key: cord-0802926-m08plgxq
authors: Evagora-Campbell, Mireille; Zahidie, Aysha; Buse, Kent; Rabbani, Fauziah; Hawkes, Sarah
title: Promoting labour migrant health equity through action on the structural determinants: A systematic review()
date: 2022-02-01
journal: J Migr Health
DOI: 10.1016/j.jmh.2022.100082
sha: b628848096b145261c413ebaa42de417d3dd5ec3
doc_id: 802926
cord_uid: m08plgxq

BACKGROUND: Labour migrants, who represent over sixty per cent of international migrants globally, frequently have poorer health status than the population of host countries. These health inequities are determined in a large part by structural drivers including political, commercial, economic, normative and social factors, including living and working conditions. Achieving health equity for migrant workers requires structural-level interventions to address these determinants. METHODS: We undertook a systematic review of peer-reviewed literature designed to answer the question “what is the evidence for the effectiveness of interventions to address the structural determinants of health for labour migrants?” using the Ovid Medline electronic database. FINDINGS: We found only two papers that evaluated structural interventions to improve the health of labour migrants. Both papers evaluated the impact of insurance – health or social. In contrast, we found 19 evaluations of more proximal, small-scale interventions focused on changing the knowledge, attitudes and behaviours of labour migrants. INTERPRETATION: Despite the rise in international migration, including for work, and evidence that labour migrants have some higher health risks, there is a paucity of research addressing the structural determinants of health inequities in labour migrants. The research community (including funders and academic institutions) needs to pay greater attention to the structural determinants of health – which generally requires working across disciplines and sectors and thinking more politically about health and health inequities. FUNDING: Wellcome Trust (208712/Z/17/Z).

Labour migrants represent over 60% of the 277 million international migrants globally 1 whose lives are shaped by a range of structural and social factors that can lead to substantial health inequities compared with non-migrant populations. This paper adopts the ILO understanding of international labour migrants as "… all international migrants who are currently employed or unemployed and seeking employment in their present country of residence " ( International Labour Organization 2017 , International Labour Organization 2015 . According to re- Workers, 2011 (No. 189) .

10/32 of employment opportunities in home (often called 'sending') countries, reinforce a system of structural discrimination that leads to social inequalities and health inequities ( Syed, 2016 ) . However, the health concerns of this population are inadequately appreciated or understood and generally lacking attention in global public health research and response. A 2018 bibliometric analysis found that migrant workers were the focus of just 6.2% of published research on the health of migrants ( Sweileh et al., 2018 ) , which tends to be concentrated on high-income countries that receive migrants, rather than low-and middle-income countries ( Wickramage et al., 2019 ) . International organisations working to improve the health of migrants have tended to treat the domains of health and work separately, focusing either on infectious diseases and access to healthcare or on occupational health and safety, without recognising the important intersection between the two ( Flynn and Wickramage, 2017 ) .

The health of labour migrants, like that of everyone, is determined by a range of societal drivers including those that are political, commercial, economic, environmental, normative, social and structural in nature. In this paper we focus on 'upstream' structural determinants 2 which we consider to encompass both the social conditions in which people are born, grow, live, work, and age as well as the economic, commercial, legal and social policies, structures and institutions which drive these social conditions. Structural determinants, amongst which both migration and employment are key ( Flynn and Wickramage, 2017 ) , account for much of the health inequity between people and populations ( Marmot et al., 2008 ) . At the individual level, differences in social characteristics including age ( Shao et al., 2016 ) , class ( O. Jubany and Castellanos, 2021 ) , education attainment level ( Peng et al., 2010 ) , gender ( O. Jubany and Castellanos, 2021 ) , gender identity ( Roche and Keith, 2014 ) , income ( Shao et al., 2016 ) , marital status ( Shao et al., 2016 ) , migration status ( International Labour Office 2010 ) and race ( O. Jubany and Castellanos, 2021 ) have also been found to play a role in shaping migrant workers' health outcomes.

