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Available online 4 May 2026

Pediatric and neonatal transport from a secondary hospital: Vulnerabilities, inequities and areas of improvement

Transporte pediátrico y neonatal desde un hospital secundario: vulnerabilidades, desigualdades y áreas de mejora
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Patricia Musgo Balanaa, Claudia Rondón Martíneza, Belén Valles Fernándezb, Pablo del Villar Guerraa,
Corresponding author
pdelvillarguerra@gmail.com

Corresponding author.
a Servicio de Pediatría, Hospital El Bierzo, Ponferrada, León, Spain
b Unidad de Cuidados Avanzados, Hospital Covián, Arriondas, Spain
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Table 1. Epidemiological and clinical characteristics by diagnostic group.
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Table 2. Complications during transport and upon arrival at the receiving hospital, by diagnostic group.
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Dear Editor:

Specialized pediatric and neonatal interhospital transport (PNIHT) is crucial for ensuring the safety of critically ill patients, especially for hospitals without pediatric or neonatal intensive care units or pediatric surgery departments.1

Specialized teams significantly reduce mortality and complications during interhospital transport.2 However, Spain lacks universal coverage, with significant regional differences.1 In this context, several Spanish medical societies (SECIP, SENeo, SEUP, and SEMES) have issued recommendations for its development.

We conducted a retrospective observational and analytical study (2018–2023) with consecutive sampling to analyze the characteristics, interventions, and complications of all patients transported from a secondary hospital without a PNIHT.

The sample included all patients aged less than 15 years, without exclusion criteria, and the objective was to identify vulnerability profiles and areas of improvement. We reviewed health care records and transport reports and analyzed the data with R Studio 4.2.0 (significance: P < .05). The study was approved by the Ethics Committee (No. 24317).

There were a total of 363 transports: 60.3% involved male patients, and the median patient age was 4.8 years. Of all transports, 93.1% (n = 338) were urgent, one-third (33.8%) required a mobile ICU, and 84.6% (n = 307) were performed within 24 h of admission.

The distribution by diagnosis showed a predominance of surgical cases (54.3%), primarily on account of appendicitis, which partly explains the low overall complexity of the cohort. Neonatal (10.2%) and respiratory (8.8%) conditions were associated with the highest clinical vulnerability, with a higher proportion of these patients requiring respiratory support (59.5% and 78.1%, respectively, compared to 0% for surgical patients; P < .001), neurologic support (43.2% and 9.4% comparted to 0%; P < 0.001), and admission to intensive care (78.4% and 87.5% compared to 4.6%; P < .001) (Table 1). We found no significant seasonal differences (P = .186) (Tables 1 and 2).

Table 1.

Epidemiological and clinical characteristics by diagnostic group.

