International classification of disease based injury severity score (ICISS): A data linkage study of hospital and death data in Victoria, Australia

Suicide and mortality following self-harm in Culturally and Linguistically Diverse communities in Victoria, Australia: insights from a data linkage study

Background

While cultural backgrounds are well-documented to be relevant to intentional self-harm, little is known about how cultural and linguistically diverse (CALD) backgrounds affect mortality outcomes following self-harm.

Aim

This study aimed to compare the risk of all-cause mortality and suicide after intentional hospital admissions for self-harm among people from CALD (vs. non-CALD) backgrounds.

Method

Linked hospital and mortality data in Victoria, Australia, was used to assess suicide and all-cause death after hospital admissions for self-harm among patients aged 15+ years. All-cause death was identified by following up on 42,122 self-harm patients (hospitalized between 01 July 2007 and 30 June 2019) until death or 15 February 2021. Suicide death was evaluated in 16,928 self-harm inpatients (01 January 2013 and 31 December 2017) until death or 28 March 2018. Cox regression models were fitted to compare mortality outcomes in self-harm patients from CALD vs. non-CALD backgrounds.

Outcomes

During the follow-up periods, 3,716 of 42,122 (8.8%) participants died by any cause (by 15 February 2021), and 304 of 16,928 (1.8%) people died by suicide (by 28 March 2018). Compared to the non-CALD group, CALD intentional self-harm inpatients had a 20% lower risk of all-cause mortality (HR: 0.8, 95% CI: 0.7-0.9) and a 30% lower risk of suicide (HR: 0.7, 95% CI: 049-0.97). Specifically, being from North Africa/Middle East and Asian backgrounds lowered the all-cause mortality risk; however, the suicide risk in Asians was as high as in non-CALD people.

Conclusion

Overall, people from CALD backgrounds exhibited lower risks of all-cause mortality and suicide following hospital admission for self-harm compared to the non-CALD group. However, when comparing risks based on regions of birth, significant variations were observed. These findings underscore the importance of implementing culturally tailored background-specific suicide preventive actions. The study focussed on outcomes following hospital admission for self-harm and did not capture outcomes for cases of self-harm that did not result in hospital admission. This limits generalisability, as some CALD people might avoid accessing healthcare after self-harm due to cultural factors. Future research that not limited to hospital data is suggested to build on the results.

Epidemiology of work-related fall injuries resulting in hospitalisation: individual and work risk factors and severity

OBJECTIVES

Injuries at work are common and costly for individuals and employers. A common mechanism of workplace injury is through falls, but there have been few epidemiological studies of risk factors. This study aimed to identify patient, work and injury factors associated with injuries causing hospitalisation after falling at work in Victoria, Australia.

METHODS

Data came from work-related hospitalised injury admissions, identified by International Classification of Diseases and Related Health Problems, Tenth Revision Australian Modification codes and compensation status, from Victorian Admitted Episodes Dataset between 1 July 2017 and 30 June 2022. Multivariate logistic regression analyses were conducted to identify factors associated with same-level falls and falls from height.

RESULTS

This study included 42 176 work-related injury admissions: 8669 (20.6%) fall injuries and 33 507 (79.4%) other injuries. Rates of high falls were more common in males than females (0.44 (95% CI: 0.43, 0.46) vs 0.08 (0.08, 0.09) admissions per 1000 employed), while same-level falls were more common in females than males (0.21 (0.20, 0.22) vs 0.18 (0.17, 0.18)). Patients with same-level fall injuries, relative to all other work injuries, were more likely to be older women, and have at least one chronic condition; falls from height were associated with male sex and construction work and more likely to result in intracranial, internal organ injuries and fractures and longer hospital stay than non-fall injuries.

CONCLUSION

Work-related falls were common and relatively severe. Same-level falls are relatively likely to occur in older women, the fastest-growing workplace demographic, and therefore the incidence is expected to increase. Comorbidities are an important fall risk factor. Employers could consider industry-relevant high and same-level fall prevention strategies for reducing the workplace injury burden.

