[Oral Feeding Readiness Assessment Tools for Preterm Infants].

Due to their underdeveloped physiological maturity, preterm infants often face challenges related to sucking, breathing, and swallowing coordination during initial feeding. This lack of coordination may lead to episodes of apnea and choking, resulting in unstable vital signs. Preterm infants with this issue must gradually learn oral feeding skills appropriate to their developmental stage. Registered nurses play a critical role in assessing the right time to transition from tube to oral feeding and in providing a safe and positive oral feeding experience. In this article, three validated assessment tools for feeding premature infants are introduced, accompanied by clinical research data demonstrating their use in clinical practice. These three tools include: (1) the Neonatal Oral Motor Assessment Scale, which is applied to evaluate oral motor skills using observations of nonnutritive sucking and the sucking state during the two minutes before feeding; (2) the Premature Oral Feeding Readiness Assessment Scale, which is used to assess readiness for oral feeding in preterm infants; and (3) the Early Feeding Skills assessment, which is used to evaluate the oral feeding skills of preterm infants. These tools aid nurses in helping preterm infants achieve independent oral feeding, facilitating earlier discharge and return to home. The clinical implications and effectiveness of these tools are also discussed to provide to nurses the means and confidence necessary to apply them appropriately in clinical settings.

Development and psychometric validation of an age-friendly health system assessment tool in the Iranian context.

Evaluating health system interventions for elderly care necessitates a context-specific, credible and dependable instrument. This research was dedicated to creating and validating a tool to assess the health system's age-friendliness. The study unfolded in two pivotal stages: the generation of items utilizing a hybrid model and the psychometric appraisal of the tool, encompassing both validity and reliability assessments. From an initial pool of 522 items derived from a systematic scoping review and qualitative analysis, a concise assessment tool emerged, featuring 52 items across 6 domains: governance, information, resources, service delivery, community engagement and outcomes. The 52-item tool offers a straightforward, substantiated and robust means to gauge age-friendliness, pinpoint health system deficiencies and facilitate strategic planning on the basis of its insights.

Factors associated with breastfeeding rates at 1 month of age: Focusing on newborn feeding behaviours in a Japanese maternity hospital.

AIM: This study investigated the relationship between newborn feeding behaviour and feeding type among month-old babies and explored maternal and neonatal factors associated with breastfeeding rates at 1 month of age. METHODS: This observational study was conducted in Japan with healthy mothers and full-term newborns. Newborn feeding behaviours were assessed using the Japanese Infant Breastfeeding Assessment Tool (IBFAT) within approximately 1 day of birth. Obstetric and newborn characteristics, including newborn feeding behaviours, were investigated in relation feeding type (breast milk or mixed milk) at 1 month of age. RESULTS: This study included 176 mother-newborn pairs. IBFAT scores were significantly higher in the breast-milk group (Median (M) = 10.5, Interquartile Ranges (IQR): 9.0-11.0) than in the mixed-milk group (M = 10.0, IQR: 7.5-11.0) (P = 0.046). Additionally, the sucking pattern of breastfeeding was showing a greater distribution of higher scores in the breast-milk group (M = 2.0, IQR: 2.0-2.5) than in the mixed-milk group (M = 2.0, IQR: 1.5-2.5) (P = 0.015). Compared to mothers who received epidural analgesia or synthetic oxytocin, primiparas who did not receive them were more likely to breastfeed (epidural analgesia: (33.3% vs. 65.8%, P = 0.004); synthetic oxytocin: (42.0% vs. 78.6%, P = 0.018)). For multiparas, Apgar and IBFAT scores were associated with feeding type at 1 month of age. CONCLUSIONS: This study found that newborns' effective and sustained sucking within 1 day of birth is an important factor for breastfeeding at 1 month of age. When assessing feeding type, maternal factors such as epidural analgesia should be the focus for primiparas, while neonatal factors such as feeding behaviour should be prioritised for multiparas.

Assessing measles risk transmission in Iran: a utilization of the World Health Organization's programmatic risk assessment tool,2022.

