bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of group antenatal care on newborns: Results of a cluster randomized control trial in Eastern Region, Ghana
Authors: Apetorgbor Veronica , Awini Elizabeth , Ghosh Bidisha , Zielinski Ruth , Amankwah Georgina , Kukula Vida A. , James Katherine , Williams John E.O. , Lori Jody R. , Moyer Cheryl A. 
Published: November 2024

Abstract
Background
Maternal recognition of neonatal danger signs following birth is a strong predictor of care-seeking for newborn illness, which increases the odds of newborn survival. However, research suggests that maternal knowledge of newborn danger signs is low. Similarly, maternal knowledge of optimal newborn care practices has also been shown to be low. Since both issues are typically addressed during antenatal care, this study sought to determine whether group antenatal care (G-ANC) could lead to improvements in maternal recognition of danger signs and knowledge of healthy newborn practices, as well as boosting postnatal care utilization.

Methods
This cluster randomized controlled trial of G-ANC compared to routine individual antenatal care (I-ANC) was conducted at 14 health facilities in Ghana, West Africa, from July 2019 to July 2023. Facilities were randomized to intervention or control, and pregnant participants at each facility were recruited into groups and followed for the duration of their pregnancies. 1761 participants were recruited: 877 into G-ANC; 884 into I-ANC. Data collection occurred at enrollment (T0), 34 weeks’ gestation to 3 weeks postdelivery (T1) and 6–12 weeks postpartum (T2). Comparisons were made across groups and over time using logistic regression adjusted for clustering.

Results
Overall, knowledge of newborn danger signs was significantly higher for women in G-ANC, both in aggregate (13-point scale) and for many of the individual items over time. Likewise, knowledge of what is needed to keep a newborn healthy was higher among women in G-ANC compared to I-ANC over time for the aggregate (7-point scale) and for many of the individual items. Women in G-ANC were less likely to report postnatal visits for themselves and their babies within 2 days of delivery than women in I-ANC, and there was no difference between groups regarding postnatal visits at one week or 6 weeks after birth.

Conclusion
This study illustrates that group ANC significantly improves knowledge of newborn danger signs and healthy newborn practices when compared to routine care, suggesting that the impact of G-ANC extends beyond impacts on maternal health. Further research elucidating care pathways for ill newborns and maternal behaviors around healthy newborn practices is warranted.

Trial registration
: ClinicalTrials.gov Identifier: NCT04033003, Registered: July 25, 2019 Protocol Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508671/.
Protocol and research program of the European registry and biobank for interstitial lung diseases (eurILDreg)
Authors: Krauss Ekaterina , Tello Silke , Naumann Jennifer , Wobisch Sandra , Ruppert Clemens , Kuhn Stefan , Mahavadi Poornima , Majeed Raphael W. , Bonniaud Philippe , Molina-Molina Maria , Wells Athol , Hirani Nik , Vancheri Carlo , Walsh Simon , Griese Matthias , Crestani Bruno , Guenther Andreas ,   on behalf of further eurILDreg investigators, Borie Raphael , Kannengiesser Caroline , Poletti Venerino , Behr Juergen , Drakopanagiotakis Fotios , Bastos Helder , Ravaglia Claudia , Hurley Killian ,   RARE-ILD investigators, Eils Roland , Gut Ivo , Haick Hossam , Broza Yoav Y. 
Published: November 2024

Abstract
Background and Aims
Interstitial lung diseases (ILDs), encompassing both pediatric and adult cases, present a diverse spectrum of chronic conditions with variable prognosis. Despite limited therapeutic options beyond antifibrotic drugs and immunosuppressants, accurate diagnosis is challenging, often necessitating invasive procedures that may not be feasible for certain patients.
Drawn against this background, experts across pediatric and adult ILD fields have joined forces in the RARE-ILD initiative to pioneer novel non-invasive diagnostic algorithms and biomarkers. Collaborating with the RARE-ILD consortium, the eurILDreg aims to comprehensively describe different ILDs, analyze genetically defined forms across age groups, create innovative diagnostic and therapeutic biomarkers, and employ artificial intelligence for data analysis.

