Cognitive functions in a 29-year-old male with post-COVID syndrome and long-term psoriasis - a case study.

Post-acute COVID syndrome (PACS), or long COVID, is a newly defined condition emerging as a widespread post-pandemic diagnosis with prevalent neuro-psychiatric symptoms and possible neuroinflammation-associated pathogenetic mechanisms.

The effect of computerized cognitive training and transcranial direct current stimulation on working memory among post-stroke individuals: a systematic review with meta-analysis and meta-regression.

BACKGROUND: Working memory (WM) impairment is a common phenomenon after stroke; however, its management in rehabilitation is less researched. This systematic review and meta-analysis aimed to provide a quantitative synthesis of the impact of computerised cognitive training (CCT) and transcranial direct current stimulation (tDCS) on WM span in post-stroke individuals. METHODS: The literature search in PubMed, Embase, Scopus, and Cochrane Library focused on randomized controlled trials testing the effect of CCT and tDCS on treated stroke patients as compared to untreated controls. Neuropsychological instruments such as Digit Span Forward/Backward and Visual Span Forward Tests defined the outcome of WM span. After extracting study characteristics and quality assessment using the Cochrane Risk of Bias Tool, we conducted a meta-analysis and meta-regression using standardised mean differences. RESULTS: The search yielded 4142 articles, nine of which (N = 461) fulfilled the inclusion criteria. In the case of CCT, we found significant improvement in Digit Span Backward Test (Z = 2.65, P = 0.008; 95% CI [0.10, 0.67]) and Visual Span Forward Test performance (Z = 3.05, P = 0.002; 95% CI [0.15, 0.69]), while for tDCS, we could not find a sufficient number of studies for the analysis. Furthermore, no significant moderating factor was found in the meta-regression. CONCLUSIONS: In conclusion, CCT appears to be a suitable choice to enhance WM span performance after stroke. However, further research is needed to investigate the effect of tDCS due to the limited number of studies. TRIAL REGISTRATION: The meta-analysis was conducted according to PRISMA (Preferred Reporting of Systematic Reviews and Meta-Analyses) standards with a PROSPERO registration protocol (ID: CRD42023387182).

Exploring barriers to the effective use of computer-based simulation in pharmacy education: a mixed-methods case study.

Background: At the University of Tasmania (UTAS), pharmacy education traditionally relies on placements to provide students with hands-on experience. However, these placements have become increasingly limited due to logistical challenges and growing student numbers. Computer-based simulation (CBS) has the potential to offer a scalable, effective alternative to enhance learning and critical thinking. However, integrating CBS in pharmacy education faces several barriers that must be addressed for successful implementation. Objective: To gain insight into pharmacy educators' and students' views regarding the barriers, and potential solutions, to integrating CBS in pharmacy practice education. Methods: This mixed-methods case study involved semi-structured interviews with pharmacy educators and quantitative surveys with pharmacy students. The data underwent thematic coding for interview transcripts and statistical analysis for survey responses. The findings were integrated by examining convergence, complementarity, and discrepancy, revealing insights into how pharmacy students and educators perceive implementation barriers and improvement strategies for CBS. Results: Ten interviews were conducted, and 75 survey responses were collected, with a 62.5% response rate. Key barriers to CBS integration included educators' heavy workload, scepticism about CBS's educational value, and general integration challenges. Students, however, showed high acceptance of CBS, with 70.7% agreeing that CBS could assess their knowledge, 69.3% emphasising its role in developing problem-solving skills, and 80% viewing CBS as a complement to classroom study. Proposed solutions for enhancing CBS uptake included additional institutional support by appointing dedicated simulation technicians, leveraging champions to advocate for CBS, and aligning CBS with educational objectives. Conclusion: A significant gap between students' readiness and educators' hesitancy to use CBS in pharmacy education was identified. While students are eager to adopt new technologies, educators expressed reservations, primarily due to workload concerns and uncertainties about the efficacy of CBS. The feedback from educators suggests that institutions may see improved uptake by employing dedicated support personnel and initiating targeted training programs. Future research should focus on exploring barriers and facilitators, using larger and more diverse samples, and gaining deeper insights into decision-makers' perspectives to enhance the integration and efficacy of CBS in pharmacy education.

