bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving mental health literacy using web- or app-based interventions: A scoping review
Authors: Tian Lidan , Wong Eliza Laiyi , Dong Dong , Cheung Annie Wailing , Chan Sherry Kit-wa , Cao Yuan , Mok Phoenix K.H. , Zhou Lingming , Xu Richard Huan 
Published: April 2024

Background Given the rapid advancement in technology, the Internet has grown to play a significant role in the field of healthcare. Individuals can now access a profusion of easily available materials for self-management of their health. The purpose of this review is to describe Web/App-based interventions that are primarily or secondarily designed to improve mental health literacy (MHL) and to investigate the effectiveness of online interventions for improving mental health. Materials and Method A scoping review was conducted by searching five databases: PsycINFO, EMBASE, PubMed, CINAHL, and Web of Science. The search was limited to peer-reviewed journals published in English between 2000 and 2022. Studies focusing on enhancements of MHL or its constituent components were included. Results Twenty-four studies met the inclusion criteria. The interventions primarily targeted patients or individuals exhibiting symptoms of mental disorders, with a higher representation of female participants. All the interventions yielded positive outcomes. The included studies were categorized according to three themes: knowledge, attitude, and self-care skills. Although numerous studies have focused on knowledge improvement, research on interventions targeting self-care skills is scarce. Furthermore, existing literature on knowledge enhancement is limited in terms of the coverage of risk factors. Conclusion This review indicates gaps in web/app interventions including limited evidence on risk factors, inconsistent help-seeking awareness, and inadequate self-care skills training. Further research is critically needed to address these deficiencies and promote comprehensive MHL.
Examining the Impact of Burnout on Hospital Nurses Engaged in Shift Work: Insights From a Nationwide Cross-Sectional Study in Malaysia
Authors: Lee Kun Yun , Zakaria Nursyahda , Zakaria Norhaniza 
Published: April 2024

Introduction Shift workers follow nonstandard schedules that encompass overnight duty, rotational timetables, or permanent night work which can lead to misaligned core circadian physiology. Shift work has been associated with sleep deprivation, burnout, and metabolic syndrome among healthcare workers. Objective We aimed to examine if shift nurses working in Malaysian public hospitals are more predisposed to burnout and to determine the predictors of burnout in this profession. Method This national-level cross-sectional study was conducted among nurses in public hospitals in Malaysia between July and November 2019 using self-administered questionnaires. Maslach Burnout Inventory-Human Service Survey was used to determine burnout. Multistage stratified sampling was used to recruit nurses from 32 hospitals. A complex sampling analysis was performed. Results Among the 1,491 hospital nurses, more than half (70.8%) of them followed shift work schedules. Shift nurses were mostly below 40 years old (80.9%), diploma holders (87.2%), and of lower professional grades (64.2%). The prevalence of overall burnout, as well as the domains of emotional exhaustion and depersonalization, was higher among shift nurses (27.1%) as compared to their counterparts (22.4%). Nurses who performed more than six night shifts per month were 2.6 times more predisposed to burnout. Conclusion Shift work is integral to ensure round-the-clock nursing care for patients. However, nurses are increasingly faced with more shift duties due to heavy patient loads and staff shortages. Modified work schedules must be implemented to provide sufficient rest time for shift nurses to mitigate burnout. Additionally, proper human resource projection and distribution are imperative to prevent worsening burnout.
Integrative metagenomic analysis reveals distinct gut microbial signatures related to obesity
Authors: Hu Xinliang , Yu Chong , He Yuting , Zhu Songling , Wang Shuang , Xu Ziqiong , You Shaohui , Jiao Yanlei , Liu Shu-Lin , Bao Hongxia 
Published: April 2024

AbstractObesity is a metabolic disorder closely associated with profound alterations in gut microbial composition. However, the dynamics of species composition and functional changes in the gut microbiome in obesity remain to be comprehensively investigated. In this study, we conducted a meta-analysis of metagenomic sequencing data from both obese and non-obese individuals across multiple cohorts, totaling 1351 fecal metagenomes. Our results demonstrate a significant decrease in both the richness and diversity of the gut bacteriome and virome in obese patients. We identified 38 bacterial species including Eubacterium sp. CAG:274, Ruminococcus gnavus, Eubacterium eligens and Akkermansia muciniphila, and 1 archaeal species, Methanobrevibacter smithii, that were significantly altered in obesity. Additionally, we observed altered abundance of five viral families: Mesyanzhinovviridae, Chaseviridae, Salasmaviridae, Drexlerviridae, and Casjensviridae. Functional analysis of the gut microbiome indicated distinct signatures associated to obesity and identified Ruminococcus gnavus as the primary driver for function enrichment in obesity, and Methanobrevibacter smithii, Akkermansia muciniphila, Ruminococcus bicirculans, and Eubacterium siraeum as functional drivers in the healthy control group. Additionally, our results suggest that antibiotic resistance genes and bacterial virulence factors may influence the development of obesity. Finally, we demonstrated that gut vOTUs achieved a diagnostic accuracy with an optimal area under the curve of 0.766 for distinguishing obesity from healthy controls. Our findings offer comprehensive and generalizable insights into the gut bacteriome and virome features associated with obesity, with the potential to guide the development of microbiome-based diagnostics.
Community stigma, victimization, and coping strategies among gay, bisexual, and other cis-gender men who have sex with men in slum communities in Ghana. BSGH-003
Authors: Shamrock Osman Wumpini , Abu-Ba’are Gamji Rabiu , Zigah Edem Yaw , Dakpui Henry Delali , Adjaka Gideon , LeBlanc Natalie M. , Alio Amina P. , Nelson LaRon 
Published: April 2024

