bluuebunny/crossref_metadata_2025_split huggingface dataset:
Need for informed providers: exploring LA-PrEP access in focus groups with PrEP-indicated communities in Baltimore, Maryland
Authors: Kaptchuk Rose Pollard , Thomas Amber M. , Dhir Amit “Mickey” , Solomon Sunil S. , Clipman Steven J. 
Published: May 2024

Abstract
Background
The approval of long-acting pre-exposure prophylaxis PrEP (LA-PrEP) in the United States brings opportunities to overcome barriers of oral PrEP, particularly among sexual and gender minority communities who bear a higher HIV burden. Little is known about real-time decision-making among potential PrEP users of LA-PrEP post-licensure.

Methods
We held focus group discussions with people assigned male at birth who have sex with men in Baltimore, Maryland to explore decision-making, values, and priorities surrounding PrEP usage. A sexual and gender minority-affirming health center that provides PrEP services supported recruitment. Discussions included a pile-sorting activity and were audio-recorded. Recordings were transcribed and analyzed iteratively, combining an inductive and deductive approach.

Results
We held five focus groups from Jan-June 2023 with 23 participants (21 cisgender men who have sex with men, two transgender women who have sex with men; mean age 37). Among participants, 21 were on oral PrEP, one was on injectable PrEP, and one had never taken PrEP. Most had never heard about LA-PrEP. When making decisions about PrEP, participants particularly valued efficacy in preventing HIV, side effects, feeling a sense of security, and ease of use. Perceptions varied between whether oral or injectable PrEP was more convenient, but participants valued the new opportunity for a choice in modality. Factors influencing PrEP access included cost, individual awareness, provider awareness, and level of comfort in a healthcare environment. Participants emphasized how few providers are informed about PrEP, placing the burden of being informed about PrEP on them. Comfort and trust in a provider superseded proximity as considerations for if and where to access PrEP.

Conclusions
There is still low awareness about LA-PrEP among sexual and gender minority communities; thus, healthcare providers have a critical role in influencing access to LA-PrEP. Despite this, providers are still vastly underinformed about PrEP and underprepared to support clients in contextualized ways. Clients are more likely to engage in care with affirming providers who offer non-judgmental conversations about sex and life experiences. Provider education in the United States is urgently needed to better support clients in choosing a PrEP modality that is right for them and supporting adherence for effective HIV prevention.
Impact of COVID-19 pandemic on food availability and affordability: an interrupted time series analysis in Ghana
Authors: Kawakatsu Yoshito , Damptey Ohene , Sitor John , Situma Ruth , Aballo Jevaise , Shetye Mrunal , Aiga Hirotsugu 
Published: May 2024

AbstractBackgroundIn Africa, approx. 675 million people were at risk of food insecurity. COVID-19 pandemic is likely to have exacerbated this situation, by damaging populations’ access to and affordability of foods. This study is aimed at estimating the impacts of the COVID-19 pandemic on availability and prices of essential food commodities at 20 large markets in Ghana.MethodsData on food availability and food retail prices collected through weekly market-level data during the period from July 2017 to September 2020 were used in this study. We performed interrupted time-series analyses and estimated the percentage increases between the observed and predicted food prices by food group and by region to assess the impact of COVID-19 pandemic on food prices.ResultsAs a result, the impact of COVID-19 on food availability was limited. However, the results of interrupted time-series analyses indicate a significant increase in overall mean food prices in Greater Accra, Eastern and Upper East regions. It was also found that mean price of starchy roots, tubers and plantains significantly increased across regions.DiscussionThe impact of COVID-19 pandemic on food availability and prices was significant but varied by food type and regions in Ghana. Continuous monitoring and responses are critical to maintain food availability and affordability.
Exploring dental professionals’ outlook on the future of dental care amidst the integration of artificial intelligence in dentistry: a pilot study in Pakistan
Authors: Qamar Wajiha , Khaleeq Nadia , Nisar Anita , Tariq Sahibzadi Fatima , Lajber Mehreen 
Published: May 2024

Abstract
Objective
The purpose of this study is to explore the perspectives, familiarity, and readiness of dental faculty members regarding the integration and application of artificial intelligence (AI) in dentistry, with a focus on the possible effects on dental education and clinical practice.

Methodology
In a mix-method cross-sectional quantitative and quantitative study conducted between June 1st and August 30th, 2023, the perspectives of faculty members from a public sector dental college in Pakistan regarding the function of AI were explored. This study used qualitative as well as quantitative techniques to analyse faculty’s viewpoints on the subject. The sample size was comprised of twenty-three faculty members. The quantitative data was analysed using descriptive statistics, while the qualitative data was analysed using theme analysis.

