Tested or not? a categorical examination of HIV/AIDS testing among workers in the South African construction industry

Bowen, P; Govender, R; Edwards, P and Cattell, K (2015) Tested or not? a categorical examination of HIV/AIDS testing among workers in the South African construction industry. Journal of Construction Engineering and Management, 141(12): 04015040, ISSN 0733-9364

Abstract

HIV/AIDS voluntary counseling and antibody testing (VCT) is the cornerstone of HIV/AIDS prevention. Prevalence rates for the infection in the South African construction industry exceed those of most other sectors. Little is known about the testing status of different categories of construction workers. A field-administered questionnaire survey gathered data from 512 site-based construction employees in the Western Cape, South Africa. Bivariate tests of association and bivariate and multivariate binary logistic regression were used to explore demographic determinants of testing. The results indicate that (1) age, gender, employment type, and firm predict testing status, with older workers, females, permanent workers, and workers employed by firms with proactive intervention management more likely to have been tested than their counterparts; (2) education and race are not determinants of testing status; (3) workers aged 30 years and younger are the least likely to have been tested, particularly those 20 years and younger; (4) female construction workers are five times more likely to have been tested than males; (5) permanent employees are twice as likely to have been tested than temporary workers; and (6) workers employed by firms with comparatively more proactive HIV/AIDS intervention management are more likely to have been tested. This research identifies key variables that increase or decrease the probability of construction workers being tested at sites where VCT services are offered. Consequently, it confirms that the provision of VCT services is not in itself sufficient to address worker HIV incidence and prevalence rates. Rather, constructions firms need to be much more focused on the design of these services to ensure better targeting of subpopulations that are least likely to test. The identification of these key demographic variables highlights the value of shifting away from relatively standardized VCT services in the industry to those that are company- and perhaps even site-specific. This requires a degree of innovation in VCT services that not only is grounded in the construction sector but learns and adapts knowledge and practice from other sectors of society.

Item Type: Article
Uncontrolled Keywords: construction workers; hiv/aids; labor and personnel issues; predictive modeling; testing prevalence
Index terms: construction worker, construction industry, testing, prevention, determinant, employment, construction employee, logistic regression, intervention management, construction sector, South Africa, questionnaire, HIV/AIDS, demographic variable, survey, personnel, temporary worker, predictive modelling, society
Subjects: professional practice, prediction and forecasting, practitioner, data collection methods, risk assessment, communities and social development, industry analysis, statistical analysis, demography, health conditions and diseases, Geography, financial risk, management
Topics: Risk Management, Roles and Professions, Stakeholder Management, Cost Management, Health and Safety, Research Practice, Geographical Context, Engineering Principles, Urban Studies, Human Resources
Descriptive scope: 5 PCTEA

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