Postpartum hemorrhage in electronic health records: risk factors at admission and in-hospital occurrence.

Objective: Postpartum hemorrhage (PPH) is the leading cause of maternal death globally. Therefore, prevention strategies have been created. The study aimed to evaluate the occurrence of PPH and its risk factors after implementing a risk stratification at admission in a teaching hospital. Methods: A retrospective cohort involving a database of SISMATER® electronic medical record. Classification in low, medium, or high risk for PPH was performed through data filled out by the obstetrician-assistant. PPH frequency was calculated, compared among these groups and associated with the risk factors. Results: The prevalence of PPH was 6.8%, 131 among 1,936 women. Sixty-eight (51.9%) of them occurred in the high-risk group, 30 (22.9%) in the medium-risk and 33 (25.2%) in the low-risk group. The adjusted-odds ratio (OR) for PPH were analyzed using a confidence interval (95% CI) and was significantly higher in who presented multiple pregnancy (OR 2.88, 95% CI 1.28 to 6.49), active bleeding on admission (OR 6.12, 95% CI 1.20 to 4.65), non-cephalic presentation (OR 2.36, 95% CI 1.20 to 4.65), retained placenta (OR 9.39, 95% CI 2.90 to 30.46) and placental abruption (OR 6.95, 95% CI 2.06 to 23.48). Vaginal delivery figured out as a protective factor (OR 0.58, 95% CI 0.34 to 0.98). Conclusion: Prediction of PPH is still a challenge since its unpredictable factor arrangements. The fact that the analysis did not demonstrate a relationship between risk category and frequency of PPH could be attributable to the efficacy of the strategy: Women classified as "high-risk" received adequate medical care, consequently.

Changes in admission rates to an Aotearoa New Zealand hospital general medical service during COVID-19 lockdowns.

AIM: To better understand the reasons for reduced hospital admissions to a hospital general medicine service during COVID-19 lockdowns. METHODS: A statistical model for admission rates to the General Medicine Service at Wellington Hospital, Aotearoa New Zealand, since 2015 was constructed. This model was used to estimate changes in admission rates for transmissible and non-transmissible diagnoses during and following COVID-19 lockdowns for total admissions and various sub-groups. RESULTS: For the 2020 lockdown (n=734 admissions), the overall rate ratio of admissions was 0.71 compared to the pre-lockdown rate. Non-transmissible diagnoses, which constitute 87% of admissions, had an admission rate ratio of 0.77. Transmissible diagnoses, constituting 13% of admissions, had an admission rate ratio of 0.44. Reductions in admissions did not exacerbate existing ethnic disparities in access to health services. The lag in recovery of admission rates was more pronounced for transmissible than non-transmissible diagnoses. The 2021 lockdown (n=105 admissions) followed this pattern, but was of shorter duration with small numbers, and therefore measures were frequently not statistically significant. CONCLUSIONS: The biggest relative reduction in hospital admission was due to a reduction in transmissible illness admissions, likely due to COVID-related public health measures. However, the biggest reduction in absolute terms was in non-transmissible illnesses, where hospital avoidance may be associated with increased morbidity or mortality.

Predicting short- to medium-term care home admission risk in older adults: a systematic review of externally validated models.

INTRODUCTION: Predicting risk of care home admission could identify older adults for early intervention to support independent living but require external validation in a different dataset before clinical use. We systematically reviewed external validations of care home admission risk prediction models in older adults. METHODS: We searched Medline, Embase and Cochrane Library until 14 August 2023 for external validations of prediction models for care home admission risk in adults aged ≥65 years with up to 3 years of follow-up. We extracted and narratively synthesised data on study design, model characteristics, and model discrimination and calibration (accuracy of predictions). We assessed risk of bias and applicability using Prediction model Risk Of Bias Assessment Tool. RESULTS: Five studies reporting validations of nine unique models were included. Model applicability was fair but risk of bias was mostly high due to not reporting model calibration. Morbidities were used as predictors in four models, most commonly neurological or psychiatric diseases. Physical function was also included in four models. For 1-year prediction, three of the six models had acceptable discrimination (area under the receiver operating characteristic curve (AUC)/c statistic 0.70-0.79) and the remaining three had poor discrimination (AUC < 0.70). No model accounted for competing mortality risk. The only study examining model calibration (but ignoring competing mortality) concluded that it was excellent. CONCLUSIONS: The reporting of models was incomplete. Model discrimination was at best acceptable, and calibration was rarely examined (and ignored competing mortality risk when examined). There is a need to derive better models that account for competing mortality risk and report calibration as well as discrimination.

