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Abstract Background Fractures of the proximal humerus are common and most often treated non-operatively. However, long-term follow-up studies focusing on functional results and quality of life in patients after this type of fracture are scarce. The primary aim of this study is to report the long-term functional and quality of life outcome in patients with a proximal humeral fracture. Materials and methods A retrospective analysis of all consecutive patients undergoing non-operative treatment for a proximal humeral fracture in a level 2 trauma centre between January 2000 and December 2013 was performed. A database consisting of all relevant demographic, patient and fracture characteristics was created. Subsequently, a questionnaire containing the DASH (Disabilities of the Arm, Shoulder and Hand) score, EuroQol-5D (EQ-5D), VAS (visual analogue scale) score, and subjective questions was sent to all patients. Results A total of 410 patients (65 male, 345 female) were included for analyses. Average follow-up was 90 ± 48 months. DASH-scores

BACKGROUND:Well-advised priority setting in prevention and treatment of injuries relies on detailed insight into costs of injury. This study aimed to provide a detailed overview of medical and productivity costs due to injury up to two years post-injury and compare these costs across subgroups for injury severity and age. METHODS:A prospective longitudinal cohort study followed all adult (≥18 years) injury patients admitted to a hospital in Noord-Brabant, the Netherlands. Patients filled out questionnaires 1 week, 1, 3, 6, 12 and 24 months after trauma, including items on health care consumption from the medical consumption questionnaire (iMCQ) and productivity loss from the productivity cost questionnaire (PCQ). Furthermore, injury severity was defined by Injury Severity Score (ISS). Data on diagnostics was retrieved from hospital registries. We calculated medical costs, consisting of in-hospital costs and post-hospital medical costs, and productivity costs due to injury up to two years post-injury. RESULTS:Approximately 50% (N = 4883) of registered patients provided informed consent, and 3785 filled out at least one questionnaire. In total, the average costs per patient were €12,190. In-hospital costs, post-hospital medical costs and productivity costs contributed €4810, €5110 and €5830, respectively. Total costs per patient increased with injury severity, from €7030 in ISS1-3 to €23,750 in ISS16+ and were lowest for age category 18-24y (€7980), highest for age category 85 years and over (€15,580), and fluctuated over age groups in between. CONCLUSION:Both medical costs and productivity costs generally increased with injury severity. Furthermore, productivity costs were found to be a large component of total costs of injury in ISS1-8 and are therefore a potentially interesting area with regard to reducing costs.

Introduction: A hip fracture can be experienced as a traumatic event that can induce psychological distress. The aim of this study is to give more insight into the prevalence of symptoms of psychological distress in older patients following the first year after a hip fracture. In addition, prognostic factors were determined for psychological distress after hip fracture., Materials and Methods: This hip fracture cohort data was derived from the Brabant Injury Outcome Surveillance, a multicenter longitudinal prospective cohort study. Hip fracture patients (≥65years) admitted to a hospital between August 2015 and November 2016 were asked to complete a questionnaire at 1 week, and 1, 3, 6 and 12 months. The Hospital Anxiety and Depression Scale (HADS) was used to assess symptoms of anxiety and depression and the Impact of Event Scale (IES) was used to assess symptoms of posttraumatic stress (PTS). Prognostic factors were assessed with multivariable logistic mixed models., Results: In total 570 patients (inclusion rate: 69.7%) were included. The prevalence of psychological distress ranged from 36% at 1 week to 31% at 1 year after hip fracture. Frailty at onset of hip fracture was the most important prognostic factor of symptoms of depression (Odds ratio (OR), 2.74; 95% Confidence interval (CI) 1.41 to 5.34) and anxiety (OR, 2.60; 95% CI 1.15 to 5.85) on average in the year following hip fracture. Frailty was not a prognostic factor of symptoms of PTS (OR, 1.97; 