| Literature DB >> 29942343 |
Omar F Khabour1,2, Khalil H Al Ali1, Waleed H Mahallawi1.
Abstract
BACKGROUND: Clinical laboratory workers face biohazard such as needlestick injury and occupational infection on a daily basis. In this study, we examined self-reported frequency of occupational infection and needlestick injury among the clinical laboratory workers in Al- Madinah, Saudi Arabia.Entities:
Keywords: Al-Madinah; Biosafety; Clinical laboratory; Needlestick; Occupational infection
Year: 2018 PMID: 29942343 PMCID: PMC5963129 DOI: 10.1186/s12995-018-0198-5
Source DB: PubMed Journal: J Occup Med Toxicol ISSN: 1745-6673 Impact factor: 2.646
General characteristics of participants
| Variable | Category | Number of subjects | Percentage |
|---|---|---|---|
| Age | 18–30 | 135 | 57.7% |
| 31–40 | 70 | 29.9% | |
| > 40 | 29 | 12.4% | |
| Gender | Male | 147 | 62.8% |
| Female | 87 | 37.2% | |
| Social position | Married | 130 | 55.6% |
| Single | 96 | 41.0% | |
| Divorced/widowed | 8 | 3.4% | |
| Place of work | Governmental clinics | 132 | 56.4% |
| Private clinics | 102 | 43.6% | |
| Academic degree | College degrez | 30 | 12.8% |
| Bachelor degree | 167 | 71.4% | |
| Graduate degree | 37 | 15.8% | |
| Academic Field | Laboratory Sciences | 174 | 74.4% |
| Applied Biology | 25 | 10.7% | |
| Health Science | 19 | 8.1% | |
| Others | 16 | 6.8% | |
| Assigned work | Clinical chemistry | 71 | 30.3% |
| Hematology | 99 | 42.3% | |
| Histology/pathology | 27 | 11.5% | |
| Microbiology/ Immunology | 37 | 15.8% | |
| Years of experience | ≤ 3 | 91 | 38.9% |
| 4–6 | 64 | 27.4% | |
| 7–10 | 50 | 21.4% | |
| > 10 | 28 | 12.0% | |
| Position | Residency | 50 | 21.4% |
| Technician | 141 | 60.3% | |
| Lab director | 18 | 7.7% | |
| Consultant | 25 | 10.7% | |
| Training on Biosafety | Yes | 152 | 65.0% |
| No | 82 | 35.0% |
Incidence of needle stick injuries among participants
| Variable | Category | (Yes) Had needle stick injuries | (NO) Had needle stick injuries | Odd ratio | 95% confidence interval | |
|---|---|---|---|---|---|---|
| Age | 18–30 | 32 (57.2%) | 103 (57.9%) | – | – | |
| 31–40 | 18 (32.1%) | 52 (29.2%) | 1.123 | 0.60–2.09 | 0.714 | |
| > 40 | 6 (10.7%) | 23 (12.9%) | 0.864 | 0.35–2.08 | 0.739 | |
| Gender | Male | 39 (69.6%) | 108 (60.7%) | – | – | |
| Female | 17 (30.4%) | 70 (39.3%) | 0.672 | 0.37–1.20 | 0.181 | |
| Social status | Married | 34 (60.7%) | 96 (53.9%) | – | – | |
| Single | 18 (32.1%) | 78 (43.8%) | 0.643 | 0.36–1.15 | 0.139 | |
| Divorced/widowed | 4 (7.1%) | 4 (2.2%) | 3.098 | 0.62–15.5 | 0.167 | |
| Place of work | Governmental clinics | 25 (44.6%) | 107 (60.1%) | – | – | |
| Private clinics | 31 (55.4%) | 71 (39.9%) | 1.833 | 1.04–3.21 | 0.034 | |
| Academic degree | College degree | 8 (14.3%) | 22 (12.4%) | – | – | |
| Bachelor degree | 38 (67.9%) | 129 (72.5%) | 0.798 | 0.34–1.84 | 0.598 | |
| Graduate degree | 10 (17.9%) | 27 (15.2%) | 1.020 | 0.36–2.88 | 0.957 | |
| Academic Field | Laboratory Sciences | 40 (71.4%) | 134 (75.3%) | – | – | |
| Applied Biology | 9 (16.1%) | 16 (9.0%) | 1.877 | 0.77–4.52 | 0.159 | |
| Health Science | 6 (10.7%) | 13 (7.3%) | 1.452 | 0.55–3.81 | 0.449 | |
