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Objectives: As clinical presentation and complications of both viruses overlap, it was hypothesised that influenza vaccination was associated with lower general practitioner (GP)-diagnosed COVID-19 rates and lower all-cause mortality rates., Study Design: From a primary care population-based cohort in the Netherlands, GP-diagnosed COVID-19 (between 10 March and 22 November 2020) and all-cause mortality events (between 30 December 2019 and 22 November 2020) were recorded. 223 580 persons were included, representing the influenza vaccination 2019 target group (all aged ≥60 years, and those <60 years with a medical indication). Proportional hazards regression analyses evaluated associations between influenza vaccination in 2019 and two outcomes: GP-diagnosed COVID-19 and all-cause mortality. Covariables were sex, age, comorbidities and number of acute respiratory infection primary care consultations in 2019., Results: A slightly positive association (HR 1.15; 95% CI 1.08 to 1.22) was found between influenza vaccination in 2019 and GP-diagnosed COVID-19, after adjusting for covariables. A slightly protective effect for all-cause mortality rates (HR 0.90; 95% CI 0.83 to 0.97) was found for influenza vaccination, after adjusting for covariables. A subgroup analysis among GP-diagnosed COVID-19 cases showed no significant association between influenza vaccination in 2019 and all-cause mortality., Conclusions: Our hypothesis of a possibly negative association between influenza vaccination in 2019 and GP-diagnosed COVID-19 was not confirmed as we found a slightly positive association. A slightly protective effect on all-cause mortality was found after influenza vaccination, possibly by a wider, overall protective effect on health. Future research designs should include test-confirmed COVID-19 cases and controls, adjustments for behavioural, socioeconomic and ethnic factors and validated cause-specific mortality cases., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.) more...

Objective: To determine the diagnostic accuracy of three tests-radial pulse palpation, an electronic blood pressure monitor and a handheld single-lead ECG device-for opportunistic screening for unknown atrial fibrillation (AF)., Design: We performed a diagnostic accuracy study in the intention-to-screen arm of a cluster randomised controlled trial aimed at opportunistic screening for AF in general practice. We performed radial pulse palpation, followed by electronic blood pressure measurement (WatchBP Home A) and handheld ECG (MyDiagnostick) in random order. If one or more index tests were positive, we performed a 12-lead ECG at shortest notice. Similarly, to limit verification bias, a random sample of patients with three negative index tests received this reference test. Additionally, we analysed the dataset using multiple imputation. We present pooled diagnostic parameters., Setting: 47 general practices participated between September 2015 and August 2018., Participants: In the electronic medical record system of the participating general practices (n=47), we randomly marked 200 patients of ≥65 years without AF. When they visited the practice for any reason, we invited them to participate. Exclusion criteria were terminal illness, inability to give informed consent or visit the practice or having a pacemaker or an implantable cardioverter-defibrillator., Outcomes: Diagnostic accuracy of individual tests and test combinations to detect unknown AF., Results: We included 4339 patients; 0.8% showed new AF. Sensitivity and specificity were 62.8% (range 43.1%-69.7%) and 91.8% (91.7%-91.8%) for radial pulse palpation, 70.0% (49.0%-80.6%) and 96.5% (96.3%-96.7%) for electronic blood pressure measurement and 90.1% (60.8%-100%) and 97.9% (97.8%-97.9%) for handheld ECG, respectively. Positive predictive values were 5.8% (5.3%-6.1%), 13.8% (12.2%-14.8%) and 25.2% (24.2%-25.8%), respectively. All negative predictive values were ≥99.7%., Conclusion: In detecting AF, electronic blood pressure measurement (WatchBP Home A), but especially handheld ECG (MyDiagnostick) showed better diagnostic accuracy than radial pulse palpation., Trial Registration Number: Netherlands Trial Register No. NL4776 (old NTR4914)., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.) more...

