| Literature DB >> 31709211 |
Martin Poryo1, Martin Burger2, Stefan Wagenpfeil3, Bennet Ziegler4, Harald Sauer1, Marina Flotats-Bastardas5, Ulrich Grundmann6, Michael Zemlin7, Sascha Meyer7.
Abstract
Aim: To provide data on the inadequate use of emergency medical transports services (EMTS) in children and underlying contributing factors.Entities:
Keywords: ambulance; emergency medical transport service; misuse; pediatric emergency; public health
Year: 2019 PMID: 31709211 PMCID: PMC6823188 DOI: 10.3389/fped.2019.00442
Source DB: PubMed Journal: Front Pediatr ISSN: 2296-2360 Impact factor: 3.418
Figure 1STROBE flowchart.
Affected organ system at admission by ambulance categorized by age.
| Central nervous system | 0 (0.0%) | 7 (16.3%) | 65 (34.9%) | 44 (29.7%) |
| Pulmonary | 0 (0.0%) | 7 (16.3%) | 35 (18.8%) | 11 (7.4%) |
| Cardiac | 0 (0.0%) | 1 (2.3%) | 13 (7.0%) | 35 (23.6%) |
| Gastrointestinal | 1 (50.0%) | 5 (11.6%) | 24 (12.9%) | 15 (10.1%) |
| Trauma | 1 (50.0%) | 14 (32.6%) | 32 (17.2%) | 3 (2.0%) |
| Intoxication | 0 (0.0%) | 2 (4.7%) | 8 (4.3%) | 29 (19.6%) |
| Others | 0 (0.0%) | 7 (16.3%) | 9 (4.8%) | 11 (7.4%) |
Data are presented as absolute numbers and percentages (brackets). Percentage refers to absolute numbers within the same line.
Evaluation of the medical necessity for EMTS (emergency medical transport service).
| Chief resident in pediatrics and pediatric emergency medicine ( | 147 (38.8%) | 223 (58.8%) | 9 (2.4%) |
| Pediatrician ( | 161 (42.5%) | 208 (54.9%) | 10 (2.6%) |
| Resident ( | 172 (45.5%) | 200 (52.7%) | 7 (1.8%) |
Data are presented as absolute number and percentages (brackets). Percentage refers to absolute numbers within the same line.
Duration of symptoms categorized by medically indicated, respectively, not indicated EMTS (emergency medical transport service).
| Acute | 126 (85.7%) | 158 (70.9%) |
| For several hours | 11 (7.5%) | 31 (13.9%) |
| For several days | 8 (5.4%) | 24 (10.8%) |
| For several weeks | 2 (1.4%) | 10 (4.5%) |
Data are presented as absolute numbers and percentages (brackets). Percentage refers to absolute numbers within the same group; in 9 patients definite medical assessment not possible.
Patients' characteristics.
| Male | 211 (55.7 %) | 86 (58.5 %) | 121 (54.3 %) | 4 (44.4 %) | 1.2 | 0.78–1.81 | 0.42 |
| Female | 168 (44.3 %) | 61 (41.5 %) | 102 (45.7 %) | 5 (55.6 %) | |||
| ≤28 days | 2 (0.5 %) | 0 (0.0 %) | 2 (0.9 %) | 0 (0.0 %) | 0.42 | ||
| 29 days−1 year | 43 (11.3 %) | 17 (11.6 %) | 25 (11.2 %) | 1 (11.1 %) | |||
| 1–12 years | 186 (49.1 %) | 79 (53.7 %) | 104 (46.6 %) | 3 (33.3 %) | |||
| 13–20 years | 148 (39.1 %) | 51 (34.7 %) | 92 (41.3 %) | 5 (55.6 %) | |||
