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This paper introduces a conditional generative adversarial network to redesign a street-level image of urban scenes by generating 1) an urban intervention policy, 2) an attention map that localises where intervention is needed, 3) a high-resolution street-level image (1024 X 1024 or 1536 X1536) after implementing the intervention. We also introduce a new dataset that comprises aligned street-level images of before and after urban interventions from real-life scenarios that make this research possible. The introduced method has been trained on different ranges of urban interventions applied to realistic images. The trained model shows strong performance in re-modelling cities, outperforming existing methods that apply image-to-image translation in other domains that is computed in a single GPU. This research opens the door for machine intelligence to play a role in re-thinking and re-designing the different attributes of cities based on adversarial learning, going beyond the mainstream of facial landmarks manipulation or image synthesis from semantic segmentation.

Cycling is a promising sustainable mode for commuting and leisure in cities, however, the fear of getting hit or fall reduces its wide expansion as a commuting mode. In this paper, we introduce a novel method called CyclingNet for detecting cycling near misses from video streams generated by a mounted frontal camera on a bike regardless of the camera position, the conditions of the built, the visual conditions and without any restrictions on the riding behaviour. CyclingNet is a deep computer vision model based on convolutional structure embedded with self-attention bidirectional long-short term memory (LSTM) blocks that aim to understand near misses from both sequential images of scenes and their optical flows. The model is trained on scenes of both safe rides and near misses. After 42 hours of training on a single GPU, the model shows high accuracy on the training, testing and validation sets. The model is intended to be used for generating information that can draw significant conclusions regarding cycling behaviour in cities and elsewhere, which could help planners and policy-makers to better understand the requirement of safety measures when designing infrastructure or drawing policies. As for future work, the model can be pipelined with other state-of-the-art classifiers and object detectors simultaneously to understand the causality of near misses based on factors related to interactions of road-users, the built and the natural environments., Comment: 13 Pages, 5 figures

The success of driver graduated licensing systems (GLS) is demonstrated primarily in jurisdictions that licence at young ages with requirements expiring at age 18. In Australia, GLS requirements typically apply for all applicants aged under 25. In 2007, the Queensland licensing system was strengthened, extending the learner and introducing a 100-hour supervised driving requirement, introducing restrictions on passenger carriage at night and high-powered vehicles for provisional drivers, and on phone use for all novice drivers (learner and provisional). The objective of the current research was to evaluate whether these changes were associated with reductions in crashes (all) and killed-and-serious-injury (KSI) crashes involving novice drivers, and respective casualties. Government licensing and police crash records were linked and interrupted time series analysis was used to examine potential shifts in crash trends by rates of licensed drivers per month. Substantial declines were found in novice driver crashes (13.1% per year; 95%CI -0.0130, -0.0096), crash casualties (13.9% per year; 95%CI -0.0137, -0.0101), KSI crashes (5.4% per year; 95%CI -0.0080, -0.0046) and associated casualties (5.2% per year; 95%CI -0.0075, -0.0039). Compared to the total licensed driver population, declines in crashes (3.0% per year; 95%CI -0.0027, -0.0007) and crash casualties (2.9% per year; 95%CI -0.0029, -0.0006) but not KSI outcomes were observed. More narrowly, declines were found for provisional-licensed driver crashes (9.3% per year; 95%CI -0.0096, -0.0063) and KSI crashes (3.6% per year; 95%CI -0.0004, -0.0128) that were approximately 2.6% and 1.2% greater than respective declines for 25-29-year-old open-licensed drivers. Substantial declines also were observed in novice driver single-vehicle, night, passenger and alcohol crashes. Overall, these results demonstrate that GLS can be effective in a later age licensing jurisdiction. However, KSI outcomes were limited. Modelling resear

Transport and Logistics

Objective: To quantify psychological morbidity and identify baseline factors associated with depression, anxiety and post-traumatic distress symptoms up to 12 months post-injury. Methods: Multicentre cohort study of 668 adults, aged 16 to 70, admitted to 4 UK NHS hospital trusts. Data on injury, socio-demographic characteristics and health status was collected at recruitment. Depression, anxiety and post-traumatic distress were measured at 1, 2, 4 and 12 months post-injury. Multilevel linear regression assessed associations between patient and injury characteristics and psychological outcomes over 12 months follow-up. Results: Depression, anxiety and post-traumatic distress scores were highest 1 month post-injury, and remained above baseline at 2, 4 and 12 months post-injury. Moderate or severe injuries, previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age (45-64 years), greater deprivation and lower pre-injury quality of life (QoL) were associated with higher depression scores post-injury. Previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age, greater deprivation and lower pre-injury QoL were associated with higher anxiety scores post-injury. Traffic injuries or injuries from being struck by objects, multiple injures (≥ 3), being female, previous psychiatric diagnoses, higher pre-injury anxiety scores and greater deprivation were associated with higher post-traumatic distress scores post-injury. Conclusion: A range of risk factors, identifiable shortly after injury, are associated with psychological morbidity occurring up to 12 months post-injury in a general trauma population. Further research is required to explore the utility of these, and other risk factors in predicting psychological morbidity on an individual patient basis.

