| Literature DB >> 32685751 |
Glenda Keyla China Quemel1, Letícia Caroline da Cruz Paula2, Ivonete Vieira Pereira Peixoto2, Osvaldo da Silva Peixoto3, Jeferson Santos Araújo4, Mônica Custódia do Couto Abreu Pamplona2, Thayse Moraes de Moraes1, Rodrigo Cesar Freitas da Silva5, Bruno de Oliveira Santos6.
Abstract
BACKGROUND: Occupational accidents are considered public health problems, where there are gaps regarding studies on this theme in the northern region of Brazil with focus on nursing professionals. AIMS: To analyze the factors related to occupational accidents in nursing professionals occurred in a large public hospital in Belém (PA) from January 2009 to December 2016.Entities:
Keywords: accidents; nursing; occupational; occupational risks
Year: 2019 PMID: 32685751 PMCID: PMC7363256 DOI: 10.5327/Z1679443520194387
Source DB: PubMed Journal: Rev Bras Med Trab ISSN: 1679-4435
Sociodemographic profile of nursing professionals involved in work accidents from January 2009 through December 2016, Belém, Pará, Brazil, 2009-2016 (n=211).
| Variables | Absolute frequency (n) | Relative frequency |
|---|---|---|
| Sex | ||
| Female | 152 | 72.04% |
| Male | 59 | 27.96% |
| Occupational category | ||
| Nurses | 25 | 11.85% |
| Nursing technicians | 186 | 88.15% |
| Age (years) | ||
| Up to 29 | 21 | 9.95% |
| 30 to 36 | 72 | 34.13% |
| 37 to 43 | 60 | 28.44% |
| 44 to 50 | 29 | 13.74% |
| 51 to 57 | 24 | 11.37% |
| Above 58 | 5 | 2.37% |
| Marital status | ||
| Married | 82 | 38.90% |
| Divorced | 18 | 8.50% |
| Single | 89 | 42.18% |
| Civil union | 11 | 5.21% |
| Widowed | 11 | 5.21% |
| Relationship employment | ||
| Civil servant | 202 | 95.74% |
| Private sector | 8 | 3.79% |
| Other | 1 | 0.47% |
| Type of accidents | ||
| Typical | 194 | 91.94% |
| Commuting | 17 | 8.06% |
| Type of hazards | ||
| Biological | 99 | 46.92% |
| Mechanical | 72 | 34.12% |
| Other | 40 | 18.96% |
| Shift | ||
| Morning | 94 | 44.55% |
| Afternoon | 73 | 34.60% |
| Night | 44 | 20.85% |
| Involved body site | ||
| Upper limbs | 120 | 56.87% |
| Head and neck | 44 | 20.85% |
| Chest/abdomen | 13 | 6.16% |
| Lower limbs | 21 | 9.95% |
| Polytrauma | 12 | 5.69% |
| Other | 1 | 0.48% |
| Causative agent | ||
| Traffic accident | 9 | 4.27% |
| Physical infrastructure | 31 | 14.69% |
| Body fluids | 25 | 11.85% |
| Patient with psychotic episode | 57 | 27.01% |
| Sharps | 72 | 34.12% |
| Chemicals | 5 | 2.37% |
| Other | 12 | 5.69% |
| Location | ||
| Coronary care unit | 5 | 2.37% |
| Obstetrics department | 6 | 2.84% |
| Central sterile services department | 8 | 3.79% |
| On the street | 16 | 7.58% |
| Clinical departments | 17 | 8.06% |
| Intensive care unit | 23 | 10.90% |
| Surgery department | 25 | 11.85% |
| Renal treatment department | 23 | 10.90% |
| Psychiatry | 72 | 34.13% |
| Other | 16 | 7.58% |
Annual number of nursing professionals, accidents and incidence, Belém, Pará, Brazil, 2009-2016 (n=211).
| Year | Nursing staff | Accidents |
Annual incidence (/1000 workers) |
|---|---|---|---|
| 2009 | 597 | 23 | 38.5 |
| 2010 | 653 | 16 | 24.5 |
| 2011 | 680 | 25 | 36.7 |
| 2012 | 726 | 36 | 49.5 |
| 2013 | 732 | 26 | 35.5 |
| 2014 | 763 | 46 | 60.2 |
| 2015 | 756 | 25 | 33.0 |
| 2016 | 735 | 14 | 19.0 |
Statistical analysis of work accidents (Student’s t-test for independent samples), Belém, Pará, Brazil, 2009-2016 (n=211).
| Occupational category | |||||
| Nurses (n=25) | Nursing technicians (n=186) | Significance | |||
| Mean | Standard deviation | Mean | Standard deviation | ||
| Age | 42.04 | 10.39 | 38.89 | 8.54 | 0.157 |
| Number of accidents | 2.50 | 1.51 | 13.29 | 6.47 | 0.000* |
| Sex | |||||
| Male (n=59) | Female (n=152) | Significance | |||
| Mean | Standard deviation | Mean | Standard deviation | ||
| Age | 39.94 | 8.88 | 37.51 | 8.46 | 0.072 |
*Statistically significant.
Statistical analysis of work accidents (repeated measures ANOVA), Belém, Pará, Brazil, 2009-2016 (n=211).
| Variables | df | Sum of squares | Mean square | F | Significance |
|---|---|---|---|---|---|
| Type of hazard | 2 | 127.72 | 63.86 | 10.78 | 0.001* |
| Work shift | 2 | 96.36 | 48.18 | 6.08 | 0.007* |
| Causative agent | 4 | 78.64 | 19.66 | 3.65 | 0.027* |
| Location | 5 | 62.97 | 12.59 | 11.88 | 0.000* |
| Body site | 2 | 17.73 | 8.87 | 4.19 | 0.057 |
*Statistically significant; df: degrees of freedom.
Statistical analysis of work accidents (χ2 test of independence), Belém, Pará, Brazil, 2009-2016 (n=211).
| Variables | χ2 | p value |
|---|---|---|
| Occupational category × type of hazard | 3.92 | 0.141 |
| Work shift × type of hazard | 9.59 | 0.048 |