Tool For Evaluation Of Quality Research Articles

Safety and efficacy of fecal microbiota transplantation for viral diseases: A systematic review of clinical trials.

Gut microbiota play important roles in several diseases like viral infections. In this systematic review, our objective was to assess the efficacy and safety of fecal microbiota transplantation (FMT) in treating various viral diseases. We conducted searches on databases including PubMed, Web of Science, Scopus, and Google Scholar until November 2023. Clinical trials reported outcomes related to safety of FMT or its efficacy in patients with viral diseases were included. We excluded other types of studies that enrolled healthy individuals or patients with other disorders and did not use FMT. The assessment of bias risk was conducted using the National Institutes of Health (NIH) study quality evaluation tool. Eight studies with total 196 participants were included. Viral diseases were human immunodeficiency virus (HIV), hepatitis B, COVID-19 and Clostridioides difficile coinfection, and cytomegalovirus colitis. In hepatitis B cases, HBeAg clearance was significant in those received FMT (p<0.01), while it was not significant in another one (p = 0.19). A clinical response was noted in 37.5% of patients with cytomegalovirus colitis, with an equal percentage achieving clinical remission post-FMT. There was a significant reduction in Clostridioides difficile relapse rate in FMT group than controls in coinfection of Clostridioides difficile and COVID-19 (2.17% vs. 42.5%, p<0.05). In patients with HIV, partial engraftment of the donor microbiome and increases in alpha diversity were observed after FMT. No severe adverse events were reported. Most studies had fair or good qualities. Our findings revealed FMT as a promising, safe treatment for some viral diseases. It improved viral clearance, clinical outcomes, and inflammation. However, the varying responses and small sample sizes call for more trials on FMT in viral diseases.

Fully automated measurement of noise, signal-to-noise ratio, and contrast-to-noise ratio on chest CT images: feasibility and efficiency.

Rapid and accurate measurement of computed tomography (CT) image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) is a clinical challenge. To explore the feasibility of intelligent measurement of chest CT image noise, SNR, and CNR. A total of 300 chest CT scans were included in the study, which was divided into research dataset, internal test dataset, and external test dataset. Based on the research dataset, automatically segment and measure the average CT values and standard deviation (SD) of CT values for background air and lung field under different thresholds to obtain noise, SNR, and CNR results. Using the results of manual measurements as the reference standard, we determine the optimal threshold with the highest consistency. Using internal and external test datasets, validate the consistency of automated measurements of noise, SNR, and CNR at the optimal CT threshold with reference standards. With background air set at -900 HU and lung field at -800 HU as thresholds, the automated measurements of noise, SNR, and CNR demonstrate the highest consistency with the reference standards. At the optimal threshold, the noise, SNR, and CNR measured automatically on both the internal (intraclass correlation coefficient [ICC] = 0.85-0.96) and external (ICC = 0.75-0.85) test datasets exhibit high consistency with their respective reference standards. The method we explored can intelligently measure the noise, SNR, and CNR of chest CT images, exhibits high consistency with radiologists, and offers a novel tool for image quality evaluation and analysis.

ChatGPT as an effective tool for quality evaluation of radiomics research.