Effects of seasonality in emergency admissions for mental disorders: two years of clinical experience.

OBJECTIVES: This retrospective study, conducted in Turin, Italy, between January 2021 and February 2023, investigates the impact of seasonal heatwaves on emergency department (ED) admissions for mental disorders. METHODS: Through the analysis of data from 2,854 patients, this research found a significant link between the occurrence of heatwaves, especially from June to August, and an elevated rate of ED admissions for psychiatric conditions. RESULTS: The data indicate a clear seasonal pattern, with admissions peaking during the hot months and diminishing in the colder months. Particularly, the study delineates an enhanced correlation between heatwaves and admissions for severe psychiatric disorders, such as bipolar disorder, major depression, personality disorders, and schizophrenia, accounting for 1,868 of the cases examined. This correlation was most pronounced among individuals aged 50-59 years. CONCLUSIONS: The results of this study highlight a critical association between the incidence of seasonal heatwaves and an uptick in ED visits for psychiatric disorders, with a distinct impact on severe cases. It underscores the urgency for healthcare systems to anticipate seasonal fluctuations in psychiatric ED admissions and to allocate resources effectively to support patients during peak periods.

Bypassing the Brick-and-Mortar Hospital: Increasing Direct Admissions from the Emergency Department to Inpatient Hospital-at-Home.

Home hospital programs continue to grow across the United States. There are limited studies around the process of patient selection and successful acquisition from the emergency department. The article describes how an interdisciplinary team used quality improvement methodology to significantly increase the number of admissions directly from the emergency department to the Advanced Care at Home program.

Costs of hospital admissions due to COVID-19 in the federal capital of Brazil: a study based on hospital admission authorizations.

This is a cost analysis study based on hospital admissions, conducted from the perspective of the Brazilian Unified Health System (SUS), carried out in a cohort of patients hospitalized at the University Hospital of Brasília (UHB) due to Severe Acute Respiratory Infections (SARI) caused by COVID-19, from April 1, 2020, to March 31, 2022. An approach based on macro-costing was used, considering the costs per patient identified in the Hospital Admission Authorizations (HAA). Were identified 1,015 HAA from 622 patients. The total cost of hospitalizations was R$ 2,875,867.18 for 2020 and 2021. Of this total, 86.41 % referred to hospital services and 13.59 % to professional services. The highest median cost per patient identified was for May 2020 (R$ 19,677.81 IQR [3,334.81-33,041.43]), while the lowest was in January 2021 (R$ 1,698.50 IQR [1,602.70-2,224.11]). The high cost of treating patients with COVID-19 resulted in a high economic burden of SARI due to COVID-19 for UHB and, consequently, for SUS.

Delayed vs Early Admission to Intensive Care: A Retrospective Review of Outcomes and Clinical Indicators of Deterioration Following Trauma.

Unplanned admission to an intensive care unit (ICU) is a trauma quality improvement indicator associated with increased morbidity, mortality, and hospital resource usage. We identified demographics, injuries, and other clinical factors between early ICU admission, <72 hrs after admission (EAd), and delayed admission, >72 hrs (DelAd) from a medical/surgical floor. 146 trauma patients admitted to ICU at a level 1 trauma center from January 2020 to March 2023 met inclusion criteria and were divided into EAd and DelAd. No statistical differences in injury mechanism or severity were observed. Delayed admission demonstrated higher mortality (P = .001), more frequent decline in GCS (P = .045), and initiation of anticoagulation (P = .002). Abnormal EKG, orthopedic surgery during admission, and home anticoagulant and antidepressant use were statistically significant in identifying patients requiring early ICU admission.

