| Literature DB >> 30901370 |
Peter J Carr1,2,3, James C R Rippey2,3,4, Marie L Cooke2, Niall S Higgins2,5, Michelle L Trevenen6, Aileen Foale7, Gerben Keijzers8,9,10, Claire M Rickard2.
Abstract
BACKGROUND: It is well established that the idle peripheral intravenous catheter (PIVC) provides no therapeutic value and is a clinical, economic and above all, patient concern. This study aimed to develop a decision aid to assist with clinical decision making to promote clinically indicated peripheral intravenous catheter (CIPIVC) insertion in the emergency department (ED) setting. Providing evidence for a uniform process could assist clinicians in a decision-making process for PIVC insertion. This could enable patients receive appropriate vascular access healthcare.Entities:
Mesh:
Year: 2019 PMID: 30901370 PMCID: PMC6430401 DOI: 10.1371/journal.pone.0213923
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Overall patient characteristics and by CIPIVC insertion classification.
| CIPIVC Insertion | Overall (N = 817) | ||
|---|---|---|---|
| Yes (N = 553; 67.7%) | No (N = 264; 32.3%) | ||
| Male | 270 (70.0%) | 116 (30.0%) | 386 (47.3%) |
| Female | 283 (65.7%) | 148 (34.3%) | 431 (52.7%) |
| Years (Mean, SD) | 59.8 (22.6) | 60.8 (22.0) | 60.1 (22.4) |
| 1 - | 32 (82.1%) | 7 (17.9%) | 39 (4.8%) |
| 2 - | 185 (66.78%) | 92 (33.2%) | 277 (33.9%) |
| 3 - | 236 (69.6%) | 103 (30.4%) | 339 (41.5%) |
| 4 - | 97 (61.8%) | 60 (38.2%) | 157 (19.2%) |
| 5 - | 3 (60.0%) | 2 (40.0%) | 5 (0.6%) |
| Nurse | 44 (58.7%) | 31 (41.3%) | 75 (9.2%) |
| Med Student | 29 (69.1%) | 13 (30.9%) | 42 (5.1%) |
| Intern | 57 (63.3%) | 33 (36.7%) | 90 (11.0%) |
| RMO | 225 (65.6%) | 118 (34.4%) | 343 (42.0%) |
| Registrar | 93 (69.4%) | 41 (30.6%) | 134 (16.4%) |
| Consultant | 44 (80.0%) | 11 (20.0%) | 55 (6.7%) |
| US Consultant | 12 (92.3%) | 1 (7.7%) | 13 (1.6%) |
| Phlebotomist | 49 (75.4%) | 16 (24.6%) | 65 (8.0%) |
| <10 | 3 (50.0%) | 3 (50.0%) | 6 (0.7%) |
| 11–50 | 31 (66.0%) | 16 (34.0%) | 47 (5.8%) |
| 51–100 | 30 (60.0%) | 20 (40.0%) | 50 (6.1%) |
| 101–300 | 71 (69.6%) | 31 (30.4%) | 102 (12.5%) |
| 301–600 | 60 (61.9%) | 37 (38.1%) | 97 (11.9%) |
| 601–1000 | 85 (65.4%) | 45 (34.6%) | 130 (15.9%) |
| >1000 | 273 (70.9%) | 112 (29.1%) | 385 (47.1%) |
| Yes | 371 (78.4%) | 102 (21.6%) | 473 (57.9%) |
| No | 182 (52.9%) | 162 (47.1%) | 344 (42.1%) |
| Yes | 50 (90.9%) | 5 (9.1%) | 55 (6.7%) |
| No | 503 (66.0%) | 259 (34.0%) | 762 (93.3%) |
| Yes | 497 (66.4%) | 251 (33.6%) | 748 (91.56%) |
| No | 56 (81.2%) | 13 (18.8%) | 69 (8.4%) |
| Yes | 152 (54.7%) | 126 (45.3%) | 278 (34.0%) |
| No | 401 (74.4%) | 138 (25.6%) | 539 (66.0%) |
| Yes | 307 (88.5%) | 40 (11.5%) | 347 (42.5%) |
| No | 246 (52.3%) | 224 (47.7%) | 470 (57.5%) |
| Yes | 525 (100%) | 0 (0.00%) | 525 (64.3%) |
| No | 28 (9.59%) | 264 (90.4%) | 292 (35.7%) |
