District-level hospital trauma care audit filters: Delphi technique for defining context-appropriate indicators for quality improvement initiative evaluation in developing countries

IntroductionProspective clinical audit of trauma care improves outcomes for the injured in high-income countries (HICs). However, equivalent, context-appropriate audit filters for use in low- and middle-income country (LMIC) district-level hospitals have not been well established. We aimed to develop context-appropriate trauma care audit filters for district-level hospitals in Ghana, was well as other LMICs more broadly.MethodsConsensus on trauma care audit filters was built between twenty panellists using a Delphi technique with four anonymous, iterative surveys designed to elicit: (i) trauma care processes to be measured; (ii) important features of audit filters for the district-level hospital setting; and (iii) potentially useful filters. Filters were ranked on a scale from 0 to 10 (10 being very useful). Consensus was measured with average percent majority opinion (APMO) cut-off rate. Target consensus was defined a priori as: a median rank of ≥9 for each filter and an APMO cut-off rate of ≥0.8.ResultsPanellists agreed on trauma care processes to target (e.g. triage, phases of trauma assessment, early referral if needed) and specific features of filters for district-level hospital use (e.g. simplicity, unassuming of resource capacity). APMO cut-off rate increased successively: Round 1 – 0.58; Round 2 – 0.66; Round 3 – 0.76; and Round 4 – 0.82. After Round 4, target consensus on 22 trauma care and referral-specific filters was reached. Example filters include: triage – vital signs are recorded within 15 min of arrival (must include breathing assessment, heart rate, blood pressure, oxygen saturation if available); circulation – a large bore IV was placed within 15 min of patient arrival; referral – if referral is activated, the referring clinician and receiving facility communicate by phone or radio prior to transfer.ConclusionThis study proposes trauma care audit filters appropriate for LMIC district-level hospitals. Given the successes of similar filters in HICs and obstetric care filters in LMICs, the collection and reporting of prospective trauma care audit filters may be an important step towards improving care for the injured at district-level hospitals in LMICs.     

Technology-enhanced trauma training in low-resource settings: A scoping review and feasibility analysis of educational technologies

BackgroundLack of training contributes to the burden of trauma-related mortality and morbidity in low- and lower-middle-income countries (LMICs). Educational technologies present a unique opportunity to enhance the quality of trauma training. Therefore, this study reviews current technologies used in trauma courses and evaluates their feasibility for LMICs.MethodsWe conducted a scoping review evaluating the learning outcomes of technology-enhanced training in general trauma assessment, team skills or any procedures covered in the 2020 Advanced Trauma Life Support® program. Based on the Technology-Enhanced Learning criteria, we created and applied a feasibility analysis tool to evaluate the technologies for use in LMICs.ResultsWe screened 6471 articles and included 64. Thirty-four (45%) articles explored training in general trauma assessment, 28 (37%) in team skills, and 24 (32%) in procedures. The most common technologies were high-fidelity mannequins (60%), video-assisted debriefing (19%), and low-fidelity mannequins (13%). Despite their effectiveness, high-fidelity mannequins ranked poorly in production, maintenance, cost, and reusability categories, therefore being poorly suited for LMICs. Virtual simulation and digital courses had the best feasibility scores, but still represented a minority of articles in our review.ConclusionTo our knowledge, this is the first study to perform a feasibility analysis of trauma training technologies in the LMIC context. We identified that the majority of trauma courses in the literature use technologies which are less suitable for LMICs. Given the urgent need for pediatric trauma training, educators must use technologies that optimize learning outcomes and remain feasible for low-resource settings.Level of EvidenceIV.     

Validation of international trauma scoring systems in urban trauma centres in India

