bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stevens-Johnson Syndrome Following Vancomycin and Linezolid: A Real-World Analysis of Post-Marketing Surveillance Data
Authors: Ni Ming , Yin Xue-Dong , Hu Wen-Juan , Zeng Na , Zhao Bin , Li Zhi-Ling 
Published: April 2022

Background: Stevens-Johnson syndrome (SJS) has been reported as a serious adverse effect in patients treated with vancomycin or linezolid, and there is currently a lack of real-world studies comparing specific differences in adverse effects of SJS.Methods: According to the FDA’s Adverse Event Reporting System (FAERS), from January 2004 to July 2021, the data of suspected SJS after the use of vancomycin and linezolid were analyzed by imbalance and Bayesian analysis. The onset time, fatality rate and hospitalization rate of vancomycin-associated SJS and linezolid-associated SJS were also investigated.Results: 276 cases of vancomycin-related SJS reports and 63 cases of linezolid-related SJS reports were identified. These two drugs are more common in middle-aged patients (45–64 years) than other age groups, and less common in underage children (&lt;18). Among them, linezolid-related SJS is more common in middle-aged and elderly patients (45–74 years old) than other groups. Except for unspecified data, in vancomycin-associated SJS cases, there are more men than women (49.28% vs 43.84%), while in linezolid-associated SJS cases, the proportion of men and women is almost equal (44.44%). From the point of view of the areas where adverse reactions were reported, about 1/2 of the reports on Vancomycin-related SJS came from North America, and 1/3 of the reports came from Europe. The median onset time of Linezolid-related SJS was 5 days (interquartile range [IQR] 2–7.75), which was significantly earlier than that of Vancomycin-related SJS (12 days, IQR 4–20) (Mann-Whitney test, p &lt; 0.0001). There were no significant differences in mortality and hospitalization rates after vancomycin and linezolid caused SJS.Conclusion: The analysis of faers data provides a comprehensive overview of the adverse reactions of SJS caused by the use of vancomycin and linezolid, and can warn clinical workers to timely intervene and continuously monitor the patients at risk of SJS when using such drugs.
Animal Models of Temporomandibular Joint Osteoarthritis: Classification and Selection
Authors: Zhao Yuqing , An Yanxin , Zhou Libo , Wu Fan , Wu Gaoyi , Wang Jing , Chen Lei 
Published: April 2022

Temporomandibular joint osteoarthritis (TMJOA) is a common degenerative joint disease that can cause severe pain and dysfunction. It has a serious impact on the quality of lives of patients. Since mechanism underlying the pathogenesis of TMJOA is not fully understood, the development of effective tools for early diagnosis and disease-modifying therapies has been hindered. Animal models play a key role in understanding the pathological process of diseases and evaluating new therapeutic interventions. Although some similarities in disease processes between animals and humans are known, no one animal model is sufficient for studying all characteristics of TMJOA, as each model has different translatability to human clinical conditions. For the past 4 decades, TMJOA animal models have been studied by numerous researchers and can be broadly divided into induced, naturally occurring, and genetically modified models. The induced models can be divided into invasive models (intra-articular injection and surgical induction) or non-invasive models (mechanical loading, high-fat diet, and sleep deprivation). Different types of animal models simulate different pathological expressions of TMJOA and have their unique characteristics. Currently, mice, rats, and rabbits are commonly used in the study of TMJOA. This review sought to provide a general description of current experimental models of TMJOA and assist researchers in selecting the most appropriate models for different kinds of research.
The Impact of the Daily Mile™ on School Pupils’ Fitness, Cognition, and Wellbeing: Findings From Longer Term Participation
Authors: Booth Josephine N. , Chesham Ross A. , Brooks Naomi E. , Gorely Trish , Moran Colin N. 
Published: April 2022