95% CI 0.42 to 9.23)., Conclusions: The prevalence of psychological distress is high in the first year after a hip fracture. Frailty at onset of a hip fracture is the most important prognostic factor of symptoms of depression and anxiety. These findings have important implications for strategies with early identification of frail patients with a hip fracture at high risk of psychological distress., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Objective: To describe the prevalence and prognostic factors of symptoms of anxiety and depression and posttraumatic stress symptoms (PTSS) after injury in the clinical trauma population., Design: Multicenter, prospective, observational cohort study., Setting: Ten hospitals in Noord-Brabant, The Netherlands., Participants: Four thousand two hundred thirty-nine adult patients (N=4239) admitted due to injury between August 2015 and December 2016., Interventions: Patients were asked to complete a questionnaire at 1 week and at 1, 3, 6, and 12 months after injury., Main Outcome Measures: The Hospital Anxiety and Depression Scale was used to assess anxiety and depressive symptoms and the Impact of Event Scale was used to assess PTSS., Results: The prevalence of symptoms of anxiety and depression decreased from 10% and 12%, respectively, at 1 week after injury to 7% and 7% at 12 months after injury. Acute traumatic stress symptoms were present in 13% at 1 week and PTSS was prevalent in 10% of the participants at 12 months after injury. Strong prognostic factors for poor psychological outcome in multivariable logistic mixed models were preinjury frailty, psychological complaints and nonworking status preinjury, female sex, low educational level, and accident category (ie, traffic accident, work-related accident, or accidents at home compared to sport injuries)., Conclusions: Psychological distress is a common health problem during the first year after injury. Important prognostic factors for psychological distress include psychological complaints before injury and frailty. Early recognition of psychological problems after injury could facilitate discussion between caregivers and patients and improve recovery., (Copyright © 2019 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Introduction: Survival after trauma has considerably improved. This warrants research on non-fatal outcome. We aimed to identify characteristics associated with both short and long-term health status (HS) after trauma and to describe the recovery patterns of HS and psychological outcomes during 24 months of follow-up., Methods: Hospitalized patients with all types of injuries were included. Data were collected at 1 week 1, 3, 6, 12, and 24 months post-trauma. HS was assessed with the EuroQol-5D-3L (EQ-5D-3L) and the Health Utilities Index Mark 2 and 3 (HUI2/3). For the screening of symptoms of post-traumatic stress, anxiety and depression, the Impact of Event Scale (IES) and the Hospital Anxiety and Depression Scale (HADS) subscale anxiety (HADSA) and subscale depression (HADSD) were used. Recovery patterns of HS and psychological outcomes were examined with linear mixed model analyses., Results: A total of 4,883 patients participated (median age 68 (Interquartile range 53-80); 50% response rate). The mean (Standard Deviation (SD)) pre-injury EQ-5D-3L score was 0.85 (0.23). One week post-trauma, mean (SD) EQ-5D-3L, HUI2 and HUI3 scores were 0.49 (0.32), 0.61 (0.22) and 0.38 (0.31), respectively. These scores significantly improved to 0.77 (0.26), 0.77 (0.21) and 0.62 (0.35), respectively, at 24 months. Most recovery occurred up until 3 months. At long-term follow-up, patients of higher age, with comorbidities, longer hospital stay, lower extremity fracture and spine injury showed lower HS. The mean (SD) scores of the IES, HADSA and HADSD were respectively 14.80 (15.80), 4.92 (3.98) and 5.00 (4.28), respectively, at 1 week post-trauma and slightly improved over 24 months post-trauma to 10.35 (14.72), 4.31 (3.76) and 3.62 (3.87), respectively., Discussion: HS and psychological symptoms improved over time and most improvements occurred within 3 months post-trauma. The effects of severity and type of injury faded out over time. Patients frequently reported symptoms of post-traumatic stress., Trial Registration: ClinicalTrials.gov identifier: NCT02508675., Competing Interests: The authors have declared that no competing interests exist.

