Relevant Assessment Research Articles

TRANSITIONING FROM AN INSTITUTIONALLY DEFINED CANDIDATE SEARCH TO THE ANALYTIC HIERARCHY PROCESS: IMPROVING FACULTY SELECTION

This article presents a comprehensive model using the Analytic Hierarchy Process (AHP) for faculty search and selection at a regional university. After developing and applying evaluation criteria based on generalized position descriptions, the search committee chose to revise the criteria using the AHP. The revision allowed for more detailed and relevant assessments of candidate competencies and experience. While full implementation of the AHP was time-constrained, outcomes revealed greater consensus regarding preferred qualifications and presented a clearly defined rationale to support recommendations. In the decision-making process, the main criteria included degree, teaching, student engagement, research, service, experience, and diversity. Some of the main criteria had associated detailed sub-criteria. Although the AHP is typically used early in the faculty selection process, in this specific scenario, the initial elimination of candidates from the pool was made simpler by clearly defining the required qualifications and then closely evaluating the preferred qualifications. This article aims to assist higher education institutions in prioritizing and ranking their selection criteria, which have been found to be similar across different institutions.

Pre-service Teachers’ Preparedness for In-service Science Teaching in Primary Education – A Case Study in Croatia

An experimental science curriculum for primary school was introduced in Croatia for the 1st time in the 2023/24 school year. This is taking place against the backdrop of a shortage of teachers from various science subjects, especially physics. They are increasingly being replaced by non-professional teachers, often those with a Master of Primary Education, which gives access to the profession of primary junior grade teacher. In this study, the subject matter knowledge (SMK) in science of 44 pre-service teachers aiming for the above-mentioned degree is examined using the SMK test. The test contains 40 trends in international mathematics and science study (TIMSS) items from the 4th-grade science content domain Physical Science and allowed us to compare the achievement of our respondents with the achievement of pupils who participated in the TIMSS assessments. The results show that the percentage correctness of the pre-service teachers on the SMK test was statistically significantly higher than that of the 4th-grade pupils. However, the correlation coefficients showed that the pre-service teachers had greater difficulties with the items with which the pupils had greater difficulties, and vice versa. This applies in particular to the items on forces and motion and to the items from the cognitive domain of reasoning. The reason for the unsatisfactory science SMK of our respondents could be the incompatibility of the university science curriculum with the demands placed on pupils in the relevant school subjects and International science assessments such as TIMSS. The results of this study confirm and extend the contribution of existing research and should serve as a basis for subsequent research as well as for the design of a further course of science education reform in Croatia and in the countries of the region.

Labour Market of Ukraine and Meeting Post-War Workforce Supply Market Demands

Introduction. Full-scale military actions in Ukraine increased the dynamics of changes in the labour market, caused significant uncertainty in influencing factors, and increased the imbalance of supply and demand in the labour market, which was characterised as a crisis even before the invasion. This strengthened the need for a relevant assessment of the needs of the Ukrainian labour market and the possibility of its personnel support and management of labour resources, taking into account the risks for the country's economy and post-war reconstruction. Aim and tasks. The purpose of this article is to evaluate the labour market of Ukraine in the post-war period and substantiate ways of meeting the market's personnel needs using the example of the construction and IT industries. The tasks of this study are to identify the factors affecting the labour market in the post-war period, assess the dynamics of changes in the balance of demand and supply in the labour market in the post-war period, and develop a mathematically formalised approach to the adaptive assessment of the labour market. Results. The developed mathematically formalised approach to assessing the imbalance of the labour market in individual areas allowed the stabilisation of the demand and supply of the IT labour market in 2026 at a level 1.496 times lower than the maximum in 2023. In the construction industry, differentiation in sectoral priorities of post-war reconstruction has been determined, as evidenced by the expected shortage of personnel in this industry, which is 2.15 times higher than the indicator for all industries. This is also indicated by the differentiation in the demand for qualified workers from 20% to 60% for large and small construction enterprises. Conclusions. The identified reasons for the uncertainty of factors affecting the labour market (losses in the quality of labour resources and forced migration) proved that post-war reconstruction would require an adaptive approach to managing labour resources at all levels. The lack of personnel in the post-war period will require a change in the concept of ensuring the competitiveness of domestic enterprises by using cheap labour. It was determined that the demand for qualified personnel in the post-war period for all industries would grow, which is confirmed by the dynamics of the index of change of employees, which is 30% higher for qualified workers than unskilled workers. Significant differentiation by micro-specialty influences the gap between demand and supply, which does not consider the market's needs.