Mitigating Misinformation Toolkit: Online Simulation and Standardized Patient Cases for Interprofessional Students to Address Vaccine Hesitancy and Misinformation.

Introduction: Medical misinformation, which contributes to vaccine hesitancy, poses challenges to health professionals. Health professions students, while capable of addressing and advocating for vaccination, may lack the confidence to engage with vaccine-hesitant individuals influenced by medical misinformation. Methods: An interprofessional in-person simulation activity (90 minutes) using standardized patients was developed and instituted for students in medicine, nursing, pharmacy, and public health programs. Student volunteers were recruited from classes approximately halfway through their respective degree programs (i.e., second or third year of a 4-year program). Online simulation was used as a method to prepare for in-person simulation. Impact on students was assessed primarily through a postprogram student self-assessment. Results: A total of 220 students participated in the program; 206 (94%) had paired data available to analyze. Following program participation, self-assessed abilities increased from pre to post, from 2.8 out of 5 (good) to 3.9 out of 5 (very good; p < .001). Ninety-eight percent of students felt that their ability to address medical misinformation was somewhat/much better after the activity, compared to before, and that their ability to address vaccine hesitancy was somewhat/much better. The overall program was rated highly, with mean scores for each program evaluation item >4 out of 5 (very good). Discussion: An interprofessional cohort of students demonstrated improvement in self-assessed skills to participate in a conversation with an individual with hesitancy to receive vaccines and/or beliefs informed by misinformation. Students felt that this program was relevant and important to their professional development.

Development of a computer-based tool to obtain a family health history in Vietnam.

Background: Family health history (FHH) is central to human genomic profiling construction; however, there is no protocol for documenting FHH in a pedigree format in Vietnam.Aim: A "Gia Su Suc Khoe" (GSSK) tool was developed to create a user-friendly interface for collecting FHH and offering diseases' risk assessment.Results: A tool was described (https://giasusuckhoe.vn/) with good feedback from genetic counselors and family-medicine doctors. Among 20 surveys, 100% of respondents noted that the report accurately reflected their FHH and were satisfied with the tool's display. About 74% of familial conditions were covered. Overall, all constructive feedback has been adapted into the updated version.Conclusion: Gia Su Suc Khoe has the potential to significantly improve healthcare delivery and outcomes in Vietnam.

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Uncovering the antidiabetic potential of heart-friendly and diuretic bioactive compounds through computer-based drug design.

Avicenna, a pioneer of modern medicine, recommended diuretic therapy to treat diabetes. Like Avicenna's approach, current medicine frequently prescribes oral antidiabetic pills with diuretic and hypoglycemic effects by blocking the absorption of sodium and glucose. To this end, the paper sought natural compounds with potential antidiabetic, cardioprotective, and diuretic properties through computer-based drug design (CADD) techniques, targeting the inhibition of SGLT2 proteins. We identified several bioactive compounds from various sources exhibiting potential multifunctionality through high-throughput virtual screening (HTVS) of vast compound libraries. Subsequent molecular docking and dynamics simulations were employed to assess these compounds' binding efficacy and stability with their respective targets, alongside ADMET prediction, to evaluate their pharmacokinetic and safety profiles. The top hits, phenylalanyltryptophan, tyrosyl-tryptophan, tyrosyl-tyrosine, celecoxib, and DIBOA trihexose, had superior docking scores ranging from -11,4 to -9,8 kcal/mol. The molecular dynamics simulations displayed steady interactions between target proteins and biocompounds throughout 100 ns without significant conformational shifts. These findings lay the groundwork for lead optimization and preclinical testing. This meticulous process ensures the safety and efficacy of potential treatments, marking a meaningful step toward developing innovative treatments for managing diabetes and its associated health complications.