| Ambulance | 279 (73.6 %) | 86 (58.5 %) | 185 (83.0 %) | 8 (88.9 %) | |||
| Emergency physician | 100 (26.4 %) | 61 (41.5 %) | 38 (17.0 %) | 1 (11.1 %) | |||
| Out-patient | 136 (35.9 %) | 27 (18.4 %) | 105 (47.1 %) | 4 (44.4 %) | |||
| In-patient | 243 (64.1 %) | 120 (81.6 %) | 118 (52.9 %) | 5 (55.6 %) | |||
| 8 a.m.−4 p.m. | 171 (45.1 %) | 64 (43.5 %) | 107 (48.0 %) | 0 (0.0 %) | 0.43 | ||
| 4–22 p.m. | 122 (32.2 %) | 45 (30.6 %) | 71 (31.8 %) | 6 (66.7 %) | |||
| 22 p.m.−8 a.m. | 86 (22.7 %) | 38 (25.9 %) | 45 (20.2 %) | 3 (33.3 %) | |||
| Workday | 254 (67.0 %) | 95 (64.6 %) | 154 (69.1 %) | 5 (55.6 %) | 1.2 | 0.79–1.89 | 0.37 |
| Weekend | 125 (33.0 %) | 52 (35.4 %) | 69 (30.9 %) | 4 (44.4 %) | |||
| January–March | 142 (37.5 %) | 43 (29.3 %) | 94 (42.2 %) | 5 (55.6 %) | 0.1 | ||
| April–June | 78 (20.6 %) | 35 (23.8 %) | 43 (19.3 %) | 0 (0.0 %) | |||
| July–September | 67 (17.7 %) | 30 (20.4 %) | 36 (16.1 %) | 1 (11.1 %) | |||
| October–December | 92 (24.3 %) | 39 (26.5 %) | 50 (22.4 %) | 3 (33.3 %) | |||
| Yes | 120 (31.7 %) | 48 (32.7 %) | 70 (31.4 %) | 2 (22.2. %) | 1.1 | 0.68–1.66 | 0.8 |
| No | 259 (68.3 %) | 99 (67.3 %) | 153 (68.6 %) | 7 (77.8 %) | |||
| Yes | 93 (24.5 %) | 39 (26.5 %) | 54 (24.2 %) | 0 (0.0 %) | 1.1 | 0.70–1.82 | 0.62 |
| No | 286 (75.5 %) | 108 (73.5 %) | 169 (75.8 %) | 9 (100 %) | |||
| Acute | 293 (77.3 %) | 126 (85.7 %) | 158 (70.9 %) | 9 (100 %) | |||
| Non-acute | 86 (22.7 %) | 21 (14.3 %) | 65 (29.1 %) | 0 (0.0 %) | |||
| Yes | 136 (35.9 %) | 45 (30.6 %) | 90 (40.4 %) | 1 (11.1 %) | 1.5 | 0.99–2.38 | 0.06 |
| No | 243 (64.1 %) | 102 (69.4 %) | 133 (59.6 %) | 8 (88.9 %) | |||
| Yes | 29 (7.7 %) | 12 (8.2 %) | 17 (7.6 %) | 0 (0.0 %) | 1.1 | 0.25–2.33 | 0.85 |
| No | 350 (92.3 %) | 135 (91.8 %) | 206 (92.4 %) | 9 (100 %) | |||
| Private setting | 220 (58.0 %) | 91 (61.9 %) | 123 (55.2 %) | 6 (66.7 %) | 0.3 | ||
| Public setting | 79 (20.8 %) | 30 (20.4 %) | 46 (20.6 %) | 3 (33.3 %) | |||
| Kindergarten/school | 80 (21.1 %) | 26 (17.7 %) | 54 (24.2 %) | 0 (0.0 %) | |||
Data are presented as absolute number and percentages (brackets). Percentage refers to absolute numbers within the same group.
OR, odds ratio.
95%-CI = 95%-confidence interval.
Binary logistic regression analysis was computed with the forward and backward method (Wald). In cases of conflicting results between the two methods, only results from backward computed logistic regression are reported.
Fisher's exact test if one of the expected cell frequencies was <5; Chi.
p-values <0.05 were considered statistical significant.
Significant values are indicated in bold.
Social characteristics of patients' families.
