A national study on the subject was used to calculate the research sample size. A study conducted in Turkey determined that students who received training in disaster nursing had a 44% increase in their knowledge level compared to those who did not. In determining the sample size, this ratio is accepted as 95% power and 0.05 alpha level, and the required sample size in the Gpower 3.2 program is 60 people (30 experimental and 30 control). Sampling loss was stated as 17% in another study conducted on a similar population and a similar subject. Students enrolled in the Public Health Nursing course of Selçuk University Faculty of Nursing, the research area, will be evaluated according to the eligibility criteria. Then, the researchers (MK and LS-K) will receive the contact information of the students who meet the inclusion criteria, volunteer to participate in the study, and give consent. The topic of disaster nursing will be explained to all students enrolled in the course by the researcher (LS-K) in the classroom environment. Pre-tests will be taken from students attending the course on disaster nursing by the researchers (MK and LS-K). Randomization will be carried out by the researcher (D-KT), who does not have an active role in the research process. Students in the experimental and control groups will be hidden from the researchers (MK, LS-K, and M-D), who will carry out the application until it begins. The Program prepared for the students in the experimental group, based on the Gamification Strategy Based on Multiple Intelligence Theory, will be carried out face to face. Students in the experimental group will be on the playground. Students will attend the sessions in groups of 6. Each student will compete independently within the group, and each group will have a winner. A total of 30 questions will be encountered in each game round. The entire game process consists of 7 sessions, each expected to last approximately 30 minutes. Post-tests will be taken from the students after the game process is completed. The main result expected from the research is the change in students\\' knowledge levels about disaster nursing services, their intentions to become volunteer disaster nurses, and their self-efficacy perceptions regarding disaster nursing.

In the contemporary era, artificial intelligence (AI) has undergone a transformative evolution, exerting a profound influence on neuroimaging data analysis. This development has significantly elevated our comprehension of intricate brain functions. This study investigates the ramifications of employing AI techniques on neuroimaging data, with a specific objective to improve diagnostic capabilities and contribute to the overall progress of the field. A systematic search was conducted in prominent scientific databases, including PubMed, IEEE Xplore, and Scopus, meticulously curating 456 relevant articles on AI-driven neuroimaging analysis spanning from 2013 to 2023. To maintain rigor and credibility, stringent inclusion criteria, quality assessments, and precise data extraction protocols were consistently enforced throughout this review. Following a rigorous selection process, 104 studies were selected for review, focusing on diverse neuroimaging modalities with an emphasis on mental and neurological disorders. Among these, 19.2% addressed mental illness, and 80.7% focused on neurological disorders. It is found that the prevailing clinical tasks are disease classification (58.7%) and lesion segmentation (28.9%), whereas image reconstruction constituted 7.3%, and image regression and prediction tasks represented 9.6%. AI-driven neuroimaging analysis holds tremendous potential, transforming both research and clinical applications. Machine learning and deep learning algorithms outperform traditional methods, reshaping the field significantly.

OBJECTIVE: To 1) identify the range of evidence for relationships between psychological factors using the Fear Avoidance Model (FAM) as a guiding framework and relevant clinical outcomes in adult patients with persisting symptoms after concussion (PSaC), 2) develop a comprehensive understanding of psychological factors that have been identified as predictors of clinical outcomes for PSaC, and 3) contribute to the theoretical framework of the FAM for PSaC. DATA SOURCES: Six databases (CINAHL, Embase, PsycINFO, PubMed, SportDiscus, and Web of Science) were searched by a librarian for empirical and theoretical publications, and experimental and quasi experimental study designs. The literature search was not limited by publication date restrictions. Grey literature, with the exception of doctoral dissertations, was excluded. STUDY SELECTION: Studies in the English language consisting of human participants 18 years and older. Articles must have included both outcomes pertaining to PSaC (greater than or equal to three months post-injury) and psychological constructs. DATA EXTRACTION: One reviewer extracted data from the resulting studies using a standardized data extraction form designed for this review. Two reviewers independently assessed risk of bias using the Quality in Prognosis Studies tool. DATA SYNTHESIS: This review found numerous psychological constructs, some directly linked to the FAM, that have potential prognostic relationships with PSaC. However, research remains limited and some psychological factors central to FAM were only identified in a small number of studies (catastrophizing, cogniphobia, avoidance) while other psychological factors were studied more extensively (anxiety, depression). CONCLUSIONS: There is the need for additional evidence and this integrative review provides an adaptation of the FAM for PSaC to be used as a guiding preliminary framework for future research. Future research should aim to include psychological factors proposed in this modified FAM to fully understand PSaC.