Objectives: Interhospital transports of critically ill patients are high-risk medical interventions. Well-established parameters to quantify the quality of transports are currently lacking. We aimed to develop and cross-validate a score for interhospital transports., Setting: An expert panel developed a score for interhospital transport by a Mobile Intensive Care Unit (MICU), the QUality of Interhospital Transportation in the Euregion Meuse-Rhine (QUIT-EMR) score. The QUIT-EMR score is an overall sum score that includes component scores of monitoring and intervention variables of the neurological (proxy for airway patency), respiratory and circulatory organ systems, ranging from -12 to +12. A score of 0 or higher defines an adequate transport. The QUIT-EMR score was tested to help to quantify the quality of transport., Participants: One hundred adult patients were randomly included and the transport charts were independently reviewed and classified as adequate or inadequate by four transport experts (ie, anaesthetists/intensivists)., Outcome Measures: Subsequently, the level of agreement between the QUIT-EMR score and expert classification was calculated using Gwet's AC 1 ., Results: From April 2012 to May 2014, a total of 100 MICU transports were studied. The median (IQR) QUIT-EMR score was 1 (0-2). Experts classified six transports as inadequate. The percentage agreement between the QUIT-EMR score and experts' classification for adequate/inadequate transport ranged from 84% to 92% (Gwet's AC 1 0.81-0.91). The interobserver agreement between experts was 87% to 94% (Gwet's AC 1 0.89-0.98)., Conclusion: The QUIT-EMR score is a novel validated tool to score MICU transportation adequacy in future studies contributing to quality control and improvement., Trial Registration Number: NTR 4937., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.) more...

Objectives: To develop (part I) and validate (part II) an electronic fall risk clinical rule (CR) to identify nursing home residents (NH-residents) at risk for a fall incident., Design: Observational, retrospective case-control study., Setting: Nursing homes., Participants: A total of 1668 (824 in part I, 844 in part II) NH-residents from the Netherlands were included. Data of participants from part I were excluded in part II., Primary and Secondary Outcome Measures: Development and validation of a fall risk CR in NH-residents. Logistic regression analysis was conducted to identify the fall risk-variables in part I. With these, three CRs were developed (ie, at the day of the fall incident and 3 days and 5 days prior to the fall incident). The overall prediction quality of the CRs were assessed using the area under the receiver operating characteristics (AUROC), and a cut-off value was determined for the predicted risk ensuring a sensitivity ≥0.85. Finally, one CR was chosen and validated in part II using a new retrospective data set., Results: Eleven fall risk-variables were identified in part I. The AUROCs of the three CRs form part I were similar: the AUROC for models I, II and III were 0.714 (95% CI: 0.679 to 0.748), 0.715 (95% CI: 0.680 to 0.750) and 0.709 (95% CI: 0.674 to 0.744), respectively. Model III (ie, 5 days prior to the fall incident) was chosen for validation in part II. The validated AUROC of the CR, obtained in part II, was 0.603 (95% CI: 0.565 to 0.641) with a sensitivity of 83.41% (95% CI: 79.44% to 86.76%) and a specificity of 27.25% (95% CI 23.11% to 31.81%)., Conclusion: Medication data and resident characteristics alone are not sufficient enough to develop a successful CR with a high sensitivity and specificity to predict fall risk in NH-residents., Trial Registration Number: Not available., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.) more...

Introduction: The number of people that have one or multiple condition(s) with a chronic course is rising, which consequently challenges healthcare systems. Healthcare geared to long-term care should focus on patient-centredness, shared decision making and self-management. The Assessment of Burden of Chronic Conditions (ABCC) tool was developed to integrate these elements in daily healthcare practice. The ABCC tool assesses and visualises burden of disease(s), helps to make shared decisions and stimulates self-management. The present paper documents a protocol for a quasi-experimental study investigating the effectiveness and cost-effectiveness of the ABCC tool for people with chronic obstructive pulmonary disease, asthma, type 2 diabetes mellitus and/or heart failure., Methods and Analysis: The study has a pragmatic clustered quasi-experimental design and will be conducted in the Netherlands. The intervention will be allocated at the level of general practice. The intervention group (18 general practices, 180 patients) will use the ABCC tool during regular consultations; the control group (18 general practices, 180 patients) will maintain usual care. Outcomes include change in quality of care (Patient Assessment of Chronic Illness Care), quality of life (EuroQol-5D-5L), capability well-being (ICEpop CAPability measure for Adults), patients' activation (Patient Activation Measure) and costs. Follow-up time will be 18 months. Outcomes will be analysed using linear mixed models., Ethics and Dissemination: Ethical approval was obtained from the Medical Ethics Committee Zuyderland-Zuyd Heerlen, the Netherlands (METCZ20180131). Results will be published in peer-reviewed journals and will be presented at national and international conferences., Trial Registration Number: ClinicalTrials.gov Registry (NCT04127383)., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.) more...