BackgroundSchool based running programmes, such as The Daily Mile™, positively impact pupils’ physical health, however, there is limited evidence on psychological health. Additionally, current evidence is mostly limited to examining the acute impact. The present study examined the longer term impact of running programmes on pupil cognition, wellbeing, and fitness.MethodData from 6,908 school pupils (mean age 10.2 ± 0.7 years), who were participating in a citizen science project, was examined. Class teachers provided information about participation in school based running programmes. Participants completed computer-based tasks of inhibition, verbal and visual-spatial working memory, as well as the Children’s Feeling scale and Felt arousal scale to determine subjective wellbeing. A multistage 20-m shuttle run test was used to estimate fitness.ResultsFrom our total sample of 6,908 school pupils, 474 participants had been taking part in a running programme for &lt;2 months (Shorter term participation); 1,004 participants had Longer Term participation (&gt;3 months); and 5,430 did not take part in a running programme. The Longer Term participation group had higher fitness levels than both other groups and this remained significant when adjusted for age, sex and SES. Moderated regression analysis found that for the Shorter Term participation group, higher shuttle distance was associated with better visual-spatial working memory. Effect sizes were small though.ConclusionWe identified small and selective positive impact of participation in school based running programmes on fitness and cognition. While no long term benefit was identified for cognition or wellbeing, the impact on fitness and short term benefit suggest schools should consider participation.
The U-Curve of Happiness Revisited: Correlations and Differences in Life Satisfaction Over the Span of Life—An Empirical Evaluation Based on Data From 1,597 Individuals Aged 12–94 in Germany
Authors: Karwetzky Christopher , Michaelsen Maren M. , Werdecker Lena , Esch Tobias 
Published: April 2022

BackgroundSubjective wellbeing (SWB) is a research topic of growing interest for different disciplines. Based on a cross-sectional survey with 1,597 participants aged 12–94, this study investigated life satisfaction and momentary happiness, two important dimensions of SWB. We examined their relationship, shape, and correlates across individuals of different ages and interpreted the results in the light of a neurobiological model of motivation systems.MethodsStatistical analyses were performed using multiple linear regression. First, we examined how life satisfaction is associated with selected socio-demographic variables across four age groups. Second, we analyzed the association between life satisfaction and age, and lastly, we examined the extent to which happiness is a prerequisite for life satisfaction in each age group.ResultsOur analyses show that life satisfaction correlates negatively with poor health and financial worries, and positively with partnership, grandchildren, and religiosity. However, the inverse relationship with poor health is stronger in younger than in older individuals, while the inverse association with financial worries is strongest in late midlife (50–69 years). We identified gender-specific differences concerning the relationship between life satisfaction and age, with males displaying a U-shape trend with its lowest point between the ages of 30 and 49, whereas females’ life satisfaction increases stepwise with age. Although momentary happiness correlates strongly with life satisfaction, this relationship decreases with age.ConclusionThe results suggest that individuals adjust or even grow beyond their perceptions of a “good life” over time. Neurobiological processes of adaptation and personal growth could play an important role in these developments.
Measurement Properties of the Staff Attitude to Coercion Scale: A Systematic Review
Authors: Husum Tonje Lossius , Ruud Torleif , Lickiewicz Jakub , Siqveland Johan 
Published: April 2022

ObjectiveThe Staff Attitude to Coercion Scale (SACS) was developed to assess mental health care staff's attitudes to the use of coercion in treatment. The staff's attitudes to the use of coercion may also influence their willingness to engage in professional development projects aimed at reducing use of coercion. This study systematically reviews the existing evidence related to the measurement properties of the SACS in papers published since the publication of SACS in 2008.MethodsSeven databases were searched for studies published until October 2021 assessing the measurement properties of SACS or using SACS. All original studies reporting data relevant for the assessment of measurement properties of the SACS were eligible for inclusion. The methodological quality of the studies was assessed and rated using the COnsensus-based Standard for the selection of health Measurement INstruments (COSMIN).ResultsOf the 81 identified publications, 13 studies with a total of 2,675 respondents met the inclusion criteria. Most studies reported data on structural validity and internal consistency, with high methodological quality, but there were almost no data on any other measurement properties.ConclusionWe found evidence for adequate structural validity and internal consistency of the SACS, while other important measurement properties were not addressed in any of the reviewed studies. Caution is needed when interpreting results of the SACS in terms of aspects such as reliability, criterion validity and measurement error. The relationship between staff attitudes to coercion and the actual use of coercion also remains unclear and needs to be further investigated.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/, identifier: CRD42021239284.
White Matter Tracts Associated With Deep Brain Stimulation Targets in Major Depressive Disorder: A Systematic Review
Authors: Yu Qun , Guo Xinxia , Zhu Zhoule , Feng Chen , Jiang Hongjie , Zheng Zhe , Zhang Jianmin , Zhu Junming , Wu Hemmings 
Published: April 2022