BACKGROUND: Despite successful efforts to eliminate measles in Iran, imported measles cases continue to be reported. Because measles is endemic in neighboring countries. This research aims to evaluate the risk of measles transmission in different regions of Iran. METHODS: Measles case-based surveillance data of the Expanded Program of Immunization containing 31 provinces and 463 districts from 2019 to 2021 were assessed. The WHO Measles Programmatic Risk Assessment tool was used to evaluate the risk of disease transmission in four domains: population immunity, surveillance quality, program delivery performance, and threat assessment. scores were categorized as low, medium, high, or very high risk. RESULTS: During 2019-2021, the average incidence of measles was 1.9 per 1 million. Chabahar and Mashhad with 76 and ./6per million reported the highest and lowest incidence respectively. All 463 districts were categorized as low risk in risk assessment. Andimeshk, Chabahar, and Bojnurd obtained the highest risk scores with 27, 24, and 25 respectively. All districts were classified as low risk for population immunity. The average coverage of (MMR1) and (MMR2) was 95% or higher. All districts received the minimum points for surveillance quality. CONCLUSION: All regions are placed at a low level of disease transmission risk. However, the tool is not able to assess the risk at the rural or peripheral sectors level. The indicators used in this tool are the same for all countries with different epidemiological features (elimination, endemic). Sensitivity analysis can optimize the use of this tool for countries with different disease conditions.

Intraoperative Communication Among Men and Women Surgeons With Nursing and Anesthesia Providers.

INTRODUCTION: Gender bias has been reported by women surgeons, but its impact on communication in the operating room (OR) is unclear. OR communication is critical to understand, as it directly impacts patient outcomes. The current study evaluates potential gender bias in the type and quality of communication between surgeons and OR nursing and anesthesia providers. METHODS: We developed a novel intraoperative communication assessment tool, Operating Room Communication Quality assessment tool (OComm), which was adapted from previously validated teamwork assessment tools. Independent coders recorded the instances of conversation and categorized them into clinical or casual communication. After the operation, the participants were assigned a score from the OComm tool. Participants were then given the same OComm measure to assess their self-perceived communication quality and collect demographic information. RESULTS: For both genders, surgeons' median self-perceived OComm scores was 3.47/4, but surgeons observed OComm score was 2.91/4. Anesthesia providers noted the highest median self-perceived OComm score of 3.65/4 but the lowest observed OComm median score of 2.29/4. From both surgeon to nurse and surgeon to anesthesia provider, there was no association between the gender and frequency of casual conversation (P = 1 > 0.025). CONCLUSIONS: There was no gender difference in the degree to which women and men surgeons engaged in casual conversation with nursing and anesthesia providers. Surgeons, both men and women, were also more likely to rate their quality of communication lower than the nurses and anesthesia providers, while independent coders were more likely to rate surgeons' quality of communication higher than that of nurses and anesthesia providers.

A patient report scale research to access the symptom burden in patients with IgA nephropathy.

Patients diagnosed with IgA nephropathy (IgAN) commonly experience a substantial burden of symptoms encompassing both physical and psychological aspects. Presently, there's a dearth of standardized assessment tools to effectively gauge the extent of symptom burden in IgAN patients. Therefore, this study aims to devise an IgAN Symptom Assessment Tool that enables a comprehensive evaluation of patient symptom burden and their self-perceived severity. Employing a prospective observational design, this study conducted a survey among patients diagnosed with IgAN at a hospital in China. The research team formulated an IgAN Symptom Burden Assessment Scale and administered a questionnaire to gauge patient symptom burden. Severity assessment was conducted on a 5-point Likert scale, with higher scores indicating a more pronounced burden of symptoms. The finalized scale comprised 14 distinct symptom items, and the questionnaire survey garnered responses from 200 patients, achieving a 100% response rate. Statistical analysis unveiled that nearly all patients regarded these symptoms as prevalent and significantly impactful on their daily lives, resulting in a considerable burden. Notably, mild oliguria, moderate nasal congestion, bitter taste , throat discomfort, alongside severe manifestations such as muscle weakness, fatigue, and foamy urine, were frequently reported by patients. The findings underscore that a substantial proportion of IgAN patients grapple with a significant burden of symptoms, emphasizing the imperative for healthcare providers to prioritize symptom management and implement proactive measures to alleviate these challenges. This study presents an innovative tool tailored for evaluating symptom burden specifically in IgAN patients. Subsequent research should center on validating this tool within larger patient cohorts to optimize the efficacy of symptom management in this demographic.

Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies Using AI (QUADAS-AI): Protocol for a Qualitative Study.