Background: The benefits of work for physical, psychological and financial wellbeing are well documented. Return to work (RTW) after unintentional injury is often delayed, and psychological morbidity may contribute to this delay. The impact of psychological morbidity on RTW after a wide range of unintentional injuries in the UK has not been adequately quantified. Aims: To quantify the role of psychological factors including anxiety, depression and post-traumatic distress on RTW following unintentional injuries. Design and Setting: Longitudinal multi-centre prospective study in Nottingham, Bristol, Leicester and Guildford, UK Method: Participants (n=273) were 16-69 year olds admitted to hospital following unintentional injury and, in paid employment prior to injury. They were surveyed at baseline, 1, 2, 4 and 12 months following injury on demographic and injury characteristics, psychological morbidity and RTW status. Associations between demographic, injury and psychological factors and RTW status were quantified using random effects logistic regression. Results: The odds of RTW reduced as depression scores one month post-injury increased (OR 0.87, 95%CI 0.79, 0.95) and as length of hospital stay increased (OR 0.91, 95%CI 0.86, 0.96). Those experiencing threatening life events following injury (OR 0.27, 95%CI 0.10, 0.72) and with higher scores on the crisis social support scale (OR 0.93, 95%CI 0.88, 0.99) had a lower odds of RTW. Multiple imputation analysis found similar results except crisis social support did not remain significant. Conclusion: Primary care professionals can identify patients at risk of delayed RTW who may benefit from management of psychological morbidity and support to RTW.

Purpose Unintentional injuries have a significant long-term health impact in working age adults. Depression, anxiety and post-traumatic stress disorder are common post-injury, but their impact on self-reported recovery has not been investigated in general injury populations. This study investigated the role of psychological predictors 1 month post-injury in subsequent self-reported recovery from injury in working-aged adults. Methods A multicentre cohort study was conducted of 668 unintentionally injured adults admitted to five UK hospitals followed up at 1, 2, 4 and 12 months post-injury. Logistic regression explored relationships between psychological morbidity 1 month post-injury and self-reported recovery 12 months post-injury, adjusting for health, demographic, injury and socio-legal factors. Multiple imputations were used to impute missing values. Results A total of 668 adults participated at baseline, 77% followed up at 1 month and 63% at 12 months, of whom 383 (57%) were included in the main analysis. Multiple imputation analysis included all 668 participants. Increasing levels of depression scores and increasing levels of pain at 1 month and an increasing number of nights in hospital were associated with significantly reduced odds of recovery at 12 months, adjusting for age, sex, centre, employment and deprivation. The findings were similar in the multiple imputation analysis, except that pain had borderline statistical significance. Conclusions Depression 1 month post-injury is an important predictor of recovery, but other factors, especially pain and nights spent in hospital, also predict recovery. Identifying and managing depression and providing adequate pain control are essential in clinical care post-injury.

Objective: To quantify psychological morbidity and identify baseline factors associated with depression, anxiety and post-traumatic distress symptoms up to 12 months post-injury. Methods: Multicentre cohort study of 668 adults, aged 16 to 70, admitted to 4 UK NHS hospital trusts. Data on injury, socio-demographic characteristics and health status was collected at recruitment. Depression, anxiety and post-traumatic distress were measured at 1, 2, 4 and 12 months post-injury. Multilevel linear regression assessed associations between patient and injury characteristics and psychological outcomes over 12 months follow-up. Results: Depression, anxiety and post-traumatic distress scores were highest 1 month post-injury, and remained above baseline at 2, 4 and 12 months post-injury. Moderate or severe injuries, previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age (45-64 years), greater deprivation and lower pre-injury quality of life (QoL) were associated with higher depression scores post-injury. Previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age, greater deprivation and lower pre-injury QoL were associated with higher anxiety scores post-injury. Traffic injuries or injuries from being struck by objects, multiple injures (≥ 3), being female, previous psychiatric diagnoses, higher pre-injury anxiety scores and greater deprivation were associated with higher post-traumatic distress scores post-injury. Conclusion: A range of risk factors, identifiable shortly after injury, are associated with psychological morbidity occurring up to 12 months post-injury in a general trauma population. Further research is required to explore the utility of these, and other risk factors in predicting psychological morbidity on an individual patient basis.

