| Literature DB >> 31126266 |
Anna Garus-Pakowska1, Mariusz Górajski2.
Abstract
BACKGROUND: Needlestick and sharp injuries (NSIs) are an important element of public health and should be closely monitored. On the other hand there are no precise Polish data on a number of the occupational NSIs. The aim of the study was to assess the failure to report injuries and then to estimate the actual number of NSIs among healthcare workers (HCWs) in Poland based on the collected data.Entities:
Keywords: Healthcare workers; Hospitals; Needlestick injury; Occupational exposures; Sharp injury; Surveillance; Underreporting
Mesh:
Year: 2019 PMID: 31126266 PMCID: PMC6534898 DOI: 10.1186/s12889-019-6996-6
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Sharp injuries among HCWs reported in Polish Hospitals, 2010–2014, by occupational group, used medical tools and performed activity
| Variable | Medical tool | Total | |||||
|---|---|---|---|---|---|---|---|
| Hollow - bore needle | Suture needle | Scalpel | Cannula | Others* | |||
| Physician injuries (n) | 820 | 835 | 387 | 30 | 219 | 2291 | |
| within profession (%) | 35.8 | 36.4 | 16.9 | 1.3 | 9.6 | 100.0 | |
| within tool (%) | 13.0 | 68.7 | 49.1 | 4.9 | 40.5 | 24.2 | |
| within total (%) | 8.7 | 8.8 | 4.1 | 0.3 | 2.3 | 24.2 | |
| Nurse and midwife injuries (n) | 5267 | 372 | 398 | 508 | 316 | 6861 | |
| within profession (%) | 76.8 | 5.4 | 5.8 | 7.4 | 4.6 | 100.0 | |
| within tool (%) | 83.7 | 30.6 | 50.5 | 83.4 | 58.4 | 72.6 | |
| within total (%) | 55.7 | 3.9 | 4.2 | 5.4 | 3.3 | 72.6 | |
| Paramedic injuries (n) | 208 | 9 | 3 | 71 | 6 | 297 | |
| within profession (%) | 70.0 | 3.0 | 1.0 | 23.9 | 2.0 | 100.0 | |
| within tool (%) | 3.3 | 0.7 | 0.4 | 11.7 | 1.1 | 3.1 | |
| within total (%) | 2.2 | 0.1 | 0.0 | 0.8 | 0.1 | 3.1 | |
| Total (n) | 6295 | 1216 | 788 | 609 | 541 | 9449 | |
| within profession (%) | 66.6 | 12.9 | 8.3 | 6.4 | 5.7 | 100.0 | |
| within tool (%) | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
| within total (%) | 66.6 | 12.9 | 8.3 | 6.4 | 5.7 | 100.0 | |
| Pearson’s Chi2 test | Chi2 = 2339.144 for | ||||||
| *Others - hook, scissors, pliers, etc. | |||||||
| Variable | Performed activity | Total | |||||
| Blood collection | injection | Waste cleaning | surgery | Venipuncture | recapping | ||
| Physician injuries (n) | 130 | 253 | 58 | 1705 | 102 | 19 | 2267 |
| Within profession (%) | 5.7 | 11.2 | 2.6 | 75.2 | 4.5 | 0.8 | 100.0 |
| Within activity (%) | 8.0 | 10.3 | 5.2 | 61.6 | 9.2 | 9.0 | 24.4 |
| Within total (%) | 1.4 | 2.7 | 0.6 | 18.4 | 1.1 | 0.2 | 24.4 |