Autism spectrum disorder detection using facial images: A performance comparison of pretrained convolutional neural networks.

Autism spectrum disorder (ASD) is a complex psychological syndrome characterized by persistent difficulties in social interaction, restricted behaviours, speech, and nonverbal communication. The impacts of this disorder and the severity of symptoms vary from person to person. In most cases, symptoms of ASD appear at the age of 2 to 5 and continue throughout adolescence and into adulthood. While this disorder cannot be cured completely, studies have shown that early detection of this syndrome can assist in maintaining the behavioural and psychological development of children. Experts are currently studying various machine learning methods, particularly convolutional neural networks, to expedite the screening process. Convolutional neural networks are considered promising frameworks for the diagnosis of ASD. This study employs different pre-trained convolutional neural networks such as ResNet34, ResNet50, AlexNet, MobileNetV2, VGG16, and VGG19 to diagnose ASD and compared their performance. Transfer learning was applied to every model included in the study to achieve higher results than the initial models. The proposed ResNet50 model achieved the highest accuracy, 92%, compared to other transfer learning models. The proposed method also outperformed the state-of-the-art models in terms of accuracy and computational cost.

The influence of eight cognitive training regimes upon cognitive screening tool performance in post-stroke survivors: a network meta-analysis.

Background: Traditional meta-analysis offers only direct comparative evidence. The optimal cognitive training for poststroke cognitive impairment (PSCI) remains largely undetermined. Objectives: This study aims to assess and compare the effectiveness of selected cognitive training methods for PSCI patients and to identify and rank the most effective intervention programs. Methods: Searches were conducted in PubMed, Embase, Cochrane Library, Web of science, China National Knowledge Infrastructure, China Science and Technology Journal Database, Wanfang Database, and China Biomedical Database for randomized controlled trials up to September 30, 2023. Two researchers independently performed literature screening, data extraction, and quality assessment. Network meta-analysis was utilized to synthesize the main findings. The primary outcome focused on the intervention's impact on subjective cognitive function, with secondary outcomes including effects on activities of daily living, motor function, and functional independence. This study is registered with PROSPERO (CRD42023463282). Results: Fifty eligible randomized controlled trials were identified, revealing eight distinct interventions. These interventions collectively demonstrate efficacy in enhancing cognition. Traditional cognitive training significantly improves overall cognitive function, daily living function, motor function, and functional independence. In Loewenstein Occupational Therapy Cognitive Assessment, Barthel Index, Fugl-Meyer Assessment, and Functional Independence Measure scales, a combination of computer-based and traditional cognitive training outperformed the conventional control group MD = 29.97 (95%CI: 16.3, 44.2), MD = 18.67 (95%CI: 9.78, 27.45), MD = 28.76 (95%CI: 5.46, 51.79) and MD = 42.2 (95%CI: 5.25, 78.99). In the MMSE scale, virtual reality cognitive training combined with traditional training was most effective MD = 8.01 (95%CI: 3.6, 12.4). On the MoCA scale, the combination of exercise and cognitive training showed superior results MD = 6.68 (95%CI: 2.55, 10.78). Only the combined computer-based and traditional cognitive training, as well as traditional cognitive training alone, significantly enhanced functional independence, with no notable differences in other pairwise interventions. Conclusion: The network meta-analysis suggests that augmenting traditional training with other modalities may enhance overall effectiveness. Specifically, interventions incorporating computer-based cognitive training appear to surpass other methods in improving cognition, daily living function, motor skills, and functional independence. The findings of this network meta-analysis provide evidence-based guidance for clinical decision-making. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier in PROSPERO (CRD42023463282).

Effects of computer-based cognitive training vs. paper-and-pencil-based training on the cognitive development of typically developing children: Protocol for a randomized controlled trial.

