Inter-rater Agreement Between Exposure Assessment Using Automatic Algorithms and Using Experts.
Objectives: To estimate the inter-rater agreement between exposure assessment to asthmagens in current jobs by algorithms based on task-based questionnaires (OccIDEAS) and by experts. Methods: Participants in a cross-sectional national survey of exposure to asthmagens (AWES-Asthma) were randomly spl...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/70956 |
| _version_ | 1848762350640824320 |
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| author | Florath, I. Glass, D. Rhazi, M. Parent, M. Fritschi, Lin |
| author_facet | Florath, I. Glass, D. Rhazi, M. Parent, M. Fritschi, Lin |
| author_sort | Florath, I. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Objectives: To estimate the inter-rater agreement between exposure assessment to asthmagens in current jobs by algorithms based on task-based questionnaires (OccIDEAS) and by experts. Methods: Participants in a cross-sectional national survey of exposure to asthmagens (AWES-Asthma) were randomly split into two subcohorts of equal size. Subcohort 1 was used to determine the most common asthmagen groups and occupational groups. From subcohort 2, a random sample of 200 participants was drawn and current occupational exposure (yes/no) was assessed in these by OccIDEAS and by two experts independently and then as a consensus. Inter-rater agreement was estimated using Cohen's Kappa coefficient. The null hypothesis was set at 0.4, because both the experts and the automatic algorithm assessed the exposure using the same task-based questionnaires and therefore an agreement better than by chance would be expected. Results: The Kappa coefficients for the agreement between the experts and the algorithm-based assessments ranged from 0.37 to 1, while the agreement between the two experts ranged from 0.29 to 0.94, depending on the agent being assessed. After discussion by both experts the Kappa coefficients for the consensus decision and OccIDEAS were significantly larger than 0.4 for 7 of the 10 asthmagen groups, while overall the inter-rater agreement was greater than by chance (P < 0.0001). Conclusions: The web-based application OccIDEAS is an appropriate tool for automated assessment of current exposure to asthmagens (yes/no), and requires less time-consuming work by highly-qualified research personnel than the traditional expert-based method. Further, it can learn and reuse expert determinations in future studies. |
| first_indexed | 2025-11-14T10:46:10Z |
| format | Journal Article |
| id | curtin-20.500.11937-70956 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:46:10Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-709562018-12-13T09:32:38Z Inter-rater Agreement Between Exposure Assessment Using Automatic Algorithms and Using Experts. Florath, I. Glass, D. Rhazi, M. Parent, M. Fritschi, Lin Objectives: To estimate the inter-rater agreement between exposure assessment to asthmagens in current jobs by algorithms based on task-based questionnaires (OccIDEAS) and by experts. Methods: Participants in a cross-sectional national survey of exposure to asthmagens (AWES-Asthma) were randomly split into two subcohorts of equal size. Subcohort 1 was used to determine the most common asthmagen groups and occupational groups. From subcohort 2, a random sample of 200 participants was drawn and current occupational exposure (yes/no) was assessed in these by OccIDEAS and by two experts independently and then as a consensus. Inter-rater agreement was estimated using Cohen's Kappa coefficient. The null hypothesis was set at 0.4, because both the experts and the automatic algorithm assessed the exposure using the same task-based questionnaires and therefore an agreement better than by chance would be expected. Results: The Kappa coefficients for the agreement between the experts and the algorithm-based assessments ranged from 0.37 to 1, while the agreement between the two experts ranged from 0.29 to 0.94, depending on the agent being assessed. After discussion by both experts the Kappa coefficients for the consensus decision and OccIDEAS were significantly larger than 0.4 for 7 of the 10 asthmagen groups, while overall the inter-rater agreement was greater than by chance (P < 0.0001). Conclusions: The web-based application OccIDEAS is an appropriate tool for automated assessment of current exposure to asthmagens (yes/no), and requires less time-consuming work by highly-qualified research personnel than the traditional expert-based method. Further, it can learn and reuse expert determinations in future studies. 2018 Journal Article http://hdl.handle.net/20.500.11937/70956 10.1093/annweh/wxy084 restricted |
| spellingShingle | Florath, I. Glass, D. Rhazi, M. Parent, M. Fritschi, Lin Inter-rater Agreement Between Exposure Assessment Using Automatic Algorithms and Using Experts. |
| title | Inter-rater Agreement Between Exposure Assessment Using Automatic Algorithms and Using Experts. |
| title_full | Inter-rater Agreement Between Exposure Assessment Using Automatic Algorithms and Using Experts. |
| title_fullStr | Inter-rater Agreement Between Exposure Assessment Using Automatic Algorithms and Using Experts. |
| title_full_unstemmed | Inter-rater Agreement Between Exposure Assessment Using Automatic Algorithms and Using Experts. |
| title_short | Inter-rater Agreement Between Exposure Assessment Using Automatic Algorithms and Using Experts. |
| title_sort | inter-rater agreement between exposure assessment using automatic algorithms and using experts. |
| url | http://hdl.handle.net/20.500.11937/70956 |