Preferences for virtual versus in-person mental and physical healthcare in Canada: a descriptive study from a cohort of youth and their parents enriched for severe mental illness.

BACKGROUND: Virtual care may improve access to healthcare and may be well suited to digitally connected youth, but experts caution that privacy and technology barriers could perpetuate access inequities. Success of virtual care will depend on its alignment with patient preferences. However, information on preferences for virtual and in-person healthcare is missing, especially for youth. We sought to quantify preferences for and barriers to virtual versus in-person mental and physical healthcare in youth and their parents, including in vulnerable segments of the population such as families with a parent with severe mental illness (SMI). METHODS: Participants were 219 youth and 326 parents from the Families Overcoming Risks and Building Opportunities for Wellbeing cohort from Canada, of which 61% of youth had at least one parent with SMI. Participants were interviewed about healthcare preferences and access to privacy/technology between October 2021 and December 2022. RESULTS: Overall, youth reported a preference for in-person mental (66.6%) and physical healthcare (74.7%) versus virtual care or no preference, and to a somewhat lesser degree, so did their parents (48.0% and 53.9%). Half of participants reported privacy/technology barriers to virtual care, with privacy being the most common barrier. Preferences and barriers varied as a function of parent SMI status, socioeconomic status and rural residence. CONCLUSIONS: The majority of youth and parents in this study prefer in-person healthcare, and the preference is stronger in youth and in vulnerable segments of the population. Lack of privacy may be a greater barrier to virtual care than access to technology.

Implementation of a Knowledge Management System in Mental Health and Addictions: Mixed Methods Case Study.

BACKGROUND: Mental health and addictions (MHA) care is complex and individualized and requires coordination across providers and areas of care. Knowledge management is an essential facilitator and common challenge in MHA services. OBJECTIVE: This paper aimed to describe the development of a knowledge management system (KMS) and the associated processes in 1 MHA program. We also aimed to examine the uptake and use, satisfaction, and feedback on implementation among a group of pilot testers. METHODS: This project was conducted as a continuous quality-improvement initiative. Integrated stakeholder engagement was used to scope the content and design the information architecture to be implemented using a commercially available knowledge management platform. A group of 30 clinical and administrative staff were trained and tested with the KMS over a period of 10 weeks. Feedback was collected via surveys and focus groups. System analytics were used to characterize engagement. The content, design, and full-scale implementation planning of the KMS were refined based on the results. RESULTS: Satisfaction with accessing the content increased from baseline to after the pilot. Most testers indicated that they would recommend the KMS to a colleague, and satisfaction with KMS functionalities was high. A median of 7 testers was active each week, and testers were active for a median of 4 days over the course of the pilot. Focus group themes included the following: the KMS was a solution to problems for staff members, functionality of the KMS was important, quality content matters, training was helpful and could be improved, and KMS access was required to be easy and barrier free. CONCLUSIONS: Knowledge management is an ongoing need in MHA services, and KMSs hold promise in addressing this need. Testers in 1 MHA program found a KMS that is easy to use and would recommend it to colleagues. Opportunities to improve implementation and increase uptake were identified. Future research is needed to understand the impact of KMSs on quality of care and organizational efficiency.

The Prevalence and Predictors of Compassion Satisfaction, Burnout and Secondary Traumatic Stress in Registered Nurses in an Eastern Canadian Province: A Cross-Sectional Study.

BACKGROUND: The quality of Registered Nurses' worklife is impacting nurses' mental health, and the standard of care received by clients. Contributing factors to nurses' stress are the trauma of continuous caring for those in great suffering, and adverse working conditions. OBJECTIVES: i) to explore the prevalence of work-related stress in a provincial sample of Registered Nurses; ii) to compare the levels of compassion satisfaction, burnout and secondary traumatic stress reported by nurses in hospital, community, non-direct care settings, and, iii) to identify factors that predict levels of nursing work stress. METHODS: A descriptive, predictive study with a self-report survey containing demographic questions and the Professional Quality of Life Scale was emailed to over 3,300 Registered Nurses. The scale measured the prevalence of three worklife indicators, compassion satisfaction, burnout and secondary traumatic stress. Multiple linear regression identified factors that predicted the levels of the three indicators. A subgroup analysis explored the quality of worklife based on three practice environments. FINDINGS: Nurses (n = 661) reported moderate compassion satisfaction, burnout, and secondary traumatic stress. The strongest predictor, satisfaction with one's current job, predicted high compassion satisfaction and lower burnout and secondary stress. The subgroup analysis identified hospital nurses as having the most work-related stress and the lowest level of compassion satisfaction. CONCLUSION: Innovative, collaborative action can transform nurses' practice environments. Organizational support is essential to bring about needed improvements.