Studies in several regions have documented the 'healthy migrant effect', or the better health status of migrants compared with the population of their origin country or the non-migrant population of the destination country ( Helgesson et al., 2019 ) . However, there are many dimensions of health where migrant workers may be at higher risks of ill-health due to social and structural inequalities. In many cases there is a shortage of empirical evidence on the health outcomes of migrant workers that has hindered our understanding of their health status and health needs -and may have undermined the ability to identify and implement appropriate national and international policy responses ( Hargreaves et al., 2019 ) .

Over a third of migrant workers are employed in industry (27%)including manufacturing, construction, mining and quarrying -or agriculture (7%) ( International Labour Organization 2021 ). Both sectors often involve long hours, hard physical labour and hazardous working conditions that increase the risk of occupational morbidities and accidents ( International Organization for Migration 2021 , Schenker, 2010 ) . A 2019 systematic review and meta-analysis found that, amongst 7260 international migrant workers, 47% were estimated to have experienced at least one occupational morbidity and, amongst 3890, 22% had experienced a workplace injury or accident ( Hargreaves et al., 2019 ) . Male migrant workers are significantly more likely than female migrant workers to work in industry and agriculture ( International Labour Organization 2021 ). A 2011 study of male migrant construction workers in India found that roughly 8% of the workers reported injury whilst at work ( Laad et al., 2011 ) -with 'unskilled' workers significantly more likely to have poorer morbidity status than 'skilled' workers. In Singapore, fear of losing pay or being laid off was found to be a key reason that 15% of male migrant (mostly shipyard) workers intended to continue to work despite having a work-related injury ( W. Lee et al., 2014 ) .

As a result of prevailing gender norms and discrimination, women migrant workers, who represent 73% of all migrant domestic workers ( United Nations General Assembly, 2019 ) -whose work is "performed in or for a household or households " ( International Labour Organization, 2011 ) -may face heightened exposure to violence, exploitation and abuse in the workplace compared to male migrant workers ( United Nations General Assembly, 2019 ). A 2014 study of 33 female migrant domestic workers who had been admitted to hospital in Lebanon found that 50% reported verbal abuse, roughly 38% physical abuse, and roughly 13% sexual assault -most of which was reportedly inflicted by employers ( Zahreddine et al., 2014 ) . In some countries, female workers are subject to pregnancy screening and to deportation if found to be pregnant ( T. Loganathan et al., 2020 ) . Limited access to sexual and reproductive health services -including due to fees for non-residents and those without medical insurance -( E. King and Dudina, 2019 ) fear of detention or deportation when seeking services ( United Nations General Assembly, 2019 ), and an absence of linguistically and culturally appropriate health providers ( International Organization for Migration, 2018 ) -particularly affect female migrant workers in some settings ( E. King and Dudina, 2019 ) .

Migrant workers may face elevated risk of communicable diseases due to social and work conditions ( Guadagno, 2021 ) . For example, the disproportionate number of COVID-19 cases and deaths documented amongst migrants ( Hayward et al., 2021 , Migration data portal 2021 may be a result of the high proportion of migrant workers in sectors with high exposure to COVID-19: more than 13% of all services and sales workers in seven of the twenty countries with the highest number of COVID-19 cases were foreign-born ( Migration data portal 2021 ) and or conditions or marginali * or environment or disadvantage * inequalit * or disparit * or equalit * or equit * or inequit * )).ti,ab,kf.

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• exp Animals/ not Humans on average, 13% of all 'key workers' in the European Union (EU) are immigrants ( Fasani and Mazza, 2020 ) . Despite improvements in international frameworks to protect and promote the rights of migrant workers since the Second World War, when there was an increase in migration within and from Europe ( International Labour Office 2016 ) (see Table 1 ), the rights of labour migrants remain an issue of low priority on international human rights and development agendas. By October 2019, instruments designed to protect refugees or to combat people smuggling and human trafficking had been ratified by more than three quarters of UN Member States; in contrast, instruments protecting the rights of migrant workers had been ratified by fewer than 30% ( International Labour Office 2016 ). Ratification of four key labour migration conventions remains low, particularly amongst high-income countries, which house the majority of labour migrants ( Table 1 ) ( International Labour Organization 2021 ). Infringements of internationally agreed protections for migrant workers in some countries persist, including being barred from joining trade unions or changing employer ( Council on Foreign Relations 2021 ) and being excluded from some health services ( T. Loganathan et al., 2020 ) .