Methods
The foundation of eurILDreg is built on a comprehensive parameter list developed and adopted by clinical experts, encompassing over 1,800 distinct parameters related to patient history, clinical examinations, diagnosis, lung function and biospecimen collection. This robust dataset is further enriched with daily assessments captured through the patientMpower app, including handheld spirometry and exercise tests, conducted on approximately 350 patients over the course of a year. This approach involves app-based daily assessments of quality of life, symptom tracking, handheld spirometry, saturation measurement, and the 1-min sit-to-stand test (1-STST). Additionally, pediatric data from the ChILD-EU registry will be integrated into the RARE-ILD Data Warehouse, with the ultimate goal of including a total of 4.000 ILD patients and over 100.000 biospecimen.

Discussion
The collaborative efforts within the consortium are poised to streamline research endeavors significantly, promising to advance patient-centered care, foster innovation, and shape the future landscape of interstitial lung disease research and healthcare practices.

Trial Registration
EurILDreg is registered in the German Clinical Trials Register (DRKS 00028968, 26.07.2022), and eurIPFreg is registered in ClinicalTrials.gov (NCT02951416).
Menstrual cycle related depressive symptoms and their diurnal fluctuations – an ambulatory assessment study
Authors: Klusmann Hannah , Brose Annette , Schulze Lars , Engel Sinha , Laufer Sebastian , Bücklein Elise , Knaevelsrud Christine , Schumacher Sarah 
Published: November 2024

Abstract
Background
Reproductive mood disorders indicate that within-person variation in depressive symptoms across the menstrual cycle can be related to ovarian hormone changes. Until now, such cycle-related symptom changes have been measured once daily, even though depression research indicates systematic diurnal changes in symptoms. Further, previous research often focused on aggregated depression scores. This study examined whether three daily assessments of depressive symptoms follow similar trajectories across the menstrual cycle and investigated within-person cyclical fluctuation of all individual symptoms and the aggregated score.

Methods
77 naturally-cycling participants (35 with and 42 without depressive disorder) provided three daily ratings of depressive symptoms across one menstrual cycle to evaluate individual and summarized symptoms.

Results
Reliability estimates (w) of the three diurnal measurements ranged from 0.56 to 0.78. Cyclicity showed statistically significant interindividual differences for all symptoms, and individual symptoms differed significantly from each other in their magnitude of cyclicity.

Limitations
Only one menstrual cycle was assessed to reduce participant burden. Further, ovulation testing dates were based on self-reported cycle lengths, and only LH (luteinizing hormone) peaks were tested without subsequent progesterone rises.

Conclusions
The results highlight the need for a symptom-specific approach to assess individual variance in cyclicity of depressive symptoms. Reliability for one daily assessment can be improved by using the afternoon value, a sum score for depressiveness, or multiple items per symptom. Furthermore, this study emphasizes, that depressive symptoms can systematically change across the menstrual cycle, and it is, therefore, important to include it in depression research. Exploring female-specific risk factors of depression will enable the development of person-tailored treatments.

Trial registration
The study was preregistered at ClinicalTrials.gov (NCT04086316) with the first registration on 27/08/2019.
Exploring alternative practice placement models in occupational therapy and physiotherapy: perspectives and experiences of learners and practice educators: a qualitative systematic review
Authors: Deaves Amanda , Matson Rebecca , Rushe Edwina , Rees Anna , Edwards David , Trainor Kate , Seddon Joanne 
Published: November 2024