Development of an expert derived ICD-AIS map for serious AIS3+ injury identification.

Objective: The objective of the mapping project was to develop an expert derived map between the International Statistical Classification of Diseases and Related Health Problems (ICD) clinical modifications (CM) and the Abbreviated Injury Scale (AIS) to be able to relate AIS severity to ICD coded data road traffic collision data in EU datasets. The maps were developed to enable the identification of serious AIS3+ injury and provide details of the mapping process for assumptions to be made about injury severity from mass datasets. This article describes in detail the mapping process of the International Classification of Diseases Ninth Revision, Clinical Modification (ICD-9-CM) and the International Classification of Diseases Tenth Revision, Clinical Modification (ICD-10-CM) codes to the Abbreviated Injury Scale 2005, Update 2008 (AIS08) codes to identify injury with an AIS severity of 3 or more (AIS3+ severity) to determine 'serious' (MAIS3+) road traffic injuries.Methods: Over 19,000 ICD codes were mapped from the following injury categories; injury ICD-9-CM (Chapter 17) codes between '800 and 999.9' and injury ICD-10-CM (Chapter 19) 'S' and 'T' prefixed codes were reviewed and mapped to an AIS08 category and then relate the severity to three groups; AIS3+, AIS < =2 and AIS 9 (no-map). The mapping was undertaken by ICD coding experts and certified AIS specialists from Europe, North America, Australia and Canada in face-to-face working groups and subsequent webinars between May 2014 and October 2015. During the process, the business rules were documented to define guidelines for the mapping process and enable inter-rater discrepancies to be resolved.Results: In total 2,504 ICD-9-CM codes were mapped to the AIS, of which 780 (31%) were assigned an AIS3+ severity. For the16,508 ICD-10-CM mapped codes a total of 2,323 (14%) were assigned an AIS3+ severity. Some 17% (n = 426) and 27% (n = 4,485) of ICD-9-CM and ICD-10-CM codes respectively were assigned to AIS9 (no-map) following the mapping process. It was evident there were 'problem' codes that could not be easily mapped to an AIS code to reflect severity. Problem maps affect the specificity of the map and severity when used to translate historical data in large datasets.Conclusions: The Association for the Advancement in Automotive Medicine, AAAM-endorsed expert-derived map offers a unique tool to road safety researchers to establish the number of MAIS3+ serious injuries occurring on the roads. The detailed process offered in this paper will enable researchers to understand the decision making and identify limitations when using the AIS08/ICD map on country-specific data. The results could inform protocols for dealing with problem codes to enable country comparisons of MAIS3+ serious injury rates.

Development of an expert based ICD-9-CM and ICD-10-CM map to AIS 2005 update 2008.