| Yes | 26 (56.5%) | 20 (43.5%) | 46 (5.6%) |
| No | 527 (68.4%) | 244 (31.6%) | 771 (94.4%) |
| Yes | 25 (80.7%) | 6 (19.35%) | 31 (3.8%) |
| No | 528 (67.2%) | 258 (32.82%) | 786 (96.2%) |
| No CT Scans | 368 (62.6%) | 220 (37.4%) | 588 (72.0%) |
| CT Non-Contrast | 69 (61.1%) | 44 (38.9%) | 113 (13.8%) |
| CT +Contrast | 116 (100%) | 0 (0.00%) | 116 (14.2%) |
| Yes | 9 (64.3%) | 5 (35.7%) | 14 (1.7%) |
| No | 544 (67.8%) | 259 (32.3%) | 803 (98.3%) |
| Yes | 12 (80.0%) | 3 (20.0%) | 15 (1.8%) |
| No | 541 (67.5%) | 261 (32.5%) | 802 (98.2%) |
| Yes | 82 (78.1%) | 23 (21.9%) | 105 (12.9%) |
| No | 471 (66.2%) | 241 (33.8%) | 712 (87.1%) |
| >80% | 405 (84.0%) | 77 (16.0%) | 482 (59.0%) |
| SCGH | 322 (71.1%) | 131 (28.9%) | 453 (55.5%) |
| FSH | 231 (63.5%) | 133 (36.5%) | 364 (44.5%) |
Standard deviation SD; computerised tomography CT; Intravenous therapy IVT; Sir Chares Gairdner Hospital SCGH; Fiona Stanley Hospital FSH; Ultrasound US
Univariate and multivariate logistic regression of whether the PIVC was used or not.
| UNIVARIATE | MULTIVARIATE | ||||
|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | P-value | |
| Female vs. Male | 0.82 | 0.61–1.10 | Not Significant | ||
| 1 vs. 5 | 3.05 | 0.43–21.79 | Not Significant | ||
| 2 vs. 5 | 1.34 | 0.22–8.16 | |||
| 3 vs. 5 | 1.53 | 0.25–9.28 | |||
| 4 vs. 5 | 1.08 | 0.18–6.64 | |||
| | 3.29 | 1.52–7.13 | Not Significant | ||
| Intern vs. Nurse | 1.22 | 0.65–2.28 | |||
| Med Student vs. Nurse | 1.57 | 0.71–3.50 | |||
| Phlebotomist vs. Nurse | 2.16 | 1.04–4.47 | |||
| RMO vs. Nurse | 1.34 | 0.81–2.24 | |||
| Registrar vs. Nurse | 1.60 | 0.89–2.88 | |||
| 301–1000 vs. <301 | 0.92 | 0.62–1.36 | Not Significant | ||
| >1000 vs. <301 | 1.26 | 0.88–1.82 | |||
| Yes vs. No | 3.24 | 2.39–4.39 | 3.05 | 2.17–4.30 | <0.0001 |
| Yes vs. No | 5.15 | 2.03–13.07 | 4.35 | 1.58–11.95 | 0.0043 |
| Yes vs. No | 0.46 | 0.25–0.86 | Not Significant | ||
| Yes vs. No | 0.42 | 0.31–0.56 | Not Significant | ||
| Yes vs. No | 6.99 | 4.80–10.18 | 3.30 | 2.02–5.39 | <0.0001 |
| Yes vs. No | 0.60 | 0.33–1.10 | Not Significant | ||
| Yes vs. No | 2.04 | 0.83–5.03 | 3.04 | 1.15–8.03 | 0.0250 |
| Yes vs. No | 0.86 | 0.28–2.58 | Not Significant | ||
| Yes vs. No | 1.93 | 0.54–6.90 | Not Significant | ||
| For a One Year Increase | 1.00 | 0.99–1.01 | Not Significant | ||
| >80% vs ≤80% | 6.65 | 4.80–9.20 | 3.16 | 2.06–4.87 | <0.0001 |
| Yes vs. No | 1.82 | 1.12–2.97 | Not Significant | ||
| FSH vs. SCGH | 0.71 | 0.53–0.95 | Not Significant | ||
*Combined consultants and ultrasound accredited consultants.
Standard deviation SD; computerised tomography CT; Intravenous therapy IVT; Sir Chares Gairdner Hospital SCGH; Fiona Stanley Hospital FSH, RMO Resident medical officer
Fig 1Receiver operator characteristic curve of the final multivariate model.
The A-PIVC decision aid to support CIPIVC use.