| Literature DB >> 34110604 |
Abdullah Alshibani1,2, Meshal Alharbi3,4, Simon Conroy5.
Abstract
BACKGROUND: It is argued that many older trauma patients are under-triaged in prehospital care which may adversely affect their outcomes. This systematic review aimed to assess prehospital under-triage rates for older trauma patients, the accuracy of the triage criteria, and the impact of prehospital triage decisions on outcomes.Entities:
Keywords: Emergency; Geriatrics; Injury; Paramedics; Silver trauma; Triage
Mesh:
Year: 2021 PMID: 34110604 PMCID: PMC8463357 DOI: 10.1007/s41999-021-00512-5
Source DB: PubMed Journal: Eur Geriatr Med ISSN: 1878-7649 Impact factor: 1.710
Fig. 1Inclusion and exclusion criteria
Fig. 2PRISMA flow diagram of the systematic review
Characteristics of the included studies
| Characteristics | Studies | % | ||
|---|---|---|---|---|
| Year | 2016–2020c | [ | 11 | 48% |
| 2011–2015 | [ | 9 | 39% | |
| 2006–2010 | [ | 2 | 9% | |
| Prior to 2000 | [ | 1 | 4% | |
| Country | United States | [ | 21 | 91% |
| Australia | [ | 2 | 9% | |
| Design | Retrospective design | [ | 22 | 96% |
| Retrospective design + Surveys | [ | 1 | 4% | |
| Data collection period | 6 months | [ | 1 | 4% |
| 1 year | [ | 4 | 17% | |
| 14 months | [ | 1 | 4% | |
| 2 years | [ | 1 | 4% | |
| 3 years | [ | 4 | 17% | |
| 4 years | [ | 1 | 4% | |
| 5 years | [ | 3 | 13% | |
| 6 years | [ | 4 | 17% | |
| 10 years | [ | 3 | 13% | |
| 13 years | [ | 1 | 4% | |
| Sample | Only older adults | [ | 12 | 52% |
| All Adult population | [ | 8 | 35% | |
| Paediatric and All Adult populations | [ | 2 | 9% | |
| All trauma patients + healthcare providers | [ | 1 | 4% | |
| Definition of older adults by age | ≥ 50 years | [ | 1 | 4% |
| ≥ 55 years | [ | 7 | 30% | |
| > 55 years | [ | 2 | 9% | |
| ≥ 65 years | [ | 6 | 26% | |
| > 65 years | [ | 3 | 13% | |
| ≥ 70 years | [ | 4 | 17% | |
Themes and inter-linked subthemes
| Themes | Inter-linked Subthemes |
|---|---|
| 1. Under-triage rates | – Rates of initial under-triage – Under-triage in inter-hospital transfers – Under-triage of helicopter transportations – Mode of transportation |
| 2. Clinical effectiveness of trauma triage criteria | – Overall accuracy rates of triage criteria – Physiological factors – Comorbidities – Injury-related factors – Distance |
| 3. Developing specific trauma triage criteria | – Modifying current trauma triage criteria – Developing specific trauma triage criteria for older adults |
| 4. Trauma triage destination compliance | – Destination compliance rates – Patient or relative choice – Socioeconomic factors – Paramedic-related factors |
| 5. Trauma triage and outcomes | – Hospital-related outcomes – Patient outcomes |
Under-triage rates in the included studies
| Study | Main findings |
|---|---|
| Brown et al. (2019) [ | The majority of injured younger patients were transported to a TC ( The odds of transporting older trauma patients to TCs in Australia decreased with age as those who aged 65 to 74 years had a 48% reduction in the rate of TC transport (adjusted OR 0.52, 95% CI 0.35–0.78) compared to 63% reduction for others aged ≥ 85 years (adjusted OR 0.37, 95% CI 0.24–0.55) Overall, a fall from standing resulted in more than 53% reduced odds of TC transport (adjusted OR 0.47, 95% CI 0.33–0.67) Positive predictors of TC transport included motor vehicle crash (adjusted OR 2.5, 95% CI 1.6–4.0) and male gender (adjusted OR 1.4, 95% CI 1.1–1.8) |
| Chang et al. (2008) [ | The rate of under-triage among older trauma patients was 50% compared to 18% for younger trauma patients (P < 001) Older trauma patients who aged ≥ 65 years had a 52% reduced chance to be transported to TCs (OR, 0.48; 95% CI 0.30–0.76) after controlling of possible confounding factors (year, sex, physiology, injury, or mechanism criteria, transport reasons, prehospital care provider training level, presence or absence of 18 specific injuries, and jurisdictional region) |
| Cox et al. (2014) [ | In a univariate logistic analysis, with each increase of age by one year, the chance of being transported to TCs decreased by 2 percent (OR 0.982, 95% CI 0.982–0.983) The unadjusted odds of transporting injured older adults to a TC was 57% lower (OR 0.431; 95% CI 0.416, 0.446) than for injured younger adults |