BACKGROUND: Breast cancer screening trends of transgender and gender diverse (TGD) people remain largely unknown. This is concerning, as data is necessary to inform recommendations made by clinicians to their patients and by national guidelines to clinicians. The aim of this review is to explore the state of existing research literature and provide a summary report of current breast cancer screening rates in TGD adults. METHODS: All articles were identified using Medical Subject Headings (MeSH) terms Inclusion criteria were all the following: 1) Documents inclusion of at least one participant who identifies as a TGD person; 2) At least one TGD participant with top-surgery or currently receiving estrogen-based gender affirming hormone therapy (GAHT); 3) Results report rates of breast cancer screening or mammogram referral. RESULTS: Twelve articles met inclusion criteria, six cross-sectional studies and six retrospective chart reviews. Three studies conducted secondary analysis of the Behavioral Risk Factor Surveillance System (BRFSS) national dataset, and nine articles recruited their own sample with TGD participant ranges from 30 to 1,822 and cisgender women ranges from 242 to 18,275. Three studies found lower rates of screening in transfeminine persons receiving gender-affirming care compared to cisgender women; two studies found lower rates among TGD people compared to cisgender women; and three studies found no differences between the breast cancer screening rates of TGD and cisgender participants. CONCLUSION: Limited studies recruit and report trends in breast cancer screening of TGD people. Those that do include TGD participants have mixed results, but overall TGD people had lower rates of breast cancer screening. More research is needed regarding breast cancer screening of TGD people to inform the development of protocols that ensure equitable access to preventative care.

BACKGROUND: Direct carotid-cavernous fistulas (dCCFs) involve the abnormal shunting of blood between the internal carotid artery and the cavernous sinus. The use of covered stents (CSs) has been reported for the treatment of complex carotid artery lesions. However, the efficacy and safety of CS treatment for dCCFs remain controversial. Thus, we performed a systematic review and meta-analysis to evaluate these efficacy and safety endpoints. METHODS: A systematic literature review was performed by comprehensively searching the Medline, Embase, and Web of Science databases to identify studies that were related to CS treatment for dCCFs. Then, a meta-analysis was conducted to pool the efficacy and safety outcomes from these studies based on perioperative and follow-up data. RESULTS: Fourteen non-comparative studies enrolling 156 patients with 160 dCCFs met the inclusion criteria. When analyzing perioperative outcomes, the technical success rate was 98.5% [95% confidence interval (CI), 0.948, 1.000], and the immediate complete occlusion rate was 90.9% (95% CI, 0.862, 0.959). Vasospasm and dissection occurred in 32.2% (95% CI, 0.238, 0.463) and 0.1% (95% CI, 0.000, 0.012) of patients, respectively. The in-stent acute thrombus formation rate was 0.1% (95% CI, 0.000; 0.013). Postoperatively, the mortality rate was 0.1% (95% CI, 0.000, 0.013). Based on available follow-up data, the final complete occlusion and parent artery stenosis rates were 99.3% (95% CI, 0.959, 1.000) and 18.6% (95% CI, 0.125, 0.277), respectively. CONCLUSIONS: CS placement can be used to safely and effectively treat dCCFs. These results provide a reference for future clinical trials.