Price for waiting: the adverse outcomes of boarding critically ill elderly medical patients in the emergency department.

PURPOSE: Boarding, the period in which a patient spends in the emergency department (ED) before admission, may be hazardous to critically ill patients, particularly the elderly. This study investigated the associations of boarding with hospital course, prognosis, and medical expenditure in older patients. METHODS: From January 2019 to December 2021, the medical records of older patients (age ≥ 65) visiting the ED of a tertiary referral hospital who were admitted to the medical intensive care unit (ICU) were retrospectively reviewed. Eligible patients were categorized into two groups according to boarding time with a cutoff set at 6 h. Primary outcomes were in-hospital mortality, ICU/hospital length of stay, and total/average hospitalization cost. Subgroup analyses considered age and disease type. RESULTS: Among 1318 ICU admissions from the ED, 36% were subjected to boarding for over 6 h. Prolonged boarding had a longer ICU (8.9 ± 8.8 vs. 11.2 ± 12.2 days, P < .001) and hospital (17.8 ± 20.1 vs. 22.8 ± 23.0 days, P < .001) stay, higher treatment cost (10.4 ± 13.9 vs. 13.2 ± 16.5 thousands of USD, P = .001), and hospital mortality (19% vs. 25% P = .020). Multivariate regression analysis showed a longer ICU stay in patients aged 65-79 (8.3 ± 8.4 vs. 11.8 ± 14.2 days, P < .001) and cardiology patients (6.9 ± 8.4 vs. 8.8 ± 9.7 days, P = .001). Besides, the treatment cost was also higher for both groups (10.4 ± 14.6 vs. 13.7 ± 17.7 thousands of USD, P = .004 and 8.4 ± 14.0 vs. 11.7 ± 16.6 thousands of USD, P < .001, respectively). CONCLUSION: Extended ED boarding for critically ill medical patients over 65 years old was associated with negative outcomes, including longer ICU/hospital stays, higher treatment costs, and hospital mortality.

Is Insurance Payer Associated With Hospital Admission of Emergency Department Patients With Mandible Fractures?

BACKGROUND: There is a lack of consensus on the optimal triage pathway for emergency department (ED) patients with mandibular fractures. It remains unclear if patient insurance payers predict hospital admission given potentially competing logistical and health system incentives. PURPOSE: To generate nationally representative estimates of the frequency of hospital admission and its association with primary insurance payers for ED patients with mandible fractures. METHODS: This retrospective cohort study used the 2018 Nationwide Emergency Department Sample, the largest all-payer database in the United States, to identify patients with mandible fractures. The database includes a stratified sample with discharge weights to generate nationally representative estimates. Patients with other facial fractures and/or concomitant injuries that independently warranted admission were excluded. PREDICTOR: The primary predictor variable was primary payer (public, private, self-pay, and other/no charge). OUTCOME VARIABLE: The primary outcome variable was hospital admission (yes/no). COVARIATES: Covariates included patient-, medical/injury-, and hospital-related variables. ANALYSES: Descriptive statistics, along with bivariate and multivariate logistic regression with Bonferroni correction, were used to produce national estimates and identify predictors of admission. P < .01 was considered significant. RESULTS: The cohort included 27,238 weighted encounters involving isolated mandible fractures, of which 5,345(20%) were admitted. The payers for admitted patients were 46% public, 25% private, 22% self-pay, and 7% no charge/other. In bivariate analyses, public insurance was associated with a higher likelihood of admission than private insurance (RR 1.24, 95% CI 1.06 to 1.45), though there was no association in the multivariate model (OR 1.03, 95% CI 0.83 to 1.28). In multivariate analysis, higher Charlson Comorbidity Index (OR 1.32, 95% CI 1.18 to 1.48), alcohol-related disorder (OR 3.47, 95% CI 2.74 to 4.39), substance-related disorder (OR 1.43, 95% CI 1.20 to 1.71), and more mandible fractures (OR 3.08, 95% CI 2.65 to 3.59) were associated with admission. Compared to body fractures, subcondylar (OR 3.83, 95% CI 2.39 to 6.14), angle (OR 3.53, 95% CI 2.84 to 6.09), and symphysis (OR 4.14, 95% CI 2.84 to 6.09) fractures had higher odds of admission. Finally, level I (OR 4.11, 95% CI 2.41 to 6.98) and level II (OR 3.16, 95% CI 1.85 to 5.39) trauma centers had higher odds of admission. CONCLUSIONS: In 2018, 20% of ED patients with isolated mandible fractures were admitted. Several patient and hospital characteristics were predictors of admission. Insurance status was not associated with admission.

