Presentation of the 32 items on the consolidated criteria for reporting qualitative research (COREQ) checklist. The information is used for the report on a focus group that was conducted as part of the preparation of a publication. The title of the article is (as of submission on 18.03.2024): 'Streamlining Concept Mapping for Clinical Data Enrichment: A Process-focused approach in Medical Data Warehouses'.

This expert panel study was conducted from 2018 to 2019 at Isfahan University of Medical Sciences, Iran. It included 2 phases: developing a framework in 2 steps and forming an expert panel to validate the framework in 3 rounds. We adapted a 3-stage narrative medicine model with 9 training activities from Gagne’s theory, developed a framework, and then produced a checklist to validate the framework in a multidisciplinary expert panel that consisted of 7 experts. The RAND/UCLA appropriateness method was used to assess the experts’ agreement. The first-round opinions were received by email. Consensus was achieved in the second and third rounds through face-to-face meetings to facilitate interactions and discussion among the experts

[Context/Motivation] Integrating user feedback into software development enhances system acceptance, decreases the likelihood of project failure and strengthens customer loyalty. Moreover, user feedback plays an important role in software evolution, because it can be the basis for deriving requirements. [Problems] However, to be able to derive requirements from feedback, the feedback must contain actionable change requests, that is contain detailed information regarding a change to the application. Furthermore, requirements engineers must know how many users support the change request. [Principal ideas] To address these challenges, we propose an approach that uses structured questions to transform non-actionable change requests into actionable and validate the change requests to assess their support among the users. We evaluate the approach in the large-scale research project SMART-AGE with over 200 older adults, aged 67 and older. [Contribution] We contribute a set of templates for our questions and our process, and we evaluate the approach’s feasibility, effectiveness and user satisfaction, resulting in very positive outcomes.

IntroductionThere is a need to develop harmonized procedures and a Minimum Data Set (MDS) for cross-border Multi Casualty Incidents (MCI) in medical emergency scenarios to ensure appropriate management of such incidents, regardless of place, language and internal processes of the institutions involved. That information should be capable of real-time communication to the command-and-control chain. It is crucial that the models adopted are interoperable between countries so that the rights of patients to cross-border healthcare are fully respected.ObjectiveTo optimize management of cross-border Multi Casualty Incidents through a Minimum Data Set collected and communicated in real time to the chain of command and control for each incident. To determine the degree of agreement among experts.MethodWe used the modified Delphi method supplemented with the Utstein technique to reach consensus among experts. In the first phase, the minimum requirements of the project, the profile of the experts who were to participate, the basic requirements of each variable chosen and the way of collecting the data were defined by providing bibliography on the subject. In the second phase, the preliminary variables were grouped into 6 clusters, the objectives, the characteristics of the variables and the logistics of the work were approved. Several meetings were held to reach a consensus to choose the MDS variables using a Modified Delphi technique. Each expert had to score each variable from 1 to 10. Non-voting variables were eliminated, and the round of voting ended. In the third phase, the Utstein Style was applied to discuss each group of variables and choose the ones with the highest consensus. After several rounds of discussion, it was agreed to eliminate the variables with a score of less than 5 points. In phase four, the researchers submitted the variables to the external experts for final assessment and validation before their use in the simulations. Data were analysed with SPSS Statistics (IBM, version 2) software.ResultsSix data entities with 31 sub-entities were defined, generating 127 items representing the final MDS regarded as essential for incident management. The level of consensus for the choice of items was very high and was highest for the category ‘Incident’ with an overall kappa of 0.7401 (95% CI 0.1265–0.5812, p 0.000), a good level of consensus in the Landis and Koch model. The items with the greatest degree of consensus at ten were those relating to location, type of incident, date, time and identification of the incident. All items met the criteria set, such as digital collection and real-time transmission to the chain of command and control.ConclusionsThis study documents the development of a MDS through consensus with a high degree of agreement among a group of experts of different nationalities working in different fields. All items in the MDS were digitally collected and forwarded in real time to the chain of command and control. This tool has demonstrated its validity in four large cross-border simulations involving more than eight countries and their emergency services.