The research aims to evaluate the effectiveness of a computerized cognitive training program in improving executive functions and attention in elementary school children, compared to a traditional paper-and-pencil intervention. The study has been formulated as a randomized controlled trial with pre- and post-intervention measures. For the study, third-grade children with typical development aged between 7 and 9 years will be recruited. Participants will be randomly assigned to the two study arms (control and experimental). The experimental group will participate in a computerized intervention using the NeuronUp cognitive stimulation platform for 8 weeks, twice a week. Sessions will be conducted using computers in the computer lab of the participating educational institution. The active control group will engage in paper-and-pencil cognitive training for the same duration and intensity as the experimental group. Evaluators will be blinded to the assignment, and participants will be blinded to the target intervention. Hypothesis testing will be conducted through ANOVA-MR, and logistic regressions will be implemented to assess the effect of socioeconomic variables on children's performance. These results are expected to contribute to the discussion on the opportunities and benefits offered by cognitive training programs on the cognitive development of typically developing children.

Comparative analysis of the effects of the computer-based and paper-based trail making tests on oxygenation in the prefrontal cortex.

The trail making test (TMT) is a commonly used tool for evaluating executive functions, and the activation of cerebral oxygenation in the prefrontal cortex (PFC) during the test can reflect the participation of executive function. This study aimed to compare the differences in cerebral oxygenation in the PFC between the computer- and paper-based versions of the TMT and provide a theoretical basis for the optimization and clinical application of the computer-based version. A total of 32 healthy adult participants completed the computer- and paper-based TMT Types A and B. Cerebral oxygenation changes in the PFC were monitored during the experiment using near-infrared spectroscopy. Moreover, average changes in oxyhemoglobin (Δoxy-Hb) levels at the baseline and during activation periods in different types of testing were compared and analyzed. The number of correct connections in the computer-based version Type B was less than that in the paper-based version Type B (p < .001). The task time of the computer-based version was longer than that of the paper-based version (p < .001). The B/A ratio of the number of correct connections in the computer-based version was lower than that in the paper-based version (p < .001). The Δoxy-Hb in the PFC of the paper-based version was higher than that of the computer-based version (p < .001). Significant differences in oxygenation in the PFC were observed between the paper- and computer-based versions of TMT. After further improvement and correction in the subsequent development of the computer-based TMT, and taking into account the psychological feelings and preferences of the participants when performing different versions of the TMTs, the computer-based TMT is expected to play a good auxiliary role in clinical evaluation.

Virtual Education in Urogynecology: Enhancing Understanding and Management of Pelvic Fistulas.

Introduction: Pelvic fistulas affect a significant number of patients globally, with a relatively low prevalence in the United States. Virtual education offers an effective, scalable solution to bridge this educational gap and lead to a deeper understanding of more common conditions, such as urinary and fecal incontinence. Methods: We developed two virtual cases on rectovaginal and vesicovaginal/ureterovaginal fistulas to enhance medical students' exposure, knowledge, and confidence regarding assessment of pelvic fistulas. The cases could be completed in approximately 30 minutes, asynchronously, and at students' own pace. The cases were integrated into an OB/GYN clerkship. We conducted a survey among students receiving the cases to gather feedback on usability, acceptability, and educational value, which guided subsequent improvements. Results: Forty medical students, ranging from first to third year, participated in the urogynecology elective; 21 (53%) completed the survey. Ninety-one percent agreed or strongly agreed they were satisfied with the cases. All respondents found the format easy to use and appropriate for their level of learning. Most reported the cases improved their confidence in nonsurgical and surgical management options for pelvic fistulas. Discussion: Offering virtual and interactive patient cases on e-learning platforms represents an innovative approach to increasing clinical exposure to urogynecologic disorders. By providing medical students with the opportunity to interact with pelvic fistulas virtually, these cases can help bridge a gap in clinical education. Future exploration is valuable for examining knowledge deficiencies and developing cost-effective, self-paced, easily accessible educational resources to advance medical training and optimize patient care.