Objectives: Schools play an important role in promoting healthy behaviours in children and can offer perspective in the ongoing obesity epidemic. The 'Healthy Primary School of the Future' (HPSF) aims to improve children's health and well-being by enhancing school health promotion. The current study aims to assess the effect of HPSF on children's body mass index (BMI) z-score after 1 and 2 years follow-up and to investigate whether HPSF has different effects within specific subgroups of children., Design: A longitudinal quasi-experimental design., Setting: Four intervention and four control schools participated; located in a low socioeconomic status region in the Netherlands., Participants: 1676 children (aged 4-12 years)., Interventions: HPSF uses a contextual systems approach and includes health-promoting changes in the school. Central to HPSF is the provision of a daily healthy lunch and structured physical activity sessions each day. Two intervention schools implemented both changes (full HPSF), two intervention schools implemented only the physical activity change (partial HPSF)., Main Outcome Measures: BMI z-score, determined by measurements of children's height and weight at baseline, after 1 and 2 years follow-up., Results: The intervention effect was significant after 1-year follow-up in the partial HPSF (standardised effect size (ES)=-0.05), not significant in the full HPSF (ES=-0.04). After 2 years follow-up, BMI z-score had significantly decreased in children of both the full HPSF (ES=-0.08) and the partial HPSF (ES=-0.07) compared with children of the control schools, whose mean BMI z-score increased from baseline to 2 years. None of the potential effect modifiers (gender, baseline study year, socioeconomic status and baseline weight status) were significant., Conclusions: HPSF was effective after 1 and 2 years follow-up in lowering children's BMI z-scores. No specific subgroups of children could be identified who benefitted more from the intervention., Trial Registration Number: NCT02800616., 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.) more...

Objectives: Delirium is an underdiagnosed, severe and costly disorder, and 30%-40% of cases can be prevented. A fully automated model to predict delirium (DEMO) in older people has been developed, and the objective of this study is to validate the model in a hospital setting., Setting: Secondary care, one hospital with two locations., Design: Observational study., Participants: The study included 450 randomly selected patients over 60 years of age admitted to Zuyderland Medical Centre. Patients who presented with delirium on admission were excluded., Primary Outcome Measures: Development of delirium through chart review., Results: A total of 383 patients were included in this study. The analysis was performed for delirium within 1, 3 and 5 days after a DEMO score was obtained. Sensitivity was 87.1% (95% CI 0.756 to 0.939), 84.2% (95% CI 0.732 to 0.915) and 82.7% (95% CI 0.734 to 0.893) for 1, 3 and 5 days, respectively, after obtaining the DEMO score. Specificity was 77.9% (95% CI 0.729 to 0.882), 81.5% (95% CI 0.766 to 0.856) and 84.5% (95% CI 0.797 to 0.884) for 1, 3 and 5 days, respectively, after obtaining the DEMO score., Conclusion: DEMO is a satisfactory prediction model but needs further prospective validation with in-person delirium confirmation. In the future, DEMO will be applied in clinical practice so that physicians will be aware of when a patient is at an increased risk of developing delirium, which will facilitate earlier recognition and diagnosis, and thus will allow the implementation of prevention measures., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.) more...

Introduction: It is widely accepted that transportation of critically ill patients is high risk. Unfortunately, however, there are currently no evidence-based criteria with which to determine the quality of various interhospital transport systems and their impact on the outcomes for patients. We aim to rectify this by assessing 2 scores which were developed in our hospital in a prospective, observational study. Primarily, we will be examining the Quality of interhospital critical care transportation in the Euregion Meuse-Rhine (QUIT EMR) score, which focuses on the quality of the transport system, and secondarily the SEMROS (Simplified EMR outcome score) which detects changes in the patient's clinical condition in the 24 hours following their transportation., Methods and Analysis: A web-based application will be used to document around 150 pretransport, intratransport and post-transport items of each patient case.To be included, patients must be at least 18-years of age and should have been supervised by a physician during an interhospital transport which was started in the study region.The quality of the QUIT EMR score will be assessed by comparing 3 predefined levels of transport facilities: the high, medium and low standards. Subsequently, SEMROS will be used to determine the effect of transport quality on the morbidity 24 hours after transportation.It is estimated that there will be roughly 3000 appropriate cases suitable for inclusion in this study per year. Cases shall be collected from 1 April 2015 until 31 December 2017., Ethics and Dissemination: This trial was approved by the Ethics committees of the university hospitals of Maastricht (Netherlands) and Aachen (Germany). The study results will be published in a peer reviewed journal. Results of this study will determine if a prospective randomised trial involving patients of various categories being randomly assigned to different levels of transportation system shall be conducted., Trial Registration Number: NTR4937., (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/.) more...