The association of off-hour vs. on-hour intensive care unit admission time with mortality in patients with cardiogenic shock: a retrospective multi-centre analysis.

AIMS: Studies have shown a so-called off-hour effect for many different diseases, but data are scarce concerning cardiogenic shock. We therefore assessed the association of off-hour vs. on-hour intensive care unit admission with 30-day mortality in patients with cardiogenic shock. METHODS AND RESULTS: In total, 1720 cardiogenic shock patients (666 admitted during off-hours) from two large university hospitals in Germany were included in retrospect. An admission during off-hours was associated with increased 30-day mortality compared to an admission during on-hours [crude mortality 48% vs. 41%, HR 1.17 (1.03-1.33), P = 0.017]. This effect remained significant after propensity score matching (P = 0.023). Neither patients with a combined SCAI stage D and E (P = 0.088) or C (P = 0.548) nor those requiring cardiopulmonary resuscitation (P = 0.114) had a higher mortality at off-hour admission. In contrast, those without veno-arterial extracorporeal membrane oxygenation [HR 1.17 (1.00-1.36), P = 0.049], without acute myocardial infarction [HR 1.27 (1.02-1.56), P = 0.029] or a with combined SCAI stage A and B [HR 2.23 (1.08-4.57), P = 0.025] had an increased mortality at off-hour admission. CONCLUSION: Our study showed an increased mortality in patients with cardiogenic shock admitted during off-hours, especially in those with a milder onset of disease. This stresses the importance of a thorough workup of each patient, especially at times of limited resources, the menace of underestimating the severity of cardiogenic shock, and the need for an improved 24×7 available risk stratification.

Variations in Hospital Admissions of Non-Communicable Disease Patients Before and During The COVID-19 Pandemic (A Tertiary Care Setting, January 2018-June 2021).

BACKGROUND: This study aimed to analyze the variations (if any) in hospital admissions of patients with any of the five common non-communicable diseases (NCDs), based on secondary analysis of electronic health records of patients admitted to Hacettepe University Hospitals at least once, from January 1, 2018 through June 15, 2021. DESIGN: Data were recruited from hospital's electronic health records on patients with diagnoses of ischemic heart disease, hypertension, diabetes, cancer, and chronic obstructive pulmonary disease, using relevant ICD-10 codes. RESULTS: Compared to the corresponding time span in the pre-pandemic period, the number of hospital admissions of patients with selected five NCDs significantly decreased during the pandemic, with an official start in Turkey on March 11, 2020. Number of total-, out-patient-, and in-patient admissions of NCD patients were significantly lower in the pandemic period compared to the expected values in time series analysis, controlling for patient characteristics, and seasonality. CONCLUSIONS: Study findings suggest that there has been a prominent impediment in NCD patients' access to, and/or use of health care services over the pandemic, which might evolve to higher admission rates, severity and fatality of such patients in the upcoming years. Further studies are warranted for confirmation of our findings in other care settings, with individual-based data on care compensation through settings other than regular admission sites (if any), and/or the reasons for under-use of services.

Bushfire-smoke trigger hospital admissions with cerebrovascular diseases: Evidence from 2019-20 bushfire in Australia.

