| Literature DB >> 28645965 |
Diana Gagliardi1, Bruna M Rondinone1, Marco Mirabile1, Giuliana Buresti1, Peter Ellwood2, Michel Hery3, Peter Paszkiewicz4, Antonio Valenti1, Sergio Iavicoli1.
Abstract
OBJECTIVES: This study, developed within the frame of the Partnership for European Research on Occupational Safety and Health joint research activities and based on the frame designed by the 2013 European Agency for Safety and Health at Work (EU-OSHA) study, is the first example of using the points of view of European occupational safety and health (OSH) researchers.The objective is to identify priorities for OSH research that may contribute to the achievement of present and future sustainable growth objectives set by the European strategies.Entities:
Keywords: European Agenda; OSH; PEROSH; delphi study; research priorities
Mesh:
Year: 2017 PMID: 28645965 PMCID: PMC5734473 DOI: 10.1136/bmjopen-2016-015336
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1The modified Delphi process adopted in the study.
Response rate for rounds 1 and 2
| Macroarea | Round 1 | Round 2 | |
| Response rate, % | Research proposals | Response rate, % | |
| 1. Demographic change | 80.0 | 104 | |
| 2. Globalisation | 76.9 | 72 | |
| 3. New technologies | 65.6 | 82 | |
| 4. Chemical and biological agents | 75.8 | 96 | |
| Total | 74.6 | 354 | 67.0 |
Geographical distribution of respondents for rounds 1 and 2
| Country | Round 1 (n=94) | Round 2 (n=75) | ||
| Frequency | Per cent | Frequency | Per cent | |
| Northern Europe | 31 | 33.0 | 20 | 26.7 |
| Central Europe | 39 | 41.5 | 31 | 41.3 |
| Southern Europe | 24 | 25.5 | 24 | 32.0 |
| Total | 94 | 100.0 | 75 | 100.0 |
General ranking of research topics
| Rank | Research topics | Macroarea | Total sample (n=75) | Northern Europe | Central Europe | Southern Europe | Significance | |||||||
| n | Mean (SD) | 0* (%) | 1–2† (%) | 3–5‡ (%) | n | Mean (SD) | n | Mean (SD) | n | Mean (SD) | ||||
| 1 | Older workers | 1 | 73 | 3.90 (0.82) | 0.0 | 4.1 | 95.9 | 20 | 3.80 (0.77) | 30 | 3.83 (0.87) | 23 | 4.09 (0.79) | ns |
| 2 | Nanomaterials | 3 | 63 | 3.89 (0.95) | 0.0 | 11.1 | 88.9 | 15 | 3.53 (1.30) | 26 | 3.69 (0.84) | 22 | 4.36 (0.58) | 0.015; SE>CE |
| 3 | Emerging technological devices | 3 | 71 | 3.87 (0.96) | 0.0 | 7.0 | 93.0 | 17 | 3.71 (0.85) | 31 | 4.03 (0.88) | 23 | 3.78 (1.13) | ns |
| 4 | Chemical agents | 4 | 64 | 3.83 (0.94) | 0.0 | 10.9 | 89.1 | 17 | 3.59 (1.12) | 26 | 3.96 (0.77) | 21 | 3.86 (0.96) | ns |
| 5 | Working conditions, work organisation and job content | 2 | 72 | 3.81 (1.03) | 0.0 | 12.5 | 87.5 | 18 | 3.61 (1.15) | 31 | 3.94 (1.00) | 23 | 3.78 (1.00) | ns |
| 6 | Disabled and chronically sick workers (work disability prevention and return-to-work research) | 1 | 73 | 3.66 (0.96) | 0.0 | 11.0 | 89.0 | 20 | 3.50 (0.83) | 30 | 3.67 (0.99) | 23 | 3.78 (1.04) | ns |
| 7 | Changing employment patterns and practices | 2 | 69 | 3.65 (1.04) | 0.0 | 14.5 | 85.5 | 19 | 3.32 (1.11) | 30 | 3.77 (0.94) | 20 | 3.80 (1.11) | ns |
| 8 | Information and communication technology | 3 | 69 | 3.58 (1.13) | 1.4 | 14.5 | 84.1 | 17 | 3.12 (1.36) | 29 | 3.90 (1.05) | 23 | 3.52 (0.95) | ns |
