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Lau G, Gabbe BJ, Mitra B, Dietze PM, Reeder S, Cameron P, Read DJ, Beck B. Association between acute pre-injury alcohol use and 12-month health outcomes for survivors of major trauma: A registry-based study. Injury 2024; 55:111782. [PMID: 39154490 DOI: 10.1016/j.injury.2024.111782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 08/03/2024] [Indexed: 08/20/2024]
Abstract
INTRODUCTION Alcohol is commonly detected in patients presenting to hospital after major trauma and is a key preventable risk factor for injury. While it has been suggested that alcohol intoxication at the time of injury results in worse acute patient outcomes, there is currently limited knowledge on the impact of alcohol on health outcomes following hospital discharge. The aim of this study was to examine the relationship between acute pre-injury alcohol exposure and the self-reported health outcomes of survivors of major trauma 12-months post-injury. METHODS Data from the Victorian State Trauma Registry (January 1, 2018 to December 31, 2020) were used to identify major trauma patients who: (1) were aged ≥18 years; (2) survived to 12-months post-injury; and (3) had blood alcohol data available in the registry. Logistic regression analyses were used to examine differences in self-reported health status (EQ-5D) and return to work at 12-months post-injury by blood alcohol concentration (BAC) at the time of presentation to hospital. Analyses were adjusted for potential confounders including a range of demographic, hospital and injury characteristics. RESULTS A total of 2957 patients met inclusion criteria, of which 857 (29.0 %) had a BAC >0 and 690 (23.3 %) had a BAC ≥0.05 g/100 mL. After adjusting for potential confounders, having any alcohol detected (i.e., BAC >0) was associated with lower odds of reporting problems on the EQ-5D mobility (aOR = 0.72, 95 %CI = 0.53 to 0.99) and usual activities dimensions (aOR = 0.79, 95 %CI = 0.63 to 0.99). Having a BAC ≥0.05 g/100 mL was only associated with lower adjusted odds of reporting problems on the usual activities dimension (aOR = 0.69, 95 %CI = 0.55 to 0.88) of the EQ-5D. Alcohol detection was not associated with the self-care, pain/discomfort or anxiety/depression dimensions of the EQ-5D, or with return to work in adjusted analyses. CONCLUSION Acute pre-injury alcohol exposure was not associated with increased reporting of problems on the EQ-5D or with return to work at 12-months post-injury. Further research is needed to understand why patients with alcohol detections were sometimes associated with paradoxically better 12-month post-injury outcomes relative to patients without alcohol detections.
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Affiliation(s)
- Georgina Lau
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Belinda J Gabbe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, UK
| | - Biswadev Mitra
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Emergency and Trauma Centre, The Alfred Hospital, Melbourne, Australia
| | - Paul M Dietze
- Behaviours and Health Risks Program, Burnet Institute, Melbourne, Australia; National Drug Research Institute, Curtin University, Perth, Australia
| | - Sandra Reeder
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Central Clinical School, Monash University, Melbourne, Australia
| | - Peter Cameron
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Emergency and Trauma Centre, The Alfred Hospital, Melbourne, Australia
| | - David J Read
- Trauma Service, The Royal Melbourne Hospital, Melbourne, Australia; Department of Surgery, University of Melbourne, Melbourne, Australia
| | - Ben Beck
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Houston K, Harris S, Teklezghi A, Silvey S, Snyder AD, Arias AJ, Bajaj JS. Referral to hepatology is lower in patients with excessive alcohol use who have mental health disorders despite a high fibrosis-4 index. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2024; 48:1898-1904. [PMID: 39305286 DOI: 10.1111/acer.15422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 07/19/2024] [Accepted: 07/29/2024] [Indexed: 10/10/2024]
Abstract
