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The Perinatal Problem Identification Programme ( PPIP) was designed and developed in South Africa as a facility audit tool for perinatal deaths. It has been used by only a few hospitals since the late 1990s, but since the country's commitment to achieve Millennium Development Goal 4-the use of PPIP is now mandatory for all facilities delivering pregnant mothers and caring for newborns. To date 588 sites, representing 73% of the deliveries captured by the District Health Information System for South Africa, provide data to the national database at the Medical Research Council Unit for Maternal and Infant Health Care Strategies in Pretoria. [ABSTRACT FROM AUTHOR]

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The annual toll of losses resulting from poor pregnancy outcomes include half a million maternal deaths, more than three million stillbirths, of whom at least one million die during labour and 3.8 million neonatal deaths—up to half on the first day of life. Neonatal deaths account for an increasing proportion of child deaths (now 41%) and must be reduced to achieve Millennium Development Goal (MDG) 4 for child survival. Newborn survival is also related to MDG 5 for maternal health as the interventions are closely linked. This article reviews current progress for newborn health globally, with a focus on the countries where most deaths occur. Three major causes of neonatal deaths (infections, complications of preterm birth, intrapartum-related neonatal deaths) account for almost 90% of all neonatal deaths. The highest impact interventions to address these causes of neonatal death are summarised with estimates of potential for lives saved. Two priority opportunities to address newborn deaths through existing maternal health programmes are highlighted. First, antenatal steroids are high impact, feasible and yet under-used in low resource settings. Second, with increasing investment to scale up skilled attendance and emergency obstetric care, it is important to include skills and equipment for simple immediate newborn care and neonatal resuscitation. A major gap is care during the early postnatal period for mothers and babies. There are promising models that have been tested mainly in research studies in Asia that are now being adapted and evaluated at scale including through a network of African implementation research trials. [ABSTRACT FROM AUTHOR]

The Perinatal Problem Identification Programme (PPIP) was designed and developed in South Africa as a facility audit tool for perinatal deaths. It has been used by only a few hospitals since the late 1990s, but since the country's commitment to achieve Millennium Development Goal 4-the use of PPIP is now mandatory for all facilities delivering pregnant mothers and caring for newborns. To date 588 sites, representing 73% of the deliveries captured by the District Health Information System for South Africa, provide data to the national database at the Medical Research Council Unit for Maternal and Infant Health Care Strategies in Pretoria., (© 2014 Royal College of Obstetricians and Gynaecologists.)

Context: The Liaison Committee on Medical Education (LCME) requires there to be: '...comparable educational experiences and equivalent methods of evaluation across all alternative instructional sites within a given discipline'. It is an LCME accreditation requirement that students encounter similar numbers of patients with similar diagnoses. However, previous empirical studies have not shown a correlation between the numbers of patients seen by students and performance on multiple-choice examinations., Objective: This study examined whether student exposure to patients with specific diagnoses predicts performance on multiple-choice examination questions pertaining to those diagnoses., Methods: The Department of Pediatrics at the University of Nebraska Medical Center has collected patient logbooks from clerks since 1994. These contain information on patient demographics and students' roles in patient care. During week 7 of an 8-week course, students took an examination intended to help them prepare for their final examination. Logbooks and pre-examination questions were coded using standard ICD-9 codes. Data were analysed using Minitab statistical software to determine dependence between patient encounters and test scores. Subjects comprised a convenience sample of students who completed the clerkship during 1997-2000., Results: Our analysis indicates that performance on a multiple-choice examination is independent of the number of patients seen., Conclusions: Our data suggest knowledge-based examination performance cannot be predicted by the volume of patients seen. Therefore, too much emphasis on examination performance in clinical courses should be carefully weighed against clinical performance to determine the successful completion of clerkships.