The article reviews and provides key findings related to the quality improvement for maternal and newborn health at district scale (QUADS2), an intervention carried out in four districts in Mtwara, Tanzania. It provides details of how data collected using an electronic tool resulted in the improvement of maternal and newborn care services. Although significant progress has been made in the availability of information on coverage of essential services in low and middle-income countries, there is inconsistent data available on the quality of care for maternal and newborn care
BACKGROUND: Maternal and newborn mortality remain unacceptably high in sub-Saharan Africa. Tanzania ...
Assessment tools with the ability to capture WHO/UNICEF/UNFPA standard quality-of-care measures are...
INTRODUCTION:Routine health information systems are critical for monitoring service delivery. Distri...
The quality improvement for maternal and newborn health at district scale (QUADS2) intervention was ...
The Quality Improvement (QI) process addresses gaps to ensure mothers receive the care they need. Th...
INTRODUCTION: Health information management system data is collected for national planning and evalu...
In southern Tanzania, uptake of health facility births is high at 80%. Paradoxically, maternal and n...
BACKGROUND: The lack of high quality timely data for evidence-informed decision making at the distri...
This thesis explores feasible and context-specific strategies that can help improve health care for ...
BackgroundThe lack of high quality timely data for evidence-informed decision making at the district...
To reduce maternal mortality in rural Tanzania, the need to improve antenatal care remains an urgent...
BACKGROUND: Low- and middle-income countries (LMICs) face the highest burden of maternal and neonata...
Background High quality care is crucial in ensuring that women and newborns receive interventions th...
BACKGROUND: Assessment tools with the ability to capture WHO/UNICEF/UNFPA standard quality-of-care m...
OBJECTIVES: Primary objective: to assess nine data quality metrics for 14 maternal and newborn healt...
BACKGROUND: Maternal and newborn mortality remain unacceptably high in sub-Saharan Africa. Tanzania ...
Assessment tools with the ability to capture WHO/UNICEF/UNFPA standard quality-of-care measures are...
INTRODUCTION:Routine health information systems are critical for monitoring service delivery. Distri...
The quality improvement for maternal and newborn health at district scale (QUADS2) intervention was ...
The Quality Improvement (QI) process addresses gaps to ensure mothers receive the care they need. Th...
INTRODUCTION: Health information management system data is collected for national planning and evalu...
In southern Tanzania, uptake of health facility births is high at 80%. Paradoxically, maternal and n...
BACKGROUND: The lack of high quality timely data for evidence-informed decision making at the distri...
This thesis explores feasible and context-specific strategies that can help improve health care for ...
BackgroundThe lack of high quality timely data for evidence-informed decision making at the district...
To reduce maternal mortality in rural Tanzania, the need to improve antenatal care remains an urgent...
BACKGROUND: Low- and middle-income countries (LMICs) face the highest burden of maternal and neonata...
Background High quality care is crucial in ensuring that women and newborns receive interventions th...
BACKGROUND: Assessment tools with the ability to capture WHO/UNICEF/UNFPA standard quality-of-care m...
OBJECTIVES: Primary objective: to assess nine data quality metrics for 14 maternal and newborn healt...
BACKGROUND: Maternal and newborn mortality remain unacceptably high in sub-Saharan Africa. Tanzania ...
Assessment tools with the ability to capture WHO/UNICEF/UNFPA standard quality-of-care measures are...
INTRODUCTION:Routine health information systems are critical for monitoring service delivery. Distri...