ABSTRACT Purpose: To develop and validate a new test of specific technical skills required for microsurgical varicocelectomy. Materials and Methods: An electronic questionnaire was sent to 558 members of the Brazilian Society of Urology for the validation of the task-specific checklist (TSC) for assessment of microsurgical varicocelectomy. Participants who had experience in this procedure were selected as judges. For construct validation, 12 participants including attending urologists and urological residents in training were recruited for voluntary participation. We formed a group of three experts and a group of nine novices, who had to perform the steps of microsurgical varicocelectomy on a simulation model using human placenta. Each participant was filmed and two blinded raters would then evaluate their performance using the TSC of microsurgical varicocelectomy. Results: 14 judges were recruited. The assessment tool was reformulated, according to the judges suggestions and had the content validity achieved. The final version of the TSC was comprised of the task-specific score, a series of 4 items scored in a binary fashion designed for microscopic sub-inguinal varicocelectomy. The differences between the performance of participants with different levels of experience reflected the construct validity. The reliability between the raters was high. The mean time required to complete the training of microsurgical varicocelectomy in simulation model was significantly shorter for experts compared to novices (201 vs. 496 seconds, p=0.01). Conclusions: This preliminary study suggests that the task-specific checklist of microsurgical varicocelectomy is reliable and valid in assessing microsurgical skills.

ABSTRACT Objective: To validate the "Checklist for Managing Critical Patients' Daily Awakening" instrument. Methods: This was a descriptive study that used a quantitative approach for content validation using the Delphi method to obtain the consensus of experts who evaluated the instrument using a Likert scale. The validity index of each item of the instrument was calculated, with a minimum consensus parameter above 0.78. Results: Three Delphi rounds were required, starting with 29 experts and ending with 15 experts who were invited in person and via e-mail to participate in the study. Of the 15 items in the instrument, 13 had a content validity index > 0.78. The instrument maintained its attributes, and six items were reformulated without the need to exclude any of them. The validated items enabled the assessment of and decisions regarding the dimensions related to the level of sedation and agitation, vital signs, ventilatory parameters and pain. The instrument presented psychometric indicators with acceptable content validity. Conclusion: The instrument proposed in the study exhibited content validity for most of its items and emerges as a practical strategy for the management of the daily interruption of sedation of critical patients.

This data set contains the data files and the R-code accompanying the titled manuscript."1_literature database.xlsx" contains citations and basic information on the 327 papers used in the meta-analysis."2_validation scale checklist.xlsx" contains the validation scores extracted for 546 targeted environmental DNA assays contained in the literature database and a separate spreadsheet with variable definitions."3_validation_scale_R_script.R" and "4_HTML file R script validation scale.html" contain the R script which is the basis for all calculations and figures included in the manuscript."5_valscale_basic", "6_checklist_metrics_1.csv", "7_val_var_summary.csv", "8_baseforbubbleplot.csv", "9_checklist_metrics_2.csv", "10_forbox1.csv", and "11_forbox2.csv" contain subsets or transformations of the data contained in "validation scale checklist.xlsx" and are accessed by the R-script, which also contains content descriptions of these files.

This dataset is dedicated to the late Mr. Asakaia Balawa who was a marine conservation champion and custodian of indigenous Fijian environmental and cultural knowledge.

This checklist records the indigenous names in the Navakavu dialect for various types of finfish (ilava), including true finfishes, sharks, rays, and eels. It pertains to the customary fishing grounds (iqoliqoli) and lands (vanua) of the people of Vanua Navakavu, situated on the Muaivusu Peninsula, east of Suva, the capital city of Fiji, in southeastern Viti Levu. Although the main focus is on marine species, information has been also included on brackish and freshwater species.

The list of species is derived from a 2008 Technical Report published by the Coral Reefs Initiative for the Pacific (Initiatives Corail pour le Pacifique, CRISP), authored by the same individuals. For the purpose of this checklist, all scientific names extracted from the Technical Report were verified against the World Register of Marine Species database (www.marinespecies.org); specifically using the SiB-Colombia Open Refine Scripts for Biodiversity Data Quality script for Taxonomic Validation with WORMS's API (Marine data), that is available on GitHub. Species names that were found to be synonyms have been recorded using their valid names as of May 2023.