IntroductionIn the Lower-Middle Income Country setting, we validate trauma severity scoring systems, namely Injury Severity Score (ISS), New Injury Severity Scale (NISS) score, the Kampala Trauma Score (KTS), Revised Trauma Score (RTS) score and the TRauma Injury Severity Score (TRISS) using Indian trauma patients.Patients and methodsFrom 1 September 2013 to 28 February 2015, we conducted a prospective multi-centre observational cohort study of trauma patients in four Indian university hospitals, in three megacities, Kolkata, Mumbai and Delhi. All adult patients presenting to the casualty department with a history of injury and who were admitted to inpatient care were included. The primary outcome was in-hospital mortality within 30-days of admission. The sensitivity and specificity of each score to predict inpatient mortality within 30 days was assessed by the areas under the receiver operating characteristic curve (AUC). Model fit for the performance of individual scoring systems was accomplished by using the Akaike Information criterion (AIC).ResultsIn a registry of 8791 adult trauma patients, we had a cohort of 7197 patients eligible for the study. 4091 (56.8%)patients had all five scores available and was the sample for a complete case analysis. Over a 30-day period, the scores (AUC) was TRISS (0.82), RTS (0.81), KTS (0.74), NISS (0.65) and ISS (0.62). RTS was the most parsimonious model with the lowest AIC score. Considering overall mortality, both physiologic scores (RTS, KTS) had better discrimination and goodness-of-fit than ISS or NISS. The ability of all Injury scores to predict early mortality (24 h) was better than late mortality (30 day).ConclusionOn-admission physiological scores outperformed the more expensive anatomy-based ISS and NISS. The retrospective nature of ISS and TRISS score calculations and incomplete imaging in LMICs precludes its use in the casualty department of LMICs. They will remain useful for outcome comparison across trauma centres. Physiological scores like the RTS and KTS will be the practical score to use in casualty departments in the urban Indian setting, to predict early trauma mortality and improve triage.     

The effect of transfer status on trauma outcomes in low- and middle-income countries: A systematic review and meta-analysis

IntroductionInjuries are a leading cause of disability and death worldwide, and low- and middle-income countries (LMICs) are disproportionately burdened by trauma. Prior studies have shown that transfer status (direct transfer from injury scene to a referral hospital versus indirect transfer from another facility to a referral hospital) may affect patient outcomes. The purpose of this study is to evaluate the relationship between transfer status and trauma patient outcomes in LMICs by conducting a systematic review and meta-analysis.MethodsWe performed a systematic search to identify studies from LMICs that evaluated the relationship between transfer status and trauma patient outcomes. We extracted data on study country, design, patient characteristics, and outcomes. We report results in the form of a narrative summary stratified by type of outcome. We also performed a meta-analysis of studies that reported mortality by transfer status. We calculated a pooled odds ratio of mortality among indirectly transferred (IT) versus directly transferred (DT) patients using random-effects modeling.ResultsWe included 17 observational studies from 9 LMICs in this systematic review. Outcomes assessed were time from injury to arrival at a referral hospital, post-trauma functional status, hospital length of stay, and mortality. IT patients took between 0.6 and 37.9 h longer to arrive at referral hospitals than DT patients. Hospital length of stay was up to 6 days longer for IT patients than DT patients. The pooled odds ratio of mortality among IT patients compared to DT patients was 1.55 (95% CI 1.12 – 2.15; p = 0.009).ConclusionTrauma patients in LMICs who are indirectly transferred to referral hospitals have significantly higher mortality rates than patients who present directly to referral hospitals. These results conflict with findings from HICs and reflect the relative immaturity of trauma systems in LMICs. Strategies to narrow the mortality gap between IT and DT patients include improving prehospital and primary hospital care and developing more efficient transfer protocols.     

Status of trauma quality improvement programs in the Andean region: What foundation do we have to build on

IntroductionTrauma quality improvement (QI) programs have been shown to improve outcomes and decrease cost. These are high priorities in low- and middle-income countries (LMICs), where 2,000,000 deaths due to survivable injuries occur each year. We sought to define areas for improvement in trauma QI programs in four LMICs.MethodsWe conducted a survey among trauma care providers in four Andean middle-income countries: Bolivia, Colombia, Ecuador, and Peru.Results336 physicians, medical students, nurses, administrators and paramedical professionals responded to the cross-sectional survey with a response rate greater than 90% in all included countries except Bolivia, where the response rate was 14%. Eighty-seven percent of respondents reported morbidity and mortality (M&M) conferences occur at their hospital. Conferences were often reported as infrequent – 45% occurred less than every three months and poorly attended – 63% had five or fewer staff physicians present. Only 23% of conferences had standardized selection criteria, most lacked documentation – notes were taken at only 35% of conferences. Importantly, only 13% of participants indicated that discussions were routinely followed-up with any sort of corrective action. Multivariable analysis revealed the presence of standardized case selection criteria (OR 3.48, 95% CI 1.16–10.46), written documentation of the M&M conferences (OR 5.73, 95% CI 1.73–19.06), and a clear plan for follow-up (OR 4.80, 95% CI 1.59–14.50) to be associated with effective M&M conferences. Twenty-two percent of respondents worked at hospitals with a trauma registry. Fifty-two percent worked at institutions where autopsies were conducted, but only 32% of those reported the autopsy results to ever be used to improve hospital practice.ConclusionsM&M conferences are frequently practiced in the Andean region of Latin America but often lack methodologic rigor and thus effectiveness. Next steps in the maturation of QI programs include optimizing use of data from autopsies and registries, and systematic follow-up of M&M conferences with corrective action to ensure that these activities result in appreciable changes in clinical care.     

