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Identifying implementation bottlenecks for maternal and newborn health interventions in rural districts of the United Republic of Tanzania

Overview of attention for article published in Bulletin of the World Health Organization, April 2015
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Title
Identifying implementation bottlenecks for maternal and newborn health interventions in rural districts of the United Republic of Tanzania
Published in
Bulletin of the World Health Organization, April 2015
DOI 10.2471/blt.14.141879
Pubmed ID
Authors

Ulrika Baker, Stefan Peterson, Tanya Marchant, Godfrey Mbaruku, Silas Temu, Fatuma Manzi, Claudia Hanson

Abstract

To estimate effective coverage of maternal and newborn health interventions and to identify bottlenecks in their implementation in rural districts of the United Republic of Tanzania. Cross-sectional data from households and health facilities in Tandahimba and Newala districts were used in the analysis. We adapted Tanahashi's model to estimate intervention coverage in conditional stages and to identify implementation bottlenecks in access, health facility readiness and clinical practice. The interventions studied were syphilis and pre-eclampsia screening, partograph use, active management of the third stage of labour and postpartum care. Effective coverage was low in both districts, ranging from only 3% for postpartum care in Tandahimba to 49% for active management of the third stage of labour in Newala. In Tandahimba, health facility readiness was the largest bottleneck for most interventions, whereas in Newala, it was access. Clinical practice was another large bottleneck for syphilis screening in both districts. The poor effective coverage of maternal and newborn health interventions in rural districts of the United Republic of Tanzania reinforces the need to prioritize health service quality. Access to high-quality local data by decision-makers would assist planning and prioritization. The approach of estimating effective coverage and identifying bottlenecks described here could facilitate progress towards universal health coverage for any area of care and in any context.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Rwanda 1 <1%
Belgium 1 <1%
Unknown 257 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 53 20%
Researcher 37 14%
Student > Ph. D. Student 24 9%
Student > Bachelor 19 7%
Student > Postgraduate 18 7%
Other 45 17%
Unknown 65 25%
Readers by discipline Count As %
Medicine and Dentistry 73 28%
Nursing and Health Professions 37 14%
Social Sciences 32 12%
Agricultural and Biological Sciences 7 3%
Psychology 7 3%
Other 26 10%
Unknown 79 30%