Comparative evaluation of increase in temperature on the external root surface of teeth during retrieval of broken NiTi instrument using two ultrasonic tips and two power settings: An in vitro study.

Context: An unfavorable event that can hinder endodontic treatment and affect the outcome of root canal treatment is the separation of endodontic instruments. Endodontic instrument separation can occur due to clinical or metallurgical factors. Friction between the ultrasonic tip and the remaining dentin generates heat, which is subsequently transferred to the external root surface. Elevated temperatures exceeding 10°C above body temperature for more than a minute may result in injury to periodontal or bone tissue. Aim: The aim of this study was to evaluate and compare temperature rise on the external root surface of teeth during retrieval of broken NiTi instrument using two different ultrasonic tips and two power settings. Materials and Methods: In each group, a sample size of 8 was sufficient to attain a statistical power exceeding 90%, enabling the detection of a minimum mean difference of 0.9204 (delta) through a one-way ANOVA test at a 95% confidence level (alpha 0.05). After access opening and working length determination, samples were randomly distributed into two groups - Group 1 (A and B) - ProUltra tip at high and low power settings and Group 2 (A and B) - Cric Dental IR3 at high and low power settings. The temperature rise was measured using K-type thermocouple thermometer. The comparisons were analyzed using the Kruskal-Wallis test with pairwise comparisons using the Dunn's test. Results: Group 1A and Group 1B resulted in lower heat generation compared to Group 2A and 2B and its difference was statistically significant (P < 0.05). Minimum temperature rise is seen in the ProUltra group at lower power settings (Group 1A) at the apical level and maximum temperature rise is seen in the Cric Dental IR3 group at higher power settings (Group 2B) at the middle third level. Conclusion: It was found that there is a significant temperature rise seen when ultrasonic tips are used for the retrieval of separated files, especially at higher power settings. The ProUltra tip demonstrated the lowest temperature rise at lower power settings, particularly at the apical level, whereas the IR3 Cric Dental tip exhibited the highest temperature rise, notably at higher power settings and the middle third level.

Measuring interprofessional collaboration in fluid healthcare teams through the lens of teamness.

Health professionals often need to work together to provide team-based care. With increasing healthcare complexities and manpower shortages, more health professionals are working in multiple, fluid teams instead of one stable team, to provide care to patients. However, there is currently no validated instrument to measure the quality of interprofessional collaboration in fluid teams. One approach is to assess team members' perceived level of teamness (qualities that make clinical teams effective). This study aimed to examine the validity evidence of using the Assessment for Collaborative Environment (ACE-15) in fluid teams and investigate if teamness varies among health professions and clinical settings. Content and response process validity were gathered through consulting experts and cognitive interviews, resulting in revisions to 11 of 15 items in ACE-15. Through exploratory factor analysis of 194 responses on the revised ACE-15, a 13-item instrument, ACE-13F, with strong validity evidence for use in fluid teams was developed. A two-factor fixed effect ANOVA model revealed that the clinical setting that health professionals work in has a significant impact on the level of teamness (F[3,170] = 6.15, p < .001, η2 = 0.09). ACE-13F can be used as a rapid instrument to measure interprofessional collaboration in fluid healthcare teams.

Development of an instrument to measure the competencies of health professionals in the process of evidence-based healthcare: A Delphi study.

AIMS: To identify and reach consensus on dimensions and criteria of a competence assessment instrument for health professionals in relation to the process of evidence-based healthcare. DESIGN: A two-round Delphi survey was carried out from April to June 2023. METHODS: Consensus was sought from an expert panel on the instrument preliminarily established based on the JBI Model of Evidence-Based Healthcare and a rapid review of systematic reviews of relevant literature. The level of consensus was reflected by the concentration and coordination of experts' opinions and percentage of agreement. The instrument was revised significantly based on the combination of data analysis, the experts' comments and research group discussions. RESULTS: Sixteen national and three international experts were involved in the first-round Delphi survey and 17 experts participated in the second-round survey. In both rounds, full consensus was reached on the four dimensions of the instrument, namely evidence-generation, evidence-synthesis, evidence-transfer and evidence-implementation. In round-one, the instrument was revised from 77 to 61 items. In round-two, the instrument was further revised to have 57 items under the four dimensions in the final version. CONCLUSION: The Delphi survey achieved consensus on the instrument. The validity and reliability of the instrument needs to be tested in future research internationally. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Systematic assessment of nurses and other health professionals' competencies in different phases of evidence-based healthcare process based on this instrument provides implications for their professional development and multidisciplinary team collaboration in evidence-based practice and better care process and outcomes. IMPACT: This study addresses a research gap of lacking an instrument to systematically assess interprofessional competencies in relation to the process of EBHC. The instrument covers the four phases of EBHC process with minimal criteria, highlighting essential aspects of ability to be developed. Identification of health professionals' level of competence in these aspects helps strengthen their capacity accordingly so as to promote virtuous EBHC ecosystem for the ending purpose of improving global healthcare outcomes. REPORTING METHOD: This study was reported in line with the Conducting and REporting of DElphi studies (CREDES) guidance on Delphi studies. PATIENT AND PUBLIC CONTRIBUTION: No patient or public contribution.

