Piotr paczkowski forex exchange
Mbaruku, and S. Galea jointly designed the study and coordinated the fieldwork. Kruk and S. Galea supervised data entry and analysis. Paczkowski led the data analysis. All authors made critical revisions of the article. Accepted November 28, We fielded a population-based discrete choice experiment DCE in rural western Tanzania, where only one third of women deliver children in a health facility, to evaluate health-system factors that influence women's delivery decisions.
Women were shown choice cards that described 2 hypothetical health centers by means of 6 attributes distance, cost, type of provider, attitude of provider, drugs and equipment, free transport. The women were then asked to indicate which of the 2 facilities they would prefer to use for a future delivery. We used a hierarchical Bayes procedure to estimate individual and mean utility parameters. A total of women completed the DCE. The model showed good predictive validity for actual facility choice.
The most important facility attributes were a respectful provider attitude and availability of drugs and medical equipment. In regions in which attended delivery rates are low despite availability of primary care facilities, policy experiments should test the effect of targeted quality improvements on facility use. Despite several decades of global health initiatives focused on maternal health, maternal mortality has proven to be an intractable problem. The Millennium Development Goal indicator of maternal health, the maternal mortality ratio, has remained essentially unchanged over the past 15 years, with an estimated mean annual decline of 0.
Ninety-nine percent of maternal deaths occur in the developing world, and sub-Saharan Africa has the highest maternal mortality ratio in the world per live births. The most recent estimate of Tanzania's maternal mortality ratio is per live births. The recent influx of international donor assistance to Africa, including Tanzania, offers new opportunities to strengthen health systems and makes the need for evidence-informed policies more urgent. A common form of conjoint analysis is the discrete choice experiment DCE , in which respondents e.
Respondents are then asked to select their preferred scenario. This approach to valuing health care is more consistent with the current consensus that health care systems should be responsive to individuals' legitimate expectations regarding, for example, waiting time, health communication, and patient choice.
DCEs have been shown to be easy to administer and have demonstrated good test—retest reliability. The increase was higher in program-supported than nonprogram-supported health centers and dispensaries. The number of cesarean deliveries almost doubled, and the population cesarean delivery rate increased from 2. The institutional maternal mortality ratio across all health facilities declined from to deaths per , live births.
The total stillbirth rate declined from The predischarge neonatal mortality rate declined from Changes in case fatality rate and maternal mortality were driven by project-supported facilities. Changes in neonatal mortality varied depending on facility type and program support status. Conclusion: Decentralizing high-quality comprehensive EmONC delivered mostly by associate clinicians and nurses led to significant improvements in the availability and utilization of lifesaving care at birth in Kigoma.
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