An occupational health services initiative at a women's hospital in Kabul, Afghanistan.

This article describes the process of developing targeted occupational health services for the health care workers in a women's hospital in Kabul, Afghanistan, as part of a larger project to establish an obstetrics and gynecology residency training program at the facility. The goal was to create a feasible and sustainable program to: (1) address basic health care needs impacting the ability of these Afghan health care workers to optimize learning opportunities; (2) decrease absenteeism due to illness; (3) decrease the likelihood of infectious disease transmission among staff, from staff to patients, and from patients to staff; (4) foster belief that a healthy and safe working environment is a basic right; (5) begin to collect preliminary health status indicators on health care workers in this employee population; and (6) serve as an adaptable program to expand to other Afghan health care workers.

Implementing a facility-based maternal and perinatal health care surveillance system in Afghanistan.

Afghanistan has one of the highest maternal and perinatal mortality rates in the world. Lack of a health information system presented obstacles to efforts to improve the quality of care and reduce mortality. To rapidly overcome this deficit in a large women's hospital, staff implemented a facility-based maternal and perinatal surveillance system known as "BABIES," which is specially designed for intervention and evaluation in low-resource settings. During a 12-month period, 15,509 deliveries resulted in 28 maternal deaths and a perinatal mortality rate of 56 per 1000 births. When stratified by birth weight and perinatal period of death, fetuses weighing at least 2500 g who died during the antepartum period contributed the most cases of perinatal death. This finding suggests that the greatest reduction in perinatal mortality would be realized by increasing access to high-quality antepartum care. Among fetuses weighing at least 2500 g, 93 deaths occurred during the intrapartum period. These deaths will continue to be monitored to ensure that the chosen interventions are improving intrapartum care for mothers and newborns. Because of its simplicity, flexibility, and ability to identify interventions, BABIES is a valuable tool that enables clinicians and program managers to prioritize resources.

A parsimonious explanation for intersecting perinatal mortality curves: understanding the effects of race and of maternal smoking.

BACKGROUND: Neonatal mortality rates among black infants are lower than neonatal mortality rates among white infants at birth weights <3000 g, whereas white infants have a survival advantage at higher birth weights. This finding is also observed when birth weight-specific neonatal mortality rates are compared between infants of smokers and non-smokers. We provide a parsimonious explanation for this paradoxical phenomenon. METHODS: We used data on births in the United States in 1997 after excluding those with a birth weight <500 g or a gestational age <22 weeks. Birth weight- and gestational age-specific perinatal mortality rates were calculated per convention (using total live births at each birth weight/gestational age as the denominator) and also using the fetuses at risk of death at each gestational age. RESULTS: Perinatal mortality rates (calculated per convention) were lower among blacks than whites at lower birth weights and at preterm gestational ages, while blacks had higher mortality rates at higher birth weights and later gestational ages. With the fetuses-at-risk approach, mortality curves did not intersect; blacks had higher mortality rates at all gestational ages. Increases in birth rates and (especially) growth-restriction rates presaged gestational age-dependent increases in perinatal mortality. Similar findings were obtained in comparisons of smokers versus nonsmokers. CONCLUSIONS: Formulating perinatal risk based on the fetuses-at-risk approach solves the intersecting perinatal mortality curves paradox; blacks have higher perinatal mortality rates than whites and smokers have higher perinatal mortality rates than nonsmokers at all gestational ages and birth weights.

Underestimation of infant mortality rates in one republic of the former Soviet Union.

OBJECTIVES: Kazakhstan's live-birth definition--that dates from the former Soviet Union (FSU) era--differs from that used by the World Health Organization (WHO). We studied the impacts of both live-birth definitions on the computations of the infant mortality rate (IMR) and maternal and child health (MCH) planning in Zhambyl Oblast, Kazakhstan. METHODS: We interviewed caregivers and abstracted medical records to obtain birth weight and age-at-death information on infant deaths in Zhambyl Oblast from November 1, 1996, through October 31, 1997. Using the 2 indicators of birth weight and age at death, we created a matrix delineating the respective contribution to infant death (maternal health, newborn care, or infant care) for the cells. We then calculated the IMR, birth weight-specific IMR (BWS-IMR), and birth weight-proportionate IMR (BWP-IMR) for each cell. RESULTS: The observed IMR in Zhambyl Oblast, in 1996--using the definition of a live birth from the FSU--was 32 per 1000 live births. The recalculated IMR--using the WHO definition--was 58.7 per 1000 live births. Computed estimates of the contribution to infant death, by the categories of maternal health, newborn care, and infant care, were 10%, 23%, and 67%, respectively, when using the live-birth definition from the Soviet era. These estimates shifted to 24%, 41%, and 35%, respectively, when using the WHO definition, yet only 8% of the Zhambyl Oblast MCH budget was earmarked to maternal health and newborn care, which we estimated accounted for 65% of infant deaths. CONCLUSIONS: The live-birth definition commonly used in the FSU underestimated the IMR and undervalued the contributions to infant death by both maternal health and newborn care. We recommend that all republics of the FSU adopt the WHO live-birth definition so that the IMR can serve as a better indicator for MCH planning.