AbstractWithin physiotherapy and occupational therapy practice placements, there is a predominance of the one-to-one supervision model which creates limitations for placement capacity expansion. Alternative placement models must be explored to meet training requirements for these professions and ensure the availability of a future workforce. The aim of this review is to explore the experiences and perceptions of practice educators and learners regarding alternative placement models, to inform future planning and the adoption of these opportunities. This qualitative systematic review followed the Joanna Briggs Institute methodology. A comprehensive search was conducted across six databases (CINAHL, MEDLINE, PubMed, Scopus, ERIC, PsycINFO), covering the period from January 2010 to December 2022. Meta-aggregation was used to synthesise the findings from the included studies. A total of 16 articles were included within this review. The learner voice was represented in 14 categories aggregated to five synthesised findings: professional growth and development, personal and psychological adaptation, alliances within collaborative learning, educational and learning process, and managing professional relationships. The practice educator voice was represented in 11 categories aggregated into four synthesised findings: providing the right support; professional identity; peer relationships and levels of satisfaction. This review highlights positive aspects associated with skill development, personal growth, and the formation of professional identity following alternative placement experiences. However, it also reveals concerns including uncertainty and anxiety related to role clarity, expectations, and the structure within these environments. This understanding of the perceptions and experiences of both learners and practice educators can inform the development of targeted support and guidance from universities, addressing these challenges and enhancing overall satisfaction. Further adoption of alternative placement models has the potential to expand practice placement capacity for learners offering a promising environment for healthcare education. These models provide learners with invaluable experiences and skills essential for their future careers.
Forecasting the future of smart hospitals: findings from a real-time delphi study
Authors: Jovy-Klein Florian , Stead Susan , Salge Torsten Oliver , Sander Jil , Diehl Anke , Antons David 
Published: November 2024

Abstract
Background
In concert with other digital technologies, artificial intelligence (AI) is shaping the vision of smart hospitals. The transformation into smart hospitals, however, is all but trivial due to the lack of financial and human resources, digital skills, and supporting policies. Thus, the extent to which the vision of smart hospitals will eventually become reality is uncertain. In this context, our study provides a multidimensional conceptualization of the immediate future of smart hospitals to 2042.

Methods
This study employs an iterative mixed-methods approach, including expert workshops and a Delphi study. We conducted a real-time Delphi study to forecast the evolution of smart hospitals in 5-year steps from 2027 to 2042. A total of 39 experts in healthcare, artificial intelligence, and management participated.

Results
Our understanding of a technology-enabled smart hospital in this study includes four dimensions: artificial intelligence (AI), sustainability, ecosystems, and human-centeredness. Our findings underscore the critical need to address the shortage of hospital staff and general practitioners that models predict will peak by 2032. Additionally, our results show a significant shift to individualized medicine and home care. This shift indicates that smart hospitals are expected to leverage AI and digital technologies to tailor care to each patient. Furthermore, the roles and responsibilities of hospital staff will undergo significant changes. Healthcare personnel will have to adapt to new technologies that facilitate more efficient workflows and improve patient engagement in evolving healthcare environments. The results of our study suggest a shift in care to individualized medicine and home care, with corresponding changes in the roles and responsibilities of hospital staff who will employ new technologies.

Conclusions
The findings from our real-time Delphi study suggest that the vision of smart hospitals is gradually becoming reality over the next 20 years. Advancements in artificial intelligence should enhance operational efficiency and patient-centric care, while facilitating the integration of sustainability practices and fostering collaborative ecosystems. However, addressing challenges such as staff shortages, ethical considerations, and the need for robust digital skills will be essential. A deep pool of expert healthcare practitioners, clear ethical guidelines, and robust digital skills are essential to fully realize this vision and ensure that smart hospitals can meet the evolving needs of healthcare delivery.
Health technology assessment to support health benefits package design: a systematic review of economic evaluation evidence in Zambia
Authors: Simangolwa Warren Mukelabai , Govender Kaymarlin , Mbonigaba Josue 
Published: November 2024

Abstract
Background
Health technology assessment uses explicit economic evaluation evidence to support health benefits package design. However, the limited availability of technical expertise, data, and methods has restricted the production of economic evaluation evidence in low- and middle-income countries. Zambia has initiated a roadmap to support its policy of reviewing and implementing its national benefits package. This study characterises economic evaluation evidence to support this process's evidence mapping, synthesis, and appraisal stages.

Methods
This systematic review applies deductive analysis and the preferred reporting items for systematic review and meta-analyses. Four databases were searched to identify studies from 1993 that coincided with Zambia's health benefits package reform.