BACKGROUND Alcohol use disorder (AUD) is a multifaceted disease, and integration of AUD treatment between mental health and hepatology is necessary to improve outcomes. We aimed to ascertain whether patients with excessive alcohol use (EAU) and high FIB-4, which is a non-invasive method to identify advanced liver disease, are appropriately referred to hepatology and detect which clinical barriers, if any, might pertain. METHODS Records of patients with excessive alcohol use between 2013 and 2023 were extracted from a large public system. Demographics, alcohol-related hospitalizations, mental health conditions, Charlson comorbidity index (CCI) and referral patterns were evaluated. Comparisons were made between those referred to hepatology versus not. RESULTS 1131 subjects showed evidence of EAU but on further review, 189 were in alcohol-remission. The remaining 942 (636 men, age 55.7 ± 14.5 years, 548 white, 363 black, 19 Hispanic) subjects with CCI 2.61 ± 2.23 were further analyzed for FIB-4 score and referral patterns. 316 patients had active EAU and a high FIB-4, of whom only 116 (37%) were referred to hepatology. Patients with alcohol-related mental health concerns and admitted for trauma were less likely to be referred. Logistic regression showed referral was higher with alcohol-related liver hospitalizations (OR: 9.25, 95% CI: 4.90-17.47, p < 0.001), higher CCI (OR: 6.23, 95% CI: 3.00-12.94, p < 0.0001) and lower with mental health admissions (OR: 0.36, 95% CI: 0.15-0.48, p < 0.001) or mental health diagnoses (OR: 0.36, 95% CI: 0.15-0.82, p = 0.02) and increasing age (OR: 0.95, 95% CI: 0.92-0.97, p < 0.001). CONCLUSIONS In a large public health system, almost 63% of patients with EAU and FIB-4 >2.67 are not referred to hepatology for evaluation. Patients not referred were more likely to have alcohol-related mental-health hospitalizations and mental health diagnoses, while those with liver-related hospitalizations and comorbidities were more likely to be referred. Greater education of mental health providers and for teams taking care of inpatients admitted with alcohol-related mental health concerns would better integrate care and improve outcomes for patients with higher risk for advanced liver disease.
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Affiliation(s)
- Kevin Houston
- School of Medicine, Richmond VA Medical Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Spencer Harris
- Department of Internal Medicine, Richmond VA Medical Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Adonay Teklezghi
- Division of Gastroenterology, Hepatology and Nutrition, Richmond VA Medical Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Scott Silvey
- Department of Population Health, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Andrew D Snyder
- Division of Psychiatry, Richmond VA Medical Center, Richmond, Virginia, USA
| | - Albert J Arias
- Department of Psychiatry, VCU Medical Center, Virginia Commonwealth University School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Jasmohan S Bajaj
- Department of Internal Medicine, Richmond VA Medical Center, Virginia Commonwealth University, Richmond, Virginia, USA
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Advani SD, Smith AG, Kalu IC, Perez R, Hendren S, Dantes RB, Edwards JR, Soe M, Yi SH, Young J, Anderson DJ. Evidence gaps among systematic reviews examining the relationship of race, ethnicity, and social determinants of health with adult inpatient quality measures. ANTIMICROBIAL STEWARDSHIP & HEALTHCARE EPIDEMIOLOGY : ASHE 2024; 4:e139. [PMID: 39346672 PMCID: PMC11427999 DOI: 10.1017/ash.2024.397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 06/13/2024] [Accepted: 06/17/2024] [Indexed: 10/01/2024]
Abstract
Background The field of healthcare epidemiology is increasingly focused on identifying, characterizing, and addressing social determinants of health (SDOH) to address inequities in healthcare quality. To identify evidence gaps, we examined recent systematic reviews examining the association of race, ethnicity, and SDOH with inpatient quality measures. Methods We searched Medline via OVID for English language systematic reviews from 2010 to 2022 addressing race, ethnicity, or SDOH domains and inpatient quality measures in adults using specific topic questions. We imported all citations to Covidence (www.covidence.org, Veritas Health Innovation) and removed duplicates. Two blinded reviewers assessed all articles for inclusion in 2 phases: title/abstract, then full-text review. Discrepancies were resolved by a third reviewer. Results Of 472 systematic reviews identified, 39 were included. Of these, 23 examined all-cause mortality; 6 examined 30-day readmission rates; 4 examined length of stay, 4 examined falls, 2 examined surgical site infections (SSIs) and one review examined risk of venous thromboembolism. The most evaluated SDOH measures were sex (n = 9), income and/or employment status (n = 9), age (n = 6), race and ethnicity (n = 6), and education (n = 5). No systematic reviews assessed medication use errors or healthcare-associated infections. We found very limited assessment of other SDOH measures such as economic stability, neighborhood, and health system access. Conclusion A limited number of systematic reviews have examined the association of race, ethnicity and SDOH measures with inpatient quality measures, and existing reviews highlight wide variability in reporting. Future systematic evaluations of SDOH measures are needed to better understand the relationships with inpatient quality measures.