Features of culturally and linguistically relevant speech-language assessments for Indigenous children: A scoping review.

Indigenous children may be at higher risk of being misdiagnosed with speech-language difficulties due to Eurocentric practices in health care and education. The use of conventional speech pathology assessment practices contributes to inappropriate disorder identification, further stigmatising a vulnerable population. Few resources are available for speech pathologists, which examine the cultural and linguistic relevance of assessments for this population. To provide important features for speech pathologists to account for when building assessment plans for Indigenous children. This comprehensive scoping literature review was completed using the Arksey and O'Malley 6-step methodological framework, including the optional consultation exercise, and reported using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. To be included, studies needed to have been published since 2000, discuss speech-language assessments and involve a significant proportion of Indigenous participants under 7 years old. Three features were extracted from 32 studies that discussed First Nations, Métis, Inuit, Native American, Aboriginal and Torres Strait Islander communities: using a battery of resources including alternative approaches, ensuring authenticity and cultural relevance, and considering a child's linguistic characteristics. While there remains a need to adapt according to a specific child's reality, this study provides a guideline for all allied health clinicians when they are building their culturally and linguistically relevant assessment plans.

Prognostic clinical and biological markers for amyotrophic lateral sclerosis disease progression: validation and implications for clinical trial design and analysis

With increasing recognition of the value of incorporating prognostic markers into amyotrophic lateral sclerosis (ALS) trial design and analysis plans, there is a pressing need to understand which among the prevailing clinical and biochemical markers have real value, and how they can be optimally used. A subset of patients with ALS recruited through the multi-center Phenotype-Genotype-Biomarker study (clinicaltrials.gov: NCT02327845) was identified as "trial-like" based on meeting common trial eligibility criteria. Clinical phenotyping was performed by evaluators trained in relevant assessments. Serum neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH), urinary p75ECD, plasma microRNA-181, and an array of biochemical and clinical measures were evaluated for their prognostic value. Associations with functional progression were estimated by random-slopes mixed models of ALS functional rating scale-revised (ALSFRS-R) score. Associations with survival were estimated by log-rank test and Cox proportional hazards regression. Potential sample size savings from adjusting for given biomarkers in a hypothetical trial were estimated. Baseline serum NfL is a powerful prognostic biomarker, predicting survival and ALSFRS-R rate of decline. Serum NfL <40pg/mL and >100pg/mL correspond to future ALSFRS-R slopes of ∼0.5 and ∼1.5 points/month, respectively. Serum NfL also adds value to the best available clinical predictors, encapsulated by the European Network to Cure ALS (ENCALS) predictor score. In models of functional decline, the addition of NfL yields ∼25% sample size saving above those achieved by inclusion of either clinical predictors or ENCALS score alone. The prognostic value of serum pNfH, urinary p75ECD, and plasma miR-181ab is more limited. Among the multitude of biomarkers considered, only blood NfL adds value to the ENCALS prediction model and should be incorporated into analysis plans for all ongoing and future ALS trials. Defined thresholds of NfL might also be used in trial design, for enrichment or stratified randomisation, to improve trial efficiency. NIH (U01-NS107027, U54-NS092091). ALSA (16-TACL-242).