Improving Theatre Productivity by Digitising Surgical Equipment Repairs.

Introduction A few cancelled surgeries are due to surgical equipment issues representing a significant burden to both patients and National Health Service (NHS) hospitals on waiting lists. Despite this, there remain very few strategies designed to tackle these avoidable cancellations, especially in combination with digitisation. Our aim was to demonstrate improved efficiency through a pilot study in collaboration with Broomfield Hospital (Broomfield, United Kingdom), MediShout Ltd (London, United Kingdom), and B. Braun Medical Ltd (Sheffield, United Kingdom) with the digitalisation of the equipment repair pathway. Methods MediShout digitised two distinct repair pathways: ad-hoc repairs and maintenance equipment services (MES). Pre- and post-digitisation outcome measures were collected including the number of process steps, staff contribution time, non-staff continuation time, turnaround time, cancelled surgeries, planned preventative maintenance compliance, and staff satisfaction. The number of steps, staff contribution time, and non-staff contribution time were calculated using cognitive task analyses and time-motion studies, respectively. Turnaround time and cancellation data were taken from existing hospital data sets and staff satisfaction was measured through two staff surveys. Results Digitising the ad-hoc repair pathway reduced the number of steps by 18 (118 to 100) and saved 74 minutes of total staff time (Broomfield Hospital and B. Braun) per repair, resulting in annual efficiency savings of £21,721.48. Digitising the MES repair pathway reduced the number of steps by 13 (74 to 61) and saved 56 minutes of total staff time per repair, resulting in annual efficiency savings of £3469.44. Turnaround time for the repaired kit decreased by 14 days and 29 days for the digital ad-hoc and digital MES pathways, respectively. Elective operations cancelled due to equipment issues decreased by 44%, from 1.5 operations/month pre-pilot to 0.83 operations/month post-pilot. Planned preventative maintenance compliance across the MES pathway increased by 67% (33% to 100%). Staff satisfaction with the repair pathway improved from 12% to 96%. Conclusion This pilot study showcases the numerous benefits that can be achieved through digitisation and offers an innovative case study to approach avoidable cancellations due to equipment failure.

Delirium diagnostic tools in the postoperative setting: A scoping review protocol.

BACKGROUND: Delirium is an acute and fluctuating disturbance in attention, awareness, and cognition, commonly observed in hospital settings, particularly among older adults, critically ill and surgical patients. Delirium poses significant challenges in patient care, leading to increased morbidity, mortality, prolonged hospital stays, and functional decline. AIM: The aim of this review is to map existing evidence on delirium diagnostic tools suitable for use in patients treated surgically due to hip fracture, to inform clinical practice and enhance patient care protocols in the postoperative setting. METHOD: We will conduct a scoping review on delirium diagnostic tools used for adult patients in the postoperative setting according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Eligibility criteria encompass all languages, publications dates, and study designs, with exception of case-reports. We will systematically search multiple databases and include unpublished trials, ensuring a comprehensive review based on a predefined protocol. RESULTS: Results will be presented descriptively, with supplementary tables and graphs. Studies will be grouped by design, surgical specialties, and diagnostic tools to identify potential variations. CONCLUSION: This scoping review will provide an overview of existing delirium diagnostic tools used in the postoperative setting and highlight knowledge-gaps to support future research. Due to the large number of patients affected by postoperative delirium, evidence mapping is much needed to facilitate evidence-based practice.