Clinical characteristics
Reason for transport, n (%)Total  Surgical  Neonatal  Respiratory  Neurologic  Other 
363 (100)  197 (54.3)  37 (10.2)  32 (8.8)  30 (8.3)  67 (18.5) 
Predominant disease (%)Acute appendicitis (62.8)Perinatal asphyxia  Severe bronchiolitis  Status epilepticus  Othera
(28.9)  (46.9)  (40) 
Demographic characteristics
Male sex, n (%)  219 (60.3)  128 (65)  26 (70.3)  20 (62.5)  15 (50)  30 (44.8)  P = .032 
Age in years, median (IQR)b  4.8 (1.8−9.2)  9.2 (7.1−11.8)  0.0 (0−0.1)  1.9 (0.8−7.5)  2.1 (0.8−5.4)  6.5 (3.2−10.1)  P < .001 
Transport characteristics
From emergency department, n (%)  166 (45.7)  139 (70. 6)  0 (0.0)  5 (15.6)  8 (26.7)  14 (20.9)  P < .001 
Urgent transport, n (%)  338 (93.1)  197 (100)  30 (81.1)  32 (100)  30 (100)  49 (73.1)  P < .001 
Mobile ICU, n (%)  123 (33.9)  0 (0.0)  37 (100)  32 (100)  30 (100)  49 (73.1)  P < .001 
Transport < 24 h of admission, n (%)  307 (84.6)  197 (100)  23 (62.2)  27 (84.4)  22 (73.3)  38 (56.7)  P < .001 
Temporal distribution
By year, n (%)              p = .245 
2018  53 (14.6)  31 (15.7)  4 (10.8)  4 (12.5)  3 (10)  11 (16.4)  – 
2019  55 (15.2)  18 (9.1)  7 (18.9)  8 (25)  6 (20)  16 (23.9)  – 
2020  64 (17.6)  38 (19.3)  8 (21.6)  3 (9.4)  5 (16.7)  10 (14.9)  – 
2021  61 (16.8)  34 (17.3)  4 (10.8)  8 (25)  5 (16.7)  10 (14.9)  – 
2022  61 (16.8)  31 (15.7)  7 (18.9)  3 (9.4)  4 (13.3)  16 (23.9)  – 
2023  69 (19.0)  45 (22.6)  7 (18.9)  6 (18.8)  7 (23.3)  4 (6.0)  – 
By season, n (%)c              P = .186 
Spring  93 (25.6)  52 (26.4)  11 (29.7)  5 (15.6)  7 (23.3)  18 (26.9)  – 
Summer  106 (29.2)  49 (24.9)  13 (35.1)  9 (28.1)  13 (43.3)  22 (32.8)  – 
Fall  78 (21.5)  47 (23.9)  8 (21.6)  7 (21.9)  4 (13.3)  12 (17.9)  – 
Winter  86 (23.7)  49 (24.8)  5 (13.5)  11 (34.4)  6 (20.0)  15 (22.4)  – 
By day of week, n (%)
Holidays/weekends  155 (42.7)  83 (42.1)  16 (43.2)  13 (40.6)  16 (53.3)  27 (40.3)  P = .682 
Pretransport support
Respiratory support, n (%)  58 (16.0)  0 (0.0)  22 (59.5)  25 (78.1)  7 (23.3)  4 (6.0)  P < .001 
Conventional oxygen therapy  21 (5.8)  0 (0.0)  2 (5.4)  14 (43.8)  2 (6.7)  3 (4.5)  – 
High-flow oxygen therapy  6 (1.7)  0 (0.0)  3 (8.1)  3 (9.4)  0 (0.0)  0 (0.0)  – 
NIV  15 (6.9)  0 (0.0)  8 (21.6)  7 (21.9)  0 (0.0)  0 (0.0)  – 
IMV  16 (4.4)  0 (0.0)  9 (24.3)  1 (3.1)  5 (16.7)  1 (1.5)  – 
Neurologic support, n (%)  31 (8.5)  0 (0.0)  16 (43.2)  3 (9.4)  11 (36.7)  1 (1.5)  P < .001 
Passive cooling  10 (2.8)  0 (0.0)  10 (27.0)  0 (0.0)  0 (0.0)  0 (0.0)  – 
Anticonvulsants  13 (3.6)  0 (0.0)  3 (8.1)  0 (0.0)  10 (33.3)  0 (0.0)  – 
Sedation/analgesia  6 (1.7)  0 (0.0)  3 (8.1)  2 (6.3)  1 (3.3)  0 (0.0)  – 
PCAC  2 (0.6)  0 (0.0)  0 (0.0)  1 (3.1)  0 (0.0)  0 (0.0)  – 
Hemodynamic support, n (%)  7 (1.9)  0 (0.0)  3 (8.1)  0 (0.0)  4 (13.3)  0 (0.0)  P < .001 
Prostaglandins  1 (0.3)  0 (0.0)  1 (2.7)  0 (0.0)  0 (0.0)  0 (0.0)  – 
Dopamine  2 (0.6)  0 (0.0)  2 (5.4)  0 (0.0)  0 (0.0)  0 (0.0)  – 
Dopamine + dobutamine  4 (57.2)  0 (0.0)  0 (0.0)  0 (0.0)  4 (13.3)  0 (0.0)  – 
Venous access, n (%)  324 (89.3)  180 (91.4)  32 (86.5)  30 (93.8)  23 (76.7)  17 (25.4)  P < .001 
Peripheral  306 (84.3)  180 (91.4)  25 (68.6)  30 (93.4)  22 (73.3)  15 (22.4)  – 
Central/PICCd  18 (5.0)  0 (0.0)  7 (18.9)  0 (0.0)  1 (3.3)  10 (14.9)  – 
Final destination               
PICU/NICU, n (%)  104 (28.7)  9 (4.6)  29 (78.4)  28 (87.5)  18 (60)  20 (29.9)  P < .001 

Methodological note: The statistical comparisons are exploratory and aim to identify patterns of vulnerability rather than causal associations. No exclusion criteria were applied to reflect real-world clinical practice in patient transport.