BACKGROUND: Quality assessment of diagnostic accuracy studies (QUADAS), and more recently QUADAS-2, were developed to aid the evaluation of methodological quality within primary diagnostic accuracy studies. However, its current form, QUADAS-2 does not address the unique considerations raised by artificial intelligence (AI)-centered diagnostic systems. The rapid progression of the AI diagnostics field mandates suitable quality assessment tools to determine the risk of bias and applicability, and subsequently evaluate translational potential for clinical practice. OBJECTIVE: We aim to develop an AI-specific QUADAS (QUADAS-AI) tool that addresses the specific challenges associated with the appraisal of AI diagnostic accuracy studies. This paper describes the processes and methods that will be used to develop QUADAS-AI. METHODS: The development of QUADAS-AI can be distilled into 3 broad stages. Stage 1-a project organization phase had been undertaken, during which a project team and a steering committee were established. The steering committee consists of a panel of international experts representing diverse stakeholder groups. Following this, the scope of the project was finalized. Stage 2-an item generation process will be completed following (1) a mapping review, (2) a meta-research study, (3) a scoping survey of international experts, and (4) a patient and public involvement and engagement exercise. Candidate items will then be put forward to the international Delphi panel to achieve consensus for inclusion in the revised tool. A modified Delphi consensus methodology involving multiple online rounds and a final consensus meeting will be carried out to refine the tool, following which the initial QUADAS-AI tool will be drafted. A piloting phase will be carried out to identify components that are considered to be either ambiguous or missing. Stage 3-once the steering committee has finalized the QUADAS-AI tool, specific dissemination strategies will be aimed toward academic, policy, regulatory, industry, and public stakeholders, respectively. RESULTS: As of July 2024, the project organization phase, as well as the mapping review and meta-research study, have been completed. We aim to complete the item generation, including the Delphi consensus, and finalize the tool by the end of 2024. Therefore, QUADAS-AI will be able to provide a consensus-derived platform upon which stakeholders may systematically appraise the methodological quality associated with AI diagnostic accuracy studies by the beginning of 2025. CONCLUSIONS: AI-driven systems comprise an increasingly significant proportion of research in clinical diagnostics. Through this process, QUADAS-AI will aid the evaluation of studies in this domain in order to identify bias and applicability concerns. As such, QUADAS-AI may form a key part of clinical, governmental, and regulatory evaluation frameworks for AI diagnostic systems globally. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/58202.

Tissue-Engineered Oral Epithelium for Dental Material Testing: Toward In Vitro Biomimetic Models.

Tissue-engineered oral epithelium (ΤΕΟΕ) was developed after comparing various culture conditions, including submerged (SUB) and air-liquid interface (ALI) human cell expansion options. Barrier formation was evaluated via transepithelial electrical resistance (TEER) and calcein permeation via spectrofluorometry. TEOE was further assessed for long-term viability via live/dead staining and development of intercellular connections via transmission electron microscopy. Tissue architecture was evaluated via histochemistry and the expression of pancytokeratin (pCK) via immunohistochemistry. The effect of two commonly used dental resinous monomers on TEOE was evaluated for alterations in cell viability and barrier permeability. ALI/keratinocyte growth factor-supplemented (ALI-KGS) culture conditions led to the formation of an 8-20-layer thick, intercellularly connected epithelial barrier. TEER values of ALI-KGS-developed TEOE decreased compared with all other tested conditions, and the established epithelium intensively expressed pCK. Exposure to dental monomers affected the integrity and architecture of TEOE and induced cellular vacuolation, implicating hydropic degeneration. Despite structural modifications, the permeability of TEOE was not substantially affected after exposure to the monomers. In conclusion, the biological properties of the TEOE mimicking the physiological functional conditions and its value as biocompatibility assessment tool for dental materials were characterized.

Long-Term Bone Density Changes and Fracture Risk in Myasthenia Gravis: Implications for FRAX® Tool Application.

Myasthenia gravis (MG) patients often require long-term glucocorticoid therapy, which may affect bone health. This study aimed to assess long-term changes in bone mineral density (BMD), evaluate osteoporotic fracture incidence, and examine the relationship between MG-specific factors and bone health outcomes over a 10-year period. This single-center, prospective cohort study included 28 MG patients. BMD, T-scores, Z-scores, and bone turnover markers were measured at baseline. FRAX® scores were calculated and adjusted for glucocorticoid dose. Fracture occurrence was monitored for over 10 years. Five (17.9%) patients experienced major osteoporotic fractures during follow-up. The fracture group had significantly lower baseline BMD and T-scores than the no-fracture group. Baseline FRAX® scores for major osteoporotic fracture risk were significantly higher in the fracture group (median 19.0% vs. 5.7%, p = 0.001). The fracture group progressed from osteopenia at baseline to osteoporosis by the end of this study. This study highlights the importance of early and regular bone health assessments in MG patients, particularly those receiving long-term glucocorticoid therapy. The FRAX® tool may be valuable for fracture risk stratification in this population. These findings can inform clinical practice and improve long-term management strategies for MG patients who are at risk of osteoporotic fractures.

