| Literature DB >> 35206419 |
Virginia Gunn1,2,3, Bertina Kreshpaj1, Nuria Matilla-Santander1, Emilia F Vignola4, David H Wegman5,6, Christer Hogstedt1, Emily Q Ahonen7, Theo Bodin1,8, Cecilia Orellana1, Sherry Baron9, Carles Muntaner3,10,11, Patricia O'Campo2,10, Maria Albin1,8, Carin Håkansta1,12.
Abstract
The prevalence of precarious employment has increased in recent decades and aspects such as employment insecurity and income inadequacy have intensified during the COVID-19 pandemic. The purpose of this systematic review was to identify, appraise, and synthesise existing evidence pertaining to implemented initiatives addressing precarious employment that have evaluated and reported health and well-being outcomes. We used the PRISMA framework to guide this review and identified 11 relevant initiatives through searches in PubMed, Scopus, Web of Science, and three sources of grey literature. We found very few evaluated interventions addressing precarious employment and its impact on the health and well-being of workers globally. Ten out of 11 initiatives were not purposefully designed to address precarious employment in general, nor specific dimensions of it. Seven out of 11 initiatives evaluated outcomes related to the occupational health and safety of precariously employed workers and six out of 11 evaluated worker health and well-being outcomes. Most initiatives showed the potential to improve the health of workers, although the evaluation component was often described with less detail than the initiative itself. Given the heterogeneity of the 11 initiatives regarding study design, sample size, implementation, evaluation, economic and political contexts, and target population, we found insufficient evidence to compare outcomes across types of initiatives, generalize findings, or make specific recommendations for the adoption of initiatives.Entities:
Keywords: employment conditions; evaluation; health equity; implementation; informal employment; intervention; occupational health and safety; population health; precarious employment; worker health and well-being
Mesh:
Year: 2022 PMID: 35206419 PMCID: PMC8872425 DOI: 10.3390/ijerph19042232
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1The flow diagram of study identification, screening, and inclusion. 1. Editorial, commentary, discussion paper, review; 2. No clear initiative implemented; 3. Initiative designed to (i) Facilitate PE or increase exposure to PE; (ii) Improve workers’ health through individual behavioural change without a focus on PE; (iii) Improve work performance or health, safety, or well-being of workers with disabilities without a focus on PE; (iv) Eliminate or reduce workers’ exposure to unemployment; (v) Eliminate, reduce, or mitigate the effects of unemployment on health and well-being; or (vi) Promote workers’ return to work after illness or injury without addressing PE; 4. (i) Not evaluated formally or assessed using empirical data or (ii) The evaluation does not include a clear focus on the reduction of PE and/or on precarious workers and/or their families. 5. Duplicate. 6. Not in a language mentioned in the protocol. PE—precarious employment.
Characteristics of the included studies.
| Number of Studies Included | 11 | |
|---|---|---|
| Continents represented by the countries examined | Africa | 1 |
| Asia | 6 | |
| Europe | 3 | |
| Oceania | 1 | |
| Study design * | Qualitative studies | 5 |
| Randomized controlled trials | 1 | |
| Non-randomized controlled trials | 1 | |
| Quantitative descriptive studies | 3 | |
| Mixed methods studies | 1 | |
| Targeted economic sector (ISIC Rev 4) **, ° | Agriculture, Forestry, and Fishing | 3 |
| Manufacturing | 4 | |
| Construction | 2 | |
| Hotels and restaurants | 1 | |
| Transportation and storage | 1 | |
| Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 2 | |
| Not elsewhere classified | 1 | |
| All economic sectors | 2 | |
| Initiative being purposefully designed to address precarious employment | No | 10 |
| Yes | 1 | |
| Dimensions of PE potentially impacted ° | Employment insecurity | 4 |
| Lack of rights and protection in the employment relation | 5 | |
| Income inadequacy | 4 | |
| Health and well-being outcomes evaluated ° | Occupational health and safety | 7 |
| Worker and/or family health and well-being | 6 | |
| Quality appraisal rating *** | Low quality (0 to 2) | 1 |
| Medium quality (3 to 5) | 6 | |
| High quality (6 to 7) | 4 | |
* This categorization of study design uses the categories included in the Mixed Methods Appraisal Tool (MMAT), 2018 version. ** https://ilostat.ilo.org/resources/concepts-and-definitions/classification-economic-activities/ (accessed on 15 December 2021); ° The sum could be more than 11 given that several studies targeted several economic sectors, evaluated several outcomes, and could have impacted several PE dimensions. *** Quality appraisal rating interpretation: To calculate the rating, we used the number of ‘Yes’ responses to the quality assessment questions included in the MMAT 2018 version, including the two screening questions; Low quality (0–2 ‘Yes’ answers), Medium quality (3–5 ‘Yes’ answers), and High quality (6–7 ‘Yes’ answers).