This study aimed to evaluate the effectiveness of ChatGPT-4o in assessing the methodological quality of radiomics research using the radiomics quality score (RQS) compared to human experts. Published in European Radiology, European Radiology Experimental, and Insights into Imaging between 2023 and 2024, open-access and peer-reviewed radiomics research articles with creative commons attribution license (CC-BY) were included in this study. Pre-prints from MedRxiv were also included to evaluate potential peer-review bias. Using the RQS, each study was independently assessed twice by ChatGPT-4o and by tworadiologists with consensus. In total, 52 open-access and peer-reviewed articles were included in this study. Both ChatGPT-4o evaluation (average of two readings) and human experts had a median RQS of 14.5 (40.3% percentage score) (p > 0.05). Pairwise comparisons revealed no statistically significant difference between the readings of ChatGPT and human experts (corrected p > 0.05). The intraclass correlation coefficient for intra-rater reliability of ChatGPT-4o was 0.905 (95% CI: 0.840-0.944), and those for inter-rater reliability with human experts for each evaluation of ChatGPT-4o were 0.859 (95% CI: 0.756-0.919) and 0.914 (95% CI: 0.855-0.949), corresponding to good to excellent reliability for all. The evaluation by ChatGPT-4o took less time (2.9-3.5 min per article) compared to human experts (13.9 min per article by one reader). Item-wise reliability analysis showed ChatGPT-4o maintained consistently high reliability across almost all RQS items. ChatGPT-4o provides reliable and efficient assessments of radiomics research quality. Its evaluations closely align with those of human experts and reduce evaluation time. Question Is ChatGPT effective and reliable in evaluating radiomics research quality based on RQS? Findings ChatGPT-4o showed high reliability and efficiency, with evaluations closely matching human experts. It can considerably reduce the time required for radiomics research quality assessment. Clinical relevance ChatGPT-4o offers a quick and reliable automated alternative for evaluating the quality of radiomics research, with the potential to assess radiomics research at a large scale in the future.

Development and Psychometric Evaluation of the Sexual Life Quality Evaluation Tool for Patients With Coronary Heart Disease.

Patients with coronary heart disease (CHD) will have a series of sexual problems, and their sexual life quality can be affected. However, a standardised evaluation tool for patients with CHD was lacking. Therefore, this study aimed to develop a sexual life quality questionnaire for patients with CHD and to evaluate its psychometric properties. Based on previous phenomenological studies, literature analysis and group discussion, questionnaire items were formed. After two rounds of expert consultation and pre-survey, the questionnaire items were modified. Items were screened by item analysis. Exploratory factor analysis and confirmatory factor analysis were used to explore and confirm the structure of the questionnaire. Content validity and criterion validity were evaluated using the expert consultation and correlation analysis, respectively. The questionnaire reliability was evaluated using internal consistency, split half reliability, and test-retest reliability. The sexual life quality questionnaire of patients with CHD was developed, which included two versions: male version and female version. The male version of the questionnaire contains 3 dimensions and 20 items, while the female version contains 3 dimensions and 17 items. After reliability and validity test, the two versions of the questionnaire have good reliability and validity. In this study, the sexual life quality questionnaire of patients with CHD was developed and its psychometric properties were confirmed, which can be used to evaluate the sexual life quality of patients with CHD. The development of a sexual life quality evaluation tool for patients with coronary heart disease to provide objective and quantitative tools for clinical staff to evaluate patients' sexual life status. Patients were invited to participate in a questionnaire survey for this study.

The Design of Health Promoting Outdoor Environments for People with Young-Onset Dementia-A Study from a Rehabilitation Garden.

Health-promoting outdoor environments designed for people living with dementia (PLwD) has proved to be an effective non-pharmacological intervention for treatment of symptoms and improved well-being. However, for individuals with Young-Onset Dementia (YOD), who have particular symptoms and needs, the content and design of these environments are underexplored. This study aimed to explore the needs of individuals with YOD in a garden setting, to generate design-related knowledge for 'dementia-friendly' outdoor environments, while contributing to the field of Evidence-Based Design (EBD). An 8-week long nature-based program was carried out in Alnarp's rehabilitation garden, a specifically developed garden based on research from e.g., landscape architecture, environmental psychology and medical science. The study used a triangulation of qualitative methods including six participants with YOD and a multidisciplinary team of five staff members. Content analysis was used for all gathered data, including 17 semi-structured interviews with participants with YOD and with staff. Data collection and analysis was performed based on the evidence-based Quality Evaluation Tool (QET). The study led to a target group adapted version of the QET for people with YOD containing 20 developed environmental qualities for designers to pursue in therapeutic gardens, including the additional quality of Calmness. A progression was noted, as a result of perceived positive effects during the intervention, indicating possible change and development of the group's needs and preferences in the outdoors.

Efficacy and safety analysis of continued nursing of complications in discharged patients after percutaneous transhepatic biliary drainage.

