Job coding (PCS 2003): feedback from a study conducted in an Occupational Health Service

Area of Science:

• Occupational Health
• Sociology
• Data Management

Background:

• Accurate job classification is crucial for occupational health surveillance and research.
• Manual coding of jobs can be prone to errors and inconsistencies.
• Software tools aim to assist and improve the accuracy of job coding.

Purpose of the Study:

• To evaluate the quality of manual job coding performed by occupational health teams using the CAPS software.
• To assess the agreement between initial manual coding and expert coding using the PSC 2003 classification.
• To identify potential improvements in the job coding process within occupational health services.

Main Methods:

• Analysis of 1,495 job codes from an Occupational Health Service using the French "Professions and socio-professional categories" (PSC 2003) classification.
• Comparison of first-level manual coding with second-level expert coding.
• Statistical analysis using kappa coefficient (κ) for agreement and Chi2 tests for frequency comparison.

Main Results:

• 14.5% of social groups and 25.7% of job codes had missing or incorrect data.
• Satisfactory agreement (κ=0.73-0.75) was found between initial coding levels, but a 48.2% divergent job code rate was observed.
• Significant variation (up to 8.6%) in socio-occupational variables occurred after data correction.

Conclusions:

• The CAPS tool offers effective coding assistance for occupational health professionals.
• Job coding using PSC 2003 requires trained personnel and supplementary data for optimal accuracy.
• Further refinement of coding protocols and training is recommended to enhance data quality in occupational health.