Countries examined, type of evidence, study design, targeted economic sector, population sub-groups, and study objectives.
| Study Author(s) | Countries Examined | Type of Evidence | Study Design | Study Objectives | |
|---|---|---|---|---|---|
| Davies R., | Zimbabwe | ILO institutional report | Qualitative study | To examine the impact of international labelling standards adopted by the flower-growing farmers in Zimbabwe on employment, income, and working conditions. | |
| Manothum, A. et al., 2010 | Thailand | Academic journal article | Qualitative study | To evaluate the outcomes of a participatory approach used to promote OHS, based on informal sector workers’ (a) knowledge, attitudes, and behaviours in OHS, (b) work practice improvements, and (c) working conditions improvements. | |
| Salvatori, A., 2010 | 13 OECD countries: | Academic journal article | Quantitative descriptive study | To study the effects of employment protection legislation adopted for permanent workers and of restrictions on the use of temporary employment on individual workers’ wellbeing. | |
| Kawakami, T. et al., 2011 | Cambodia | Academic journal article | Qualitative study | To examine the impact of a participatory approach and use of participatory training methodologies on safety and health in informal workplaces. | |
| Vermeulen, S.J. et al., 2011 | Netherlands | Academic journal article | Randomized controlled trial | To evaluate the effectiveness of a participatory return-to-work program to facilitate work resumption and reduce work disability for unemployed workers and temporary agency workers, who are off on sick leave due to musculoskeletal disorders. | |
| Bowman, J.R et al., 2014 | Sweden | Academic journal article | Qualitative study | To describe the impact of a governmental tax policy that subsidizes the hiring of domestic cleaning workers on the creation of better working conditions for them. | |
| Brown, D. et al., 2014 | Vietnam | Book chapter | Quantitative descriptive study | To conduct a preliminary assessment of the impact of the Better Work Vietnam program on compliance with national and international labour regulations and on factory and worker well-being. Given its focus on compliance and the use of non-primary evidence, the evaluation of the Better Factories Cambodia program, also included in this chapter, is not part of our analysis. | |
| Orchiston, A., 2016 | Australia | Academic journal article | Qualitative study | To study the relationship between sex workers’ working conditions and two regulatory models governing sex work (decriminalisation and licencing). | |
| Rothboeck, S. et al., 2018 | India | Academic journal article | Mixed methods | To examine the impact of the ‘Recognition of Prior Learning’ initiative on income opportunities, occupational safety, social status, and openness to further learning. | |
| Khan, J.A.M. et al., 2020 | Bangladesh | Academic journal article | Non-randomized study (Quasi-experimental) | To estimate the effect of a community-based health insurance scheme on the magnitude of out-of-pocket healthcare payments made by informal workers and their dependents for health services. | |
| Si, W., 2021 | China | Academic journal article | Quantitative descriptive study | To estimate the effects of a national public health insurance program on health and on various labour market outcomes such as long-term and limited duration employment, and self-employment. |
The blue colour is used to denote the targeted economic sector.
Figure 2Global distribution of countries—22 countries across 11 studies.
