OPERAS decision support system versus manual job coding: a quantitative analysis on coding time and inter-coder reliability.

ABSTRACT:

Objectives

The manual coding of job descriptions is time-consuming, expensive and requires expert knowledge. Decision support systems (DSS) provide a valuable alternative by offering automated suggestions that support decision-making, improving efficiency while allowing manual corrections to ensure reliability. However, this claim has not been proven with expert coders. This study aims to fill this omission by comparing manual with decision-supported coding, using the new DSS OPERAS.

Methods

Five expert coders proficient in using the French classification systems for occupations PCS2003 and activity sectors NAF2008 each successively coded two subsets of job descriptions from the CONSTANCES cohort manually and using OPERAS. Subsequently, we assessed coding time and inter-code

SUBMITTER: Langezaal MA 

PROVIDER: S-EPMC12322435 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature