Critical Care Transport Nurses Day 2026
Treat every high-acuity transfer as a governed clinical service, not a gap between care settings.
The transport environment is an extension of critical care.
Recognition is meaningful when the organization strengthens the conditions in which transport nurses make high-consequence decisions.
A critically ill patient does not become less complex when a vehicle moves, an elevator closes, or a receiving bed is several miles away. The clinical system becomes more constrained. Space narrows, equipment must be portable, access to additional staff changes, environmental forces affect care, and every unresolved ambiguity travels with the patient.
Critical care transport nurses work where bedside expertise, logistics, emergency readiness, and cross-organizational coordination meet. Their practice can include ground, rotor-wing, fixed-wing, intrahospital, interfacility, pediatric, neonatal, adult, military, and specialty retrieval contexts. The work differs across those environments, but the executive obligation is consistent: the mission should begin only when patient need is matched to an accountable team, a verified capability set, a receiving destination, and a contingency plan.
Recent evidence reinforces the value of deliberate matching. Nurse use of a pediatric interhospital triage scale showed strong agreement with physician decisions in simulated cases, especially for severe scenarios. A national UK survey found advanced clinical practitioners leading meaningful proportions of pediatric retrievals, while military readiness studies linked performance to specialty, sustainment training, and deployment experience. These findings do not support one universal staffing formula. They support a governed capability matrix that defines who can accept which mission, under what medical oversight, with what equipment and escalation support.3, 9, 11, 16
The same principle applies to preparation. A transport vehicle can pass a shift checklist while a specific mission remains unsafe. Readiness is patient-specific. It includes current physiology, likely deterioration, airway and ventilation needs, medications and infusions, vascular access, monitoring, infection precautions, weight and size, equipment power, oxygen duration, route conditions, communications, destination capability, and the point at which the receiving team assumes ownership.
Nursing research describes meticulous preparation, practical routines, training, and post-incident discussion as central to safer intrahospital transport. Studies of nurses’ knowledge, attitudes, and practice also show that positive attitudes alone do not establish competence. Leaders need repeatable education, supervised practice, direct observation, scenario-based assessment, and reliable access to job aids. A signed education roster is an input, not proof that the team can respond to a ventilator problem, medication interruption, line disconnection, sudden hypotension, or an unavailable destination.12, 13, 14
Select one high-risk mission class and verify the complete route from request through accepted bedside handoff. Record where ownership, capability, equipment, communication, or learning becomes unreliable.
ASTNA states that Critical Care Transport Nurses Day is celebrated annually on February 18.
BCEN marked the 20th anniversary of the CTRN ground-transport nursing certification in 2026.
BCEN reported 676 nurses holding the CTRN credential on March 1, 2026. This is not the total transport nursing workforce.
Executives should also distinguish professional recognition from a marketing message. The day is an opportunity to thank transport nurses, but gratitude should not substitute for safe staffing, fit-for-duty rules, equipment reliability, psychological safety, and influence over the policies that govern their work. A credible recognition message can name the nurse-led improvement being funded, the review mechanism being strengthened, or the barrier being removed.
Governance matters because transport decisions often cross reporting lines. The sending clinician may determine that transfer is necessary, the transfer center may secure destination acceptance, operations may assign a vehicle, a medical director may define scope and protocols, and the transport nurse may discover the final safety conflict at bedside. If the organization has not defined who can pause, redirect, or decline a mission, risk is pushed toward the person with the least organizational authority and the most immediate accountability.
A checklist study shows a signal, not a universal benchmark.
One quasi-experimental study provides compatible before-and-after counts for a transparent visual. Local teams should not adopt its rate as a target.
A 2026 single-site study evaluated a newly developed intrahospital transport checklist with ICU nurses. Thirty transport cases were reviewed before implementation and 30 after implementation. The authors reported patient-safety incidents related to events per transport in 20 of 30 pre-implementation cases and 9 of 30 post-implementation cases. Nursing performance scores also improved. The design is useful for illustrating how a structured tool can support practice, but it cannot isolate the checklist from other temporal, training, or observation effects.4
Transport cases with a reported patient-safety incident, before and after checklist implementation
| Period | Cases with incident | Reviewed transports | Rate | 95% Wilson CI | Method |
|---|---|---|---|---|---|
| Before checklist | 20 | 30 | 66.7% | 48.8% to 80.8% | One-group pretest-posttest review |
| After checklist | 9 | 30 | 30.0% | 16.7% to 47.9% | One-group pretest-posttest review |
Figure note. Unit: percentage of reviewed transports with a patient-safety incident. Population: 60 intrahospital transports in two ICUs at one tertiary hospital, 30 before and 30 after checklist implementation. Confidence intervals were calculated for this brief using the Wilson method from the published counts. Limitations include a single site, small samples, a nonrandomized pre-post design, possible observer and temporal effects, and no adjustment for case mix. The values are study findings, not a performance threshold. Source: Lee and Choi, 2026.4
The practical lesson is not “install a checklist and expect a 36.7 percentage-point reduction.” The lesson is to connect a checklist to the conditions that make it usable: a defined mission class, nurse input, accessible placement, time to complete it, authority to stop when a required element is missing, and review of exceptions. A tool that becomes another form to click through can conceal risk instead of controlling it.
Broader guideline evidence supports caution. A 2025 review identified nine guidelines and 23 recommendations, but methodological and reporting quality varied, and some recommendations were inconsistent. Transport programs should use professional and accreditation standards as a governance foundation, then test local workflows rather than presenting any checklist as universally validated across populations, settings, and modes.6
Run the mission as a closed clinical operation.
The proposed future-state flow begins with a complete request and ends only when bedside acceptance and learning are documented.
The flow below is a design proposal, not a claim about current practice. It names the accountable owner at each stage and makes the pause-or-escalate decision visible. The transport nurse is central, but no individual should be expected to compensate silently for missing destination acceptance, incompatible equipment, unclear medication orders, inadequate oxygen duration, or an unmatched crew. Proactive risk assessment research demonstrates the value of examining failures across the route before waiting for harm to occur.18
Future-state high-acuity transfer route
Request and classify
Capture acuity, therapies, isolation, patient size, destination, time sensitivity, and likely deterioration.
Owner: transfer centerAccept and match
Confirm receiving acceptance, crew scope, vehicle, equipment, medications, oxygen, and medical control.
Owner: clinical dispatchStabilize and verify
Complete bedside assessment, reconcile therapies, test equipment, secure lines, and agree on the deterioration plan.
Owner: transport nurseMove and escalate
Monitor trends, use closed-loop communication, document interventions, and activate medical control when thresholds are met.
Owner: mission leadAccept and learn
Transfer care at bedside, reconcile events and equipment, report defects, and assign follow-up actions.
Owner: receiving clinicianFigure note. This is a proposed future-state workflow. The decision between every stage is: proceed only when the required information, capability, and acceptance are present; otherwise correct, delay, redirect, or escalate through the defined command path. Local protocols, licensure, population, transport mode, and medical-control arrangements determine the final design. Sources informing the proposal include the guideline review, safety review, nurse-experience studies, and transport-team evidence in references 3, 6, 7, 12, 17, and 18.
Predeparture stabilization should not become a vague reason for delay, and speed should not become a reason to skip the capability match. The organization needs an agreed vocabulary. Delay caused by necessary airway stabilization is not operational failure. Delay caused by repeated incomplete requests, unavailable equipment, an unconfirmed bed, or ambiguity about the accepting clinician is a system defect. Recording cause codes helps leadership separate clinical work from avoidable waiting.
Line and device management deserves explicit attention. A 2026 study involving 142 progressive and intensive care patients reported fewer manual disconnections and better nurse perceptions of transport efficiency when a single-use securement device was used. The study is specific to one device and setting, so leaders should not generalize the product result without local evaluation. It does reinforce a wider point: line layout, visibility, securement, access, and contingency planning affect transport workload and risk.2
Continuous monitoring and early warning tools may add value, but they require governance. Pediatric transport research using 1,519 transports demonstrated data-driven detection of adverse respiratory and cardiovascular events and later developed interpretable prediction models with promising discrimination. These retrospective results are not authorization for autonomous clinical decisions. Before deployment, leaders would need external validation, workflow integration, false-alert analysis, data governance, human-factors testing, and clear accountability for response.1, 5
Review the conditions around a transport defect.
The categories are deliberately unranked. They organize inquiry without inventing frequencies or assigning blame.
A transport event may appear to have one immediate cause, such as a depleted oxygen cylinder, a line disconnection, or an incomplete handoff. A useful review asks what made that failure possible. Was the patient’s need classified correctly? Did dispatch have the information required to match capability? Was replacement equipment available? Were the sending and receiving teams using the same medication concentration? Could the crew reach medical control? Did workload or fatigue make a normal workaround feel necessary?
Unranked contributors to unreliable critical care transport
Patient and clinical plan
Acuity, deterioration risk, airway, ventilation, hemodynamics, medications, access, isolation, and stabilization thresholds.
People and capability
Credentials, scope, supervision, team familiarity, current competence, workload, fatigue, and psychological safety.
Equipment and supplies
Compatibility, battery, oxygen duration, line securement, medication availability, redundancy, maintenance, and loading.
Communication and handoff
Request completeness, destination acceptance, medical-control access, closed-loop communication, and bedside acknowledgment.
Environment and route
Weather, vibration, altitude, traffic, distance, access constraints, infection precautions, and destination conditions.
Governance and learning
Policies, authority to pause, event reporting, review timeliness, ownership, feedback, action closure, and standard revision.
Figure note. Qualitative, unranked cause categories. The display does not estimate prevalence, severity, or causal weight. Teams should populate it with local evidence from case review, observation, equipment logs, staff interviews, and patient or family feedback. Sources informing the categories include references 2, 6, 7, 8, 12, 13, 15, and 18.
Human factors should be examined without assuming that vigilance is the only control. A review of error traps in the transport of critically ill and anesthetized children and a simulated military air-transport study of medication-related error traps both support closer attention to interfaces, while other research examined workload, training frequency, and provider experience. The transport setting magnifies packaging, labels, lighting, noise, constrained access, vibration, protective equipment, and communication, which may change how reliably a familiar clinical task is performed.7, 9, 15
Fatigue and recovery should sit inside the same system review. Transport programs often manage long shifts, overnight missions, unpredictable return times, weather holds, and emotionally intense events. A fitness-for-duty policy is credible only if staff can use it without retaliation and if operations have a realistic plan for replacement coverage. Leaders should monitor schedule patterns and listen for signs that people are routinely stretching beyond the written rule to keep the service running.
Give the transport program a visible clinical hub.
The hub coordinates accountable interfaces. It does not absorb responsibility that belongs to sending, receiving, operational, or executive leaders.
High reliability requires more than a skilled crew. It requires a service architecture that connects bedside decisions to dispatch, medical control, supply chain, maintenance, pharmacy, respiratory therapy, infection prevention, receiving services, safety, and executive oversight. When those interfaces are informal, the transport nurse becomes the organization’s last-minute integrator.
Central transport clinical hub and accountable interfaces
Transport clinical hub
Owns mission classification, capability matching, operational command, medical-control access, exception visibility, and closed-loop learning.
Sending service
Accountable for clinical summary, stabilization, orders, access, therapies, specimens, records, and transfer readiness.
Receiving service
Accountable for destination capability, named acceptance, arrival readiness, bedside handoff, and unresolved-risk ownership.
Operations and logistics
Accountable for vehicle, crew availability, route, communications, fuel, oxygen, equipment, maintenance, and contingencies.
Clinical support
Pharmacy, respiratory therapy, infection prevention, blood bank, biomedical engineering, and other mission-specific resources.
Quality and safety
Accountable for reporting access, just review, trend analysis, action tracking, policy updates, and feedback to frontline teams.
Executive sponsor
Accountable for risk acceptance, resources, cross-organizational agreements, workforce conditions, and unresolved barriers.
Figure note. Proposed governance model. Lines of authority, licensure, medical control, transfer agreements, transport mode, and clinical scope must be adapted locally. The central hub coordinates rather than replaces the accountability of its interfaces. Sources informing the model include CAMTS standards and references 6, 8, 9, 11, 16, and 18.
Credentialing and competency should be tied to mission classes. BCEN’s CTRN program recognizes critical care ground transport as a specialty, and ASTNA provides profession-specific resources. Certification can support a competency framework, but certification status alone should not be treated as a complete local privilege. Programs still need population-specific orientation, equipment proficiency, medication and blood-product training, supervised missions, continuing education, and reassessment.
Prehospital transfusion illustrates the gap between having a program and evaluating its effect. A 2025 survey of seven Canadian critical care transport organizations found universal use of competency checklists but variation in training and recertification; no organization reported the highest evaluation level of tracking patient outcomes related to transfusion. The study is small and specific, yet the management lesson is widely applicable: education programs should define how learning, observed behavior, and clinical outcomes will be evaluated before training begins.8
Scope should also be reviewed as workforce models evolve. The UK survey of pediatric critical care transport services found advanced clinical practitioners in nine of 12 regional services, with substantial variation in the share of transfers they led. This is evidence of one national model, not a template for every jurisdiction. Leaders considering expanded roles should address education, supervision, medical governance, role clarity, workload, career development, and outcome monitoring together.11
Measure the mission without blaming the crew.
A useful dashboard connects process reliability, patient safety, workforce conditions, and learning.
Transport programs can generate abundant timestamps and still lack decision-ready information. A single average response time may mix urgent and nonurgent transfers, clinical stabilization and avoidable waiting, ground and air modes, short and long routes, or complete and incomplete requests. Measures should be stratified by mission class, patient population, origin, destination, time of day, route, and crew configuration when sample size and privacy allow.
Denominators must be defined before a target is chosen. “Handoff compliance” could mean a signed form, a complete set of fields, verbal acknowledgment, or observed transfer of critical information. “Equipment readiness” could mean a vehicle check at shift start or the patient-specific confirmation that power, oxygen, disposables, medication concentration, and interface compatibility meet the mission need. The distinction changes what the number means and which leader can act on it.
Candidate transport reliability measures for local definition
| Measure | Unit | Numerator and denominator | Owner | Cadence | Data source | Resources required | Limitations |
|---|---|---|---|---|---|---|---|
| Complete request before capability assignment | Percent | Requests with all locally required clinical and logistical fields / eligible requests reviewed | Transfer-center director | Weekly, reported monthly | Transfer-center record and audit | Field definitions, audit time, feedback loop | Documentation may not reflect verbal information; eligibility must be stable |
| Patient-specific capability match | Percent | Reviewed missions with documented crew, equipment, vehicle, and oversight match / reviewed missions | Transport clinical director | Monthly | Dispatch, clinical record, capability matrix | Mission taxonomy, reviewer training | Retrospective judgment; rare mission classes may have small samples |
| Predeparture exception resolution | Percent and count | Documented exceptions corrected or escalated before departure / predeparture exceptions identified | Mission operations lead | Weekly | Checklist, safety reports, dispatch notes | Nonpunitive reporting and clear escalation path | Depends on reporting culture; absence of reports is not proof of reliability |
| Delay by agreed cause | Minutes | Median and 90th percentile from ready-for-dispatch to departure, stratified by one primary cause code | Operations director | Monthly | Dispatch timestamps and validated cause code | Common time definitions, exception review | One cause may oversimplify complex delay; timestamps may be automatic or manual |
| Bedside handoff acceptance | Percent | Eligible missions with documented receiving-clinician acknowledgment / eligible completed missions | Nursing and receiving service | Monthly | Transport record and receiving acknowledgment | Shared handoff standard, observation sampling | A signature alone does not demonstrate information quality |
| Safety action closure | Percent and days | Assigned actions closed by due date / actions due; median days to verified closure | Quality and safety leader | Monthly | Safety system and action log | Named owners, due dates, validation standard | Closure can be administrative unless effectiveness is checked |
| Fit-for-duty escalation | Count and rate | Protected fatigue or workload escalations / staffed shifts or missions | Workforce and operations | Monthly | Scheduling and protected reports | Confidential route, replacement coverage | Low reporting may indicate fear rather than low risk; privacy is essential |
Figure note. These are proposed management measures, not external benchmarks. Each organization must define inclusion, exclusion, mission class, numerator, denominator, owner, data source, privacy protections, and action threshold. Stratification should be used only when sample size supports responsible interpretation. Sources informing the measurement structure include references 1, 5, 6, 8, 10, 17, 18, and 20.
Patient and family experience belongs on the dashboard. A UK study developed a nine-item experience measure from responses representing 1,798 pediatric critical care transport journeys. The tool is population-specific, but it demonstrates that experience can be measured rather than assumed. Local programs can ask whether families understood the reason for transfer, knew who was responsible, received updates, were treated respectfully, and understood what would happen at the destination.20
Risk scores can support structured assessment but should not become automatic transport decisions. Prospective research developed a five-variable intrahospital transport score with modest discrimination, and later cluster analysis proposed patient groupings associated with different adverse-event patterns. These studies may help local teams identify variables worth capturing, but transport mode, population, setting, and workflow differ. External validation and clinical governance are prerequisites for operational use.10, 17
Build readiness that survives the rare event.
Competence is perishable when missions are infrequent, technology changes, or clinicians spend limited time in high-acuity practice.
Design sustainment around risk
Use the mission inventory to identify low-frequency, high-consequence tasks. Examples may include transport ventilation, vasoactive infusions, blood products, invasive devices, pediatric weight-based dosing, specialty equipment, or deterioration in a constrained environment.
Readiness studies in critical care air transport found that prior deployment experience and aspects of clinical practice related to simulation performance. Another large study of 2,576 course surveys found differences in pass rates by professional group and associations with training frequency. The military context is not directly transferable to civilian programs, but the evidence supports recurring assessment rather than lifetime assumptions about competence.9, 16
Train the team, not only the individual
Transport failures can arise between roles even when each professional is technically skilled. Cross-sectional research on ICU nurses’ attitudes and experiences helps describe the practice conditions that training must address, but it does not establish that a particular training intervention improves outcomes. Programs should therefore test role clarity, communication, equipment setup, medication verification, and escalation under realistic constraints, then observe performance rather than relying on completion records.19
Debriefing should separate individual learning from system correction. If every scenario exposes the same missing connector, unclear medication label, or inaccessible policy, repeating the scenario without fixing the system transfers responsibility to the learner.
Protect speaking up
A transport nurse who pauses a mission for an unresolved risk is performing a safety function. Policies should define the stop condition, the escalation path, who adjudicates disagreement, how delay is documented, and how retaliation is prevented. Leaders should review pause events for system learning, not use them as evidence that the nurse lacked commitment.
Survey and qualitative studies of ICU and anesthesia nurses consistently emphasize preparation, routines, training, confidence, and the realities of high-risk transport. Leaders should include transport nurses when standards, equipment, staffing models, and post-event reviews are designed.12, 13
Keep clinical outcomes in context
Studies in military air transport have evaluated ventilation compliance and provider experience. One retrospective cohort did not find a relationship between mission count and lung-protective ventilation compliance after adjustment, but did identify other associations. That result warns against using volume alone as a competence proxy. Process compliance, patient mix, clinical specialty, training, documentation, and equipment all shape observed performance.15
A strong readiness program combines direct observation, simulation, clinical exposure, case review, and outcome monitoring rather than relying on a single count.
Strengthen one mission class in 90 days.
Choose a high-risk or high-volume route. Include frontline transport nurses from the first design session through the final decision.
The pilot should begin with a written scope. Define included missions, exclusions, the current baseline, readiness elements, delay definitions, handoff acceptance, reporting protections, data owner, and executive sponsor. If the organization cannot state what is being tested, it will be unable to interpret the result.
Ninety-day mission reliability pilot
| Workstream | Owner | Days 1–15 | Days 16–30 | Days 31–45 | Days 46–60 | Days 61–75 | Days 76–90 | Deliverable and dependency |
|---|---|---|---|---|---|---|---|---|
| Scope and baseline | Executive sponsor and quality | Define | Audit | Approved mission class, definitions, baseline; required before pilot | ||||
| Workflow and capability matrix | Transport clinical director | Map | Design | Gate | Future-state flow, stop rules, crew and equipment match | |||
| Tools and training | Education and operations | Build | Test | Launch | Checklist, job aids, scenarios; depends on approved flow | |||
| Limited pilot | Frontline nurse lead | Start | Run | Run | Weekly exception review and rapid correction | |||
| Measurement and learning | Quality analyst | Specify | Validate | Monitor | Monitor | Analyze | Gate | Decision-ready results, limitations, action log |
| Adopt, revise, or stop | Executive review group | Decide | Documented decision, owner, next review date |
Figure note. Proposed timeline. Review gates occur after future-state design and at day 90. Dependencies are explicit: training follows workflow approval; the pilot follows tool testing; the final decision follows analysis and frontline review. Deliverables should include the approved capability matrix, exception log, measured results, limitations, and action-closure record. Sources informing the implementation approach include references 4, 6, 8, 9, 12, 16, 18, and 19.