A Longitudinal Study of CogEvo's Prediction of Cognitive Decline in Older Adults.

The predictive abilities of computer-based screening devices for early cognitive decline (CD) in older adults have rarely been longitudinally examined. Therefore, this study examined the ability of CogEvo, a short-duration, computer-based cognitive screening device requiring little professional involvement, to predict CD among community-dwelling older adults. We determined whether 119 individuals aged ≥ 65 years living in Japanese rural communities who scored ≥ 24 on the Mini-Mental State Examination (MMSE) at baseline developed CD by annually administering the MMSE to them. CD was defined as an MMSE score of ≤23. At baseline, the overall CogEvo judgment grade, with lower grades indicating better cognitive function, was calculated from the results of various cognitive tasks. Over 2 years, 10 participants developed CD. Participants with grades of 4 had a higher percentage of CD cases than those with grades of ≤3 (p < 0.01). This relationship remained significant after controlling for possible confounders, including the MMSE score at baseline. The sensitivity and specificity of the CogEvo grade cutoff of 4 were 50.0% and 93.6%, respectively. In conclusion, CogEvo may be an efficient tool for identifying individuals at a high risk for dementia. The possibility of missing CD cases should be considered when using CogEvo for screening.

Evaluating the Impact of Emergency Department Length of Stay in a Military Training Hospital Following the Implementation of a Standardized Paging System.

Emergency department (ED) lengths of stay (LOS) may be unnecessarily extended by inefficient consulting processes. Delays in initiating consultations, returning calls, consultant evaluation of patients, and communication of recommendations can contribute to potentially avoidable increases in LOS. Prolonged ED LOS has been shown to increase patient morbidity and mortality and to decrease patient satisfaction. We created a standardized procedure for ED-initiated consultations, with the goal of reducing the time to initial consultant callback, time to admission, and total ED LOS. Following our intervention, time to consultant callback was decreased; however, there was no reduction in total ED LOS for admitted patients.

The use of a computer-based program focused on the syllabic method to support early literacy in children with cochlear implants.

BACKGROUND: Children with cochlear implants (CIs) often lag behind children with normal hearing (NH) in early literacy skills. Furthermore, the development of language skills associated with their emergent literacy skills seems to depend on good auditory access. Supporting language acquisition and early literacy in children with CIs may prevent difficulties in primary school. The use of technology may facilitate auditory and speech recovery in children with CIs, but evidence on computer-based early literacy programs is limited. OBJECTIVE: This study investigates (a) the effects of a computer-based program focusing on the syllabic method on the literacy skills of children with CIs (CIs group), comparing them with the literacy skills of a group of age-matched NH (normal hearing) peers (NHs group); (b) the associations between language and early literacy skills in the NHs group and between language, auditory and early literacy skills in the CIs group. METHOD: Nine prelingually deaf children with CIs (M = 61.11, SD = 6.90) with severe to profound sensorineural hearing loss and nine age-matched NH children participated in the program. Categories of Auditory Performance (CAP) as measures of children's auditory skills were collected. All participants were tested on phonological, morphosyntax (grammatical comprehension and repetition), and early literacy skills (syllable blending and segmentation, syllable and word reading) (T1). Next, all children participated in the computer-based program for 12 weeks. After the program was completed (T2), only early literacy tests were administered to the children. RESULTS: Although, on average, both groups obtained higher scores in all literacy tasks at T2, the CIs group scored lower than the NHs group. In the CIs group, at T2 we found significant improvements in syllable segmentation (p = 0.042) and word reading (p = 0.035). In the NHs group, at T2 we found significant improvements in syllable segmentation (p = 0.034), syllable blending (p = 0.022), syllable reading (p = 0.008), and word reading (p = 0.009). We also found significant associations in both groups between measures of morphosyntax at T1 and measures of early literacy at T2. In addition, for the CIs group, we found significant associations between children's auditory performance at T1 and measures of morphosyntax at T1 and early literacy at T2. CONCLUSION: a computer-based program focused on the syllabic method could support children with CIs in acquiring emergent literacy abilities. The auditory performance of children with CIs seems to influence their morphosyntax and later early literacy skills.

