Classifying, measuring and improving the quality of data in trauma registries: A review of the literature

Consensus recommendations for acute trauma care & outcomes in LMICs from the transdisciplinary research, advocacy & implementation network for trauma in India

Background & objectives Injuries profoundly impact global health, with substantial deaths and disabilities, especially in low- and middle-income countries (LMICs). This paper presents strategic consensus from the Transdisciplinary Research, Advocacy, and Implementation Network for Trauma in India (TRAIN Trauma India) symposium, advocating for enhanced, system-level trauma care to address this challenge. Methods Five working groups conducted separate literature reviews on pre-hospital trauma care, in-hospital trauma resuscitation and training, trauma systems, trauma registries, and India's Towards Improving Trauma Care Outcomes (TITCO) registry. Using a Delphi approach, the TRAIN Trauma India Symposium generated consensus statements and recommendations for interventions to streamline trauma care and reduce preventable trauma mortality in India and LMICs. Experts prioritized interventions based on cost and difficulty. Results An expert panel agreed on four pre-hospital consensus statements, eight hospital resuscitation consensus statements, six system-level consensus statements, and six trauma registry consensus statements. The expert panel recommended six pre-hospital interventions, four hospital resuscitation interventions, nine system-level interventions, and seven trauma registry interventions applicable to the Indian context. Of these, 14 interventions were ranked as low cost/low difficulty, five high cost/low difficulty, five low cost/high difficulty, and three high cost/high difficulty. Interpretation & conclusions This consensus underscores the urgent need for integrated and efficient trauma systems to reduce preventable mortality, emphasizing the importance of comprehensive care that includes community engagement and robust pre-hospital and acute hospital trauma care pathways. It highlights the critical role of inclusive, system-wide approaches, from enhancing pre-hospital care and in-hospital resuscitation to implementing effective trauma registries to improve outcomes and streamline care across contexts.

Injury severity bias in missing prehospital vital signs: Prevalence and implications for trauma registries

BACKGROUND

Vital signs are important factors in assessing injury severity and guiding trauma resuscitation, especially among severely injured patients. Despite this, physiological data are frequently missing from trauma registries. This study aimed to evaluate the extent of missing prehospital data in a hospital-based trauma registry and to assess the associations between prehospital physiological data completeness and indicators of injury severity.

METHODS

A retrospective review was conducted on all adult trauma patients brought directly to a level 1 trauma center in Toronto, Ontario by paramedics from January 1, 2015, to December 31, 2019. The proportion of missing data was evaluated for each variable and patterns of missingness were assessed. To investigate the associations between prehospital data completeness and injury severity factors, descriptive and unadjusted logistic regression analyses were performed.

RESULTS

A total of 3,528 patients were included. We considered prehospital data missing if any of heart rate, systolic blood pressure, respiratory rate or oxygen saturation were incomplete. Each individual variable was missing from the registry in approximately 20 % of patients, with oxygen saturation missing most frequently (n = 831; 23.6 %). Over 25 % (n = 909) of patients were missing at least one prehospital vital sign, of which 69.1 % (n = 628) were missing all four of these variables. Patients with incomplete data were more severely injured, had higher mortality, and more frequently received lifesaving interventions such as blood transfusion and intubation. Patients were most likely to have missing prehospital physiological data if they died in the trauma bay (unadjusted OR: 9.79; 95 % CI: 6.35-15.10), did not survive to discharge (unadjusted OR: 3.55; 95 % CI: 2.76-4.55), or had a prehospital GCS less than 9 (OR: 3.24; 95 % CI: 2.59-4.06).

CONCLUSION

In this single center trauma registry, key prehospital variables were frequently missing, particularly among more severely injured patients. Patients with missing data had higher mortality, more severe injury characteristics and received more life-saving interventions in the trauma bay, suggesting an injury severity bias in prehospital vital sign missingness. To ensure the validity of research based on trauma registry data, patterns of missingness must be carefully considered to ensure missing data is appropriately addressed.

Missing patient registrations in the Dutch National Trauma Registry of Southwest Netherlands: Prevalence and epidemiology

INTRODUCTION

Health care patient records have been digitalised the past twenty years, and registries have been automated. Missing registrations are common, and can result in selection bias.

OBJECTIVE

To assess the prevalence and characteristics of missed registrations in a Dutch regional trauma registry.

METHODS

An automatically generated trauma registry export was done for ten out of eleven hospitals in trauma region Southwest Netherlands, between June 1 and August 31, 2020. Second, lists were checked for being falsely flagged as 'non-trauma'. Finally, a list was generated with trauma tick box flagged as 'trauma' but were not automatically in the export due to administrative errors. Automated and missed registration datasets were compared on patient characteristics and logistic regression models were run with random intercepts and missed registration as outcome variable on the complete dataset.

RESULTS

A total of 2,230 automated registrations and 175 (7.3 %) missed registrations were included for the Dutch National Trauma Registry, ranging from 1 to 14 % between participating hospitals. Patients of the missed registration dataset had characteristics of a higher level of care, compared with patients of automated registrations. Level of trauma care (level II OR 0.464 95 % CI 0.328-0.666, p < 0.001; level III OR 0.179 95 % CI 0.092-0.325, p < 0.001), major trauma (OR 2.928 95 % CI 1.792-4.65, p < 0.001), ICU admission (OR 2.337 95 % CI 1.792-4.650, p < 0.001), and surgery (OR 1.871 95 % CI 1.371-2.570, p < 0.001) were potential predictors for missed registrations in multivariate logistic regression analysis.

CONCLUSION

Missed registrations occur frequently and the rate of missed registrations differs greatly between hospitals. Automated and missed registration datasets display differences related to patients requiring more intensive care, which held for the major trauma subset. Checking for missed registrations is time consuming, automated registration lists need a human touch for validation and to be complete.

Frameworks, Dimensions, Definitions of Aspects, and Assessment Methods for the Appraisal of Quality of Health Data for Secondary Use: Comprehensive Overview of Reviews

BACKGROUND

Health care has not reached the full potential of the secondary use of health data because of-among other issues-concerns about the quality of the data being used. The shift toward digital health has led to an increase in the volume of health data. However, this increase in quantity has not been matched by a proportional improvement in the quality of health data.

OBJECTIVE

This review aims to offer a comprehensive overview of the existing frameworks for data quality dimensions and assessment methods for the secondary use of health data. In addition, it aims to consolidate the results into a unified framework.

METHODS

A review of reviews was conducted including reviews describing frameworks of data quality dimensions and their assessment methods, specifically from a secondary use perspective. Reviews were excluded if they were not related to the health care ecosystem, lacked relevant information related to our research objective, and were published in languages other than English.

RESULTS

A total of 22 reviews were included, comprising 22 frameworks, with 23 different terms for dimensions, and 62 definitions of dimensions. All dimensions were mapped toward the data quality framework of the European Institute for Innovation through Health Data. In total, 8 reviews mentioned 38 different assessment methods, pertaining to 31 definitions of the dimensions.

CONCLUSIONS

The findings in this review revealed a lack of consensus in the literature regarding the terminology, definitions, and assessment methods for data quality dimensions. This creates ambiguity and difficulties in developing specific assessment methods. This study goes a step further by assigning all observed definitions to a consolidated framework of 9 data quality dimensions.

Pilot Study of a Software Application to Identify Trauma Registry Inconsistencies

BACKGROUND

Trauma registries are essential to the functioning of modern trauma centers, and high-quality data are necessary to identify patient care issues, develop evidence-based practice, and more. However, institutional experience suggested existing methods to evaluate data quality were insufficient.

OBJECTIVE

This study aims to compare a new software application developed at our trauma center to our existing trauma registry platform on the ability to identify registry inconsistencies (i.e., potential data quality issues).

