ORCID Profile
0000-0002-4867-2098
Current Organisations
Murdoch Children's Research Institute
,
University of Melbourne
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Publisher: CSIRO Publishing
Date: 2017
DOI: 10.1071/AH16050
Abstract: Objective Capturing information about mental health, drug and alcohol conditions in injury datasets is important for improving understanding of injury risk and outcome. This study describes the prevalence of pre-existing mental health, drug and alcohol conditions in major trauma patients based on routine discharge data coding. Methods Data were extracted from the population-based Victorian State Trauma Registry (July 2005 to June 2013, n = 16 096). Results Seventeen percent of major trauma patients had at least one mental health condition compared with the Australian population prevalence of 21%. The prevalence of mental health conditions was similar to the Australian population prevalence in men (19% v. 18%), but lower in women (14% v. 25%) and across all age groups. Mental health conditions were more prevalent in intentional self-harm cases (56.3%) compared with unintentional (13.8%) or other intentional (31.2%) cases. Substance use disorders were more prevalent in major trauma patients than the general population (15% v. 5%), higher in men than women (17% v. 10%) and was highest in young people aged 25–34 years (24%). Conclusions Under-reporting of mental health conditions in hospital discharge data appears likely, reducing the capacity to characterise the injury population. Further validation is needed. What is known about the topic? Medical record review, routine hospital discharge data and self-report have been used by studies previously to characterise mental health, drug and alcohol conditions in injured populations, with medical record review considered the most accurate and reliance on self-report measures being considered at risk of recall bias. The use of routinely collected data sources provides an efficient and standardised method of characterising pre-existing conditions, but may underestimate the true prevalence of conditions. What does this paper add? No study to date has explored the prevalence of Abbreviated Injury Scale and International Classification of Diseases and Health Related Problems, Tenth Revision, Australian Modification (ICD-10-a.m)-coded mental health, alcohol and drug conditions in seriously injured populations. The results of this study show the incidence of mental health conditions appeared to be under-reported in major trauma patients, suggesting limitations in the use of ICD-10-a.m. to measure mental health comorbidities. What are the implications for practitioners? In order to achieve improvements in measuring mental health, drug and alcohol comorbidities, we suggest the use of a series of different diagnostic systems to be used in conjunction with ICD-10-a.m., such as medical record review and self-reporting as well as linkage to other datasets. When applied simultaneously, diagnosis and outcomes of mental health may be compared and validated across diagnostic systems and deviations in diagnoses could be more readily accounted for.
Publisher: Oxford University Press (OUP)
Date: 03-05-2018
DOI: 10.1093/ASJ/SJX153
Publisher: SAGE Publications
Date: 19-04-2019
Abstract: Despite the reliance on administrative data in epidemiological studies, there is little information on the completeness of co-morbidities in administrative data coded from medical records. The aim of this study was to quantify the agreement between the International Classification of Diseases, Tenth Revision, Australian Modification (ICD-10-AM) administrative coding of mental health, drug and alcohol co-morbidities and medical records in a severely injured patient population. A random s le of patients ( n = 500) captured by the Victorian State Trauma Registry and definitively managed at the state’s adult major trauma services was selected for the study. Retrospective medical record review was conducted to collect data about documented co-morbidities. The agreement between ICD-10-AM data generated from routine hospital coding and medical record–based co-morbidities was determined using Cohen’s κ and prevalence-adjusted bias-adjusted kappa (PABAK) statistics. The percentage of agreement between the medical record and ICD-10-AM coding for mental health, drug and alcohol co-morbidities was 72.8%, and the PABAK showed moderate agreement (PABAK = 0.46 95% confidence interval (CI): 0.37, 0.54). There was no difference in agreement between unintentional injury patients (PABAK = 0.52 95% CI: 0.42, 0.62) compared with intentional injury patients (PABAK = 0.36, 95% CI: 0.23, 0.49), and no change in agreement for patients admitted before (PABAK = 0.40 95% CI: 0.30, 0.50) and after the introduction of mandatory co-morbidity coding (PABAK = 0.46 95% CI: 0.37, 0.54). Despite documentation in the medical record, a large proportion of mental health, drug and alcohol conditions were not coded in ICD-10-AM. Acknowledgement of these limitations is needed when using ICD-10-AM coded co-morbidities in research studies and health policy development. This work has implications for researchers of drug and alcohol abuse mental health accidents and injuries workers' compensation health workforce health services and policy decisions for healthcare, emergency services, insurance industry, national productivity and welfare costings reliant on those research outcomes.