The PompeQoL questionnaire: Development and validation of a new measure for children and adolescents with Pompe disease.

Genetic disorders pose great challenges for affected individuals and their families, as they must cope with the irreversible nature of the disease and a life-long dependence on medical assistance and treatment. Children and adolescents dealing with Pompe disease (PD) often struggle to keep up with their peers in physical activities. To gain valuable insights into their subjective experiences and better understand their perception and coping related to daily challenges linked to their condition and treatment, the use of standardized questionnaires is crucial. This study introduces the novel PompeQoL 1.0 questionnaire for children and adolescents with PD, designed for comprehensive assessment of both disease-specific FDH and HRQoL through self- and proxy reports. Content validity was ensured through patients' and parents' involvement at the initial stages of development and in subsequent cognitive debriefing process. Participants found the questionnaire easy to understand, answerable, relevant, and comprehensive. Adjustments based on feedback from patients and their parents improved its utility as a patient- and observer-reported outcome measure. After careful item examination, 52 items were selected, demonstrating moderate to excellent test-retest reliability for most scales and initial evidence for satisfactory construct validity. The PompeQoL questionnaire stands as a valuable screening instrument for both clinical and research purposes. Future research should prioritize additional revisions and larger validation studies, focusing on testing the questionnaire in clinical practice and trials. Nevertheless, the PompeQoL 1.0 stands out as the first standardized measure providing insights into disease-specific FDH and HRQoL among children and adolescents with various forms of PD.

Guideline for reporting systematic reviews of outcome measurement instruments (OMIs): PRISMA-COSMIN for OMIs 2024.

PURPOSE: Although comprehensive and widespread guidelines on how to conduct systematic reviews of outcome measurement instruments (OMIs) exist, for example from the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative, key information is often missing in published reports. This article describes the development of an extension of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline: PRISMA-COSMIN for OMIs 2024. METHODS: The development process followed the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) guidelines and included a literature search, expert consultations, a Delphi study, a hybrid workgroup meeting, pilot testing, and an end-of-project meeting, with integrated patient/public involvement. RESULTS: From the literature and expert consultation, 49 potentially relevant reporting items were identified. Round 1 of the Delphi study was completed by 103 panelists, whereas round 2 and 3 were completed by 78 panelists. After 3 rounds, agreement (≥ 67%) on inclusion and wording was reached for 44 items. Eleven items without consensus for inclusion and/or wording were discussed at a workgroup meeting attended by 24 participants. Agreement was reached for the inclusion and wording of 10 items, and the deletion of 1 item. Pilot testing with 65 authors of OMI systematic reviews further improved the guideline through minor changes in wording and structure, finalized during the end-of-project meeting. The final checklist to facilitate the reporting of full systematic review reports contains 54 (sub)items addressing the review's title, abstract, plain language summary, open science, introduction, methods, results, and discussion. Thirteen items pertaining to the title and abstract are also included in a separate abstract checklist, guiding authors in reporting for example conference abstracts. CONCLUSION: PRISMA-COSMIN for OMIs 2024 consists of two checklists (full reports; abstracts), their corresponding explanation and elaboration documents detailing the rationale and examples for each item, and a data flow diagram. PRISMA-COSMIN for OMIs 2024 can improve the reporting of systematic reviews of OMIs, fostering their reproducibility and allowing end-users to appraise the quality of OMIs and select the most appropriate OMI for a specific application. NOTE: In order to encourage its wide dissemination this article is freely accessible on the web sites of the journals: Health and Quality of Life Outcomes; Journal of Clinical Epidemiology; Journal of Patient-Reported Outcomes; Quality of Life Research.

The Effect of Calcitonin Gene-Related Peptide Monoclonal Antibodies on Quality of Life among Migraine Patients: Pilot Study at the Hospital of Lithuanian University of Health Sciences Kaunas Clinics.