Background: Well-advised priority setting in prevention and treatment of injuries relies on detailed insight into costs of injury. This study aimed to provide a detailed overview of medical and productivity costs due to injury up to two years post-injury and compare these costs across subgroups for injury severity and age., Methods: A prospective longitudinal cohort study followed all adult (≥18 years) injury patients admitted to a hospital in Noord-Brabant, the Netherlands. Patients filled out questionnaires 1 week, 1, 3, 6, 12 and 24 months after trauma, including items on health care consumption from the medical consumption questionnaire (iMCQ) and productivity loss from the productivity cost questionnaire (PCQ). Furthermore, injury severity was defined by Injury Severity Score (ISS). Data on diagnostics was retrieved from hospital registries. We calculated medical costs, consisting of in-hospital costs and post-hospital medical costs, and productivity costs due to injury up to two years post-injury., Results: Approximately 50% (N = 4883) of registered patients provided informed consent, and 3785 filled out at least one questionnaire. In total, the average costs per patient were €12,190. In-hospital costs, post-hospital medical costs and productivity costs contributed €4810, €5110 and €5830, respectively. Total costs per patient increased with injury severity, from €7030 in ISS1-3 to €23,750 in ISS16+ and were lowest for age category 18-24y (€7980), highest for age category 85 years and over (€15,580), and fluctuated over age groups in between., Conclusion: Both medical costs and productivity costs generally increased with injury severity. Furthermore, productivity costs were found to be a large component of total costs of injury in ISS1-8 and are therefore a potentially interesting area with regard to reducing costs., Competing Interests: The authors have declared that no competing interests exist.

Objectives: The aims of this study were to examine the pattern of changes over time in health status (HS) and quality of life (QoL) in the first year after hip fracture and to quantify the association between frailty at the onset of hip fracture and the change in HS and QoL 1 year later. The major hypothesis was that frailty, a clinical state of increased vulnerability, is a good predictor of QoL in patients recovering from hip fracture., Design: Prospective, observational, follow-up cohort study., Setting: Secondary care. Ten participating centres in Brabant, the Netherlands., Participants: 1091 patients entered the study and 696 patients completed the study. Patients with a hip fracture aged 65 years and older or proxy respondents for patients with cognitive impairment were included in this study., Main Outcome Measures: The primary outcomes were HS (EuroQol-5 Dimensions questionnaire) and capability well-being (ICEpop CAPability measure for Older people). Prefracture frailty was defined with the Groningen Frailty Indicator (GFI), with GFI ≥4 indicating frailty. Participants were followed up at 1 month, 3 months, 6 months and 1 year after hospital admission., Results: In total, 371 patients (53.3%) were considered frail. Frailty was negatively associated with HS (β -0.333; 95% CI -0.366 to -0.299), self-rated health (β -21.9; 95% CI -24.2 to -19.6) and capability well-being (β -0.296; 95% CI -0.322 to -0.270) in elderly patients 1 year after hip fracture. After adjusting for confounders, including death, prefracture HS, age, prefracture residential status, prefracture mobility, American Society of Anesthesiologists grading and dementia, associations were weakened but remained significant., Conclusions: We revealed that frailty is negatively associated with QoL 1 year after hip fracture, even after adjusting for confounders. This finding suggests that early identification of prefracture frailty in patients with a hip fracture is important for prognostic counselling, care planning and the tailoring of treatment., Trial Registration Number: NCT02508675., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Although mortality rates following major trauma are continuing to decline, a growing number of patients are experiencing long-term disability. The aim of this study was to identify factors associated with health status in the first year following trauma and develop prediction models based on a defined trauma population., Methods: The Brabant Injury Outcome Surveillance (BIOS) study was a multicentre prospective observational cohort study. Adult patients with traumatic injury were included from August 2015 to November 2016 if admitted to one of the hospitals of the Noord-Brabant region in the Netherlands. Outcome measures were EuroQol Five Dimensions 5D-3L (EQ-5D™ utility and visual analogue scale (VAS)) and Health Utilities Index (HUI) 2 and 3 scores 1 week and 1, 3, 6 and 12 months after injury. Prediction models were developed using linear mixed models, with patient characteristics, preinjury health status, injury severity and frailty as possible predictors. Predictors that were significant (P < 0·050) for one of the outcome measures were included in all models. Performance was assessed using explained variance (R 2 )., Results: In total, 4883 patients participated in the BIOS study (50·0 per cent of the total), of whom 3366 completed the preinjury questionnaires. Preinjury health status and frailty were the strongest predictors of health status during follow-up. Age, sex, educational level, severe head or face injury, severe torso injury, injury severity, Functional Capacity Index score, co-morbidity and duration of hospital stay were also relevant in the multivariable models predicting health status. R 2 ranged from 35 per cent for EQ-VAS to 48 per cent for HUI 3., Conclusion: The most important predictors of health status in the first year after trauma in this population appeared to be preinjury health status and frailty., (© 2019 BJS Society Ltd. Published by John Wiley & Sons Ltd.)