Percutaneous hepatobiliary drainage (PTCD) is an effective method for the treatment of biliary obstruction and other diseases, but postoperative complications are still one of the important problems faced by patients. Continuous nursing is a comprehensive nursing model that plays an important role in postoperative recovery. The purpose of this study was to investigate the effect of continuous nursing on the incidence of complications in patients after PTCD surgery through meta-analysis and to evaluate its efficacy and safety. To evaluate the effect of extended nursing on the incidence of complications in discharged patients after percutaneous transhepatic biliary drainage (PTBD). Randomized controlled studies on PTBD postdischarge extended care were identified in the CNKI, Wanfang, VIP, CBM, PubMed, Cochrane Library, Embase, Web of Science, and other databases. The quality of the included studies was evaluated using the Joanna Briggs Institute of Australia literature quality evaluation tool, and a meta-analysis of the included studies was performed with RevMan 5.4 software. Finally, 9 studies were included, with a total sample size of 854 patients (425 patients in the control group and 429 patients in the intervention group). Meta-analysis revealed that extended care effectively reduced biliary tract infection (RR: 0.42, 95%CI: 0.30-0.57), puncture wound infection (RR: 0.19, 95%CI: 0.06-0.65), catheter protrusion or displacement in discharged patients after PTBD (RR: 0.31, 95%CI: 0.18-0.54), catheter blockage (RR: 0.23, 95%CI: 0.13-0.42), skin infection around the drainage tube (RR: 0.30, 95%CI: 0.12-0.77), and catheter-related readmissions (RR: 0.34, 95%CI: 0.18-0.65) (P < 0.05). Compared with conventional discharge care, extended care can effectively reduce the occurrence of complications such as biliary tract infection, puncture wound infection, catheter prolapse or displacement, catheter blockage, skin infection around the drainage tube, and catheter-related readmission in discharged patients after PTBD.

Development and initial validation of a data quality evaluation tool in obstetrics real-world data through HL7-FHIR interoperable Bayesian networks and expert rules.

The increasing prevalence of electronic health records (EHRs) in healthcare systems globally has underscored the importance of data quality for clinical decision-making and research, particularly in obstetrics. High-quality data is vital for an accurate representation of patient populations and to avoid erroneous healthcare decisions. However, existing studies have highlighted significant challenges in EHR data quality, necessitating innovative tools and methodologies for effective data quality assessment and improvement. This article addresses the critical need for data quality evaluation in obstetrics by developing a novel tool. The tool utilizes Health Level 7 (HL7) Fast Healthcare Interoperable Resources (FHIR) standards in conjunction with Bayesian Networks and expert rules, offering a novel approach to assessing data quality in real-world obstetrics data. A harmonized framework focusing on completeness, plausibility, and conformance underpins our methodology. We employed Bayesian networks for advanced probabilistic modeling, integrated outlier detection methods, and a rule-based system grounded in domain-specific knowledge. The development and validation of the tool were based on obstetrics data from 9 Portuguese hospitals, spanning the years 2019-2020. The developed tool demonstrated strong potential for identifying data quality issues in obstetrics EHRs. Bayesian networks used in the tool showed high performance for various features with area under the receiver operating characteristic curve (AUROC) between 75% and 97%. The tool's infrastructure and interoperable format as a FHIR Application Programming Interface (API) enables a possible deployment of a real-time data quality assessment in obstetrics settings. Our initial assessments show promised, even when compared with physicians' assessment of real records, the tool can reach AUROC of 88%, depending on the threshold defined. Our results also show that obstetrics clinical records are difficult to assess in terms of quality and assessments like ours could benefit from more categorical approaches of ranking between bad and good quality. This study contributes significantly to the field of EHR data quality assessment, with a specific focus on obstetrics. The combination of HL7-FHIR interoperability, machine learning techniques, and expert knowledge presents a robust, adaptable solution to the challenges of healthcare data quality. Future research should explore tailored data quality evaluations for different healthcare contexts, as well as further validation of the tool capabilities, enhancing the tool's utility across diverse medical domains.