Cross-cultural adaptation and validation of a French version of the Measure of Stroke Environment (MOSE) in stroke survivors in Sub-Saharan Africa.

PURPOSE: To investigate the psychometric properties of the MOSE-Benin, a French-language version of the Measure of Stroke Environment (MOSE) for Sub-Saharan Africa. MATERIALS AND METHODS: The original English version of the MOSE has been translated into French following the guidelines for cross-cultural adaptation. The resulting questionnaire (MOSE-Benin) was administered to a convenience sample of participants recruited in Benin, a French-speaking country. RESULTS: Eighty-two stroke survivors (41 females; mean ± SD: 54.94 ± 11.6 years old) participated in the study. Internal consistency of each domain of the MOSE-Benin and the overall questionnaire was high (Cronbach's α: 0.78 to 0.92). Test-retest reliability was excellent (n = 31; ICC: 0.977 to 0.998). Overall, the standard error of measurement (SEM) and the minimum detectable change (MDC) showed very low values (SEM = 0.85; MDC = 2.35). Convergent validity demonstrated moderate correlations for the three domains in separate comparison respectively with the ACTIVLIM-Stroke questionnaire, the Participation Measurement Scale, and the communication domain of the Stroke Impact Scale (r or ρ: 0.42 to 0.54; p < 0.0001). CONCLUSION: MOSE-Benin has good evidence regarding psychometric properties (i.e., content validity, convergent validity, internal consistency, and test-retest reliability) that can support its use for the assessment of perceived environmental barriers after stroke in a French-speaking Sub-Saharan African country, such as Benin.

Stroke survivors in French-speaking Sub-Saharan Africa may face environmental challenges related to acceptability, physical environment, and communication.Stroke survivors should be assessed in their communities to identify environmental barriers, using valid and robust tools.A French version of the MOSE (MOSE-Benin) is now available and can be used to assess the environmental concerns faced by stroke survivors in Sub-Saharan Africa.

Reproducibility and comparison of a digital food frequency questionnaire (DIGIKOST-FFQ) assessing adherence to national diet and lifestyle recommendations.

Background: We have developed a digital semi-quantitative food frequency and lifestyle questionnaire, the DIGIKOST-FFQ, based on the validated paper-based NORDIET-FFQ. Objective: The study aims to investigate the reproducibility of the DIGIKOST-FFQ and to compare the DIGIKOST-FFQ against the NORDIET-FFQ for the adjusted questions for intakes of fruits, vegetables, whole grains, fish, meat, and dairy products. Design: Participants were recruited from May to September 2021 through a random sample from the National Population Register and advertisements on Facebook in Norway. In the reproducibility study, the DIGIKOST-FFQ was completed twice by the participants, 1-2 months apart. In the comparison study, the DIGIKOST-FFQ was completed 1-2 months prior to the NORDIET-FFQ. Results: In the reproducibility study, 317 individuals were included. For 12 out of 16 food groups there were no significant differences in intake estimations between the first and second DIGIKOST-FFQ administrations. A small but significant median difference was observed for fruits (6 g/day) and vegetables (24 g/day). Correlations were satisfactory for all items (r = 0.60-1.00), and in the cross-classification 85% of the participants were classified into the same or adjacent quartile for all items. The comparison study included 81 individuals. Compared to the NORDIET-FFQ a significant median difference was observed for fruits 29 g/day, vegetables 36 g/day, whole grains -10 g/day, and red meat -11 g/day, but not for fish, processed meat, or dairy products. Conclusion: The DIGIKOST-FFQ was able to reproduce diet and lifestyle at the group level. An intended difference for the food groups where questions had been adjusted, was observed between DIGIKOST-FFQ and NORDIET-FFQ in the comparison study.

Breast Cancer Risk Assessment Tool (BCRAT) and long-term breast cancer mortality in the Women's Health Initiative.