OBJECTIVE: This article describes how maps were developed from the clinical modifications of the 9th and 10th revisions of the International Classification of Diseases (ICD) to the Abbreviated Injury Scale 2005 Update 2008 (AIS08). The development of the mapping methodology is described, with discussion of the major assumptions used in the process to map ICD codes to AIS severities. There were many intricacies to developing the maps, because the 2 coding systems, ICD and AIS, were developed for different purposes and contain unique classification structures to meet these purposes. METHODS: Experts in ICD and AIS analyzed the rules and coding guidelines of both injury coding schemes to develop rules for mapping ICD injury codes to the AIS08. This involved subject-matter expertise, detailed knowledge of anatomy, and an in-depth understanding of injury terms and definitions as applied in both taxonomies. The official ICD-9-CM and ICD-10-CM versions (injury sections) were mapped to the AIS08 codes and severities, following the rules outlined in each coding manual. The panel of experts was composed of coders certified in ICD and/or AIS from around the world. In the process of developing the map from ICD to AIS, the experts created rules to address issues with the differences in coding guidelines between the 2 schemas and assure a consistent approach to all codes. RESULTS: Over 19,000 ICD codes were analyzed and maps were generated for each code to AIS08 chapters, AIS08 severities, and Injury Severity Score (ISS) body regions. After completion of the maps, 14,101 (74%) of the eligible 19,012 injury-related ICD-9-CM and ICD-10-CM codes were assigned valid AIS08 severity scores between 1 and 6. The remaining 4,911 codes were assigned an AIS08 of 9 (unknown) or were determined to be nonmappable because the ICD description lacked sufficient qualifying information for determining severity according to AIS rules. There were also 15,214 (80%) ICD codes mapped to AIS08 chapter and ISS body region, which allow for ISS calculations for patient data sets. CONCLUSION: This mapping between ICD and AIS provides a comprehensive, expert-designed solution for analysts to bridge the data gap between the injury descriptions provided in hospital codes (ICD-9-CM, ICD-10-CM) and injury severity codes (AIS08). By applying consistent rules from both the ICD and AIS taxonomies, the expert panel created these definitive maps, which are the only ones endorsed by the Association for the Advancement of Automotive Medicine (AAAM). Initial validation upheld the quality of these maps for the estimation of AIS severity, but future work should include verification of these maps for MAIS and ISS estimations with large data sets. These ICD-AIS maps will support data analysis from databases with injury information classified in these 2 different systems and open new doors for the investigation of injury from traumatic events using large injury data sets.

The impact of transfer on pediatric trauma outcomes.

BACKGROUND: Recently, concerns have been raised over delays that result from transferring patients to designated trauma centers. This study aimed to assess whether transfer status had an impact on pediatric trauma outcomes. METHODS: Using a local 1996-2014 pediatric trauma database containing 1541 patients, the following outcomes were tested: death, major complication, time to definitive treatment (TDT), hospital length of stay (LOS), and ICU length of stay (ICU LOS). Logistic, generalized linear, and Poisson regression models were used. RESULTS: Mortality and complication rates did not differ significantly between direct (mortality=52/1000, complications=54/1000) and transferred (mortality=59/1000; complications=67/1000) patients (mortality aRR: 1.17, 95% CI: 0.76-1.80, p=0.48; complication aRR: 1.13, 95% CI: 0.75-1.70, p=0.57). Transfer status was not a significant predictor of ICU LOS (p=0.72). Transfer status was a significant predictor of time to definitive treatment (transfer x-=17.4h vs. direct x-=2.6h, p=0.0035) and of LOS for severely injured patients (p=0.005). The significant predictors of pediatric trauma mortality were: ISS, transport mode, age, and TDT, and of major complication were ISS and TDT. CONCLUSIONS: Although transferred patients had longer time to specialized care, there were no significant differences in the mortality or complication rates between transferred and direct patients after adjusting for injury severity.

Identification of blunt abdominal injuries in children.

BACKGROUND: The use of computed tomography (CT) to screen for injuries in pediatric blunt abdominal trauma (BAT) is increasing, concurrent with increasing concern over long-term risk of radiation-associated malignancies. We proposed to determine features that could be identified in the early assessment of these patients, which can predict the likelihood of clinically important intra-abdominal injuries warranting imaging by CT. We further queried if these were discrepant from factors associated with the decision to obtain an abdominal CT. METHODS: Data of patients admitted with BAT to one of two Level I pediatric trauma centers were reviewed retrospectively. Clinical, laboratory, radiographic, and epidemiologic data were collected. Logistic regression was used to determine associations between pre-CT findings and ultimate diagnoses of "notable" or "clinically important" intra-abdominal injuries. Similar analyses were performed to determine which findings were associated with actually receiving an abdominal CT scan. RESULTS: Of 571 patients, 37% had a notable intra-abdominal injury and 18% a clinically important intra-abdominal injury. After adjusting for all covariates, hematuria (gross or microscopic), elevated serum alanine aminotransferase, and documentation of clinically concerning abdominal findings upon examination remained significant predictors (odds ratio (OR), 3.5; 95% confidence interval [CI], 1.8-6.8; OR, 10.9; 95% CI, 2.5-47, respectively) of a clinically important injury. Undergoing a CT head and the presence of hematuria were significantly associated with obtaining a CT of the abdomen (OR, 3.4; 95% CI, 1.5-7.7; OR, 2.9; 95% CI, 1.1-7.3, respectively), while concerning abdominal findings and decreased Glasgow Coma Scale (GCS) score were not. CONCLUSION: Clinical variables may be used to predict intra-abdominal injuries after pediatric BAT that may warrant imaging with CT scanning. Combined with findings from similar studies, it may be possible to derive and validate a decision-making rule both sensitive and specific in predicting the need for abdominal CT scanning in these patients. LEVEL OF EVIDENCE: Prognostic study, level III.