From the start of his tenure, United Nations (UN) Secretary-General Antonio Guterres made regular migration a stated priority and in December 2018 the Global Compact for Safe, Orderly and Regular Migration, which contains commitments to migrants' access to health, was endorsed by a large majority of UN Member States ( United Nations 2018 ) which collectively hosted around 67% (181 million) of international migrants globally in 2019 ( T. Loganathan et al., 2020 ) .

Despite these potential enablers of increased multilateral engagement on health equity for migrant workers, a focus on the structural determinants of health is seldom applied to migrant populations ( Castañeda et al., 2015 ) . Moreover, despite evidence that migrant workers are at risk of poor health outcomes on account of the environments in which they live and work, there is limited literature examining the structural determinants of health of this population Wickramage, 2017 , Castañeda et al., 2015 ) .

The aim of this study is to examine the extent to which measures to address structural determinants as a means of improving labour migrant health are recognised, understood, evaluated and attended to in public health research.

We undertook a systematic review to answer the question "what is the evidence for the effectiveness of interventions to address the structural determinants of health for labour migrants? ". We searched the Ovid Medline electronic database for articles published in English at any date before July 2021, supplemented through hand-searching of references from included studies. Search terms are outlined in Table 2 .

Articles were screened to identify those papers that met the following objectives:

1 Population: Article evaluates interventions relating to male or female, internal or external labour migrants. 3 2 Intervention: Article evaluates interventions to improve health outcomes that target structural determinants of ill-health. 4 3 Control: Article may or may not use a control group to evaluate the effectiveness of the intervention. 4 Outcome: Article evaluates the effectiveness of the intervention at improving health outcomes. 5 5 Article is published in English. We used a standardised data extraction form, based on Population, Intervention, Comparison, Outcome (PICO) criteria ( Schardt et al., 2007 ) , to collect and collate data. Data was systematically extracted on: author(s); publication year; country in which the study was performed; target population; sex of targeted population; evaluated intervention; health area targeted; comparison group (if applicable); observed outcome of intervention. Titles and abstracts were screened and analysed independently by two reviewers; analysis of the final set of full papers was conducted by the same two reviewers, and any discrepancies were resolved by a third reviewer.

Our initial screening identified 981 papers and, after exclusion of duplicates, we reviewed the abstracts of forty-six and the full text of twenty-seven papers -see Fig. 1 . After application of our inclusion and exclusion criteria we identified two papers that evaluated structural determinants but an additional 19 papers addressing proximal determinants -i.e. interventions seeking to impact at the level of the knowledge, attitudes and behaviours of labour migrants, either individually or in groups. Two of these studies ( Rodriguez et al., 2018 , Qian et al., 2007 additionally sought to influence the behaviours of health care practitioners serving labour migrants.

Given the small number of papers meeting our inclusion criteria (i.e. 2 papers) we took the decision to also review the 19 papers that evaluated proximal interventions. For both sets of papers we used descriptive analytical methods only. 

We identified two studies evaluating interventions to address structural determinants both focused on financial interventions: health insurance and social insurance. Both reported on male and female internal migrants (i.e. Chinese workers, across a range of income categories, moving from rural to urban areas for work). The health insurance study ( Zhang et al., 2020 ) compared migrants with insurance and those without and found that medical insurance: (i) significantly increased the likelihood that migrant workers would use health services; (ii) significantly decreased poor health outcomes; and (iii) "can statistically significantly improve the probability of migrant workers' preventive medical service utilization ". The study further noted that women migrants were more likely to seek medical care and incur medical expenditures. The study on social insurance ( Guan, 2019 ) compared self-rated health status amongst migrants with three kinds of insurance -unemployment, pension and workplace injury -against health status amongst uninsured migrants. All three types of social insurance were associated with higher levels of self-reported health status (i.e. higher likelihood of self-assessed health to be classified as "excellent " or "good "), although the effect was mediated by the presence of health insurance -see Table 3 .