Description of initiatives, ways in which they could impact PE, and design and data collection approaches used to evaluate them.
| Study Author(s) | Implemented Initiatives | Initiative Level | Design and Data Collection Approaches Used to Evaluate Initiatives | |
|---|---|---|---|---|
| Davies, R., | Meso level | Field interviews and surveys conducted with 5 farmers and 34 workers at five farms that adopted labelling standards. Workers were asked to compare health and safety practices and job characteristics with those at previous farms they worked at that did not adapt the standards. Additional information collected from collective bargaining agreements, statistical data, and personal communication with experts in the field. | ||
| Manothum, A. et al., 2010 |
| Meso level | Evaluation of data collected before and after the implementation of the participatory process approach measuring: (1) knowledge, attitudes, and behaviours, using a questionnaire developed by the Department of Labor in Thailand; (2) work practice improvements, using an ILO-developed checklist; and (3) heat and lighting, using industrial hygiene instruments. | |
| Salvatori, A., 2010 | Meso level | Seven waves (1994–2001) of the European Community Household Panel used to collect data on a subjective measure of well-being (job satisfaction) from a large sample of temporary and permanent employees in 13 OECD countries. The exposure variable, employment legislation, measured with two OECD aggregated indicators, an employment protection legislation index and an index assessing restrictions on the use of temporary employment. The outcome of interest measured for both permanent and temporary workers and compared across 13 countries and 7 years, taking advantage of between country and yearly variation in employment protection legislation. | ||
| Kawakami, T. et al., 2011 | A |
| Micro level | Workplace visits conducted to collect process and outcome indicators such as number of people trained, types of training tools developed, and types of improvements implemented after the adoption of the initiative. |
| Vermeulen, S.J. et al., 2011 | A |
| Micro level | Sick-listed workers were randomly allocated to the participatory return-to-work program or to usual care, consisting of supportive income and rehabilitation support and guidance. Data were collected from a social security agency database and self-report questionnaires completed by workers. Outcomes were measured at baseline, 3, 6, 9 and 12 months. Duration of sickness benefit was defined as the length of time from random allocation to the program until stopping the sickness benefit for at least 28 days. Functional status and general health were assessed through the MOS 36-item short-form health survey (SF-36). Musculoskeletal pain intensity was evaluated using the Von Korff questionnaire. |
| Bowman, J.R et al., 2014 | Adoption of a | Macro level | Semi-structured interviews conducted with cleaning workers’ union leaders, employer organizations, a labour union and an advocacy organization representing undocumented workers, employers and employees from a large cleaning firm, journalists, and party politicians to assess perceptions about the job conditions of domestic service sector cleaners after the introduction of the tax policy as compared with their conditions before. | |
| Brown, D. et al., 2014 | The adoption of | Meso level | Pre- and post- implementation data on worker demographics, employment and working conditions (wages, relationship with management, communication), and factory level information regarding program adoption collected through worker surveys. The exposure measures used were length of time since the formation of the performance improvement working committee and length of time since the first assessment visit by official monitors. | |
| Orchiston, A., 2016 | Macro level | 30 semi-structured interviews with individuals involved in the sex industry (sex workers, brothel managers, key professionals) to evaluate perceptions on brothel sector working conditions and workplace rights, labour practices, and assess various indicators of employment precariousness. Interview data triangulated through content analysis of 54 weblogs. Document analysis of written contracts, codes of conduct, internal communication and signage also performed. Outcomes compared and contrasted across the two legal frameworks reviewed. | ||
| Rothboeck, S. et al., 2018 | A | Meso level | A baseline survey, two sets of follow-up surveys, field visits, and focus discussion groups conducted to assess the design and implementation of the four pilots and their impact on the targeted workers. In total, 3150 individuals recruited. The assessment of worker outcomes before and after (6 and 18 months, respectively) implementation of the pilots. | |
| Khan, J.A.M. et al., 2020 | A | Meso level | Structured face-to-face interviews administered to 1292 households (646 insured and 646 uninsured) to estimate differences in out-of-pocket healthcare payments between insured and non-insured households in the 3 months before the survey. Out-of-pocket payments consisted of medical fees, charges for public hospital care, co-payments for health insurance, and the costs for medicine purchases, medical appliances, and diagnostic tests. | |
| Si, W., 2021 | A | Macro level | Panel data from the China Health and Nutrition Survey, the 2004, 2006, 2009, and 2011 waves used to assess enrolment rates of working age individuals in the national health insurance program, along with several employment mobility indicators. A comparison of indicators across cities that adopted and those that did not yet adopt the program was performed, facilitated by a gradual implementation of the program within the country. |
The green colour is used to indicate if the initiatives described were purposefully designed to address precarious employment. The purple colour is used to indicate the ways in which the initiative could impact PE.
