Guidelines for developing geographically sensitive mobile health applications
In: Health and Technology, Band 11, Heft 2, S. 379-387
ISSN: 2190-7196
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In: Health and Technology, Band 11, Heft 2, S. 379-387
ISSN: 2190-7196
Background: Mozambique has one of the highest rates of maternal mortality in sub-Saharan Africa. The main influences on maternal health encompass social, economic, political, environmental and cultural determinants of health. To effectively address maternal mortality in the post-2015 agenda, interventions need to consider the determinants of health so that their delivery is not limited to the health sector. The objective of this exploratory qualitative study was to identify key community groups' perspectives on the perceived determinants of maternal health in rural areas of southern Mozambique. Methods: Eleven focus group discussions were conducted with women of reproductive age, pregnant women, matrons, male partners, community leaders and health workers. Participants were recruited using sampling techniques of convenience and snow balling. Focus groups had an average of nine participants each. The heads of 12 administrative posts were also interviewed to understand the local context. Data were coded and analysed thematically using NVivo software. Results: A broad range of political, economic, socio-cultural and environmental determinants of maternal health were identified by community representatives. It was perceived that the civil war has resulted in local unemployment and poverty that had a number of downstream effects including lack of funds for accessing medical care and transport, and influence on socio-cultural determinants, particularly gender relations that disadvantaged women. Socio-cultural determinants included intimate partner violence toward women, and strained relationships with in-laws and co-spouses. Social relationships were complex as there were both negative and positive impacts on maternal health. Environmental determinants included natural disasters and poor access to roads and transport exacerbated by the wet season and subsequent flooding. Conclusions: In rural southern Mozambique, community perceptions of the determinants of maternal health included political, economic, socio-cultural and environmental factors. These determinants were closely linked with one another and highlight the importance of including the local history, context, culture and geography in the design of maternal health programs. ; Medicine, Faculty of ; Other UBC ; Non UBC ; Medicine, Department of ; Obstetrics and Gynaecology, Department of ; Reviewed ; Faculty
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This correspondence argues and offers recommendations for how Geographic Information System (GIS) applied to maternal and newborn health data could potentially be used as part of the broader efforts for ending preventable maternal and newborn mortality. These recommendations were generated from a technical consultation on reporting and mapping maternal deaths that was held in Washington, DC from January 12 to 13, 2015 and hosted by the United States Agency for International Development's (USAID) global Maternal and Child Survival Program (MCSP). Approximately 72 participants from over 25 global health organizations, government agencies, donors, universities, and other groups participated in the meeting. The meeting placed emphases on how improved use of mapping could contribute to the post-2015 United Nation's Sustainable Development Goals (SDGs), agenda in general and to contribute to better maternal and neonatal health outcomes in particular. Researchers and policy makers have been calling for more equitable improvement in Maternal and Newborn Health (MNH), specifically addressing hard-to-reach populations at sub-national levels. Data visualization using mapping and geospatial analyses play a significant role in addressing the emerging need for improved spatial investigation at subnational scale. This correspondence identifies key challenges and recommendations so GIS may be better applied to maternal health programs in resource poor settings. The challenges and recommendations are broadly grouped into three categories: ancillary geospatial and MNH data sources, technical and human resources needs and community participation.
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