The Malawi trauma score: A model for predicting trauma-associated mortality in a resource-poor setting

BackgroundGlobally, traumatic injury is a leading cause of morbidity and mortality in low-income countries. Current tools for predicting trauma-associated mortality are often not applicable in low-resource environments due to a lack of diagnostic adjuncts. This study sought to derive and validate a model for predicting mortality that requires only a history and physical exam.MethodsWe conducted a retrospective analysis of all patients recorded in the Kamuzu Central Hospital trauma surveillance registry in Lilongwe, Malawi from 2011 through 2014. Using statistical randomization, 80% of patients were used for derivation and 20% were used for validation. Logistic regression modeling was used to derive factors associated with mortality and the Malawi Trauma Score (MTS) was constructed. The model fitness was tested.Results62,354 patients are included. Patients are young (mean age 23.0, SD 15.9 years) with a male preponderance (72%). Overall mortality is 1.8%. The MTS is tabulated based on initial mental status (alert, responds to voice, responds only to pain or worse), anatomical location of the most severe injury, the presence or absence of a radial pulse on examination, age, and sex. The score range is 2–32. A mental status exam of only responding to pain or worse, head injury, the absence of a radial pulse, extremes of age, and male sex all conferred a higher probability of mortality. The ROC area under the curve for the derivation cohort and validation cohort were 0.83 (95% CI 0.78, 0.87) and 0.83 (95% CI 0.75, 0.92), respectively. A MTS of 25 confers a 50% probability of death.ConclusionsThe MTS provides a reliable tool for trauma triage in sub-Saharan Africa and helps risk stratify patient populations. Unlike other models previously developed, its strength is its utility in virtually any environment, while reliably predicting injury- associated mortality.     

Measuring socioeconomic outcomes in trauma patients up to one year post-discharge: A systematic review and meta-analysis

IntroductionTrauma accounts for nearly one-tenth of the global disability-adjusted life-years, a large proportion of which is seen in low- and middle-income countries (LMICs). Trauma can affect employment opportunities, reduce social participation, be influenced by social support, and significantly reduce the quality of life (QOL) among survivors. Research typically focuses on specific trauma sub-groups. This dispersed knowledge results in limited understanding of these outcomes in trauma patients as a whole across different populations and settings. We aimed to assess and provide a systematic overview of current knowledge about return-to-work (RTW), participation, social support, and QOL in trauma patients up to one year after discharge.MethodsWe undertook a systematic review of the literature published since 2010 on RTW, participation, social support, and QOL in adult trauma populations, up to one year from discharge, utilizing the most commonly used measurement tools from three databases: MEDLINE, EMBASE, and the Cochrane Library. We performed a meta-analysis based on the type of outcome, tool for measurement, and the specific effect measure as well as assessed the methodological quality of the included studies.ResultsA total of 43 articles were included. More than one-third (36%) of patients had not returned to work even a year after discharge. Those who did return to work took more than 3 months to do so. Trauma patients reported receiving moderate social support. There were no studies reporting social participation among trauma patients using the inclusion criteria. The QOL scores of the trauma patients did not reach the population norms or pre-injury levels even a year after discharge. Older adults and females tended to have poorer outcomes. Elderly individuals and females were under-represented in the studies. More than three-quarters of the included studies were from high-income countries (HICs) and had higher methodological quality.ConclusionRTW and QOL are affected by trauma even a year after discharge and the social support received was moderate, especially among elderly and female patients. Future studies should move towards building more high-quality evidence from LMICs on long-term socioeconomic outcomes including social support, participation and unpaid work.     

