Nonfatal falls in construction workers: Predictors of injury severity

Gillen, M E (1996) Nonfatal falls in construction workers: Predictors of injury severity. PhD thesis, University of California, San Francisco, USA.

Abstract

This study evaluated injury severity in a group of construction workers who sustained nonfatal falls at work. The convenience sample consisted of 255 adults, predominantly males, with a mean age of 34 years (standard deviation (SD) = 9.31). A full range of construction trades was represented in the sample population. More than one quarter of the sample were union members, and more than half worked in residential construction. The mean height of fall was 9.23 feet (SD = 7.05). The mean number of lost work days was 44.3 days (SD = 58.6). Cases were identified from Doctor's First Reports submitted to the California Department of Industrial Relations. Data were obtained from these reports, structured telephone interviews, medical records, and two standardized instruments--the Safety Climate Measure for Construction Sites and the Job Content Questionnaire. Two measures of injury severity were used--the Injury Severity Score and the disability section of the Health Assessment Questionnaire (HAQ) measuring functional limitations. There were 518 injuries reported including 61 extremity fractures, and four head injuries with five skull and facial fractures. Thirty-two individuals were hospitalized, and 41 required surgery. Seventeen participants (8%) were deemed permanently disabled and unable to continue working in construction. A simultaneous multiple regression model, using five independent variables, explained approximately 21% of the variance in HAQ scores. Independent variables making significant unique contributions to the variance in injury severity were height of fall, surface landed on, Safety Climate Measure score, and union status. Nonunion status and higher safety climate scores (i.e., indicating increased risk) were positively correlated with higher HAQ scores, as were greater heights and concrete surface. Higher scores on both injury severity measures were significantly and moderately associated with a greater number of days lost from work. There were no significant differences in means among the trades for either injury severity measure. These findings confirm that falls in construction workers are far too common, suggest that injury severity and permanent disability associated with falls is notable, and identify key target areas for intervention and prevention such as management commitment to safety, ongoing worker training, and hazard identification and control.

Item Type: Thesis (Doctoral)
Thesis advisor: Faucett, J A
Uncontrolled Keywords: safety climate; disability; population; residential; disabled; injury; industrial relations; safety; training; multiple regression; regression model; construction site; construction worker; interview
Index terms: safety climate, disabled, interview, multiple-regression, deviation, construction worker, disability, residential construction, prevention, falls, independent variable, variance, industrial relation, regression model, commitment, hazard identification, construction site, injury, questionnaire, multiple regression model, population
Subjects: practitioner, health risk and incident analysis, financial risk, demography, construction integration, financial and cost management, work location, sociology, health safety and environment, data collection methods, psychology, health conditions and diseases, statistical analysis, measurement and scaling
Topics: Business Strategy, Organizational Design, Cost Management, Health and Safety, Ethics, Urban Studies, Roles and Professions, Research Practice, Site Management
Descriptive scope: 4 PCEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here