Guillain-Barre syndrome (GBS) is an acute-onset immune-mediated polyneuropathy characterized by ascending symmetrical muscle weakness, diminished reflexes, and sensory symptoms. While GBS typically follows a monophasic course, some patients experience treatment-related fluctuations or recurrences, posing diagnostic challenges in distinguishing GBS from acute-onset chronic inflammatory polyneuropathy (A-CIDP). A-CIDP, may present acutely, simulating GBS, with a nadir in less than 8 weeks, subsequently evolving into a chronic or relapsing course. The distinction between recurrent GBS and A-CIDP is crucial, as A-CIDP necessitates long-term immunosuppression. A PubMed search was conducted using the search terms 'recurrent Guillain Barre syndrome' and 'acute onset CIDP' focusing on studies in the English language, published between January 1, 2004 and April 30, 2023. Overlapping clinical features, particularly in the early stages, complicate differentiation between recurrent GBS and CIDP. Electrophysiological studies, ultrasonography, and immunological markers have been explored for discrimination; however, definitive criteria for differentiation remain elusive. Recent follow-up studies have further blurred the boundaries between recurrent GBS and A-CIDP, suggesting the persistence of underlying immune processes even in GBS patients without clinical deterioration. This emphasizes the necessity of reevaluating diagnostic criteria and treatment strategies. In conclusion, distinguishing recurrent GBS from A-CIDP remains an ongoing challenge. Existing evidence questions the categorization of recurrent GBS as a distinct entity, challenging its very existence. Continued research is necessary to refine diagnostic criteria and deepen our understanding of these conditions, ultimately advancing patient care. This review delves into the intricacies of recurrent GBS and A-CIDP differentiation and highlights the need for a reevaluation of the recurrent GBS concept.

OBJECTIVES: Home-based primary care (HBPC) provides interdisciplinary, longitudinal, comprehensive care at home to homebound older adults. The prevalence of dementia among HBPC recipients is approximately 50%. To date, little research has been performed to determine whether dementia-specific interventions have been conducted in HBPC or their efficacy. We performed a scoping review to assess the landscape of dementia interventions in HBPC. DESIGN: Systematic scoping review. SETTING AND PARTICIPANTS: Care delivery programs for patients or caregivers of patients with dementia for the purpose of improving the management of dementia in the setting of HBPC. METHODS: The PRISMA-ScR protocol was followed. Literature searches were performed using PubMed, Embase, and Scopus for articles on dementia-focused interventions implemented in HBPC. Articles were excluded if they consisted of abstracts only, were not in English, or were not dementia interventions in HBPC. RESULTS: A total of 1657 unique titles and abstracts were screened. Overall, 1584 titles and abstracts were excluded, resulting in 73 full-text studies to assess for eligibility. Of these 73 full-text studies, 1 study met criteria for inclusion, an observational study assessing the implementation of the Resources for Enhancing Alzheimer's Caregiver Health (REACH) intervention in Veterans Affairs HBPC. That study found the intervention to be effective in reducing caregiver burden, with a decrease of 2 hours on duty per day, trending toward significance. Among the excluded 72 full-text studies, some studies included potentially relevant interventions that could be translated into HBPC care, including dementia interventions that targeted long-term services and supports, office-based primary care and other nonhome settings such as nursing homes, and home-based palliative care. CONCLUSIONS AND IMPLICATIONS: Despite high prevalence of dementia among homebound older adults receiving HBPC, there are a dearth of studies on HBPC-specific dementia interventions. Future studies should consider adapting and testing interventions found to be effective in other settings to HBPC.

BACKGROUND: Tuberculosis (TB) is a common complication associated with treatment with tumor necrosis factor (TNF) antagonists and Janus kinase (JAK) inhibitors. However, there is uncertainty about the risk of TB relapse in patients with TB and comorbidities requiring treatment with these agents. OBJECTIVES: Partner Site Hamburg-Lübeck-Borstel-Riems. To assess the risk of TB relapse in patients (re-)started on TNF antagonists or JAK inhibitors. METHODS: Systematic review. DATA SOURCES: PubMed and Cochrane Library databases until 11 December 2023. STUDY ELIGIBILITY CRITERIA: Studies reporting on patients with current or previous TB who were (re-)started on TNF antagonists or JAK inhibitors. RESULTS: Of 5018 articles screened for eligibility, 67 publications reporting on 368 TB patients who (re-)initiated treatment with TNF antagonists for underlying diseases were included. The median age was 42.5 years (95%CI: 40.4 - 42.5) and the proportion of female patients was 36.6% (n=74) of patients whose sex was reported. A total of 14 patients (3.8%, 95% CI: 2.1 - 6.3%) developed TB relapse after a median of 8.5 months (IQR: 6.8 - 14.8 months) following (re-)initiation of anti-TNF treatment. Furthermore, among 251 articles screened for eligibility, 11 reports on TB patients who were (re-)started on JAK inhibitors for underlying diseases were identified. The median age was 62 years (IQR: 48.5 - 68.5 years) and 45.5% (n=5) were female. Only one patient (9.1%, 95% CI: 0.2 - 41.3%) had TB reactivation ten months after starting treatment with ruxolitinib. In addition, 94 patients who were treated with TNF antagonists and two patients were temporarily treated with JAK inhibitors for prevention or treatment of paradoxical reactions were analysed. None of the publications reported microbiological failure or worsening of TB-related symptoms. CONCLUSIONS: (Re-)initiation of TNF antagonists and JAK inhibitors may be relatively safe in patients with current or previous TB and the need for further treatment of underlying diseases.