Background: The benefits of work for physical, psychological and financial wellbeing are well documented. Return to work (RTW) after unintentional injury is often delayed, and psychological morbidity may contribute to this delay. The impact of psychological morbidity on RTW after a wide range of unintentional injuries in the UK has not been adequately quantified. Aims: To quantify the role of psychological factors including anxiety, depression and post-traumatic distress on RTW following unintentional injuries. Design and Setting: Longitudinal multi-centre prospective study in Nottingham, Bristol, Leicester and Guildford, UK Method: Participants (n=273) were 16-69 year olds admitted to hospital following unintentional injury and, in paid employment prior to injury. They were surveyed at baseline, 1, 2, 4 and 12 months following injury on demographic and injury characteristics, psychological morbidity and RTW status. Associations between demographic, injury and psychological factors and RTW status were quantified using random effects logistic regression. Results: The odds of RTW reduced as depression scores one month post-injury increased (OR 0.87, 95%CI 0.79, 0.95) and as length of hospital stay increased (OR 0.91, 95%CI 0.86, 0.96). Those experiencing threatening life events following injury (OR 0.27, 95%CI 0.10, 0.72) and with higher scores on the crisis social support scale (OR 0.93, 95%CI 0.88, 0.99) had a lower odds of RTW. Multiple imputation analysis found similar results except crisis social support did not remain significant. Conclusion: Primary care professionals can identify patients at risk of delayed RTW who may benefit from management of psychological morbidity and support to RTW.

Purpose Unintentional injuries have a significant long-term health impact in working age adults. Depression, anxiety and post-traumatic stress disorder are common post-injury, but their impact on self-reported recovery has not been investigated in general injury populations. This study investigated the role of psychological predictors 1 month post-injury in subsequent self-reported recovery from injury in working-aged adults. Methods A multicentre cohort study was conducted of 668 unintentionally injured adults admitted to five UK hospitals followed up at 1, 2, 4 and 12 months post-injury. Logistic regression explored relationships between psychological morbidity 1 month post-injury and self-reported recovery 12 months post-injury, adjusting for health, demographic, injury and socio-legal factors. Multiple imputations were used to impute missing values. Results A total of 668 adults participated at baseline, 77% followed up at 1 month and 63% at 12 months, of whom 383 (57%) were included in the main analysis. Multiple imputation analysis included all 668 participants. Increasing levels of depression scores and increasing levels of pain at 1 month and an increasing number of nights in hospital were associated with significantly reduced odds of recovery at 12 months, adjusting for age, sex, centre, employment and deprivation. The findings were similar in the multiple imputation analysis, except that pain had borderline statistical significance. Conclusions Depression 1 month post-injury is an important predictor of recovery, but other factors, especially pain and nights spent in hospital, also predict recovery. Identifying and managing depression and providing adequate pain control are essential in clinical care post-injury.

Purpose: To demonstrate the impact of psychological morbidity one month post-injury on subsequent post-injury quality of life (HRQoL) in a general injury population in the UK to inform development of trauma care and rehabilitation services. Methods: Multicentre cohort study of 16-70 year olds admitted to 4 UK hospitals following injury. Psychological morbidity and HRQoL (EQ-5D-3L) were measured at recruitment and one, two, four and 12 months post-injury. A reduction in EQ-5D compared to retrospectively assessed pre-injury levels of at least 0.074 was taken as the minimal important difference (MID). Multilevel logistic regression explored relationships between psychological morbidity one month post-injury and MID in HRQoL over the 12 months after injury. Results: 668 adults participated. Follow-up rates were 77% (1 month) and 63% (12 months). Substantial reductions in HRQoL were seen; 93% reported a MID at one month and 58% at 12 months. Problems with pain, mobility and usual activities were commonly reported at each time point. Depression and anxiety scores one month post-injury were independently associated with subsequent MID in HRQoL. The relationship between depression and HRQoL was partly explained by anxiety and to a lesser extent by pain and social functioning. The relationship between anxiety and HRQoL was not explained by factors measured in our study. Conclusions: Hospitalised injuries result in substantial reductions in HRQoL up to 12 months later. Depression and anxiety early in the recovery period are independently associated with lower HRQoL. Identifying and managing these problems, ensuring adequate pain control and facilitating social functioning are key elements in improving HRQoL post-injury.

