Knowledge of sex differences in risk factors for posttraumatic stress disorder (PTSD) can contribute to the development of refined preventive interventions. Therefore, the aim of this study was to examine if women and men differ in their vulnerability to risk factors for PTSD.

As part of the longitudinal AURORA study, 2924 patients seeking emergency department (ED) treatment in the acute aftermath of trauma provided self-report assessments of pre- peri- and post-traumatic risk factors, as well as 3-month PTSD severity. We systematically examined sex-dependent effects of 16 risk factors that have previously been hypothesized to show different associations with PTSD severity in women and men.

Women reported higher PTSD severity at 3-months post-trauma. Z-score comparisons indicated that for five of the 16 examined risk factors the association with 3-month PTSD severity was stronger in men than in women. In multivariable models, interaction effects with sex were observed for pre-traumatic anxiety symptoms, and acute dissociative symptoms; both showed stronger associations with PTSD in men than in women. Subgroup analyses suggested trauma type-conditional effects.

Our findings indicate mechanisms to which men might be particularly vulnerable, demonstrating that known PTSD risk factors might behave differently in women and men. Analyses did not identify any risk factors to which women were more vulnerable than men, pointing toward further mechanisms to explain women's higher PTSD risk. Our study illustrates the need for a more systematic examination of sex differences in contributors to PTSD severity after trauma, which may inform refined preventive interventions.

Several hypotheses may explain the association between substance use, posttraumatic stress disorder (PTSD), and depression. However, few studies have utilized a large multisite dataset to understand this complex relationship. Our study assessed the relationship between alcohol and cannabis use trajectories and PTSD and depression symptoms across 3 months in recently trauma-exposed civilians.

In total, 1618 (1037 female) participants provided self-report data on past 30-day alcohol and cannabis use and PTSD and depression symptoms during their emergency department (baseline) visit. We reassessed participant's substance use and clinical symptoms 2, 8, and 12 weeks posttrauma. Latent class mixture modeling determined alcohol and cannabis use trajectories in the sample. Changes in PTSD and depression symptoms were assessed across alcohol and cannabis use trajectories via a mixed-model repeated-measures analysis of variance.

Three trajectory classes (low, high, increasing use) provided the best model fit for alcohol and cannabis use. The low alcohol use class exhibited lower PTSD symptoms at baseline than the high use class; the low cannabis use class exhibited lower PTSD and depression symptoms at baseline than the high and increasing use classes; these symptoms greatly increased at week 8 and declined at week 12. Participants who already use alcohol and cannabis exhibited greater PTSD and depression symptoms at baseline that increased at week 8 with a decrease in symptoms at week 12.

Our findings suggest that alcohol and cannabis use trajectories are associated with the intensity of posttrauma psychopathology. These findings could potentially inform the timing of therapeutic strategies.

There is evidence that the COVID-19 pandemic has negatively affected mental health, but most studies have been conducted in the general population.

To identify factors associated with mental health during the COVID-19 pandemic in individuals with pre-existing mental illness.

Participants (N = 2869, 78% women, ages 18–94 years) from a UK cohort (the National Centre for Mental Health) with a history of mental illness completed a cross-sectional online survey in June to August 2020. Mental health assessments were the GAD-7 (anxiety), PHQ-9 (depression) and WHO-5 (well-being) questionnaires, and a self-report question on whether their mental health had changed during the pandemic. Regressions examined associations between mental health outcomes and hypothesised risk factors. Secondary analyses examined associations between specific mental health diagnoses and mental health.

A total of 60% of participants reported that mental health had worsened during the pandemic. Younger age, difficulty accessing mental health services, low income, income affected by COVID-19, worry about COVID-19, reduced sleep and increased alcohol/drug use were associated with increased depression and anxiety symptoms and reduced well-being. Feeling socially supported by friends/family/services was associated with better mental health and well-being. Participants with a history of anxiety, depression, post-traumatic stress disorder or eating disorder were more likely to report that mental health had worsened during the pandemic than individuals without a history of these diagnoses.

We identified factors associated with worse mental health during the COVID-19 pandemic in individuals with pre-existing mental illness, in addition to specific groups potentially at elevated risk of poor mental health during the pandemic.

The factors associated with opioid poisoning death are poorly understood. We performed a retrospective autopsy study of decedents (a term used for people who are deceased) of opioid poisoning in Wales in 2015. Using anonymized linked data, we describe demographic characteristics, patterns of emergency service utilization, and clinical presentation prior to death.

Decedents of opioid poisoning in Wales in 2015 were identified from the Office of National Statistics (ONS) mortality dataset. Records were linked with the Emergency Department Dataset (EDDS) by the National Welsh Informatics Service (NWIS); and held in the Secure Anonymized Information Linkage (SAIL) databank. The data were accessed and analyzed in the SAIL gateway.

Age at death ranged from eighteen to seventy-eight years, with a mean age of forty-two years. Average male age was forty-one years and average female age was forty-four and a half years. Seventy-three percent of decedents were men (n = 228/312). Eight-seven percent of decedents (n = 281/312) attended the emergency department in the three years prior to death. In total 2081 attendances were made, forty-one percent of which involved conveyance by ambulance. Attendances per individual ranged from one to 114, with over half of decedents attending more than three times. Diagnostic codes were mostly missing or non-specific, with only seven and a half percent of attendances representing eighty-two decedents, coded as drug related. Treatment codes were also mostly missing or non-specific, with sixteen percent of attendances representing 148 attendees attributed a treatment code. Thirty-nine percent of attendances (n = 822) ended in treatment and discharge, whilst twenty-seven percent (n = 562) led to hospital admission.