Evaluation of the dairy sustainability assessment tool (DSAT) for dairy systems in East Africa

ABSTRACT Sustainability assessment of dairy systems is necessary to understand bottlenecks and to identify measures to enhance sustainability of the systems. The Dairy Sustainability Assessment Tool (DSAT) was developed with a focus on the facilitation of discussion on sustainability among dairy sector actors in East Africa. DSAT has been applied in several case studies, but the tool has not been systematically evaluated. The objectives of this study were to evaluate the strengths and weaknesses of DSAT and to compare its main features with similar dairy assessment tools for Africa. This evaluation consisted of a literature search to identify relevant assessment tools and an online survey about the tool among its users. DSAT was different from other tools compared with as it does not require input data from farm surveys as the assessments rely on expert opinion, and it can conduct assessments at farm, regional and national scales. Results also showed that DSAT was appropriate for holistic assessments of the sustainability of dairy systems in Africa by providing a good overview of threats to sustainability. Weaknesses were mainly the scoring of indicators, which tends to be subjective and the absence of numerical reference values for indicators. Therefore, improving DSAT requires addressing the identified weaknesses.

Language Validation and Cultural Adaptation of the Italian Version of the Family Caregiver Quality of Life Scale.

Heart failure significantly impacts healthcare systems and society, affecting quality of life (QoL) due to its symptoms and continuous care needs. Nurses are crucial in managing heart failure, supporting both patients and caregivers who face physical, emotional, social, and spiritual challenges. The Family Caregiver Quality of Life (FAMQOL) scale evaluates caregivers' QoL across all dimensions. This study aims to translate and culturally adapt the FAMQOL from English to Italian, enhancing its utility in nursing research and practice to better identify and support caregiver well-being. Following EORTC guidelines (2017), the FAMQOL underwent linguistic validation and cultural adaptation. This included independent forward translations from English to Italian, back translations, and reconciliation discussions to produce a testable translation. A pilot test with 15 caregivers assessed the questionnaire's acceptability and comprehensibility. Linguistic adjustments ensured the questionnaire's understandability in Italian. Interviews confirmed its acceptability and comprehensibility, with minor modifications enhancing clarity. The translation process successfully adapted the FAMQOL for Italian caregivers. This tool is essential for nursing research and practice, providing a culturally relevant assessment of the burden of care. It allows targeted interventions to support health workers, intercepting the QoL of caregivers early and, consequently, the well-being of patients with heart failure.

AI-enabled Landslide Recognition for Effective Public Health Risk Management

The frequency of hazardous landslides has increased worldwide as a result of increased heavy rainfall events and increased human construction activities. The assessment of landslide vulnerability is an essential and effective method for preventing landslides. To resolve these issues, this paper develops a novel Rat Swarm integrated Random Forest (RSRF) method to manage the risk evolved through the landslide. The LISS-III satellite dataset of remote sensing (RS) images was gathered for the study. The preprocessing is performed by employing the z-score normalization to standardize the data images. The rat swarm (RS) optimization enhances the feature selection in the landslide by efficiently forecasting relevant assessment and the random forest (RF) employed to improve the classification accuracy in the landslide recognition process. Various existing methods are utilized for the comparison performance with the proposed RSRF techniques. The outcome shows that the proposed RSRF method improved more significantly than all other existing techniques in terms of area under the curve (AUC (93.3%)), F1-score (85.5%), log-loss (40.4%), and recall (97%).

P20-02 Developing the SciRAPepi tool for assessment of reliability and relevance of observational epidemiological studies

P20-02 Developing the SciRAPepi tool for assessment of reliability and relevance of observational epidemiological studies

P19-26 Moving towards a framework for in vitro risk assessment and determination of human relevance of rodent liver-mediated thyroid toxicity

P19-26 Moving towards a framework for in vitro risk assessment and determination of human relevance of rodent liver-mediated thyroid toxicity