| Nurse and midwife injuries (n) | 1437 | 2164 | 984 | 1049 | 905 | 189 | 6728 |
| Within profession (%) | 21.4 | 32.2 | 14.6 | 15.6 | 13.5 | 2.8 | 100.0 |
| Within activity (%) | 88.2 | 87.8 | 89.0 | 37.9 | 81.8 | 89.2 | 72.5 |
| Within total (%) | 15.5 | 23.3 | 10.6 | 11.3 | 9.7 | 2.0 | 72.5 |
| Paramedic injuries (n) | 62 | 48 | 63 | 13 | 100 | 4 | 290 |
| Within profession (%) | 21.4 | 16.6 | 1.7 | 4.5 | 34.5 | 1.4 | 100.0 |
| Within activity (%) | 3.8 | 1.9 | 5.7 | 0.5 | 9.0 | 1.9 | 3.1 |
| Within total (%) | 0.7 | 0.5 | 0.7 | 0.1 | 1.1 | 0.0 | 3.1 |
| Total (n) | 1629 | 2465 | 1105 | 2767 | 1107 | 212 | 9285 |
| Within profession (%) | 17.5 | 26.5 | 11.9 | 29.8 | 11.9 | 2.3 | 100.0 |
| Within activity (%) | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |
| Within total (%) | 17.5 | 26.5 | 11.9 | 29.8 | 11.9 | 2.3 | 100.0 |
| Pearson’s Chi2 test | Chi2 = 3121.685 for | ||||||
Injuries rates/1000 HCWs in subsequent years and with division into the Voivodships
| Variable | Physicians (95%CI) | Nurses (95%CI) | Paramedics (95%CI) | Average rate (95%CI) |
|---|---|---|---|---|
| Years (2010–2014) | 16.0 (15.39, 16.71) | 20.5 (19.98, 20.95) | 16.8 (14.89, 18.78) | 19.0 (18.61, 19.38) |
| 2010 | 13.5 (12.16, 14.99) | 20.2 (19.07, 21.29) | 17.8 (13.46, 23.04) | 18.1 (17.29, 19.02) |
| 2011 | 15.5 (14.02, 16.99) | 20.4 (19.27, 21.49) | 18.5 (14.16, 23.67) | 18.9 (18.01, 19.76) |
| 2012 | 16.4 (14.91, 17.93) | 20.5 (19.37, 21.59) | 13.6 (9.95, 18.18) | 18.9 (18.08, 19.82) |
| 2013 | 17.5 (16.01, 19.06) | 20.8 (19.75, 21.94) | 17.6 (13.56, 22.39) | 19.7 (18.87, 20.61) |
| 2014 | 17.1 (15.65, 18.62) | 20.5 (19.44, 21.58) | 16.4 (12.59, 20.88) | 19.2 (18.39, 20.08) |
| Voivodships | ||||
| Lower Silesian | 19.3 (16.24, 22.77) | 24.3 (22.11, 26.54) | 13.4 (3.66, 33.90) | 22.8 (21.05, 24.68) |
| Kuyavian-Pomeranian | 6.6 (4.79, 8.89) | 13.6 (11.78, 15.59) | 15.6 (8.94, 25.20) | 11.6 (10.27, 13.13) |
| Lublin Province | 19.8 (16.45, 23.68) | 29.8 (27.11, 32.65) | 13.3 (7.47, 21.86) | 26.3 (24.26, 28.55) |
| Lubusz | 28.1 (20.51, 37.58) | 39.9 (34.16, 46.39) | 57.1 (15.79, 139.89) | 36.9 (32.20, 42.14) |
| Lodzkie | 9.0 (7.83, 10.34) | 12.9 (11.93, 13.95) | 4.9 (2.45, 8.75) | 11.4 (10.65, 12.19) |
| Lesser Poland | 22.2 (19.67, 24.96) | 25.0 (23.14, 27.02) | 12.4 (7.11, 20.06) | 23.5 (22.04, 25.05) |
| Masovian | 13.6 (12.10, 15.29) | 16.4 (15.32, 17.64) | 15.6 (11.03, 21.30) | 15.6 (14.69, 16.53) |
| Opole | 13.3 (7.07, 22.55) | 30.8 (24.50, 38.30) | 24.4 (10.59, 47.49) | 25.8 (21.07, 31.34) |
| Subcarpathian | 15.3 (12.47, 18.50) | 20.0 (18.03, 22.21) | 12.9 (5.93, 24.40) | 18.6 (16.95, 20.33) |
