| Literature DB >> 26507648 |
Fabrice Dami1,2, Christel Golay3, Mathieu Pasquier4, Vincent Fuchs5, Pierre-Nicolas Carron6, Olivier Hugli7.
Abstract
BACKGROUND: Priority dispatch accuracy is a key issue in optimizing the match between patients' medical needs and pre-hospital resources. This study measures the accuracy of a Criteria Based Dispatch (CBD) system, by evaluating discrepancies between dispatch priorities and ambulance crews' severity evaluations.Entities:
Mesh:
Year: 2015 PMID: 26507648 PMCID: PMC4624668 DOI: 10.1186/s12873-015-0058-x
Source DB: PubMed Journal: BMC Emerg Med ISSN: 1471-227X
Fig. 1National Advisory Committee for Aeronautics (NACA) score revised by the State of Vaud, Switzerland (2005)
Fig. 2Flow chart
Priority dispatch and NACA score
| Missions | Total [ | P1 [ | P2 [ | P3 [ | Correct correlation [ |
|---|---|---|---|---|---|
| NACA 0 | 332 (1.2) | 184 (55.4) | 128 (38.6) | 20 (6.0) | 148 (44.6) |
| NACA 1 | 1’247 (4.5) | 830 (66.5) | 371 (29.8) | 46 (3.7) | 417 (33.4) |
| NACA 2 | 7’122 (25.6) | 4’285 (60.2) | 2’228 (31.3) | 609 (8.5) | 2’837 (39.8) |
| NACA 3 | 15’208 (54.5) | 7’034 (46.2) | 5’290 (34.8) | 2’884 (19.0) | 8’174 (53.7) |
| NACA 4 | 2’480 (8.9) | 2’034 (82.0) | 376 (15.2) | 70 (2.8) | 2’034 (82.0) |
| NACA 5 | 867 (3.1) | 767 (88.5) | 79 (9.1) | 21 (2.4) | 767 (88.5) |
| NACA 6 | 203 (0.7) | 196 (96.5) | 5 (2.5) | 2 (1.0) | 196 (96.6) |
| NACA 7 | 427 (1.5) | 419 (98.1) | 7 (1.7) | 1 (0.2) | 419 (98.1) |
| Total | 27’886 (100) | 15’749 (56.5) | 8’484 (30.4) | 3’653 (13.1) | 14’992 (53.8) |
OVER TRIAGE = P1 dispatch with NACA <4 (false positive) / all P1 dispatch (false positive + true positive) = 12’333/15’749 = 78 %
UNDER TRIAGE = P2 or P3 dispatch with NACA >3 (false negative) / all P2 or P3 dispatch (false negative + true negative) = 561/12’137 = 4.6 %
Sensitivity was calculated as true positives/(true positives + false negatives); specificity, as true negatives/(false positives + true negatives)
Positive predictive value (PPV) was calculated as true positives/(true positives + false positives); negative predictive value (NPV), as true negatives/(true negatives + false negatives)
Sensibility = TP / (TP + FN) = 86 % = 95 % CI (85.6–86.4)
Specificity = FN / (FN + FP) = 48 % = 95 % CI (47.4–48.6)
PPV = TP/(TP + FP) = 21.7 % = 95%CI (21.2–22.2)
NPV = TN/(TN + FN) = 95.4 % = 95 % CI (95.2–95.6)
Keywords used in 2011
| Keyword | Missions [ |
|---|---|
| Undefined problem | 16’739 (60.1) |
| Public place | 3255 (11.7) |
| Dyspnoea | 1’807 (6.4) |
| Disturbance of consciousness | 1’768 (6.3) |
| Chest pain | 1’449 (5.2) |
| Unconscious | 1’364 (4.9) |
| Acute stroke < 5 h | 428 (1.5) |
| Child (accident) | 373 (1.3) |