| Davis et al. (2012) [ | For injured patients who aged 15 to 54 years, 83% of them were positively triaged by Florida Trauma Triage Algorithm (FTTA) and 86% had ISS > 15 (OR 2.88, 95% CI 2.44–3.41). The OR for patients with ISS > 15 was 6.53 (95% CI 4.07–10.47) In comparison, injured patients who aged ≥ 55 years, 59% of them who were positively triaged by FTTA and 64% had ISS > 15 (OR 1.03, 95% CI 0.93–1.15). (OR 1.67, 95% CI 1.08–2.58). The OR of the triaging effect for patients aged ≥ 55 years with ISS > 15 was slightly increased (OR 1.67, 95% CI 1.08–2.58) compared to those with lower injury severity (i.e., ISS 0–15) (OR 1.00, 95% CI 0.89–1.12) |
| Garwe et al. (2017) [ | Older injured adults had a higher chance of being transferred to non-TCs in comparison with younger trauma patients (53% vs. 34%, p < 0.05) Older injured patients also had a less chance to be transported by HEMS (14.6% vs. 20%, p < 0.05) After controlling for confounding factors and distance measures, the study showed that older trauma patients had a significantly less chance of being transported to and treated at TCs (OR = 0.54, 95% CI 0.52–0.56), whether they were initially transported by ambulance from the scene (OR = 0.47, 95% CI 0.44–0.50) or through inter-facility transfers from non-TCs (OR = 0.63, 95%CI 0.59–0.68) |
| Garwe et al. (2020) [ | The results of this study showed that 57% of older trauma patients were treated at non-TCs compared to 43% at TCs Patients treated at TCs were younger, predominantly (P < 0.05) male, had traffic-related or penetrating injuries, more likely to be transported by ambulance from the injury scene, and injured to place close from tertiary or level III TCs Patients aged ≥ 65 years had a disproportionately higher rate of treatment at non-TCs than that at TCs (82% vs 64%) and the majority of the injuries (82%) were fall-related |
| Horst et al. (2020) [ | The median under-triage rate for older trauma patients was 50.5% (Inter-quartile Range [IQR], 38.2–60.1%) |
| Ichwan et al. (2015) [ | When the outcome is determined as ISS > 15, the current triage guidelines showed a high sensitivity for younger adults (87%; 95% CI 86%-87%), but a significantly decreased sensitivity for older adults (61%; 95% CI 60%-62%) |
| Kodadek et al. (2015) [ | There was a reduction trend in transporting patients to lower TCs with increased NISS as 76%.2 of patients with NISS < 9 were transported to lower or non-TCs which then decreased to 66.2% with NISS between 9 to 15, and 44.8% with NISS between 16 to 24 However, for patients who had NISS ≥ 25, 54.1% of them were treated at lower or non-TCs Even when older trauma patients living in rural areas were excluded, the rate for under-triage was still high (55.8%) For older trauma patients, most injuries treated at lower or non-TCs as well as those at higher level TCs were resulted from falls (71.3% and 59.3%, respectively). However, 16.5% of patients with injuries resulted from motor vehicle accidents were treated at higher level TCs compared to only 5% who were treated at lower or non-TCs (P < 0.001) |
| Meyers et al. (2019) [ | The proportion of geriatric patients meeting physiological criteria of the Trauma Triage Destination Plans (TTDP) who were transported to TCs was 24.4% pre-TTDP and 24.4% post-TTDP Few patients bypassed a closer hospital to a TC (pre-TTDP, 12.6% [ Even when trauma was within 60 min from a TC, still few patients bypassed to a TC (pre TTDP, 17.9% [ Although no difference was found between the pre- and post-time interval when the trauma occurred more than 60 min from a TC (pre-TTDP, 4.0% [ Increasing age was associated with decreased rates of TC transport ( Almost 3% of the entire study population of older trauma patients were transported through HEMS although 31% of them met the trauma triage criterion (≥ 60 min from the nearest TC) |
| Nakamura et al. (2012) [ | Under-triage rate was relatively constant, but then progressively increased after the age of ≥ 60 years and reached a rate of 58% to 62.2% among older patients aged > 90 years |
| Newgard et al. (2016) [ | The sensitivity and specificity of current trauma triage criteria: For ISS > 15: sensitivity 75.9%, 95% CI 72.3–79.2%; specificity 77.8%, 95% CI 77.1–78.5% (Area Under the Curve (AUC) 0.77 [0.75–0.79]), (146 out of 605 patients were under-triaged) For serious traumatic brain injury: sensitivity 64.5%, 95% CI 60.8–68.2%; specificity 77.4%, 95% CI 76.6–78.1% (AUC 0.71 [0.69–0.73]), (225 out of 634 patients were under-triaged) For serious chest injury: sensitivity 57.2%, 95% CI 52.6–61.7%; specificity 76.5%, 95% CI 75.8–77.3% (AUC 0.67 [0.65–0.69]), (194 out of 453 patients were under-triaged) For serious abdominal-pelvic injury: sensitivity 38.6%, 95% CI 32.4–44.9%; specificity 75.6%, 95% CI 74.9–76.4% (AUC 0.57 [0.54–0.60]), (143 out of 233 patients were under-triaged) |
