bluuebunny/crossref_metadata_2025_split huggingface dataset:
Facilitators and barriers impacting in-hospital Trauma Quality Improvement Program (TQIP) implementation across country income levels: a scoping review
Authors: Kapanadze George , Berg Johanna , Sun Yue , Gerdin Wärnberg Martin 
Published: February 2023

ObjectiveTrauma is a leading cause of mortality and morbidity globally, disproportionately affecting low/middle-income countries (LMICs). Understanding the factors determining implementation success for in-hospital Trauma Quality Improvement Programs (TQIPs) is critical to reducing the global trauma burden. We synthesised topical literature to identify key facilitators and barriers to in-hospital TQIP implementation across country income levels.DesignScoping review.Data sourcesPubMed, Web of Science and Global Index Medicus databases were searched from June 2009 to January 2022.Eligibility criteriaPublished literature involving any study design, written in English and evaluating any implemented in-hospital quality improvement programme in trauma populations worldwide. Literature that was non-English, unpublished and involved non-hospital TQIPs was excluded.Data extraction and synthesisTwo reviewers completed a three-stage screening process using Covidence, with any discrepancies resolved through a third reviewer. Content analysis using the Consolidated Framework for Implementation Research identified facilitator and barrier themes for in-hospital TQIP implementation.ResultsTwenty-eight studies met the eligibility criteria from 3923 studies identified. The most discussed in-hospital TQIPs in included literature were trauma registries. Facilitators and barriers were similar across all country income levels. The main facilitator themes identified were the prioritisation of staff education and training, strengthening stakeholder dialogue and providing standardised best-practice guidelines. The key barrier theme identified in LMICs was poor data quality, while high-income countries (HICs) had reduced communication across professional hierarchies.ConclusionsStakeholder prioritisation of in-hospital TQIPs, along with increased knowledge and consensus of trauma care best practices, are essential efforts to reduce the global trauma burden. The primary focus of future studies on in-hospital TQIPs in LMICs should target improving registry data quality, while interventions in HICs should target strengthening communication channels between healthcare professionals.
Protocol for an OpenSAFELY cohort study collecting patient-reported outcome measures using the TPP Airmid smartphone application and linked big data to quantify the health and economic costs of long COVID (OpenPROMPT)
Authors: Herrett Emily , Tomlin Keith , Lin Liang-Yu , Tomlinson Laurie A , Jit Mark , Briggs Andrew , Marks Michael , Sandmann Frank , Parry John , Bates Christopher , Morley Jessica , Bacon Seb , Butler-Cole Benjamin , Mahalingasivam Viyaasan , Dennison Alan , Smith Deb , Gabriel Ethan , Mehrkar Amir , Goldacre Ben , Smeeth Liam , Eggo Rosalind M M 
Published: February 2023

IntroductionThe impact of long COVID on health-related quality of-life (HRQoL) and productivity is not currently known. It is important to understand who is worst affected by long COVID and the cost to the National Health Service (NHS) and society, so that strategies like booster vaccines can be prioritised to the right people. OpenPROMPT aims to understand the impact of long COVID on HRQoL in adults attending English primary care.Methods and analysisWe will ask people to participate in this cohort study through a smartphone app (Airmid), and completing a series of questionnaires held within the app. Questionnaires will ask about HRQoL, productivity and symptoms of long COVID. Participants will be asked to fill in the questionnaires once a month, for 90 days. Questionnaire responses will be linked, where possible, to participants’ existing health records from primary care, secondary care, and COVID testing and vaccination data. Analysis will take place using the OpenSAFELY data platform and will estimate the impact of long COVID on HRQoL, productivity and cost to the NHS.Ethics and disseminationThe Proportionate Review Sub-Committee of the South Central—Berkshire B Research Ethics Committee has reviewed and approved the study and have agreed that we can ask people to take part (22/SC/0198). Our results will provide information to support long-term care, and make recommendations for prevention of long COVID in the future.Trial registration numberNCT05552612.
Process over outcome quality in paediatrics? An analysis of outpatient healthcare quality indicators for seven common diseases
Authors: Müller Teresa , Mehl Claudia , Nau Thorsten , Bachmann Christian , Geraedts Max 
Published: February 2023

