Measuring the impact of non-monetary incentives on facility delivery in rural Zambia: a clustered randomised controlled trial.

OBJECTIVES: In Zambia, only 56% of rural women deliver in a health facility, and improving facility delivery rates is a priority of the Zambian government. 'Mama kit' incentives - small packages of childcare items provided to mothers conditional on delivering their baby in a facility - may encourage facility delivery. This study measured the impact and cost-effectiveness of a US$4 mama kit on rural facility delivery rates in Zambia. METHODS: A clustered randomised controlled trial was used to measure the impact of mama kits on facility delivery rates in thirty rural health facilities in Serenje and Chadiza districts. Facility-level antenatal care and delivery registers were used to measure the percentage of women attending antenatal care who delivered at a study facility during the intervention period. Results from the trial were then used to model the cost-effectiveness of mama kits at-scale in terms of cost per death averted. RESULTS: The mama kits intervention resulted in a statistically significant increase in facility delivery rates. The multivariate logistic regression found that the mama kits intervention increased the odds of delivering at a facility by 63% (P-value < 0.01, 95% CI: 29%, 106%), or an increase of 9.9 percentage points, yielding a cost-effectiveness of US$5183 per death averted. CONCLUSIONS: This evaluation confirms that low-cost mama kits can be a cost-effective intervention to increase facility delivery rates in rural Zambia. Mama kits alone are unlikely to completely solve safe delivery challenges but should be embedded in larger maternal and child health programmes.

Scale-up of TB and HIV programme collaborative activities in Zambia - a 10-year review.

OBJECTIVE: To review the activities, progress, achievements and challenges of the Zambia Ministry of Health tuberculosis (TB)/HIV collaborative activities over the past decade. METHODS: Analysis of Zambia Ministry of Health National TB and HIV programme documents and external independent programme review reports pertaining to 2000-2010. RESULTS: The number of people testing for HIV increased from 37 557 persons in 2003 to 1 327 995 persons in 2010 nationally. Those receiving anti-retroviral therapy (ART) increased from 143 in 2003 to 344 304 in 2010. The national HIV prevalence estimates declined from 14.3% in 2001 to 13.5% in 2009. The proportion of TB patients being tested for HIV increased from 22.6% in 2006 to 84% in 2010 and approximately 70% were HIV positive. The proportion of the HIV-infected TB patients who: (i) started on ART increased from 38% in 2006 to 50% in 2010; (ii) commenced co-trimoxazole preventive therapy (CPT) increased from 31% in 2006 to 70% in 2010; and (iii) were successfully treated increased to an average of 80% resulting in decline of deaths from 13% in 2006 to 9% in 2010. CONCLUSIONS: The scale-up of TB/HIV collaborative programme activities in Zambia has steadily increased over the past decade resulting in increased testing for TB and HIV, and anti-retroviral (ARV) rollout with improved treatment outcomes among TB patients co-infected with HIV. Getting service delivery points to adhere to WHO guidelines for collaborative TB/HIV activities remains problematic, especially those meant to reduce the burden of TB in people living with HIV/AIDS (PLWHA).

Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey.

SETTING: Tuberculosis (TB) prevalence survey in Zambia between 2013 and 2014. OBJECTIVE: To compare the performance of automatic software (CAD4TB 5) in chest X-ray (CXR) reading with that of field (general practitioners) and central (radiologists) readers. DESIGN: A retrospective study comparing the performance of human and automatic reading was conducted. Two scenarios for central reading were evaluated: abnormalities not consistent with TB were considered to be 'normal' or 'abnormal'. Sputum culture was defined as the reference standard. Measures derived from receiver operating characteristic analysis were used to assess readers' performances. RESULTS: Of 46 099 participants, 23 838 cases included all survey information; of these, 106 cases were culture-confirmed TB-positive. The performance of CAD4TB 5 was similar to that of field and central readers. Although there were significant differences in specificity when compared with field readings (P = 0.002) and central readings considering the first scenario (P < 0.001), these differences were not substantial (93.2% vs. 92.6% and 98.4% vs. 99.6%, respectively).CONCLUSIONp: The performance of automatic CXR readings is comparable with that of human experts in a TB prevalence survey setting using culture as reference.

The effect of household poverty on tuberculosis.

pSETTING: Households in Malawi, Mongolia, Myanmar, the Philippines, Rwanda, Tanzania, Viet Nam and Zambia.OBJECTIVE To assess the relationship between household socio-economic level, both relative and absolute, and individual tuberculosis (TB) disease. DESIGN: We analysed national TB prevalence surveys from eight countries individually and in pooled multicountry models. Socio-economic level (SEL) was measured in terms of both relative household position and absolute wealth. The outcome of interest was whether or not an individual had TB disease. Logistic regression models were used to control for putative risk factors for TB disease such as age, sex and previous treatment history. RESULTS: Overall, a strong and consistent association between household SEL and individual TB disease was not found. Significant results were found in four individual country models, with the lowest socio-economic quintile being associated with higher TB risk in Mongolia, Myanmar, Tanzania and Viet Nam. CONCLUSIONS: TB prevalence surveys are designed to assess prevalence of disease and, due to the small numbers of cases usually detected, may not be the most efficient means of investigating TB risk factors. Different designs are needed, including measuring the SEL of individuals in nested case-control studies within TB prevalence surveys or among TB patients seeking treatment in health care facilities.