METHODS

We conducted a pilot retrospective cohort study of patients from September 2019 to August 2020 who underwent chart review during a Level I verification visit and had been audited several times for accuracy. Registry records were processed by both validation systems, and registry inconsistencies were recorded.

RESULTS

In registry data for 63 patients, the new software found 225 registry inconsistencies, and the registry systems found 153 inconsistencies. The most frequent inconsistencies identified by the new software were missing or unknown procedure start times, with 18/63 (28.6%) patients affected and prehospital supplemental oxygen being blank, with 29/53 (54.7%) patients with prehospital care affected. None of the 10 most common inconsistencies detected with the registry systems were true issues.

CONCLUSIONS

This study found the new software application identified 47% more inconsistencies than the standard registry systems, and none of the most frequent inconsistencies detected with the registry systems were true issues pertinent to institutional practice. Centers should consider additional methods to identify registry inconsistencies as existing processes appear insufficient.

Protocol for the Evaluation of Data-Related Processes and Challenges at Level 1-4 Trauma Centers in Arkansas: A Mixed-Methods Case Study

Background

In the following manuscript, we describe the detailed protocol for a mixed-methods, observational case study conducted to identify and evaluate existing data-related processes and challenges currently faced by trauma centers in a rural state. The data will be utilized to assess the impact of these challenges on registry data collection.

Methods

The study relies on a series of interviews and observations to collect data from trauma registry staff at level 1-4 trauma centers across the state of Arkansas. A think-aloud protocol will be used to facilitate observations as a means to gather keystroke-level modeling data and insight into site processes and workflows for collecting and submitting data to the Arkansas Trauma Registry. Informal, semi-structured interviews will follow the observation period to assess the participant's perspective on current processes, potential barriers to data collection or submission to the registry, and recommendations for improvement. Each session will be recorded and de-identified transcripts and session notes will be used for analysis. Keystroke level modeling data derived from observations will be extracted and analyzed quantitatively to determine time spent performing end-to-end registry-related activities. Qualitative data from interviews will be reviewed and coded by 2 independent reviewers following a thematic analysis methodology. Each set of codes will then be adjudicated by the reviewers using a consensus-driven approach to extrapolate the final set of themes.

Discussion

We will utilize a mixed methods approach to understand existing processes and barriers to data collection for the Arkansas Trauma Registry. Anticipated results will provide a baseline measure of the data collection and submission processes at various trauma centers across the state. We aim to assess strengths and limitations of existing processes and identify existing barriers to interoperability. These results will provide first-hand knowledge on existing practices for the trauma registry use case and will provide quantifiable data that can be utilized in future research to measure outcomes of future process improvement efforts. The potential implications of this study can form the basis for identifying potential solutions for streamlining data collection, exchange, and utilization of trauma registry data for clinical practice, public health, and clinical and translational research.

Excellent agreement of Norwegian trauma registry data compared to corresponding data in electronic patient records

BACKGROUND

The Norwegian Trauma Registry (NTR) is designed to monitor and improve the quality and outcome of trauma care delivered by Norwegian trauma hospitals. Patient care is evaluated through specific quality indicators, which are constructed of variables reported to the registry by certified registrars. Having high-quality data recorded in the registry is essential for the validity, trust and use of data. This study aims to perform a data quality check of a subset of core data elements in the registry by assessing agreement between data in the NTR and corresponding data in electronic patient records (EPRs).

METHODS

We validated 49 of the 118 variables registered in the NTR by comparing those with the corresponding ones in electronic patient records for 180 patients with a trauma diagnosis admitted in 2019 at eight public hospitals. Agreement was quantified by calculating observed agreement, Cohen's Kappa and Gwet's first agreement coefficient (AC1) with 95% confidence intervals (CIs) for 27 nominal variables, quadratic weighted Cohen's Kappa and Gwet's second agreement coefficient (AC2) for five ordinal variables. For nine continuous, one date and seven time variables, we calculated intraclass correlation coefficient (ICC).

RESULTS

Almost perfect agreement (AC1 /AC2/ ICC > 0.80) was observed for all examined variables. Nominal and ordinal variables showed Gwet's agreement coefficients ranging from 0.85 (95% CI: 0.79-0.91) to 1.00 (95% CI: 1.00-1.00). For continuous and time variables there were detected high values of intraclass correlation coefficients (ICC) between 0.88 (95% CI: 0.83-0.91) and 1.00 (CI 95%: 1.00-1.00). While missing values in both the NTR and EPRs were in general negligeable, we found a substantial amount of missing registrations for a continuous "Base excess" in the NTR. For some of the time variables missing values both in the NTR and EPRs were high.

CONCLUSION

All tested variables in the Norwegian Trauma Registry displayed excellent agreement with the corresponding variables in electronic patient records. Variables in the registry that showed missing data need further examination.

Facilitators and barriers impacting in-hospital Trauma Quality Improvement Program (TQIP) implementation across country income levels: a scoping review

OBJECTIVE

Trauma is a leading cause of mortality and morbidity globally, disproportionately affecting low/middle-income countries (LMICs). Understanding the factors determining implementation success for in-hospital Trauma Quality Improvement Programs (TQIPs) is critical to reducing the global trauma burden. We synthesised topical literature to identify key facilitators and barriers to in-hospital TQIP implementation across country income levels.

DESIGN

Scoping review.

DATA SOURCES

PubMed, Web of Science and Global Index Medicus databases were searched from June 2009 to January 2022.

ELIGIBILITY CRITERIA

Published literature involving any study design, written in English and evaluating any implemented in-hospital quality improvement programme in trauma populations worldwide. Literature that was non-English, unpublished and involved non-hospital TQIPs was excluded.

DATA EXTRACTION AND SYNTHESIS

Two reviewers completed a three-stage screening process using Covidence, with any discrepancies resolved through a third reviewer. Content analysis using the Consolidated Framework for Implementation Research identified facilitator and barrier themes for in-hospital TQIP implementation.

RESULTS

Twenty-eight studies met the eligibility criteria from 3923 studies identified. The most discussed in-hospital TQIPs in included literature were trauma registries. Facilitators and barriers were similar across all country income levels. The main facilitator themes identified were the prioritisation of staff education and training, strengthening stakeholder dialogue and providing standardised best-practice guidelines. The key barrier theme identified in LMICs was poor data quality, while high-income countries (HICs) had reduced communication across professional hierarchies.

CONCLUSIONS

Stakeholder prioritisation of in-hospital TQIPs, along with increased knowledge and consensus of trauma care best practices, are essential efforts to reduce the global trauma burden. The primary focus of future studies on in-hospital TQIPs in LMICs should target improving registry data quality, while interventions in HICs should target strengthening communication channels between healthcare professionals.

Data quality assessment in emergency medical services: an objective approach

BACKGROUND

In emergency medical services, high quality data are of great importance for patient care. Due to the unique nature of this type of services, the purpose of this study was to assess data quality in emergency medical services using an objective approach.

METHODS

This was a retrospective quantitative study conducted in 2019. The research sample included the emergency medical records of patients who referred to three emergency departments by the pre-hospital emergency care services (n = 384). Initially a checklist was designed based on the data elements of the triage form, pre-hospital emergency care form, and emergency medical records. Then, data completeness, accuracy and timeliness were assessed.

RESULTS

Data completeness in the triage form, pre-hospital emergency care form, and emergency medical records was 52.3%, 70% and 57.3%, respectively. Regarding data accuracy, most of the data elements were consistent. Measuring data timeliness showed that in some cases, paper-based ordering and computer-based data entry was not sequential.

CONCLUSION

Data quality in emergency medical services was not satisfactory and there were some weaknesses in the documentation processes. The results of this study can inform the clinical and administrative staff to pay more attentions to these weaknesses and plan for data quality improvement.