BackgroundDeep brain stimulation (DBS) has been proposed as a last-resort treatment for major depressive disorder (MDD) and has shown potential antidepressant effects in multiple clinical trials. However, the clinical effects of DBS for MDD are inconsistent and suboptimal, with 30–70% responder rates. The currently used DBS targets for MDD are not individualized, which may account for suboptimal effect.ObjectiveWe aim to review and summarize currently used DBS targets for MDD and relevant diffusion tensor imaging (DTI) studies.MethodsA literature search of the currently used DBS targets for MDD, including clinical trials, case reports and anatomy, was performed. We also performed a literature search on DTI studies in MDD.ResultsA total of 95 studies are eligible for our review, including 51 DBS studies, and 44 DTI studies. There are 7 brain structures targeted for MDD DBS, and 9 white matter tracts with microstructural abnormalities reported in MDD. These DBS targets modulate different brain regions implicated in distinguished dysfunctional brain circuits, consistent with DTI findings in MDD.ConclusionsIn this review, we propose a taxonomy of DBS targets for MDD. These results imply that clinical characteristics and white matter tracts abnormalities may serve as valuable supplements in future personalized DBS for MDD.
Long-Term Real-World Effectiveness of Aripiprazole Once-Monthly. Treatment Persistence and Its Correlates in the Italian and Spanish Clinical Practice: A Pooled Analysis
Authors: Olivares José Manuel , Fagiolini Andrea 
Published: April 2022

BackgroundOne of the most significant risk factors for relapse and hospitalization in schizophrenia is non-adherence to antipsychotic medications, very common in patients with schizophrenia. The aim of this analysis was to evaluate the treatment persistence to aripiprazole once-monthly (AOM) and the factors affecting it in the pooled population of two similar studies performed previously in two different European countries.MethodsPooled analysis of two non-interventional, retrospective, patient record-based studies: DOMINO and PROSIGO. Both analyzed treatment persistence after starting AOM treatment in the real-world setting. The primary variable was persistence with AOM treatment during the first 6 months after treatment initiation. A multivariate Cox regression model was used to evaluate the influence of several baseline characteristics on the persistence.ResultsThe study population comprised 352 patients included in the two studies, DOMINO (n = 261) and PROSIGO (n = 91). The overall persistence with AOM treatment at the end of the 6-month observation period was 82.4%. The multivariate analysis showed that patients with “secondary school” level of education present a 67.4% lower risk of discontinuation within 6 months after AOM initiation when compared with “no/compulsory education patients” (p = 0.024). In addition, patients with an occupation present a 62.7% lower risk of discontinuation when compared with unemployed patients (p = 0.023). Regarding clinical history, patients with a Clinical Global Impression—Severity scale (CGI-S) score ≤3 present a 78.1% lower risk of discontinuation when compared with patients with a CGI-S score ≥6 (p = 0.044), while patients with a time since schizophrenia diagnosis ≤8.4 years present a 52.9% lower risk of discontinuation when compared with the rest of patients (p = 0.039).ConclusionThe AOM persistence rate observed in this study was 82.4%, which was higher than that reported in clinical trials, aligned with other real-life studies and higher than reported for other long-acting injectable antipsychotics. The persistence rate was high in complex patients, although patients with higher level of education, active occupation, lower initial CGI-S score and shorter time since the diagnosis of schizophrenia appear to be more likely to remain persistent with AOM during the 6 months after initiation.
Screening for Autism Spectrum Disorder in Toddlers During the 18- and 24-Month Well-Child Visits
Authors: Zhang Ying , Zhou Zhaoe , Xu Qiong , Li Huiping , Lv Yujing , Zhu Guowei , Dong Ping , Li Dongyun , Wang Yi , Tang Xinrui , Xu Xiu 
Published: April 2022