| Podlaskie | 17.7 (14.72, 21.13) | 23.7 (21.40, 26.11) | 21.9 (14.08, 32.41) | 21.9 (20.13, 23.84) |
| Pomeranian | 16.8 (14.41, 19.55) | 22.9 (20.94, 25.02) | 18.9 (13.74, 25.42) | 21.0 (19.51, 22.63) |
| Silesian | 30.4 (27.17, 33.93) | 21.8 (20.03, 23.73) | 41.6 (26.24, 62.29) | 24.7 (23.12, 26.39) |
| Holy Cross | 12.8 (10.08, 15.96) | 21.9 (19.66, 24.31) | 3.7 (0.45, 13.41) | 18.2 (16.49, 19.97) |
| Warmian-Masurian | 13.5 (10.39, 17.17) | 21.9 (19.06, 24.95) | 22.6 (13.22, 35.95) | 19.3 (17.18, 21.60) |
| Greater Poland | 18.5 (16.14, 21.18) | 23.9 (22.10, 25.75) | 25.3 (18.34, 33.88) | 22.4 (21.00, 23.91) |
| West Pomeranian | 15.6 (12.29, 19.64) | 21.5 (18.86, 24.50) | 31.1 (17.52, 50.81) | 20.1 (17.95, 22.41) |
95%CI – 95% Confidence Interval
Structure of the respondents due to variable gender and profession, N = 487 (%)
| Sex | Profession | Total | ||
|---|---|---|---|---|
| Physician (%) | Nurse (%) | Paramedic (%) | ||
| Female | 40 (14.4) | 189 (68.2) | 48 (17.3) | 277 (100.0) |
| Male | 36 (17.1) | 7 (3.3) | 167 (79.5) | 210 (100.0) |
| Total | 76 (15.6) | 196 (40.2) | 215 (44.1) | 487 (100.0) |
The structure of NSIs among the respondents due to the tool and the performed activity, N = 248
| Variable | |
|---|---|
| Medical tool | |
| Hollow-bore needle | 74 (29.8) |
| Suture needle | 41 (16.5) |
| Scalpel | 25 (10.1) |
| Cannula | 80 (32.3) |
| Others | 28 (11.3) |
| Total | 248 (100) |
| Performed activity | |
| Blood collection | 44 (17.7) |
| Injection | 31 (12.5) |
| Surgery | 35 (14.1) |
| Venipuncture | 82 (33.1) |
| Central puncture | 8 (3.2) |
| Recapping | 19 (7.7) |
| Others | 29 (11.7) |
| Total | 248 (100) |
Sharp injuries reporting related to the question whether the last incident of the NSI was registered, by profession, N = 248
| NSIs Reporting | Total (%) | ||
|---|---|---|---|
| No (%) | Yes (%) | ||
| Physicians | 26 (55.3) | 21 (44.7) | 47 (100.0) |
| Nurses | 48 (46.6) | 55 (53.4) | 103 (100.0) |
| Paramedics | 38 (38.8) | 60 (61.2) | 98 (100.0) |
| Total | 112 (45.2) | 136 (54.8) | 248 (100.0) |
Injury rates based on hospital registers and estimated injury rates, taking into account underreporting, in years 2010–2014, by profession
| Average number of HCWs in 252 hospitals tested | Average injury rate / 1000 HCWs | Average injury rate / 1000 HCWs having 45.2% of underreporting | |
|---|---|---|---|
| Physicians | 28,051 | 16.0 | 29.2 |
| Nurses | 64,806 | 20.5 | 37.4 |
| Paramedics | 3449 | 16.8 | 30.7 |
| Total (∑)/ average (x̅) | ∑ = 96,306 | x̅=19.0 | x̅=32.4 |