Purpose: Significant differences exist between retrospectively collected pre-injury Health Status (HS) of trauma patients and the HS of the general population. Compared to the general population, the trauma population includes a larger proportion of individuals with a low level of socio-economic status. The aim was to compare retrospectively collected pre-injury HS with HS of a sample of Dutch individuals not only adjusted for age and gender, but also for educational level., Methods: Within three months post-trauma, pre-injury HS (n = 2987) was collected by using the EuroQol-five-dimension-3-level (EQ-5D-3L) questionnaire. Data were abstracted from the Brabant Injury Outcome Surveillance. The reference cohort (n = 1839) included a sample of the Dutch general population. Multiple regression was used to compare HS of both cohorts., Results: A higher recalled pre-injury EQ-5D-3L score of the injury cohort was reported compared to the HS of the reference cohort after adjustment for age (β = 0.014 [95% CI: 0.001,0.027] for males and β = 0.018 [95% CI: -0.001, 0.036] for females). After adjustment for age and educational level, the Beta showed a ≥10% increasement: males; unadjusted β = 0.006 [95% CI: -0.007, 0.019] to β = 0.014 [95% CI: 0.001, 0.027] after age adjustment to β = 0.020 [95% CI: 0.007, 0.033] after adjustment for age and educational level, females; unadjusted β = -0.018 [95% CI: -0.035, -0.001] to β = 0.018 [95% CI: -0.001, 0.036] after age adjustments to β = 0.025 [95% CI: 0.007, 0.043] after adjustments for age and educational level. After adjustment for age, gender and educational level, the injury cohort reported prior to the trauma less problems on the 'pain/discomfort' (OR = 0.522 [95% CI: 0.454, 0.602]) and the 'anxiety/depression' (OR = 0.745 [95% CI: 0.619, 0.897]) dimensions, as compared to the reference cohort. In contrast, the injury cohort reported significantly more problems on the 'self-care' dimension (OR = 1.497 [95% CI: 0.1.112, 2.016]) prior to the trauma., Conclusions: Injured patients report better recalled pre-injury HS compared to the HS of the reference cohort. After adjustment for educational level, the difference in HS between the injury cohort and the reference cohort increases, underlining that other confounders might also influence HS., (Copyright © 2019. Published by Elsevier Ltd.)

Ranavirus is the second most common infectious cause of amphibian mortality. These viruses affect caudates, an order in which information regarding Ranavirus pathogenesis is scarce. In the Netherlands, two strains (CMTV-NL I and III) were suspected to possess distinct pathogenicity based on field data. To investigate susceptibility and disease progression in urodeles and determine differences in pathogenicity between strains, 45 adult smooth newts (Lissotriton vulgaris) were challenged via bath exposure with these ranaviruses and their detection in organs and feces followed over time by PCR, immunohistochemistry and in situ hybridization. Ranavirus was first detected at 3 days post infection (p.i.) in the oral cavity and upper respiratory mucosa. At 6 days p.i, virus was found in connective tissues and vasculature of the gastrointestinal tract. Finally, from 9 days p.i onwards there was widespread Ranavirus disease in various organs including skin, kidneys and gonads. Higher pathogenicity of the CMTV-NL I strain was confirmed by higher correlation coefficient of experimental group and mortality of challenged animals. Ranavirus-exposed smooth newts shed virus in feces intermittently and infection was seen in the absence of lesions or clinical signs, indicating that this species can harbor subclinical infections and potentially serve as disease reservoirs.