In-hospital complications of work-related musculoskeletal injuries

BACKGROUND, OBJECTIVES

Work-related musculoskeletal (MSK) injuries are a major contributor to morbidity worldwide and frequently result in hospitalisation. Hospital complications are common, costly, and largely preventable, but relevant data is required to address this. This study aimed to identify the incidence and factors associated with in-hospital complications of work-related MSK injuries.

METHODS

This study is based on work-related MSK hospital admission data from Victorian Admitted Episodes Database, 2016-2022. Complications were identified based on ICD-10-AM coding using CHADx (Classification of Hospital Acquired Diagnoses). Negative binomial and logistic regression analyses were performed to identify factors related to in-hospital complications.

RESULTS

In-hospital complications occurred in 6.3 % of work-related MSK injury admissions. In the adjusted models, ages ≥45 years, female sex, and area-level disadvantage were associated with in-hospital complications. Stay at public (vs private) hospitals, comorbidity, emergency admissions, and general anaesthesia were also associated. Complication rates were higher in hospitalised workers with direct head, neck, and trunk injuries and cumulative MSK disorders than those with direct extremities injuries and acute MSK conditions. The most common complications were cardiovascular, gastrointestinal complications and adverse drug events.

CONCLUSION

This study identified patient, injury and hospital-related characteristics associated with in-hospital complications of work-related MSK injuries for informing prevention strategies and risk estimation by hospital staff and workers' compensation schemes. The results demonstrate a sizable rate of complications given the relatively young and healthy study population.

Repeat self-harm and mental health service use after self-harm in Culturally and Linguistically Diverse communities: Insights from a data linkage study in Victoria, Australia

PURPOSE

To examine the associations between Culturally and Linguistically Diverse backgrounds (vs non-Culturally and Linguistically Diverse) and in-hospital death due to self-harm, repeat self-harm and mental health service use after self-harm.

METHOD

A retrospective study of 42,127 self-harm hospital inpatients aged 15+ years in Victoria, Australia, from July 2008 to June 2019. Linked hospital and mental health service data were used to assess in-hospital death, repeat self-harm and mental health service use in the 12 months following index self-harm hospital admission. Logistic regression and zero-inflated negative binomial regression models were used to estimate associations between cultural background and outcomes.

RESULTS

Culturally and Linguistically Diverse people accounted for 13.3% of self-harm hospital inpatients. In-hospital death (0.8% of all patients) was negatively associated with Culturally and Linguistically Diverse background. Within 12 months, 12.9% of patients had self-harm readmission and 20.1% presented to emergency department with self-harm. Logistic regression components of zero-inflated negative binomial regression models showed no differences in the odds of (hospital-treated) self-harm reoccurrence between Culturally and Linguistically Diverse and non- Culturally and Linguistically Diverse self-harm inpatients. However, count components of models show that among those with repeat self-harm, Culturally and Linguistically Diverse people (e.g. born in Southern and Central Asia) made fewer additional hospital revisits than non-Culturally and Linguistically Diverse people. Clinical mental health service contacts following self-harm were made in 63.6% of patients, with Culturally and Linguistically Diverse people (Asian backgrounds 43.7%) less likely to make contact than the non-Culturally and Linguistically Diverse group (65.1%).

CONCLUSIONS

Culturally and Linguistically Diverse and non-Culturally and Linguistically Diverse people did not differ in the likelihood of hospital-treated repeat self-harm, but among those with self-harm repetition Culturally and Linguistically Diverse people had fewer recurrences than non-Culturally and Linguistically Diverse people and utilised mental health services less following self-harm admissions.