ObjectiveEarly screening contributes to the early detection of children with autism spectrum disorder (ASD). We conducted a longitudinal ASD screening study in a large community setting. The study was designed to investigate the diagnostic rate of ASD screening and determine the effectiveness of ASD screening model in a community-based sample.MethodsWe enrolled children who attended 18- and 24-month well-child care visits in Shanghai Xuhui District. Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT-R/F) and Binomial Observation Test (BOT) were selected as screening instruments. Screen-positive children were referred to a tertiary diagnostic center for comprehensive ASD diagnostic evaluation. Screen-negative children received well-child checkups and follow-up every 3–6 months until age three and were referred if they were suspected of having ASD.ResultsA total of 11,190 toddlers were screened, and 36 screen-positive toddlers were diagnosed with ASD. The mean age at diagnosis for these children was 23.1 ± 4.55 months, diagnosed 20 months earlier than ASD children not screened. The diagnostic rate of ASD was 0.32% (95% CI: 0.23–0.45%) in this community-based sample. In addition, 12 screen-negative children were diagnosed with ASD during subsequent well-child visit and follow-up. The average diagnostic rate of ASD rose to 0.43% (95% CI: 0.32–0.57%) when toddlers were followed up to 3 years old. The positive predictive values (PPVs) of M-CHAT-R/F, M-CHAT-R high risk, and BOT for ASD were 0.31, 0.43, and 0.38 respectively.ConclusionOur findings provide reliable data for estimating the rate of ASD detection and identifying the validity of community-based screening model. M-CHAT-R/F combined with BOT can be an effective tool for early detection of ASD. This community-based screening model is worth replicating.
How to “Start Small and Just Keep Moving Forward”: Mixed Methods Results From a Stepped-Wedge Trial to Support Evidence-Based Processes in Local Health Departments
Authors: Jacob Rebekah R. , Parks Renee G. , Allen Peg , Mazzucca Stephanie , Yan Yan , Kang Sarah , Dekker Debra , Brownson Ross C. 
Published: April 2022

BackgroundLocal health departments (LHDs) in the United States are charged with preventing disease and promoting health in their respective communities. Understanding and addressing what supports LHD's need to foster a climate and culture supportive of evidence-based decision making (EBDM) processes can enhance delivery of effective practices and services.MethodsWe employed a stepped-wedge trial design to test staggered delivery of implementation supports in 12 LHDs (Missouri, USA) to expand capacity for EBDM processes. The intervention was an in-person training in EBDM and continued support by the research team over 24 months (March 2018–February 2020). We used a mixed-methods approach to evaluate: (1) individuals' EBDM skills, (2) organizational supports for EBDM, and (3) administered evidence-based interventions. LHD staff completed a quantitative survey at 4 time points measuring their EBDM skills, organizational supports, and evidence-based interventions. We selected 4 LHDs with high contact and engagement during the intervention period to interview staff (n = 17) about facilitators and barriers to EBDM. We used mixed-effects linear regression to examine quantitative survey outcomes. Interviews were transcribed verbatim and coded through a dual independent process.ResultsOverall, 519 LHD staff were eligible and invited to complete quantitative surveys during control periods and 593 during intervention (365 unique individuals). A total of 434 completed during control and 492 during intervention (83.6 and 83.0% response, respectively). In both trial modes, half the participants had at least a master's degree (49.7–51.7%) and most were female (82.1–83.8%). No significant intervention effects were found in EBDM skills or in implementing evidence-based interventions. Two organizational supports scores decreased in intervention vs. control periods: awareness (−0.14, 95% CI −0.26 to −0.01, p &lt; 0.05) and climate cultivation (−0.14, 95% CI −0.27 to −0.02, p &lt; 0.05) but improved over time among all participants. Interviewees noted staff turnover, limited time, resources and momentum as challenges to continue EBDM work. Setting expectations, programmatic reviews, and pre-existing practices were seen as facilitators.ConclusionsChallenges (e.g., turnover, resources) may disrupt LHDs' abilities to fully embed organizational processes which support EBDM. This study and related literature provides understanding on how best to support LHDs in building capacity to use and sustain evidence-based practices.
Effective Teaching Behaviors of Clinical Nursing Teachers: A Qualitative Meta-Synthesis
Authors: Zhang Jian , Zhou Fenhua , Jiang Jinxia , Duan Xia , Yang Xin 
Published: April 2022

