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The Sentinel Panel of Districts (SPD) consists of 23 districts selected to provide nationally representative data on demographic and health indicators in Tanzania. The SPD has two arms: SAVVY and FBIS. SAVVY (SAmple Vital registration with Verbal autopsY) is a demographic surveillance system that provides nationally representative estimates of mortalities based on age, sex, residence and zone. SAVVY covers over 805 000 persons, or about 2% of the Tanzania mainland population, and uses repeat household census every 4-5 years, with ongoing reporting of births, deaths and causes of deaths. The FBIS (Facility-Based Information System) collects routine national health management information system data. These health service use data are collected monthly at all public and private health facilities in SPD districts, i.e. about 35% of all facilities in Mainland Tanzania. Both SAVVY and FBIS systems are capable of generating supplementary information from nested periodic surveys. Additional information about the design of the SPD is available online: access to some of SPD's aggregate data can be requested by sending an e-mail to [hmasanja@ihi.or.tz]., (© The Author 2014; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.)

In order to understand home-based neonatal care practices in rural Tanzania, with the aim of providing a basis for the development of strategies for improving neonatal survival, we conducted a qualitative study in southern Tanzania. In-depth interviews, focus group discussions and case studies were used through a network of female community-based informants in eight villages of Lindi Rural and Tandahimba districts. Data collection took place between March 2005 and April 2007. The results show that although women and families do make efforts to prepare for childbirth, most home births are assisted by unskilled attendants, which contributes to a lack of immediate appropriate care for both mother and baby. The umbilical cord is thought to make the baby vulnerable to witchcraft and great care is taken to shield both mother and baby from bad spirits until the cord stump falls off. Some neonates are denied colostrum, which is perceived as dirty. Behaviour-change communication efforts are needed to improve early newborn care practices.

We assessed the inter-observer agreement in identification of a range of 24 clinical signs associated with disease presentation in 327 children aged < 5 years admitted to hospital in January-June 1999 in Ifakara, southern Tanzania. Children with diagnoses of malaria, pneumonia, diarrhoea, anaemia and malnutrition were examined independently by 2 clinical officers. Findings were recorded on a standard proforma. The Kappa-statistic was used to assess inter-observer agreement for each sign. Physical signs were more likely to be agreed upon by clinicians if they involved inspection than if they involved auscultation. The signs included in the Integrated Management of Childhood Illness (IMCI) algorithm were found to be largely appropriate (Kappa-scores > 0.41) although there was only fair agreement (Kappa-score 0.21-0.40) in the detection of neck stiffness and chest indrawing and slight agreement in the detection of dehydration (Kappa-score 0.199). All objective neurological signs were less reliably assessed in infants than in older children. The difficulties surrounding the diagnosis of impaired consciousness in young children should increase vigilance in the diagnosis and management of neurological complications of illnesses in infancy.

Background: Although malaria is known to be a major cause of child mortality and morbidity throughout sub-Saharan Africa there are few detailed studies of malaria mortality rates and incidence of severe malarial disease in defined communities. We have studied the geographical pattern of admissions to hospital with severe malaria and the stability of this pattern over time in Kilifi District on the Kenyan Coast., Methods: Over a 2-year period all children under 5 years of age with severe malaria admitted to the district hospital and living in a rural study population of about 50,000 people were identified. Annual censuses were carried out in the study area, and all households were mapped using a hand-held satellite navigation system. The resulting databases were linked using a geographical information system (GIS)., Results: Using methods originally developed for the study of the geographical distribution of childhood leukaemia we assessed the spatial pattern of hospital admission rates for severe malaria. As expected, admission rates were significantly higher in children with easier access to the hospital. For example, those living more than 25 km from the hospital had admission rates which were about one-fifth of those for children living within 5 km of the hospital. Those living more than 2.5 km from the nearest road had admission rates that were about half of those for children living within 0.5 km of a road. We also investigated short-term local fluctuations in severe malaria and found evidence of space-time clustering of severe malaria., Conclusions: Hospital admission rates for severe malaria are higher in households with better access to hospital than in those further away. The finding of space-time clusters of severe malaria suggests that it would be of value to conduct case-control studies of environmental, genetic and human behavioural factors involved in the aetiology of the disease.

The Blantyre coma scale (BCS) is used to assess children with severe falciparum malaria, particularly as a criterion for cerebral malaria, but it has not been formally validated. We compared the BCS to the Adelaide coma scale (ACS), for Kenyan children with severe malaria. We examined the inter-observer agreement between 3 observers in the assessment of coma scales on 17 children by measuring the proportion of agreement (PA), disagreement rate (DR) and fixed sample size kappa (kappa n). We assessed the sensitivity and specificity of the scales in detecting events (seizures and hypoglycaemia) in 240 children during admission and the usefulness of the scales in predicting outcome. There was considerable disagreement between observers in the assessment of both scales (BCS: PA = 0.55, DR = 0.09 and kappa n = 0.27; ACS: PA = 0.36, DR = 0.31, and kappa n = 0.31), particularly with the verbal component of the BCS (kappa n = 0.02). Compared to the ACS, the BCS was more specific (0.85 for BCS and 0.80 for ACS), but less sensitive (0.25-0.69 vs. 0.38-0.88 respectively) in detecting events and was a worse predictor of neurological sequelae. The BCS provided a better overall assessment of a child's incapacity from falciparum malaria, but the ACS was more useful in assessing neurological disturbances.