Change search
ReferencesLink to record
Permanent link

Direct link
Data processing costs for three posture assessment methods
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine.
2013 (English)In: BMC medical research methodology, ISSN 1471-2288, Vol. 13, 124- p.Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Data processing contributes a non-trivial proportion to total research costs, but documentation of these costs is rare. This paper employed a priori cost tracking for three posture assessment methods (self-report, observation of video, and inclinometry), developed a model describing the fixed and variable cost components, and simulated additional study scenarios to demonstrate the utility of the model.

METHODS: Trunk and shoulder postures of aircraft baggage handlers were assessed for 80 working days using all three methods. A model was developed to estimate data processing phase costs, including fixed and variable components related to study planning and administration, custom software development, training of analysts, and processing time.

RESULTS: Observation of video was the most costly data processing method with total cost of € 30,630, and was 1.2-fold more costly than inclinometry (€ 26,255), and 2.5-fold more costly than self-reported data (€ 12,491). Simulated scenarios showed altering design strategy could substantially impact processing costs. This was shown for both fixed parameters, such as software development and training costs, and variable parameters, such as the number of work-shift files processed, as well as the sampling frequency for video observation. When data collection and data processing costs were combined, the cost difference between video and inclinometer methods was reduced to 7%; simulated data showed this difference could be diminished and, even, reversed at larger study sample sizes. Self-report remained substantially less costly under all design strategies, but produced alternate exposure metrics.

CONCLUSIONS: These findings build on the previously published data collection phase cost model by reporting costs for post-collection data processing of the same data set. Together, these models permit empirically based study planning and identification of cost-efficient study designs.

Place, publisher, year, edition, pages
BioMed Central, 2013. Vol. 13, 124- p.
Keyword [en]
Cost-efficiency, Exposure, Shoulder, Back, Inclinometry, Observation, Questionnaire, Work related musculoskeletal disorders, Methods development
National Category
Public Health, Global Health, Social Medicine and Epidemiology
URN: urn:nbn:se:umu:diva-84951DOI: 10.1186/1471-2288-13-124PubMedID: 24118872OAI: diva2:690328
AFA Insurance, 100071Forte, Swedish Research Council for Health, Working Life and Welfare, Dnr 2009-1761
Available from: 2014-01-23 Created: 2014-01-23 Last updated: 2014-02-07Bibliographically approved

Open Access in DiVA

fulltext(1055 kB)98 downloads
File information
File name FULLTEXT01.pdfFile size 1055 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Wahlström, Jens
By organisation
Occupational and Environmental Medicine
Public Health, Global Health, Social Medicine and Epidemiology

Search outside of DiVA

GoogleGoogle Scholar
Total: 98 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 45 hits
ReferencesLink to record
Permanent link

Direct link