Comparing the outcomes of isolated,serious traumatic brain injury in older adults managed at major trauma centres and neurosurgical services: A registry-based cohort study

BackgroundThe incidence of older adult traumatic brain injury (TBI) is increasing in both high and middle to low-income countries. It is unknown whether older adults with isolated, serious TBI can be safely managed outside of major trauma centres. This registry based cohort study aimed to compare mortality and functional outcomes of older adults with isolated, serious TBI who were managed at specialised Major Trauma Services (MTS) and Metropolitan Neurosurgical Services (MNS).MethodOlder adults (65 years and over) who sustained an isolated, serious TBI following a low fall (from standing or ≤ 1 m) were extracted from the Victorian State Trauma Registry from 2007 to 2016. Multivariable models were fitted to assess the association between hospital designation (MTS vs. MNS) and the two outcomes of interest: in-hospital mortality and functional outcome, adjusting for potential confounders. Functional outcomes were measured using the Glasgow Outcome Scale Extended at six months post-injury.ResultsFrom 2007–2016, there were 1904 older adults who sustained an isolated, serious TBI from a low fall who received definitive care at an MTS (n = 1124) or an MNS (n = 780). After adjusting for confounders, there was no mortality benefit for patients managed at an MTS over an MNS (OR = 0.84; 95% CI: 0.65, 1.08; P = 0.17) or improvement in functional outcome six months post-injury (OR = 1.13; 95% CI: 0.94, 1.36; P = 0.21).ConclusionFor older adults with isolated, serious TBI following a low fall, there was no difference in mortality or functional outcome based on definitive management at an MTS or an MNS. This confirms that MNS without the added designation of a major trauma centre are a suitable destination for the management of isolated, serious TBI in older adults.     

Socioeconomic correlates of trauma: An analysis of emergency ward patients in Yaoundé, Cameroon

IntroductionInjury is a significant and increasingly common cause of morbidity and mortality in sub-Saharan Africa; however, the social and economic factors underlying these trends are not well understood. We evaluated the relationship between socioeconomic status (SES) and trauma outcomes using a prospective registry of patients presenting to the largest trauma hospital in Yaoundé, Cameroon.MethodsTrauma patients (n = 2855) presenting to the emergency ward at Central Hospital, Yaoundé between April 15 and October 15, 2009 were surveyed regarding demographic and socioeconomic background, nature and severity of injuries, treatment, and disposition. A wealth score was estimated for each patient, corresponding to an SES index constructed using principle components analysis of the urban Cameroonian Demographic and Health Survey. Logistic regression was used to evaluate the effects of SES on care-seeking behaviour, injury severity, and treatment outcome.Main outcome measures: SES wealth score, care-seeking prior to visiting hospital, injury severity, treatment outcome.ResultsPatients aged 1–89 presented with road traffic injuries (59.83%), falls (7.76%), and penetrating trauma (6.16%), and had higher SES than the broader urban Cameroonian population. Within the Yaoundé sample, being in the lowest SES quintile was associated with an increased likelihood of having sought care elsewhere before presenting to the hospital (aOR = 3.28, p < 0.001), after controlling for background and injury characteristics. Patients in the lowest SES quintile were also more likely to present with moderate/severe injuries (aOR = 4.93, p < 0.001), and were more likely to be transferred to the operating room.ConclusionsPatients presenting to this trauma centre were wealthier than the broader community, suggesting the possibility of barriers to accessing care. Poorer patients were more likely to have severe injuries and more likely to need surgery, but were less likely to seek care from a major trauma centre immediately. Substantial differences in SES between the sample visiting the hospital and the broader community suggest a need for community-based sampling approaches in future trauma research.     