During the pilot, review exceptions quickly enough to change conditions while staff still remember the event. Invite the sending team, transport team, receiving service, medical control, operations, and safety when their interface is involved. Record successful adaptations as well as defects. A workaround that prevented harm may reveal expertise worth incorporating into the standard, but only after the organization evaluates its safety and resource implications.
At day 90, leaders should resist the pressure to declare success from activity alone. Ask whether the included missions had better request completeness, capability match, predeparture exception resolution, handoff acceptance, or action closure. Review balancing measures such as delays, staff workload, missed data, and unintended barriers. If the sample is too small for outcome conclusions, state that limitation and use process reliability plus qualitative evidence to decide whether to continue learning.
The final decision should be one of three choices: adopt the tested workflow for the defined mission class, revise and run another limited cycle, or stop because the intervention did not create sufficient value or introduced unacceptable burden. Every choice should name the accountable leader and the next review date.
Recognize the nurse by strengthening the mission.
Critical Care Transport Nurses Day is a leadership checkpoint for the systems that support expert nursing judgment across every mile and every internal route. Thank the professionals. Then make the request, capability match, equipment, handoff, escalation path, workforce protection, and learning system worthy of their work.
Authoritative resources
- Critical Care Transport Nurses Day, Air & Surface Transport Nurses Association
- ASTNA professional resources and publications
- Certified Transport Registered Nurse program overview, BCEN
- CTRN 20th anniversary and dated credential count, BCEN
- Medical transport accreditation standards, CAMTS
ASTNA confirms the official observance name and annual February 18 date. No official 2026 theme was identified in the reviewed official sources. The BCEN credential count is dated March 1, 2026 and should not be interpreted as the full critical care transport nursing workforce. Local clinical decisions must follow applicable laws, licensure, medical direction, accreditation requirements, organizational policy, and patient-specific judgment.
Peer-reviewed evidence
References are ordered newest first. Public DOI or journal links are provided; private research-platform links are not exposed.
- Kapur M, Li K, Brown A, Huo Z, Booth J, Knight P, et al. (2026). Real-time prediction of cardiorespiratory deterioration during paediatric critical care transport using interpretable machine learning. PLOS Digital Health, 5(5), e0001410. https://doi.org/10.1371/journal.pdig.0001410
- Amoroso J, Ernst J, Kunze KL, Butterfield RJ. (2026). Medical line management in critical care transportations: A novel securement device. Clinical Nursing Research, 35(4), 193–199. https://doi.org/10.1177/10547738261429348
- Medina-Valles M, Laso-Alonso AE, Medina-Villanueva A, Modesto-I-Alapont V, Zuazua Rico D, Maestro-Gonzalez A. (2026). Validation of the SCOPETAS scale for nursing professionals in pediatric interhospital transport. Nursing Reports, 16(2), 67. https://doi.org/10.3390/nursrep16020067
- Lee D-H, Choi S-J. (2026). [Development and effects of an intrahospital transport checklist for intensive care unit nurses: A quasi-experimental study]. Journal of Korean Critical Care Nursing, 19(1), 1–14.
