bluuebunny/crossref_metadata_2025_split huggingface dataset:
Life-years lost by COVID-19 patients in public hospitals of Marseille (APHM-South-Eastern France): a limited death toll: a retrospective analysis
Authors: Arlotto Sylvie , Garès Alice , Giraud-Gatineau Audrey , Lagier Jean Cristophe , Jimeno Marie-Thérèse , Peretti-Watel Patrick , Million Matthieu , Parola Philippe , Brouqui Philippe , Raoult Didier , Gentile Stephanie 
Published: December 2021

ObjectiveBetween 1 March and 15 June, France experienced the first wave of the COVID-19 pandemic, during which 29 549 deaths occurred among COVID-19 patients, 17 250 of whom died in hospital. Our hypothesis is that crude mortality rates are not sufficient to assess the impact of the epidemic on public health. The objective of this paper is to estimate the potential years of life lost (YLL) of patients who died from COVID-19.MethodWe realised a retrospective analysis of the exhaustive sample of COVID-19 PCR-positive patients who died in public hospitals of Marseille during this first wave. Data on demographic characteristics, comorbidities and care pathways were collected from medical records. The Charlson Comorbidity Index (CCI) was used to assess what would have been the probability of dying within 1 year of these patients in the absence of COVID-19 and to estimate total YLL.ResultsAmong the 1631 patients who were hospitalised for COVID-19, 178 patients died, at an average age of 80 years. According to CCI, 88.8% of the deceased patients had an 85% probability of dying within 1 year before COVID-19. Among the 11.2% who had a lower CCI probability, 18 out of 20 had at least one additional comorbidity known to be a major risk factor of mortality in COVID-19 disease. Cumulative total number of YLL was estimated to be 541 in this deceased population, that is, an average of 3 YLL.ConclusionAlthough our results should be interpreted with caution, this analysis confirms that mortality due to COVID-19 translates into a limited number of YLL due to both old age and preexisting comorbidities in the most vulnerable patients. This fact should be better considered in public health management of the pandemic both for risk communication and design of the most appropriate protective measures.
Comprehensive geriatric assessment in perioperative care: a protocol for a systematic review and qualitative synthesis
Authors: Miller Rachael Lucia , Barnes Jonathan David , Mouton Ronelle , Braude Philip , Hinchliffe Robert 
Published: December 2021

IntroductionComprehensive geriatric assessment (CGA) is an intervention that has been deployed in the perioperative setting with the aim to improve outcomes for older patients admitted to hospital. Older patients undergoing surgery are more likely to have postoperative complications, a longer hospital stay and be discharged to a care facility. Despite the increasing application of this intervention within surgical services, the evidence for CGA remains limited in this group. The aim of this systematic review is to describe CGA as in intervention applied to surgical populations in randomised controlled trials (RCTs) as well as the outcomes assessed.Methods and analysisA systematic search of RCTs of CGA in surgery will be run in Embase, Medline, CINAHL (Cumulative Index to Nursing and Allied Health Literature) and Cochrane library. Further articles will be identified from reference lists in relevant studies found in the search. A narrative synthesis will be undertaken outlining specialties included, detailed descriptions of the intervention and outcomes.Ethics and disseminationNo ethical approval is required. The results of this review will be published and used as the basis of work to optimise this intervention for future trials in surgical populations.PROSPERO registration numberThis review is registered with PROSPERO CRD42020221797.
Development and validation of an algorithm to estimate the risk of severe complications of COVID-19: a retrospective cohort study in primary care in the Netherlands
Authors: Herings Ron M C , Swart Karin M A , van der Zeijst Bernard A M , van der Heijden Amber A , van der Velden Koos , Hiddink Eric G , Heymans Martijn W , Herings Reinier A R , van Hout Hein P J , Beulens Joline W J , Nijpels Giel , Elders Petra J M 
Published: December 2021

