| Literature DB >> 32435110 |
Febri E B Setyawan1,2, Stefanus Supriyanto1, Ernawaty Ernawaty1, Retno Lestari1,3.
Abstract
CONTEXT: Noncompliance with personal protective equipment (PPE) in industrial workers results in increased injury or illness and is commonly reported worldwide. Numerous guidelines and management policies are employed to prevent work-related health hazards, yet industrial workers still exhibit low rates of PPE compliance, especially in outsourced workers. AIMS: The aim of this study was to develop a holistic-comprehensive assessment framework model summarizing the key factors in achieving the stated goals of interventions targeting PPE compliance in Indonesian cement workers. SETTINGS ANDEntities:
Keywords: Compliance; holistic-comprehensive; personal protective equipment; punishment
Year: 2020 PMID: 32435110 PMCID: PMC7227741 DOI: 10.4103/ijoem.IJOEM_115_19
Source DB: PubMed Journal: Indian J Occup Environ Med ISSN: 0973-2284
Figure 1A core conceptual framework on holistic-comprehensive assessment model on factors associated with personal protective equipment (PPE) compliance
Figure 2Workers-related factors
Figure 3Management of policy.related factors
General characteristics of respondents
| Category | Frequencies (%) | Mean (SD) |
|---|---|---|
| Age | ||
| <40 years | 101 (55.2) | 1.64 (0.48) |
| >40 years | 82 (44.8) | |
| Knowledge | ||
| Good | 76 (41.5) | 1.29 (0.47) |
| Poor | 107 (58.5) | |
| Duration of employment | ||
| <1 year | 118 (64.5) | 1.19 (0.4) |
| ≥1 year | 65 (35.5) | |
| Provision of PPE | ||
| Good | 78 (42.6) | 1.51 (0.5) |
| Poor | 105 (57.4) | |
| Reward | ||
| Yes | 65 (35.5) | 1.09 (0.28) |
| No | 118 (64.5) | |
| Punishment | ||
| Yes | 79 (43.2) | 1.04 (0.19) |
| No | 104 (56.8) | |
| PPE compliance | ||
| Comply with rules | 80 (43.7) | 1.19 (0.4) |
| Do not comply with rules | 103 (56.3) |
PPE: personal protective equipment
Correlation analysis of age, knowledge, duration of employment, provision of PPE, reward, punishment, and PPE compliance
| Factors related to PPE Compliance | Significance | Correlation Coefficient | Interpretation |
|---|---|---|---|
| Age | 0.000 | 0.575 | Moderately strong correlation |
| Knowledge | 0.000 | 0.625 | Strong correlation |
| Duration of employment | 0.000 | 0.463 | Moderately strong correlation |
| Provision of PPE | 0.000 | 0.400 | Moderately strong correlation |
| Reward | 0.000 | 0.363 | Weak correlation |
| Punishment | 0.000 | 0.688 | Strong correlation |
Distribution of multi-nomial regression analysis of factors influencing PPE Compliance
| Factors related to PPE Compliance | B | S.E. | Wald | Df | Sig. | Exp (B) | 95% CI |
|---|---|---|---|---|---|---|---|
| Age | 0.315 | 0.416 | 0.576 | 1 | 0.448 | 1.371 | 1.56-1.71 |
| Knowledge | −0.311 | 0.442 | 0.496 | 1 | 0.481 | 0.732 | 1.23-1.36 |
| Duration of employment | −0.512 | 0.537 | 0.906 | 1 | 0.341 | 0.600 | 1.14-1.26 |
| Provision of PPE | −0.481 | 0.395 | 1.483 | 1 | 0.223 | 0.618 | 1.43-1.58 |
| Reward | −0.116 | 0.681 | 0.029 | 1 | 0.864 | 0.890 | 1.04-1.13 |
| Punishment | 1.653 | 0.809 | 4.176 | 1 | 0.041 | 5.220 | 1.01-1.07 |
| Constant | −1.817 | 1.801 | 1.018 | 1 | 0.313 | 0.162 | 1.14-1.26 |