Browsing by Author "Mwaba I"

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Breakthrough TB among people living with HIV on TB preventive therapy.
(2022-Dec-21) Nyangu S; Kagujje M; Mwaba I; Luhanga D; Hambwalula R; Maliko S; Mushili T; Mwamba E; Mulai M; Muyoyeta M; Centre of Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
BACKGROUND: Zambia has an estimated TB incidence of 319/100,000 population and a HIV prevalence of 11.1%. In 2020, only 49% of new people living with HIV (PLHIV) received TB preventive therapy (TPT) in Zambia. Misconceptions about the reliability of symptom screening and drug resistance among people who develop TB while on TPT are barriers to TPT scale-up. We determined the incidence and predictors of breakthrough TB during TPT among PLHIV in Zambia. METHOD: This was a retrospective analysis of routine TPT programme data among PLHIV collected between October 2016 and October 2019 from select primary health facilities in Zambia. RESULTS: Of 48,581 PLHIV enrolled on TPT, 130 (0.3%) developed breakthrough TB during TPT. Of the 130, 90 client records were accessed. The median age of the breakthrough TB cases was 35 years; 68% were males. Overall, 96% of the breakthrough TB cases had been on antiretroviral therapy (ART) for ⩽3 months; 24% were symptomatic at the beginning of TPT, 22% were asymptomatic and others had missing data. Of the 130 breakthrough TB cases, 79% developed TB in the first month after TPT initiation. The median time to TB diagnosis was 10 days (IQR 4-16). CONCLUSION: Breakthrough TB during TPT is rare among PHLIV on ART, and very rare after the first month of TPT initiation. It should therefore not be a barrier to TPT scale-up.
Engagement of private health care facilities in TB management in Lusaka district of Zambia: lessons learned and achievements.
(2024-Mar-14) Hambwalula R; Kagujje M; Mwaba I; Musonda D; Singini D; Mutti L; Sanjase N; Kaumba PC; Ziko LM; Zimba KM; Kasese-Chanda P; Muyoyeta M; Division of Health, United States Agency for International Development, Lusaka, Zambia.; TB department, Centre of Infectious Disease Research in Zambia, Plot # 34620 Off Alick Nkhata Road, Mass Media, P.O. Box 34681, Lusaka, 10101, Zambia. Mary.Kagujje@cidrz.org.; Lusaka District Health Office, Ministry of Health, Great East Road, Lusaka, Zambia.; TB department, Centre of Infectious Disease Research in Zambia, Plot # 34620 Off Alick Nkhata Road, Mass Media, P.O. Box 34681, Lusaka, 10101, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Globally, at least 3 million TB patients are missed every year. In Zambia, the TB treatment coverage increased from 66% in 2020 to 92% in 2022. Involvement of all levels of health care service delivery is critical to finding all the missing TB patients. METHODS: A survey was undertaken in 15 private facilities in Lusaka district of Zambia using a structured tool administered by project team and a district health team member. Data collected during the survey was analysed and results were used to determine the type of TB services that were offered as well as barriers and enablers to TB service provision. This was followed by a set of interventions that included; training and mentorship on active case finding and systematic TB screening, increased diagnostic capacity, provision of national recording and reporting tools and provision of TB medication through linkage with the National TB program (NTP). We report findings from the baseline survey and changes in presumptive TB identification and notification following interventions. RESULTS: Major barriers to TB service delivery were the high cost of TB diagnostic testing and treatment in facilities where services were not supported by the National TB program; the mean cost was 33 (SD 33) and 93 (SD 148) for GeneXpert testing and a full course of treatment respectively. Pre-intervention, presumptive TB identification appeared to increase monthly by 4 (P = 0.000, CI=[3.00-5.00]). The monthly trends of presumptive TB identification during the intervention period increased by 5.32 (P = 0.000, [CI 4.31-6.33. Pre-intervention, the notification of TB appeared to decrease every month by -4.0 (P = 0.114, CI=[-9.00-0.10]) followed by an immediate increase in notifications of 13.94 TB patients (P = 0.001, CI [6.51, 21.36] in the first month on intervention. The monthly trends of notification during the intervention period changed by 0.34 (P = 0.000 [CI 0.19-0.48]). Private facility contribution to TB notification increased from 3 to 7%. CONCLUSION: Engagement and inclusion of private health facilities in TB service provision through a systems strengthening approach can increase contribution to TB notification by private health facilities.