ObjectiveTo develop an algorithm (sCOVID) to predict the risk of severe complications of COVID-19 in a community-dwelling population to optimise vaccination scenarios.DesignPopulation-based cohort study.Setting264 Dutch general practices contributing to the NL-COVID database.Participants6074 people aged 0–99 diagnosed with COVID-19.Main outcomesSevere complications (hospitalisation, institutionalisation, death). The algorithm was developed from a training data set comprising 70% of the patients and validated in the remaining 30%. Potential predictor variables included age, sex, chronic comorbidity score (CCS) based on risk factors for COVID-19 complications, obesity, neighbourhood deprivation score (NDS), first or second COVID-19 wave and confirmation test. Six population vaccination scenarios were explored: (1) random (naive), (2) random for persons above 60 years (60plus), (3) oldest patients first in age band of 5 years (oldest first), (4) target population of the annual influenza vaccination programme (influenza), (5) those 25–65 years of age first (worker), and (6) risk based using the prediction algorithm (sCOVID).ResultsSevere complications were reported in 243 (4.8%) people with 59 (20.3%) nursing home admissions, 181 (62.2%) hospitalisations and 51 (17.5%) deaths. The algorithm included age, sex, CCS, NDS, wave and confirmation test (c-statistic=0.91, 95% CI 0.88 to 0.94) in the validation set. Applied to different vaccination scenarios, the proportion of people needed to be vaccinated to reach a 50% reduction of severe complications was 67.5%, 50.0%, 26.1%, 16.0%, 10.0% and 8.4% for theworker, naive,influenza, 60plus, oldest firstandsCOVIDscenarios, respectively.ConclusionThe sCOVID algorithm performed well to predict the risk of severe complications of COVID-19 in the first and second waves of COVID-19 infections in this Dutch population. The regression estimates can and need to be adjusted for future predictions. The algorithm can be applied to identify persons with highest risks from data in the electronic health records of general practitioners (GPs).
Identifying patient-important outcomes for treatment of bipolar disorder: a systematic review protocol
Authors: D'Elia Alessia , Orsini Olivia , Sanger Stephanie , Hillmer Alannah , Sanger Nitika , Panesar Balpreet , Rodrigues Myanca , Kapczinski Flavio , Thabane Lehana , Samaan Zainab 
Published: December 2021

IntroductionTreatment of bipolar disorder is the focus of several clinical trials, however the understanding of the outcomes for establishing treatment effectiveness within these trials is limited. Further, there is limited literature which reports on the outcomes considered to be important to patients, indicating that patient perspectives are often not considered when selecting outcomes of effectiveness within trials. This protocol describes a systematic review which aims to describe the outcomes being used within trials to measure treatment effectiveness, commenting on the inclusion of patient-important outcomes within previous trials.Methods and analysisThis protocol is reported using the Preferred Reporting Items for Systematic Reviews and Meta-analyses Protocols statement. OVID MEDLINE, OVID Embase, OVID APA PsycINFO, Web of Science, the Wiley Cochrane Library, ClinicalTrials.gov and the International Clinical Trials Registry Platform databases will be searched for eligible studies. Screening, full-text and data extraction stages will be completed in duplicate using the Covidence platform for systematic reviews. Eligible studies will include clinical trials of interventions in bipolar disorder, in order to identify outcomes used to assess treatment effectiveness, and qualitative studies, to determine which outcomes have been reported as important by patients. Risk of bias for included studies will be assessed using the Cochrane Risk of Bias Tool for randomised controlled trials, and the Newcastle-Ottawa Scale for observational research.Ethics and disseminationThis review will involve dissemination to key stakeholders, including primary end users such as patients, clinicians and trialists. Knowledge translation tools will be generated to share the relevant conclusions of this review. Results will be communicated to the scientific community through peer-reviewed publications, conferences and workshops. No ethics approval will be sought as this study is based on literature.PROSPERO registration numberCRD42021214435.
Impact of healthcare strikes on patient mortality: a protocol for a systematic review and meta-analysis of observational studies
Authors: Essex Ryan , Weldon Sharon Marie , Thompson Trevor , Kalocsanyiova Erika , McCrone Paul , Deb Sanjoy 
Published: December 2021

IntroductionA strike is a collective, temporary and calculated action, which involves a temporary stoppage of work. For healthcare professionals strike action poses a unique dilemma. Perhaps most fundamentally, as strike action is designed to be disruptive it has the potential to impact the delivery of care and place patient well-being in jeopardy. The objective of this study is therefore to evaluate the impact of healthcare strike action on patient mortality outcomes globally using meta-analysis in order to provide a comprehensive evidence base that can advise healthcare professionals, governments and regulatory bodies on the impact that strike action has on patients.Methods and analysisA comprehensive literature search of major electronic databases (EMBASE, MEDLINE, CINAHL, BIOETHICSLINE, EconLit, WEB OF SCIENCE, OPEN GREY and SIGMA REPOSITORY) will be undertaken to identify observational studies of strike action among healthcare professionals where in-hospital/clinic and population/community mortality is examined, prestrike, during and poststrike. Meta-analysis will be performed to estimate in-hospital/clinic and population/community mortality during periods of strike action. The quality of evidence will be assessed using the National Institute of Health quality assessment tool for observational cohort and cross-sectional studies. Risk of bias will be assessed using the Cochrane Risk Of Bias In Non-Randomized Studies - of Interventions tool.Ethics and disseminationThis study does not require ethical approval. Findings will be submitted to an appropriate peer-reviewed journal.Trial registration numberCRD42021238879.
Self-care interventions in stroke survivor–caregiver dyads: a protocol for systematic review and meta-analysis
Authors: Wang Wenna , Lin Beilei , Mei Yongxia , Zhang Zhenxiang , Zhou Bing 
Published: December 2021