| 1 | 107 (28.2%) | 33 (22.4%) | 71 (31.8%) | 3 (33.3%) | 1.6 | 0.99–2.56 | 0.06 |
| ≥2 | 271 (71.7%) | 113 (76.9%) | 152 (68.2%) | 6 (66.7%) | |||
| Yes | 100 (26.6%) | 39 (26.7%) | 60 (27.1%) | 1 (11.1%) | 1 | 0.61–1.57 | 0.93 |
| No | 276 (73.4%) | 107 (73.3%) | 161 (72.9%) | 8 (88.9%) | |||
| Yes | 328 (86.8%) | 132 (90.4%) | 187 (83.9%) | 9 (100%) | 1.8 | 0.94–3.5 | 0.08 |
| No | 50 (13.2%) | 14 (9.6%) | 36 (16.1%) | 0 (0.0%) | |||
| Yes | 170 (46.1%) | 78 (53.4%) | 88 (40.9%) | 4 (50.0%) | |||
| No | 199 (53.9%) | 68 (46.6%) | 127 (59.1%) | 4 (50.0%) | |||
| Yes | 351 (92.6%) | 138 (93.9%) | 205 (91.9%) | 8 (88.9%) | 1.3 | 0.59–3.08 | 0.48 |
| No | 28 (7.4%) | 9 (6.1%) | 18 (8.1%) | 1 (11.1%) | |||
| Yes | 213 (56.3%) | 95 (64.6%) | 115 (51.8%) | 3 (33.3%) | |||
| No | 165 (43.7%) | 52 (35.4%) | 107 (48.2%) | 6 (66.7%) | |||
| 2 | 93 (24.6%) | 28 (19.0%) | 62 (28.1%) | 3 (33.3%) | 0.08 | ||
| 3 | 25 (6.6%) | 6 (4.1%) | 18 (8.1%) | 1 (11.1%) | |||
| 4 | 14 (3.7%) | 4 (2.7%) | 9 (4.1%) | 1 (11.1%) | |||
| >4 | 30 (7.9%) | 13 (8.8%) | 16 (7.2%) | 1 (11.1%) | |||
| Yes | 48 (12.7%) | 21 (14.3%) | 27 (12.2%) | 0 (0.0%) | 1.2 | 0.65–2.22 | 0.55 |
| No | 330 (87.3%) | 126 (85.7%) | 195 (87.8%) | 9 (100%) | |||
| Low | 103 (31.3%) | 28 (22.0%) | 73 (37.4%) | 2 (28.6%) | |||
| Middle | 182 (55.3%) | 78 (61.4%) | 100 (51.3%) | 4 (57.1%) | |||
| High | 44 (13.4%) | 21 (16.5%) | 22 (11.3%) | 1 (14.3%) | |||
| Low | 113 (35.2%) | 30 (24.6%) | 81 (42.4%) | 2 (25.0%) | |||
| Middle | 153 (47.7%) | 66 (54.1%) | 82 (42.9%) | 5 (62.5%) | |||
| High | 55 (17.1%) | 26 (21.3%) | 28 (14.7%) | 1 (12.5%) | |||
| Unskilled | 53 (14.0%) | 19 (12.9%) | 34 (15.2%) | 0 (0.0%) | 0.42 | ||
| Skilled | 207 (54.6%) | 87 (59.2%) | 114 (51.1%) | 6 (66.7%) | |||
| Highly skilled | 26 (6.9%) | 10 (6.8%) | 14 (6.3%) | 2 (22.2%) | |||
| Others | 93 (24.5%) | 31 (21.1%) | 61 (27.4%) | 1 (11.1%) | |||
| Unskilled | 53 (14.0%) | 19 (12.9%) | 34 (15.2%) | 0 (0.0%) | 0.46 | ||
| Skilled | 225 (59.4%) | 93 (63.3%) | 126 (56.5%) | 6 (66.7%) | |||
| Highly skilled | 35 (9.2%) | 14 (9.5%) | 19 (8.5%) | 2 (22.2%) | |||
| Others | 66 (17.4%) | 21 (14.3%) | 44 (19.7%) | 1 (11.1%) | |||
| <40 years | 199 (53.2%) | 82 (56.2%) | 114 (52.1%) | 3 (33.3%) | 0.74 | ||
| 40–60 years | 173 (46.3%) | 63 (43.2%) | 104 (47.5%) | 6 (66.7%) | |||
| >60 years | 2 (0.5%) | 1 (0.7%) | 1 (0.5%) | 0 (0.0%) | |||
| <40 years | 156 (42.6%) | 60 (41.7%) | 93 (43.5%) | 3 (37.5%) | 0.67 | ||
| 40–60 years | 201 (54.9%) | 79 (54.9%) | 117 (54.7%) | 5 (62.5%) | |||
| >60 years | 9 (2.5%) | 5 (3.5%) | 4 (1.9%) | 0 (0.0%) | |||
Data are presented as absolute numbers and percentages (brackets). Percentage refers to absolute numbers within the same group.
OR, odds ratio.
95%-CI = 95%-confidence interval.
Binary logistic regression analysis was computed with the forward and backward method (Wald). In cases of conflicting results between the two methods, only results from backward computed logistic regression are reported.
Fisher's exact test if one of the expected cell frequencies was <5; Chi.
p-values <0.05 were considered statistical significant.
Significant values are indicated in bold.