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Introducing an efficient sampling method for national surveys with limited sample sizes: application to a national study to determine quality and cost of healthcare.

Mahboubeh ParsaeianMahdi MahdaviMojdeh SaadatiParinaz MehdipourAli SheidaeiShahab KhatibzadehFarshad FarzadfarSaeid Shahraz
Published in: BMC public health (2021)
The use of data mining improved the efficiency of sampling up to 1.7 times greater than SRS and markedly reduced the number of strata to eight in the entire country. The proposed sampling design also identified key variables that could be used to classify districts in Iran for sampling from these target populations in the future studies.
Keyphrases
  • healthcare
  • quality improvement
  • electronic health record
  • current status
  • big data
  • machine learning
  • data analysis
  • affordable care act