Background: In the UK, studies suggest that the transition from hospital to home after an injury can be a difficult time and many patients report feeling inadequately prepared. Patients often use primary care services after hospital discharge. These consultations provide opportunities to consider problems that patients experience and to facilitate recovery. Little is known, however, about how patients and service providers view care after hospital discharge and the role played by primary care services, specifically GPs. Aim: To identify good practice and unmet needs in respect of post-discharge support for injured patients. Design and setting: Qualitative study using semi-structured interviews at four sites (Bristol, Leicester/Loughborough, Nottingham, and Surrey). Method: Qualitative interviews with 40 service providers and 45 hospitalised injured patients. Results: Although there were examples of well-managed hospital discharges, many patients felt they were not provided with the information they needed about their injury, what to expect in terms of recovery, pain control, return to work, psychological problems, and services to help meet their needs. They also described difficulty accessing services such as physiotherapy or counselling. Service providers identified problems with communication between secondary and primary care, lack of access to physiotherapy, poor communication about other services that may help patients, GP service and resource constraints, and difficulties in providing information to patients concerning likely prognosis. Conclusion: Discharge from hospital after an injury can be problematic for patients. Changes in both secondary and primary care are required to resolve this problem.

Objective: To quantify psychological morbidity and identify baseline factors associated with depression, anxiety and post-traumatic distress symptoms up to 12 months post-injury. Methods: Multicentre cohort study of 668 adults, aged 16 to 70, admitted to 4 UK NHS hospital trusts. Data on injury, socio-demographic characteristics and health status was collected at recruitment. Depression, anxiety and post-traumatic distress were measured at 1, 2, 4 and 12 months post-injury. Multilevel linear regression assessed associations between patient and injury characteristics and psychological outcomes over 12 months follow-up. Results: Depression, anxiety and post-traumatic distress scores were highest 1 month post-injury, and remained above baseline at 2, 4 and 12 months post-injury. Moderate or severe injuries, previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age (45-64 years), greater deprivation and lower pre-injury quality of life (QoL) were associated with higher depression scores post-injury. Previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age, greater deprivation and lower pre-injury QoL were associated with higher anxiety scores post-injury. Traffic injuries or injuries from being struck by objects, multiple injures (≥ 3), being female, previous psychiatric diagnoses, higher pre-injury anxiety scores and greater deprivation were associated with higher post-traumatic distress scores post-injury. Conclusion: A range of risk factors, identifiable shortly after injury, are associated with psychological morbidity occurring up to 12 months post-injury in a general trauma population. Further research is required to explore the utility of these, and other risk factors in predicting psychological morbidity on an individual patient basis.

Background: The benefits of work for physical, psychological and financial wellbeing are well documented. Return to work (RTW) after unintentional injury is often delayed, and psychological morbidity may contribute to this delay. The impact of psychological morbidity on RTW after a wide range of unintentional injuries in the UK has not been adequately quantified. Aims: To quantify the role of psychological factors including anxiety, depression and post-traumatic distress on RTW following unintentional injuries. Design and Setting: Longitudinal multi-centre prospective study in Nottingham, Bristol, Leicester and Guildford, UK Method: Participants (n=273) were 16-69 year olds admitted to hospital following unintentional injury and, in paid employment prior to injury. They were surveyed at baseline, 1, 2, 4 and 12 months following injury on demographic and injury characteristics, psychological morbidity and RTW status. Associations between demographic, injury and psychological factors and RTW status were quantified using random effects logistic regression. Results: The odds of RTW reduced as depression scores one month post-injury increased (OR 0.87, 95%CI 0.79, 0.95) and as length of hospital stay increased (OR 0.91, 95%CI 0.86, 0.96). Those experiencing threatening life events following injury (OR 0.27, 95%CI 0.10, 0.72) and with higher scores on the crisis social support scale (OR 0.93, 95%CI 0.88, 0.99) had a lower odds of RTW. Multiple imputation analysis found similar results except crisis social support did not remain significant. Conclusion: Primary care professionals can identify patients at risk of delayed RTW who may benefit from management of psychological morbidity and support to RTW.