Introduction: While the number of trauma patients surviving their injury increase, it is important to measure Quality of Life (QoL). The Abbreviated World Health Organization Quality of Life (WHOQOL-BREF) questionnaire can be used to assess QoL. However, its psychometric properties in trauma patients are unknown and therefore, we aimed to investigate the validity and reliability of the WHOQOL-BREF for the hospitalized trauma population., Methods: Data were derived from the Brabant Injury Outcome Surveillance. Floor and ceiling effects and missing values of the WHOQOL-BREF were examined. Confirmatory factor analysis (CFA) was performed to examine the underlying 4 dimensions (i.e. physical, psychological, social and environmental) of the questionnaire. Cronbach's alpha (CA) was calculated to determine internal consistency. In total, 42 hypotheses were formulated to determine construct validity and 6 hypotheses were created to determine discriminant validity. To determine construct validity, Spearman's correlations were calculated between the WHOQOL-BREF and the EuroQol-five-dimension-3-level questionnaire, the Health Utility Index Mark 2 and 3, the Hospital Anxiety and Depression Scale and the Impact of Event Scale. Discriminant validity between patients with minor injuries (i.e. Injury Severity Score (ISS)≤8) and moderate/severe injuries (i.e. ISS ≥ 9) was examined by conducting Mann-Whitney-U-tests., Results: In total, 202 patients (median 63y) participated in this study with a median of 32 days (interquartile range 29-37) post-trauma. The WHOQOL-BREF showed no problematic floor and ceiling effects. The CFA revealed a moderate model fit. The domains showed good internal consistency, with the exception of the social domain. All individual items and domain scores of the WHOQOL-BREF showed nearly symmetrical distributions since mean scores were close to median scores, except of the 'general health' item. The highest percentage of missing values was found on the 'sexual activity' item (i.e. 19.3%). The WHOQOL-BREF showed moderate construct and discriminant validity since in both cases, 67% of the hypotheses were confirmed., Conclusion: The present study provides support for using the WHOQOL-BREF for the hospitalized trauma population since the questionnaire appears to be valid and reliable. The WHOQOL-BREF can be used to assess QoL in a heterogeneous group of hospitalized trauma patients accurately., Trail Registration: ClinicalTrials.gov identifier: NCT02508675., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Quality of life (QoL) following a physical trauma is still insufficiently known from a patient perspective. The aim of this study was to qualitatively report perceived changes in QoL after trauma. Focus groups were conducted. Patients admitted to the hospital were eligible for inclusion if they had a lower extremity trauma, severe injuries, or severe traumatic brain injury (TBI). Patients 75 years or older were invited. To analyze the perceived changes in QoL, open coding was used. Patients (n = 20, M = 55 years) reported comparable consequences. In the first month posttrauma, physical limitations, independency, pain, and anxiety predominated. Later, patients experienced problems with acceptance. The patients' feelings of the need to have control over their own situation, their own expectations, and a social network were related to QoL. Compared with the other patient groups, TBI patients reported more psychosocial consequences, and elderly patients reported more difficulties in performing (social) activities. Quality of health care was considered an important aspect in the patients' perceived QoL, and adequate aftercare was missed according to the patients. The impact of a trauma influences QoL in different health domains. Further improving the quality of aftercare may positively influence trauma patients' perceived QoL. These results indicated that TBI patients and elderly patients deserve specific attention regarding QoL.

Ranaviruses are pathogenic viruses for poikilothermic vertebrates worldwide. The identification of a common midwife toad virus (CMTV) associated with massive die-offs in water frogs (Pelophylax spp.) in the Netherlands has increased awareness for emerging viruses in amphibians in the country. Complete genome sequencing of 13 ranavirus isolates collected from ten different sites in the period 2011-2016 revealed three CMTV groups present in distinct geographical areas in the Netherlands. Phylogenetic analysis showed that emerging viruses from the northern part of the Netherlands belonged to CMTV-NL group I. Group II and III viruses were derived from the animals located in the center-east and south of the country, and shared a more recent common ancestor to CMTV-amphibian associated ranaviruses reported in China, Italy, Denmark, and Switzerland. Field monitoring revealed differences in water frog host abundance at sites where distinct ranavirus groups occur; with ranavirus-associated deaths, host counts decreasing progressively, and few juveniles found in the north where CMTV-NL group I occurs but not in the south with CMTV-NL group III. Investigation of tandem repeats of coding genes gave no conclusive information about phylo-geographical clustering, while genetic analysis of the genomes revealed truncations in 17 genes across CMTV-NL groups II and III compared to group I. Further studies are needed to elucidate the contribution of these genes as well as environmental variables to explain the observed differences in host abundance.