Brief description of initiatives, health and well-being outcomes, and PE outcomes evaluated.
| Study Author(s) | Implemented Initiative | Health and Well-Being Outcomes Evaluated | PE Outcomes Evaluated | Quality Appraisal Rating * |
|---|---|---|---|---|
| Davies, R., 2000 | Flower-growing farmers’ adoption of international standards regulating flower quality and producing methods. | High | ||
| Manothum, A. et al., 2010 | The adoption of a participatory process to involve informal workers in addressing and solving occupational health and safety risks. | No PE outcomes evaluated. | High | |
| Salvatori, A., 2010 | Adoption of employment protection legislation. | The initiative addressed PE, but no PE outcomes were evaluated. | Medium | |
| Kawakami, T. et al., 2011 | A participatory health and safety training program. | No PE outcomes evaluated. | Medium | |
| Vermeulen, S.J. et al., 2011 | A participatory return-to-work program to facilitate work resumption and reduce work disability, among unemployed workers and temporary agency workers. | No PE outcomes evaluated. | High | |
| Bowman, J.R et al., 2014 | Adoption of a tax policy that provides a tax break to households that hire domestic cleaning workers. | Low | ||
| Brown, D. et al., 2014 | The adoption of Better Work Vietnam program, aimed at improving employment and working conditions in the in the apparel business. | Medium | ||
| Orchiston, A., | Adoption of regulatory frameworks, either decriminalisation or licencing, to govern sex work. | Medium | ||
| Rothboeck, S. et al., 2018 | An initiative to recognize workers’ prior informal learning. | Medium | ||
| Khan, J.A.M. et al., 2020 | A pilot community-based health insurance scheme. | High | ||
| Si, W., 2021 | A voluntary national public health insurance program. | Medium |
* Quality appraisal rating interpretation: To calculate the rating, we used the number of ‘Yes’ responses to the quality assessment questions included in the MMAT 2018 version, including the two screening questions. Low quality (0–2 ‘Yes’ answers), Medium quality (3–5 ‘Yes’ answers), and High quality (6–7 ‘Yes’ answers).
Common macro- and meso-level barriers and facilitators to the successful implementation of initiatives.
| Barriers | |
|---|---|
| Macro | The extent of the informal economy and the large number of informal workers in some countries are difficult to tackle unless structural, high-level solutions are considered [ |
| Market forces sustaining demand for an informal economy and informal workers make it difficult to reduce the informal economy [ | |
| Lack of national standards to regulate certain employment and working conditions, lack of enforcement of such standards, and lack of local inspectorates to perform inspections when international standards are adopted [ | |
| Low, seasonal, and inconsistent enrolment in large health insurance schemes affects their viability [ | |
|
| Low density of unions and other forms of organized labour movements within some industries [ |
| Inadequate or insufficient resources to enforce labour standards within organizations [ | |
| Low compliance with minimum labour standards and occupational health and safety requirements in less regulated industries strongly influenced by market forces [ | |
| Difficulties encountered with the piloting of initiatives due to insufficient knowledge about their nature and reluctance by both employers and workers to participate [ | |
| Lack of accurate baseline data [ | |
| Acknowledging and/or addressing only some of the identified problems affecting workers [ | |
| Stigma associated with certain industries (e.g., sex work) prevents workers from filing complaints or making use of legal processes to help them challenge situations in which their rights are not met [ | |
|
| |
| Macro | General government support [ |
| The regulation and enforcement of core labour standards at the national level [ | |
| Collaboration between government, governmental ministries, employers and workers organizations, NGOs [ | |
| Inclusion of informal economy workplaces in the national occupational health and safety agenda [ | |
| Meso | The adoption of a safety culture by organizations [ |
| Public disclosure of monitoring results and public pressure by consumers and investors to improve employment and working conditions [ | |
| Efforts to support implementation of initiatives [ | |
| Involvement of local stakeholders [ | |
| Learning from and building on successful strategies already tested locally (by other employers and workers) [ | |
| Participative approaches involving all workers [ | |
| Existing preoccupation of employers with improving employment and working conditions even before the implementation of related initiatives [ | |
| Involving competent and independent professionals in occupational health and safety initiatives [ | |
| The use of human networks to reach informal workers who are typically not easily accessed by government organizations because of their informality [ | |
| The use of existing networks of worker cooperatives, the offering of complementary non-health benefits, and the contracting of high-quality health services and professionals [ |
Risk of bias assessment of included studies using the Mixed Methods Appraisal Tool (MMAT).