The purpose of this list is to preserve the traditional knowledge held by the people of Vanua Navakavu concerning their marine resources.

The database repository for Screening Accuracy and Cut-offs of the Polish Version of Communication and Symbolic Behavior Scales-Developmental Profile Infant-Toddler Checklist

Data extraction sheet for mapping study regarding alignment of requirements engineering and software testing

Data for the validation of the Spanish version of the Broset Violence Checklist (personal data removed)

The global Pharmaceutical Cleaning Validation Market size was valued at USD 674.52 million in 2025 and is projected to grow from USD 764.70 million in 2026 to USD 1,271.61 million by 2033, exhibiting a CAGR of 6.41% during the forecast period. The growth of the market is attributed to the increasing demand for pharmaceutical products, stringent regulatory requirements for pharmaceutical manufacturing, and the growing adoption of automated cleaning systems. The market is segmented by validation type, industry, cleaning method, and region. By validation type, the process validation segment is expected to hold the largest market share during the forecast period, owing to the increasing focus on ensuring the safety and efficacy of pharmaceutical products. By industry, the pharmaceutical manufacturing segment is anticipated to dominate the market, due to the stringent regulatory requirements for pharmaceutical manufacturing. By cleaning method, the automated cleaning segment is projected to witness the fastest growth during the forecast period, as it offers advantages such as improved efficiency and reduced contamination risks. By region, North America is expected to account for the largest market share, owing to the presence of well-established pharmaceutical manufacturing companies and stringent regulatory requirements. Recent developments include: The global pharmaceutical cleaning validation market is projected to reach USD 7.33 billion by 2032, exhibiting a CAGR of 6.41% during the forecast period (2024-2032). The growing demand for sterile and high-quality pharmaceutical products, stringent regulatory compliance, and advancements in cleaning technologies drive market growth. Key industry developments include:The partnership between Ecolab and Avantor: Ecolab acquired Avantor's Life Sciences cleaning and disinfection business, expanding its portfolio of pharmaceutical cleaning solutions.FDA's Focus on Cleaning Validation: The FDA issued a draft guidance emphasizing the importance of cleaning validation in ensuring product quality and patient safety.Rise of Contract Cleaning Services: Pharmaceutical companies increasingly outsource cleaning validation services to specialized providers for cost-effectiveness and expertise.Technological Advancements: Automation, data analytics, and remote monitoring systems are transforming cleaning validation processes, improving efficiency and reducing risks.Growing Emphasis on Sustainability: The industry is adopting eco-friendly cleaning agents and technologies to minimize environmental impact.. Key drivers for this market are: Growing demand for biopharmaceuticals, increasing outsourcing of cleaning validation services; technological advancements in cleaning and validation processes; stringent regulatory requirements. Potential restraints include: Increasing regulatory compliance Technological advancements Growing demand for biopharmaceuticals Outsourcing of cleaning and validation services and Rise in prevalence of healthcare-associated infections.

Abstract With the objective of elaborating, validating the content of a good environmental practices checklist (LVBPA-SA) for food services, and verifying the inter-rater reliability, an instrument was constructed based on a literature survey and the guidelines established by Brazilian Legislation (National Solid Waste Policy, National Water Resources Policy, National Policy on Conservation and the Rational Use of Energy). The LVBPA-SA was evaluated by a specialist panel to validate the contents according to the Delphi technique. To verify the concordance level between the specialists, the content validity index was used, and the instrument was considered validated when the content validity index was ≥ 80%. The form of presentation, semantic clarity, and the ease of understanding, filling in and using the instrument were evaluated, and the specialists could suggest alterations to the instrument. After validation, the instrument was applied by seven nutritionists in the same food service to evaluate the good environmental practices and verify the inter-rater reliability using the intra-class correlation coefficient (ICC) and Cronbach’s alpha at a significance level of 5%. The Kruskal-Wallis test was applied to compare the variance between responses. The validated LVBPA-SA contained five blocks and 68 evaluation items and 65% of the good environmental practices measurements were adopted by the food services. There was no statistically significant difference between the evaluations made by the nutritionists obtaining an ICC > 0.75 for 75% of the blocks. For the Cronbach's alpha, 100% of the blocks presented a coefficient ≥ 0.70, indicating excellent inter-rater agreement. Thus the contents of the LVBPA-SA were validated and showed internal consistency. In addition, it complied with the guidelines established by the Policies and lead to the adoption of good environmental practices, being an important instrument to be used in food services.