Purpose Unintentional injuries have a significant long-term health impact in working age adults. Depression, anxiety and post-traumatic stress disorder are common post-injury, but their impact on self-reported recovery has not been investigated in general injury populations. This study investigated the role of psychological predictors 1 month post-injury in subsequent self-reported recovery from injury in working-aged adults. Methods A multicentre cohort study was conducted of 668 unintentionally injured adults admitted to five UK hospitals followed up at 1, 2, 4 and 12 months post-injury. Logistic regression explored relationships between psychological morbidity 1 month post-injury and self-reported recovery 12 months post-injury, adjusting for health, demographic, injury and socio-legal factors. Multiple imputations were used to impute missing values. Results A total of 668 adults participated at baseline, 77% followed up at 1 month and 63% at 12 months, of whom 383 (57%) were included in the main analysis. Multiple imputation analysis included all 668 participants. Increasing levels of depression scores and increasing levels of pain at 1 month and an increasing number of nights in hospital were associated with significantly reduced odds of recovery at 12 months, adjusting for age, sex, centre, employment and deprivation. The findings were similar in the multiple imputation analysis, except that pain had borderline statistical significance. Conclusions Depression 1 month post-injury is an important predictor of recovery, but other factors, especially pain and nights spent in hospital, also predict recovery. Identifying and managing depression and providing adequate pain control are essential in clinical care post-injury.

Purpose: To demonstrate the impact of psychological morbidity one month post-injury on subsequent post-injury quality of life (HRQoL) in a general injury population in the UK to inform development of trauma care and rehabilitation services. Methods: Multicentre cohort study of 16-70 year olds admitted to 4 UK hospitals following injury. Psychological morbidity and HRQoL (EQ-5D-3L) were measured at recruitment and one, two, four and 12 months post-injury. A reduction in EQ-5D compared to retrospectively assessed pre-injury levels of at least 0.074 was taken as the minimal important difference (MID). Multilevel logistic regression explored relationships between psychological morbidity one month post-injury and MID in HRQoL over the 12 months after injury. Results: 668 adults participated. Follow-up rates were 77% (1 month) and 63% (12 months). Substantial reductions in HRQoL were seen; 93% reported a MID at one month and 58% at 12 months. Problems with pain, mobility and usual activities were commonly reported at each time point. Depression and anxiety scores one month post-injury were independently associated with subsequent MID in HRQoL. The relationship between depression and HRQoL was partly explained by anxiety and to a lesser extent by pain and social functioning. The relationship between anxiety and HRQoL was not explained by factors measured in our study. Conclusions: Hospitalised injuries result in substantial reductions in HRQoL up to 12 months later. Depression and anxiety early in the recovery period are independently associated with lower HRQoL. Identifying and managing these problems, ensuring adequate pain control and facilitating social functioning are key elements in improving HRQoL post-injury.

Background: In the UK, studies suggest that the transition from hospital to home after an injury can be a difficult time and many patients report feeling inadequately prepared. Patients often use primary care services after hospital discharge. These consultations provide opportunities to consider problems that patients experience and to facilitate recovery. Little is known, however, about how patients and service providers view care after hospital discharge and the role played by primary care services, specifically GPs. Aim: To identify good practice and unmet needs in respect of post-discharge support for injured patients. Design and setting: Qualitative study using semi-structured interviews at four sites (Bristol, Leicester/Loughborough, Nottingham, and Surrey). Method: Qualitative interviews with 40 service providers and 45 hospitalised injured patients. Results: Although there were examples of well-managed hospital discharges, many patients felt they were not provided with the information they needed about their injury, what to expect in terms of recovery, pain control, return to work, psychological problems, and services to help meet their needs. They also described difficulty accessing services such as physiotherapy or counselling. Service providers identified problems with communication between secondary and primary care, lack of access to physiotherapy, poor communication about other services that may help patients, GP service and resource constraints, and difficulties in providing information to patients concerning likely prognosis. Conclusion: Discharge from hospital after an injury can be problematic for patients. Changes in both secondary and primary care are required to resolve this problem.

