half of the patients (n = 37; 52.1%) chose video-DOT, mostly during the time when COVID-19 appeared in Eswatini. Video-DOT initiations were lower in new DRTB patients (aHR 0.24, 95% CI 0.12–0.48) and those aged ≥ 60 years (aHR 0.27, 95% CI 0.08–0.89). Overall, 20,634 videos were uploaded with a median number of 553 (IQR 309–748) videos per patient and a median FEDO of 92% (IQR 84–97%). Patients aged ≥ 60 years were less likely to miss video uploads (aIRR 0.07, 95% CI 0.01–0.51). The cumulative Kaplan-Meier estimate of an unfavorable treatment outcome among all patients was 0.08 (95% CI 0.03–0.19), with no differences detected by DOT approach and other baseline factors in multivariable analysis.
CONCLUSIONS
Implementing video-DOT for monitoring of DRTB care provision amid the intersection of the HIV and COVID-19 pandemics seemed feasible. Digital health technologies provide additional options for patients to choose their preferred way to support treatment taking, thus possibly increasing patient-centered health care while sustaining favorable treatment outcomes.
Despite declining TB notifications in Southern Africa, TB‐related deaths remain high. We describe patient‐ and population‐level trends in TB‐related deaths in Eswatini over a period of 11 years.
METHODS
Patient‐level (retrospective cohort, from 2009 to 2019) and population‐level (ecological analysis, 2009–2017) predictors and rates of TB‐related deaths were analysed in HIV‐negative and HIV‐coinfected first‐line TB treatment cases and the population of the Shiselweni region. Patient‐level TB treatment data, and population and HIV prevalence estimates were combined to obtain stratified annual mortality rates. Multivariable Poisson regressions models were fitted to identify patient‐level and population‐level predictors of deaths.
RESULTS
Of 11,883 TB treatment cases, 1,302 (11.0%) patients died during treatment: 210/2,798 (7.5%) HIV‐negative patients, 984/8,443 (11.7%) people living with HIV (PLHIV), and 108/642 (16.8%) patients with unknown HIV‐status. The treatment case fatality ratio remained above 10% in most years. At patient‐level, fatality risk was higher in PLHIV (aRR 1.74, 1.51–2.02), and for older age and extra‐pulmonary TB irrespective of HIV‐status. For PLHIV, fatality risk was higher for TB retreatment cases (aRR 1.38, 1.18–1.61) and patients without antiretroviral therapy (aRR 1.70, 1.47–1.97). It decreases with increasing higher CD4 strata and the programmatic availability of TB‐LAM testing (aRR 0.65, 0.35–0.90). At population‐level, mortality rates decreased 6.4‐fold (−147/100,000 population) between 2009 (174/100,000) and 2017 (27/100,000), coinciding with a decline in TB treatment cases (2,785 in 2009 to 497 in 2017). Although the absolute decline in mortality rates was most pronounced in PLHIV (−826/100,000 vs. HIV‐negative: −23/100,000), the relative population‐level mortality risk remained higher in PLHIV (aRR 4.68, 3.25–6.72) compared to the HIV‐negative population.
CONCLUSIONS
TB‐related mortality rapidly decreased at population‐level and most pronounced in PLHIV. However, case fatality among TB treatment cases remained high. Further strategies to reduce active TB disease and introduce improved TB therapies are warranted.
Video-enabled directly observed therapy (video-DOT) has been proposed as an additional option for treatment provision besides in-person DOT for patients with drug-resistant TB (DRTB) disease. However, evidence and implementation experience mainly originate from well-resourced contexts. This study describes the operationalization of video-DOT in a low-resourced setting in Eswatini facing a high burden of HIV and TB amid the emergence of the COVID-19 pandemic.
METHODS
This is a retrospectively established cohort of patients receiving DRTB treatment during the implementation of video-DOT in Shiselweni from May 2020 to March 2022. We described intervention uptake (vs in-person DOT) and assessed unfavorable DRTB treatment outcome (death, loss to care) using Kaplan-Meier statistics and multivariable Cox-regression models. Video-related statistics were described with frequencies and medians. We calculated the fraction of expected doses observed (FEDO) under video-DOT and assessed associations with missed video uploads using multivariable Poisson regression analysis.
RESULTS
Of 71 DRTB patients eligible for video-DOT, the median age was 39 (IQR 30–54) years, 31.0% (n=22) were women, 67.1% (n=47/70) were HIV-positive, and 42.3% (n=30) were already receiving DRTB treatment when video-DOT became available. About half of the patients (n=37; 52.1%) chose video-DOT, mostly during the time when COVID-19 appeared in Eswatini. Video-DOT initiations were lower in new DRTB patients (aHR 0.24, 95% CI 0.12–0.48) and those aged =60 years (aHR 0.27, 95% CI 0.08–0.89). Overall, 20,634 videos were uploaded with a median number of 553 (IQR 309–748) videos per patient and a median FEDO of 92% (IQR 84–97%). Patients aged =60 years were less likely to miss video uploads (aIRR 0.07, 95% CI 0.01–0.51). The cumulative Kaplan-Meier estimate of an unfavorable treatment outcome among all patients was 0.08 (95% CI 0.03–0.19), with no differences detected by DOT approach and other baseline factors in multivariable analysis.
CONCLUSIONS
Implementing video-DOT for monitoring of DRTB care provision amid the intersection of the HIV and COVID-19 pandemics seemed feasible. Digital health technologies provide additional options for patients to choose their preferred way to support treatment taking, thus possibly increasing patient-centered health care while sustaining favorable treatment outcomes.