Amongst the 19 studies focused on proximal determinants, the population of focus was farmworkers (six studies), factory workers (5 studies), construction workers (three studies), and sex-or entertainmentworkers (two studies). Three studies were not limited to a particular occupation. Seven of the studies were conducted in China, six in the USA and one in each of India, Indonesia and South Australia, Korea, Mexico and Guatemala, Singapore and Qatar. Of twelve studies that were targeted at a specific sex, eight were focused on female migrant workers, and four focused on males.

The majority of interventions evaluated by the studies were addressing sexual and reproductive health (10 studies) followed by occupational health and safety (4 studies), non-communicable diseases (4 studies) and hygiene (1 study).

Eighteen of the 19 studies used group-level interventions such as group counselling, peer-supported learning and educational programmes delivered to groups (e.g. through lectures or the use of audiovisual methods). One study ( Suratman et al., 2016 ) examined an educational intervention which was delivered one-to-one. Nine interventions ( Rodriguez et al., 2018 , Qian et al., 2007 , Chai et al., 2018 , He et al., 2012 , Hussain et al., 2020 , Yang et al., 2017 , Zhu et al., 2013 , Zhu et al., 2014 , Ning et al., 2013 supplemented group-level knowledge/awareness-raising with the distribution of educational materials such as leaflets and four studies ( Qian et al., 2007 , He et al., 2012 , Zhu et al., 2014 , Lim et al., 2018 also provided health products and services such as contraceptives or sexually transmitted infection (STI) screening and treatment services. Nine studies ( Guan, 2019 , Chai et al., 2018 , Yang et al., 2017 , Zhu et al., 2014 , Lim et al., 2018 , Mitchell et al., 2015 , Vela Acosta et al., 2005 , Hovey et al., 2007 , Kilanowski and Lin, 2013 compared outcomes amongst an intervention group and a non-intervention group. Five studies ( He et al., 2012 , Hussain et al., 2020 , H. Lee et al., 2014 , Ning et al., 2013 , Shehadeh et al., 2018 compared outcomes of different interventions implemented amongst different groups of the study population. In four studies ( Rodriguez et al., 2018 , Ning et al., 2013 , Kannappan and Shanmugam, 2019 , Suratman et al., 2016 the comparison consisted of pre-and post-intervention measurements amongst the study population. One study ( Febres-Cordero et al., 2018 ) used qualitative methods alone for assessing the impact of the intervention on HIV/STI prevention.

Of the 18 studies that reported quantitatively, all found the examined intervention(s) to have a statistically significant impact in at least one outcome measure, i.e. knowledge, attitudes, behaviours and/or health status indicator. The two studies which included interventions with health workers ( Rodriguez et al., 2018 , Qian et al., 2007 , also showed a significant impact on levels of health knowledge amongst migrants, and also practice (increase in breast cancer awareness ( Rodriguez et al., 2018 , Qian et al., 2007 and contraceptive use ( Qian et al., 2007 ) ) -see Table 4 .