| Newgard, et al. (2019) [ | The study showed the poor sensitivity of the current trauma triage criteria as they identified only 117 out of 320 patients who had ISS > 15 and those whose injuries required a major non-orthopedic surgery The sensitivity of current trauma triage criteria for older trauma patients was 36.6% (95% CI 31.2–42.0%) and the specificity was 90.1% (95% CI 89.2%–91.0%) Out of the 5021 injured older adults who are included in this study, only 803 (16%) were initially transported to higher-level TC Of the 583 patients who met the current triage criteria, 222 (38.1%) were transported to higher-level TC When measuring triage based on the hospital destination, 114 patients of 320 who had an ISS > 15 or those who required non-orthopedic surgery were initially transported to a Level I/II TC (sensitivity 35.6%; 95% CI 30.1%–41.1%) Patients who did not have serious injuries or require specialised operations ( Of patients who were seriously injured but transported to non-TCs ( |
| Phillips et al. (1996) [ | Among injured older adults aged ≥ 55 years, the sensitivity was 29% with an under-triage rate of 71% while the specificity of the triage criteria was 92.6% with an over-triage of 7.4% Among injured younger adults aged 15–54 years, the sensitivity was 64% with an under-triage rate of 36% while the specificity of the triage criteria was 88.7% with an over-triage of 11.3%. Although the rate of under-triage wasbelow the target level of not more than 5%, the study argued that this rate is comparable to the results of other studies The rate of under-triage among older trauma patients increased with age; reaching a rate of 81.9% for those aged ≥ 85 years According to the mechanism of injury, the triage criteria were highly sensitive to gunshot wounds (under-triage rate of 5%) and significantly less sensitive to falls (under-triage rate of 94.3%) |
| Pracht et al. (2011) [ | The rates of TC treatment decreased with age as 50.31% of patients aged 65 to 74 years were treated at TCs compared to 35.85% among patients aged 75 years to 84 years and 27.19% among patients aged ≥ 85 years |
| Staudenmayer et al. (2013) [ | Older trauma patients were significantly under-triaged in pre-hospital care (32.8% of patients with ISS > 15 were under-triaged) When under-triage is defined to include all patients transported to non-TCs either they had ISS > 15 or a procedure including interventional radiology or non-orthopedic surgery, the rate of under-triage increased to 44% |
| Uribe-Leitz et al. (2020) [ | For trauma patients aged ≥ 65 years old, 26.5% of them were treated at TCs compared to 73.5% at non-TCs The rate of under-triage for patients with ISS > 15 was 46.3% The rate of under-triage increased with age; reaching 57% for patients aged > 80 years (OR 1.52; 95% CI 1.52–1.61) |
Factors Affecting Accurate Prehospital Trauma Triage Decisions
| Factors | Findings |
|---|---|
| Physiological variables (Systolic Blood Pressure [SBP], Heart Rate [HR], and Glasgow Coma Scale [GCS]) | Systolic Blood Pressure and Heart Rate: Trauma patients aged ≥ 55 treated at TCs were more likely ( Older trauma patients aged > 55 years, compared to their younger counterparts, were significantly less likely to experience shock (SBP < 90 mm Hg) (SBP, mm Hg, mean [± Standard Deviation (SD)]:144 [ This is consistent with other research findings which found decreasing rates of older patients aged > 65 years presenting with hypotension (SBP < 90 mm Hg) and tachycardia (HR > 100 beats per minute) [ |
Glasgow Coma Scale: Trauma patients aged ≥ 55 treated at TCs were more likely ( Older trauma patients aged > 55 years, compared to their younger counterparts, had higher GCS (GCS mean [± SD]: 14.2 [2.4] vs. 13.6 [3.5]) [ Applying the GCS ≤ 13 for trauma patients aged ≥ 70 years had much worse sensitivity; decreasing the sensitivity rate by 35%; from 85.7% (95% CI 84.1–87.2) in younger adults to 50.7% (95% CI 47.5–53.9) in older adults [ | |
| Comorbidities | Patients aged ≥ 55 years treated at non-TCs were shown to have a slightly higher prevalence of comorbidities (44.7% vs 42.3%) notably the higher prevalence of preexisting cardiac-related diseases (29.1% vs 25.6%) ( |
| Distance | Trauma patients aged ≥ 55 years and treated at TCs were injured in places close to these centres [ Compared to younger adults, older trauma patients suffered injuries in places that were slightly further from TTCs (47 miles vs 44 miles) [ For trauma patients aged ≥ 65 years, distance was shown to impact prehospital trauma triage as older patients who lived > 30 miles from a TC has 37% higher odds of under-triage (OR 1.37; 95% CI 1.15–1.40) compared to those who lived within 15 miles [ |
