Labour trafficking: Challenges and opportunities from an occupational health perspective

Enhancing detection of labor violations in the agricultural sector: A multilevel generalized linear regression model of H-2A violation counts

Agricultural workers are essential to the supply chain for our daily food, and yet, many face harmful work conditions, including garnished wages, and other labor violations. Workers on H-2A visas are particularly vulnerable due to the precarity of their immigration status being tied to their employer. Although worksite inspections are one mechanism to detect such violations, many labor violations affecting agricultural workers go undetected due to limited inspection resources. In this study, we identify multiple state and industry level factors that correlate with H-2A violations identified by the U.S. Department of Labor's Wage and Hour Division using a multilevel zero-inflated negative binomial model. We find that three state-level factors (average farm acreage size, the number of agricultural establishments with less than 20 employees, and higher poverty rates) are correlated with H-2A violations. These findings offer valuable insights into where H-2A violations are being detected at the state and industry levels.

Prevalence estimates of trafficking in persons using statistical definitions: a cross-sectional high-risk community survey in Cape Town, South Africa

OBJECTIVES

Current research on trafficking in persons (TIP) relies heavily on legal and prosecutorial definitions. A public health approach has called for population-level assessment; however, identification of TIP victims lacks a standardised operational definition. This study applied the Prevalence Reduction Innovation Forum (PRIF) statistical definitions, developed by the US Department of State, to a community survey in Cape Town, South Africa.

DESIGNS

A high-risk sampling strategy was used. TIP screening questions from two instruments were matched with PRIF domain indicators to generate prevalence estimates. Sensitivity, specificity and receiver operating characteristics analyses were conducted to assess the performance of the two screeners.

SETTING

Cross-sectional survey conducted in Cape Town, South Africa, from January to October 2021.

PARTICIPANTS

South Africans and immigrants from other nations residing in Cape Town and its surrounding areas, aged 18 or older, who met the study inclusion criteria for a set of experiences that were identified as TIP risk factors.

PRIMARY AND SECONDARY OUTCOME MEASURES

Primary outcome measures were PRIF lifetime and past 12-month TIP positivity. Secondary outcome measures included individual and summary measures from the two screeners.

RESULTS

Our PRIF algorithm yielded a TIP lifetime prevalence rate of 17.0% and past 12-month rate of 2.9%. Summary measures from each TIP screener showed an excellent range of predictive utility. The summary screener measures yielded statistically significant differences among some demographic and background categories. Several screener items were shown less predictive of the PRIF statistical definition criteria than others.

CONCLUSIONS

Prevalence estimates of probable TIP were higher than those reported elsewhere. Our TIP screeners yielded an excellent range of predictive utility for the statistical definitions, promising the potential for wider applications in global and regional TIP research and policymaking. A more systematic sampling strategy is needed even if statistical definitions become widely used.

Building a better understanding of labour exploitation's impact on migrant health: An operational framework

Background

There is limited evidence on labour exploitation’s impact on migrant health. This population is, however, often employed in manual low-skilled jobs known for poor labour conditions and exploitation risks. The lack of a common conceptualisation of labour exploitation in health research impedes the development of research measuring its effects on migrant health and, ultimately, our understanding of migrants’ health needs.

Aim

To develop an operational conceptual framework of labour exploitation focusing on migrant workers in manual low-skilled jobs.

Methods

Non-probabilistic sampling was used to recruit multidisciplinary experts on labour exploitation. An online Group Concept Mapping (GCM) was conducted. Experts: 1) generated statements describing the concept ‘labour exploitation’ focusing on migrants working in manual low-skilled jobs; 2) sorted generated statements into groups reflecting common themes; and 3) rated them according to their importance in characterising a situation as migrant labour exploitation. Multidimensional Scaling and Cluster Analysis were used to produce an operational framework detailing the concept content (dimensions, statements, and corresponding averaged rating).

Findings

Thirty-two experts sorted and rated 96 statements according to their relative importance (1 “relatively unimportant” to 5 “extremely important”). The operational framework consists of four key dimensions of migrant labour exploitation, distributed along a continuum of severity revealed by the rating: ‘Shelter and personal security’ (rating: 4.47); ‘Finance and migration’ (4.15); ‘Health and safety’ (3.96); and ‘Social and legal protection’ (3.71).

Conclusion

This study is the first to both generate an empirical operational framework of migrant labour exploitation, and demonstrate the existence of a "continuum from decent work to forced labour". The framework content can be operationalised to measure labour exploitation. It paves the way to better understand how different levels of exploitation affect migrant workers’ health for global policymakers, health researchers, and professionals working in the field of migrant exploitation.

White Paper: Recognizing Child Trafficking as a Critical Emerging Health Threat

Human trafficking is a pandemic human rights violation with an emerging paradigm shift that reframes an issue traditionally seen through a criminal justice lens to that of a public health crisis, particularly for children. Children and adolescents who are trafficked or are at risk for trafficking should receive evidence-based, trauma-informed, and culturally responsive care from trained health care providers (HCPs). The purpose of this article was to engage and equip pediatric HCPs to respond effectively to human trafficking in the clinical setting, improving health outcomes for affected and at-risk children. Pediatric HCPs are ideally positioned to intervene and advocate for children with health disparities and vulnerability to trafficking in a broad spectrum of care settings and to optimize equitable health outcomes.