Trends in data quality and quality indicators 5 years after implementation of the Dutch Hip Fracture Audit

PURPOSE

The Dutch Hip Fracture Audit (DHFA), a nationwide hip fracture registry in the Netherlands, registers hip fracture patients and aims to improve quality of care since 2016. This study shows trends in the data quality during the first 5 years of data acquisition within the DHFA, as well as trends over time for designated quality indicators (QI).

METHODS

All patients registered in the DHFA between 1-1-2016 and 31-12-2020 were included. Data quality-registry case coverage and data completeness-and baseline characteristics are reported. Five QI are analysed: Time to surgery < 48 h, assessment for osteoporosis, orthogeriatric co-management, registration of functional outcomes at three months, 30-day mortality. The independent association between QI results and report year was tested using mixed-effects logistic models and in the case of 30-day mortality adjusted for casemix.

RESULTS

In 2020, the case capture of the DHFA comprised 85% of the Dutch hip fracture patients, 66/68 hospitals participated. The average of missing clinical values was 7.5% in 2016 and 3.2% in 2020. The 3 months follow-up completeness was 36.2% (2016) and 46.8% (2020). The QI 'time to surgery' was consistently high, assessment for osteoporosis remained low, orthogeriatric co-management scores increased without significance, registration of functional outcomes improved significantly and 30-day mortality rates remained unchanged.

CONCLUSION

The DHFA has successfully been implemented in the past five years. Trends show improvement on data quality. Analysis of several QI indicate points of attention. Future perspectives include lowering the burden of registration, whilst improving (registration of) hip fracture patients outcomes.

Rural and urban patterns of severe injuries and hospital mortality in Australia: An analysis of the Australia New Zealand Trauma Registry: 2015-2019

INTRODUCTION

In Australia, people living in rural areas, compared to major cities are at greater risk of poor health. There is much evidence of preventable disparities in trauma outcomes, however research quantifying geographic variations in injuries, pathways to specialised care and patient outcomes is scarce.

AIMS

(i) To analyse the Australia New Zealand Trauma Registry (ATR) data and report patterns of serious injuries according to rurality of the injury location ii) to examine the relationship between rurality and hospital mortality and iii) to compare ATR death rates with all deaths from similar causes, Australia-wide.

METHOD

A retrospective cohort study of patients in the ATR from 1^st July 2015 to 30^th June 2019 was conducted. Descriptive analyses of trauma variables according to rurality was performed. Logistic regression quantified the moderating effect of rurality on trauma variables and hospital mortality. Australian death data on similar injuries were sourced to quantify the additional mortality attributable to severe injury occurring outside Major Trauma Centres (MTCs).

RESULTS

Compared to major cities, rural patients were younger, more likely to have spinal cord injuries, and sustain traffic-related injuries that are 'off road'. Injuries occurring outside people's homes are more likely. Mortality risk was greater for patients sustaining severe traumatic brain injury (TBI) spinal cord injury (SCI) and head trauma in addition to intentional injuries. Compared to the ATR data, Australian population-wide trauma mortality rates showed diverging trends according to rurality. The ATR only captures 14.1% of all injury deaths occurring in major cities and, respectively, 6.3% and 3.2% of deaths in regional and remote areas.

CONCLUSION

Compared to major cities, injuries occurring in rural areas of Australia often involve different mechanisms and result in different types of severe injuries. Patients with neurotrauma and intentional injuries who survived to receive definitive care at a MTC were at higher risk of hospital death. To inform prevention strategies and reduce morbidity and mortality associated with rural trauma, improvements to data systems are required that involve data linkage and include information about patient care from pre-hospital providers, regional hospitals and major trauma centres.

Improving injury surveillance data quality: a study based on hospitals contributing to the Victorian Emergency Minimum Dataset

OBJECTIVE

In this paper, we describe the design and baseline data of a study aimed at improving injury surveillance data quality of hospitals contributing to the Victorian Emergency Minimum Dataset (VEMD).

METHODS

The sequential study phases include a baseline analysis of data quality, direct engagement and communication with each of the emergency department (ED) hospital sites, collection of survey and interview data and ongoing monitoring.

RESULTS

In 2019/20, there were 371,683 injury-related ED presentations recorded in the VEMD. Percentage unspecified, the indicator of (poor) data quality, was lowest for 'body region' (2.7%) and 'injury type' (7.4%), and highest for 'activity when injured' (29.4%). In the latter, contributing hospitals ranged from 3.0-99.9% unspecified. The 'description of event' variable had a mean word count of 10; 16/38 hospitals had a narrative word count of <5.

CONCLUSIONS

Baseline hospital injury surveillance data vary vastly in data quality, leaving much room for improvement and justifying intervention as described. Implications for public health: Hospital engagement and feedback described in this study is expected to have a marked effect on data quality from 2021 onwards. This will ensure that Victorian injury surveillance data can fulfil their purpose to accurately inform injury prevention policy and practice.

Making trauma registries more useful for improving patient care: A survey of trauma care and trauma registry stakeholders across Australia and New Zealand

INTRODUCTION

Injury is a major global health burden. Trauma registries have been used for decades to monitor the burden of injury and inform trauma care. However, the extent to which trauma registries have fulfilled their potential remains uncertain. The aims of this study were to determine the current and priority uses of trauma registries across Australia and New Zealand and to establish the priority clinical outcomes, the probability for which, if known for an individual trauma patient, would better inform that same patient's care, during hospital admission.

METHODS

A prospective observational study using survey methodology was conducted. Participants were sourced from the Australia New Zealand Trauma Registry (ATR) participating hospitals. The survey questions included: the current uses and priorities for both single-site trauma registries and the binational trauma registry; the five top-ranked priority outcomes for which knowing the probability, for an individual patient, would inform care; and the priority timepoints for applying patient-level outcome prediction models.

RESULTS

Of the 26 ATR-participating hospitals, 25 were represented by a total of 54 participants in the survey, including trauma service directors and trauma nurse coordinators. The main trauma registry use and priority for the single site registries was to inform the quality improvement program; for the ATR, the main use was periodic reporting and the main priority was benchmarking. For each potential purpose of the registry, the future priority level was ranked more highly than the current level of utilisation. The most highly ranked priority patient-level outcomes requiring prediction were: preventable death, missed injury, quality of life, admission costs, pulmonary embolism, post-traumatic stress disorder, length of hospital stay, errors in decision-making and deep venous thrombosis. The time period between leaving the emergency department and the 24 h mark following presentation was considered the preferred time for patient-level priority outcome prediction.

CONCLUSION

There is a mismatch between current trauma registry uses and future priorities. The priority outcomes demanding prediction in the first 24 h of a trauma patient's stay are preventable death, missed injury, quality of life, hospital costs, thromboembolism, post-traumatic stress disorder, length of hospital stay and errors in clinical decision-making.

Accuracy of injury coding in a trauma registry

Introduction

Abbreviated Injury Scale has significant advantages over administrative coding systems for trauma analytics as it was developed specifically for injury, provides greater depth of characterisation of injury and has an integrated severity measure. It is used by trauma registries globally as it allows benchmarking between registries and is used to drive quality improvement. However, the consistency of scoring between individuals is not well understood. An audit was undertaken in six tertiary trauma centres in New Zealand to determine variation between AIS coders.

Methods

Each of six sites was audited by two experienced auditors. A random selection of case was identified in ISS categories 13–24, 25–44 and 45+. The case notes were pulled, and the auditors independently audited the notes,and then compared their results for a consensus result. The consensus result was then compared with the original coders.

Results

111 cases were audited. Coding concordance was found in 31% of cases. Of the 69% of cases where discordant coding was observed, the discordance was attributed to incorrect coding (49%), missed injuries (43%) and other reasons (7%). Head and chest body regions were associated with the greatest number, and largest differences in coding scores. The overall mean difference across all cases was an ISS score of 1.