Results
A total of 61 studies met the inclusion criteria. Most of the studies were first authored by nonlocal authors, and the number of local-based authors in each study was low. Almost all funding for economic evaluation research was not local, and only a few studies sought local ethical clearance to conduct research. Infectious diseases were the highest disease control priority for the studies, with HIV research having the highest output. Most of the studies were cost-effectiveness studies that utilised trial-based data and a combination of program, published, and unpublished data for analysis. The studies generally utilised direct cost and applied the ingredient-based costing approach. Natural units were predominantly used for outcomes alongside DALYs. Most studies reported using a 3% discount rate for both costs and outcomes, with only a few reporting methods for sensitivity analysis.

Conclusion
Economic evaluation evidence in Zambia has increased, revealing limited local research leadership, methodological inconsistencies, and a focus on infectious diseases. These findings are crucial for revising Zambia's benefits package and may guide researchers and decision-makers in improving the transparency and quality of future research.
An update on the pathogenesis and ethnopharmacological therapeutic approaches of vulvovaginal candidiasis
Authors: Chauhan Vidushi , Kumar Amit , Tripathi Shweta , Jha Madhulika , Kumar Navin , Poluri Krishna Mohan , Gupta Payal 
Published: November 2024

AbstractIn the era of globalization, the concept of world health needs to be practiced where a significant consideration should be given to women health. Of many issues, the most common and under-rated is vulvovaginal candidiasis (VVC); a superficial to invasive mucosal infection of lower reproductive tract in women, primarily caused by commensal yeast Candida. The inability of conventional drugs in triumphing the VVC has made researchers to review the potential of traditional medicines. The present review aimed to highlight the problem and concerns of women related to VVC, covering all aspects of disease development, host response, conventional drug failure, and possibilities of formulating phytomolecule based VVC therapy. The health and disease issues in women are considerably severe, especially for those living in impoverished conditions. Any dysbiosis in vaginal microbiome disturbs the harmony between residing microbes and leads to commencement of VVC. Lactobacillus is key care-taker microbe that keeps check on over growth of Candida by various means. However, Candida have evolved numerous virulence traits to overcome the governance of Lactobacillus as well as host immune system. The present review comprehensively outlined the virulence, and pathogenicity of Candida along with its interaction with host immune system. The review has also highlighted the current conventional drugs and their drawbacks, along with potential of ethnopharmacological phytoactive molecules as future therapies for defining the therapeutic management of the disease.
Graphical Abstract
Comparative analysis of nutritional and mineral compositions of Farfantepenaeus notialis and Macrobrachium vollenhovenii for dietary planning and food industry applications
Authors: Ibitoye Oluwatosin , Ayanniyi Oluwadamilola , Ayeni Olabisi , Kolejo Oluwatobi , Arabambi Israel , Ademola Oluwafunke , Adetola Olusegun , Onafurume Ono 
Published: November 2024

AbstractThis study compares the nutritional composition of two commercially important crustaceans, Farfantepenaeus notialis and Macrobrachium vollenhovenii, to assess their dietary suitability. Proximate and mineral analyses were performed on dried samples of each species, evaluating fat, protein, ash, moisture, and mineral concentrations. Results reveal significant differences. F. notialis showed higher fat (1.79% ± 0.001%) and protein (6.69% ± 0.2%) compared to M.vollenhovenii (fat: 1.54% ± 0.001%; protein: 5.34% ± 0.4%), making it a more energy-dense protein source. Conversely, M. vollenhovenii had higher ash (5.38% ± 0.002%) and moisture (22.12% ± 0.004%), with higher calcium (256.24 mg/g ± 0.74) and potassium (71.02 mg/g ± 0.76) content, key for bone health and cardiovascular function. F. notialis was richer in iron (5.18 mg/g ± 0.03), useful for preventing iron deficiency. Both species had substantial zinc levels (~ 0.8 mg/g), essential for immune health. T-tests confirmed significant differences in nutritional parameters and minerals. The findings highlight the benefits of including both species in diets for improved nutritional diversity, especially in regions with limited food options.
Graphical Abstract
Feasibility and acceptability of a web-intervention to prevent alcohol and cannabis-impaired driving among adolescents in driver education
Authors: Nameth Katherine , Ueland Elizabeth , D’Amico Elizabeth J. , Osilla Karen Chan 
Published: November 2024