PurposeThe purpose of this study was to examine the scope, quality dimensions and treatment aspects covered by existing quality indicators (QIs) for the somatic diseases bronchial asthma, atopic eczema, otitis media and tonsillitis as well as the psychiatric disorders attention deficit hyperactivity disorder (ADHD), depression and conduct disorder in paediatrics.MethodsQIs were identified through an analysis of the guidelines and a systematic search of literature and indicator databases. Subsequently, two researchers independently assigned the QIs to the quality dimensions according to Donabedian and Organisation for Economic Cooperation and Development (OECD) and to the content categories covering the treatment process.ResultsWe found 1268 QIs for bronchial asthma, 335 QIs for depression, 199 QIs for ADHD, 115 QIs for otitis media, 72 QIs for conduct disorder, 52 QIs for tonsillitis and 50 QIs for atopic eczema. Of these, 78% focused on process quality, 20% on outcome quality and 2% on structural quality. Using OECD criteria, 72% of the QIs were assigned to effectiveness, 17% to patient-centredness, 11% to patient safety and 1% to efficiency. The QIs covered the following categories: diagnostics (30%), therapy (38%), patient-reported outcome measures/ observer-reported outcome measures/patient-reported experience measures (in sum 11%), health monitoring (11%) and office management (11%).ConclusionMost QIs focused on the dimensions of effectiveness and process quality, and on the categories of diagnostics and therapy, with outcome-focused and patient-focused QIs being under-represented. Possible reasons for this striking imbalance could be the easier measurability and clearer assignment of accountability in comparison to the QIs of outcome quality, patient-centredness and patient safety. To produce a more balanced picture of the quality of healthcare, the future development of QIs should prioritise the currently under-represented dimensions.
Gadget addiction among school-going children and its association to cognitive function: a cross-sectional survey from Bangladesh
Authors: Liza Mowshomi Mannan , Iktidar Mohammad Azmain , Roy Simanta , Jallow Musa , Chowdhury Sreshtha , Tabassum Mustari Nailah , Mahmud Tarannum 
Published: February 2023

BackgroundPeople are becoming more dependent on technology than ever before. Today’s children and adults are heavily plugged into electronics, which raises concerns for their physical and cognitive development. This cross-sectional study was conducted to assess the relationship between media usage and cognitive function among school-going children.MethodsThis cross-sectional study was conducted in 11 schools in 3 of Bangladesh’s most populous metropolitan areas: Dhaka, Chattogram and Cumilla. A semistructured questionnaire with three sections was used to obtain data from the respondents: (1) background information, (2) PedsQL Cognitive Functioning Scale and (3) Problematic Media Use Measure Short Form. Stata (V.16) was used for statistical analysis. Mean and SD were used to summarise quantitative variables. Qualitative variables were summarised using frequency and percentage. The χ2test was used to explore bivariate association between categorical variables, and a binary logistic regression model was fit to investigate the factors associated with the cognitive function of the study participants after adjusting for confounders.ResultsThe mean age of total of 769 participants was 12.0±1.8 years, and the majority (67.31%) were females. The prevalence of high gadget addiction and poor cognitive function was 46.9% and 46.5%, respectively, among the participants. After adjusting the factors, this study found a statistically significant relationship (adjusted OR 0.4, 95% CI 0.3 to 0.7) between gadget addiction and cognitive function. In addition, the duration of breast feeding was a predictor of cognitive function as well.ConclusionThis study found digital media addiction as a predictor of decreased cognitive performance in children who use digital gadgets regularly. Although the cross-sectional design of the study precludes causal relationships from being determined, the study finding deserves further examination via longitudinal research.
Baseline concussion assessment performance by sex in military service academy rugby players: findings from the CARE Consortium
Authors: Hunzinger Katherine J , Cameron K L , Roach M H , Jackson J C , McGinty G T , Robb J B , Susmarski A J , Estevez C A , Broglio S P , McAllister T W , McCrea M , Pasquina P F , Buckley T A 
Published: February 2023