Pain disparities attributed to linguistic minoritization in health care settings

There is a paucity of understanding about how language influences pain communication and outcomes for families who speak languages other than English in the United States. This is of great importance because 21.6% (68 million) of the population speak a language other than English, with 8% (25 million) of the population speaking English “less than very well.” Thus, the aim of this manuscript is to present a narrative review that describes how spoken language influences pediatric pain assessment and outcomes for children who speak languages other than English and discuss hypothesized factors that contribute to pain disparities in hospital settings. Results from the narrative review reveal that children and families who speak languages other than English have disparate pain outcomes compared to children from English-speaking families. It is hypothesized that individual (e.g., clinician bias), interpersonal (e.g., miscommunication of pain concepts), cultural (e.g., misunderstanding of cultural concepts of pain) and systemic (e.g., lack of access to interpretation services) factors influence disparate pain outcomes for linguistically minoritized children. Empirical research, including randomized control trials, regarding hypothesized factors that contribute to pediatric pain disparities for language other than English speaking children is severely lacking. Thus, improved understanding of pain concepts and pain communication processes that center individual, interpersonal, cultural, and systemic factors will enable future research to design interventions that enhance culturally relevant pain assessment and management for families who speak languages other than English. PerspectiveThis article summarizes factors that contribute to pain disparities for children who speak languages other than English. Hypothesized factors that contribute to pain disparities for LOE-speaking children and families include clinician bias, misunderstanding of pain concepts, and lack of access to interpretation services.

Are humans REALLY just big rats and mice? Using the mode of action of aflatoxins, nitrosamines and dioxin-like chemicals for more relevant human-based risk assessments

Are humans REALLY just big rats and mice? Using the mode of action of aflatoxins, nitrosamines and dioxin-like chemicals for more relevant human-based risk assessments

P10-21 Spinosad – mode of action and human relevance assessment of dystocia in rats

P10-21 Spinosad – mode of action and human relevance assessment of dystocia in rats

Construction of a novel predictive model for hope level in patients with primary liver cancer from a positive psychology perspective

This study aimed to investigate the current hope levels in patients with primary liver cancer by analyzing the risk indicators of hope levels, constructing and validating a novel hope score-based predictive model. A total of 206 patients with primary liver cancer admitted to the hepato-pancreato-biliary surgery department of a tertiary hospital from October 2020 to June 2021 were included. The Herth Hope Index was utilized to assess hope levels, and based on the questionnaire results, the patients were categorized into low-hope (≤ 30 points) and high-hope (> 30 points) groups. Single-factor analysis and logistic multivariate regression analysis were conducted to explore the factors influencing hope levels in patients with primary liver cancer. A nomogram was plotted, and a risk prediction model for hope levels in these patients was developed. The predictive performance of the nomogram model was evaluated using calibration plots, the Hosmer–Lemeshow test, and other relevant assessments. Total of 206 patients participated in the questionnaire survey, with 82 patients (39.81%) categorized as belonging to the low-hope group. The results of the single-factor analysis showed statistically significant differences (all P < 0.05) in marriage status, education level, residence, occupation, family monthly income, reason for hospitalization or outpatient visit, pressure caused by the disease on the family, history of cirrhosis, and level of social support between the two groups. These variables were subsequently included in the logistic multivariate regression model. The results of the regression analysis indicated that marriage status, residence, family monthly income, and level of social support were independent risk factors. These four influencing factors were transformed into a visual predictive model, which yielded an area under the ROC curve of 0.931 (95% CI 0.899–0.963) and demonstrated model significance (Hosmer–Lemeshow test: χ2 = 4.008, P = 0.856, P > 0.05). The observed and expected values generated by the Hosmer–Lemeshow test were plotted as a scatter plot with a fitted linear trend, showing good consistency between the predictive model and actual risk. The constructed predictive model developed in this study exhibited good predictive capability for assessing the hope levels of patients with primary liver cancer. This model can assist clinical staff in rapidly identifying the psychological risk of low hope levels in patients, thereby providing valuable insights for the timely implementation of proactive management measures.

Reassessment of French breeding bird population sizes using citizen science and accounting for species detectability.