INTRODUCTION: Exposure to ambient air pollution is strongly associated with increased cerebrovascular diseases. The 2019-20 bushfire season in Australia burnt 5.4 million hectares of land in New South Wales alone, with smoke so severe it affected cities in Argentina, 11,000 km away. The smoke emitted by bushfires consists of both gaseous and particle components. It is important to note that exposure to particulate matter has been shown to be linked to a heightened risk of stroke, which is the primary kind of cerebrovascular illness, as well as an increased likelihood of hospitalisations and mortality. However, the available data is inadequate in terms of documenting the response of patients diagnosed with a proven cerebrovascular illness to bushfire smoke. Additionally, there is a lack of information about the health effects associated with particulate matter throughout the bushfire season and on days when smoke was present in 2019 and 2020.Therefore, we aimed to determine the effects of (i) short-term air pollution triggered by bushfires and (ii) high smoke days in increasing the daily number of hospital admissions with cerebrovascular diseases. MATERIALS AND METHODS: Hospitalisation data were accessed from the admitted patient dataset from seven local Government areas of Hunter New England Local Health District. The bushfire period was defined from 1 October 2019 to 10 February 2020, and a same period from 2018-19 as the control. High bushfire smoke days were days when the average daily concentration of particulate matter was higher than the 95th percentile of the control period. Poisson regression models and fixed effect meta-analysis were used to analyse the data. RESULTS: In total, 275 patients with cerebrovascular admissions were identified, with 147 (53.5%) during the bushfire (2019-20) and 128 (46.5%) in the control period (2018-19). There was no significant increase in daily admissions for cerebrovascular disease (Incidence Rate Ratio, IRR: 1.04; 95% CI: 0.81-1.34; p-value: 0.73), acute stroke (IRR: 1.15; 95% CI: 0.88-1.50; p-value: 0.29) or acute ischaemic stroke (IRR: 1.18; 95% CI: 0.87-1.59; p-value: 0.28), over the entire bushfire period. However, the high bushfire smoke days were associated with increased acute ischaemic stroke-related hospital admissions across lead 0-3 and the highest cumulative effect was observed with lead 0 (IRR:1.52; 95% CI: 1.01-2.29; p-value: 0.04). In addition, during the bushfire period, particulate matter, both PM10 and PM2.5 (defined as particulates that have an effective aerodynamic diameter of 10, and 2.5 microns, respectively), were also associated with increased acute ischaemic stroke admissions with a lag of 0-3 days. DISCUSSION AND CONCLUSION: The results suggested a possible association between particulate matter and high smoke days with increased hospital admissions due to acute ischaemic stroke during the recent Australian bushfire season.

SARS-CoV-2 Infection, Hospitalization, and Mortality in Adults With and Without Cancer.