Publisher: Wiley
Date: 19-04-2021
DOI: 10.1111/RESP.14059
Publisher: European Respiratory Society
Date: 07-09-2020
Publisher: Elsevier BV
Date: 2017
DOI: 10.1016/J.INJURY.2016.10.038
Abstract: Self-harm and intentional injuries represent a significant public health concern. People who survive serious injury from self-harm can experience poor outcomes that negatively impact on their daily life. The aim of this study was to investigate a cohort of major trauma patients hospitalised for self-harm in Victoria, and to identify risk factors for longer term mortality, functional recovery and return to work. 482 adult major trauma patients who were injured due to self-harm and survived to hospital discharge, and were captured by the population-based Victorian State Trauma Registry (VSTR), were included. For those with a date of injury from January 1, 2007 to December 31, 2013, demographics and injury event data, Glasgow Outcome Scale Extended (GOS-E) and return to work (RTW) outcomes at 6, 12 and 24 months post-injury were extracted from the registry. Post-discharge mortality was identified through the Victorian Registry of Births, Deaths and Marriages (BDM). Multivariable logistic regression was used to determine predictors of the GOS-E and RTW and survival analysis was used to identify predictors of mortality. A total of 37 (7.7%) deaths occurred post-discharge. There were no clear predictors of all-cause mortality. Overall, 36% of patients reported making a good recovery at 24 months. Older age (p=0.01), transport-related methods of self-harm (p=0.02), higher Injury Severity Score (p<0.001) and having a Charlson Comorbidity Index weighting of one or more (p=0.02) were predictive of poorer functional recovery. Of patients who were working or studying prior to injury, 54% reported returning to work by 24 months post-injury. Higher Injury Severity Score was an important predictor of not returning to work (p=0.002). The vast majority of major trauma patients who self-harmed and survived to hospital discharge were alive at two years post-injury, yet only half of this cohort returned to work and just over a third of patients experienced a good recovery.
Publisher: Springer Science and Business Media LLC
Date: 05-06-2018
Publisher: Elsevier BV
Date: 07-2019
DOI: 10.1016/J.INJURY.2019.05.004
Abstract: To i) quantify the agreement between comorbidities documented within medical records and an orthopaedic trauma dataset and ii) compare agreement between these sources before and after the introduction of new comorbidity coding rules in Australian hospitals. A random s le of adult (≥ 16 years) orthopaedic trauma patients (n = 400) were extracted from the Victorian Orthopaedic Trauma Outcomes Registry (VOTOR). Diagnoses of obesity, arthritis, diabetes and cardiac conditions documented within patients' medical records were compared to ICD-10-AM comorbidity codes (provided by hospitals) for the same admission. Agreement was calculated (Cohen's kappa) before and after the introduction of new coding rules. All comorbidities had the same or higher prevalence in medical record data compared to coded data. Kappa values ranged from <0.001 (poor agreement) for coronary artery disease to 0.94 (excellent agreement) for type 2 diabetes. There was improvement in agreement between sources for most conditions following the introduction of new coding rules. There has been improvement in the coding of certain comorbidities since the introduction of new coding rules, suggesting that, since 2015, administrative data has improved capacity to capture patients' comorbidity profiles. Consideration must be taken when using the ICD-10-AM data due to its limitations.
No related grants have been discovered for Tu Quan Nguyen.