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Validity of a computer-based risk assessment method for visual ergonomics

Heiden, Marina; Zetterberg, Camilla LU ; Hemphälä, Hillevi LU ; Nylen, Per and Lindberg, Per (2019) In International Journal of Industrial Ergonomics 72. p.180-187
Abstract
Objective

To describe the development of a computer-based risk assessment method for visual ergonomics, and assess its face validity, content validity, and internal consistency.
Methods

The risk assessment method contained a questionnaire for the worker, an evaluation form for the evaluator, a section of follow-up questions based on the worker's responses, and a section for recommended changes, including an overall risk assessment with respect to daylight, lighting, illuminance, glare, flicker, work space, work object and work postures, respectively. Forty-eight trained evaluators used the method to perform 224 workplace evaluations. Content validity of the method was assessed by the completeness and distribution of... (More)
Objective

To describe the development of a computer-based risk assessment method for visual ergonomics, and assess its face validity, content validity, and internal consistency.
Methods

The risk assessment method contained a questionnaire for the worker, an evaluation form for the evaluator, a section of follow-up questions based on the worker's responses, and a section for recommended changes, including an overall risk assessment with respect to daylight, lighting, illuminance, glare, flicker, work space, work object and work postures, respectively. Forty-eight trained evaluators used the method to perform 224 workplace evaluations. Content validity of the method was assessed by the completeness and distribution of responses, and internal consistency was assessed by Cronbach's alpha, Spearman's rank correlation between items and indices, and exploratory factor analysis.
Results

The proportion of missing values in items was generally low (questionnaire: 0–2.3%; evaluation form: 1.4–4.1%). In the questionnaire, items about double vision, migraine and corrective lenses had limited information content. Cronbach's alpha and item-index correlations for the indices frequency of eyestrain, intensity of eyestrain, visual symptoms, lighting conditions, frequency of musculoskeletal discomfort and intensity of musculoskeletal discomfort were satisfactory. Based on the factor analysis, suggestions for improving some of the indices were made.
Conclusion

Our findings suggest that this computer-based method is a valid instrument for assessing risks in the visual work environment. By incorporating subjective ratings by the worker as well as objective measurements of the work environment, it provides a good basis for recommendations with respect to daylight, lighting, work surfaces/material, and work object.
Relevance to industry

Visual environment factors, such as glare, can cause eyestrain, headache and musculoskeletal discomfort. This method satisfies the need of a valid tool for determining risks associated with the visual work environment. It contains both worker's ratings and objective measurements, and is designed to be used in different types of work. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
International Journal of Industrial Ergonomics
volume
72
pages
180 - 187
publisher
Elsevier
external identifiers
  • scopus:85065916273
ISSN
0169-8141
DOI
10.1016/j.ergon.2019.05.006
language
English
LU publication?
yes
id
46c9fc99-84eb-46f8-a3d7-fc44d42858cb
date added to LUP
2019-06-05 07:43:06
date last changed
2019-06-25 03:55:05
@article{46c9fc99-84eb-46f8-a3d7-fc44d42858cb,
  abstract     = {Objective<br/><br/>To describe the development of a computer-based risk assessment method for visual ergonomics, and assess its face validity, content validity, and internal consistency.<br/>Methods<br/><br/>The risk assessment method contained a questionnaire for the worker, an evaluation form for the evaluator, a section of follow-up questions based on the worker's responses, and a section for recommended changes, including an overall risk assessment with respect to daylight, lighting, illuminance, glare, flicker, work space, work object and work postures, respectively. Forty-eight trained evaluators used the method to perform 224 workplace evaluations. Content validity of the method was assessed by the completeness and distribution of responses, and internal consistency was assessed by Cronbach's alpha, Spearman's rank correlation between items and indices, and exploratory factor analysis.<br/>Results<br/><br/>The proportion of missing values in items was generally low (questionnaire: 0–2.3%; evaluation form: 1.4–4.1%). In the questionnaire, items about double vision, migraine and corrective lenses had limited information content. Cronbach's alpha and item-index correlations for the indices frequency of eyestrain, intensity of eyestrain, visual symptoms, lighting conditions, frequency of musculoskeletal discomfort and intensity of musculoskeletal discomfort were satisfactory. Based on the factor analysis, suggestions for improving some of the indices were made.<br/>Conclusion<br/><br/>Our findings suggest that this computer-based method is a valid instrument for assessing risks in the visual work environment. By incorporating subjective ratings by the worker as well as objective measurements of the work environment, it provides a good basis for recommendations with respect to daylight, lighting, work surfaces/material, and work object.<br/>Relevance to industry<br/><br/>Visual environment factors, such as glare, can cause eyestrain, headache and musculoskeletal discomfort. This method satisfies the need of a valid tool for determining risks associated with the visual work environment. It contains both worker's ratings and objective measurements, and is designed to be used in different types of work.},
  author       = {Heiden, Marina and Zetterberg, Camilla and Hemphälä, Hillevi and Nylen, Per and Lindberg, Per},
  issn         = {0169-8141},
  language     = {eng},
  month        = {05},
  pages        = {180--187},
  publisher    = {Elsevier},
  series       = {International Journal of Industrial Ergonomics},
  title        = {Validity of a computer-based risk assessment method for visual ergonomics},
  url          = {http://dx.doi.org/10.1016/j.ergon.2019.05.006},
  volume       = {72},
  year         = {2019},
}