Objective: To quantify psychological morbidity and identify baseline factors associated with depression, anxiety and post-traumatic distress symptoms up to 12 months post-injury. Methods: Multicentre cohort study of 668 adults, aged 16 to 70, admitted to 4 UK NHS hospital trusts. Data on injury, socio-demographic characteristics and health status was collected at recruitment. Depression, anxiety and post-traumatic distress were measured at 1, 2, 4 and 12 months post-injury. Multilevel linear regression assessed associations between patient and injury characteristics and psychological outcomes over 12 months follow-up. Results: Depression, anxiety and post-traumatic distress scores were highest 1 month post-injury, and remained above baseline at 2, 4 and 12 months post-injury. Moderate or severe injuries, previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age (45-64 years), greater deprivation and lower pre-injury quality of life (QoL) were associated with higher depression scores post-injury. Previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age, greater deprivation and lower pre-injury QoL were associated with higher anxiety scores post-injury. Traffic injuries or injuries from being struck by objects, multiple injures (≥ 3), being female, previous psychiatric diagnoses, higher pre-injury anxiety scores and greater deprivation were associated with higher post-traumatic distress scores post-injury. Conclusion: A range of risk factors, identifiable shortly after injury, are associated with psychological morbidity occurring up to 12 months post-injury in a general trauma population. Further research is required to explore the utility of these, and other risk factors in predicting psychological morbidity on an individual patient basis.

Background: The benefits of work for physical, psychological and financial wellbeing are well documented. Return to work (RTW) after unintentional injury is often delayed, and psychological morbidity may contribute to this delay. The impact of psychological morbidity on RTW after a wide range of unintentional injuries in the UK has not been adequately quantified. Aims: To quantify the role of psychological factors including anxiety, depression and post-traumatic distress on RTW following unintentional injuries. Design and Setting: Longitudinal multi-centre prospective study in Nottingham, Bristol, Leicester and Guildford, UK Method: Participants (n=273) were 16-69 year olds admitted to hospital following unintentional injury and, in paid employment prior to injury. They were surveyed at baseline, 1, 2, 4 and 12 months following injury on demographic and injury characteristics, psychological morbidity and RTW status. Associations between demographic, injury and psychological factors and RTW status were quantified using random effects logistic regression. Results: The odds of RTW reduced as depression scores one month post-injury increased (OR 0.87, 95%CI 0.79, 0.95) and as length of hospital stay increased (OR 0.91, 95%CI 0.86, 0.96). Those experiencing threatening life events following injury (OR 0.27, 95%CI 0.10, 0.72) and with higher scores on the crisis social support scale (OR 0.93, 95%CI 0.88, 0.99) had a lower odds of RTW. Multiple imputation analysis found similar results except crisis social support did not remain significant. Conclusion: Primary care professionals can identify patients at risk of delayed RTW who may benefit from management of psychological morbidity and support to RTW.

Purpose Unintentional injuries have a significant long-term health impact in working age adults. Depression, anxiety and post-traumatic stress disorder are common post-injury, but their impact on self-reported recovery has not been investigated in general injury populations. This study investigated the role of psychological predictors 1 month post-injury in subsequent self-reported recovery from injury in working-aged adults. Methods A multicentre cohort study was conducted of 668 unintentionally injured adults admitted to five UK hospitals followed up at 1, 2, 4 and 12 months post-injury. Logistic regression explored relationships between psychological morbidity 1 month post-injury and self-reported recovery 12 months post-injury, adjusting for health, demographic, injury and socio-legal factors. Multiple imputations were used to impute missing values. Results A total of 668 adults participated at baseline, 77% followed up at 1 month and 63% at 12 months, of whom 383 (57%) were included in the main analysis. Multiple imputation analysis included all 668 participants. Increasing levels of depression scores and increasing levels of pain at 1 month and an increasing number of nights in hospital were associated with significantly reduced odds of recovery at 12 months, adjusting for age, sex, centre, employment and deprivation. The findings were similar in the multiple imputation analysis, except that pain had borderline statistical significance. Conclusions Depression 1 month post-injury is an important predictor of recovery, but other factors, especially pain and nights spent in hospital, also predict recovery. Identifying and managing depression and providing adequate pain control are essential in clinical care post-injury.