Studies were not consistently reporting results disaggregated by socio-demographic variables. Three studies ( Rodriguez et al., 2018 , He et al., 2012 , Febres-Cordero et al., 2018 contained recognition of gender as a determinant of health and, amongst the twelve studies in our sample that focused on a particular sex/gender in the population, four ( He et al., 2012 , Hussain et al., 2020 , Ning et al., 2013 , Suratman et al., 2016 examined interventions targeting male migrant workers. Seven of the twenty-one studies ( Rodriguez et al., 2018 , Zhang et al., 2020 , Guan, 2019 , Chai et al., 2018 , Yang et al., 2017 , Zhu et al., 2013 , Ning et al., 2013 disaggregated their findings by a demographic characteristic other than sex: six examined the role of age ( Zhang et al., 2020 , Guan, 2019 , Chai et al., 2018 , Yang et al., 2017 , Zhu et al., 2013 , Ning et al., 2013 , six education ( Rodriguez et al., 2018 , Zhang et al., 2020 , Chai et al., 2018 , Yang et al., 2017 , Zhu et al., 2013 , Ning et al., 2013 , and four marital status ( Guan, 2019 , Chai et al., 2018 , Yang et al., 2017 , Zhu et al., 2013 . Just two articles ( Zhang et al., 2020 , Chai et al., 2018 measured the impact of income-level on health outcomes and one each examined country of origin ( Rodriguez et al., 2018 ) , disability ( Guan, 2019 ) , ethnicity ( Ning et al., 2013 ) , native language ( Rodriguez et al., 2018 ) or religion ( Ning et al., 2013 ) -see Table 3 .

Labour migrants are seen by both sending and host countries as essential contributors to a globalised capitalist economy -with many highincome countries reliant on the import of labour for key functions in society and sending countries (or at least certain sections of societies) propped up by remittances. Yet inequities in their health outcomes, compared to host populations, highlight the health risks of this population. Many of these health inequities are driven by upstream structural and social determinants that place labour migrants, like many other types of migrant, in a position of vulnerability and marginalisation with respect to their legal status, living and working conditions, and power and status in host societies ( Egli-Gany et al., 2020 ) .

Addressing these structural determinants of health requires action by both governments and employers. Since these include determinants operating across the phases of the migration cycle -pre-departure, during travel, in the host community and upon return and reintegration ( International Organization for Migration 2018 ) -actors in both origin and destination countries hold responsibility.

Within public health there has been a renewed call to expand action on the social determinants of health. For example, at the World Health Assembly, in May 2021, a resolution was adopted calling on Member States to "strengthen their efforts on addressing the social, economic and environmental determinants of health " ( Seventy-Fourth World Health Assembly 2021 , Buse, 2021 ) . Despite such calls from the international community, coupled with commitments within the Global Compact ( United Nations 2018 ), the public health research community appears to have paid relatively little attention to evaluating interventions to address structural determinants of labour migrant health. Our review, the first we know of, finds little in the way of rigorous empirical evidence on social and structural interventions. Instead, the literature focuses heavily on interventions targeting individual-level behaviours. This is despite evidence suggesting that changes in individual knowledge, attitudes and behaviours designed to lead to better health outcomes are facilitated within supportive social and structural environments ( International Organization for Migration 2006 , Castañeda et al., 2015 , Flynn et al., 2015 , Hanley et al., 2020 .

The two papers from China targeting upstream determinants used insurance (health and social) as a means of improving access to health services and achieved significant improvements in health-care seeking as well as reported health status. In some settings, insurance schemes are now widely used to protect the health of migrants -including labour migrants. For example, in 2001 the Thai Ministry of Public Health introduced the migrant health insurance scheme for all migrants not covered by the national social health insurance scheme, to increase the affordability of public health facilities. These types of schemes can achieve high levels of population coverage. Between April and July 2016, almost 34% of the total estimated over 3400,000 migrant labourers in Thailand were enroled in the migrant health insurance scheme, a significant increase from less than 9% of who had been covered by the social health insurance scheme in 2011 ( Tangcharoensathien et al., 2017 ) .

In contrast, the individual or group-level interventions that comprised the majority of studies included in our review, although generally achieving a positive impact on measured outcomes (knowledge, attitudes, behaviour, individual health status), are less likely to reach a population at scale. Even when targeting at a proximal level, however, studies frequently did not take a more intersectional lens to understanding migrants and their health -data were presented with minimal disaggregation, thus reducing the capacity for analysis of the interaction of systems and structures of power and position and their impact on the lives of individuals.