BACKGROUND: While the Breast Cancer Risk Assessment Tool (BCRAT) predicts breast cancer incidence, the model's performance, re-purposed to predict breast cancer mortality, is uncertain. Therefore, we examined whether the BCRAT model predicts breast cancer mortality in postmenopausal women in the Women's Health Initiative (WHI). METHODS: BCRAT 5-year breast cancer incidence risk estimates were calculated for 145,408 women (aged 50-79 years) enrolled in the WHI at 40 US clinical centers to examine associations of BCRAT risk groups (< 1%, 1-< 3%, ≥ 3%) with breast cancer mortality using Cox proportional regression modeling in all participants and in those with incident breast cancer. RESULTS: Women with BCRAT ≥ 3% risk, compared to women with BCRAT < 1% risk, were older (age 70-79 years: 38.3% versus 5.3%), less commonly Black (1.1% versus 40.2%), and had stronger breast cancer family history. With 20-years follow-up, considering all participants, with 8,849 breast cancers and 1,076 breast cancer deaths, breast cancer mortality in BCRAT group ≥ 3% was not higher versus BCRAT group < 1% (Hazard Ratio [HR] 1.06 95% Confidence Interval [CI] 0.80-1.40): percent without 20-year breast cancer mortality; 99.4% [group < 1%] and 98.8% [group ≥ 3%]. Considering women with incident breast cancer, breast cancer mortality was also not higher in BCRAT group ≥ 3% versus BCRAT group < 1% (HR 1.07 95% CI 0.79-1.45). CONCLUSIONS: The BCRAT model, at ≥ 3% 5-year incidence risk (US guideline threshold for chemoprevention), does not identify women with higher breast cancer mortality risk, with implications for breast cancer prevention strategies.

Development of integrated assessment tool for water, sanitation and hygiene (WASH) services in non-household settings under climate change context.

Access to improved water, sanitation, and hygiene (WASH) services is crucial in recognizing human rights to water and sanitation and due to their impacts on education, livelihoods, and human health. However, these services are often inadequate in non-household settings such as prisons, refugee camps, schools, and healthcare facilities. Progress in monitoring to ensure sustainable services in these settings has been limited. Although several tools are available to assess WASH services in both household and non-household settings, they have limitations, and none has taken a holistic approach to evaluate WASH performance in all non-household settings. Furthermore, the impacts of climate change on WASH services are rarely considered in these evaluations, making the inadequacies of WASH services worse. To address these gaps, an integrated tool was developed to assess WASH performance in non-household settings, incorporating financial, institutional, environmental impact, technical, social, and climate change factors. The tool provides scores for indicators to solve the problem of a lack of final aggregated data to enable decision-makers to determine the level of WASH performance in a setting. Moreover, it provides qualitative explanations for each score, allowing decision-makers to identify areas for improvement. This tool offers valuable and insightful data for improving WASH facilities and ensuring sustainable services in non-household settings, particularly for WASH service providers and local governments.

Assessments scales for the evaluation of health-related quality of life in Parkinson's disease, progressive supranuclear palsy, and multiple system atrophy: a systematic review.

Background: The concept of wellbeing is expansive and intricate, making it challenging to define precisely. Similarly, the instruments employed to assess wellbeing are complex and multifaceted. Therefore, it is more appropriate to refer to the notion of wellbeing as Health-Related Quality of Life (HRQoL), which is the central focus of many measures used to assess the feeling of wellbeing. This review aimed to identify the tools most commonly used to evaluate HRQoL in individuals with Parkinsonism-a group of movement disorders that negatively impact the quality of life due to the intricate interplay of symptoms, socio-demographic characteristics, and psychological factors. The main aim was to assess the psychometric properties of these measures in terms of validity and reliability. Methods: A literature review was conducted, focusing on research related to the assessment of HRQoL in connection to symptoms of Parkinsonism. This review included all studies that examined HRQoL using evaluation scales, exams, or self-reported questionnaires. The literature review was conducted using the databases Scopus and Web of Science and the search engine PubMed to identify studies published between 1996 and 2023. Only records that assessed HRQoL in individuals with Parkinson's disease and Parkinsonism were selected for evaluation. Results: A total of 393 records were examined, and eight tools were identified as the most frequently used in the evaluation of HRQoL. Discussion: The results show a significant gap in knowledge regarding the latent structure and measurement invariance of HRQoL measurements, which may have a significant influence on the interpretation of test outcomes. Moreover, there is a lack of clear divergent validity between HRQoL assessments and other tests used as predictors of HRQoL. This could represent a significant limitation, affecting the construct and criterion validity of HRQoL measures.