ObjectivesTo identify, appraise, and synthesize the available evidence exploring the effective teaching behaviors of clinical nursing teachers.DesignThe Joanna Briggs Institute (JBI) guidelines were followed, and a meta-synthesis was conducted.Review MethodsFollowing databases were searched for relevant qualitative studies published in English and reporting primary data analysis, including experiences and perceptions of nursing students: PubMed, EBSCOhost, OVID, etc. Qualitative Assessment and Review Instrument were used to pool the qualitative research findings. Through the repeated reading of the original literature, the similar findings were combined and sorted into new categories, and then summarized into different synthesized themes.ResultsA total of nine articles were included. The review process produced 29 subcategories that were aggregated into seven categories. The categories generated three synthesized findings: good teaching literacy, solid professional competence, and harmonious faculty-student relationship.ConclusionsThe effective teaching behaviors of clinical nursing teachers are the driving force for the progress and growth of nursing students. In order to improve the effectiveness of clinical nursing teaching, nursing teachers should be fully aware of effective teaching behaviors for nursing students to master nursing theories and skills.
Identifying Core Functions of an Evidence-Based Intervention to Improve Cancer Care Quality in Rural Hospitals
Authors: Wahlen Madison M. , Schroeder Mary C. , Johnson Erin C. , Lizarraga Ingrid M. , Engelbart Jacklyn M. , Tatman David J. , Wagi Cheyenne , Charlton Mary E. , Birken Sarah A. 
Published: April 2022

BackgroundRural patients experience worse cancer survival outcomes than urban patients despite similar incidence rates, due in part to significant barriers to accessing quality cancer care. Community hospitals in non-metropolitan/rural areas play a crucial role in providing care to patients who desire and are able to receive care locally. However, rural community hospitals typically face challenges to providing comprehensive care due to lack of resources. The University of Kentucky's Markey Cancer Center Affiliate Network (MCCAN) is an effective complex, multi-level intervention, improving cancer care in rural/under-resourced hospitals by supporting them in achieving American College of Surgeons Commission on Cancer (CoC) standards. With the long-term goal of adapting MCCAN for other rural contexts, we aimed to identify MCCAN's core functions (i.e., the components key to the intervention's effectiveness/implementation) using theory-driven qualitative data research methods.MethodsWe conducted eight semi-structured virtual interviews with administrators, coordinators, clinicians, and certified tumor registrars from five MCCAN affiliate hospitals that were not CoC-accredited prior to joining MCCAN. Study team members coded interview transcripts and identified themes related to how MCCAN engaged affiliate sites in improving care quality (intervention functions) and implementing CoC standards (implementation functions) and analyzed themes to identify core functions. We then mapped core functions onto existing theories of change and presented the functions to MCCAN leadership to confirm validity and completeness of the functions.ResultsIntervention core functions included: providing expertise and templates for achieving accreditation, establishing a culture of quality-improvement among affiliates, and fostering a shared goal of quality care. Implementation core functions included: fostering a sense of community and partnership, building trust between affiliates and Markey, providing information and resources to increase feasibility and acceptability of meeting CoC standards, and mentoring and empowering administrators and clinicians to champion implementation.ConclusionThe MCCAN intervention presents a more equitable strategy of extending the resources and expertise of large cancer centers to assist smaller community hospitals in achieving evidence-based standards for cancer care. Using rigorous qualitative methods, we distilled this intervention into its core functions, positioning us (and others) to adapt the MCCAN intervention to address cancer disparities in other rural contexts.