Abbreviations: ICU, intensive care unit; IMV, invasive mechanical ventilation; NICU, neonatal intensive care unit; NIV, noninvasive ventilation; PCAC, post-cardiac arrest care; PICC, peripherally inserted central catheter; PICU, pediatric intensive care unit.

a

Others include: infectious (n = 17), hematological and oncological (n = 17), endocrine and metabolic (n = 8), psychiatric (n = 6), cardiovascular (n = 5), gastrointestinal (n = 4), renal and urinary (n = 1), miscellaneous (n = 9).

b

The distribution of patients by age group showed that 10.2% (n = 37) were neonates, 23.7% (n = 86) infants (1–24 months), 31.4% (n = 114) preschool-aged children (2–5 years), 24.5% (n = 89) school-aged children (6–11 years), and 10.2% (n = 37) adolescents (12–14 years).

c

Cold vs warm seasons: 56.3% vs 43.7% (P =  .077).

d

Includes PICC, umbilical central line, and intraosseous line.

Table 2.

Complications during transport and upon arrival at the receiving hospital, by diagnostic group.

Type of complication, n (%)  Neonatal (n = 37)  Respiratory (n = 32)  Neurologic (n = 30)  Othera (n = 200)  Total (n = 299bP 
Respiratory  3 (8.1)  7 (21.9)  1 (3.3)  1 (0.5)  12 (60)  <.001 
Respiratory acidosisc  2 (5.4)  7 (21.9)  0 (0.0)  1 (0.5)  10 (83.3)  – 
Accidental extubation  1 (2.7)  0 (0.0)  1 (3.3)  0 (0.0)  2 (16.7)  – 
Altered level of consciousness  1 (2.7)  0 (0.0)  1 (3.3)  0 (0.0)  2 (0.7)  .083 
Hemodynamic  1 (2.7)  0 (0.0)  0 (0.0)  1 (0.5)  2 (0.7)  .344 
Changes in temperatured  3 (8.1)  0 (0.0)  0 (0.0)  0 (0.0)  3 (1)  < .001 
Loss of venous access  0 (0.0)  0 (0.0)  0 (0.0)  1 (0.5)  1 (0.3)  .740 
Total patients with complications  5 (13.5)  7 (21.8)  2 (6.7)  3 (1.5)  17 (5.7)  <.001 
Total complications  20 (6.7%)  – 

Methodological note:

a) Given the low incidence of individual events, statistical comparisons were limited to overall complication rates.

b) Definition of complication: adverse event occurring during transport or objectively measurable clinical deterioration within 24 h of arrival to the receiving hospital compared to pretransport status, including respiratory, cardiovascular, neurological, body temperature, and technical complications, using a methodology adapted from previous studies on pediatric transport.2,3.

c) The rates were calculated based on the 299 patients with arrival data. Since some patients experienced more than one event, the number of complications (20) exceeds the number of affected patients (17).

d) Biochemical complications (respiratory acidosis) were confirmed by comparing blood gas analysis results obtained before transport and upon arrival at the receiving facility. No cardiopulmonary resuscitation maneuvers, intubations, ventilatory adjustments, venous catheterizations, or administration of critical medications were recorded during transport; documented therapeutic escalations (adjustment of respiratory support, vasoactive drugs, temperature correction) were performed after arrival at the receiving facility.

e) The high proportion of transports for appendicitis (≈124/363) reduced the average complexity of the sample, which may indicate appropriate pretransport management. However, it is important to note that more than half of the urgent transports were for acute appendicitis, a condition that generally does not require specialized care during transport, which artificially lowers the overall complication rate and concentrates morbidity in a small but clinically fragile subgroup of patients.

a

Others include: surgical (n = 136), infectious (n = 17), hematological and oncological (n = 17), endocrine and metabolic (n = 8), psychiatric (n = 6), cardiovascular (n = 5), gastrointestinal (n = 4), renal and urological (n = 1), miscellaneous (n = 6).

b

Analysis of 299 out of 363 transports with complete transport data after arrival at the receiving facility. A total of 20 complications were recorded in 17 patients (17 out of 299 = 5.7% of patients; 20 out of 299 = 6.7% of complications).

c

pH < 7.35 or pCO2 > 45 mmHg on arrival compared to pretransport levels, and/or defined as a decrease in pH of >0.1 units or an increase in pCO2 of >10 mmHg when comparing pretransport blood gas values to those on arrival.

d

Includes unintentional rewarming (n = 2) in patients with prior passive hypothermia, and unplanned cooling (n = 1).

