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1.
Public Health Action ; 9(2): 63-68, 2019 Jun 21.
Article in English | MEDLINE | ID: mdl-31417855

ABSTRACT

SETTING: Ten districts and three cities in Zimbabwe. OBJECTIVE: To compare the yield and relative cost of identifying a case of tuberculosis (TB) using the three WHO-recommended algorithms (WHO2b, symptom inquiry only; WHO2d, chest X-ray [CXR] after a positive symptom inquiry; WHO3b, CXR only) and the Zimbabwe active case finding (ZimACF) algorithm (symptom inquiry plus CXR) to everyone. DESIGN: Cross-sectional study using data from the ZimACF project. RESULTS: A total of 38 574 people were screened from April to December 2017; 488 (1.3%) were diagnosed with TB using the ZimACF algorithm. Fewer TB cases would have been diagnosed with the WHO-recommended algorithms. This ranged from 7% fewer (34 cases) with WHO3b, 18% fewer (88 cases) with WHO2b and 25% fewer (122 cases) with WHO2d. The need for CXR ranged from 36% (WHO2d) to 100% (WHO3b). The need for bacteriological confirmation ranged from 7% (WHO2d) to 40% (ZimACF). The relative cost per case of TB diagnosed ranged from US$180 with WHO3b to US$565 for the ZimACF algorithm. CONCLUSION: The ZimACF algorithm had the highest case yield, but at a much higher cost per case than the WHO algorithms. It is possible to switch to algorithm WHO3b, but the trade-off between cost and yield needs to be reviewed by the Zimbabwean National TB Programme.

2.
Public Health Action ; 9(2): 72-77, 2019 Jun 21.
Article in English | MEDLINE | ID: mdl-31417857

ABSTRACT

SETTING: A resource-limited urban setting in Zimbabwe with a high burden of tuberculosis (TB) and human immunodeficiency virus (HIV). OBJECTIVES: To determine the feasibility and yield of diabetes mellitus (DM) screening among TB patients in primary health care facilities. DESIGN: A descriptive study. RESULTS: Of the 1617 TB patients registered at 10 pilot facilities, close to two thirds (60%) were male and 798 (49%) were bacteriologically confirmed. The median age was 37 years; two thirds (67%) were co-infected with HIV. A total of 1305 (89%) were screened for DM, and 111 (8.5%, 95% CI 7.0-10.2) were newly diagnosed with DM. Low TB notifying sites were more likely than high TB notifying sites to screen patients using random blood glucose (RBG) (83% vs. 79%; P < 0.04). Screening increased gradually per quarter over the study period. There were, however, notable losses along the screening cascade, the reasons for which will need to be explored in future studies. CONCLUSION: The study findings indicate the feasibility of DM screening among TB patients, with considerable yield of persons newly diagnosed with DM. Scaling up of this intervention will need to address the observed losses along the screening cascade.

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