BackgroundNormative student-athlete concussion assessment data may not be appropriate for service academy members (SAMs), particularly rugby players, because of the uniqueness of their academic/military training environment. Having accurate baseline data for this population is important because of their high risk for concussion and frequent lack of assigned sports medicine professional. The primary purpose of this study was to characterise baseline performance on a concussion assessment battery, with secondary purpose to determine effect of sex and concussion history on these measures among SAM rugby players.Methods601 rugby-playing SAMs (19.3±1.5 years, 37.9% female) completed baseline concussion assessments: the Sport Concussion Assessment Tool (SCAT) Symptom and Symptom Severity Checklist, Standard Assessment of Concussion (SAC) and a neuropsychological test (either ImPACT (Immediate Post Concussion Assessment and Cognitive Testing) or ANAM (Automated Neuropsychological Assessment Metrics)). Groups were compared using an independent samples t-test or Mann-Whitney U test. A 2 (sex) × 2 (concussion history) ANOVA was conducted to determine the effects of sex and concussion history on outcomes.ResultsWomen reported greater SCAT total symptoms (3.3 vs 2.8, p<0.001, r=0.143) and symptom severities (5.7 vs 4.3, p<0.001, r=0.139), and performed worse on ImPACT Visual Memory (79.3 vs 82.6, p=0.002, r=0.144) than men. Women performed better than men on SAC (28.0 vs 27.7, p=0.03, r=0.088), ImPACT Reaction Time Composite (0.59 vs 0.61, p=0.04, r=0.092) and ANAM Code Substitution Delayed (64.3 vs 61.5, p=0.04, d=0.433). Individuals with a history of concussion reported lower ImPACT Symptom Severity (2.6 vs 4.2, p=0.02, r=0.110). There was no interaction between concussion history and sex on outcomes.ConclusionsThese findings provide reference data for SAM rugby players on baseline assessments and to help in clinical decision-making when managing sports-related concussion in absence of baseline data.
Acetazolamide versus placebo for cerebral oedema requiring dexamethasone in recurrent and/or progressive high-grade glioma: phase II randomised placebo-controlled double-blind study
Authors: Agar Meera R , Nowak Anna K , Hovey Elizabeth J , Barnes Elizabeth H , Simes John , Vardy Janette L , Wheeler Helen R , Kong Benjamin Y , Leonard Robyn , Hall Merryn , Tim Evonne , Spyridopoulos Desma , Sim Hao-Wen , Lwin Zarnie , Dowling Anthony , Harrup Rosemary , Jennens Ross , Kichenadasse Ganessan , Dunlop Tracey , Gzell Cecelia , Koh Eng-Siew 
Published: February 2023

ObjectivesSymptoms of raised intracranial pressure (ICP) in recurrent high-grade glioma (HGG) generally require corticosteroid treatment, often causing toxicity with variable effects on ICP symptoms. Acetazolamide reduces ICP when used in other clinical non-cancer settings. The aim of the study was to explore whether the addition of oral acetazolamide enables safe dexamethasone dose reduction in management of raised ICP in recurrent HGG.MethodsParticipants had recurrent HGG with any of dexamethasone recommencement, dose increase or dependency; prior/current bevacizumab was an exclusion. Eligible participants were randomised 1:1 to acetazolamide or placebo for 8 weeks. Standardised protocols were used for dexamethasone dosing, with planned dose decrease from day 5 once ICP symptoms were stable. The primary endpoint was a composite of dexamethasone dose reduction and stable Karnofsky Performance Status Secondary endpoints included toxicity and feasibility.ResultsThirty participants (15 per group) were enrolled (mean age 58 years) from seven Australian sites. The mean baseline dexamethasone dose was 6.2 mg. Mean duration on study treatment was 38 days (placebo group) and 31 days (acetazolamide group) with nine participants (30%) completing all study treatments (six placebo, three acetazolamide). Study withdrawal was due to adverse events (n=6; one placebo, five acetazolamide) and disease progression (n=6 (three per arm)). Four participants (13%) (two per arm) were stable responders. Ten participants experienced a total of 13 serious adverse events (acetazolamide arm: five participants (33%), six events, two related).ConclusionsThe study closed early due to poor accrual and increasing availability of bevacizumab. The addition of acetazolamide did not facilitate dexamethasone reduction.Trial registration numberACTRN12615001072505.
Non-Markovian speedup evolution of a center massive particle in two-dimensional environmental model
Authors: Zhang Ying-Jie , Wang Qi , Yan Wei-Bin , Man Zhong-Xiao , Xia Yun-Jie 
Published: February 2023