Importance: Patients with cancer are at increased risk of SARS-CoV-2-associated adverse outcomes. Objective: To determine the associations of tumor type with SARS-CoV-2 infection, hospitalization, intensive care unit (ICU) admission, and death. Design, Setting, and Participants: This retrospective, population-based cohort study included community-dwelling adults aged at least 18 years in Ontario, Canada, ICES-linked provincial health databases from January 1, 2020, to November 30, 2021. Data were analyzed from December 1, 2021, to November 1, 2022. Exposures: Cancer diagnosis. Main Outcomes and Measures: The primary outcome was SARS-CoV-2 infection, and secondary outcomes included all-cause 14-day hospitalization, 21-day ICU admission, and 28-day death following SARS-CoV-2 infection. Cox proportional hazards models were used to obtain adjusted hazard ratios (aHRs) and 95% CIs. Results: Of 11 732 108 people in the ICES-linked health databases, 279 287 had cancer (57.2% female; mean [SD] age, 65.9 [16.1] years) and 11 452 821 people did not have cancer (45.7% female; mean [SD] age, 65.9 [16.0] years). Overall, 464 574 individuals (4.1%) developed SARS-CoV-2 infection. Individuals with hematologic malignant neoplasms (33 901 individuals) were at increased risk of SARS-CoV-2 infection (aHR, 1.19; 95% CI, 1.13-1.25), 14-day hospitalization (aHR, 1.75; 95% CI, 1.57-1.96), and 28-day mortality (aHR, 2.03; 95% CI, 1.74-2.38) compared with the overall population, while individuals with solid tumors (245 386 individuals) were at lower risk of SARS-CoV-2 infection (aHR, 0.93; 95% CI, 0.91-0.95) but increased risk of 14-day hospitalization (aHR, 1.11; 95% CI, 1.05-1.18) and 28-day mortality (aHR, 1.31; 95% CI, 1.19-1.44). The 28-day mortality rate was high in hospitalized patients with hematologic malignant neoplasms (163 of 321 hospitalized patients [50.7%]) or solid tumors (486 of 1060 hospitalized patients [45.8%]). However, the risk of 21-day ICU admission in patients with hematologic malignant neoplasms (aHR, 1.14; 95% CI, 0.93-1.40) or solid tumors (aHR, 0.93; 95% CI, 0.82-1.05) was not significantly different from that among individuals without cancer. The SARS-CoV-2 infection risk decreased stepwise with increasing numbers of COVID-19 vaccine doses received (1 dose: aHR, 0.63; 95% CI, 0.62-0.63; 2 doses: aHR, 0.16; 95% CI, 0.16-0.16; 3 doses: aHR, 0.05; 95% CI, 0.04-0.06). Conclusions and Relevance: These findings highlight the importance of prioritization strategies regarding ICU access to reduce the mortality risk in increased-risk populations, such as patients with cancer.

Racial Disparity in Tympanostomy Tube Placement in Inpatient Pediatric Admissions.

This study aims to evaluate if race and ethnicity affect rates of tympanostomy tube (TT) placement during inpatient pediatric admissions in children with otologic conditions. A review of the 2016 Kids' Inpatient Database was conducted based on the International Classification of Diseases, 10th revision, Clinical Modification (ICD-10-CM) codes for common otologic conditions. Among 85 827 weighted pediatric inpatient discharges with ICD-10-CM codes for common otologic conditions, 213 underwent TT placement. Odds ratios (ORs) for children of Hispanic ethnicity and Asian or Pacific Islander race undergoing TT placement when compared to other ethnicities and races were 0.60 (P = .011) and 0.21 (P = .040), respectively. Multiple logistic regression showed Hispanic ethnicity was associated with lower rates of TT placement when compared to non-Hispanic white children (OR = 0.62; 95% confidence interval = 0.40-0.96). Future studies should assess why these differences exist and if these differences are associated with racial/ethnic bias or attributed to patient/family preference.

Evaluation of pregnancy outcomes in mothers with COVID-19 infection: a systematic review and meta-analysis.

Pregnant women are one of the endangered groups who need special attention in the COVID-19 epidemic. We conducted a systematic review and summarised the studies that reported adverse pregnancy outcomes in pregnant women with COVID-19 infection. A literature search was performed in PubMed and Scopus up to 1 September 2022, for retrieving original articles published in the English language assessing the association between COVID-19 infection and adverse pregnancy outcomes. Finally, in this review study, of 1790 articles obtained in the initial search, 141 eligible studies including 1,843,278 pregnant women were reviewed. We also performed a meta-analysis of a total of 74 cohort and case-control studies. In this meta-analysis, both fixed and random effect models were used. Publication bias was also assessed by Egger's test and the trim and fill method was conducted in case of a significant result, to adjust the bias. The result of the meta-analysis showed that the pooled prevalence of preterm delivery, maternal mortality, NICU admission and neonatal death in the group with COVID-19 infection was significantly more than those without COVID-19 infection (p<.01). A meta-regression was conducted using the income level of countries. COVID-19 infection during pregnancy may cause adverse pregnancy outcomes including of preterm delivery, maternal mortality, NICU admission and neonatal death. Pregnancy loss and SARS-CoV2 positive neonates in Lower middle income are higher than in High income. Vertical transmission from mother to foetus may occur, but its immediate and long-term effects on the newborn are unclear.