| Others | 1 (1.8%) | 15 (8.4%) | 0.261 | 0.05–1.28 | 0.099 | |
| Assigned work | Clinical chemistry | 15 (26.8%) | 55 (30.9%) | – | – | |
| Hematology | 22 (39.3%) | 77 (43.3%) | 1.041 | 0.53–2.04 | 0.906 | |
| Histology/pathology | 8 (14.3%) | 19 (10.7%) | 1.460 | 0.56–3.75 | 0.431 | |
| Microbiology/Immunology | 10 (17.9%) | 27 (15.2%) | 1.377 | 0.58–3.24 | 0.464 | |
| Years of experience | ≤ 3 | 16 (28.6%) | 75 (42.1%) | – | – | |
| 4–6 | 18 (32.1%) | 46 (25.8%) | 1.782 | 0.88–3.59 | 0.106 | |
| 7–10 | 17 (30.4%) | 33 (18.5%) | 2.286 | 0.92–4.81 | 0.062 | |
| > 10 | 4 (7.1%) | 24 (13.5%) | 0.724 | 0.26–2.01 | 0.536 | |
| Position | Residency | 14 (25.0%) | 36 (20.2%) | – | – | |
| Technician | 32 (57.1%) | 109 (61.2%) | 0.747 | 0.37–1.49 | 0.408 | |
| Lab director | 7 (12.5%) | (6.2%)11 | 1.733 | 0.56–5.37 | 0.341 | |
| Consultant | 3 (5.4%) | 22 (12.4%) | 0.333 | 0.10–1.10 | 0.072 | |
| Training on Biosafety | Yes | 29 (51.8%) | 123 (69.1%) | – | – | |
| No | (48.2%) 27 | (30.9%) 55 | 2.054 | 1.15–3.66 | 0.014 |
Covering needle directly after use as reported by participants expressed as number of participants (%)
| Variable | Category | Always | Most Times | Neutral | Sometimes | Never | |
|---|---|---|---|---|---|---|---|
| Age | 18–30 | 76 (61.3) | 21 (61.8) | 26 (48.1) | 6 (50.0) | 6 (60.0) | 0.770 |
| 31–40 | 35 (28.2) | 8 (23.5) | 18 (33.3) | 6 (50.0) | 3 (30.0) | ||
| > 40 | 13 (10.6) | 5 (14.7) | 9 (16.7) | 0 (0.0) | 1 (10.0) | ||
| Gender | Male | 80 (64.55) | 18 (52.9) | 36 (66.7) | 8 (66.7) | 5 (50.0) | 0.610 |
| Female | 44 (35.5) | 16 (47.1) | 18 (33.3) | 4 (33.3) | 5 (50.0) | ||
| Social status | Married | 73 (58.9) | 18 (52.9) | 27 (50.0) | 7 (58.3) | 5 (50.0) | 0.804 |
| Single | 46 (37.1) | 16 (47.1) | 24 (44.4) | 5 (41.7) | 5 (50.0) | ||
| Divorced/widowed | 5 (4.0) | 0 (0.0) | 3 (5.6) | 0 (0.0) | 0 (0.0) | ||
| Place of work | Governmental clinics | 79 (63.7) | 18 (52.9) | 21 (38.9) | 5 (41.7) | 9 (90.0) | 0.004 |
| Private clinics | 45 (36.3) | 16 (47.1) | 33 (61.1) | 7 (58.3) | 1 (10.0) | ||
| Academic degree | College degree | 16 (12.9) | 7 (20.6) | 4 (7.4) | 3 (25.0) | 0 (0.0) | 0.066 |
| Bachelor degree | 88 (71.0) | 26 (76.5) | 41 (75.9) | 6 (50.0) | 6 (60.0) | ||
| Graduate degree | 20 (16.1) | 1 (2.9) | 9 (16.7) | 3 (25.8) | 4 (40.0) | ||
| Academic Field | Laboratory Sciences | 87 (70.2) | 24 (70.6) | 46 (85.2) | 10 (83.3) | 7 (70.0) | 0.631 |
| Applied Biology | 14 (11.3) | 4 (11.8) | 4 (7.4) | 1 (8.3) | 2 (20.0) | ||
| Health Science | 10 (8.1) | 4 (11.8) | 3 (5.6) | 1 (8.3) | 1 (10.0) | ||
| Others | 13 (10.5) | 2 (5.9) | 1 (1.9) | 0 (0.0) | 0 (0.0) | ||
| Assigned work | Clinical chemistry | 37 (29.8) | 9 (26.5) | 15 (27.8) | 7 (58.3) | 3 (30.0) | 0.658 |
| Hematology | 50 (40.3) | 17 (50.0) | 25 (46.3) | 3 (25.0) | 4 (40.0) | ||
| Histology/pathology | 14 (11.3) | 6 (17.6) | 4 (7.4) | 2 (16.7) | 1 (10.0) | ||
| Microbiology/ Immunology | 23 (18.5) | 2 (5.9) | 10 (18.5) | 0 (0.0) | 2 (20.0) | ||
| Years of experience | ≤ 3 | 54 (43.5) | 17 (50.0) | 12 (22.2) | 4 (33.3) | 4 (40.0) | 0.365 |
| 4–6 | 31 (25.0) | 6 (17.6) | 18 (33.3) | 5 (41.7) | 4 (40.0) | ||