Fuzzy Testing Model Built on Confidence Interval of Process Capability Index CPMK

A variety of process capability indices are applied to the quantitative measurement of the potential and performance of processes in manufacturing. As it is easy to understand the formulae of these indices, this method is easy to apply. Furthermore, a process capability index is frequently utilized by a manufacturer to gauge the quality of a process. This index can be utilized by not only an internal process engineer to assess the quality of the process but also as a communication tool for an external sales department. When the manufacturing process deviates from the target value T, the process capability index CPMK can be quickly detected, which is conducive to the promotion of smart manufacturing. Therefore, this study applied the index CPMK as an evaluation tool for process quality. As noted by some studies, process capability indices have unknown parameters and therefore must be estimated from sample data. Additionally, numerous studies have addressed that it is essential for companies to establish a rapid response mechanism, as they wish to make decisions quickly when using a small sample size. Considering the small sample size, this study proposed a 100 (1 − α)% confidence interval for the process capability index CPMK based on suggestions from previous studies. Subsequently, this study built a fuzzy testing model on the 100 (1 − α)% confidence interval for the process capability index CPMK. This fuzzy testing model can help enterprises make decisions rapidly with a small sample size, meeting their expectation of having a rapid response mechanism.

The rise in popularity of central bank digital currencies. A systematic review

Central bank digital currencies (CBDCs) have been growing in popularity since 2018, as worldwide countries explore their impact and implementation options. This article analyzes the state of research around central bank digital currencies and the evolving landscape of CBDCs, and explores emerging areas of research and trends by using the PRISMA method and VOSviewer, with the goal of showing the main opportunities and challenges related to them. AMSTAR, DistillerSR, Eppi-Reviewer, ROBIS, and SRDR were the screening and quality evaluation tools employed for study eligibility criteria, design screening and content selection, text analysis data extraction, methodological quality predictors, and reliable and reproducible evidence assessment. A total of 1024 articles on central bank digital currencies were identified in Scopus and the Web of Science, out of which 747 have been included in the review (documents which were not in English language and not categorized as journal articles were excluded). Through an analysis of the relevant literature, the study categorizes CBDC research into positive, negative and neutral research, with a particular focus on sustainability issues, and conducts a keyword co-occurrence analysis using VOSviewer, following a narrowing down of the relevant articles to be included in the study by applying the PRISMA framework. This generates an overall view for experts and researchers who can use the main analyzed features of CBDCs and adapt them accordingly, taking into account relevant macroeconomic characteristics. The study highlights the need to continue interdisciplinary research, by adapting the research and CBDC characteristics to keep up with the latest technologies and with the shift towards green finance, and explores the elaborate relationship between finance, technology and sustainability.

Chemical fingerprinting and multicomponent quantitative analysis for quality control of Cinnamomum tamala collected from Western Himalaya by HPLC-DAD

Cinnamomum tamala, commonly known as “Indian bay leaf” or “Tejpat”, is an economically important plant widely used in medicine, food and cosmetic industries. Growing demand for its leaf and bark in the herbal trade and non-availability of quality materials lead to large-scale species admixture and adulteration in the global market. The present study aims at developing a validated HPLC-DAD (High-performance liquid chromatography coupled with diode array detection) method and multiple markers-based chemical fingerprints for quality evaluation of C. tamala leaf extracts. Five bioactive compounds, viz., coumarin, cinnamyl alcohol, cinnamic acid, cinnamaldehyde and cinnamyl acetate, were identified and quantified in 28 samples collected from the western Himalayan region of India. The chromatographic separation was achieved on Shimadzu Shimpak C18 column (dimension 250 × 4.6 mm, pore size 5 μm) with a gradient elution of mobile phase using acetonitrile and 0.1 percent phosphate buffer and the chromatograms were obtained at a wavelength of 265 nm. The method validation was done by analyzing the linearity, LOD, LOQ, precision, stability, repeatability and recovery rates of standard compounds for quantitative analysis. The values of coefficient of correlation (R2) were found to be close to 1 for linearity and similarity analysis; and standard deviation was less than 3 percent in case of precision, stability, repeatability and recovery rates. The content of target compounds such as coumarin, cinnamyl alcohol, cinnamic acid, cinnamaldehyde and cinnamyl acetate varied in the range of 0–1.09, 0–0.05, 0.07–0.51, 0.39–1.27 and 0–0.27 percent, respectively. In the chemical fingerprint of C. tamala leaves, a total of 13 peaks were assigned as common peaks. The results of the study indicated that the HPLC method now developed combining chemical fingerprint with quantification of analytes could serve as a useful tool for quality evaluation of herbal raw materials of C. tamala and a valuable reference for further study.

