Association between malaria control and paediatric blood transfusions in rural Zambia: an interrupted time-series analysis

Diagnoses and ordering practices driving blood demand for treatment of anemia in Tanzania

BACKGROUND

Resource-limited countries in Africa experience blood shortages. Understanding clinical drivers of blood demand can inform strategies to increase blood availability.

STUDY DESIGN AND METHODS

From a national representative sample of 42 hospitals in Tanzania, patient records and requests for whole blood (WB) and red blood cells (RBCs) to treat anemia were analyzed using data collected prospectively from June through September 2013. Abstracted data included cause of anemia, number of requested units, clinical signs, and pretransfusion hemoglobin (Hb) levels. Weighted projections of nationwide drivers of blood demand for the year, 2013, were calculated. Mean posttransfusion Hb levels were estimated, and blood requests were assessed for clinical appropriateness.

RESULTS

Malaria was the leading driver of blood demand for anemia among children, accounting for 67% (55,949 units; standard deviation [SD], 1911 units) of projected units requested for children in 2013. Maternal hemorrhage was the leading driver of blood demand for anemia among adults, accounting for 21% (31,321 units; SD, 963 units) of projected units requested. Seventeen percent (26,133 units; SD, 1013 units) of projected requested units were deemed inappropriate. Adults with severe anemia had a mean Hb level of 3.7 g/dL and a mean of 1.6 WB or RBC units per request, resulting in an estimated mean posttransfusion Hb level of 5.3 g/dL.

CONCLUSIONS

Strategies to prevent and treat underlying causes of anemia and decrease inappropriate blood requests will likely increase blood availability. Restrictive blood ordering practices seen in adults with severe anemia suggests undertreatment of anemia and may result in an underestimation of the national blood demand.

Spatially Correlated Time Series and Ecological Niche Analysis of Cutaneous Leishmaniasis in Afghanistan

Leishmaniasis is the third most common vector-borne disease and a very important protozoan infection. Cutaneous leishmaniasis is one of the most common types of leishmaniasis infectious diseases with up to 1.2 million occurrences of new cases each year worldwide. A dynamic transmission multivariate time series model was applied to the data to account for overdispersion and evaluate the effects of three environmental layers as well as seasonality in the data. Furthermore, ecological niche modeling was used to study the geographically suitable conditions for cutaneous leishmaniasis using temperature, precipitation and altitude as environmental layers, together with the leishmaniasis presence data. A retrospective analysis of the cutaneous leishmaniasis spatial data in Afghanistan between 2003 and 2009 indicates a steady increase from 2003 to 2007, a small decrease in 2008, and then another increase in 2009. An upward trend and regularly repeating patterns of highs and lows were observed related to the months of the year, which suggests seasonality effect in the data. Two peaks were observed in the disease occurrence—January to March and September to December—which coincide with the cold period. Ecological niche modelling indicates that precipitation has the greatest contribution to the potential distribution of leishmaniasis.

Exploring the use of routinely-available, retrospective data to study the association between malaria control scale-up and micro-economic outcomes in Zambia

BACKGROUND

Country-level evidence on the impact of malaria control on micro-economic outcomes is vital for mobilizing domestic and donor resources for malaria control. Using routinely available survey data could facilitate this investigation in a cost-efficient way.

METHODS

The authors used Malaria Indicator Surveys (MIS) and Living Conditions Monitoring Survey (LCMS) data from 2006 to 2010 for all 72 districts in Zambia to relate malaria control scale-up with household food spending (proxy for household well-being), educational attainment and agricultural production. The authors used two quasi-experimental designs: (1) a generalized propensity score for a continuous treatment variable (defined as coverage from owning insecticide-treated bed nets and/or receipt of indoor residual spraying); and, (2) a district fixed effects model to assess changes in the outcome relative to changes in treatment pre-post scale-up. The unit of analysis was at district level. The authors also conducted simulations post-analysis to assess statistical power.

RESULTS

Micro-economic outcomes increased (33% increase in food spending) concurrently with malaria control coverage (62% increase) from 2006 to 2010. Despite using data from all 72 districts, both analytic methods yielded wide confidence intervals that do not conclusively link outcomes and malaria control coverage increases. The authors cannot rule out positive, null or negative effects. The upper bound estimates of the results show that if malaria control coverage increases from 60 to 70%, food spending could increase up to 14%, maize production could increase up to 57%, and years of schooling could increase up to 0.5 years. Simulations indicated that the generalized propensity score model did not have good statistical power.

CONCLUSION

While it is technically possible to use routinely available survey data to relate malaria control scale-up and micro-economic outcomes, it is not clear from this analysis that meaningful results can be obtained when survey data are highly aggregated. Researchers in similar settings should assess the feasibility of disaggregating existing survey data. Additionally, large surveys, such as LCMS and MIS, could incorporate data on both malaria coverage and household expenditures, respectively.

Severe Childhood Anaemia and Blood Transfusion in a Nigerian Secondary Level Facility

This study aimed to describe the pattern and immediate outcome of severe childhood anaemia requiring blood transfusion at a secondary level of care in Nigeria. A cross-sectional survey of children hospitalized in a secondary health facility in Ogun State, Nigeria, with packed cell volume <20% and who received blood transfusion was done. Of the 253 children admitted between March 2013 and June 2014, 79 (31.2%) had severe anaemia and were transfused with blood. Two-thirds had multiple transfusions. Higher rates of blood transfusion were obtained among underweight children. Fever (98.7%), hypoglycaemia (65.8%) and tender liver (54.4%) were the leading co-morbidities. The case fatality rate was 21.5%. Respiratory distress, convulsions and altered sensorium were significantly associated with mortality. In conclusion, severe anaemia was associated with major morbidities and mortality at the secondary level of paediatric care in Nigeria.