Conclusions

The overall accuracy of data held in the New Zealand Trauma Registry (NZTR) is suitable for quality improvement and benchmarking purposes, but more work is needed to improve the accuracy of individual cases, particularly those with head/neck and chest injury. Standardised tools to ensure the accuracy of data in a trauma registry is a gap which needs to be addressed to maintain confidence in a contemporary trauma system.

Accuracy of institutional orthopedic trauma databases: a retrospective chart review

Introduction

Academic trauma institutions rely on fracture databases as research and quality control tools. Frequently, these databases are populated by trainees, but the completeness and accuracy of such databases has not yet been evaluated. The purpose of this study is to determine the capture rate of a resident-populated database in collecting extremity fractures and to determine the accuracy of assigned Orthopaedic Trauma Association (OTA) classifications.

Materials and methods

A retrospective study was performed at a level 1 trauma center of all adult patients who underwent treatment for extremity fractures after an emergency department or inpatient consultation. A 20% random sample was taken from these entries and compared to a resident-populated fracture database designed to capture the same patients. For all matching records containing a resident-assigned OTA classification, relevant imaging was blindly reviewed by a trauma fellowship-trained orthopedic attending surgeon for fracture pattern classification. Resident OTA classifications were compared to this gold standard to determine overall accuracy rate.

Results

Three hundred eighteen (80%) out of 400 entries were captured by the resident-populated database. Two hundred thirty-one of these 318 entries contained an OTA classification. One hundred fifty-three (66%) of these 231 entries demonstrated concordance between resident and attending assigned OTA classifications. On subgroup analysis, 133 (70%) of the 190 lower extremity classifications were accurately identified as compared to just 20 (49%) of the 41 upper extremity classifications (p = 0.009). Seventy-nine (65%) of the 121 end segment fractures showed agreement versus 42 (67%) of the 63 diaphyseal injury patterns (p = 0.85). Accuracy of classification did not significantly vary by resident year of training (p = 0.142).

Conclusion

Trainee generated databases at academic institutions may be subject to incomplete data entry and inaccurate fracture classifications. Quality control measures should be instituted to ensure accuracy in such databases if efforts are invested with the expectation of useful information.

Comparison of trauma management between two major trauma services in Riyadh, Kingdom of Saudi Arabia and Melbourne, Australia

INTRODUCTION

The burden of injury in the Kingdom of Saudi Arabia (KSA) has increased in recent years, but the country has lacked a consistent methodology for collecting injury data. A trauma registry has been established at a large public hospital in Riyadh from which these data are now available.

OBJECTIVES

We aimed to provide an overview of trauma epidemiology by reviewing the first calendar year of data collection for the registry. Risk-adjusted analyses were performed to benchmark outcomes with a large Australian major trauma service in Melbourne. The findings are the first to report the trauma profile from a centre in the KSA and compare outcomes with an international level I trauma centre.

METHODS

This was an observational study using records with injury dates in 2018 from the registries at both hospitals. Demographics, processes and outcomes were extracted, as were baseline characteristics. Risk-adjusted endpoints were inpatient mortality and length of stay. Binary logistic regression was used to measure the association between site and inpatient mortality.

RESULTS

A total of 2436 and 4069 records were registered on the Riyadh and Melbourne databases, respectively. There were proportionally more men in the Saudi cohort than the Australian cohort (86% to 69%). The Saudi cohort was younger, the median age being 36 years compared with 50 years, with 51% of injuries caused by road traffic incidents. The risk-adjusted length of stay was 4.4 days less at the Melbourne hospital (95% CI 3.95 days to 4.86 days, p<0.001). The odds of in-hospital death were also less (OR 0.25; 95% CI 0.15 to 0.43, p<0.001).

CONCLUSIONS

This is the first hospital-based study of trauma in the kingdom that benchmarks with an individual international centre. There are limitations to interpreting the comparisons, however the findings have established a baseline for measuring continuous improvement in outcomes for KSA trauma services.

Anomaly Detection Algorithm for Real-World Data and Evidence in Clinical Research: Implementation, Evaluation, and Validation Study

BACKGROUND

Statistical analysis, which has become an integral part of evidence-based medicine, relies heavily on data quality that is of critical importance in modern clinical research. Input data are not only at risk of being falsified or fabricated, but also at risk of being mishandled by investigators.

OBJECTIVE

The urgent need to assure the highest data quality possible has led to the implementation of various auditing strategies designed to monitor clinical trials and detect errors of different origin that frequently occur in the field. The objective of this study was to describe a machine learning-based algorithm to detect anomalous patterns in data created as a consequence of carelessness, systematic error, or intentionally by entering fabricated values.

METHODS

A particular electronic data capture (EDC) system, which is used for data management in clinical registries, is presented including its architecture and data structure. This EDC system features an algorithm based on machine learning designed to detect anomalous patterns in quantitative data. The detection algorithm combines clustering with a series of 7 distance metrics that serve to determine the strength of an anomaly. For the detection process, the thresholds and combinations of the metrics were used and the detection performance was evaluated and validated in the experiments involving simulated anomalous data and real-world data.

RESULTS

Five different clinical registries related to neuroscience were presented-all of them running in the given EDC system. Two of the registries were selected for the evaluation experiments and served also to validate the detection performance on an independent data set. The best performing combination of the distance metrics was that of Canberra, Manhattan, and Mahalanobis, whereas Cosine and Chebyshev metrics had been excluded from further analysis due to the lowest performance when used as single distance metric-based classifiers.

CONCLUSIONS

The experimental results demonstrate that the algorithm is universal in nature, and as such may be implemented in other EDC systems, and is capable of anomalous data detection with a sensitivity exceeding 85%.

Trauma Data Quality Improvement: One Center's Experience With Telecommuting and Paperless Data Management

The American College of Surgeons requires that trauma centers collect and enter data into the National Trauma Data Registry in compliance with the National Trauma Data Standard. ProMedica supports employment of 4 trauma data analysts who are responsible for entering information in a timely manner, validating the data, and analyzing data to evaluate established benchmarks and support the performance improvement and patient safety process. Historically, these analysts were located on-site at ProMedica Toledo Hospital. In 2017, a proposal was developed including modifications to data collection to streamline processes, move toward paperless documentation, and allow for the analysts to telecommute. To measure the effect of these changes, the timeliness of data entry, rate of data validation, productivity, and staff satisfaction were measured. After the transition to electronic data management and home-based workstations, registry data were being entered within 30 days and 100% of cases were being validated, without sacrificing effective and efficient communication between in-hospital and home-based staff. The institution also benefitted from reduced expense for physical space, employee turnover, and decreased employee absenteeism. The analysts appreciated benefits related to time, travel, environment, and job satisfaction.It is feasible to transition trauma data analysts to a work-from-home situation. An all-electronic system of data management and communication makes such an arrangement possible and sustainable. This quality improvement project solved a workspace issue and was beneficial to the trauma program overall, with the timeliness and validation of data entry vastly improved.

Improving the accuracy of ICD-10 coding of morbidity/mortality data through the introduction of an electronic diagnostic terminology tool at the general hospitals in Lagos, Nigeria

Background

Reliable information which can only be derived from accurate data is crucial to the success of the health system. Since encoded data on diagnoses and procedures are put to a broad range of uses, the accuracy of coding is imperative. Accuracy of coding with the International Classification of Diseases, 10th revision (ICD-10) is impeded by a manual coding process that is dependent on the medical records officers’ level of experience/knowledge of medical terminologies.

Aim statement

To improve the accuracy of ICD-10 coding of morbidity/mortality data at the general hospitals in Lagos State from 78.7% to ≥95% between March 2018 and September 2018.

