Journal Article > ResearchFull Text
Trop Med Int Health. 1 March 2024; Volume 29 (Issue 3); 192-205.; DOI:10.1111/tmi.13961
Kerschberger B, Vambe D, Schomaker M, Mabhena E, Daka M, et al.
Trop Med Int Health. 1 March 2024; Volume 29 (Issue 3); 192-205.; DOI:10.1111/tmi.13961
OBJECTIVES
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.
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.
Journal Article > Pre-PrintFull Text
BMC Health Serv Res. 9 August 2023; DOI:10.21203/rs.3.rs-3135109/v1
Kerschberger B, Daka M, Shongwe B, Dlamini T, Ngwenya SM, et al.
BMC Health Serv Res. 9 August 2023; DOI:10.21203/rs.3.rs-3135109/v1
BACKGROUND
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.
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.
Journal Article > ResearchFull Text
Trop Med Int Health. 19 September 2019; Volume 24 (Issue 9); 1114-1127.; DOI:10.1111/tmi.13290
Kerschberger B, Schomaker M, Telnov A, Vambe D, Kisyeri N, et al.
Trop Med Int Health. 19 September 2019; Volume 24 (Issue 9); 1114-1127.; DOI:10.1111/tmi.13290
OBJECTIVES
This paper assesses patient- and population-level trends in TB notifications during rapid expansion of antiretroviral therapy in Eswatini which has an extremely high incidence of both TB and HIV.
METHODS
Patient- and population-level predictors and rates of HIV-associated TB were examined in the Shiselweni region in Eswatini from 2009 to 2016. Annual population-level denominators obtained from projected census data and prevalence estimates obtained from population-based surveys were combined with individual-level TB treatment data. Patient- and population-level predictors of HIV-associated TB were assessed with multivariate logistic and multivariate negative binomial regression models.
RESULTS
Of 11 328 TB cases, 71.4% were HIV co-infected and 51.8% were women. TB notifications decreased fivefold between 2009 and 2016, from 1341 to 269 cases per 100 000 person-years. The decline was sixfold in PLHIV vs. threefold in the HIV-negative population. Main patient-level predictors of HIV-associated TB were recurrent TB treatment (adjusted odds ratio [aOR] 1.40, 95% confidence interval [CI]: 1.19-1.65), negative (aOR 1.31, 1.15-1.49) and missing (aOR 1.30, 1.11-1.53) bacteriological status and diagnosis at secondary healthcare level (aOR 1.18, 1.06-1.33). Compared with 2009, the probability of TB decreased for all years from 2011 (aOR 0.69, 0.58-0.83) to 2016 (aOR 0.54, 0.43-0.69). The most pronounced population-level predictor of TB was HIV-positive status (adjusted incidence risk ratio 19.47, 14.89-25.46).
CONCLUSIONS
This high HIV-TB prevalence setting experienced a rapid decline in TB notifications, most pronounced in PLHIV. Achievements in HIV-TB programming were likely contributing factors.
This paper assesses patient- and population-level trends in TB notifications during rapid expansion of antiretroviral therapy in Eswatini which has an extremely high incidence of both TB and HIV.
METHODS
Patient- and population-level predictors and rates of HIV-associated TB were examined in the Shiselweni region in Eswatini from 2009 to 2016. Annual population-level denominators obtained from projected census data and prevalence estimates obtained from population-based surveys were combined with individual-level TB treatment data. Patient- and population-level predictors of HIV-associated TB were assessed with multivariate logistic and multivariate negative binomial regression models.
RESULTS
Of 11 328 TB cases, 71.4% were HIV co-infected and 51.8% were women. TB notifications decreased fivefold between 2009 and 2016, from 1341 to 269 cases per 100 000 person-years. The decline was sixfold in PLHIV vs. threefold in the HIV-negative population. Main patient-level predictors of HIV-associated TB were recurrent TB treatment (adjusted odds ratio [aOR] 1.40, 95% confidence interval [CI]: 1.19-1.65), negative (aOR 1.31, 1.15-1.49) and missing (aOR 1.30, 1.11-1.53) bacteriological status and diagnosis at secondary healthcare level (aOR 1.18, 1.06-1.33). Compared with 2009, the probability of TB decreased for all years from 2011 (aOR 0.69, 0.58-0.83) to 2016 (aOR 0.54, 0.43-0.69). The most pronounced population-level predictor of TB was HIV-positive status (adjusted incidence risk ratio 19.47, 14.89-25.46).
CONCLUSIONS
This high HIV-TB prevalence setting experienced a rapid decline in TB notifications, most pronounced in PLHIV. Achievements in HIV-TB programming were likely contributing factors.
Journal Article > ResearchFull Text
Trop Med Int Health. 1 October 2019; Volume 24 (Issue 10); 1243-1258.; DOI:10.1111/tmi.13299
Kerschberger B, Telnov A, Yano N, Cox HS, Zabsonre I, et al.