IntroductionStroke is known as one of the leading causes of mortality and disability worldwide. Self-care plays a significant role in improving the quality of life, self-efficacy and many other outcomes of stroke survivors. However, it is a dyadic phenomenon where patient self-care and the caregiver contribution to self-care are inter-related in terms of predictors and outcomes. Currently, there is still no systematic assessment conducted to examine the overall effectiveness of self-care interventions carried out in stroke survivor–caregiver dyads and explore the effect on stroke survivor and/or caregiver outcomes.MethodsWe plan to conduct a systematic review and meta-analysis of the evidence regarding the self-care interventions carried out in stroke survivor–caregiver dyads. We will undertake a systematic search of multiple databases including PubMed, Web of Science, CINAHL, PsycINFO, EMBASE, Cochrane Central Register of Controlled Trials and four Chinese databases (CNKI, CBM, WANFANG and VIP) from inception to July 2021 for the purpose of collecting the relevant articles. The eligible studies are defined as those original researches, written in English or Chinese, on self-care interventions in stroke survivor–caregiver dyad samples. Two independent researchers will be deployed to identify the eligible trials according to the selection criteria and extract the relevant data. The Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols checklist has been used for this protocol. We will use the Cochrane Risk for Bias tool to assess the risk of bias for randomised controlled trials.Ethics and disseminationIn our review, any identifiable patient data will be excluded, which removes the need for ethical approval and participant consent. The final results of our study will be published in an open-access peer-reviewed journal, and abstract will be presented at suitable national/international conferences.PROSPERO registration numberCRD42021239824.
Experiences of living with developmental dysplasia of the hip in adults not eligible for surgical treatment: a qualitative study
Authors: Jorgensen Martin Dan , Frederiksen Sarah Bournonville , Sørensen Dorthe , Jacobsen Julie Sandell 
Published: December 2021

ObjectivesAdults with developmental dysplasia of the hip face barriers in their everyday lives due to pain and physical limitations. In Denmark, some patients may not be eligible for hip-preserving surgery due to being overweight, hip osteoarthritis, age above 45 years, negative impingement test or not wishing to undergo surgery. These patients are left with no evidence-based treatment option. The patient perspective when not being eligible for surgery has not yet been investigated. This study aimed to explore the experiences of living with developmental dysplasia of the hip in adults not eligible for hip-preserving surgery.Design and participantsIn this qualitative study, we used a phenomenological–hermeneutic approach to explore the experiences of living with developmental dysplasia of the hip. We conducted semistructured interviews with 17 purposefully selected patients (median age 37 (range 19–50) years). The patients were recruited from a population of 30 patients included in a larger feasibility study evaluating a 6-month exercise and patient education intervention. We used a ricoeur-inspired method to analyse and interpret the interview data.ResultsThree themes were identified. First, developmental dysplasia of the hip is more than just a joint disease. Second, living with pain is difficult when pain has its own life. Third, limitations imposed by hip problems challenge the perception of oneself as young, active and independent. Identity, meaningfulness, control over pain and coping with pain were areas of the patients’ lives that were influenced.ConclusionLiving with developmental dysplasia of the hip had a considerable impact on the patients of this study and their everyday life in several areas. Therefore, it may be relevant to approach patients with developmental dysplasia of the hip from a biopsychosocial point of view. However, further research is required to obtain a better understanding of the experiences of living with developmental dysplasia of the hip.
Prediction of chronic postsurgical pain in adults: a protocol for multivariable prediction model development
Authors: Papadomanolakis-Pakis Nicholas , Haroutounian Simon , Christiansen Christian Fynbo , Nikolajsen Lone 
Published: December 2021

IntroductionChronic postsurgical pain (CPSP) is a condition that affects an estimated 10%–50% of adults, depending on the surgical procedure. CPSP often interferes with activities of daily living and may have a negative impact on quality of life, emotional and physical well-being. Clinical prediction models can help clinicians target preventive strategies towards patients at high-risk of CPSP. Therefore, the objective of this study is to develop a clinically applicable and generalisable prediction model for CPSP in adults.Methods and analysisThis research will be a prospective single-centre observational cohort study in Denmark spanning approximately 1 year or until a predefined number of patients are recruited (n=1526). Adult patients aged 18 years and older scheduled to undergo surgery will be recruited at Aarhus University Hospital. The primary outcome is CPSP 3 months after surgery defined as average pain intensity at rest or on movement ≥3 on numerical rating scale (NRS) within the past week, and/or average pain interference ≥3 on NRS among any of seven short-form Brief Pain Inventory items in the past week (general activity, mood, walking ability, normal work (including housework), relations with other people, sleep and enjoyment of life). Logistic regression will be used to conduct multivariate analysis. Predictive model performance will be evaluated by discrimination, calibration and model classification.Ethics and disseminationThis research has been approved by Central Region Denmark and will be conducted in accordance with the Danish Data Protection Act and Declaration of Helsinki. Study findings will be disseminated through conference presentations and peer-reviewed publication. A CPSP risk calculator (CPSP-RC) will be developed based on predictors retained in the final models. The CPSP-RC will be made available online and as a mobile application to be easily accessible for clinical use and future research including validation and clinical impact assessments.Trial registration numberNCT04866147.
Using natural language processing to extract self-harm and suicidality data from a clinical sample of patients with eating disorders: a retrospective cohort study
Authors: Cliffe Charlotte , Seyedsalehi Aida , Vardavoulia Katerina , Bittar André , Velupillai Sumithra , Shetty Hitesh , Schmidt Ulrike , Dutta Rina 
Published: December 2021

