Login / Signup

Diagnostic accuracy of the Patient Health Questionnaire 2 (PHQ-2) in Qatar's primary care settings.

Saad Thamer SedeeqMohammad Jamil Mohammad AlTamimiEhab Said HamedMohamed Ahmed Syed
Published in: Primary health care research & development (2022)
This cross-sectional study was designed to establish diagnostic accuracy of the Patient Health Questionnaire 2 in Qatar's primary care population. The data required for the study were anonymously extracted from Qatar's primary care electronic medical record system. The sensitivity, specificity, predictive values, negative values and optimal cut-off points were calculated for the tool. A total of 6921 individuals met the study's inclusion criteria. The diagnostic accuracy of cut-off values was calculated for scores 1-6. Based on the Youden's index (0.58), a score of 2 was identified as the most optimal cut-off. It offers a sensitivity of 88.73% and specificity of 69.31%. Further studies should aim to confirm the results using alternative study designs and to report them in accordance to population characteristics both in Qatar and internationally.
Keyphrases
  • primary care
  • healthcare
  • public health
  • mental health
  • cross sectional
  • machine learning
  • electronic health record
  • big data
  • deep learning