Matching previously published data, we found that fatal opioid poisoning is preceded by a period of high emergency health service utilization. On average decedents were in their fifth decade and more likely to be male than female. Attendances varied widely, with men less likely to attend than women.

Patients who experience Transient Ischaemic Attack (TIA) should be assessed and treated in a specialist clinic to reduce risk of further TIA or stroke. But referrals are often delayed. We aimed to identify published studies describing pathways for emergency assessment and referral of patients with suspected TIA at first medical contact: primary care; ambulance services; and emergency department.

We conducted a scoping literature review. We searched four databases (PubMed, CINAHL, Web of Science, Scopus). We screened studies for eligibility. We extracted and analysed data to describe setting, assessment and referral processes reported in primary research on referral of suspected TIA patients directly to specialist outpatient services.

We identified eight studies in nine papers from five countries: 1/9 randomized trial; 6/9 before-and-after designs; 2/9 descriptive account. Five pathways were used by family doctors and three by Emergency Department (ED) physicians. None were used by paramedics. Clinicians identified TIA patients using a checklist incorporating the ABCD2 tool to describe risk of further stroke, online decision support tool or clinical judgement. They referred to a specialist clinic, either directly or via a telephone helpline. Anti-platelet medication was often given, usually aspirin unless contraindicated. Some patients underwent neurological and blood tests before referral and discharge. Five studies reported reduced incident of stroke at 90 days, from 6–10 percent predicted rate to 1.2-2.1 percent actual rate. Between 44 percent and 83 percent of suspected TIA cases in these studies were directly referred to stroke clinics through the pathways.

Research literature has focused on assessment and referral by family doctors and ED physicians to reduce hospitalization of TIA patients. No pathways for paramedic use were reported. Since many suspected TIA patients present to ambulance services, effective pre-hospital assessment and referral pathways are needed. We will use review results to develop a paramedic referral pathway to test in a feasibility trial.

Adequate pain relief at the scene of injury and during transport to hospital is a major challenge in all acute traumas, especially for those with hip fractures, whose injuries are difficult to immobilize and long-term outcomes may be adversely affected by administration of opiate analgesics. Fascia Iliaca Compartment Block (FICB) is a procedure routinely undertaken by clinicians in emergency departments for hip fracture patients, but use by paramedics at the scene of emergency calls, is not yet evaluated (1).

We undertook a randomized controlled feasibility trial using novel audited scratchcard randomization to allocate eligible patients to FICB or usual care. Paramedics are recruited and trained to assess patients for hip fracture and carry out FICB. We will follow up patients to assess accuracy of paramedic diagnosis, acceptability to patients and paramedics, compliance of paramedics and also measures of pain, side effects, time in hospital and quality of life in order to plan a full trial if appropriate. The primary outcome measure is health related quality of life, measured using Short Form (SF)-12 at 1 and 6 months. Interviews and focus groups will be used to understand acceptability of FICB to patients and paramedics. This study was funded by Health and Care Research Wales (1003).

We have developed:

• • paramedic pathway to assess patients for hip fracture and FICB

• • paramedic training package, delivered by Consultant Anaesthetist

• • randomization scratchcards.

To date we have recruited nineteen paramedics; ten are fully trained and recruiting patients, the remainder are being trained. Fifty-four patients have been randomized and thirty-five have consented to follow-up. Thirteen 1-month and five 6-month follow-up questionnaires have been received.

This study will enable us to recommend whether to undertake a definitive multi-centre randomized controlled trial of FICB by paramedics for hip fracture to determine if the procedure is effective for patients and worthwhile for the National Health Service.

New approaches are needed to safely reduce emergency admissions to hospital by targeting interventions effectively in primary care. A predictive risk stratification tool (PRISM) identifies each registered patient's risk of an emergency admission in the following year, allowing practitioners to identify and manage those at higher risk. We evaluated the introduction of PRISM in primary care in one area of the United Kingdom, assessing its impact on emergency admissions and other service use.

We conducted a randomized stepped wedge trial with cluster-defined control and intervention phases, and participant-level anonymized linked outcomes. PRISM was implemented in eleven primary care practice clusters (total thirty-two practices) over a year from March 2013. We analyzed routine linked data outcomes for 18 months.

We included outcomes for 230,099 registered patients, assigned to ranked risk groups.

Overall, the rate of emergency admissions was higher in the intervention phase than in the control phase: adjusted difference in number of emergency admissions per participant per year at risk, delta = .011 (95 percent Confidence Interval, CI .010, .013). Patients in the intervention phase spent more days in hospital per year: adjusted delta = .029 (95 percent CI .026, .031). Both effects were consistent across risk groups.

Primary care activity increased in the intervention phase overall delta = .011 (95 percent CI .007, .014), except for the two highest risk groups which showed a decrease in the number of days with recorded activity.

Introduction of a predictive risk model in primary care was associated with increased emergency episodes across the general practice population and at each risk level, in contrast to the intended purpose of the model. Future evaluation work could assess the impact of targeting of different services to patients across different levels of risk, rather than the current policy focus on those at highest risk.