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An evaluation of the quality of obstetric morbidity coding using an objective assessment tool, the Performance

Mary K Lamb1, Kerry Innes, Patricia Saad

  • 1National Centre for Classification in Health, The University of Sydney, Lidcombe NSW, Australia. m.lam@usyd.edu.au

Insights

The Performance Indicators for Coding Quality (PICQ) tool assessed Australian obstetric records from 2004-2005. While overall coding quality was fair, the study identified specific errors in completeness, specificity, and sequencing.

Area of Science:

  • Health Informatics
  • Medical Coding Quality Assessment

Background:

  • The Performance Indicators for Coding Quality (PICQ) is a tool developed by Australia's National Centre for Classification in Health (NCCH).
  • PICQ assesses coding quality using indicators for ICD-10-AM disease and ACHI procedure chapters, and Australian Coding Standards (ACS).
  • It aids in identifying incorrectly coded records and measuring hospital morbidity data quality.

Purpose of the Study:

  • To evaluate the coding quality of obstetric records in the Australian national hospital morbidity dataset for the 2004-2005 financial year.
  • To utilize the 31 available obstetric indicators within the PICQ tool for this assessment.

Main Methods:

  • Extracted obstetric records (disease or procedure codes) from the 2004-2005 Australian national hospital morbidity dataset.
  • Imported data into a Microsoft Access database and applied all 31 Fatal, Warning, and Relative obstetric PICQ indicators (v.5 for ICD-10-AM Fourth Edition).

Main Results:

  • Analyzed 689,905 gynaecological and obstetric records.
  • Identified error rates: 1.14% Fatal, 3.78% Warning, and 8.35% Relative degree errors.
  • Common errors included issues with completeness, redundancy, specificity, and sequencing.

Conclusions:

  • PICQ serves as an effective initial screening tool for assessing ICD-10-AM/ACHI coding quality.
  • The overall quality of codes assigned to obstetric records in the analyzed dataset is considered fair.

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