| Injury-related factors (injury pattern and mechanism) | Injury pattern: Patients aged ≥ 55 years who were treated in TCs had a higher incidence of serious injuries to head, chest and abdomen (i.e. Abbreviated Injury Scale [AIS] ≥ 3) ( |
Mechanism of injury: Patients aged ≥ 55 years who were treated in TCs predominantly had motor vehicle accidents ( Vehicle crashes were a predictor of TC transport for trauma patients aged ≥ 55 years (OR 3.39, CI 2.79–4.11) [ Evidence from Australia also showed that one of the positive predictors of TC transport was motor vehicle accidents (adjusted OR 2.5, 95% CI 1.6–4.0) [ The rates of falls increased with age (12% of patients aged 16–25 years vs. 77% of patients aged > 65 years) whereas the rates of motor vehicle collisions increased with age (52% of patients aged 16–25 years vs. 16% of patients aged > 65 years) [ Most of injuries among older adults aged ≥ 65 years occurred at home usually due to falls from standing height (62%) which was the most common mechanism of injury among this population [ Most (63%) of older trauma patients aged > 55 who had falls were transported to non-TC [ Another nationwide research in the USA showed that 71.3% of older trauma patients who were transported to non-TC had falls as their mechanism of injury [ The sensitivity of prehospital trauma triage criteria, according to the mechanism of injury, is significantly poor to falls (94% under-triage) [ Falls has a significant impact on the population of injured older adults as it is responsible for 70% of their hospitalisation and 45% of the resulted major trauma among this population [ | |
| Socioeconomic factors (sex, age, ethnicity, household income, population density, and geographical location) | For trauma patients aged ≥ 55 years, sex, race, median household income, NISS injury severity, geographic location, mechanism of injury, and number of chronic conditions were statistically significant predictors of TC transport ( The socioeconomic factors identified as predictors of TC transport for trauma patients aged ≥ 55 years included Asian/Pacific and Hispanic race/ethnicity (OR 2.51, CI 1.92–3.27; OR 1.1, CI 0.86–1.42), highest median household income (OR 1.24, CI 1.01–1.52), and high population density (OR 1.32, CI 1.12–1.55; OR 3.2, CI 2.68–2.83) [ The socioeconomic factors identified as predictors of non-TC transport for trauma patients aged ≥ 55 years included older age groups (OR 0.92, CI 0.76–1.11; OR 0.79, CI 0.64–0.96; OR 0.77, CI 0.63–0.95), females (OR 0.65, CI 0.57–0.74), Black and "other" race (OR 0.75, CI 0.0.56–1.0; OR 0.96, CI 0.77–1.20), lower median household income (OR 0.76, CI 0.62–0.93; OR 0.86, CI 0.71–1.05), low population density (OR 0.96, CI 0.67–1.36; OR 0.89, CI 0.53–1.51), and number of chronic conditions (OR 0.89, CI 0.87–0.91); indicating a risk of bias which needs further assessment and investigation [ For trauma patients aged > 65 years, higher under-triage rates were identified in rural areas which have limited access to a TC [ For trauma patients aged ≥ 65 years, female patients had increased odds of under-triage (OR 1.09; 95% CI 1.07–1.11). Hispanic patients (OR 1.33; 95% CI 1.25–1.41) and Asian patients (OR 1.28; 95% CI 1.21–1.35) also had higher odds of under-triage compared with white patients [ Evidence from Australia also showed that one of the positive predictors of TC transport was the male sex (adjusted OR 1.4, 95% CI 1.1–1.8) [ Among trauma patients aged ≥ 55 years, those who were treated at non-TCs were older (i.e. ≥ 65 year) compared to the patients treated at TCs (82% vs 64%) [ |
| Patient or relative choice | Seventy-three percent of hospital selections for older trauma patients were driven by patient or relative choice, however, there were inconsistent findings regarding the benefits this may confer in terms of improving care for older patients [ |
| Paramedic-related factors (training, familiarity with protocols, possible ageism, and feeling unwelcomed) | Surveys of prehospital personnel have shown that insufficient training in the management of injured older victims (20%), lack of familiarity with protocols (10%), age bias (such as feeling older people are not worth the extra expenditure [5%] and poor prognoses [2%]), and feeling unwelcomed when bringing patients to a TC (2%) are other possible factors explaining destination non-compliance for older patients who meet the triage criteria [ |