A thematic review of the use of electronic logbooks for surgical assessment in sub-Saharan Africa

IntroductionEnsuring that surgical training programmes in low- and middle-income countries (LMICs) provide high quality training, including adequate operative experience, is of crucial importance in meeting the goals set out in the Lancet Global Surgery 2030. Electronic logbooks (eLogbooks) have been adopted to monitor both individual trainee progression and the performance of surgical training programmes.MethodsWe performed a thematic review of the current evidence base surrounding the use of eLogbooks for the assessment of surgeons in training in sub-Saharan Africa, with a view to identifying the learning to date and areas for future research.ResultsWhilst there are multiple papers highlighting the use of surgical eLogbooks in high-income countries, we identified only three papers which discussed their use in sub-Saharan Africa. Four common themes emerged which related to the use of surgical eLogbooks throughout sub-Saharan Africa: ease of analysis, centralised databases, discrepancies in reporting and technology limitations.ConclusionsRobust data to demonstrate trainee progression and the quality of surgical training programmes are of crucial importance in ensuring that surgical training programmes can rapidly scale up to deliver large numbers of well-trained surgical providers to address the unmet patient need in LMICs in the next decade. The limited data on the use of well designed, centralised electronic surgical logbooks indicate that this tool may play an important role in providing key data to underpin these training programmes.     

Trauma centre patient volume and inpatient mortality risk reconsidered

BackgroundSeveral studies have examined the relationship between injury volumes and trauma centre outcomes, with varying results attributable to differences in the measurement of volume's effect on mortality and differences in how characteristics are addressed as potential confounders.MethodsThis analysis includes all trauma cases reported to the NTDB 2012. The effect of trauma centre volume on patient mortality risk was measured in three different contexts: as a linear function of trauma centre volume, as a dichotomous function comparing patients in trauma centres with and without 1200 or more cases, and as a non-linear function of trauma centre volume. Multivariable weighted Hierarchical Generalized Linear Models were used to account for the combined effects of facility level and patient level covariates. Patient level mortality risk was assessed using the ACS Trauma Quality Improvement Programme methodology.ResultsTrauma centre volume was not a statistically significant predictor (at the α = 0.01 level) of patient mortality risk, in any of the three models. Comprehensive adjustments for patient level risk were obtained, with excellent discrimination between survivor and decedent cases. The addition of trauma volume to baseline patient mortality risk yielded no improvement in the accuracy of any model. These results were not sensitive to the inclusion of Level II trauma centres. Equivalent results were obtained by repeating the analysis for the Level I subpopulation only.ConclusionsCase volume may be a reasonable standard for determining whether adequate numbers of injured patients are available to support training needs and experience requirements of a Level I trauma centre. However, case volume is not a useful predictor of patient mortality in individual facilities. Trauma centre volume has no independent effect, after accounting for the patient level characteristics that predominantly influence mortality.     

The impact of the Major Trauma Network: will trauma units continue to treat complex foot and ankle injuries?

IntroductionApril 1st 2012 saw the introduction of National Trauma Networks in England. The aim to optimise the management of major trauma. Patients with an ISS ≥ 16 would be transferred to the regional Major Trauma Centre (level 1). Our premise was that trauma units (level 2) would no longer manage complex foot and ankle injuries thereby obviating the need for a foot and ankle specialist service.MethodsRetrospective analysis of the epidemiology of foot and ankle injuries, using the Gloucestershire trauma database, from a trauma unit with a population of 750,000. Rates of open fractures, complex foot and ankle injuries and requirement for stabilisation with external fixation were reviewed before and after the introduction of the regional Trauma Network. Secondly, using the Trauma Audit & Research Network (TARN) database, all foot and ankle injuries triaged to the regional Major Trauma Centre (MTC) were reviewed.ResultsIncidence of open foot and ankle injuries was 2.9 per 100,000 per year. There were 5.1% open injuries before the network and 3.2% after (p > 0.05). Frequency of complex foot and ankle injuries was 4.2% before and 7.5% after the network commenced, showing no significant change. There was no statistically significant change in the numbers of patients with complex foot and ankle injuries treated by application of external fixators. Analysis of TARN data revealed that only 18% of patients with foot and ankle injuries taken to the MTC had an ISS ≥ 16. The majority of these patients were identified as requiring plastic surgical intervention for open fractures (69%) or were polytrauma patients (43%). Only 4.5% of patients had isolated, closed foot and ankle injuries.ConclusionWe found that at the trauma unit there was no decrease in the numbers of complex foot and ankle injuries, open fractures, or the applications of external fixators, following the introduction of the Trauma Network. These patients will continue to attend trauma units as they usually have an ISS < 16. Our findings suggest that there is still a need for foot and ankle specialists at trauma units, in order to manage patients with complex foot and ankle injuries.     