Purpose: To demonstrate the impact of psychological morbidity one month post-injury on subsequent post-injury quality of life (HRQoL) in a general injury population in the UK to inform development of trauma care and rehabilitation services. Methods: Multicentre cohort study of 16-70 year olds admitted to 4 UK hospitals following injury. Psychological morbidity and HRQoL (EQ-5D-3L) were measured at recruitment and one, two, four and 12 months post-injury. A reduction in EQ-5D compared to retrospectively assessed pre-injury levels of at least 0.074 was taken as the minimal important difference (MID). Multilevel logistic regression explored relationships between psychological morbidity one month post-injury and MID in HRQoL over the 12 months after injury. Results: 668 adults participated. Follow-up rates were 77% (1 month) and 63% (12 months). Substantial reductions in HRQoL were seen; 93% reported a MID at one month and 58% at 12 months. Problems with pain, mobility and usual activities were commonly reported at each time point. Depression and anxiety scores one month post-injury were independently associated with subsequent MID in HRQoL. The relationship between depression and HRQoL was partly explained by anxiety and to a lesser extent by pain and social functioning. The relationship between anxiety and HRQoL was not explained by factors measured in our study. Conclusions: Hospitalised injuries result in substantial reductions in HRQoL up to 12 months later. Depression and anxiety early in the recovery period are independently associated with lower HRQoL. Identifying and managing these problems, ensuring adequate pain control and facilitating social functioning are key elements in improving HRQoL post-injury.

Objective: To quantify psychological morbidity and identify baseline factors associated with depression, anxiety and post-traumatic distress symptoms up to 12 months post-injury. Methods: Multicentre cohort study of 668 adults, aged 16 to 70, admitted to 4 UK NHS hospital trusts. Data on injury, socio-demographic characteristics and health status was collected at recruitment. Depression, anxiety and post-traumatic distress were measured at 1, 2, 4 and 12 months post-injury. Multilevel linear regression assessed associations between patient and injury characteristics and psychological outcomes over 12 months follow-up. Results: Depression, anxiety and post-traumatic distress scores were highest 1 month post-injury, and remained above baseline at 2, 4 and 12 months post-injury. Moderate or severe injuries, previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age (45-64 years), greater deprivation and lower pre-injury quality of life (QoL) were associated with higher depression scores post-injury. Previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age, greater deprivation and lower pre-injury QoL were associated with higher anxiety scores post-injury. Traffic injuries or injuries from being struck by objects, multiple injures (≥ 3), being female, previous psychiatric diagnoses, higher pre-injury anxiety scores and greater deprivation were associated with higher post-traumatic distress scores post-injury. Conclusion: A range of risk factors, identifiable shortly after injury, are associated with psychological morbidity occurring up to 12 months post-injury in a general trauma population. Further research is required to explore the utility of these, and other risk factors in predicting psychological morbidity on an individual patient basis.

Background: In the UK, studies suggest that the transition from hospital to home after an injury can be a difficult time and many patients report feeling inadequately prepared. Patients often use primary care services after hospital discharge. These consultations provide opportunities to consider problems that patients experience and to facilitate recovery. Little is known, however, about how patients and service providers view care after hospital discharge and the role played by primary care services, specifically GPs. Aim: To identify good practice and unmet needs in respect of post-discharge support for injured patients. Design and setting: Qualitative study using semi-structured interviews at four sites (Bristol, Leicester/Loughborough, Nottingham, and Surrey). Method: Qualitative interviews with 40 service providers and 45 hospitalised injured patients. Results: Although there were examples of well-managed hospital discharges, many patients felt they were not provided with the information they needed about their injury, what to expect in terms of recovery, pain control, return to work, psychological problems, and services to help meet their needs. They also described difficulty accessing services such as physiotherapy or counselling. Service providers identified problems with communication between secondary and primary care, lack of access to physiotherapy, poor communication about other services that may help patients, GP service and resource constraints, and difficulties in providing information to patients concerning likely prognosis. Conclusion: Discharge from hospital after an injury can be problematic for patients. Changes in both secondary and primary care are required to resolve this problem.

Background: The benefits of work for physical, psychological and financial wellbeing are well documented. Return to work (RTW) after unintentional injury is often delayed, and psychological morbidity may contribute to this delay. The impact of psychological morbidity on RTW after a wide range of unintentional injuries in the UK has not been adequately quantified. Aims: To quantify the role of psychological factors including anxiety, depression and post-traumatic distress on RTW following unintentional injuries. Design and Setting: Longitudinal multi-centre prospective study in Nottingham, Bristol, Leicester and Guildford, UK Method: Participants (n=273) were 16-69 year olds admitted to hospital following unintentional injury and, in paid employment prior to injury. They were surveyed at baseline, 1, 2, 4 and 12 months following injury on demographic and injury characteristics, psychological morbidity and RTW status. Associations between demographic, injury and psychological factors and RTW status were quantified using random effects logistic regression. Results: The odds of RTW reduced as depression scores one month post-injury increased (OR 0.87, 95%CI 0.79, 0.95) and as length of hospital stay increased (OR 0.91, 95%CI 0.86, 0.96). Those experiencing threatening life events following injury (OR 0.27, 95%CI 0.10, 0.72) and with higher scores on the crisis social support scale (OR 0.93, 95%CI 0.88, 0.99) had a lower odds of RTW. Multiple imputation analysis found similar results except crisis social support did not remain significant. Conclusion: Primary care professionals can identify patients at risk of delayed RTW who may benefit from management of psychological morbidity and support to RTW.