Background: Over the past decades, the number of survivors of injuries has rapidly grown. It has become important to focus more on the determinants of non-fatal outcome. Although socio-economic status (SES) is considered to be a fundamental determinant of health in general, the role of SES as a determinant of non-fatal outcome after injury is largely unknown., Methods: An online search was conducted in November 2015 using Embase, Medline, Web of Science, Cinahl, Cochrane, Google scholar and PubMed. Studies examining the relation between SES and a physical or psychological outcome measure, or using SES as a confounder in a general trauma population were included. There were no restrictions regarding study design. The 'Quality in Prognostic Studies tool' was used to assess the methodological quality of the included studies., Results: The 24 included studies showed large variations in methodological quality. The number of participants ranged from 56 to 4639, and assessments of the measures ranged from immediately to 6year post-injury. Studies used a large number of variables as indicators of SES. Participant's educational level was used most frequently. The majority of the studies used a multivariable technique to analyse the relation between SES and non-fatal outcome after injury. All studies found a positive association (80% of studies significant, n=19) between increased SES and better non-fatal outcome after injury., Conclusion: Although an adequate and valid measure of SES is lacking, the results of this review showed that SES is an important determinant of non-fatal outcome after injury. Future research should focus on the definition and measurement of SES and should further underpin the effect of SES on non-fatal outcome after injury., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Introduction: Trauma is a major public health problem worldwide that leads to high medical and societal costs. Overall, improved understanding of the full spectrum of the societal impact and burden of injury is needed. The main purpose of the Brabant Injury Outcome Surveillance (BIOS) study is to provide insight into prevalence, predictors and recovery patterns of short-term and long-term health-related quality of life (HRQoL) and costs after injury., Materials and Methods: This is a prospective, observational, follow-up cohort study in which HRQoL, psychological, social and functional outcome, and costs after trauma will be assessed during 24 months follow-up within injured patients admitted in 1 of 10 hospitals in the county Noord-Brabant, the Netherlands. Data will be collected by self-reported questionnaires at 1 week (including preinjury assessment), and 1, 3, 6, 12 and 24 months after injury. If patients are not capable of filling out the questionnaires, proxies will be asked to participate. Also, information about mechanism and severity of injury, comorbidity and indirect and direct costs will be collected. Mixed models will be used to examine the course of HRQoL, functional and psychological outcome, costs over time and between different groups, and to identify predictors for poor or good outcome., Relevance: This study should make a substantial contribution to the international collaborative effort to assess the societal impact and burden of injuries more accurately. The BIOS results will also be used to develop an outcome prediction model for outcome evaluation including, besides the classic fatal, non-fatal outcome., Trial Registration Number: NCT02508675., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)

Objective: Our objective is to investigate the feasibility and validity of a new instrument to screen for determinants of poststroke fatigue during the rehabilitation process., Design and Setting: This prospective cohort study was conducted within the stroke department of a rehabilitation center., Participants: The participants in the study were postacute adult stroke patients. The Detection List Fatigue (DLF)was administered 2 weeks after the start of the rehabilitation program and again 6 weeks later., Main Outcome Measures: To determine the construct validity, the Hospital Anxiety and Depression Scale, the Checklist Individual Strength subscale fatigue, and the Fatigue Severity Scale--7-item version were administered. A fatigue rating scale was used to measure the patients' fatigue experience. Frequency analyses of the number of patients reporting poststroke fatigue determinants according to the DLF were performed., Results: One hundred seven patients (mean age 60 years) without severe communication difficulties were included in the study. The DLF was easy to understand and quick to administer. The DLF showed good internal consistency (Cronbach's alpha: .79 and .87), high convergent validity (rs = .85 and rs = .79), and good divergent validity (rs = .31 and rs = .45). The majority of the patients (88.4%-90.2%) experienced at least 2 poststroke fatigue (PSF) determinants,of which "sleeping problem" was most frequently reported., Conclusions: The DLF is a feasible and valid instrument for the screening of PSF determinants throughout the rehabilitation process in stroke patients. Future studies should investigate whether the use of the list in determining a treatment plan prevents the development of PSF.