The incidence of complications was 5.7%, higher compared to specialized transport systems (1.6%–2.1%).2–5 However, direct comparison is limited by methodological and population differences. Newborns (13.5%) and respiratory patients (21.9%) were the groups at highest risk (P < .05), consistent with other studies.3 The observational design and the lack of risk-adjusted analyses precluded inferences of causality. However, the consistent clustering of complications in newborns and respiratory patients supports the biological plausibility of these findings. There were no deaths during transport or in the 24 h after.

Stabilization at the sending hospital is key to ensuring safe transport. In our hospital, initial stabilization and escalation of respiratory support were performed either before the arrival of the medical emergency team or upon arrival at the receiving hospital, which could contribute to higher rates of complications in neonatal and respiratory patients, although studies with control groups would be required to make a direct comparison. These findings are consistent with other studies, which identify them as the most vulnerable3 and likely to benefit from specialized transport.

Established systems such as CATS (United Kingdom) and NETS (Australia) have been found to improve safety and standardization of NPIHT following their implementation.2,4,5 In Spain, the Catalan model, among others, has made progress in this area, and positive clinical results have been reported.1,3

Based on this evidence, we propose three potential priorities for local improvement:

  • 1

    Strengthen protocolization and team training at sending hospitals in patient stabilization and communication with receiving hospitals.

  • 2

    Improve regional coordination through health care networks that optimize time and resources.

  • 3

    Establish registers and shared indicators to enable ongoing evaluation and interregional comparisons.

Although our study was conducted in a single center, it provides recent data that is representative of the situation in many secondary hospitals in Spain.

Three decades after Rubio Quiñones et al. described these structural deficiencies in transport,6 the inequalities persist and the standardization of PNIHT is still pending. Our findings indicate the need to improve early identification and initial stabilization of high-risk patients, as well as to establish standardized registries that would allow for the evaluation of the safety of PNIHT in different clinical scenarios.

In Spain, the differences between autonomous communities call for organizational models tailored to each region, achieved through coordination among emergency services, tertiary hospitals, and health authorities. Ensuring safe and equitable critical care transport should be a priority for the National Health System. These findings underscore the need to reduce regional variability in pediatric transport. This is supported by the scientific evidence1–5: The outstanding debt owed to critically ill pediatric patients in Spain should be settled without further delay; today may be the time to move from diagnosis to action.

In conclusion, this study highlights the vulnerability of certain patients and supports the need to improve initial stabilization and coordination of sending teams. The creation of PNIHT networks would provide an opportunity to improve critical pediatric care in Spain.

Funding

This research did not receive any external funding.

References
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N. Millán García Del Real, L. Sánchez García, Y. Ballesteros Diez, R. Rodríguez Merlo, A. Salas Ballestín, R. Jordán Lucas, et al.
Importance of specialized paediatric and neonatal transport. Current situation in Spain: towards a more equitable and universal future.
An Pediatr (Engl Ed), 95 (2021), pp. 485.e1-485.e10
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P. Ramnarayan, K. Thiru, R.C. Parslow, D.A. Harrison, E.S. Draper, K.M. Rowan.
Effect of specialist retrieval teams on outcomes in children admitted to paediatric intensive care units in England and Wales: a retrospective cohort study.
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P. Corniero, M. Girona-Alarcón, C. Alejandre, R. Campos, N. Millán García Del Real, E. Esteban.
Assessment of patient safety during interfacility transport.
An Pediatr (Engl Ed), 102 (2025),
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P. Ramnarayan, K. Dimitriades, L. Freeburn, A. Kashyap, M. Dixon, P.W. Barry, et al.
Interhospital transport of critically ill children to PICUs in the United Kingdom and Republic of Ireland: analysis of an international dataset.
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F. Rubio Quiñones, A. Hernández González, S. Quintero Otero, J. Pérez Ruiz, C. Ruiz Ruiz, A. Seidel, et al.
Valoración de 200 traslados de niños críticos en una Unidad de Cuidados Intensivos Pediátricos.
An Esp Pediatr, 45 (1996), pp. 249-252

Previous presentation: This study was presented as an oral communication at the XXXV Guillermo Arce and Ernesto Sánchez Villares Memorial Conference of the SCCALP, November, 2024; Salamanca, Spain; and as a poster at the XXX Congress of Neonatology and Perinatal Medicine; October 2025; Las Palmas de Gran Canaria, Spain.

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