Higher efficiency in large-scale and long-term biodiversity monitoring can be obtained through the use of Essential Biodiversity Variables, among which species population sizes provide key data for conservation programs. Relevant estimations and assessment of actual population sizes are critical for species conservation, especially in the current context of global biodiversity erosion. However, knowledge on population size varies greatly, depending on species conservation status and ranges. While the most threatened or restricted-range species generally benefit from exhaustive counts and surveys, monitoring common and widespread species population size tends to be neglected or is simply more challenging to achieve. In such a context, citizen science (CS) is a powerful tool for the long-term monitoring of common species through the engagement of various volunteers, permitting data acquisition on the long term and over large spatial scales. Despite this substantially increased sampling effort, detectability issues imply that even common species may remain unnoticed at suitable sites. The use of structured CS schemes, including repeated visits, enables to model the detection process, permitting reliable inferences of population size estimates. Here, we relied on a large French structured CS scheme (EPOC-ODF) comprising 27,156 complete checklists over 3,873 sites collected during the 2021-2023 breeding seasons to estimate the population size of 63 common bird species using hierarchical distance sampling (HDS). These population size estimates were compared to the previous expert-based French breeding bird atlas estimations, which did not account for detectability issues. We found that population size estimates from the former French breeding bird atlas were lower than those estimated using HDS for 65% of species. Such a prevalence of lower estimations is likely due to more conservative estimates inferred from semi-quantitative expert-based assessments used for the previous atlas. We also found that species with long-range songs such as the Common Cuckoo (Cuculus canorus), Eurasian Hoopoe (Upupa epops) or the Eurasian Blackbird (Turdus merula) had, in contrast, higher estimated population sizes in the previous atlas than in our HDS models. Our study highlights the need to rely on sound statistical methodology to ensure reliable ecological inferences with adequate uncertainty estimation and advocates for a higher reliance on structured CS in support of long-term biodiversity monitoring.

Enhancing wine industry sustainability: An empirical test of the sustainable wine assessment tool

The validation of sustainability indicators is a critical process that must be conducted at various stages of development and implementation. In this article, we evaluate the Sustainable Wine Assessment Tool, a framework designed to objectively measure sustainability performance across decision-making levels in the wine value chain. The evaluation process involves two steps. First, the framework is applied to the Portuguese wine sector to assess the indicators' accuracy and scientific quality. Second, the tool's performance is measured against recommended attributes for effective sustainability assessments. Findings suggest that this assessment framework can serve as an effective tool for sustainability monitoring and management efforts. The selected indicators demonstrated reliability, and the theoretical framework exhibits substantial strengths, making it a valuable addition to any indicator-based system. Additionally, the framework's easily interpretable results highlight its potential as an effective communication instrument, in line with the commitment to creating a scientifically robust yet user-friendly tool. This study presents a practical approach to evaluating sustainability indicators using empirical data from scientific research. This method has proven highly effective, particularly in contexts with limited data and where direct comparisons are challenging. It ensures both contextually relevant assessments and robust evaluations of the indicators' accuracy.

Application of Motivational Interviewing in climate-sensitive health counselling – A workshop report

IntroductionThis workshop report explores the application of Motivational Interviewing (MI) in Climate-sensitive Health Counselling (CSHC) within the context of primary health care. As there is a growing interest in the connection of individual health and climate change mitigation, we provide practical guidance on integrating MI techniques in CSHC. MethodsIn June 2023, a 2-day workshop on MI was conducted at the Institute of General Medicine, University of Cologne. The workshop, facilitated by a certified MI trainer, combined theoretical content with practical group exercises. In a second workshop the staff of the Institute of General Medicine discussed the application of MI in CSHC. ResultsWe identified and specified five tools to apply MI in CSHC: A) risk assessment scores, B) relevance assessment scales, C) decision matrices, D) confidence assessment scales, and E) SMART goals. These tools provide practical insights for integrating MI into primary care consultations, offering a time-efficient approach to CSHC. DiscussionOur results present a promising approach for healthcare professionals to incorporate climate-related aspects into health counselling of patients. Feasibility and effects of MI in CSHC are still unclear and require further research. ConclusionThe tools identified provide practical guidance for the application of MI in climate-sensitive health counselling (CSHC) as well as guidance on conducting appropriate studies.

Impact of Rituximab on Remission Rates in Granulomatosis With Polyangiitis: A Systematic Review.

