An evaluation of the quality of obstetric morbidity coding using an objective assessment tool, the Performance Indicators For Coding Quality (PICQ).
The Performance Indicators for Coding Quality (PICQ) is a data quality assessment tool developed by Australia's National Centre for Classification in Health (NCCH). PICQ consists of a number of indicators covering all ICD-10-AM disease chapters, some procedure chapters from the Australian Classification of Health Intervention (ACHI) and some Australian Coding Standards (ACS). The indicators can be used to assess the coding quality of hospital morbidity data by monitoring compliance of coding conventions and ACS; this enables the identification of particular records that may be incorrectly coded, thus providing a measure of data quality. There are 31 obstetric indicators available for the ICD-10-AM Fourth Edition. Twenty of these 31 indicators were classified as Fatal, nine as Warning and two Relative. These indicators were used to examine coding quality of obstetric records in the 2004-2005 financial year Australian national hospital morbidity dataset. Records with obstetric disease or procedure codes listed anywhere in the code string were extracted and exported from the SPSS source file. Data were then imported into a Microsoft Access database table as per PICQ instructions, and run against all Fatal and Warning and Relative (N=31) obstetric PICQ 2006 Fourth Edition Indicators v.5 for the ICD-10- AM Fourth Edition. There were 689,905 gynaecological and obstetric records in the 2004-2005 financial year, of which 1.14% were found to have triggered Fatal degree errors, 3.78% Warning degree errors and 8.35% Relative degree errors. The types of errors include completeness, redundancy, specificity and sequencing problems. It was found that PICQ is a useful initial screening tool for the assessment of ICD-10-AM/ACHI coding quality. The overall quality of codes assigned to obstetric records in the 2004- 2005 Australian national morbidity dataset is of fair quality.
Lamb
Mary K
MK
National Centre for Classification in Health, The University of Sydney, Lidcombe NSW, Australia. m.lam@usyd.edu.au
Innes
Kerry
K
Saad
Patricia
P
Rust
Julie
J
Dimitropoulos
Vera
V
Cumerlato
Megan
M
D001315:Australia; D059019:Clinical Coding / Q000592:standards*; D005260:Female; D006801:Humans; D038801:International Classification of Diseases / Q000145:classification; D007744:Obstetric Labor Complications / Q000145:classification* / Q000175:diagnosis / Q000628:therapy; D013513:Obstetric Surgical Procedures / Q000145:classification* / Q000379:methods; D009774:Obstetrics / Q000145:classification / Q000592:standards; D010351:Patient Discharge / Q000706:statistics & numerical data; D011247:Pregnancy; D011248:Pregnancy Complications / Q000145:classification* / Q000175:diagnosis / Q000628:therapy; D019984:Quality Indicators, Health Care