Trop Med Int Health. 1 October 2019; Volume 24 (Issue 10); 1243-1258.; DOI:10.1111/tmi.13299
OBJECTIVES
Provision of drug-resistant tuberculosis (DR-TB) treatment is scarce in resource-limited settings. We assessed the feasibility of ambulatory DR-TB care for treatment expansion in rural Eswatini.
METHODS
Retrospective patient-level data were used to evaluate ambulatory DR-TB treatment provision in rural Shiselweni (Eswatini), from 2008 to 2016. DR-TB care was either clinic-based led by nurses or community-based at the patient's home with involvement of community treatment supporters for provision of treatment to patients with difficulties in accessing facilities. We describe programmatic outcomes and used multivariate flexible parametric survival models to assess time to adverse outcomes. Both care models were costed in supplementary analyses.
RESULTS
Of 698 patients initiated on DR-TB treatment, 57% were women and 84% were HIV-positive. Treatment initiations increased from 27 in 2008 to 127 in 2011 and decreased thereafter to 51 in 2016. Proportionally, community-based care increased from 19% in 2009 to 77% in 2016. Treatment success was higher for community-based care (79%) than clinic-based care (68%, P = 0.002). After adjustment for covariate factors among adults (n = 552), the risk of adverse outcomes (death, loss to follow-up, treatment failure) in community-based care was reduced by 41% (adjusted hazard ratio 0.59, 95% CI: 0.39-0.91). Findings were supported by sensitivity analyses. The care provider's per-patient costs for community-based (USD13 345) and clinic-based (USD12 990) care were similar.
CONCLUSIONS
Ambulatory treatment outcomes were good, and community-based care achieved better treatment outcomes than clinic-based care at comparable costs. Contextualised DR-TB care programmes are feasible and can support treatment expansion in rural settings.
Provision of drug-resistant tuberculosis (DR-TB) treatment is scarce in resource-limited settings. We assessed the feasibility of ambulatory DR-TB care for treatment expansion in rural Eswatini.
METHODS
Retrospective patient-level data were used to evaluate ambulatory DR-TB treatment provision in rural Shiselweni (Eswatini), from 2008 to 2016. DR-TB care was either clinic-based led by nurses or community-based at the patient's home with involvement of community treatment supporters for provision of treatment to patients with difficulties in accessing facilities. We describe programmatic outcomes and used multivariate flexible parametric survival models to assess time to adverse outcomes. Both care models were costed in supplementary analyses.
RESULTS
Of 698 patients initiated on DR-TB treatment, 57% were women and 84% were HIV-positive. Treatment initiations increased from 27 in 2008 to 127 in 2011 and decreased thereafter to 51 in 2016. Proportionally, community-based care increased from 19% in 2009 to 77% in 2016. Treatment success was higher for community-based care (79%) than clinic-based care (68%, P = 0.002). After adjustment for covariate factors among adults (n = 552), the risk of adverse outcomes (death, loss to follow-up, treatment failure) in community-based care was reduced by 41% (adjusted hazard ratio 0.59, 95% CI: 0.39-0.91). Findings were supported by sensitivity analyses. The care provider's per-patient costs for community-based (USD13 345) and clinic-based (USD12 990) care were similar.
CONCLUSIONS
Ambulatory treatment outcomes were good, and community-based care achieved better treatment outcomes than clinic-based care at comparable costs. Contextualised DR-TB care programmes are feasible and can support treatment expansion in rural settings.
Journal Article > ResearchFull Text
Glob Public Health. 20 August 2020; Volume 16 (Issue 6); DOI:10.1080/17441692.2020.1808039
Burtscher D, Bjertrup PJ, Vambe D, Dlamini V, Mmema N, et al.
Glob Public Health. 20 August 2020; Volume 16 (Issue 6); DOI:10.1080/17441692.2020.1808039
Patients with drug-resistant tuberculosis (DR-TB) have received community-based care in Eswatini since 2009. Trained and compensated community treatment supporters (CTSs) provide directly observed therapy (DOT), injectables and psychological support. We examined the acceptability of this model of care among DR-TB patients, including the perspective of family members of DR-TB patients and their CTSs in relation to the patient's experience of care and quality of life. This qualitative research was conducted in rural Eswatini in February 2018. DR-TB patients, CTSs and family members participated in in-depth interviews, paired interviews, focus group discussions and PhotoVoice. Data were thematically analysed and coded, and themes were extracted. Methodological triangulation enhanced the interpretation. All patients and CTSs and most family members considered community-based DR-TB care to be supportive. Positive aspects were emotional support, trust and dedicated individual care, including enabling practical, financial and social factors. Concerns were related to social and economic problems within the family and fears about infection risks for the family and the CTSs. Community-based DR-TB care was acceptable to patients, family members and CTSs. To reduce family members' fears of TB infection, information and sensitisation within the family and constant follow-up appear crucial.