Includes: Sheet: Abbreviations, (Sheet: CHARMS) include the extracted data for review studies and studies citations, (Sheet: Features) includes feature-related extractions, (Sheet: PROBAST) includes the applicability and risk of bias assessment, (Sheet: TRIPOD) includes the reporting quality assessment, and (Sheet: Included & excluded studies) includes full-text screened studies with the reason(s) of exclusion.

ABSTRACT Objective To validate the Pain Assessment Checklist for Seniors with Limited Ability to Communicate – Portuguese in demented elderly and to analyze its measurement properties. Methods We evaluated 50 elderly with dementia, residing in a nursing home and with limited communication ability, when exposed to potentially painful situations. The tool was applied at two different moments. First, two interviewers applied it simultaneously, and the intensity of pain was asked based on the caregiver’s opinion. After 14 days, with no analgesic intervention, one of the interviewers applied it again. Results The sample comprised more females, aged over 80 years, with dementia due to Alzheimer, presenting musculoskeletal pain of moderate to severe intensity. The psychometric properties of the tool demonstrated appropriate internal consistency (Cronbach’s alpha coefficient of 0.827). The scale had excellent reproducibility, according to the intraclass correlation coefficient, and the tool has been duly validated. Conclusion The Pain Assessment Checklist for Seniors with Limited Ability to Communicate – Portuguese had adequate measuring properties for use with elderly presenting limited communication.

IntroductionA number of previous studies examined a possible association of toxic metals and autism, and over half of those studies suggest that toxic metal levels are different in individuals with Autism Spectrum Disorders (ASD). Additionally, several studies found that those levels correlate with the severity of ASD.MethodsIn order to further investigate these points, this paper performs the most detailed statistical analysis to date of a data set in this field. First morning urine samples were collected from 67 children and adults with ASD and 50 neurotypical controls of similar age and gender. The samples were analyzed to determine the levels of 10 urinary toxic metals (UTM). Autism-related symptoms were assessed with eleven behavioral measures. Statistical analysis was used to distinguish participants on the ASD spectrum and neurotypical participants based upon the UTM data alone. The analysis also included examining the association of autism severity with toxic metal excretion data using linear and nonlinear analysis. “Leave-one-out” cross-validation was used to ensure statistical independence of results.Results and DiscussionAverage excretion levels of several toxic metals (lead, tin, thallium, antimony) were significantly higher in the ASD group. However, ASD classification using univariate statistics proved difficult due to large variability, but nonlinear multivariate statistical analysis significantly improved ASD classification with Type I/II errors of 15% and 18%, respectively. These results clearly indicate that the urinary toxic metal excretion profiles of participants in the ASD group were significantly different from those of the neurotypical participants. Similarly, nonlinear methods determined a significantly stronger association between the behavioral measures and toxic metal excretion. The association was strongest for the Aberrant Behavior Checklist (including subscales on Irritability, Stereotypy, Hyperactivity, and Inappropriate Speech), but significant associations were found for UTM with all eleven autism-related assessments with cross-validation R2 values ranging from 0.12–0.48.

1Coefficients and ORs are based on standardized index scores to enable comparison across indices with different numbers of items.2Significant difference from coefficient for 3+ index (based on likelihood ratio test).3Significant difference from AUC for 3+ index (Index B)4Significant difference from AUC for preliminary QoPIIPC index (Index A)5Significant difference from OR for 3+ index (based on likelihood ratio test).Comparison of reference and constructed QoPIIPC indices1 —Descriptive statistics and performance on benchmarks across validation domains using Tanzania (incl. Zanzibar) Round 1 data.