Objective: To determine the clinical effectiveness of ultrasound tailored treatment in patients with acute subacromial disorders., Design: Pragmatic randomised controlled trial., Setting: Dutch general practice., Participants: Patients aged 18-65 years with acute (duration <3 months) unilateral shoulder pain and no previous treatment, in whom the general practitioner suspected a subacromial disorder was enrolled., Interventions: All patients underwent ultrasound imaging of the affected shoulder. Patients who were still symptomatic after a qualification period of 2 weeks with standard treatment were randomised to treatment tailored to ultrasound diagnosis (disclosure of the ultrasound diagnosis) or usual care (non-disclosure of the ultrasound diagnosis)., Primary Outcome Measure: Patient-perceived recovery using the Global Perceived Effect questionnaire at 1 year., Results: 129 patients were included. 18 patients recovered during the 2-week qualification period, resulting in 111 randomised patients; 56 were allocated to ultrasound tailored treatment and 55 to usual care. After 1 year, no statistically significant differences in recovery were found between the ultrasound tailored treatment group (72.5% (37/51)) and the usual care group (60% (30/50), OR 2.24 (95% CI 0.72 to 6.89; p=0.16)). Also, healthcare use was similar., Conclusions: This study has shown no clinically significant difference in the primary outcome measure between the ultrasound tailored treatment and usual care groups. Furthermore, there was no overall difference in healthcare resources used between groups. Although no formal cost data are included, one can only assume that the ultrasound examinations are additional costs for the intervention group, which cannot be justified in routine practice based on this trial. Based on this study, no change in current pragmatic guidelines to incorporate early ultrasound imaging can be recommended., Trial Registration Number: NTR2403; Results., Competing Interests: Conflicts of Interest: None declared., (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/.) more...

Objective: To evaluate the effectiveness of biopsychosocial Self-Management Support (SMS) delivered by practice nurses in routine diabetes care., Design: A pragmatic cluster-randomised controlled trial within a hybrid effectiveness-implementation study design. Practice nurses were cluster-randomised., Setting: A regional care group in the Netherlands consisting of 77 family practices. The study involved practice nurses (n=40) providing care to approximately 4000 patients with diabetes., Participants: Patients with type 2 diabetes (n=264) selected by a self-administered questionnaire aimed at measuring emotional distress and diabetes-related reduced daily functioning., Intervention: Practice nurses in the intervention arm (n=19) were trained to integrate SMS into their routine consultations. SMS included detection of patients with emotional distress and reduced daily functioning, and supporting them when needed through problem solving and reattribution techniques. Practice nurses in the control arm (n=21) provided usual care., Main Outcome Measures: The primary outcome measure was a dichotomised score on a Visual Analogue Scale that measured the perceived effect of diabetes on daily functioning. Secondary measures included patients' diabetes-related distress, quality of life, autonomy and participation, self-efficacy, self-management and glycaemic control. Outcomes were measured at baseline and at 4-month and 12-month follow-ups., Results: Only 16 of the 117 patients in the intervention arm (14%) who were found eligible by the posted research-driven screening questionnaire were detected by their practice nurses. Extra consultations for the self-management support were delivered to only 11 study participants. In the control arm, 147 patients received usual care. Multilevel analyses showed no significant differences in outcomes between the intervention and control arms., Conclusions: SMS in its present form was not effective. The research-driven screening to select trial participants appeared to be inconsistent with nurse-led detection in routine practice. Adequate follow-up moments need to be built in to overcome barriers resulting from tension between the implementation and effectiveness parts of hybrid studies., Trial Registration Number: Current Controlled Trials NTR2764., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.) more...