Methods

A quality improvement (QI) design using the Plan–Do–Study–Act cycle framework. The interventions comprised the introduction of an electronic diagnostic terminology software and training of 52 clinical coders from the 26 general hospitals. An end-of-training coding exercise compared the coding accuracy between the old method and the intervention. The outcome was continuously monitored and evaluated in a phased approach.

Results

Research conducted in the study setting yielded a baseline coding accuracy of 78.7%. The use of the difficult items (wrongly coded items) from the research for the end-of-training coding exercise accounted for a lower coding accuracy when compared with baseline. The difference in coding accuracy between manual coders (47.8%) and browser-assisted coders (54.9%) from the coding exercise was statistically significant. Overall average percentage coding accuracy at the hospitals over the 12-month monitoring and evaluation period was 91.3%.

Conclusion

This QI initiative introduced a stop-gap for improving data coding accuracy in the absence of automated coding and electronic health record. It provides evidence that the electronic diagnostic terminology tool does improve coding accuracy and with continuous use/practice should improve reliability and coding efficiency in resource-constrained settings.

The unknown denominator problem in population studies of disease frequency

Problems related to unknown or imprecisely measured populations at risk are common in epidemiologic studies of disease frequency. The size of the population at risk is typically conceptualized as a denominator to be used in combination with a count of disease cases (a numerator) to calculate incidence or prevalence. However, the size of the population at risk can take other epidemiologic properties in relation to an exposure of interest and the count outcome, including confounding, modification, and mediation. Using spatial ecological studies of injury incidence as an example, we identify and evaluate five approaches that researchers have used to address "unknown denominator problems": ignoring, controlling for a proxy, approximating, controlling by study design, and measuring the population at risk. We present a case example and recommendations for selecting a solution given the data and the hypothesized relationship between an exposure of interest, a count outcome, and the population at risk.

The Dutch nationwide trauma registry: The value of capturing all acute trauma admissions

INTRODUCTION

Twenty years ago the Dutch trauma care system was reformed by the designating 11 level one Regional trauma centres (RTCs) to organise trauma care. The RTCs set up the Dutch National Trauma Registry (DNTR) to evaluate epidemiology, patient distribution, resource use and quality of care. In this study we describe the DNTR, the incidence and main characteristics of Dutch acutely admitted trauma patients, and evaluate the value of including all acute trauma admissions compared to more stringent criteria applied by the national trauma registries of the United Kingdom and Germany.

METHODS

The DNTR includes all injured patients treated at the ED within 48 hours after trauma and consecutively followed by direct admission, transfers to another hospital or death at the ED. DNTR data on admission years 2007-2018 were extracted to describe the maturation of the registry. Data from 2018 was used to describe the incidence rate and patient characteristics. Inclusion criteria of the Trauma Audit and Research (TARN) and the Deutsche Gesellschaft für Unfallchirurgie (DGU) were applied on 2018 DNTR data.

RESULTS

Since its start in 2007 a total of 865,460 trauma cases have been registered in the DNTR. Hospital participation increased from 64% to 98%. In 2018, a total of 77,529 patients were included, the median age was 64 years, 50% males. Severely injured patients with an ISS≥16, accounted for 6% of all admissions, of which 70% was treated at designated RTCs. Patients with an ISS≤ 15were treated at non-RTCs in 80% of cases. Application of DGU or TARN inclusion criteria, resulted in inclusion of respectively 5% and 32% of the DNTR patients. Particularly children, elderly and patients admitted at non-RTCs are left out. Moreover, 50% of ISS≥16 and 68% of the fatal cases did not meet DGU inclusion criteria CONCLUSION: The DNTR has evolved into a comprehensive well-structured nationwide population-based trauma register. With 80,000 inclusions annually, the DNTR has become one of the largest trauma databases in Europe The registries strength lies in the broad inclusion criteria which enables studies on the burden of injury and the quality and efficiency of the entire trauma care system, encompassing all trauma-receiving hospitals.

Pull back the curtain: External data validation is an essential element of quality improvement benchmark reporting

BACKGROUND

Accurate and reliable data are pivotal to credible risk-adjusted modeling and hospital benchmarking. Evidence assessing the reliability and accuracy of data elements considered as variables in risk-adjustment modeling and measurement of outcomes is lacking. This deficiency holds the potential to compromise benchmarking integrity. We detail the findings of a longitudinal program to evaluate the impact of external data validation on data validity and reliability for variables utilized in benchmarking of trauma centers.

METHODS

A collaborative quality initiative-based study was conducted of 29 trauma centers from March 2010 through December 2018. Case selection criteria were applied to identify high-yield cases that were likely to challenge data abstractors. There were 127,238 total variables validated (i.e., reabstracted, compared, and reported to trauma centers). Study endpoints included data accuracy (agreement between registry data and contemporaneous documentation) and reliability (consistency of accuracy within and between hospitals). Data accuracy was assessed by mean error rate and type (under capture, inaccurate capture, or over capture). Cohen's kappa estimates were calculated to evaluate reliability.

RESULTS

There were 185,120 patients that met the collaborative inclusion criteria. There were 1,243 submissions reabstracted. The initial validation visit demonstrated the highest mean error rate at 6.2% ± 4.7%, and subsequent validation visits demonstrated a statistically significant decrease in error rate compared with the first visit (p < 0.05). The mean hospital error rate within the collaborative steadily improved over time (2010, 8.0%; 2018, 3.2%) compared with the first year (p < 0.05). Reliability of substantial or higher (kappa ≥0.61) was demonstrated in 90% of the 20 comorbid conditions considered in the benchmark risk-adjustment modeling, 39% of these variables exhibited a statistically significant (p < 0.05) interval decrease in error rate from the initial visit.

CONCLUSION

Implementation of an external data validation program is correlated with increased data accuracy and reliability. Improved data reliability both within and between trauma centers improved risk-adjustment model validity and quality improvement program feedback.

Data quality of Glasgow Coma Scale and Systolic Blood Pressure in scientific studies involving physician-staffed emergency medical services: Systematic review

BACKGROUND

Emergency physicians on-scene provide highly specialized care to severely sick or injured patients. High-quality research relies on the quality of data, but no commonly accepted definition of EMS data quality exits. Glasgow Coma Score (GCS) and Systolic Blood Pressure (SBP) are core physiological variables, but little is known about the quality of these data when reported in p-EMS research. This systematic review aims to describe the quality of pre-hospital reporting of GCS and SBP data in studies where emergency physicians are present on-scene.

METHODS

A systematic literature search was performed using CINAHL, Cochrane, Embase, Medline, Norart, Scopus, SweMed + and Web of Science, in accordance with the PRISMA guidelines. Reported data on accuracy of reporting, completeness and capture were extracted to describe the quality of documentation of GCS and SBP. External and internal validity assessment was performed by extracting a set of predefined variables.

RESULTS

We included 137 articles describing data collection for GCS, SBP or both. Most studies (81%) were conducted in Europe and 59% of studies reported trauma cases. Reporting of GCS and SBP data were not uniform and may be improved to enable comparisons. Of the predefined external and internal validity data items, 26%-45% of data were possible to extract from the included papers.

CONCLUSIONS

Reporting of GCS and SBP is variable in scientific papers. We recommend standardized reporting to enable comparisons of p-EMS.

Implementation of a multi-center digital trauma registry: Experience in district and central hospitals in Malawi

BACKGROUND

Trauma is a rapidly growing component of the burden of disease in developing countries; yet systematic data collection about trauma in such contexts is relatively rare.

METHODS

This paper describes the implementation of a trauma registry in 10 government-run hospitals in Malawi, with a focus on implementation logistics, stakeholder engagement strategies, and data quality procedures.

RESULTS

51 337 trauma cases were recorded over the first 14 months of registry operations. The number of cases per month, data accuracy, and the geographic coverage of the registry improved over time as data quality measures were implemented.