| Study Author(s) | Screening Questions | 1. Qualitative Studies | |||||
|---|---|---|---|---|---|---|---|
| S1. Are there clear research questions? | S2. Do the collected data allow to address the research questions? | 1.1. Is the qualitative approach appropriate to answer the research question? | 1.2. Are the qualitative data collection methods adequate to address the research question? | 1.3. Are the findings adequately derived from the data? | 1.4. Is the interpretation of results sufficiently substantiated by data? | 1.5. Is there coherence between qualitative data sources, collection, analysis and interpretation? | |
| Davies, R., 2000 [ | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Manothum, A. et al., 2010 [ | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Kawakami, T. et al., 2011 [ | Yes | Yes | Yes | Yes | Can’t tell | Can’t tell | Can’t tell |
| Bowman, J.R et al., 2014 [ | No | Can’t tell | No | Can’t tell | No | No | No |
| Orchiston, A., 2016 [ | Yes | Yes | Yes | Yes | Yes | Can’t tell | Can’t tell |
|
|
| ||||||
| S1. Are there clear research questions? | S2. Do the collected data allow to address the research questions? | 2.1. Is randomization appropriately performed? | 2.2. Are the groups comparable at baseline? | 2.3. Are there complete outcome data? | 2.4. Are outcome assessors blinded to the intervention provided? | 2.5 Did the participants adhere to the assigned intervention? | |
| Vermeulen, S.J. et al., 2011 [ | Yes | Yes | Yes | Yes | Yes | No | Yes |
|
|
| ||||||
| S1. Are there clear research questions? | S2. Do the collected data allow to address the research questions? | 3.1. Are the participants representative of the target population? | 3.2. Are measurements appropriate regarding both the outcome and intervention (or exposure)? | 3.3. Are there complete outcome data? | 3.4. Are the confounders accounted for in the design and analysis? | 3.5. During the study period, is the intervention administered (or exposure occurred) as intended? | |
| Khan, J.A.M. et al., 2020 [ | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
|
|
| ||||||
| S1. Are there clear research questions? | S2. Do the collected data allow to address the research questions? | 4.1. Is the sampling strategy relevant to address the research question? | 4.2. Is the sample representative of the target population? | 4.3. Are the measurements appropriate? | 4.4. Is the risk of nonresponse bias low? | 4.5. Is the statistical analysis appropriate to answer the research question? | |
| Salvatori, A., 2010 [ | Yes | No | Yes | Yes | No | Can’t tell | No |
| Brown, D. et al., 2014 [ | Yes | No | Yes | Yes | No | Can’t tell | No |
| Si, W., 2021 [ | Yes | Yes | Yes | Yes | Can’t tell | No | Yes |
|
|
| ||||||
| S1. Are there clear research questions? | S2. Do the collected data allow to address the research questions? | 5.1. Is there an adequate rationale for using a mixed methods design to address the research question? | 5.2. Are the different components of the study effectively integrated to answer the research question? | 5.3. Are the outputs of the integration of qualitative and quantitative components adequately interpreted? | 5.4. Are divergences and inconsistencies between quantitative and qualitative results adequately addressed? | 5.5. Do the different components of the study adhere to the quality criteria of each tradition of the methods involved? | |
| Rothboeck, S. et al., 2018 [ | Yes | Yes | No | Yes | Yes | No | No |
This table uses the same categories and format of the MMAT tool [63]. The 11 studies are grouped into five categories according to study design: Qualitative studies ×5, Randomized controlled trials ×1, Non-randomized studies ×1, Quantitative descriptive studies ×3, and Mixed methods studies ×1. The quality assessment questions are slightly different for each study design but have the same answer options: Yes, No, and Can’t tell.