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Affiliation(s)
- Sonali D Advani
- Duke Center for Antimicrobial Stewardship and Infection Prevention, Durham, NC, USA
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Alison G Smith
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Ibukunoluwa C Kalu
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Reinaldo Perez
- Duke Center for Antimicrobial Stewardship and Infection Prevention, Durham, NC, USA
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | | | - Raymund B Dantes
- Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Division of Hospital Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Jonathan R Edwards
- Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Minn Soe
- Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sarah H Yi
- Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Janine Young
- Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Division of Academic General Pediatrics, Department of Pediatrics, University of California San Diego School of Medicine, San Diego, CA, USA
| | - Deverick J Anderson
- Duke Center for Antimicrobial Stewardship and Infection Prevention, Durham, NC, USA
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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McDermott C, Colón-Emeric C, Berry S. Risk Assessment and Prevention of Falls-Reply. JAMA 2024; 332:594. [PMID: 39046714 DOI: 10.1001/jama.2024.11827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
Affiliation(s)
- Cara McDermott
- Division of Geriatrics, Duke University, Durham, North Carolina
| | - Cathleen Colón-Emeric
- Duke University, Durham VA Geriatric Research Education and Clinical Center, Durham, North Carolina
| | - Sarah Berry
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts
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Itzkowitz NG, Burford KG, Crowe RP, Wang HE, Lo AX, Rundle AG. Prevalence of indications of alcohol and drug use among patients treated for injurious falls by Emergency Medical Services. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.03.24308063. [PMID: 38883717 PMCID: PMC11177923 DOI: 10.1101/2024.06.03.24308063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
Objective To describe the distribution of alcohol and drug involvement in injurious falls by location and subtype of fall. Methods Using the 2019 National Emergency Medical Services Information System (NEMSIS) dataset we identified 1,854,909 patients injured from falls requiring an Emergency Medical Services (EMS) response and determined the fall location (e.g. indoors or on street/sidewalk) and the EMS clinician's notation of alcohol or drug involvement. We analyzed substance involvement by fall subtype, location of fall and patient demographics. Results Overall, for 7.4% of injurious falls there was a notation of substance use: 6.5% for alcohol alone, 0.6% for drugs and 0.3% for alcohol and drugs. 21.2% of falls that occurred on a street or sidewalk had a notation of substance use; alcohol use alone for 18.5% of falls, drugs alone for 1.7% of falls and alcohol and drugs for 0.9% of falls. Substance use prevalence was highest, at 30.3%, in the age group 21 to 64 years, for falls occurring on streets and sidewalks, without syncope or heat illness as contributing factors; alcohol use alone for 26.3%, drugs alone for 2.6%, and alcohol and drugs for 1.4%. Reported substance use involvement was more frequent for men compared to women for each location type. Conclusions Overall, 1-in-5 injurious falls on streets and sidewalks and requiring EMS attention involved substance use, and these numbers likely underestimate the true burden. As cities seek to expand nightlife districts, design strategies to protect pedestrians from falls should be enacted.