| 8 | Biological agents | 4 | 64 | 3.58 (0.97) | 0.0 | 15.6 | 84.4 | 17 | 3.29 (1.21) | 26 | 3.62 (0.98) | 21 | 3.76 (0.70) | ns |
| 10 | Health inequalities and work – vulnerable workers | 1 | 71 | 3.48 (1.04) | 0.0 | 16.9 | 83.1 | 20 | 3.55 (0.95) | 29 | 3.31 (1.14) | 22 | 3.64 (1.00) | ns |
| 11 | Migrant workers | 1 | 71 | 3.45 (1.27) | 2.8 | 16.9 | 80.3 | 18 | 3.89 (0.90) | 30 | 3.03 (1.50) | 23 | 3.65 (1.07) | ns |
| 12 | Green jobs | 3 | 70 | 3.44 (0.97) | 0.0 | 12.9 | 87.1 | 18 | 3.33 (1.09) | 30 | 3.37 (1.10) | 22 | 3.64 (0.66) | ns |
| 13 | Enterprises’ reorganisation processes (restructuring, mergers and acquisitions, downsizing, closure, outsourcing, delocalisation and reshoring) | 2 | 66 | 3.15 (1.23) | 1.5 | 25.8 | 72.7 | 17 | 2.82 (1.19) | 29 | 3.21 (1.26) | 20 | 3.35 (1.23) | ns |
| 14 | Women at work and gender aspects | 1 | 71 | 3.14 (1.28) | 4.2 | 23.9 | 71.9 | 19 | 2.74 (1.45) | 29 | 2.93 (1.39) | 23 | 3.74 (0.69) | 0.023; SE>NE; SE>CE |
| 15 | OSH consequences of markets integration based on the reduction of barriers to free movement of goods | 2 | 62 | 2.85 (1.14) | 3.2 | 29.1 | 67.7 | 14 | 2.43 (1.34) | 27 | 2.81 (1.08) | 21 | 3.19 (1.03) | ns |
| 16 | Electromagnetic fields | 3 | 61 | 2.59 (1.26) | 6.5 | 41.0 | 52.5 | 17 | 1.82 (1.24) | 26 | 2.92 (1.20) | 18 | 2.83 (1.10) | 0.013; NE<CE; NE<SE |
Descriptive statistics in total sample and by geographical distribution.
*0, not at all important.
†1–2, little and slightly important.
‡3–5, moderately to extremely important.
CE, Central Europe; NE, Northern Europe.
Ranking of research priorities by mean value according to macroarea
| Research priorities | Total (n=75) | Northern Europe (n=20) | Central Europe (n=31) | Southern Europe (n=24) | ||
| 3–5* (%) | Mean values (SD) | |||||
| 1—Demographic change | ||||||
| 1 | 1.12 Disability prevention, return to work, longer working life (DCSW) | 92.6 | 3.88 (0.92) | 3.65 (0.86) | 3.86 (0.95) | 4.09 (0.92) |
| 2 | 1.3 Impacts of work organisation and job design on older workers’ health and safety (OW) | 87.1 | 3.70 (1.01) | 3.37 (1.01) | 3.76 (0.87) | 3.91 (1.15) |
| 3 | 1.1 Extended working lives, prolonged workplace exposures and lifelong exposure data(OW) | 85.9 | 3.66 (1.03) | 3.40 (1.10) | 3.69 (0.93) | 3.86 (1.08) |
| 4 | 1.8 Sustainable and inclusive OSH system for multiethnic workforce(MW) | 85.7 | 3.57 (1.02) | 3.63 (0.83) | 3.46 (1.20) | 3.65 (0.94) |
| 5 | 1.11 Impact of occupational risk factors on older workers with chronic diseases (DCSW) | 83.6 | 3.55 (0.99) | 3.39 (0.92) | 3.54 (1.04) | 3.71 (1.01) |
| 2—Globalisation | ||||||
| 1 | 2.31 Working-time flexibilisation, health, well-being and productivity (WC) | 92.9 | 3.81 (0.86) | 3.68 (0.95) | 3.76 (0.79) | 4.00 (0.87) |
| 2 | 2.22 Prolonged precariousness and ageing workforce (CEPP) | 88.1 | 3.78 (0.98) | 3.44† (1.10) | 3.59† (0.93) | 4.27† (0.77) |
| 3 | 2.17 Introduction of unsafe/unhealthy work equipment, materials and goods (OCMI) | 92.4 | 3.68 (0.96) | 3.88 (0.81) | 3.43 (0.97) | 3.90 (1.02) |
| 4 | 2.20 OSH management in crowdsourcing, internships, zero hours contracts (CEPP) | 79.1 | 3.64 (1.20) | 3.35 (1.22) | 3.83 (1.07) | 3.62 (1.36) |