CONCLUSIONS

Multi-center digital trauma registries are feasible in low-resource settings. Stakeholder engagement, periodic in-person and frequent digital follow up with data teams, and regular channeling of findings back to data collection teams help to improve data quality and completeness over a 14 month period. Financial and staffing constraints remain challenges for sustainability over time, but this experience demonstrates the feasibility of large-scale registry operations.

How much does quality matter: the value of data

In a world of competing priorities, accurate production of information on the scale of the injury burden and the effectiveness of prevention-orientated interventions and policies is important; hence, data quality matters. This article surveys the literature about what is known about data quality in the injury field and developments to improve the quality and usability of information, particularly through triangulation of data sources, data linkage and unlocking the potential for more deeply phenotyped data through natural language processing.

How to Validate Data Quality in a Trauma Registry? The Helsinki Trauma Registry Internal Audit

BACKGROUND AND AIMS

Trauma registry data are used for analyzing and improving patient care, comparison of different units, and for research and administrative purposes. Data should therefore be reliable. The aim of this study was to audit the quality of the Helsinki Trauma Registry internally. We describe how to conduct a validation of a regional or national trauma registry and how to report the results in a readily comprehensible form.

MATERIALS AND METHODS

Trauma registry database of Helsinki Trauma Registry from year 2013 was re-evaluated. We assessed data quality in three different parts of the data input process: the process of including patients in the trauma registry (case completeness); the process of calculating Abbreviated Injury Scale (AIS) codes; and entering the patient variables in the trauma registry (data completeness, accuracy, and correctness). We calculated the case completeness results using raw agreement percentage and Cohen's κ value. Percentage and descriptive methods were used for the remaining calculations.

RESULTS

In total, 862 patients were evaluated; 853 were rated the same in the audit process resulting in a raw agreement percentage of 99%. Nine cases were missing from the registry, yielding a case completeness of 97.1% for the Helsinki Trauma Registry. For AIS code data, we analyzed 107 patients with severe thorax injury with 941 AIS codes. Completeness of codes was 99.0% (932/941), accuracy was 90.0% (841/932), and correctness was 97.5% (909/932). The data completeness of patient variables was 93.4% (3899/4174). Data completeness was 100% for 16 of 32 categories. Data accuracy was 94.6% (3690/3899) and data correctness was 97.2% (3789/3899).

CONCLUSION

The case completeness, data completeness, data accuracy, and data correctness of the Helsinki Trauma Registry are excellent. We recommend that these should be the variables included in a trauma registry validation process, and that the quality of trauma registry data should be systematically and regularly reviewed and reported.

Eye injury registries - A systematic review

OBJECTIVES

Registries are integral to monitoring, surveying, treating, preventing and prognosticating trauma. The quantity and quality of data must justify a change or intervention in treatment and/or preventive strategies and must be collected while balancing the cost and time invested in the registry. This review documents the quality, completeness and operational and funding models for ocular trauma registries worldwide.

METHODS

The databases CENTRAL, MEDLINE, EMBASE and Informit Health Collection were searched using key word and mesh terms for: "Eye injury, "Ocular trauma", "Eye injury prevention", "Eye protection", "Registry". To find relevant unpublished articles and theses, clinicaltrials.gov, Trip, MedNar and Google Scholar were searched using the key words "eye injury" OR "ocular trauma" AND "registry*". No date or language restrictions were applied. The quality of registry data was assessed against published measures including design, operation and data quality.

RESULTS

The electronic search retrieved 528 distinct published articles; 61 articles were assessed for eligibility. Of the 61 articles identified, 28 were eligible to be included in the review, with cross-referencing identifying a further 7 articles. The source of most articles on ocular trauma registries was the United States, followed by Germany and China. Patient follow-up was conducted in 31 studies, with 6 months being the most frequently reported period. Issues with data quality included incomplete data such as presence or absence of eye protection and initial visual acuity. Attrition bias was controlled by the United States Eye Injury Register with follow-up. Patients without follow-up data were removed for some studies and this may have introduced bias.

CONCLUSION

National, state and hospital-based ocular trauma registries have contributed significantly to our understanding of ocular trauma. The United States has the most frequently cited and well-resourced ocular trauma registries. It is anticipated that this review will guide the development of future registries for ocular trauma in order to inform evidence-based prevention strategies and, ultimately, improve visual outcomes. We recommend the development of a consensus guidelines for international ocular trauma registry that includes mechanism and context of injury and visual outcomes, to permit international comparison that can be implemented at low cost with secure data capture.

Establishing a Multicentre Trauma Registry in India: An Evaluation of Data Completeness

BACKGROUND

The completeness of a trauma registry's data is essential for its valid use. This study aimed to evaluate the extent of missing data in a new multicentre trauma registry in India and to assess the association between data completeness and potential predictors of missing data, particularly mortality.

METHODS

The proportion of missing data for variables among all adults was determined from data collected from 19 April 2016 to 30 April 2017. In-hospital physiological data were defined as missing if any of initial systolic blood pressure, heart rate, respiratory rate, or Glasgow Coma Scale were missing. Univariable logistic regression and multivariable logistic regression, using manual stepwise selection, were used to investigate the association between mortality (and other potential predictors) and missing physiological data.

RESULTS

Data on the 4466 trauma patients in the registry were analysed. Out of 59 variables, most (n = 51; 86.4%) were missing less than 20% of observations. There were 808 (18.1%) patients missing at least one of the first in-hospital physiological observations. Hospital death was associated with missing in-hospital physiological data (adjusted OR 1.4; 95% CI 1.02-2.01; p = 0.04). Other significant associations with missing data were: patient arrival time out of hours, hospital of care, 'other' place of injury, and specific injury mechanisms. Assault/homicide injury intent and occurrence of chest X-ray were associated with not missing any of first in-hospital physiological variables.

CONCLUSION

Most variables were well collected. Hospital death, a proxy for more severe injury, was associated with missing first in-hospital physiological observations. This remains an important limitation for trauma registries.

National Spinal Cord Injury Registry of Iran (NSCIR-IR) - a critical appraisal of its strengths and weaknesses

The National Spinal Cord Injury Registry of Iran (NSCIR-IR) is a not-for-profit, hospital-based, and prospective observational registry that appraises the quality of care, long-term outcomes and the personal and psychological burden of traumatic spinal cord injury in Iran. Benchmarking validity in every registry includes rigorous attention to data quality. Data quality assurance is essential for any registry to make sure that correct patients are being enrolled and that the data being collected are valid. We reviewed strengths and weaknesses of the NSCIR-IR while considering the methodological guidelines and recommendations for efficient and rational governance of patient registries. In summary, the steering committee, funded and maintained by the Ministry of Health and Medical Education of Iran, the international collaborations, continued staff training, suitable data quality, and the ethical approval are considered to be the strengths of the registry, while limited human and financial resources, poor interoperability with other health systems, and time-consuming processes are among its main weaknesses.

Traumatic esophageal perforation in Puerto Rico Trauma Hospital: A case-series

Background

Esophageal injuries are rare, life-threatening, events with an overall reported incidence of less than 3%. In rare cases, trauma due to blunt or penetrating injuries cause esophageal perforations, which account for less than 15% of all esophageal injuries.

Materials and methods

A case-series study was conducted to describe the outcomes and management of all the traumatic esophageal injuries at the Puerto Rico Trauma Hospital (PRTH) from 2000 through 2017. These cases were evaluated in terms of etiology of perforation, mechanism of injury and esophageal level.