| Intoxication | 169 (0.6) |
| Child (dyspnoea) | 98 (0.4) |
| Hypotension (symptomatic) | 70 (0.3) |
| Fall above 3 m | 60 (0.2) |
| Penetrating injury | 46 (0.2) |
| Delivery (imminent) | 45 (0.2) |
| Incarcerated | 42 (0.2) |
| Prevention (fire) | 35 (0.1) |
| Fall above 5 m | 34 (0.1) |
| Impossible access for ambulance (mountains) | 25 (0.1) |
| Demand from on-call physician | 15 (0.1) |
| Burns (limited) | 14 (0.1) |
| Child (unconscious) | 9 (0.0) |
| Limb’s amputation | 8 (0.0) |
| Burns (extensive, >10 %) | 6 (0.0) |
| Drowning | 6 (0.0) |
| Ejected | 5 (0.0) |
| Para/tetraplegia | 4 (0.0) |
| Car accident (>3 patients) | 3 (0.0) |
| Explosion | 2 (0.0) |
| Electrocution | 2 (0.0) |
| Anaphylactic reaction | 2 (0.0) |
| Diving accident | 2 (0.0) |
| Accident in a tunnel | 1 (0.0) |
| TOTAL | 27’886 (100) |
Over triage by keywords
| Total [ | NACA 0 [ | NACA 1 [ | NACA 2 [ | NACA 3 [ | |
|---|---|---|---|---|---|
| N (P1 over triage) | 12’333 (100) | 184 (1.5) | 830 (6.7) | 4’285 (34.8) | 7’034 (57.0) |
| Undefined problem | 4’676 (37.9) | 71 | 325 | 1’640 | 2’640 |
| Public place | 2’847 (23.1) | 53 | 226 | 1’289 | 1’279 |
| Disturbance of consciousness | 1’353 (11.0) | 24 | 93 | 407 | 829 |
| Chest pain | 947 (7.7) | 4 | 26 | 220 | 697 |
| Dyspnoea | 894 (7.3) | 11 | 67 | 243 | 573 |
| Unconscious | 676 (5.4) | 14 | 45 | 176 | 441 |
| Demand from on-call physician | 247 (2.0) | 1 | 5 | 45 | 196 |
| Others | 693 (5.6) | 6 | 43 | 265 | 379 |
Under triage by keywords
| Total [n (%)] | NACA 4 [n(%)] | NACA 5 [n(%)] | NACA 6 [n(%)] | NACA 7 [n(%)] | |
|---|---|---|---|---|---|
| N (P2 + P3 under triage) | 561 (100) | 446 (79.5) | 100 (17.8) | 7 (1.3) | 8 (1.4) |
| Undefined problem | 469 (83.6) | 377 | 80 | 7 | 5 |
| Dyspnoea | 54 (9.6) | 40 | 14 | 0 | 0 |
| Disturbance of consciousness | 21 (3.7) | 14 | 6 | 0 | 1 |
| Chest pain | 7 (1.2) | 7 | 0 | 0 | 0 |
| Public place | 4 (0.7) | 4 | 0 | 0 | 0 |
| Acute stroke | 2 (0.4) | 2 | 0 | 0 | 0 |
| Intoxication | 2 (0.4) | 2 | 0 | 0 | 0 |
| Prevention | 2 (0.4) | 0 | 0 | 0 | 2 |
Previous results on dispatch over and under triage
| Over triage | Under triage | Sensitivity | Specificity | PPV | NPV | |
|---|---|---|---|---|---|---|
| Criteria Based Dispatch | ||||||
| Korram-Manesh A, et al. [ | 73 % | 3.5 % | NA | NA | NA | NA |
| Ek B, et al. [ | NA | NA | 95.9 % | 15.4 % | 88.5 % | 29.1 % |
| Medical Priority Dispatch | ||||||
| Lu TC, et al. [ | 62.9 % | 8.1 % | NA | NA | NA | NA |
| Sporer KA, et al. [ | NA | NA | 84 % | 36 % | 84 % | 35 % |
| Feldman MJ, et al. [ | 34 % | 32 % | 68.2 % | 66.2 % | 80.3 % | 50.7 % |
| Neely KW, et al. [ | 29 % | 5.4 % | NA | NA | NA | NA |