Objective: To investigate the beneficial and adverse effects of a mental practice intervention on activities, cognition, and emotion in patients after stroke, patients with Parkinson's disease or multiple sclerosis., Methods: Electronic databases PubMed/Medline, PEDro, Science Direct, Cochrane Library, PsycINFO, Rehadat, Embase, and Picarta were searched until June 2012. Fourteen randomized controlled trials in stroke and two randomized controlled trials in Parkinson's disease were included, representing 491 patients (421 with stroke). No randomized controlled trials in multiple sclerosis were identified. The methodologic quality of the included trials was assessed with the Amsterdam-Maastricht-Consensus-List (AMCL). Information on study characteristics and outcomes was summarized and evidence for effects described. Data from individual studies in stroke with same outcome measures were pooled., Results: The included 16 randomized controlled trials were heterogeneous and methodologic quality varied. Ten trials reported significant effects in favor of mental practice in patients with stroke (n = 9) and Parkinson's disease (n = 1). In six studies mental practice had similar effects as therapy as usual (n = 5 in stroke and n = 1 in Parkinson's disease). Of six performed meta-analyses with identical measures in stroke studies only two showed significant effects of mental practice: short-term improvement of arm-hand-ability (ARAT: SMD 0.62; 95% CI: 0.05 to 1.19) and improvement of performance of activities (NRS: SMD 0.9; 95% CI: 0.04 to 1.77). Five studies found effects on cognition (e.g., effects on attention, plan actions in unfamiliar surroundings) and four reported observed side-effects, both positive (e.g., might increase motivation and arousal and reduce depression) and negative (e.g., diminished concentration, irritation)., Conclusions: Mental practice might have positive effects on performance of activities in patients with neurological diseases, but this review reports less positive results than earlier published ones. Strengths and limitations of past studies are pointed out. Methodologic recommendations for future studies are given.

Aims: To evaluate the effect of the implementation of an asthma clinical pathway on asthma in children in general practice., Methods: A randomized, controlled trial involving 270 general practitioners. One group of general practitioners implemented the asthma clinical pathway for children (intervention group) and the control group continued with their usual asthma medical care management. The main outcome measures were admissions to hospital for asthma and attendance at the Children's Emergency Department. Compliance with the guidelines was assessed by examining asthma drug prescriptions., Results: Admissions to hospital for asthma dropped 40% in the intervention group, by 33% in the control group and by 22% in general practitioners not participating in the trial. The differences between the intervention and control and between the intervention and non-participating general practitioners were not statistically significant. The decrease in attendance at the Children's Emergency Department decreased by 25%, 30% and 19%, respectively, but this was not statistically significant. There was a significant decrease in prescriptions for oral relievers, dry powder relievers in the under 6s, mast cell stabilizers and methylxanthines in both control and intervention groups. However, only for oral relievers was there a significant difference between the intervention group and control, with the decrease larger in the intervention group (p < 0.001)., Conclusions: Admissions to hospital for asthma decreased, as did attendance at the Children's Emergency Department. Prescriptions for asthma medication changed in the direction anticipated with compliance with the asthma clinical pathway. However, we found no evidence within the study that implementation of the asthma clinical pathway by general practitioners resulted in lower morbidity than those general practitioners who did not implement the pathway. Possible explanations are that these general practitioners were already providing care according to the recommendations of the pathway, or that there was contamination of the control group by the intervention, or that the guidelines, although based on currently accepted recommendations, are ineffective.