Physical Chemistry Lab for Data Analysis of COVID-19 Spreading Kinetics in Different Countries.

The COVID-19 pandemic has passed. It gives us a real-world example of kinetic data analysis practice for our undergraduate physical chemistry laboratory class. It is a great example to connect this seemingly very different problem to the kinetic theories for chemical reactions that the students have learned in the lecture class. At the beginning of the spring 2023 semester, we obtained COVID-19 kinetic data from the "Our World in Data" database, which summarizes the World Health Organization (WHO) data reported from different countries. We analyzed the effective spreading kinetics based on the susceptible-infectious-recovered-vaccinated (SIR-V) model. We then compared the effective rate constants represented by the real-time reproduction numbers ( R t ) underlining the reported data for these countries and discussed the results and the limitations of the model with the students.

Increasing pre-exposure prophylaxis (PrEP) in primary care: A study protocol for a multi-level intervention using the multiphase optimization strategy (MOST) framework.

BACKGROUND: In the United States, over 1.2 million people are living with HIV. This disease disproportionately affects men who have sex with men (MSM), people of color, youth and young adults, and transgender individuals. Pre-exposure prophylaxis (PrEP) is an effective HIV prevention method. Barriers exist for both primary care providers (PCPs) to prescribe PrEP and prevent patients from initiating PrEP. METHODS: This study, MOST: PrEP, follows the multiphase optimization strategy (MOST) framework. The purpose is to identify a multi-level intervention among patients and PCPs to increase PrEP prescriptions in primary care. First, feedback will be obtained from providers and patients via focus groups, then, suggestions related to the context-specific (provider and individual level) factors of intervention component delivery will be incorporated. Subsequently, a rigorous experiment will be conducted using a 24 factorial design focusing on priority populations for PrEP initiation. Provider components include computer-based simulation training and a best practice alert. Patient components include a tailored PrEP educational video and HIV risk assessment. Finally, the facilitators and barriers to implementing the intervention components will be qualitatively examined. CONCLUSION: In this protocol paper, we describe the one of the first known multilevel MOST optimization trial in healthcare. Intervention components are to be delivered to patients and providers in a large healthcare system, based in an HIV Ending the Epidemic priority jurisdiction. If effective, this multi-level approach could be disseminated to providers and patients in other large healthcare systems to make a significant impact on HIV prevention.

A Digital Math Game and Multiple-Try Use with Primary Students: A Sex Analysis on Motivation and Learning.

Sex differences have been a rarely addressed aspect in digital game-based learning (DGBL). Likewise, mixed results have been presented regarding the effects according to sex and the conditions that generate these effects. The present work studied the effects of a drill-and-practice mathematical game on primary students. The study focused on an analysis by sex, measuring motivation and learning in the practice activity. Also, two instructional mechanics were considered regarding the question answering to search for possible differences: a multiple-try feedback (MTF) condition and a single-try feedback (STF) condition. A total of 81 students from four courses and two schools participated in the intervention. The study's main findings were as follows: (a) the girls outperformed the boys in terms of the students' learning gains; (b) the girls presented lower levels of competence and autonomy than the boys; (c) under MTF, the girls presented lower levels of autonomy but no differences in competence contrasted with the boys; (d) under STF, the girls presented lower levels of competence but no differences in autonomy contrasted with the boys; (e) no sex differences existed in interest, effort, and value, in general, as per the instructional condition. This study enhances the knowledge of sex differences under diverse instructional settings, in particular providing insights into the possible differences by sex when varying the number of attempts provided to students.

Identifying Disengaged Responding in Multiple-Choice Items: Extending a Latent Class Item Response Model With Novel Process Data Indicators.