ObjectivesThe objective of this study was to determine risk factors for those diagnosed with eating disorders who report self-harm and suicidality.Design and settingThis study was a retrospective cohort study within a secondary mental health service, South London and Maudsley National Health Service Trust.ParticipantsAll diagnosed with an F50 diagnosis of eating disorder from January 2009 to September 2019 were included.Intervention and measuresElectronic health records (EHRs) for these patients were extracted and two natural language processing tools were used to determine documentation of self-harm and suicidality in their clinical notes. These tools were validated manually for attribute agreement scores within this study.ResultsThe attribute agreements for precision of positive mentions of self-harm were 0.96 and for suicidality were 0.80; this demonstrates a ‘near perfect’ and ‘strong’ agreement and highlights the reliability of the tools in identifying the EHRs reporting self-harm or suicidality. There were 7434 patients with EHRs available and diagnosed with eating disorders included in the study from the dates January 2007 to September 2019. Of these, 4591 (61.8%) had a mention of self-harm within their records and 4764 (64.0%) had a mention of suicidality; 3899 (52.4%) had mentions of both. Patients reporting either self-harm or suicidality were more likely to have a diagnosis of anorexia nervosa (AN) (self-harm, AN OR=3.44, 95% CI 1.05 to 11.3, p=0.04; suicidality, AN OR=8.20, 95% CI 2.17 to 30.1; p=0.002). They were also more likely to have a diagnosis of borderline personality disorder (p≤0.001), bipolar disorder (p<0.001) or substance misuse disorder (p<0.001).ConclusionA high percentage of patients (>60%) diagnosed with eating disorders report either self-harm or suicidal thoughts. Relative to other eating disorders, those diagnosed with AN were more likely to report either self-harm or suicidal thoughts. Psychiatric comorbidity, in particular borderline personality disorder and substance misuse, was also associated with an increase risk in self-harm and suicidality. Therefore, risk assessment among patients diagnosed with eating disorders is crucial.
Implementation, efficacy and cost effectiveness of the unified protocol in a blended format for the transdiagnostic treatment of emotional disorders: a study protocol for a multicentre, randomised, superiority controlled trial in the Spanish National Health System
Authors: Osma J , Martínez-García Laura , Peris-Baquero Óscar , Navarro-Haro María Vicenta , González-Pérez Alberto , Suso-Ribera Carlos 
Published: December 2021

IntroductionEmotional disorders (EDs) have become the most prevalent psychological disorders in the general population, which has boosted the economic burden associated with their management. Approximately half of the individuals do not receive adequate treatment. Consequently, finding solutions to deliver cost-effective treatments for EDs has become a key goal of today’s clinical psychology. Blended treatments, a combination of face-to-face and online interventions, have emerged as a potential solution to the previous. The Unified Protocol for the Transdiagnostic Treatment of EDs (UP) might serve this purpose, as it can be applied to a variety of disorders simultaneously and its manualised format makes it suitable for blended interventions.Methods and analysisThe study is a multicentre, randomised, superiority, clinical trial. Participants will be 310 individuals with a diagnosis of an ED. They will be randomised to a treatment as usual (individual cognitive behavioural therapy) or a UP condition in a blended format (face-to-face individual UP +online, app-based UP). Primary outcomes will be ED diagnostic criteria and depression and anxiety symptoms. Cost efficiency of the intervention, app usability, as well as opinion and confidence in the treatment will also be evaluated. Assessment points will include baseline and 3 months, 6 months and 12 months after UP treatment.Ethics and disseminationThe study has received approvals by the Ethics Research Committee of Navarra, Castellón, Euskadi, Castilla y León, Extremadura, Lleida and Aragón. The study is currently under an approval process by the Ethics Research Committees of all the remaining collaborating centres. Outcomes will be disseminated through publication in peer-reviewed journals and presentations at international conference meetings.Trial registration numberNCT04304911.