Results

Sixteen patients were treated for esophageal injuries at the PRTH between 2000 and 2017. Of these patients, 15 (93.7%) were males with a median age of 24.5 years (16, 49). Regarding the etiology of the esophageal perforation, 2 (12.5%) patients suffered blunt esophageal trauma, and 14 (87.5%) patients had penetrating trauma to the esophagus. The most common mechanism of perforation was gunshot wound 10 (62.4%), followed by stab wound 4 (25.0%), and the least common were motor vehicle collision 1 (6.3%) and pedestrian injured by traffic 1 (6.3%). Regarding esophageal location, 9 (56.3%) patients presented cervical, 6 (37.5%) thoracic, and 1 (6.3%) abdominal injuries. Most patients 13 (81.3%) had a prompt diagnosis of traumatic esophageal perforation, while 3 (18.7%) patients had a delayed diagnosis. Only 2 (12.5%) deaths occurred among our 16 patients, including 1 (6.3%) in delayed diagnosed subjects.

Conclusion

Esophageal perforation is a life-threatening condition and should be treated urgently. An early diagnosis and prompt surgical treatment completed in the first 24-h is fundamental for a good outcome.

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Sixteen patients were treated for esophageal injuries at the PRTH.

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Two patients suffered blunt esophageal trauma and 14 patients had penetrating trauma to the esophagus.

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Most patients had a prompt diagnosis of traumatic esophageal perforation, while 3 patients had a delayed diagnosis.

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Regarding esophageal location, of the 16 patients, 9 presented cervical, 6 thoracic, and 1 abdominal esophageal injury.

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Only 2 deaths occurred among our 16 patients, including 1 in delayed diagnosed subjects.

International Comparison of Thalassemia Registries: Challenges and Opportunities

Background:

Patient registries use standardized methods to systematically gather uniform data for specific groups of patients managed in clinical practice to evaluate specified outcomes.

Aim:

The objective of this study was to identify and describe structures of the identified thalassemia registries in worldwide and summarize their key characteristics.

Methods:

We reviewed the literature on thalassemia registries. A search of PubMed, Scopus, ProQuest, and Science Direct databases was conducted in September 2018. We also reviewed the existing thalassemia registry websites in different countries. The keywords used to our search were as follows: Thalassemia, Hemoglobinopathy, Registry, Database, and Registration System. Some features such as the name of registry, funding source, objectives of the registry, minimum data set, and methods of data collection were determined.

Results:

We identified 16 thalassemia registries operating on a multinational, national, or regional level between1984 and 2016. Most of these aimed to improve the diagnosis and management of control programs. Government funding was the most common funding source for registries. Furthermore, the most common method of data submission was Web-based data entry. The data were entered by a member of the clinical team or a nominated data manager.

Conclusion:

Registries provide a positive return on investment; their establishment and maintenance require ongoing support by government, policy makers, research funding bodies, clinicians, thalassemia patients and their caregivers. However, the results of research suggest the establishment of an international network for coordination and collaboration between thalassemia registries.

Data Governance in the Health Industry: Investigating Data Quality Dimensions within a Big Data Context

In the health industry, the use of data (including Big Data) is of growing importance. The term ‘Big Data’ characterizes data by its volume, and also by its velocity, variety, and veracity. Big Data needs to have effective data governance, which includes measures to manage and control the use of data and to enhance data quality, availability, and integrity. The type and description of data quality can be expressed in terms of the dimensions of data quality. Well-known dimensions are accuracy, completeness, and consistency, amongst others. Since data quality depends on how the data is expected to be used, the most important data quality dimensions depend on the context of use and industry needs. There is a lack of current research focusing on data quality dimensions for Big Data within the health industry; this paper, therefore, investigates the most important data quality dimensions for Big Data within this context. An inner hermeneutic cycle research approach was used to review relevant literature related to data quality for big health datasets in a systematic way and to produce a list of the most important data quality dimensions. Based on a hierarchical framework for organizing data quality dimensions, the highest ranked category of dimensions was determined.

Current Status of Musculoskeletal Trauma Care Systems Worldwide

BACKGROUND AND RATIONALE

Although general trauma care systems and their effects on mortality reduction have been studied, little is known of the current state of musculoskeletal trauma delivery globally, particularly in low-income (LI) and low middle-income (LMI) countries. The goal of this study is to assess and describe the development and availability of musculoskeletal trauma care delivery worldwide.

MATERIALS & METHODS

A questionnaire was developed to evaluate different characteristics of general and musculoskeletal trauma care systems, including general aspects of systems, education, access to care and pre- and posthospital care. Surgical leaders involved with musculoskeletal trauma care were contacted to participate in the survey.

RESULTS

Of the 170 surveys sent, 95 were returned for use for the study. Nearly 30 percent of surgeons reported a formalized and coordinated trauma system in their countries. Estimates for the number of surgeons providing musculoskeletal trauma per one million inhabitants varied from 2.6 in LI countries to 58.8 in high-income countries. Worldwide, 15% of those caring for musculoskeletal trauma are fellowship trained. The survey results indicate a lack of implemented musculoskeletal trauma care guidelines across countries, with even high-income countries reporting less than 50% availability in most categories. Seventy-nine percent of the populations from LI countries were estimated to have no form of health care insurance. Formalized emergency medical services were reportedly available in only 33% and 50% of LI and LMI countries, respectively. Surgeons from LI and LMI countries responded that improvements in the availability of equipment (100%), number and locations of trauma-designated hospitals (90%), and physician training programs (88%) were necessary in their countries. The survey also revealed a general lack of resources for postoperative and rehabilitation care, irrespective of the country's income level.

CONCLUSION

This study addresses the current state of musculoskeletal trauma care delivery worldwide. These results indicate a greater need for trauma system development and support, from prehospital through posthospital care. Optimization of these systems can lead to better outcomes for patients after trauma. This study represents a critical first step toward better understanding the state of musculoskeletal trauma care in countries with different levels of resources, developing strategies to address deficiencies, and forming regional and international collaborations to develop musculoskeletal trauma care guidelines.

Quality assessment of Major Trauma Registry of Navarra: completeness and correctness

This study assessed the completeness of the Major Trauma Registry of Navarra (MTR-N) data and their concordance with the patients' medical files. It retrospectively reviewed all the MTR-N cases documented in June and July of 2014 and 2015. For each case, 42 parameters' values were taken from the MTR-N. To assess concordance between the MTR-N and medical files, the same variables values were re-recorded. Data completeness was calculated for all cases and data correctness for those documented in the MTR-N, separately for each variable. The overall average completeness rate for all variables was 92.8%. The percentages of completely missing data ranged from 0% (29 variables) to 76.8% (base excess). The overall average rate of correctness was 98.0%. Exact concordance ranged from 93.0% (7 variables) to 100% (22 variables). This study demonstrates the reliability and validity of the MTR-N data and its effectiveness for quality improvement and research in our community.

Missing data in trauma registries: A systematic review

BACKGROUND

Trauma registries play an integral role in trauma systems but their valid use hinges on data quality. The aim of this study was to determine, among contemporary publications using trauma registry data, the level of reporting of data completeness and the methods used to deal with missing data.

METHODS

A systematic review was conducted of all trauma registry-based manuscripts published from 01 January 2015 to current date (17 March 2017). Studies were identified by searching MEDLINE, EMBASE, and CINAHL using relevant subject headings and keywords. Included manuscripts were evaluated based on previously published recommendations regarding the reporting and discussion of missing data. Manuscripts were graded on their degree of characterization of such observations. In addition, the methods used to manage missing data were examined.

RESULTS

There were 539 manuscripts that met inclusion criteria. Among these, 208 (38.6%) manuscripts did not mention data completeness and 88 (16.3%) mentioned missing data but did not quantify the extent. Only a handful (n = 26; 4.8%) quantified the 'missingness' of all variables. Most articles (n = 477; 88.5%) contained no details such as a comparison between patient characteristics in cohorts with and without missing data. Of the 331 articles which made at least some mention of data completeness, the method of managing missing data was unknown in 34 (10.3%). When method(s) to handle missing data were identified, 234 (78.8%) manuscripts used complete case analysis only, 18 (6.1%) used multiple imputation only and 34 (11.4%) used a combination of these.