MORTALITY AND ASSOCIATED FACTORS AMONG INTENSIVE CARE UNIT ADMITTED ADULT PATIENTS WITH MECHANICAL VENTILATION IN ETHIOPIA: A SYSTEMATIC REVIEW AND META-ANALYSIS.

Introduction: The global demand for intensive care has risen, given its effectiveness in lowering mortality rates. Mechanical ventilation (MV) is integral to intensive care but introduces risks such as ventilator-associated complications. Ethiopia experiences a high intensive care unit (ICU) mortality rate. Objective: This systematic review and meta-analysis aim to comprehensively synthesize evidence on the mortality of adults undergoing MV in Ethiopia and identify associated factors. Methods: The study extensively searched databases and gray literature for research on MV outcomes, trends, and associated factors in adult ICUs. Adhering to the 2020 PRISMA checklist, a systematic review and meta-analysis sought to establish the mortality rate and key determinants among adult ICU patients on MV. The search incorporated keywords and MeSH terms, excluding studies with unsound methodologies or missing data. Data extraction, quality assessment, and analysis followed established protocols, including the JBI tool for methodological quality evaluation. STATA version 17.0 facilitated analysis, assessing heterogeneity, publication bias, and performing sensitivity and meta-regression analyses. Results: The pooled mortality rate among adult ICU patients undergoing MV was 48.61% (95% CI: 40.82, 56.40%). Significant mortality-contributing factors included medical diagnosis, Glasgow Coma Scale score, sepsis/septic shock, sedation use, multiple-organ dysfunction syndrome, and cardiovascular disease. Although some pooled odds ratios seemed insignificant, closer examination revealed significant associations in individual studies. Conclusion : The study underscores the urgent need for further research, improved ICU infrastructure, and healthcare personnel training in Ethiopia to enhance outcomes for mechanically ventilated patients. Identified factors offer valuable insights for targeted interventions, guiding tailored treatment strategies to reduce mortality. This study contributes to understanding mortality and associated factors in MV patients, informing initiatives to improve critical care outcomes in Ethiopia.

Development of a blended teaching quality evaluation scale (BTQES) for undergraduate nursing based on the Context, Input, Process and Product (CIPP) evaluation model: A cross-sectional survey

ObjectiveDeveloping a nursing undergraduate blended teaching quality evaluation tool based on the Context, Input, Process and Product model and evaluating its reliability and validity. BackgroundBlended teaching is a commonly used teaching method in medical education, but there are limited tools available to effectively measure the quality of blended teaching. DesignA Delphi study and cross-sectional study. MethodsUsing the Context, Input, Process and Product model as the theoretical framework, a questionnaire was developed through literature review, expert consultation and pre-survey. From April to July 2023, 448 students from a certain university were selected as the research subjects and the questionnaire was examined for reliability and validity through a survey method. ResultsThe blended teaching quality evaluation scale with 35 items includes four dimensions Context, Input, Process and Product. The content validity and reliability of the blended teaching quality evaluation scale are both good, with a content validity index of 0.934 for the total scale and a content validity index of 0.750–1.00 for each item. The SEM shows that χ2/df = 6.89, RMSEA = 0.115, CFI = 0.882, NFI=0.865, RFI= 0.855, IFI = 0.882, TLI = 0.873. The Cronbach’s α coefficient of the total scale is 0.991 and the Cronbach’s α coefficient for each dimension is 0.944–0.984. ConclusionThe scale is based on the characteristics of blended learning and quality evaluation covers all aspects of teaching. It can accurately evaluate the quality of teaching, evaluate the problems in the teaching process based on the teaching quality score and propose reasonable teaching improvement suggestions based on the weak links in the teaching process.