The absence of rigorous evidence evaluating the impact of structural determinants on the health outcomes of labour migrants is a disappointing finding but may reflect a number of underlying challenges for research in this area. These include both the dearth of structural interventions to evaluate and well as difficulties accessing funding this type of research. In relation to the former, at least two considerations are at play. Firstly, despite research that has found that health is largely created outside the health sector ( World Health Organization 2008 ), political attention and resources for improving population health continue to be predominantly invested in health care services rather than in the structural drivers of health -meaning that opportunities for evaluation are more limited. It has been proposed that this might be the case because structural interventions "threat[en] the social and economic status quo " and hence those with the power and resources to influence health policy ( Newman et al., 2015 ) . Similarly, the absence of political action on structural determinants might result from the disjuncture in time-frames: these interventions often take longer than bio-medical interventions and certainly longer than a typical political cycle, hence performance indicators and outcome measures are operating with different timelines across the relevant communities ( Kelly et al., 2007 ) .

In relation to challenges of research in this area, there are further considerations. Firstly, it might be the case that the bio-medical paradigm and worldview that dominates the health sector may result in the under-prioritisation of structural interventions by the influential research funding community ( Kneipp et al., 2018 ) . Secondly, while relationships between social factors and health are well established ( Marmot and Wilkinson, 1999 ) ( Solar and Irwin, 2007 ) , the causal pathways linking the former with the latter are often long, complex and involving intervening factors ( Link and Phelan, 1995 ) , which can make establishing causal attribution of structural determinants on health outcomes challenging ( Braveman and Gottlieb, 2014 ) ( Kelly et al., 2007 ) . The hierarchy of methodologies used in health research ( Burns et al., 2011 ) may compound this as undertaking "high quality " research such as a randomised controlled trial (for example), would be highly unlikely in this field ( Bharmal et al., 2015 ) .

While this study adopted a wide definition of structural determinants, it focused on a narrow population of interest, limiting the review to evidence on labour migrants. We recognise that in some settings, including in countries where a large proportion of migrants are migrant workers, interventions targeting the migrant population in its entirety may be effective at addressing the structural determinants of migrant worker health ( Tangcharoensathien et al., 2017 ) .

It is beyond the scope of this review to comment on the state of implementation by countries of the policy interventions evaluated in the liter-ature. Development and implementation of national policies that align with the evidence base is dependent on the presence of formal and informal accountability mechanisms -including the adoption and ratification of international legally binding frameworks, non-binding multilateral agreements and an empowered migrant worker population that has adequate information on their rights and is engaged in policy-development processes.

Whilst our inclusion of a range of search terms and article types allowed us to work with a relatively large and diverse initial sample of results, the methodology would be strengthened by using a range of source databases, beyond Ovid Medline. Additionally, we only reviewed papers published in English, meaning that relevant literature published in other languages was excluded.

Our review of peer-reviewed literature on the effectiveness -i.e. health impact -of interventions addressing the structural determinants of the health of labour migrants has found little (2 papers) in the way of public health research. There is more evidence on proximal individual and group interventions targeting knowledge, attitudes and practice/behaviour. We believe this represents a significant gap in our understanding of what works to protect the health and reduce health inequities suffered by some of the most marginalised and least powerful people in the workforce. We therefore encourage the research community including funders and researchers as well as the people using evidence in policy and practice to collectively fill this evidence void. A collective approach to the co-production of knowledge, involving the collaboration of multiple and diverse stakeholder groups including the producers and users of knowledge, civil society, policy makers and policy influencers, is more likely to achieve knowledge uptake and utilisation ( Hawkes et al., 2016 ) . Moreover, such an approach is more likely to incorporate the lived experiences and views of the people whose interests and health status lie at the core of the issue -i.e. labour migrants.

In the context of global commitments to leave no one behind and achieve universal human rights, we cannot afford to let the health of labour migrants to be forgotten. Realising their rights will require understanding and addressing the structural determinants of health, beginning with building the evidence base for effective interventions.

None.

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