CONCLUSION

Most manuscripts using trauma registry data did not quantify the extent of missing data for any variables and contained minimal discussion regarding missingness. Out of the studies which identified a method of managing missing data, most used complete case analysis, a method that may bias results. The lack of standardization in the reporting and management of missing data questions the validity of conclusions from research based on trauma registry data.

Progress of the Dutch Spinal Cord Injury Database: Completeness of Database and Profile of Patients Admitted for Inpatient Rehabilitation in 2015

Background: In the Dutch International Spinal Cord Injury (SCI) Data Sets project, we translated all International SCI Data Sets available in 2012 and created a Dutch SCI Database (NDD). Objective: To describe the number of included patients and completeness of the NDD, and to use the NDD to provide a profile of people with traumatic SCI (T-SCI) and non-traumatic SCI (NT-SCI) in the Netherlands. Methods: The NDD includes patients admitted for their first inpatient rehabilitation after onset of SCI to 1 of the 8 rehabilitation centers with a specialty in SCI rehabilitation in the Netherlands. Data of patients admitted in 2015 were analyzed. Results: Data for 424 patients were available at admission; for 310 of these patients (73.1%), discharge data were available. No significant differences were found between patients with and without data at discharge. Data were nearly complete (>90%) for lower urinary tract, bowel, pain, and skin. Data on sexual function has the lowest completion rate. Complete neurological and functional data were available for 41.7% and 38%, respectively. Most patients were male (63.4%), had NT-SCI (65.5%), and had incomplete SCI (58.4% D). Patients with T-SCI differed from patients with NT-SCI on most characteristics, and they stayed considerably longer in the rehabilitation center (112 days vs 65 days, p < .001). Place of discharge was not different between both groups. Conclusion: With the NDD, we collect important data on the majority of Dutch SCI patients, although much work needs to be done to improve the completeness of the data collection.

Trauma care in Malawi: A call to action

Injuries are a global public health concern because most are preventable yet they continue to be a major cause of death and disability, especially among children, adolescents, and young adults. This enormous loss of human potential has numerous negative social and economic consequences. Malawi has no formal system of prehospital trauma care, and there is limited access to hospital-based trauma care, orthopaedic surgery, and rehabilitation. While some hospitals and research teams have established local trauma registries and quantified the burden of injuries in parts of Malawi, there is no national injury surveillance database compiling the data needed in order to develop and implement evidence-based prevention initiatives and guidelines to improve the quality of clinical care. Studies in other low- and middle-income countries (LMICs) have demonstrated cost-effective methods for enhancing prehospital, in-hospital, and post-discharge care of trauma patients. We encourage health sectors leaders from across Malawi to take action to improve trauma care and reduce the burden from injury in this country.

Prehospital notification for major trauma patients requiring emergency hospital transport: A systematic review

OBJECTIVE

This systematic review aimed to determine the effect of prehospital notification systems for major trauma patients on overall (<30 days) and early (<24 hours) mortality, hospital reception, and trauma team presence (or equivalent) on arrival, time to critical interventions, and length of hospital stay.

METHODS

Experimental and observational studies of prehospital notification compared with no notification or another type of notification in major trauma patients requiring emergency transport were included. Risk of bias was assessed using the Cochrane ACROBAT-NRSI tool. A narrative synthesis was conducted and evidence quality rated using the GRADE criteria.

RESULTS

Three observational studies of 72,423 major trauma patients were included. All were conducted in high-income countries in hospitals with established trauma services, with two studies undertaking retrospective analysis of registry data. Two studies reported overall mortality, one demonstrating a reduction in mortality; (adjusted odds ratio (OR) 0.61, 95% confidence interval (CI) 0.39 to 0.94, 72,073 participants); and the other demonstrating a nonsignificant change (OR 0.61, 95% CI 0.23 to 1.64, 81 participants). The quality of this evidence was rated as very low.

CONCLUSION

Limited research on the topic constrains conclusive evidence on the effect of prehospital notification on patient-centered outcomes after severe trauma. Composite interventions that combine prehospital notification with effective actions on arrival to hospital such as trauma bay availability, trauma team presence, and early access to definitive management may provide more robust evidence towards benefits of early interventions during trauma reception and resuscitation.

Measuring Functional and Patient-Reported Outcomes After Treatment of Mutilating Hand Injuries: A Global Health Approach

Understanding the global burden of trauma, particularly upper extremity trauma, is necessary in addressing the need for surgical services. Critical to that mission is to understand, and accurately measure, disability and related disability-adjusted life-years from massive upper extremity trauma. The impact of these injuries is magnified when considering that they frequently occur to young people in prime working years. This article discusses these social and medical system issues and reviews components of a comprehensive approach to measuring outcomes after these injuries. Patient-reported outcomes are highlighted. Methods of optimizing outcomes measurements and studies, disability assessments, and associated research are also discussed.

Setting the Goals in the Management of Mutilated Injuries of the Hand-Impressions Based on the Ganga Hospital Experience

Mutilated injuries need to be treated aggressively and appropriately to avoid amputation or severe disability in the individual. Assessment of the management of these injuries on a global level reveals that there is a gap between the need and availability of the skilled manpower to manage these injuries. There is also a gap in the utilization of the available services. These gaps need to be covered or narrowed as far as possible. Although some measures need policy changes and improvement of health care delivery infrastructure, simpler measures taken at the final health care delivery level can significantly improve the final outcome.

Retrospective one-million-subject fixed-cohort survey of utilization of emergency departments due to traumatic causes in Taiwan, 2001-2010

BACKGROUND

Epidemiological study was needed to evaluate trends in emergency department (ED) utilization that could be taken into account when making policy decisions regarding the delivery and distribution of medical resources.

METHODS

A retrospective fixed-cohort study of emergency medical utilization from 2001 to 2010 was performed based on one-million people sampled in 2010 in Taiwan. Focusing on traumatic cases, the annual incidences in various groups split according to sex and age were calculated, and further information regarding location of trauma and type of trauma was obtained.

RESULTS

In 2010, significantly greater proportions of male and younger subjects were visitors to EDs with a traumatic injury. During 2001-2010, the number of both traumatic cases and non-traumatic cases presenting at EDs significantly increased (average annual percentage change, AAPC 4.7 and 3.6, respectively) and a significantly greater direct medical cost associated with traumatic cases than non-traumatic cases was noted. Focusing on traumatic cases, most of these cases were directed to highest-level hospitals, accounting for 73.5-78.8 % of all traumatic cases, with a significant AAPC of 5.6. The traumatic ED visit annual incidence in males was 58.63 in 2001, which significantly increased to 69.35 per 1000 persons in 2010 (AAPC 1.5); and in females was 38.96 in 2001, which significantly increased to 50.73 per 1000 persons in 2010 (AAPC 2.5). Most of the traumatic cases treated in EDs were minor injuries, such as contusion with the skin intact, open wound of the upper limbs, open wound of the head, neck, or trunk, and other superficial injury (accounting for about 60 % of all cases). The traumatic categories of sprains/strains of joints and adjacent muscles, fractures of upper limbs, fractures of lower limbs, and fractures of the spine/trunk required greater medical resources and significantly positive AAPC values (4.3, 4.0, 4.5 and 6.8, respectively).

CONCLUSIONS

Increased ED utilization due to traumatic causes, as assessed by the annual number of cases and incidence, average direct medical cost and highest-level hospital utilization, was observed from 2001 to 2010. Orthopedic-related injuries, including soft tissue trauma of extremities and various fractures, were the categories with the greatest increase in incidence.