Abstract
Background
Adolescents increasingly view cannabis as a substance with limited harm. Their propensity to engage in risky driving, combined with their relative driving inexperience, places adolescents at heightened risk for harm resulting from impaired driving. Driver education provides an opportunity to help prevent and reduce these risks, yet few interventions address cannabis-impaired driving, especially impairment from simultaneous use of both cannabis and alcohol.

Methods
We adapted a single-session primary care brief intervention (CHAT) for driver education programs. First, we conducted two focus groups with adolescents aged 15–17 years (n = 6; n = 5) enrolled in driver education programs in Michigan and Colorado. Their feedback was integrated into a prototype of an online intervention called webCHAT that focuses on preventing alcohol and cannabis-impaired driving. Next, we recruited a new sample of adolescents who user tested webCHAT (n = 8) and provided qualitative and survey feedback. We analyzed qualitative data using classic content analysis and grouped themes according to the feasibility and acceptability of webCHAT.

Results
Participants suggested that webCHAT should have adolescent narrators in short, informal, and interactive videos. In satisfaction surveys (n = 8), 88% of participants would recommend webCHAT to a friend and 88% reported that they learned helpful skills regarding impaired driving. General acceptability was also reflected in interviews (n = 6; 100% would recommend the intervention to a friend, 100% indicated overall positive impressions, and 67% stated it was easy to use). Participants reported that it was helpful to learn about the negative effects of both cannabis and alcohol on driving behavior, voicing that webCHAT would help adolescents make more informed decisions.

Conclusions
Soliciting adolescent perspectives is critical when developing interventions targeting cannabis use because of increasingly permissive attitudes and perceptions of minimal risk associated with use. The current study highlights how feedback can help increase both the feasibility and acceptability of interventions.
Analysis of public perceptions on the use of artificial intelligence in genomic medicine
Authors: Harrison Jack E. , Lynch Fiona , Stark Zornitza , Vears Danya F. 
Published: November 2024

Abstract
Purpose
Next generation sequencing has led to the creation of large pools of genomic data with analysis rather than data generation now the limiting factor. Artificial intelligence (AI) may be required to optimize the benefits of these data, but little is known about how the public feels about the use of AI in genomics.

Methods
We conducted focus groups with members of the Australian public. Participants were recruited via social media advertisements. We explored potential uses of AI in genomic medicine, the benefits, risks, and the possible social implications of its use.

Results
Participants (n = 34) largely felt comfortable with AI analysing their own genomic data and generally agreed about its benefits. Concerns were raised over data security, the potential for misdiagnosis, and bias AI may perpetuate. Many participants wanted checking mechanisms for when results were generated using AI.

Conclusions
The insights gained from these discussions help to understand public concerns around the use of AI in genomic medicine. Our findings can help to inform both policies around genomic AI and how to educate the public on its use.

Graphical abstract
Relationships between emotional labor, job burnout, and emotional intelligence: an analysis combining meta-analysis and structural equation modeling
Authors: Chen Yin-Che , Huang Zhi-Ling , Chu Hui-Chuang 
Published: November 2024

AbstractThe present study adopted a meta-analysis design that incorporated structural equation modeling to explore the relationships between emotional labor (EL), job burnout (JB), and emotional intelligence (EI), and enable model validation. The results revealed that EL and JB were significantly and positively correlated, that EI was significantly and positively correlated with EL, and that EI was significantly and negatively correlated with JB. The SEM parameter estimation values were all positive, reaching the level of significance and meeting the basic fit criteria. The total effect size of EL on JB was 0.289, which was equal to the sum of the direct and indirect effect sizes (0.371–0.082). This result indicated that EL affected JB through EI, validating the presence of a moderating effect. Finally, the results were discussed, and practical suggestions were proposed.