| 5 | 2.15 Restructuring, practical interventions to reduce OSH risks and support well-being (ERP) | 84.1 | 3.62 (0.96) | 3.38 (0.96) | 3.58 (0.76) | 3.86 (1.15) |
| 3—New technologies | ||||||
| 1 | 3.32 NOAA, standardised sampling and measurement methods (ENM) | 96.6 | 4.00 (0.92) | 3.63 (1.26) | 4.00 (0.80) | 4.27 (0.63) |
| 2 | 3.33 NOAA, regulations, guidelines and good practices (ENM) | 91.2 | 3.90 (1.08) | 3.57 (1.51) | 4.05 (0.92) | 3.96 (0.90) |
| 3 | 3.34 NOAA risk assessment: toxicological evaluation and biomonitoring programmes (ENM) | 89.7 | 3.81 (1.02) | 3.47 (1.46) | 3.71 (0.96) | 4.14 (0.56) |
| 4 | 3.36 NOAA, physical and chemical properties, research data and knowledge transfer (ENM) | 87.7 | 3.79 (1.16) | 3.20‡ (1.37) | 3.67 (1.20) | 4.33‡ (0.66) |
| 5 | 3.41 Smart PPE and adaptive/wearable sensors, environment and workers’ monitoring (ICT) | 85.1 | 3.70 (1.10) | 3.44 (1.20) | 3.55 (1.09) | 4.15 (0.93) |
| 4—Chemical and biological agents | ||||||
| 1 | 4.64 Multiple chemical exposures and interactions between chemicals and other risks (CA) | 84.7 | 3.63 (1.14) | 3.47 (1.18) | 3.61 (1.20) | 3.79 (1.08) |
| 2 | 4.60 Sampling and detection devices for early detection of chemicals (CA) | 84.5 | 3.62 (1.01) | 3.63 (1.20) | 3.57 (0.95) | 3.68 (0.95) |
| 3 | 4.57 Measurement devices and methods for sampling and assessment of bioaerosols (BA) | 87.3 | 3.62 (1.16) | 3.35 (1.37) | 3.90 (0.91) | 3.56 (1.20) |
| 4 | 4.61 Reliable, non-invasive biomarkers to measure occupational exposure to chemicals (CA) | 83.3 | 3.56 (1.08) | 3.53 (1.13) | 3.62 (1.02) | 3.50 (1.15) |
| 5 | 4.66 CMRs and sensitising substances, exposure modelling, job exposure matrix (CA) | 83.0 | 3.51 (1.03) | 3.36 (1.08) | 3.50 (1.10) | 3.65 (0.93) |
| Miscellaneous | ||||||
| 1 | 5.69 Translation of OSH research evidence into practical tools | 86.1 | 3.82 (1.17) | 3.63 (1.21) | 3.90 (1.21) | 3.87 (1.10) |
| 2 | 5.72 OSH implementation in micro, small and medium enterprises | 85.1 | 3.61 (1.17) | 3.56 (1.20) | 3.75 (0.97) | 3.48 (1.40) |
| 3 | 5.75 Addressing OSH since the design stage in research on new technologies | 75.0 | 3.33 (1.31) | 2.94 (1.39) | 3.66 (1.08) | 3.16 (1.50) |
| 4 | 5.68 Tools and methods to support European companies’ prevention needs | 73.1 | 3.21 (1.25) | 2.88 (1.26) | 3.36 (1.25) | 3.26 (1.25) |
| 5 | 5.71 Health inequalities among employees, workplaces, regions, sectors of employment | 64.4 | 2.85 (1.11) | 3.20 (1.01) | 2.62 (1.20) | 2.89 (1.02) |
Descriptive statistics in total sample and by geographical distribution.
*3–5, moderately to extremely important.
†0.009, SE>NE; SE>CE.
‡0.015, SE>NE.
BA, biological agents; CA, chemical agents; CE, Central Europe; CEPP, changing employment patterns and practices; CMR, carcinogenic, mutagenic and reprotoxic; DCSW, disabled and chronically sick workers; ENM, nanomaterials; ERP, Enterprises’ reorganisation processes; ICT, information and communication technology; NE, Northern Europe; NOAA, nano objects and their aggregates and agglomerates; OW, old workers; OSH, occupational safety and health; OCMI, OSH consequences of markets integration; PPE, personal protective equipment; WC, working conditions.