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Lau G, Ang JY, Kim N, Gabbe BJ, Mitra B, Dietze PM, Reeder S, Beck B. Approaches and reporting of alcohol and other drug testing for injured patients in hospital-based studies: A systematic review. Drug Alcohol Rev 2024; 43:897-926. [PMID: 38316529 DOI: 10.1111/dar.13816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 12/18/2023] [Accepted: 01/02/2024] [Indexed: 02/07/2024]
Abstract
ISSUE Hospital alcohol and/or other drug (AOD) testing is important for identifying AOD-related injuries; however, testing methods vary. This systematic review aimed to examine biological AOD testing methods from hospital-based studies of injured patients and quantify what proportion reported key information on those testing methods. APPROACH Observational studies published in English from 2010 onwards involving biological AOD testing for injured patients presenting to hospital were included. Studies examining single injury causes were excluded. Extracted data included concentration thresholds for AOD detection (e.g., lower limits of detection, author-defined cut-offs), test type (e.g., immunoassay, breathalyser) and approach (e.g., routine, clinical discretion), timing of testing, sample type and the proportion of injured cases tested for AODs. KEY FINDINGS Of 83 included studies, 76 measured alcohol and 37 other drugs. Forty-nine studies defined blood alcohol concentration thresholds (ranging from 0 to 0.1 g/100 mL). Seven studies defined concentration thresholds for other drugs. Testing approach was reported in 39/76 alcohol and 18/37 other drug studies. Sample type was commonly reported (alcohol: n = 69/76; other drugs: n = 28/37); alcohol was typically measured using blood (n = 60) and other drugs using urine (n = 20). Studies that reported the proportion of cases tested (alcohol: n = 53/76; other drugs: n = 28/37), reported that between 0% and 89% of cases were not tested for alcohol and 0% and 91% for other drugs. Timing of testing was often unreported (alcohol: n = 61; other drugs: n = 30). IMPLICATIONS AND CONCLUSION Variation in AOD testing methods alongside incomplete reporting of those methods limits data comparability and interpretation. Standardised reporting of testing methods will assist AOD-related injury surveillance and prevention.
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Affiliation(s)
- Georgina Lau
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jia Y Ang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Nayoung Kim
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Belinda J Gabbe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, UK
| | - Biswadev Mitra
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Emergency and Trauma Centre, The Alfred Hospital, Melbourne, Australia
| | - Paul M Dietze
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Disease Elimination Program, Burnet Institute, Melbourne, Australia
- National Drug Research Institute, Curtin University, Perth, Australia
| | - Sandra Reeder
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Central Clinical School, Monash University, Melbourne, Australia
| | - Ben Beck
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Lau G, Mitra B, Gabbe BJ, Dietze PM, Reeder S, Cameron PA, Smit DV, Schneider HG, Symons E, Koolstra C, Stewart C, Beck B. Prevalence of alcohol and other drug detections in non-transport injury events. Emerg Med Australas 2024; 36:78-87. [PMID: 37717234 PMCID: PMC10952644 DOI: 10.1111/1742-6723.14312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 08/15/2023] [Accepted: 08/21/2023] [Indexed: 09/19/2023]
Abstract
OBJECTIVE To measure the prevalence of alcohol and/or other drug (AOD) detections in suspected major trauma patients with non-transport injuries who presented to an adult major trauma centre. METHODS This registry-based cohort study examined the prevalence of AOD detections in patients aged ≥18 years who: (i) sustained non-transport injuries; and (ii) met predefined trauma call-out criteria and were therefore managed by an interdisciplinary trauma team between 1 July 2021 and 31 December 2022. Prevalence was measured using routine in-hospital blood alcohol and urine drug screens. RESULTS A total of 1469 cases met the inclusion criteria. Of cases with a valid blood test (n = 1248, 85.0%), alcohol was detected in 313 (25.1%) patients. Of the 733 (49.9%) cases with urine drug screen results, cannabinoids were most commonly detected (n = 103, 14.1%), followed by benzodiazepines (n = 98, 13.4%), amphetamine-type substances (n = 80, 10.9%), opioids (n = 28, 3.8%) and cocaine (n = 17, 2.3%). Alcohol and/or at least one other drug was detected in 37.4% (n = 472) of cases with either a blood alcohol or urine drug test completed (n = 1263, 86.0%). Multiple substances were detected in 16.6% (n = 119) of cases with both blood alcohol and urine drug screens (n = 718, 48.9%). Detections were prevalent in cases of interpersonal violence (n = 123/179, 68.7%) and intentional self-harm (n = 50/106, 47.2%), and in those occurring on Friday and Saturday nights (n = 118/191, 61.8%). CONCLUSION AOD detections were common in trauma patients with non-transport injury causes. Population-level surveillance is needed to inform prevention strategies that address AOD use as a significant risk factor for serious injury.