Results
Position-specific differences in faculty familiarity underscore the value of individualized instruction. Surprisingly few had ever come across AI concepts in their professional lives. Nevertheless, many acknowledged that AI had the potential to improve patient outcomes. The majority thought AI would improve dentistry education. Participants suggested a few dental specialties where AI could be useful.

Conclusion
The study emphasizes the significance of addressing in dental professionals’ knowledge gaps about AI. The promise of AI in dentistry calls for specialized training and teamwork between academic institutions and AI developers. Graduates of dentistry programs who use AI are better prepared to navigate shifting environments. The study highlights the positive effects of AI and the value of faculty involvement in maximizing its potential for better dental education and practice.
Children with palliative care needs – the landscape of the nordic countries
Authors: Winger Anette , Holmen Heidi , Birgisdóttir Dröfn , Lykke Camilla , Lövgren Malin , Neergaard Mette Asbjoern , Grönroos Marika , Kero Johanna , Kristinsdóttir Oddný , Pétursdóttir Ásta Bjarney , Castor Charlotte 
Published: May 2024

AbstractBackgroundTo strengthen palliative care for children in the Nordic countries, an updated status of current needs, resources, clinical services, education, and research is necessary to align and consolidate future research. A Nordic research collaboration initiative for children with palliative care needs was assembled in 2023. Building on this initiative, this paper presents an overview of pediatric palliative care (PPC) in the Nordic countries’ (a) population characteristics, (b) care models and setting of care, (c) education and training, and (d) research.MethodsThe Nordic initiative researchers collaboratively gathered and assessed available data on the characteristics of PPC within Denmark, Finland, Greenland, Iceland, Norway, the Faroe Islands, Sweden, and Åland. Data were compiled in a matrix with population characteristics, models- and setting of care, education and training, and areas of research in a Nordic context. The findings are narratively and descriptively presented, providing an overview of Nordic PPC.ResultsIn total, the Nordic child population comprises around six million children (0–19 years), of which about 41.200 are estimated to be living with a life-limiting and/or life-threatening condition. Healthcare services are provided through various care models, ranging from specialized care to homecare settings. Overall, there remain few opportunities for education and training with some exceptions. Also, Nordic research within PPC has been shown to be a growing field although much remains to be done.ConclusionThis overview is the first outline of the current PPC in Nordic countries. Although some differences remain important to acknowledge, overall, the strengths and challenges faced within PPC in the Nordic countries are comparable and call for joint action to increase evidence, services, and education to better serve the children, families, and healthcare personnel within PPC. Despite the varying structural premises for PPC, research endeavors aiming to provide evidence in this field seem increasing, timely and relevant for the Nordic countries, as well as the international context.
Experience of undergraduate nursing students participating in artificial intelligence + project task driven learning at different stages: a qualitative study
Authors: Kong Weijuan , Ning Yanhua , Ma Ting , Song Fei , Mao Yuxin , Yang Cailing , Li Xinjin , Guo Yahong , Liu Haiyan , Shi Jing , Liu Lingna 
Published: May 2024

Abstract
Background
Artificial intelligence is a growing phenomenon that will soon facilitate wide-scale changes in many professions, and is expected to play an important role in the field of medical education. This study explored the realistic feelings and experiences of nursing undergraduates participating in different stages of artificial intelligence + project task driven learning, and provide a basis for artificial intelligence participation in nursing teaching.

Methods
We conducted face-to-face semi-structured interviews with nursing undergraduates participating in Nursing Research Course which adopts artificial intelligence + project task driven learning from a medical university in Ningxia from September to November 2023, to understand their experience of using artificial intelligence for learning and the emotional changes at different stages. The interview guide included items about their personal experience and feelings of completing project tasks through dialogue with artificial intelligence, and suggestions for course content. Thematic analysis was used to analyze interview data. This study followed the COREQ checklist.

Results
According to the interview data, three themes were summarized. Undergraduate nursing students have different experiences in participating in artificial intelligence + project task driven learning at different stages, mainly manifested as diverse emotional experiences under initial knowledge deficiency, the individual growth supported by external forces during the adaptation period, and the expectations and suggestions after the birth of the results in the end period.

Conclusions
Nursing undergraduates can actively adapt to the integration of artificial intelligence into nursing teaching, dynamically observe students’ learning experience, strengthen positive guidance, and provide support for personalized teaching models, better leveraging the advantages of artificial intelligence participation in teaching.
Lower comorbidity scores and severity levels in Veterans Health Administration hospitals: a cross-sectional study
Authors: Dizon Matthew P. , Chow Adam , Ong Michael K. , Phibbs Ciaran S. , Vanneman Megan E. , Zhang Yue , Yoon Jean 
Published: May 2024

Abstract
Background
Previous studies found that documentation of comorbidities differed when Veterans received care within versus outside Veterans Health Administration (VHA). Changes to medical center funding, increased attention to performance reporting, and expansion of Clinical Documentation Improvement programs, however, may have caused coding in VHA to change.