Background: Migraine has a negative impact on patients' quality of life, with the frequency of attacks being associated with greater disability and poorer health status. Frequent migraine-type headaches require prophylactic treatment, which has so far been of limited effectiveness until advent of calcitonin gene-related peptide (CGRP) monoclonal antibody. Materials and Methods: A prospective analysis was conducted of data from 41 migraine patients who experienced 4 or more monthly migraine days (MMD) longer than three months. At the beginning of the study, treatment with monoclonal antibodies against CGRP (fremanezumab 225 mg or erenumab 70 or 140 g per month) was prescribed according to the indications. The effect of the medications was evaluated after 3-month period. Results: The mean age of patients was 37.17 (±11.78) years. It was found that 17 patients (41.5%) had episodic migraine (EM) and 24 (58.5%) had chronic migraine (CM). Fremanezumab was prescribed to 26 patients (63.4%) and erenumab to 15 patients (36.6%); among the latter, 13 patients used 70 mg/month and 2 patients used 140 mg/month. Three months after treatment, CM changed to EM for 19 patients (79.2%), 27 patients (65.9%) had ≥50% reduction in the number of MMD and total migraine disability assessment (MIDAS) score was reduced by >50% in 31 patients (75.6%). Also, all areas of quality of life of patients were improved after 3 months continued treatment compared to baseline. Conclusions: For more than half the patients using fremanezumab or erenumab after 3-month period, MMD decreased by ≥50% and total MIDAS score by >50 points. All areas of quality of life were improved after prophylactic treatment of migraine.

Guideline for reporting systematic reviews of outcome measurement instruments (OMIs): PRISMA-COSMIN for OMIs 2024.

PURPOSE: Although comprehensive and widespread guidelines on how to conduct systematic reviews of outcome measurement instruments (OMIs) exist, for example from the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative, key information is often missing in published reports. This article describes the development of an extension of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline: PRISMA-COSMIN for OMIs 2024. METHODS: The development process followed the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) guidelines and included a literature search, expert consultations, a Delphi study, a hybrid workgroup meeting, pilot testing, and an end-of-project meeting, with integrated patient/public involvement. RESULTS: From the literature and expert consultation, 49 potentially relevant reporting items were identified. Round 1 of the Delphi study was completed by 103 panelists, whereas round 2 and 3 were completed by 78 panelists. After 3 rounds, agreement (≥67%) on inclusion and wording was reached for 44 items. Eleven items without consensus for inclusion and/or wording were discussed at a workgroup meeting attended by 24 participants. Agreement was reached for the inclusion and wording of 10 items, and the deletion of 1 item. Pilot testing with 65 authors of OMI systematic reviews further improved the guideline through minor changes in wording and structure, finalized during the end-of-project meeting. The final checklist to facilitate the reporting of full systematic review reports contains 54 (sub)items addressing the review's title, abstract, plain language summary, open science, introduction, methods, results, and discussion. Thirteen items pertaining to the title and abstract are also included in a separate abstract checklist, guiding authors in reporting for example conference abstracts. CONCLUSION: PRISMA-COSMIN for OMIs 2024 consists of two checklists (full reports; abstracts), their corresponding explanation and elaboration documents detailing the rationale and examples for each item, and a data flow diagram. PRISMA-COSMIN for OMIs 2024 can improve the reporting of systematic reviews of OMIs, fostering their reproducibility and allowing end-users to appraise the quality of OMIs and select the most appropriate OMI for a specific application. NOTE: In order to encourage its wide dissemination this article is freely accessible on the web sites of the journals: Health and Quality of Life Outcomes; Journal of Clinical Epidemiology; Journal of Patient-Reported Outcomes; Quality of Life Research.

Towards multimodal graph neural networks for surgical instrument anticipation.

PURPOSE: Decision support systems and context-aware assistance in the operating room have emerged as the key clinical applications supporting surgeons in their daily work and are generally based on single modalities. The model- and knowledge-based integration of multimodal data as a basis for decision support systems that can dynamically adapt to the surgical workflow has not yet been established. Therefore, we propose a knowledge-enhanced method for fusing multimodal data for anticipation tasks. METHODS: We developed a holistic, multimodal graph-based approach combining imaging and non-imaging information in a knowledge graph representing the intraoperative scene of a surgery. Node and edge features of the knowledge graph are extracted from suitable data sources in the operating room using machine learning. A spatiotemporal graph neural network architecture subsequently allows for interpretation of relational and temporal patterns within the knowledge graph. We apply our approach to the downstream task of instrument anticipation while presenting a suitable modeling and evaluation strategy for this task. RESULTS: Our approach achieves an F1 score of 66.86% in terms of instrument anticipation, allowing for a seamless surgical workflow and adding a valuable impact for surgical decision support systems. A resting recall of 63.33% indicates the non-prematurity of the anticipations. CONCLUSION: This work shows how multimodal data can be combined with the topological properties of an operating room in a graph-based approach. Our multimodal graph architecture serves as a basis for context-sensitive decision support systems in laparoscopic surgery considering a comprehensive intraoperative operating scene.