- Kapur M, Li K, Brown A, Huo Z, Knight P, Davies G, Ramnarayan P. (2025). Identification of physiological adverse events using continuous vital signs monitoring during paediatric critical care transport: A novel data-driven approach. PLOS Digital Health, 4(9), e0000822. https://doi.org/10.1371/journal.pdig.0000822
- Zhang Y-B, Ma D, Li R, Wei Y-J, Wang X-Y, Sun Y, et al. (2025). A critical review and evidence mapping of guidelines for transport of critically ill patients. Nursing in Critical Care, 30(4), e70124. https://doi.org/10.1111/nicc.70124
- Haydar B. (2025). Error traps in the intrahospital transport of critically ill and anesthetized children. Paediatric Anaesthesia, 35(7), 497–503. https://doi.org/10.1111/pan.15112
- Dion P-M, Pan A, Beckett A, Singh K, Greene A, Benhamed A, et al. (2025). Prehospital transfusion training in Canada: A national survey of critical care transport organizations. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 33(1), 114. https://doi.org/10.1186/s13049-025-01435-x
- Leib N, Cheney M, Burkhardt JN, Nelson E, Diffley S, Salvator A, et al. (2025). Impact of rank, provider specialty, and unit sustainment training frequency on military critical care air transport team readiness. Military Medicine, 190(1–2), 180–188. https://doi.org/10.1093/milmed/usae113
- An Y, Cao K, Li F, Lu Q, Guan Y-M, Lu Z-H, et al. (2025). A new classification for emergency critically ill patients and analysis of their adverse events during intrahospital transport: A cluster analysis. Nursing in Critical Care, 30(2), e13099. https://doi.org/10.1111/nicc.13099
- Herring S, Riphagen S, Bickell FE. (2025). Advanced clinical practitioners in paediatric critical care transport services. Nursing in Critical Care, 30(2), e13224. https://doi.org/10.1111/nicc.13224
- Skoglund K, Bescher M, Ekwall S, Hammar LM. (2024). Intrahospital transport of critically ill patients: Nurse anaesthetists’ and specialist ICU nurses’ experiences. Nursing in Critical Care, 29(5), 1142–1150. https://doi.org/10.1111/nicc.13053
- Dong J, Yi Y, Zhu X, Zhang H. (2024). Status of knowledge, attitude and practice of clinical nurses towards the intrahospital transport of critically ill patients: A cross-sectional study. Nursing Open, 11(6), e2172. https://doi.org/10.1002/nop2.2172
- Li S, Hou S, Deng X, Chen S, Wang H, Tang L, et al. (2024). Reliability and validity assessment of the Chinese version of the Intrahospital Transport Safety Scale in intensive care units. BMC Nursing, 23, 296. https://doi.org/10.1186/s12912-024-01906-z
- Davis WT, Strilka R, Valdez-Delgado KK, Burkhardt J, Medellin KL, Arana AA, et al. (2024). Impact of en route critical care provider experience on lung protective ventilation compliance during air transport of combat wounded. Military Medicine, 189(Suppl 3), 129–136. https://doi.org/10.1093/milmed/usae059
- Brown DJ, Frasier L, Robinson FE, Cheney M, Davis WT, Salvator A, et al. (2023). Relevance of deployment experience and clinical practice characteristics on military critical care air transport team readiness: A study of simulation construct validity. Military Medicine, 188(7–8), 1376–1381. https://doi.org/10.1093/milmed/usac142
- An Y, Tian Z-R, Li F, Lu Q, Guan Y-M, Ma Z-F, et al. (2023). Establishment of a simplified score for predicting risk during intrahospital transport of critical patients: A prospective cohort study. Journal of Clinical Nursing, 32(7–8), 1125–1134. https://doi.org/10.1111/jocn.16337
- Zhang W, Lv J, Zhao J, Ma X, Li X, Gu H, et al. (2022). Proactive risk assessment of intrahospital transport of critically ill patients from emergency department to intensive care unit in a teaching hospital and its implications. Journal of Clinical Nursing, 31(17–18), 2539–2552. https://doi.org/10.1111/jocn.16072
- Song Y, Zhao Q, Yang M, Xie X, Gong M, Chen H. (2022). Intrahospital transport of critically ill patients: A cross-sectional survey of nurses’ attitudes and experiences in adult intensive care units. Journal of Advanced Nursing, 78(9), 2775–2784. https://doi.org/10.1111/jan.15179
- Evans REC, Barber V, Seaton S, Draper ES, Rajah F, Pagel C, et al. (2022). Development of a parent experience measure for paediatric critical care transport teams. Nursing in Critical Care, 27(3), 367–374. https://doi.org/10.1111/nicc.12648
