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Data completeness and consistency in individual medical records of institutional births: retrospective crossectional study from Northwest Ethiopia, 2022.

Biniam Kefiyalew TayeLemma Derseh GezieAsmamaw AtnafuShegaw Anagaw MengisteBinyam Tilahun
Published in: BMC health services research (2023)
Most medical records were found to have good completeness, but nearly only a quarter of them found to contain consistent data. Completeness and consistency varied on the type of medical record. Health facility's root cause analysis of data quality gaps, the presence of trained providers in data quality, and supportive supervision from higher officials were identified as factors affecting data quality in institutional birth service. These results emphasize the importance of focused efforts to enhance data completeness and consistency within Individual Medical Records, particularly through consideration of Individual Medical Records in future provider training, supervision, and the implementation of root cause analysis practices.
Keyphrases
  • healthcare
  • electronic health record
  • big data
  • primary care
  • mental health
  • data analysis
  • climate change
  • deep learning