Chest x-ray as a screening tool for blunt thoracic trauma in children.

BACKGROUND: With the increasing use of thoracic computed tomography (CT) to screen for injuries in pediatric blunt thoracic trauma (BTT), we determined whether chest x-ray (CXR) and other clinical and epidemiologic variables could be used to predict significant thoracic injuries, to inform the selective use of CT in pediatric BTT. We further queried if these were discrepant from factors associated with the decision to obtain a thoracic CT. METHODS: This retrospective cohort study included cases of BTT from three Level I pediatric trauma centers between April 1999 and March 2008. Pre-CT epidemiologic, clinical, and radiologic variables associated with CT findings of any thoracic injury or a significant thoracic injury as well as the decision to obtain a thoracic CT were determined using logistic regression. RESULTS: Of 425 patients, 40% patients had a significant thoracic injury, 49% had nonsignificant thoracic injury, and 11% had no thoracic injury at all. Presence of hydrothorax and/or pneumothorax on CXR significantly increased the likelihood of significant chest injury visualized by CT (adjusted odds ratio 10.8; 95% confidence interval, 6.5-18), as did the presence of isolated subcutaneous emphysema (adjusted odds ratio, 19.8; 95% confidence interval, 2.3-168). Although a normal CXR finding was not statistically associated with a reduced risk of significant thoracic injury, 8 of the 9 cases with normal CXR findings and significant injuries involved occult pneumothoraces or hemothoraces not requiring intervention. Converse to features suggesting increased risk of significant injury, the decision to obtain a thoracic CT was only associated with later period in the study and obtaining a CT scan of another body region. CONCLUSION: CXR can be used to screen for significant thoracic injuries and direct the selective use of thoracic CT in pediatric BTT. Prospective studies are needed to validate these findings and develop guidelines that include CXR to define indications for thoracic CT in pediatric BTT. LEVEL OF EVIDENCE: Prognostic study, level III.

Towards development of a survival prediction tool for pediatric head injury.

BACKGROUND: The ability to provide an accurate prognosis for children with traumatic brain injury (TBI) would be useful for the children's families and the caregivers. In this study we examined whether an appropriate mathematical model can predict survival in this patient population. METHODS: Data from the Children's Hospital of Eastern Ontario (CHEO) TBI registry was analyzed. First, a series of univariate logistic regressions was performed to ascertain the significance of individual predictors, such as age, maximum Glasgow Coma Scale (GCS) score, maximum head injury Abbreviated Injury Scores (AIS) and the Injury Severity Score (ISS). Second, a multinomial logistic regression was fitted using only individually significant predictors and inmodel predictor significance, and interactions were tested. Only two significant predictors were kept in the final model. This final model was subsequently used to predict survival for each individual patient using the n-1 training set (i.e. Lachenbruch's leave-one-out method). The receiver operating characteristics (ROC) method was used to ascertain specificity-sensitivity trade-offs at different probability cut-offs in order to predict survival. RESULTS: Only the maximum GCS and head injury AIS remained significant, both individually and in the polynomial logistic regression. Empiric ROC curve analyses from leave-one-out survival predictions showed statistical significance (area under the curve = 0.87, Z = 6.8, p < 0.001). Only 12% of cases were misclassified using the 'best' cut-off. CONCLUSION: An outcome predictive model for pediatric TBI can be devised using an appropriate mathematical model. It may help to estimate expected outcomes in pediatric TBI more objectively.

Transforming learning: the challenge of interprofessional education.

Interprofessional education (IPE) is the foundation for collaborative practice. It is resource intensive because it requires a shift away from didactic teaching towards a model of facilitated small group learning. This article discusses the ways in which IPE is supported by educational theory and summarizes the increasing evidence for its effectiveness in transforming health-care organizations, leading to increased staff motivation and direct improvements in patient care.