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Affiliation(s)
- Georgina Lau
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Biswadev Mitra
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Emergency and Trauma CentreThe Alfred HospitalMelbourneVictoriaAustralia
| | - Belinda J Gabbe
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Health Data Research UK, Swansea University Medical SchoolSwansea UniversitySwanseaUK
| | - Paul M Dietze
- Disease Elimination Program, Burnet InstituteMelbourneVictoriaAustralia
- National Drug Research InstituteCurtin UniversityPerthWestern AustraliaAustralia
| | - Sandra Reeder
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Central Clinical SchoolMonash UniversityMelbourneVictoriaAustralia
| | - Peter A Cameron
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Emergency and Trauma CentreThe Alfred HospitalMelbourneVictoriaAustralia
| | - De Villiers Smit
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Emergency and Trauma CentreThe Alfred HospitalMelbourneVictoriaAustralia
- National Trauma Research InstituteThe Alfred HospitalMelbourneVictoriaAustralia
| | - Hans G Schneider
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Department of PathologyThe Alfred HospitalMelbourneVictoriaAustralia
| | - Evan Symons
- Alfred Mental and Addiction HealthThe Alfred HospitalMelbourneVictoriaAustralia
| | - Christine Koolstra
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Emergency and Trauma CentreThe Alfred HospitalMelbourneVictoriaAustralia
| | - Cara Stewart
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Emergency and Trauma CentreThe Alfred HospitalMelbourneVictoriaAustralia
| | - Ben Beck
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
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Lau G, Ang JY, Kim N, Gabbe BJ, Mitra B, Dietze PM, Reeder S, Scott D, Beck B. Prevalence of Alcohol and Other Drug Use in Patients Presenting to Hospital for Violence-Related Injuries: A Systematic Review. TRAUMA, VIOLENCE & ABUSE 2024; 25:306-326. [PMID: 36794786 PMCID: PMC10666504 DOI: 10.1177/15248380221150951] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Substance use is a risk factor for being both a perpetrator and a victim of violence. The aim of this systematic review was to report the prevalence of acute pre-injury substance use in patients with violence-related injuries. Systematic searches were used to identify observational studies that included patients aged ≥15 years presenting to hospital after violence-related injuries and used objective toxicology measures to report prevalence of acute pre-injury substance use. Studies were grouped based on injury cause (any violence-related, assault, firearm, and other penetrating injuries including stab and incised wounds) and substance type (any substance, alcohol only, drugs other than alcohol only), and they were summarized using narrative synthesis and meta-analyses. This review included 28 studies. Alcohol was detected in 13%-66% of any violence-related injuries (five studies), 4%-71% of assaults (13 studies), 21%-45% of firearm injuries (six studies; pooled estimate = 41%, 95% CI: 40%-42%, n = 9,190), and 9%-66% of other penetrating injuries (nine studies; pooled estimate = 60%, 95% CI: 56%-64%, n = 6,950). Drugs other than alcohol were detected in 37% of any violence-related injuries (one study), 39% of firearm injuries (one study), 7%-49% of assaults (five studies), and 5%-66% of penetrating injuries (three studies). The prevalence of any substance varied across injury categories: any violence-related injuries = 76%-77% (three studies), assaults = 40%-73% (six studies), firearms = n/a, other penetrating injuries = 26%-45% (four studies; pooled estimate = 30%, 95% CI: 24%-37%, n = 319).Overall, substance use was frequently detected in patients presenting to hospital for violence-related injuries. Quantification of substance use in violence-related injuries provides a benchmark for harm reduction and injury prevention strategies.