Evaluating surgical expertise with AI-based automated instrument recognition for robotic distal gastrectomy.

Introduction: Complexities of robotic distal gastrectomy (RDG) give reason to assess physician's surgical skill. Varying levels in surgical skill affect patient outcomes. We aim to investigate how a novel artificial intelligence (AI) model can be used to evaluate surgical skill in RDG by recognizing surgical instruments. Methods: Fifty-five consecutive robotic surgical videos of RDG for gastric cancer were analyzed. We used Deeplab, a multi-stage temporal convolutional network, and it trained on 1234 manually annotated images. The model was then tested on 149 annotated images for accuracy. Deep learning metrics such as Intersection over Union (IoU) and accuracy were assessed, and the comparison between experienced and non-experienced surgeons based on usage of instruments during infrapyloric lymph node dissection was performed. Results: We annotated 540 Cadiere forceps, 898 Fenestrated bipolars, 359 Suction tubes, 307 Maryland bipolars, 688 Harmonic scalpels, 400 Staplers, and 59 Large clips. The average IoU and accuracy were 0.82 ± 0.12 and 87.2 ± 11.9% respectively. Moreover, the percentage of each instrument's usage to overall infrapyloric lymphadenectomy duration predicted by AI were compared. The use of Stapler and Large clip were significantly shorter in the experienced group compared to the non-experienced group. Conclusions: This study is the first to report that surgical skill can be successfully and accurately determined by an AI model for RDG. Our AI gives us a way to recognize and automatically generate instance segmentation of the surgical instruments present in this procedure. Use of this technology allows unbiased, more accessible RDG surgical skill.

Guideline for reporting systematic reviews of outcome measurement instruments (OMIs): PRISMA-COSMIN for OMIs 2024.

PURPOSE: Although comprehensive and widespread guidelines on how to conduct systematic reviews of outcome measurement instruments (OMIs) exist, for example from the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative, key information is often missing in published reports. This article describes the development of an extension of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline: PRISMA-COSMIN for OMIs 2024. METHODS: The development process followed the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) guidelines and included a literature search, expert consultations, a Delphi study, a hybrid workgroup meeting, pilot testing, and an end-of-project meeting, with integrated patient/public involvement. RESULTS: From the literature and expert consultation, 49 potentially relevant reporting items were identified. Round 1 of the Delphi study was completed by 103 panelists, whereas round 2 and 3 were completed by 78 panelists. After 3 rounds, agreement (≥ 67%) on inclusion and wording was reached for 44 items. Eleven items without consensus for inclusion and/or wording were discussed at a workgroup meeting attended by 24 participants. Agreement was reached for the inclusion and wording of 10 items, and the deletion of 1 item. Pilot testing with 65 authors of OMI systematic reviews further improved the guideline through minor changes in wording and structure, finalized during the end-of-project meeting. The final checklist to facilitate the reporting of full systematic review reports contains 54 (sub)items addressing the review's title, abstract, plain language summary, open science, introduction, methods, results, and discussion. Thirteen items pertaining to the title and abstract are also included in a separate abstract checklist, guiding authors in reporting for example conference abstracts. CONCLUSION: PRISMA-COSMIN for OMIs 2024 consists of two checklists (full reports; abstracts), their corresponding explanation and elaboration documents detailing the rationale and examples for each item, and a data flow diagram. PRISMA-COSMIN for OMIs 2024 can improve the reporting of systematic reviews of OMIs, fostering their reproducibility and allowing end-users to appraise the quality of OMIs and select the most appropriate OMI for a specific application. NOTE: In order to encourage its wide dissemination this article is freely accessible on the web sites of the journals: Health and Quality of Life Outcomes; Journal of Clinical Epidemiology; Journal of Patient-Reported Outcomes; Quality of Life Research.

Psychometric validation of the Chinese Version of the stimulant relapse risk scale (SRRS) in patients with methamphetamine use disorder.