AbstractA two-dimensional ray model is introduced to realize the non-Markovian speedup evolution of a center massive particle gravitationally coupled to a controllable environment (multilayer arrangement of the massive particles). By controlling the environment, for instance by choosing a judicious mass of the environmental particles or by changing the separation distance of each massive particle, two dynamical crossover behaviors from Markovian to non-Markovian and from no-speedup to speedup are achieved due to the gravitational interactions between the system particle and environmental particles. It is obvious that the critical mass of the environmental particles or the critical separation distance for these two dynamical crossover behaviors restrict each other directly. The larger the value of the mass of the environmental particles is, the smaller the value of the critical separation distance should be requested. In addition, it should be emphasized that the non-Markovian dynamics is the principal physical reason for the speedup evolution of the system massive particle. Particularly, the non-Markovianity of the dynamics process of the system massive particle in the even ray case has better correspondence with the quantum speed limit time than that in the singular ray case.
Is the Implementation of Big Data Analytics in Sustainable Supply Chain Really a Challenge? The Context of the Indian Manufacturing Sector
Authors: Jain Prashant , Tambuskar Dhanraj P. , Narwane Vaibhav S. 
Published: February 2023

Purpose : In this age, characterized by the incessant generation of a huge amount of data in social and economic life due to the widespread use of digital devices, it has been well established that big data (BD) technologies can bring about a dramatic change in managerial decision-making. This work addresses the challenges of implementation of big data analytics (BDA) in sustainable supply chain management (SSCM). Design/methodology : The barriers to the implementation of BDA in SSCM are identified through an extensive literature survey as per PESTEL framework which covers political, economic, social, technological, environmental and legal barriers. These barriers are then finalized through experts’ opinion and analyzed using DEMATEL and AHP methods for their relative importance and cause-and-effect relationships. Findings : A total of 13 barriers are identified out of which the lack of policy support regarding IT, lack of data-driven decision-making culture, compliance with laws related to data security and privacy, inappropriate selection and adoption of BDA technologies, and cost of implementation of BDA are found to be the key barriers that have a causative effect on most of the other barriers. Research limitations : This work is focused on the Indian manufacturing supply chain (MSC). It may be diversified to other sectors and geographical areas. The addition of missed-out barriers, if any, might enrich the findings. Also, the fuzzy or grey versions of MCDM methods may be used for further fine-tuning of the results. Practical implications : The analysis presented in this work gives hierarchy of the barriers as per their strength and their cause-and-effect relationships. This information may be useful for decision makers to assess their organizational strengths and weaknesses in the context of the barriers and fix their priorities regarding investment in the BDA project. Social implications : The research establishes that the successful implementation of BDA through minimizing the effect of critical causative barriers would enhance the environmental performance of the supply chain (SC) which in turn would benefit society. Originality/value : This is one of the first studies of BDA in SSCM in the Indian manufacturing sector using PESTEL framework.
A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage
Authors: Myserlis Evangelos Pavlos , Georgakis Marios K. , Demel Stacie L. , Sekar Padmini , Chung Jaeyoon , Malik Rainer , Hyacinth Hyacinth I. , Comeau Mary E. , Falcone Guido J. , Langefeld Carl D. , Rosand Jonathan , Woo Daniel , Anderson Christopher D. 
Published: February 2023

Background:
Intracerebral hemorrhage (ICH) has an estimated heritability of 29%. We developed a genomic risk score for ICH and determined its predictive power in comparison to standard clinical risk factors.