This systematic review evaluates the efficacy of rituximab in inducing and maintaining remission in patients with granulomatosis with polyangiitis (GPA). We conducted a comprehensive search across multiple databases, identifying 81 studies, of which 11 met our inclusion criteria after rigorous screening and assessment for relevance and quality. Our analysis shows that rituximab, compared to traditional treatments such as cyclophosphamide and azathioprine, significantly improves remission rates and reduces relapse frequency in GPA patients. Notably, rituximab's benefits extend across various patient demographics, including pediatric groups, and are evident in different dosing regimens, highlighting its versatility and potential as a first-line therapy. The review also underscores the importance of personalized medicine approaches in managing GPA, as rituximab's effectiveness was particularly pronounced in patients with relapsing disease forms. Future research should focus on long-term outcomes, optimal dosing strategies, and the economic implications of widespread rituximab use in clinical practice. Our findings advocate for the integration of rituximab into standard treatment protocols for GPA, offering new hope for patients afflicted with this challenging autoimmune disorder.

Prognostic Clinical and Biological Markers for Amyotrophic Lateral Sclerosis Disease Progression: Validation and Implications for Clinical Trial Design and Analysis.

With increasing recognition of the value of incorporating prognostic markers into amyotrophic lateral sclerosis (ALS) trial design and analysis plans, there is a pressing need to understand which among the prevailing clinical and biochemical markers have real value, and how they can be optimally used. A subset of patients with ALS recruited through the multi-center Phenotype-Genotype-Biomarker study (clinicaltrials.gov: NCT02327845) was identified as "trial-like" based on meeting common trial eligibility criteria. Clinical phenotyping was performed by evaluators trained in relevant assessments. Serum neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH), urinary p75ECD, plasma microRNA-181, and an array of biochemical and clinical measures were evaluated for their prognostic value. Associations with functional progression were estimated by random-slopes mixed models of ALS functional rating scale-revised (ALSFRS-R) score. Associations with survival were estimated by log-rank test and Cox proportional hazards regression. Potential sample size savings from adjusting for given biomarkers in a hypothetical trial were estimated. Baseline serum NfL is a powerful prognostic biomarker, predicting survival and ALSFRS-R rate of decline. Serum NfL <40pg/ml and >100pg/ml correspond to future ALSFRS-R slopes of ~0.5 and 1.5 points/month, respectively. Serum NfL also adds value to the best available clinical predictors, encapsulated by the European Network to Cure ALS (ENCALS) predictor score. In models of functional decline, the addition of NfL yields ~25% sample size saving above those achieved by inclusion of either clinical predictors or ENCALS score alone. The prognostic value of serum pNfH, urinary p75ECD, and plasma miR-181ab is more limited. Among the multitude of biomarkers considered, only blood NfL adds value to the ENCALS prediction model and should be incorporated into analysis plans for all ongoing and future ALS trials. Defined thresholds of NfL might also be used in trial design, for enrichment or stratified randomisation, to improve trial efficiency. NIH (U01-NS107027, U54-NS092091). ALSA (16-TACL-242).

Presentation of a Locally Advanced Cervical Cancer with Hydrometrocolpos: A Case Report

Introduction: Early stages of cervical cancer remain asymptomatic. Its common symptoms are postcoital bleeding, postmenopausal bleeding, heavy menstrual flow and foul smelling blood stained discharge. Presentation of locally advanced cervical cancer with hydrometrocolpos is unusual. Case report: An 83-year-old woman who presented with a large abdomino-pelvic mass was diagnosed as benign bilateral ovarian tumour with left sided hydroureteronephrosis. During laparotomy, the mass was confirmed to be a hydrometrocolpos with left hydroureteronephrosis secondary to a locally advanced cervical cancer (FIGO IIIB). Histology confirmed the diagnosis of invasive squamous cell carcinoma of the cervix. Conclusion: Besides thorough evaluation via symptoms and signs, radiologists have an important role in guiding surgeons to the most probable diagnosis. In an elderly woman with a stenosed vagina and a pelvic mass with hydroureteronephrosis, gynecologists need to be aware of the possibility of locally advanced cervical cancer, and perform relevant preoperative assessments and plan management.