The epidemiology of work-related injury admissions to hospitals in the Midland region of New Zealand

ObjectiveTo describe the epidemiological characteristics of patients with work-related injuries (WRI) admitted to hospitals in New Zealand’s Midland Trauma System (MTS) during a four year period.MethodsA retrospective review was conducted of trauma registry records for adults (≥ 15 years) admitted to four hospitals in the MTS as a result of WRI between 1 January 2012 and 31 December 2015. We describe the patterns of injury incidence by demographic characteristics, employment industry, mechanism of injury, body regions injured, injury severity score (ISS), month, day and time of injury, duration of hospital stay, domicile District Health Board (DHB), and discharge destination.ResultsThe 2169 WRI trauma admissions, corresponded to an annualised rate of 205.8 per 100,000 workers or 234.3 per 100,000 full time employment employees (FTE). Injury rates were highest among males (238.0 per 100,000 workers) and those aged 15–24 years (227.1 per 100,000 workers), and lowest among Asians (83 per 100,000 workers). The highest injury rates occurred among the ‘agriculture/forestry/fishing’, ‘manufacturing’, and ‘transport/postal/warehousing’ industries. ‘Contact with machinery’ was the most common mechanism of injury, and the ‘extremities or pelvic girdle’ the most common body region injured. The in-hospital case fatality rate was <0.5%.ConclusionThe predominance of WRI in the ‘agriculture/forestry/fishing’ industries in the Midland region is consistent with national estimates. The high rate of injuries amongst males, young adults, and Māori requires further exploration.     

Lung Organ Failure Score (LOFS): probability of severe pulmonary organ failure after multiple injuries including chest trauma

BackgroundPulmonary complications are common in multiple trauma patients with chest injury. Factors predisposing these critically ill patients to respiratory organ failure are not fully understood.MethodsUnivariate and multivariate logistic regression analyses were used to assess the prognostic value of clinical and laboratory variables (2002–2008; n = 30,616) from the Trauma Registry of the German Trauma Society (DGU). Data from patients admitted to the ICU with lung contusion/lacerations, an Injury Severity Score ≥16 and age ≥18 were included in the study. Severe pulmonary organ failure was defined as PaO₂/FiO₂ < 200 for ≥3 days and based on the odds ratios (ORs) a simplified Lung Organ Failure Score (LOFS) was developed using integer values.Results21.3% (1254) of the 5892 patients analysed developed severe pulmonary organ failure. We identified seven independent predictors with significant correlation: age, gender, head injury, fluid therapy, injury severity, degree of chest trauma and surgical interventions. The highest ORs were observed in cases of Abbreviated Injury Scale (AIS)_Thorax = 5 (1.58), surgical intervention (1.71) and multiple surgeries (2.41). We found that patients with simplified score values ≥21 points were at a maximum risk (>30%) for developing severe pulmonary complications.ConclusionThis scoring method could help trauma surgeons determine which multiple trauma patients are at risk for pulmonary complications after trauma. Efficacy analyses of prophylactic PEEP ventilation or rotational bed therapy in subgroups with comparable risks for respiratory complication could be based on the LOFS.     

Development and validation of a new pediatric resuscitation and trauma outcome (PRESTO) model using the U.S. National Trauma Data Bank

Background

There is a need for a pediatric trauma outcomes benchmarking model that is adapted for Low-and-Middle-Income Countries (LMICs). We used the National-Trauma-Data-Bank (NTDB) and applied constraints specific to resource-poor environments to develop and validate an LMIC-specific pediatric trauma score.

Prediction of intra-hospital mortality after severe trauma: which pre-hospital score is the most accurate?