Evaluating social sustainability of urban regeneration in historic urban areas in China: The case of Xi'an.

Urban regeneration involves a highly contested process of social transformation. Examples from China have shown that this process has led to poor social sustainability. Previous studies have not adequately addressed the issue of poor social sustainability. This study aims to address this gap by developing a set of valid and reliable performance indicators for assessing the social sustainability of urban regeneration initiatives in China's Historic Urban Areas (HUAs). Through an extensive literature review and a Delphi survey, critical social sustainability factors facilitating urban regeneration were identified. An assessment tool was subsequently proposed, comprising eight themes, 29 indicators, and a corresponding point-scoring system. Finally, Xi'an was selected as a case study to apply and test the applicability of the tool and to evaluate social sustainability performance to further explore improvement strategies. The results show that adequate housing, housing quality, participation in regeneration initiatives, and safe design were the most critical indicators determining the social sustainability of urban regeneration. Additionally, the results reveal indicators with limited contribution to achieving social sustainability in Xi'an. The research findings have policy implications for pushing socially sustainable urban regeneration initiatives in China.

Improving Prediction of Complications Post-Proton Therapy in Lung Cancer Using Large Language Models and Meta-Analysis.

PURPOSE: This study enhances the efficiency of predicting complications in lung cancer patients receiving proton therapy by utilizing large language models (LLMs) and meta-analytical techniques for literature quality assessment. MATERIALS AND METHODS: We integrated systematic reviews with LLM evaluations, sourcing studies from Web of Science, PubMed, and Scopus, managed via EndNote X20. Inclusion and exclusion criteria ensured literature relevance. Techniques included meta-analysis, heterogeneity assessment using Cochran's Q test and I2 statistics, and subgroup analyses for different complications. Quality and bias risk were assessed using the PROBAST tool and further analyzed with models such as ChatGPT-4, Llama2-13b, and Llama3-8b. Evaluation metrics included AUC, accuracy, precision, recall, F1 score, and time efficiency (WPM). RESULTS: The meta-analysis revealed an overall effect size of 0.78 for model predictions, with high heterogeneity observed (I2 = 72.88%, P < 0.001). Subgroup analysis for radiation-induced esophagitis and pneumonitis revealed predictive effect sizes of 0.79 and 0.77, respectively, with a heterogeneity index (I2) of 0%, indicating that there were no significant differences among the models in predicting these specific complications. A literature assessment using LLMs demonstrated that ChatGPT-4 achieved the highest accuracy at 90%, significantly outperforming the Llama3 and Llama2 models, which had accuracies ranging from 44% to 62%. Additionally, LLM evaluations were conducted 3229 times faster than manual assessments were, markedly enhancing both efficiency and accuracy. The risk assessment results identified nine studies as high risk, three as low risk, and one as unknown, confirming the robustness of the ChatGPT-4 across various evaluation metrics. CONCLUSION: This study demonstrated that the integration of large language models with meta-analysis techniques can significantly increase the efficiency of literature evaluations and reduce the time required for assessments, confirming that there are no significant differences among models in predicting post proton therapy complications in lung cancer patients.

Using Advanced AI to Improve Predictions of Treatment Side Effects in Lung Cancer: This research uses cutting-edge artificial intelligence (AI) techniques, including large language models like ChatGPT-4, to better predict potential side effects in lung cancer patients undergoing proton therapy. By analyzing extensive scientific literature quickly and accurately, this approach has proven to enhance the evaluation process, making it faster and more reliable in foreseeing complications from treatments.

Study of Efficacy of a Novel Formative Assessment Tool: Keywords Recall.