Methods
Using repeated cross-sectional data, we compared Elixhauser-van Walraven scores and Medicare Severity Diagnosis Related Group (DRG) severity levels for Veterans’ admissions across settings and payers over time, utilizing a linkage of VHA and all-payer discharge data for 2012–2017 in seven US states. To minimize selection bias, we analyzed records for Veterans admitted to both VHA and non-VHA hospitals in the same year. Using generalized linear models, we adjusted for patient and hospital characteristics.

Results
Following adjustment, VHA admissions consistently had the lowest predicted mean comorbidity scores (4.44 (95% CI 4.34–4.55)) and lowest probability of using the most severe DRG (22.1% (95% CI 21.4%-22.8%)). In contrast, Medicare-covered admissions had the highest predicted mean comorbidity score (5.71 (95% CI 5.56–5.85)) and highest probability of using the top DRG (35.3% (95% CI 34.2%-36.4%)).

Conclusions
More effective strategies may be needed to improve VHA documentation, and current risk-adjusted comparisons should account for differences in coding intensity.
Opportunity and accessibility: an environmental scan of publicly available data repositories to address disparities in healthcare decision-making
Authors: Vinals Lydia , Radhakrishnan Amruta , Sarri Grammati 
Published: May 2024

Abstract
Background
Health disparities, starkly exposed and exacerbated by coronavirus disease 2019, pose a significant challenge to healthcare system access and health outcomes. Integrating health inequalities into health technology assessment calls for robust analytical methodologies utilizing disaggregated data to investigate and quantify the scope of these disparities. However, a comprehensive summary of population datasets that can be used for this purpose is lacking. The objective of this review was to identify publicly accessible health inequalities data repositories that are potential resources for healthcare decision-making and future health technology assessment submissions.

Methods
An environmental scan was conducted in June of 2023 of six international organizations (World Health Organization, Organisation for Economic Co-operation and Development, Eurostat, United Nations Inter-agency Group for Child Mortality Estimation, the United Nations Sustainable Development Goals, and World Bank) and 38 Organisation for Economic Co-operation and Development countries. The official websites of 42 jurisdictions, excluding non-English websites and those lacking English translations, were reviewed. Screening and data extraction were performed by two reviewers for each data repository, including health indicators, determinants of health, and health inequality metrics. The results were narratively synthesized.

Results
The search identified only a limited number of country-level health inequalities data repositories. The World Health Organization Health Inequality Data Repository emerged as the most comprehensive source of health inequality data. Some country-level data repositories, such as Canada’s Health Inequality Data Tool and England’s Health Inequality Dashboard, offered rich local insights into determinants of health and numerous health status indicators, including mortality. Data repositories predominantly focused on determinants of health such as age, sex, social deprivation, and geography.

Conclusion
Interactive interfaces featuring data exploration and visualization options across diverse patient populations can serve as valuable tools to address health disparities. The data they provide may help inform complex analytical methodologies that integrate health inequality considerations into healthcare decision-making. This may include assessing the feasibility of transporting health inequality data across borders.
MiR-146a reduces fibrosis after glaucoma filtration surgery in rats
Authors: Han Ruiqi , Zhong Huimin , Zhang Yang , Yu Huan , Zhang Yumeng , Huang Shouyue , Yang Zijian , Zhong Yisheng 
Published: May 2024

Abstract
Purpose
To explore the impact of microRNA 146a (miR-146a) and the underlying mechanisms in profibrotic changes following glaucoma filtering surgery (GFS) in rats and stimulation by transforming growth factor (TGF)-β1 in rat Tenon’s capsule fibroblasts.

Methods
Cultured rat Tenon’s capsule fibroblasts were treated with TGF-β1 and analyzed with microarrays for mRNA profiling to validate miR-146a as the target. The Tenon’s capsule fibroblasts were then respectively treated with lentivirus-mediated transfection of miR-146a mimic or inhibitor following TGF-β1 stimulation in vitro, while GFS was performed in rat eyes with respective intraoperative administration of miR-146a, mitomycin C (MMC), or 5-fluorouracil (5-FU) in vivo. Profibrotic genes expression levels (fibronectin, collagen Iα, NF-KB, IL-1β, TNF-α, SMAD4, and α-smooth muscle actin) were determined through qPCR, Western blotting, immunofluorescence staining and/or histochemical analysis in vitro and in vivo. SMAD4 targeting siRNA was further used to treat the fibroblasts in combination with miR-146a intervention to confirm its role in underlying mechanisms.