PurposeComputing trauma scores in the field allows immediate severity assessment for appropriate triage. Two pre-hospital scores can be useful in this context: the Triage-Revised Trauma Score (T-RTS) and the Mechanism, Glasgow, Age and arterial Pressure (MGAP) score. The Trauma Revised Injury Severity Score (TRISS), not applicable in the pre-hospital setting, is the reference score to predict in-hospital mortality after severe trauma. The aim of this study was to compare T-RTS, MGAP and TRISS in a cohort of consecutive patients admitted in the Trauma system of the Northern French Alps(TRENAU).Materials and methodsFrom 2009 to 2011, 3260 patients with suspected severe trauma according to the Vittel criteria were included in the TRENAU registry. All data necessary to compute T-RTS, MGAP and TRISS were collected in patients admitted to one level-I, two level-II and ten level-III trauma centers. The primary endpoint was death from any cause during hospital stay. Discriminative power of each score to predict mortality was measured using receiver operating curve (ROC) analysis. To test the relevancy of each score for triage, we also tested their sensitivity at usual cut-offs. We expected a sensitivity higher than 95% to limit undertriage.ResultsThe TRISS score showed the highest area under the ROC curve (0.95 [CI 95% 0.94–0.97], p < 0.01). Pre-hospital MGAP score had significantly higher AUC compared to T-RTS (0.93 [CI 95% 0.91–0.95] vs 0.86 [CI 95% 0.83–0.89], respectively, p < 0.01). MGAP score < 23 had a sensitivity of 88% to detect mortality. Sensitivities of T-RTS < 12 and TRISS < 0.91 were 79% and 87%, respectively.Discussion/conclusionPre-hospital calculation of the MGAP score appeared superior to T-RTS score in predicting intra-hospital mortality in a cohort of trauma patients. Although TRISS had the highest AUC, this score can only be available after hospital admission. These findings suggest that the MGAP score could be of interest in the pre-hospital setting to assess patients’ severity. However, its lack of sensitivity indicates that MGAP should not replace the decision scheme to direct the most severe patients to level-I trauma center.     

Improving prehospital trauma care in Rwanda through continuous quality improvement: an interrupted time series analysis

IntroductionInjury is a major cause of premature death and disability in East Africa, and high-quality pre-hospital care is essential for optimal trauma outcomes. The Rwandan pre-hospital emergency care service (SAMU) uses an electronic database to evaluate and optimize pre-hospital care through a continuous quality improvement programme (CQIP), beginning March 2014.Materials and methodsThe SAMU database was used to assess pre-hospital quality metrics including supplementary oxygen for hypoxia (O2), intravenous fluids for hypotension (IVF), cervical collar placement for head injuries (c-collar), and either splinting (splint) or administration of pain medications (pain) for long bone fractures. Targets of >90% were set for each metric and daily team meetings and monthly feedback sessions were implemented to address opportunities for improvement. These five pre-hospital quality metrics were assessed monthly before and after implementation of the CQIP. Met and unmet needs for O2, IVF, and c-collar were combined into a summative monthly SAMU Trauma Quality Scores (STQ score). An interrupted time series linear regression model compared the STQ score during 14 months before the CQIP implementation to the first 14 months after.ResultsDuring the 29-month study period 3,822 patients met study criteria. 1,028 patients needed one or more of the five studied interventions during the study period. All five endpoints had a significant increase between the pre-CQI and post-CQI periods (p < 0.05 for all), and all five achieved a post-CQI average of at least 90% completion. The monthly composite STQ scores ranged from 76.5 to 97.9 pre-CQI, but tightened to 86.1-98.7 during the post-CQI period. Interrupted time series analysis of the STQ score showed that CQI programme led to both an immediate improvement of +6.1% (p = 0.017) and sustained monthly improvements in care delivery—improving at a rate of 0.7% per month (p = 0.028).ConclusionThe SAMU experience demonstrates the utility of a responsive, data-driven quality improvement programme to yield significant immediate and sustained improvements in pre-hospital care for trauma in Rwanda. This programme may be used as an example for additional efforts engaging frontline staff with real-time data feedback in order to rapidly translate data collection efforts into improved care for the injured in a resource-limited setting.     

External benchmarking of trauma services in New South Wales: Risk-adjusted mortality after moderate to severe injury from 2012 to 2016

Background

Trauma centres and systems have been associated with improved morbidity and mortality after injury. However, variability in outcomes across centres within a given system have been demonstrated. Performance improvement initiatives, that utilize external benchmarking as the backbone, have demonstrated system-wide improvements in outcomes. This data driven approach has been lacking in Australia to date. Recent improvement in local data quality may provide the opportunity to engage in data driven performance improvement. Our objective was to generate risk-adjusted outcomes for the purpose of external benchmarking of trauma services in New South Wales (NSW) based on existing data standards.