Abstract 2344: Federated image quality assessment of prostate MRI scans in a multi-institutional setting

Abstract Introduction: Reliability of machine and deep learning models on medical images can be compromised by the presence of image artifacts of variability in image acquisition. This is further exacerbated when validating model performance across multiple institutions, where multiple acquisition protocols and scanner equipment may result in significant numbers of outlier scans. We developed a privacy-preserving outlier identification algorithm via federated MR imaging quality evaluation of a distributed multi-institutional cohort of prostate MRI scans. Methods: This retrospective study utilized T2-weighted prostate MRI scans from 1 public collection (used as a template) and 3 federated institutions. An open-source MR image quality evaluation tool (MRQy) was implemented via Docker within the RhinoHealth Federated Computing Platform (FCP). This enabled remote extraction of 9 specific metadata values and remote computation of 15 quality measurements from each scan, while ensuring confidentiality of patient data by avoiding direct access to patient images and information. Centralized analysis of extracted image quality attributes utilized a rule-based classifier to determine whether individual metadata or measurement values for a given MRI scan fell within or outside predefined bounds: (i) ±20% of template metadata values, (ii) 5th - 95th percentile range of template measurement values. Scans were considered outliers if more than 60% of their image quality attributes fell outside predefined bounds. Results: In total, 630 MRI scans from 3 institutions were analyzed in a federated manner. 344 MRI scans from 1 public collection formed a benchmark cohort to calibrate the rule-based classifier and determine predefined bounds for outlier detection. Centralized analysis of federated image quality attributes showed marked differences in the number of outliers per institution (3%, 19%, 79% for Institutions 1, 2, 3, respectively). Further analysis of Institution 3 determined significant intensity and resolution differences compared to other institutions, requiring extensive post-processing prior to downstream analysis. Conclusion: Federated image quality assessment can allow for distributed, privacy preserving analysis of outliers and thus curate multi-institutional cohorts of consistent quality for downstream machine learning tasks. Further analysis of the impact of quality-based curation on federated machine learning applications is currently underway. Citation Format: Mohsen Hariri, Prathyush Chirra, Malhar Patel, Tal Tiano Einat, Ittai Dayan, Alex Tonetti, Yuval Baror, Tristan Barrett, Nikita Sushentsev, Joshua D. Kaggie, Shuaiyu Yuan, Dufan Wu, Baihui Yu, Zhiliang Lyu, Cheyu Hsu, Weichung Wang, Smitha Krishnamurthi, Satish E. Viswanath. Federated image quality assessment of prostate MRI scans in a multi-institutional setting [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2344.

The role of physiotherapy interventions in the management of temporomandibular joint ankylosis: a systematic review and meta-analysis

BackgroundThe main aim of this systematic review and meta-analysis was to identify peer-reviewed scholarly journal articles reporting the significance of physiotherapy interventions in managing TMJ ankylosis. In addition, this study aimed to critically appraise the existing evidence on the prevalence and clinical presentation, physiotherapy intervention approaches, efficacy of physiotherapy interventions, adverse effects, and safety of physiotherapy interventions in TMJ ankylosis management.MethodsAn all-inclusive literature search was conducted using the PubMed, Google Scholar, and Scopus electronic databases. The researchers screened the potential articles and assessed for eligibility based on the reported inclusion and exclusion criteria. The quality evaluation tool for observational cohort and cross-sectional studies developed by the National Institutes of Health (NIH) and the Cochrane Collaboration's Risk of Bias Tool were used to assess the quality of the included studies. Researchers also comprehensively analyzed the data, reported the results, and discussed them according to the predominant themes.ResultsThe primary electronic database search yielded 409 articles, of which 25 were included in this review. A secondary search was conducted from citations of the included studies, yielding 74 articles, of which six were included in the study. A significantly higher prevalence of bony ankylosis than fibrous ankylosis, with an overall effect size of p < 0.00001. In addition, there were significantly more unilateral than bilateral presentations with an overall effect size of p < 0.00001. Moreover, there were 78 reported complications out of 245 subjects according to five included studies demonstrating a significant effect size with p = 0.001 following the treatment protocols.ConclusionThis study highlighted the prevalence of bony ankylosis in temporomandibular joint ankylosis, emphasizing its impact on patients' well-being. On the other hand, the results show that physiotherapy is essential to optimize postoperative outcomes and minimize adverse events such as re-ankylosis. Practitioners and healthcare professionals must monitor postoperative recovery and ensure strict adherence to physiotherapy protocols for optimal outcomes.

