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Quality of routine facility data for monitoring priority maternal and newborn indicators in DHIS2: A case study from Gombe State, Nigeria.

Antoinette Alas BhattacharyaNasir UmarAhmed AuduHabila FelixElizabeth AllenJoanna R M SchellenbergTanya Marchant
Published in: PloS one (2019)
This case study from Gombe State, Nigeria, demonstrates the high potential for effective monitoring of maternal and neonatal health using DHIS2. However, coordinated action at multiple levels of the health system is needed to maximize reporting of existing data; rationalize data flow; routinize data quality review, feedback, and supervision; and ensure ongoing maintenance of DHIS2.
Keyphrases
  • electronic health record
  • big data
  • public health
  • healthcare
  • birth weight
  • body mass index
  • clinical practice
  • risk assessment
  • artificial intelligence
  • human health
  • pregnancy outcomes
  • physical activity
  • climate change