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Affiliation(s)
| | - Jia Y. Ang
- Monash University, Melbourne, VIC, Australia
| | - Nayoung Kim
- Monash University, Melbourne, VIC, Australia
| | - Belinda J. Gabbe
- Monash University, Melbourne, VIC, Australia
- Swansea University, Swansea, UK
| | - Biswadev Mitra
- Monash University, Melbourne, VIC, Australia
- Emergency and Trauma Centre, The Alfred Hospital, Melbourne, VIC, Australia
| | - Paul M. Dietze
- Burnet Institute, Melbourne, VIC, Australia
- Curtin University, Perth, WA, Australia
| | | | - Debbie Scott
- Monash University, Melbourne, VIC, Australia
- Turning Point, Melbourne, VIC, Australia
| | - Ben Beck
- Monash University, Melbourne, VIC, Australia
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Mitra B, Ball H, Lau G, Symons E, Fitzgerald MC. Alcohol-related trauma presentations among older teenagers. Emerg Med Australas 2023; 35:269-275. [PMID: 36316024 DOI: 10.1111/1742-6723.14109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 10/02/2022] [Accepted: 10/02/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE The objectives of the present study were to report the proportion of older teenagers, including the subgroup operating a motor vehicle, presenting to an adult major trauma centre after injury with a positive blood alcohol concentration (BAC) over a 12-year period. METHODS This was a registry-based cohort study, including all patients aged 16-19 years presenting to an adult major trauma centre in Victoria, Australia from January 2008 to December 2019 and included in the trauma registry. A Poisson regression model was used to test for change in incidence of positive BAC associated trauma and summarised using incidence rate ratios (IRRs) and 95% confidence intervals (CIs). RESULTS There were 1658 patients included for analysis and alcohol was detected in 368 (22.2%; 95% CI 20.2-24.3). Most alcohol positive presentations were on weekend days (n = 207; 56.3%) and most were males (n = 307). Over the 12-year period, there was a reduction in the incidence of older teenagers presenting with a positive BAC (IRR 0.95; 95% CI 0.93-0.98; P = 0.001). Among patients presenting after trauma in the setting of operating a motor vehicle (n = 545), alcohol was detected in 80 (14.7%) with no significant change in incidence of positive BAC (IRR 0.95; 95% CI 0.89-1.02; P = 0.17). CONCLUSIONS A substantial proportion of older teenagers included in the registry had alcohol exposure prior to trauma. Despite a modest down-trending incidence, the need for continuing preventive measures is emphasised. In particular, preventive efforts should be targeted at male, older teenagers undertaking drinking activities on weekend days and driving motor vehicles.
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Affiliation(s)
- Biswadev Mitra
- National Trauma Research Institute, The Alfred, Melbourne, Victoria, Australia
- Emergency and Trauma Centre, The Alfred, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Hayley Ball
- National Trauma Research Institute, The Alfred, Melbourne, Victoria, Australia
- Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Georgina Lau
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Evan Symons
- Department of Psychiatry, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Mark C Fitzgerald
- National Trauma Research Institute, The Alfred, Melbourne, Victoria, Australia
- Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Trauma Services, The Alfred, Melbourne, Victoria, Australia
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