PURPOSE: To systematically review studies utilizing video analyses to evaluate anterior cruciate ligament (ACL) injury mechanisms in athletes during sport to better understand risk factors and the potential for injury prevention. METHODS: A literature search was conducted in accordance with the 2020 PRISMA guidelines statement using SCOPUS, PubMed, Medline, and the Cochrane Central Register for Controlled Trials from database inception through June 2023. Inclusion criteria including studies reporting on ACL injury mechanisms occurring in athletes based on video analysis. Athlete demographics, injury mechanisms, position of the lower extremity, and activity at the time of injury were recorded. RESULTS: A total of 13 studies, consisting of 542 athletes, met inclusion criteria. The majority of athletes competed at the professional level (91%, n=495/542) with 79% (n=422/536) of athletes being male. The most common sports were soccer (33%, n=178/542) and American football (26%, n=140/542). The most common injury mechanism was non-contact in 42.9% (n=230/536) of athletes, followed by indirect contact (32.6%, n=175/536) and direct contact (22.4%, n=120/536). The most common position of injury was with a planted foot ( 91.7%, n=110/120), full or near full knee extension ( 84.4%, n=49/58), and axial loading ( 81.3%, n=87/107). Injuries commonly involved a deceleration/shift in momentum ( 50.4%, n=123/244) or pivoting maneuver ( 36.1%, n=77/213). At the time of injury, the knee commonly fell into valgus ( 76.8%, n=225/293) with associated internal (53.5%, n=46/86) or external tibiofemoral rotation ( 57.7%, n=101/175). CONCLUSIONS: The majority of ACL injuries, when evaluated by video analysis, involve professional athletes participating in soccer and American football. The most common injury mechanism occurred without contact with the knee in extension during a deceleration or momentum shift, with resultant valgus and rotational force across the knee. LEVEL OF EVIDENCE: IV; Systematic review of level IV studies.

BACKGROUND: Intermodality image-to-image translation is an artificial intelligence technique for generating one technique from another. PURPOSE: This review was designed to systematically identify and quantify biases and quality issues preventing validation and clinical application of artificial intelligence models for intermodality image-to-image translation of brain imaging. DATA SOURCES: PubMed, Scopus, and IEEE Xplore were searched through August 2, 2023, for artificial intelligence-based image translation models of radiologic brain images. STUDY SELECTION: This review collected 102 works published between April 2017 and August 2023. DATA ANALYSIS: Eligible studies were evaluated for quality using the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) and for bias using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). Medically-focused article adherence was compared with that of engineering-focused articles overall with the Mann-Whitney U test and for each criterion using the Fisher exact test. DATA SYNTHESIS: Median adherence to the relevant CLAIM criteria was 69% and 38% for PROBAST questions. CLAIM adherence was lower for engineering-focused articles compared with medically-focused articles (65% versus 73%, P < .001). Engineering-focused studies had higher adherence for model description criteria, and medically-focused studies had higher adherence for data set and evaluation descriptions. LIMITATIONS: Our review is limited by the study design and model heterogeneity. CONCLUSIONS: Nearly all studies revealed critical issues preventing clinical application, with engineering-focused studies showing higher adherence for the technical model description but significantly lower overall adherence than medically-focused studies. The pursuit of clinical application requires collaboration from both fields to improve reporting.