Analisis Butir Soal Penilaian Akhir Tahun Pelajaran Bahasa Arab Kelas VII MTs Al-Ma’arif Rakit Banjarnegara Jawa Tengah

Analysis of question items is very important in learning evaluation because it determines the quality of the evaluation tool used. The aim of this research is to analyze the results of the final semester Arabic evaluation at the Al-Ma’arif Junior High School. The researchers conducted a series of tests consisting of measurements of validity, reliability, differential strength, difficulty level, and debilitating power. The method used in this research is quantitative descriptive method. The population of the study was 25 students of the 7th grade in the IT High School Building Amal School Year 2022/2023. As for the sample used, the final evaluation of the Arabic semester of the teaching year 2022/2023 was documentation and observation. The result of this study is; in the validity test found 30% of questions can be said to be valid. Then the remaining 70% is declared invalid because it has a significance value &lt;0,05 and the value of R count is smaller than R Table. Then in the reliability test found using Cronbach's Alpha method, and the element of this question is worth 0.625 with the number of questions (N of items) amounting to 40. Difference shows 6 questions in the category "Bad once in distinction, 25 questions in category "badly once in differentiation", 6 issues in the categories "Sufficient enough in distinguishment", 3 questions with category "Good once in distinctness" whereas with the question of category "good once in discrimination" was not found. Difficulty level there are 25 questions with very easy questions category, 14 questions with easy categories, 1 questions with difficult categories. The fractional strength of the answer option A indicates that the question is not working well with the student as the data indicates more fractionals of the question are rejected than accepted. The same applies to options B, C, and D. Thus, a question that does not meet the revised criteria can be concluded or a new question created and tested again. This research can be used as evaluation material for teachers to create quality evaluation tools. Further research can focus on discussing the development of superior evaluation instruments.

Experiences regarding Home Care for Older Adults from the Viewpoint of Family, Paid Caregivers, Nurses, and Experts: A Qualitative Study

Home care (HC) is recommended for older adults who want to live at home as long as possible despite life-limiting conditions. It is more convenient and cost-effective than institutionalization and hospitalization. However, HC for older adults in Iran faces many challenges. The purpose of this study was to explore the perspectives of different stakeholders involved in HC for older adults about their experiences and suggestions for HC improvement. This qualitative study was conducted based on the explorative content analysis approach between 2021 and 2022 in Tabriz, Iran. The participants were selected using the purposeful sampling method, and the data were collected through in-depth semistructured personal interviews. A total of 27 individuals who participated in individual interviews were family members, HC workers (including nurses and unqualified paid caregivers), heads of counseling and nursing care at home centers, and experts who had clinical or research experience in the field of geriatric care. Collected data were categorized into three main themes: defects in home care governance, concern about the efficiency of home care, and caregivers’ job security concerns. These themes reflected the problems of HC, such as conflicts between multiple trustees, lack of evaluation and monitoring, inadequate competence and financial barriers of families and caregivers, and poor integration and coordination of services. Therefore, it is recommended to develop a national model for HC for Iranian older adults and allocation of different financial resources for HC, implementing quality improvement and evaluation tools, enhancing the training of caregivers, providing them with adequate compensation and benefits, and ensuring the safety and quality of services. These findings can inform the policymakers and planners of care services about the needs and challenges of this population and facilitate the collaboration among different stakeholders to provide better HC for older adults.

Applying Librarian-Created Evaluation Tools to Determine Quality and Credibility of Open Access Library Science Journals

abstract: This article explores the application of journal quality and credibility evaluation tools to library science publications. The researchers investigate quality and credibility attributes of forty-eight peer-reviewed library science journals with open access components using two evaluative tools developed and published by librarians. The results identify common positive and negative attributes of library science journals, compare the results of the two evaluation tools, and discuss their ease of use and limitations. Overall, the results show that while library science journals do not fall prey to the same concerning characteristics that librarians use to caution other researchers, there are several areas in which publishers can improve the quality and credibility of their journals.