Methods:
We combined genome-wide association data from individuals of European ancestry for ICH and related traits in a meta-genomic risk score ([metaGRS]; 2.6 million variants). We tested associations with ICH and its predictive performance in addition to clinical risk factors in a held-out validation dataset (842 cases and 796 controls). We tested associations with risk of incident ICH in the population-based UK Biobank cohort (486 784 individuals, 1526 events, median follow-up 11.3 years).

Results:

One SD increment in the metaGRS was significantly associated with 31% higher odds for ICH (95% CI, 1.16–1.48) in age-, sex- and clinical risk factor-adjusted models. The metaGRS identified individuals with almost 5-fold higher odds for ICH in the top score percentile (odds ratio, 4.83 [95% CI, 1.56–21.2]). Predictive models for ICH incorporating the metaGRS in addition to clinical predictors showed superior performance compared to the clinical risk factors alone (c-index, 0.695 versus 0.686). The metaGRS showed similar associations for lobar and nonlobar ICH, independent of the known
APOE
risk locus for lobar ICH. In the UK Biobank, the metaGRS was associated with higher risk of incident ICH (hazard ratio, 1.15 [95% CI, 1.09–1.21]). The associations were significant within both a relatively high-risk population of antithrombotic medications users, as well as among a relatively low-risk population with a good control of vascular risk factors and no use of anticoagulants.

Conclusions:
We developed and validated a genomic risk score that predicts lifetime risk of ICH beyond established clinical risk factors among individuals of European ancestry. Whether implementation of the score in risk prognostication models for high-risk populations, such as patients under antithrombotic treatment, could improve clinical decision making should be explored in future studies.
Trade Protectionism and Export Adjustment on the Extensive Margin: An Analysis Based on the China–U.S. Trade War
Authors: Tian Wei , Hei Ye 
Published: February 2023

AbstractBased on highly disaggregated customs data from 2016–19, this paper investigates the impact of the China–U.S. trade war on the exports of Chinese firms, from the perspective of the extensive margin of product scope. The paper finds that the rise in U.S. import tariffs during the trade war led to Chinese exporters concentrating on production of their core products and shrinking their export scope. Higher import tariffs resulted in an average 2.43 percent decline in export scope and an average 1.25 percent increase in the export share of core products. The damage was particularly pronounced for intermediate products and heterogeneous products, which is consistent with the high duties. The paper provides direct evidence on the harm to export diversification caused by the China–U.S. trade war, suggesting a welfare loss from the decrease in product variety, as emphasized in the literature. This result holds after controlling for factors such as production cycles and heterogeneity.
The Belt and Road Initiative: Economic Causes and Effects
Authors: Sjöholm Fredrik 
Published: February 2023

AbstractChinese investment abroad has grown significantly in connection with the Belt and Road Initiative (BRI). This paper tries to answer two questions: First, what considerations gave birth to the BRI? And second, what are the project's economic effects in terms of capital flows and international trade? It is found that the project is above all a way to deal with large surplus capacity in China's capital-intensive industries, to increase growth in relatively poor regions of the country, and to secure a supply of energy and raw materials. For other countries involved in the project, BRI investments are a means to increase production and international trade. International trade and foreign direct investment have been positively affected, although to a limited extent. Finally, there are concerns that lack of transparency in Chinese lending may lead to increased corruption, and that some countries will face financial difficulties.
From Farms to Factories and Firms—Structural Transformation and Labor Productivity Growth in Malaysia
Authors: Rahman Amanina Abdur , Schmillen Achim 
Published: February 2023

AbstractUsing data from the Department of Statistics Malaysia from 1987 to 2018 and decompositions that take account of both the static and dynamic efficiency gains from labor reallocation, this study documents that Malaysia has undergone structural transformation from an agriculture-driven to a services-driven economy. In contrast to common perceptions, however, the country's impressive growth in output per capita over the last three decades can largely be attributed not to its structural transformation but instead to sustained growth in within-sector labor productivity. At 3 percent, the contribution of between-sector reallocation of labor to output per capita growth has been relatively low.