Performance of Xpert
(2020-Dec-21) Kasaro MP; Chilyabanyama ON; Shah NS; Muluka B; Kapata N; Krüüner A; Mwaba I; Kaunda K; Coggin WL; Wen XJ; Henostroza G; Reid S; Centers for Disease Control and Prevention, Atlanta, GA, USA.; Ministry of Health Zambia National TB Programme, Lusaka, Zambia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; University of Alabama at Birmingham, Birmingham, AL, USA.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
SETTING: Peri-urban health facilities providing HIV and TB care in Zambia. OBJECTIVE: To evaluate 1) the impact of Xpert DESIGN: Quasi-experimental study design with the first cohort evaluated per standard-of-care (SOC; first sputum tested using smear microscopy) and the second cohort per an algorithm using Xpert as initial test (intervention phase; IP). Xpert testing was provided onsite in Chongwe District, while samples were transported 5-10 km in Kafue District. TB was confirmed using mycobacterial culture. RESULTS: Among 1350 PLHIV enrolled, 156 (15.4%) had confirmed TB. Time from TB evaluation to diagnosis ( CONCLUSION: Xpert improved time to diagnosis and treatment initiation, but there was no difference in all-cause mortality. High sensitivity of Determine TB-LAM Ag at lower CD4 count supports increased use in settings providing care to PLHIV, particularly with advanced HIV disease.
Undernotification and underreporting of tuberculosis in Zambia: a national data quality assessment.
(2022-Aug-22) Lungu PS; Kabaso ME; Mihova R; Silumesii A; Chisenga T; Kasapo C; Mwaba I; Kerkhoff AD; Muyoyeta M; Chimzizi R; Malama K; USAID Sustaining Technical and Analytic Resources (STAR) Project, Lusaka, Zambia.; Ministry of Health, Lusaka, Zambia. lungupatrick99@gmail.com.; Division of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital and Trauma Center University of California, San Francisco, San Francisco, CA, USA.; USAID Eradicate TB Program, Lusaka, Zambia.; Ministry of Health, Lusaka, Zambia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Despite national implementation of several high impact interventions and innovations to bolster tuberculosis (TB) detection and improve quality of TB services in Zambia, notifications have been declining since 2004. A countrywide data quality assessment (DQA) of Zambia's National TB and Leprosy Programme (NTLP) was undertaken to quantify the degree to which undernotification and underreporting of TB notifications may be occurring. METHODS: The NTLP conducted a retrospective DQA of health facilities in high burden districts in all ten Zambian provinces. Multiple routine programmatic data sources were triangulated through a multi-step verification process to enumerate the total number of unique TB patients diagnosed between 1st January and 31st August 2019; both bacteriologically confirmed and clinically diagnosed TB patients were included. Undernotification was defined as the number of TB patients identified through the DQA that were not documented in facility treatment registers, while underreporting was defined as the number of notified TB cases not reported to the NTLP. RESULTS: Overall, 265 health facilities across 55 districts were assessed from which 28,402 TB patients were identified; 94.5% of TB patients were ≥ 15 years old, 65.1% were male, 52.0% were HIV-positive, and 89.6% were a new/relapse case. Among all TB cases, 32.8% (95%CI: 32.2-33.3) were unnotified. Undernotification was associated with age ≥ 15 years old (adjusted prevalence odds ratio [aPOR] = 2.4 [95%CI: 2.0-2.9]), HIV-positive status (aPOR = 1.6 [95%CI: 1.5-1.8]), being a new/relapse TB case (aPOR = 17.5 [95%CI: 13.4-22.8]), being a clinically diagnosed TB case (aPOR = 4.2 [95%CI:3.8-4.6]), and being diagnosed at a hospital (range, aPOR = 1.5 [95%CI: 1.3-1.6] to 2.6 [95%CI: 2.3-2.9]). There was substantial heterogeneity in the proportion of unnotified TB cases by province (range, 18.2% to 43.6%). In a sub-analysis among 22,199 TB patients with further data available, 55.9% (95%CI: 55.2-56.6) were notified and reported to the NTLP, 32.8% (95%CI: 32.2-33.4) were unnotified, and 11.3% (95%CI: 10.9-11.7) went unreported to the NTLP. CONCLUSIONS: The findings from Zambia's first countrywide TB programme DQA demonstrate substantial undernotification and underreporting of TB cases across all provinces. This underscores the urgent need to implement a robust and integrated data management system to facilitate timely registration and reporting of all TB patients who are diagnosed and treated.