Background Formative assessment is a crucial component of a Competency-Based Medical Education curriculum. Keywords are concise representations of the central ideas and themes explored within a subject. Taking a memory test evaluates knowledge as well as improves future memory. Aim and objectives This study intended to study the efficacy of the "keywords teaching" technique and "keywords recall" after a teaching-learning session as an effective tool for formative assessment and the correlation between the performance of students in summative assessments. Materials and methods Students of first-year professional faculty of medicine students 2022-23 batch attending pre-clinical (physiology) classroom lectures aged between 18-21 years belonging to both genders who consented to voluntary participation in the study were included in the study. Scores of formative sessions by multiple choice questions, keywords recall assessment tool, and summative sessions were analyzed using paired t-tests. Scores of formative assessments and summative assessments were correlated using Pearson correlation analysis. Results Analysis showed formative assessments had a significant (P < 0.05) relationship with summative assessment performance. The study indicates a positive correlation between scores for both formative and summative assessments, highlighting the importance of formative assessment in improved academic performance. Conclusion Optimal learning can be achieved by testing that emphasizes recall retrieval practice and that is repeated at intervals over time. This study suggests that "keywords recall" after a teaching-learning session is an effective tool for formative assessment.

Experiences of Using a Digital Guidance and Assessment Tool (the Technology-Optimized Practice Process in Nursing Application) During Clinical Practice in a Nursing Home: Focus Group Study Among Nursing Students.

BACKGROUND: Nursing students' learning during clinical practice is largely influenced by the quality of the guidance they receive from their nurse preceptors. Students that have attended placement in nursing home settings have called for more time with nurse preceptors and an opportunity for more help from the nurses for reflection and developing critical thinking skills. To strengthen students' guidance and assessment and enhance students' learning in the practice setting, it has also been recommended to improve the collaboration between faculties and nurse preceptors. OBJECTIVE: This study explores first-year nursing students' experiences of using the Technology-Optimized Practice Process in Nursing (TOPP-N) application in 4 nursing homes in Norway. TOPP-N was developed to support guidance and assessment in clinical practice in nursing education. METHODS: Four focus groups were conducted with 19 nursing students from 2 university campuses in Norway. The data collection and directed content analysis were based on DeLone and McLean's information system success model. RESULTS: Some participants had difficulties learning to use the TOPP-N tool, particularly those who had not attended the 1-hour digital course. Furthermore, participants remarked that the content of the TOPP-N guidance module could be better adjusted to the current clinical placement, level of education, and individual achievements to be more usable. Despite this, most participants liked the TOPP-N application's concept. Using the TOPP-N mobile app for guidance and assessment was found to be very flexible. The frequency and ways of using the application varied among the participants. Most participants perceived that the use of TOPP-N facilitated awareness of learning objectives and enabled continuous reflection and feedback from nurse preceptors. However, the findings indicate that the TOPP-N application's perceived usefulness was highly dependent on the preparedness and use of the app among nurse preceptors (or absence thereof). CONCLUSIONS: This study offers information about critical success factors perceived by nursing students related to the use of the TOPP-N application. To develop similar learning management systems that are usable and efficient, developers should focus on personalizing the content, clarifying procedures for use, and enhancing the training and motivation of users, that is, students, nurse preceptors, and educators.

A generic approach to developing human factors-quality assessment tools exemplified by the warehouse error prevention tool.

This study proposes a generic approach for creating human factors-based assessment tools to enhance operational system quality by reducing errors. The approach was driven by experiences and lessons learned in creating the warehouse error prevention (WEP) tool and other system engineering tools. The generic approach consists of 1) identifying tool objectives, 2) identifying system failure modes, 3) specifying design-related quality risk factors for each failure mode, 4) designing the tool, 5) conducting user evaluations, and 6) validating the tool. The WEP tool exemplifies this approach and identifies human factors related to design flaws associated with quality risk factors in warehouse operations. The WEP tool can be used at the initial stage of design or later for process improvement and training. While this process can be adapted for various contexts, further study is necessary to support the teams in creating tools to identify design-related human factors contributing to quality issues.

This paper describes a generic approach to creating human factors­based quality assessment tools. The approach is illustrated with the Warehouse Error Prevention (WEP) tool, which is designed to help users identify HF-related quality risk factors in warehouse system designs (available for free: Setayesh et al. 2022b).

Resources on lymphedema surgery: How effective are they for patients?

Online patient education materials (PEMs) on lymphedema surgery were assessed for quality, readability, and content. A total of 37 PEMs were identified, primarily authored by academic/medical organizations. Readability scores indicated materials were difficult to read, with an average Flesch-Kincaid Grade Level of 10.4. PEM Assessment Tools showed acceptable understandability (72.3%) but poor actionability (28.5%). PEMs often lacked information on surgical risks, postoperative care, and long-term follow-up. Simplifying language and adding visual aids could improve PEM effectiveness.