Abstract
Background
Gay, bisexual, and cis-gender men who have sex with men (GBMSM) face severe consequences, especially within stigmatized environments. However, very little is known about the experiences of GBMSM living in slums in SSA and Ghana. This study investigates the experiences of stigma, victimization, and coping strategies and proposes some interventional approaches for combating stigma facing GBMSM in slum communities.

Methods
We engaged GBMSM living in slums in two major Ghanaian cities. We used a time-location sampling and collected data through in-depth individual interviews. Two major themes emerged from the study: (1) insecurities and criminalization of GBMSM activity, and (2) GBMSM coping strategies.

Results
Findings show GBMSM experienced negative attitudes from the community due to their sexual behavior/orientation. GBMSM also developed coping strategies to avert negative experiences, such as hiding their identities/behavior, avoiding gender non-conforming men, and having relationships with persons outside their communities.

Conclusion
We propose interventions such as HIV Education, Empathy, Empowerment, Acceptance, and Commitment Therapy as possible measures to improve the experiences of GBMSM living in Ghanaian slum communities.
Digital mental health interventions as stand-alone vs. augmented treatment as usual
Authors: Nelson Benjamin W. , Peiper Nicholas C. , Forman-Hoffman Valerie L. 
Published: April 2024

Abstract
Background
Smartphone-based digital mental health interventions (DMHI) have been described as a purported solution to meet growing healthcare demands and lack of providers, but studies often don’t account for whether patients are concurrently in another treatment modality.

Methods
This preregistered quasi-experimental intent-to-treat study with 354 patients enrolled in a therapist-supported DMHI examined the treatment effectiveness of the Meru Health Program (MHP) as a stand-alone treatment as compared to the MHP in combination with any other form of treatment, including (1) in-person therapy, (2) psychotropic medication use, and (3) in-person therapy and psychotropic medication use.

Results
Patients with higher baseline depressive and anxiety symptoms were more likely to self-select into multiple forms of treatment, an effect driven by patients in the MHP as adjunctive treatment to in-person therapy and psychotropic medication. Patients in combined treatments had significantly higher depressive and anxiety symptoms across treatment, but all treatment groups had similar decreasing depressive and anxiety symptom trajectories. Exploratory analyses revealed differential treatment outcomes across treatment combinations. Patients in the MHP in combination with another treatment had higher rates of major depressive episodes, psychiatric hospitalization, and attempted death by suicide at baseline.

Conclusions
Patients with higher depressive and anxiety symptoms tend to self-select into using DMHI in addition to more traditional types of treatment, rather than as a stand-alone intervention, and have more severe clinical characteristics. The use the MHP alone was associated with improvement at a similar rate to those with higher baseline symptoms who are in traditional treatments and use MHP adjunctively.
Unveilling the hidden skillset: exploring non-technical skills in surgical education across spanish medical universities
Authors: B Oves-Suarez , JA García-Marín , JL Aguayo-Albasini , V Soria-Aledo 
Published: April 2024

Abstract
Background
Non-Technical Skills (NTS) are cognitive, social, and personal resource skills that are crucial in complex and high-risk environments. The aims of our research are to determine the prevalence and content of NTS in the surgical rotation teaching guides of the Medicine Degree programs in Spanish Universities, to identify the most prevalent types and subtypes of NTS, and to analyze factors associated with the prevalence of surgical NTS in Medical Schools in Spain.

Methods
Descriptive observational cross-sectional study involving the identification and collection of competencies outlined in the surgical rotation teaching guides of Spanish Medical Schools. Information regarding university performance was obtained from the Foundation for Knowledge and Development Ranking webpage. The “Non-Technical Skills for Surgeons” (NOTSS) system was used to classify each competency in the teaching guides as NTS (categories and elements) and technical skills. Disagreements were resolved through group consensus.