Purpose Unintentional injuries have a significant long-term health impact in working age adults. Depression, anxiety and post-traumatic stress disorder are common post-injury, but their impact on self-reported recovery has not been investigated in general injury populations. This study investigated the role of psychological predictors 1 month post-injury in subsequent self-reported recovery from injury in working-aged adults. Methods A multicentre cohort study was conducted of 668 unintentionally injured adults admitted to five UK hospitals followed up at 1, 2, 4 and 12 months post-injury. Logistic regression explored relationships between psychological morbidity 1 month post-injury and self-reported recovery 12 months post-injury, adjusting for health, demographic, injury and socio-legal factors. Multiple imputations were used to impute missing values. Results A total of 668 adults participated at baseline, 77% followed up at 1 month and 63% at 12 months, of whom 383 (57%) were included in the main analysis. Multiple imputation analysis included all 668 participants. Increasing levels of depression scores and increasing levels of pain at 1 month and an increasing number of nights in hospital were associated with significantly reduced odds of recovery at 12 months, adjusting for age, sex, centre, employment and deprivation. The findings were similar in the multiple imputation analysis, except that pain had borderline statistical significance. Conclusions Depression 1 month post-injury is an important predictor of recovery, but other factors, especially pain and nights spent in hospital, also predict recovery. Identifying and managing depression and providing adequate pain control are essential in clinical care post-injury.

Purpose: To demonstrate the impact of psychological morbidity one month post-injury on subsequent post-injury quality of life (HRQoL) in a general injury population in the UK to inform development of trauma care and rehabilitation services. Methods: Multicentre cohort study of 16-70 year olds admitted to 4 UK hospitals following injury. Psychological morbidity and HRQoL (EQ-5D-3L) were measured at recruitment and one, two, four and 12 months post-injury. A reduction in EQ-5D compared to retrospectively assessed pre-injury levels of at least 0.074 was taken as the minimal important difference (MID). Multilevel logistic regression explored relationships between psychological morbidity one month post-injury and MID in HRQoL over the 12 months after injury. Results: 668 adults participated. Follow-up rates were 77% (1 month) and 63% (12 months). Substantial reductions in HRQoL were seen; 93% reported a MID at one month and 58% at 12 months. Problems with pain, mobility and usual activities were commonly reported at each time point. Depression and anxiety scores one month post-injury were independently associated with subsequent MID in HRQoL. The relationship between depression and HRQoL was partly explained by anxiety and to a lesser extent by pain and social functioning. The relationship between anxiety and HRQoL was not explained by factors measured in our study. Conclusions: Hospitalised injuries result in substantial reductions in HRQoL up to 12 months later. Depression and anxiety early in the recovery period are independently associated with lower HRQoL. Identifying and managing these problems, ensuring adequate pain control and facilitating social functioning are key elements in improving HRQoL post-injury.

Background: In the UK, studies suggest that the transition from hospital to home after an injury can be a difficult time and many patients report feeling inadequately prepared. Patients often use primary care services after hospital discharge. These consultations provide opportunities to consider problems that patients experience and to facilitate recovery. Little is known, however, about how patients and service providers view care after hospital discharge and the role played by primary care services, specifically GPs. Aim: To identify good practice and unmet needs in respect of post-discharge support for injured patients. Design and setting: Qualitative study using semi-structured interviews at four sites (Bristol, Leicester/Loughborough, Nottingham, and Surrey). Method: Qualitative interviews with 40 service providers and 45 hospitalised injured patients. Results: Although there were examples of well-managed hospital discharges, many patients felt they were not provided with the information they needed about their injury, what to expect in terms of recovery, pain control, return to work, psychological problems, and services to help meet their needs. They also described difficulty accessing services such as physiotherapy or counselling. Service providers identified problems with communication between secondary and primary care, lack of access to physiotherapy, poor communication about other services that may help patients, GP service and resource constraints, and difficulties in providing information to patients concerning likely prognosis. Conclusion: Discharge from hospital after an injury can be problematic for patients. Changes in both secondary and primary care are required to resolve this problem.