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Strengthening integrated primary health care in Sofala, Mozambique

Overview of attention for article published in BMC Health Services Research, May 2013
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Title
Strengthening integrated primary health care in Sofala, Mozambique
Published in
BMC Health Services Research, May 2013
DOI 10.1186/1472-6963-13-s2-s4
Pubmed ID
Authors

Kenneth Sherr, Fatima Cuembelo, Cathy Michel, Sarah Gimbel, Mark Micek, Marina Kariaganis, Alusio Pio, João Luis Manuel, James Pfeiffer, Stephen Gloyd

Abstract

Large increases in health sector investment and policies favoring upgrading and expanding the public sector health network have prioritized maternal and child health in Mozambique and, over the past decade, Mozambique has achieved substantial improvements in maternal and child health indicators. Over this same period, the government of Mozambique has continued to decentralize the management of public sector resources to the district level, including in the health sector, with the aim of bringing decision-making and resources closer to service beneficiaries. Weak district level management capacity has hindered the decentralization process, and building this capacity is an important link to ensure that resources translate to improved service delivery and further improvements in population health. A consortium of the Ministry of Health, Health Alliance International, Eduardo Mondlane University, and the University of Washington are implementing a health systems strengthening model in Sofala Province, central Mozambique.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Belgium 1 <1%
Sierra Leone 1 <1%
Unknown 259 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 63 24%
Researcher 36 14%
Student > Ph. D. Student 25 9%
Student > Doctoral Student 19 7%
Other 14 5%
Other 54 20%
Unknown 54 20%
Readers by discipline Count As %
Medicine and Dentistry 75 28%
Social Sciences 44 17%
Nursing and Health Professions 29 11%
Computer Science 9 3%
Business, Management and Accounting 9 3%
Other 33 12%
Unknown 66 25%