Results
A total of 1,846 competencies were analyzed in surgical rotations of the Medicine Degree programs across 40 Spanish Universities, with 99 competencies identified as surgical NTS, accounting for 5% of the total. The most frequently identified surgical NTS were “Decision Making” (46%), “Communication & Teamwork” (25%), and “Leadership” (19%). Additionally, several NOTSS were not identified in any institution. Public universities and those including a greater number of competencies had a higher rate of surgical NTS competencies, and we did not find a correlation between surgical NTS competencies and quality indices of University Centers.

Conclusions
There is a limited presence of surgical NTS in the educational plans of Spanish Universities.
The COVID-19 pandemic and OBGYN residency training: We have a problem and it’s not just masks
Authors: Kraus Alexandria C. , Bui Anthony , Malloy Kimberly , Morse Jessica , Young Omar M. 
Published: April 2024

Abstract
Background
The COVID-19 pandemic has left no one untouched. Resident trainees have been driven to reconsider virtually every component of their daily lives. The purpose of this pilot study is to evaluate the impact of the COVID-19 pandemic on Obstetrics and Gynecology (OBGYN) residency training and education.

Methods
A cross-sectional pilot study was conducted between 2/2022 and 5/2022. A survey was created and distributed to OBGYN residents. The survey queried the effects of the pandemic on OBGYN residents’ procedure skills training and mental health.

Results
A total of 95 OBGYN residents across programs affiliated with each American College of Obstetricians and Gynecologists (ACOG) district participated in the survey. Among them, just over half (n = 52, 55%) self-identified as under-represented minorities. A significant majority, 80% (n = 81), felt their gynecological training was inadequate, with 70% of fourth-year residents expressing a lack of confidence in their ability to independently practice gynecology after graduation. This lack of confidence among fourth-year residents suggests a notable disparity in readiness for independent gynecological practice, linked to meeting ACGME requirements before completing their residency (p = 0.013). Among the residents who reported a negative impact of the pandemic on their mental health (n = 76, 80%), about 40% (n = 31) had contemplated self-harm or knew a colleague who considered or attempted suicide (p < 0.001). This issue was especially pronounced in residents experiencing burnout (n = 44, 46%), as nearly half (n = 19, 43%) reported suicidal thoughts or knew someone in their program who had such thoughts or engaged in self-harm (p = 0.048).

Conclusions
Residents expressed concerns about reduced hands-on gynecological training and doubts about their readiness for independent practice post-residency, highlighting the need for enhanced support through mentorship and revised training curriculums. Additionally, despite the availability of mental health resources to address pandemic-induced burnout, their underuse suggests a need for more accessible time for residents to use at their discretion and flexible training schedules that encourage mental health support resource utilization.
Creation of a sustainable longitudinal women in Leadership Development (WILD) curriculum focused on graduate medical education trainees
Authors: McGourty Colleen A. , Castillo Francine , Donzelli Grace , Keenan Bridget P. , Gilbreth Margaret , Santhosh Lekshmi 
Published: April 2024

Abstract
Background
Although women comprise the majority of medical students, gender disparities emerge early and remain at the highest levels of academia. Most leadership courses focus on faculty or students rather than women graduate medical education (GME) trainees.

Aim
To promote the leadership development of women GME trainees through empowerment, community building, networking and mentorship, and concrete leadership skills development.

Setting
University of California, San Francisco.

Participants
359 women residents and fellows from 41 specialties.

Program description
A longitudinal curriculum of monthly workshops designed to support leadership development for women trainees. Sessions and learning objectives were designed via needs assessments and literature review.

Program evaluation
A mixed-methods evaluation was performed for 3 years of WILD programming. Quantitative surveys assessed participant satisfaction and fulfillment of learning objectives. Structured interview questions were asked in focus groups and analyzed qualitatively.

Discussion
23% of invited participants attended at least one session from 2018 to 2021, despite challenging trainee schedules. Surveys demonstrated acceptability and satisfaction of all sessions, and learning objectives were met at 100% of matched sessions. Focus groups highlighted positive impact in domains of community-building, leadership skills, mentorship, and empowerment. This program has demonstrated WILD’s longitudinal sustainability and impact for women trainees.
Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer
Authors: Kulkarni Chaitanya , Quraishi Aadam , Raparthi Mohan , Shabaz Mohammad , Khan Muhammad Attique , Varma Raj A. , Keshta Ismail , Soni Mukesh , Byeon Haewon 
Published: April 2024