| 7–10 | 23 (18.5) | 8 (23.5) | 16 (29.6) | 3 (25.0) | 0 (0.0) | ||
| > 10 | 15 (12.1) | 3 (8.8) | 8 (14.8) | 0 (0.0) | 2 (20.0) | ||
| Position | Residency | 32 (25.8) | 8 (23.5) | 10 (18.5) | 0 (0.0) | 0 (0.0) | 0.001 |
| Technician | 74 (59.7) | 19 (55.9) | 37 (68.5) | 6 (50.0) | 5 (50.0) | ||
| Lab director | 9 (7.3) | 4 (11.8) | 3 (5.6) | 0 (0.0) | 2 (20.0) | ||
| Consultant | 9 (7.3) | 3 (8.8) | 4 (7.4) | 6 (50.0) | 3 (30.0) | ||
| Training on biosafety | Yes | 69 (55.6) | 24 (70.6) | 46 (85.2) | 7 (58.3) | 6 (60.0) | 0.024 |
| No | 55 (44.4) | 10 (29.4) | 8 (14.8) | 5 (41.7) | 4 (40.0) |
Incidence of occupational infection among participants
| Variable | Category | Yes | No | Odd ratio | 95% confidence interval | |
|---|---|---|---|---|---|---|
| Age | 18–30 | 47 (60.2%) | 88 (56.4%) | – | – | |
| 31–40 | 23 (29.5%) | 47 (30.1%) | 0.933 | 0.50–1.74 | 0.828 | |
| > 40 | 8 (10.3%) | 21 (13.5%) | 0.666 | 0.27–1.62 | ||
| Gender | Male | 47 (60.2%) | 100 (64.1%) | – | – | |
| Female | 31 (39.7%) | 56 (35.9%) | 1.185 | 0.66–2.09 | 0.560 | |
| Social status | Married | 43 (55.1%) | 87 (55.8%) | – | – | |
| Single | 29 (37.2%) | 67 (42.9%) | 0.876 | 0.49–1.55 | 0.652 | |
| Divorced/widowed | 6 (7.7%) | 2 (1.3%) | 7.12 | 0.84–59.86 | 0.070 | |
| Place of work | Governmental clinics | 43 (55.1%) | 89 (57.1%) | – | – | |
| Private clinics | 35 (44.9%) | 67 (42.9%) | 1.084 | 0.620–1.895 | 0.775 | |
| Academic degree | College degree | 17 (21.8%) | 13 (8.3%) | – | – | |
| Bachelor degree | 50 (64.1%) | 117 (75.0%) | 0.310 | 0.12–0.74 | 0.009 | |
| Graduate degree | 11 (14.1%) | 26 (16.7%) | 0.318 | 0.10–0.93 | 0.037 | |
| Academic Field | Laboratory Sciences | 56 (71.8%) | 118 (75.6%) | – | – | |
| Applied Biology | 12 (15.4%) | 13 (8.3%) | 1.97 | 0.79–4.94 | 0.144 | |
| Health Science | 4 (5.1%) | 15 (9.6%) | 0.527 | 0.17–1.61 | 0.264 | |
| Others | 6 (7.7%) | 10 (6.4%) | 1.206 | 0.41–3.49 | 0.729 | |
| Assigned work | Clinical chemistry | 29 (37.2%) | 42 (26.9%) | – | – | |
| Hematology | 28 (35.9%) | 71 (45.5%) | 0.571 | 0.29–1.10 | 0.096 | |
| Histology/pathology | 8 (10.3%) | 19 (12.2%) | 0.608 | 0.22–1.61 | 0.317 | |
| Microbiology/ Immunology | 13 (16.7%) | 24 (15.4%) | 0.827 | 0.35–1.94 | 0.662 | |
| Years of experience | ≤ 3 | 33 (42.3%) | 58 (37.2%) | – | – | |
| 4–6 | 18 (23.1%) | 46 (29.5%) | 0.675 | 0.33–1.36 | 0.272 | |
| 7–10 | 15 (19.2%) | 35 (22.4%) | 0.760 | 0.35–1.62 | 0.478 | |
| > 10 | 11 (14.1%) | 17 (10.9%) | 1.23 | 0.48–3.10 | 0.656 | |
| Position | Residency | 19 (24.4%) | 31 (19.9%) | – | – | |
| Technician | 47 (60.3%) | 94 (60.3%) | 1.400 | 0.57–3.39 | 0.457 | |
| Lab director | 5 (6.4%) | 13 (8.3%) | 0.750 | 0.24–2.29 | 0.613 | |
| Consultant | 7 (9.0%) | 18 (11.5%) | 0.751 | 0.29–1.91 | 0.546 | |
| Training on Biosafety | Yes | 42 (53.8%) | 110 (70.5%) | – | – | |
| No | 36 (46.2%) | 46 (29.5%) | 2.085 | 1.16–3.74 | 0.013 |
Fig. 1Awareness of participants about disinfection procedures and infection routes. A total of 234 participants were included in the study. More than 80% of study sample reported having excellent to very good awareness about disinfection procedures and infection routes