Solvent retention capacity as a useful tool for quality evaluation of flours produced from Slovak bred wheat varieties

Abstract Wheat varieties (IS Danubius and MS Luneta) bred in Slovakia were assessed for their bakery potential. It was found that flour produced from IS Danubius was characterised by significantly higher level of wet and dry gluten content (30.91 and 20.53 %, respectively) and exhibited higher gluten swelling capacity (29.3 %) in comparison to commercial wheat flour that is usually available in Slovak markets. Solvent retention capacity (solvation in specific solvents) of the tested flours was also determined. The measurements showed that these parameters significantly differ from those determined for commercially available flour, whereas the flour produced from IS Danubius wheat variety had the highest lactic acid retention capacity (124.15 %). Correlation analysis indicated strong positive correlations between solvent retention capacity values and gluten characteristics. Furthermore, it was found that baked rolls prepared from IS Danubius flour showed significantly higher loaf volume compared to commercial wheat flour. This study proves lactic acid retention capacity and sucrose retention capacity as parameters enabling the prediction of gluten network quality in dough and of qualitative parameters of baked goods. From the sensory evaluation resulted that the highest score for overall acceptance was observed in IS Danubius baked rolls, which significantly differs from both MS Luneta and commercial wheat flour.

Midwives' experience of respectful maternity care (RMC) globally: A meta-synthesis.

Respectful maternity care (RMC) emphasizes the social and relational elements of maternity care and is a crucial part of initiatives to improve service accessibility and quality. Women's perceptions have influenced much of what we know about RMC and contempt in the labor ward. In order to understand midwives' perspectives of RMC, this meta-synthesis focused on them. For this inquiry, the databases PubMed/Medline, Embase, Web of Science, and Scopus were searched to find studies on midwives' perceptions of RMC written between 2011 and April 20th 2023. The included articles were to English language restriction. The results of the included research were examined using thematic analysis. Using the inclusion criteria, 84 potentially relevant articles were carefully reviewed, and only 22 were ultimately selected for synthesis. The quality of the qualitative study was assessed using the CASP, a tool for quality evaluation and PRISMA guidelines were followed. Using the MAXQDA program, the cited quotes and the original authors' interpretations were combined. There were 22 studies total, thematic synthesis was determined to be appropriate for a total of 22 research studies. Following are the topics which we summarized our analysis: in six major themes: Midwives' conceptualizations of RMC, Midwives commitment to woman's rights, The value and impact of RMC to midwives, Midwife's perception of disrespectful care, Challenges in providing respectful maternity care, and Midwives' recommendations for optimal RMC practice. In addition to specific focus on promoting cooperation, policies to enhance health systems and strategic consideration of the midwifery profession's future are required.

Social robotics for children: an investigation of manufacturers' claims.

As the market for commercial children's social robots grows, manufacturers' claims around the functionality and outcomes of their products have the potential to impact consumer purchasing decisions. In this work, we qualitatively and quantitatively assess the content and scientific support for claims about social robots for children made on manufacturers' websites. A sample of 21 robot websites was obtained using location-independent keyword searches on Google, Yahoo, and Bing from April to July 2021. All claims made on manufacturers' websites about robot functionality and outcomes (n = 653 statements) were subjected to content analysis, and the quality of evidence for these claims was evaluated using a validated quality evaluation tool. Social robot manufacturers made clear claims about the impact of their products in the areas of interaction, education, emotion, and adaptivity. Claims tended to focus on the child rather than the parent or other users. Robots were primarily described in the context of interactive, educational, and emotional uses, rather than being for health, safety, or security. The quality of the information used to support these claims was highly variable and at times potentially misleading. Many websites used language implying that robots had interior thoughts and experiences; for example, that they would love the child. This study provides insight into the content and quality of parent-facing manufacturer claims regarding commercial social robots for children.