AbstractEmerging from the convergence of digital twin technology and the metaverse, consumer health (MCH) is witnessing a transformative shift. The amalgamation of bioinformatics with healthcare Big Data has ushered in a new era of disease prediction models that harness comprehensive medical data, enabling the anticipation of illnesses even before the onset of symptoms. In this model, deep neural networks stand out because they improve accuracy remarkably by increasing network depth and making weight changes using gradient descent. Nonetheless, traditional methods face their own set of challenges, including the issues of gradient instability and slow training. In this case, the Broad Learning System (BLS) stands out as a good alternative. It gets around the problems with gradient descent and lets you quickly rebuild a model through incremental learning. One problem with BLS is that it has trouble extracting complex features from complex medical data. This makes it less useful in a wide range of healthcare situations. In response to these challenges, we introduce DAE-BLS, a novel hybrid model that marries Denoising AutoEncoder (DAE) noise reduction with the efficiency of BLS. This hybrid approach excels in robust feature extraction, particularly within the intricate and multifaceted world of medical data. Validation using diverse datasets yields impressive results, with accuracies reaching as high as 98.50%. DAE-BLS’s ability to rapidly adapt through incremental learning holds great promise for accurate and agile disease prediction, especially within the complex and dynamic healthcare scenarios of today.
Barriers and facilitators to guideline for the management of pediatric off-label use of drugs in China: a qualitative descriptive study
Authors: Meng Min , Hu Jiale , Liu Xiao , Tian Min , Lei Wenjuan , Liu Enmei , Han Zhu , Li Qiu , Chen Yaolong 
Published: April 2024

Abstract
Background
Despite being a global public health concern, there is a research gap in analyzing implementation strategies for managing off-label drug use in children. This study aims to understand professional health managers’ perspectives on implementing the Guideline in hospitals and determine the Guideline’s implementation facilitators and barriers.

Methods
Pediatric directors, pharmacy directors, and medical department directors from secondary and tertiary hospitals across the country were recruited for online interviews. The interviews were performed between June 27 and August 25, 2022. The Consolidated Framework for Implementation Research (CFIR) was adopted for data collection, data analysis, and findings interpretation to implement interventions across healthcare settings.

Results
Individual interviews were conducted with 28 healthcare professionals from all over the Chinese mainland. Key stakeholders in implementing the Guideline for the Management of Pediatric Off-Label Use of Drugs in China (2021) were interviewed to identify 57 influencing factors, including 27 facilitators, 29 barriers, and one neutral factor, based on the CFIR framework. The study revealed the complexity of the factors influencing managing children’s off-label medication use. A lack of policy incentives was the key obstacle in external settings. The communication barrier between pharmacists and physicians was the most critical internal barrier.

Conclusion
To our knowledge, this study significantly reduces the implementation gap in managing children’s off-label drug use. We provided a reference for the standardized management of children’s off-label use of drugs.
Nearest advocate: a novel event-based time delay estimation algorithm for multi-sensor time-series data synchronization
Authors: Schranz Christoph , Mayr Sebastian , Bernhart Severin , Halmich Christina 
Published: April 2024

AbstractEstimating time delays in event-based time-series is a crucial task in signal processing as it affects the data quality and is a prerequisite for many subsequent analyses. In particular, data acquired from wearable devices often suffer from a low timestamp precision or clock drift. Current state-of-the-art methods such as Pearson Cross-Correlation are sensitive to typical data quality issues, e.g. misdetected events, and Dynamic Time Warping is computationally expensive. To overcome these limitations, we propose Nearest Advocate, a novel event-based time delay estimation method for multi-sensor time-series data synchronisation. We evaluate its performance using three independent datasets acquired from wearable sensor systems, demonstrating its superior precision, particularly for short, noisy time-series with missing events. Additionally, we introduce a sparse variant that balances precision and runtime. Finally, we demonstrate how Nearest Advocate can be used to solve the problem of linear as well as non-linear clock drifts. Thus, Nearest Advocate offers a promising opportunity for time delay estimation and post-hoc synchronization for challenging datasets across various applications.
Innovation strategy and firm competitiveness: a systematic literature review
Authors: Agazu Biniam Getnet , Kero Chalchissa Amentie 
Published: April 2024

AbstractThis systematic review aims to review the effect of innovation strategy on firm competitiveness and to establish a theoretical background for future studies in the innovation and firm competitiveness literature. A total of 40 studies covering the innovation strategy and firm competitiveness were from 2015 to 2023 and analysed via a PRISMA method using the descriptive content analysis. These studies were found in the Scopus, Web of Science, PubMed, and Taylor and Francis databases. The findings from this review show that a large majority of the reviewed studies has concluded that innovation strategy have a positive relationship and effect between firm competitiveness. This study offers the chance to empirically examine innovation strategy and firm competitiveness from various angles. Despite a rapid recent increase in publications and special issue calls, many opportune research avenues within the innovation strategy and firm competitiveness field require further investigation.