Disengaged responding poses a severe threat to the validity of educational large-scale assessments, because item responses from unmotivated test-takers do not reflect their actual ability. Existing identification approaches rely primarily on item response times, which bears the risk of misclassifying fast engaged or slow disengaged responses. Process data with its rich pool of additional information on the test-taking process could thus be used to improve existing identification approaches. In this study, three process data variables-text reread, item revisit, and answer change-were introduced as potential indicators of response engagement for multiple-choice items in a reading comprehension test. An extended latent class item response model for disengaged responding was developed by including the three new indicators as additional predictors of response engagement. In a sample of 1,932 German university students, the extended model indicated a better model fit than the baseline model, which included item response time as only indicator of response engagement. In the extended model, both item response time and text reread were significant predictors of response engagement. However, graphical analyses revealed no systematic differences in the item and person parameter estimation or item response classification between the models. These results suggest only a marginal improvement of the identification of disengaged responding by the new indicators. Implications of these results for future research on disengaged responding with process data are discussed.

The effects of simulation-based education on undergraduate nursing students' competences: a multicenter randomized controlled trial.

BACKGROUND: Education in nursing has noticed a positive effect of simulation-based education. There are many studies available on the effects of simulation-based education, but most of those involve a single institution, nonrandomized controlled trials, small sample sizes and subjective evaluations of the effects. The purpose of this multicenter randomized controlled trial was to evaluate the effects of high-fidelity simulation, computer-based simulation, high-fidelity simulation combined with computer-based simulation, and case study on undergraduate nursing students. METHODS: A total of 270 nursing students were recruited from five universities in China. Participants were randomly divided into four groups at each institution: the high-fidelity simulation group, the computer-based simulation group, the high-fidelity simulation combined with computer-based simulation group, and the case study group. Finally, 239 participants completed the intervention and evaluation, with 58, 67, 57, and 57 participants in each group. The data were collected at three stages: before the intervention, immediately after the intervention, and three months after the intervention. RESULTS: The demographic data and baseline evaluation indices did not significantly differ among the four groups. A statistically significant difference was not observed between the four methods for improving knowledge, interprofessional collaboration, critical thinking, caring, or interest in learning. While skill improvement differed significantly among the different groups after the intervention (p = 0.020), after three months, no difference was observed (p = 0.139). The improvement in skill in the computer-based simulation group was significantly lower at the end of the intervention than that in the high-fidelity simulation group (p = 0.048) or the high-fidelity simulation combined with computer-based simulation group (p = 0.020). CONCLUSIONS: Nursing students benefit equally from four methods in cultivating their knowledge, interprofessional collaboration, critical thinking, caring, and interest in learning both immediately and over time. High-fidelity simulation and high-fidelity simulation combined with computer-based simulation improve skill more effectively than computer-based simulation in the short term. Nursing educators can select the most suitable teaching method to achieve the intended learning outcomes depending on the specific circumstances. TRIAL REGISTRATION: This clinical trial was registered at the Chinese Clinical Trial Registry (clinical trial number: ChiCTR2400084880, date of the registration: 27/05/2024).

Enhancing word signing in hearing students with reading disorders using computer-based learning trials.

Multiple-baseline-across-word-sets designs were used to determine whether a computer-based intervention would enhance accurate word signing with four participants. Each participant was a hearing college student with reading disorders. Learning trials included 3 s to observe printed words on the screen and a video model performing the sign twice (i.e., simultaneous prompting), 3 s to make the sign, 3 s to observe the same clip, and 3 s to make the sign again. For each participant and word set, no words were accurately signed during baseline. After the intervention, all four participants increased their accurate word signing across all three word sets, providing 12 demonstrations of experimental control. For each participant, accurate word signing was maintained. Application of efficient, technology-based, simultaneous prompting interventions for enhancing American Sign Language learning and future research designed to investigate causal mechanisms and optimize intervention effects are discussed.