Background Sub-Saharan Africa and south Asia contributed 81% of 5•9 million under-5 deaths and 77% of 2•6 million stillbirths worldwide in 2015. Vital registration and verbal autopsy data are mainstays for the estimation of leading causes of death, but both are non-specific and focus on a single underlying cause. We aimed to provide granular data on the contributory causes of death in stillborn fetuses and in deceased neonates and children younger than 5 years, to inform child mortality prevention efforts. Methods The Child Health and Mortality Prevention Surveillance (CHAMPS) Network was established at sites in seven countries (

Despite reductions over the past 2 decades, childhood mortality remains high in low- and middle-income countries in sub-Saharan Africa and South Asia. In these settings, children often die at home, without contact with the health system, and are neither accounted for, nor attributed with a cause of death. In addition, when cause of death determinations occur, they often use nonspecific methods. Consequently, findings from models currently utilized to build national and global estimates of causes of death are associated with substantial uncertainty. Higher-quality data would enable stakeholders to effectively target interventions for the leading causes of childhood mortality, a critical component to achieving the Sustainable Development Goals by eliminating preventable perinatal and childhood deaths. The Child Health and Mortality Prevention Surveillance (CHAMPS) Network tracks the causes of under-5 mortality and stillbirths at sites in sub-Saharan Africa and South Asia through comprehensive mortality surveillance, utilizing minimally invasive tissue sampling (MITS), postmortem laboratory and pathology testing, verbal autopsy, and clinical and demographic data. CHAMPS sites have established facility- and community-based mortality notification systems, which aim to report potentially eligible deaths, defined as under-5 deaths and stillbirths within a defined catchment area, within 24–36 hours so that MITS can be conducted quickly after death. Where MITS has been conducted, a final cause of death is determined by an expert review panel. Data on cause of death will be provided to local, national, and global stakeholders to inform strategies to reduce perinatal and childhood mortality in sub-Saharan Africa and South Asia.

This study examined the effectiveness of a veterans affairs (VA) patient-centered care coordination/home-telehealth (CC/HT) program as an adjunct to treatment for veterans with diabetes. Using an adapted version of the Chronic Care Model, we analyzed the differences in healthcare service use between a cohort of 400 veterans with diabetes who were enrolled in a VA CC/HT program and a matched comparison cohort of 400 veterans with diabetes who received no CC/HT intervention. Propensity scores were used to improve the balance between the treatment and comparison groups. Service use outcomes were assessed at 12 months before and after enrollment. A difference-in-differences approach was used in the multivariate models to assess the treatment effect for patients in the CC/HT programs. Twelve months after enrollment, there was a significant difference between the treatment and comparison groups in terms of need-based primary care visits (newly scheduled visits that enable the veteran to be seen "just in time," where the health status is monitored and met before health deteriorates), increasing in the treatment group and decreasing in the comparison group (P < .01). In a subgroup analysis, where we were able to control for the patients' Hb A1c values, we found that the treatment group had a lower likelihood of having 1 or more hospitalizations than patients in the comparison group. Our findings have implications for management in that the CC/HT program appears to improve the ability of older veterans with diabetes to receive appropriate, timely care, thereby improving the quality of care for them and making more efficient use of VA healthcare resources.