Trends in mortality outcomes of hospital-admitted injury in Victoria, Australia 2001-2021

Due to advancements in trauma treatment methods, it is expected that survivability of hospital-admitted injuries gradually improves over time. However, measurement of trends in all-cause injury survivability is complicated by changes in case mix, demographics and hospital admission policy. The aim of this study is to determine trends in hospital-admitted injury survivability in Victoria, Australia, taking case-mix and patient demographics into account, and to explore the potential impact of changes in hospital admission practices. Injury admission records (ICD-10-AM codes S00-T75 and T79) between 1 July 2001 and 30 June 2021 were extracted from the Victorian Admitted Episodes Dataset. ICD-based Injury Severity Score (ICISS) calculated from Survival Risk Ratios for Victoria was used as an injury severity measure. Death-in-hospital was modelled as a function of financial year, adjusting for age group, sex and ICISS, as well as admission type and length of stay. There were 19,064 in-hospital deaths recorded in 2,362,991 injury-related hospital admissions in 2001/02-2020/21. Rates of in-hospital death decreased from 1.00% (866/86,998) in 2001/02 to 0.72% (1115/154,009) in 2020/21. ICISS was a good predictor of in-hospital death with an area-under-the-curve of 0.91. In-hospital death was associated with financial year (Odds Ratio 0.950 [95%CI 0.947, 0.952]), in logistic regression modelling adjusted for ICISS, age and sex. In stratified modelling, decreasing injury death trends were observed in each of the top 10 injury diagnoses (together constituting > 50% of cases). Admission type and length of stay were added to the model: these did not alter the effect of year on in-hospital death. In conclusion, a 28% reduction in rates of in-hospital deaths in Victoria was observed over the 20-year study period, in spite of aging of the injured population. This amounts to 1222 additional lives saved in 2020/21 alone. Survival Risk Ratios therefore change markedly over time. A better understanding of the drivers of positive change will help to further reduce the injury burden in Victoria.

Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea

BACKGROUND

Physical trauma-related mortality places a heavy burden on society. Estimating the mortality risk in physical trauma patients is crucial to enhance treatment efficiency and reduce this burden. The most popular and accurate model is the Injury Severity Score (ISS), which is based on the Abbreviated Injury Scale (AIS), an anatomical injury severity scoring system. However, the AIS requires specialists to code the injury scale by reviewing a patient's medical record; therefore, applying the model to every hospital is impossible.

OBJECTIVE

We aimed to develop an artificial intelligence (AI) model to predict in-hospital mortality in physical trauma patients using the International Classification of Disease 10th Revision (ICD-10), triage scale, procedure codes, and other clinical features.

METHODS

We used the Korean National Emergency Department Information System (NEDIS) data set (N=778,111) compiled from over 400 hospitals between 2016 and 2019. To predict in-hospital mortality, we used the following as input features: ICD-10, patient age, gender, intentionality, injury mechanism, and emergent symptom, Alert/Verbal/Painful/Unresponsive (AVPU) scale, Korean Triage and Acuity Scale (KTAS), and procedure codes. We proposed the ensemble of deep neural networks (EDNN) via 5-fold cross-validation and compared them with other state-of-the-art machine learning models, including traditional prediction models. We further investigated the effect of the features.

RESULTS

Our proposed EDNN with all features provided the highest area under the receiver operating characteristic (AUROC) curve of 0.9507, outperforming other state-of-the-art models, including the following traditional prediction models: Adaptive Boosting (AdaBoost; AUROC of 0.9433), Extreme Gradient Boosting (XGBoost; AUROC of 0.9331), ICD-based ISS (AUROC of 0.8699 for an inclusive model and AUROC of 0.8224 for an exclusive model), and KTAS (AUROC of 0.1841). In addition, using all features yielded a higher AUROC than any other partial features, namely, EDNN with the features of ICD-10 only (AUROC of 0.8964) and EDNN with the features excluding ICD-10 (AUROC of 0.9383).

CONCLUSIONS

Our proposed EDNN with all features outperforms other state-of-the-art models, including the traditional diagnostic code-based prediction model and triage scale.