Results
Upregulation of miR-146a reduced the proliferation rate and profibrotic changes of rat Tenon’s capsule fibroblasts induced by TGF-β1 in vitro, and mitigated subconjunctival fibrosis to extend filtering blebs survival after GFS in vivo, where miR-146a decreased expression levels of NF-KB-SMAD4-related genes, such as fibronectin, collagen Iα, NF-KB, IL-1β, TNF-α, SMAD4, and α-smooth muscle actin(α-SMA). Additionally, SMAD4 is a key target gene in the process of miR-146a inhibiting fibrosis.

Conclusions
MiR-146a effectively reduced TGF-β1-induced fibrosis in rat Tenon’s capsule fibroblasts in vitro and in vivo, potentially through the NF-KB-SMAD4 signaling pathway. MiR-146a shows promise as a novel therapeutic target for preventing fibrosis and improving the success rate of GFS.
Deep learning based digital pathology for predicting treatment response to first-line PD-1 blockade in advanced gastric cancer
Authors: Liu Yifan , Chen Wei , Ruan Ruiwen , Zhang Zhimei , Wang Zhixiong , Guan Tianpei , Lin Qi , Tang Wei , Deng Jun , Wang Zhao , Li Guanghua 
Published: May 2024

Abstract
Background
Advanced unresectable gastric cancer (GC) patients were previously treated with chemotherapy alone as the first-line therapy. However, with the Food and Drug Administration’s (FDA) 2022 approval of programmed cell death protein 1 (PD-1) inhibitor combined with chemotherapy as the first-li ne treatment for advanced unresectable GC, patients have significantly benefited. However, the significant costs and potential adverse effects necessitate precise patient selection. In recent years, the advent of deep learning (DL) has revolutionized the medical field, particularly in predicting tumor treatment responses. Our study utilizes DL to analyze pathological images, aiming to predict first-line PD-1 combined chemotherapy response for advanced-stage GC.

Methods
In this multicenter retrospective analysis, Hematoxylin and Eosin (H&E)-stained slides were collected from advanced GC patients across four medical centers. Treatment response was evaluated according to iRECIST 1.1 criteria after a comprehensive first-line PD-1 immunotherapy combined with chemotherapy. Three DL models were employed in an ensemble approach to create the immune checkpoint inhibitors Response Score (ICIsRS) as a novel histopathological biomarker derived from Whole Slide Images (WSIs).

Results
Analyzing 148,181 patches from 313 WSIs of 264 advanced GC patients, the ensemble model exhibited superior predictive accuracy, leading to the creation of ICIsNet. The model demonstrated robust performance across four testing datasets, achieving AUC values of 0.92, 0.95, 0.96, and 1 respectively. The boxplot, constructed from the ICIsRS, reveals statistically significant disparities between the well response and poor response (all p-values < = 0.001).

Conclusion
ICIsRS, a DL-derived biomarker from WSIs, effectively predicts advanced GC patients’ responses to PD-1 combined chemotherapy, offering a novel approach for personalized treatment planning and allowing for more individualized and potentially effective treatment strategies based on a patient’s unique response situations.
Global existence and attractivity for Riemann-Liouville fractional semilinear evolution equations involving weakly singular integral inequalities
Authors: Jiang Caijing , Xu Keji 
Published: May 2024

AbstractIn this paper, we obtain several results on the global existence, uniqueness and attractivity for fractional evolution equations involving the Riemann-Liouville type by exploiting some results on weakly singular integral inequalities in Banach spaces. Some boundedness conditions of the nonlinear term are considered to obtain the main results that generalize and improve some well-known works.
Australian public perspectives on genomic newborn screening: which conditions should be included?
Authors: Lynch Fiona , Best Stephanie , Gaff Clara , Downie Lilian , Archibald Alison D. , Gyngell Christopher , Goranitis Ilias , Peters Riccarda , Savulescu Julian , Lunke Sebastian , Stark Zornitza , Vears Danya F. 
Published: May 2024

Abstract
Background
Implementing genomic sequencing into newborn screening programs allows for significant expansion in the number and scope of conditions detected. We sought to explore public preferences and perspectives on which conditions to include in genomic newborn screening (gNBS).

Methods
We recruited English-speaking members of the Australian public over 18 years of age, using social media, and invited them to participate in online focus groups.

Results
Seventy-five members of the public aged 23–72 participated in one of fifteen focus groups. Participants agreed that if prioritisation of conditions was necessary, childhood-onset conditions were more important to include than later-onset conditions. Despite the purpose of the focus groups being to elicit public preferences, participants wanted to defer to others, such as health professionals or those with a lived experience of each condition, to make decisions about which conditions to include. Many participants saw benefit in including conditions with no available treatment. Participants agreed that gNBS should be fully publicly funded.

Conclusion
How many and which conditions are included in a gNBS program will be a complex decision requiring detailed assessment of benefits and costs alongside public and professional engagement. Our study provides support for implementing gNBS for treatable childhood-onset conditions.