Is there a 'weekend effect' on mortality among hospitalised patients in an internal medicine ward? A retrospective study.

BACKGROUND: Previous studies demonstrated a 'weekend effect' and a 'night effect' of increased mortality among patients admitted during weekends or night shifts, presumably due to understaffing. AIMS: To examine whether death during hospitalisation follows a similar effect regardless of admission time. METHODS: A retrospective cohort study among deceased patients hospitalised in the internal medicine wing of a tertiary medical centre in Israel, between 2019 and 2020. Demographic and medical data were retrieved from electronic medical charts. Causes of death were specifically categorised. We applied statistical models to test for differences in mortality using incidence rate ratio (IRR) according to the day, time and cause of death. RESULTS: One thousand, two hundred and seventy-eight deceased patients were included. All-cause mortality was similar between weekends and weekdays. When sepsis was the cause of death, higher IRR were demonstrated on Fridays in comparison with weekdays (IRR 1.4; 95% confidence interval (CI) 1.1-1.9; P < 0.05). Other causes of death were not consistent with a 'weekend effect'. Mortality during night shifts was higher in comparison with the afternoon (IRR 1.5; 95% CI 1.3-4.7) and similar to the morning (IRR 1; 95% CI 0.9-1.2). CONCLUSION: Our study did not find a pattern of 'weekend effect' or 'night effect' on all-cause mortality among hospitalised patients in internal medicine wards. Our findings suggest that perhaps specifically death from sepsis, and not all-cause mortality, can be used as a surrogate for the measurement of understaffing or quality of care in the internal ward.

Associations between violence, self-harm and acute psychiatric service use: Implications for inpatient care.

WHAT IS KNOWN ON THE SUBJECT?: Service users who behave violently may suffer. This is because violence can lead to unnecessary medication, seclusion on the ward and strained relationships with other people. It can also affect a service user's self-esteem and lead to feelings of shame. Service users who behave violently can also make life frightening and unpredictable for members of staff, and other service users on the ward. It is important to gain a sound understanding of violence in order to help reduce it. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: Previous research has shown that having a past history of violence, being admitted to PICU and being admitted to hospital under section is associated with violent behaviour on the ward. We identified several new factors associated with violent behaviour, such as engaging in self-harm, being the target of another person's violence and being referred to a Psychiatric Liaison Team. IMPLICATIONS FOR PRACTICE: For some service users, behaving violently may be a response to previous trauma and an expression of distress. It is therefore important that mental health nurses are supported by their employers to work with service users in a trauma-informed manner. Nurses employed across a range of psychiatric settings could benefit from direct interventions such as comprehensive trauma-informed care training and psychological debrief spaces, or systemic interventions to address staff shortages and improve ward conditions. ABSTRACT: INTRODUCTION: Instances of violence in acute psychiatric settings are frequent, can be devastating for service users and staff, and are costly. Such settings would benefit from a greater understanding of violence. AIM: We analysed the association between current and historical variables and rates of inpatient violence. To address gaps in current research, we included instances of self-harm and being the target of violence. We also included seldom used service metrics. METHOD: Data were extracted on admissions to acute adult wards and PICUs 2017-2020 within South London and Maudsley NHS Foundation Trust. A zero-inflated negative binomial regression mixed model was used to analyse the impact of variables on rates of violence. RESULTS: Variables associated with an increased rate of violence were as follows: an increased number of violent incidents in the year before admission, being admitted on MHA section, being admitted to PICU, instances of self-harm, being the target of violence and referral to a Psychiatric Liaison Team. DISCUSSION: The novel associations found between enacting violence, self-harm and being the target of violence indicate trauma-informed care is crucial to reduce violent presentations of distress. IMPLICATIONS FOR PRACTICE: System level interventions are crucial to ensure mental health nurses are supported to provide trauma-informed care.