BACKGROUND: Evaluating the risk of relapse is a pivotal step in the treatment of patients with methamphetamine use disorder (MUD). The 30-item Stimulant Relapse Risk Scale (SRRS) was originally developed in Japan to meet the demand. This study examined the reliability, validity, and factor structure of the Chinese version of the SRRS for patients with MUD. METHODS: 247 patients with MUD self-rated the Chinese version of the SRRS. Cronbach's alpha coefficients and inter-item correlation analysis were used to assess the internal consistency reliability. Construct validity was determined through confirmatory factor analysis (CFA), and concurrent validity was examined using the visual analogue scale (VAS) for drug craving and the severity of dependence scale (SDS). We followed the participants for 1 year and assessed the predictive validity based on the correlation of the scores of the Chinese version of the SRRS with the relapse rate within 3, 6, and 12 months of follow-up. RESULTS: CFA revealed satisfactory model fit estimates for the 22-item Chinese version of the SRRS that consisted of four subscales. The four-factored 22-item Chinese version of the SRRS had adequate internal consistency with Cronbach's alphas ranging from 0.76 to 0.92. The 22-item Chinese version of the SRRS scores were significantly correlated with the VAS and SDS scores as well as the relapse rate within 3, 6, and 12 months, indicating good concurrent and predictive validity of this scale. The receiver operating characteristic curve revealed a cutoff score of 40 could discriminate between participants with (SDS score ≥ 4) and without (SDS score < 4) methamphetamine dependence (area under the curve = 0.71, p < 0.01). CONCLUSIONS: The 22-item Chinese version of the SRRS that consists of four subscales is a valid and reliable instrument to assess the relapse risk in patients with MUD.

Developing a screening instrument for underlying core domains of communicative competence in children with communication support needs.

A socio-neurocognitive approach to augmentative and alternative communication (AAC) shows several underlying domains of communicative competence: Attention, perception, cognition, memory, orientation, socio-emotional development, motor skills, and language. To determine developmental markers of these underlying core domains of communicative competence in children with communication support needs, we developed a new screening instrument. The present article consists of three consecutive studies. In study 1, we constructed the first version of the screening instrument based on a sample of both children without disabilities and children with Down syndrome. In study 2, we confirmed the reliability (i.e., internal consistency) of the screening instrument in a new group of young children with typical development and established concurrent validity with the Early Language Scale. In study 3, we established concurrent validity with the Communication Matrix in a clinical sample of children with communication support needs. The screening instrument can be used in clinical practice as part of AAC assessment to provide comprehensive insights into strengths and weaknesses in the underlying core domains of communicative competence of children with communication support needs.

The Childbearing sense of coherence scale (CSOC-scale): development and validation.

BACKGROUND: the salutogenic theory is essential to explain an individual's ability to maintain health during the perinatal period. While previous studies mainly focused on the perspectives from a family-level orientation and a global orientation, the purpose of the present study was to develop and validate a scale, the childbearing sense of coherence scale (CSOC-scale) from the individual's perceptions of the stresses, resources, and meaningfulness of childbearing. METHODS: A total of 3 separate studies contributed to the development of the CSOC-scale between July 2022 and February 2023. In study 1, the initial item pool based on the conceptual framework of the childbearing sense of coherence and the salutogenic theory was developed. Delphi expert consultation was conducted to revise and improve items. Studies 2 and 3 were cross-sectional studies. In study 2, item analysis and explore factor analysis (EFA) (N = 351 for women, N = 256 for men) were used to screen items. In study 3, confirmatory factor analysis (CFA) and reliability analysis (N = 366 for women, N = 308 for men) were used to test the fit indices and reliability of the final scale. RESULTS: final analysis suggested the CSOC-scale includes three factors, consisting of 13 items. Confirmatory factor analysis demonstrated good model fit (χ2 = 157.448, df = 62, χ2/ df = 2.539, RMSEA = 0.065, CFI = 0.974, TLI = 0.968, SRMR = 0.029 for women; χ2 = 181.363, df = 62, χ2/ df = 2.925, RMSEA = 0.079, CFI = 0.968, TLI = 0.960, SRMR = 0.033 for men) and high factor loadings (from 0.751 to 0.929 for women; from 0.746 to 0.947 for men). Internal consistency (Cronbach's α ranging from 0.895 to 0.933 for women and 0.881 to 0.945 for men in three dimensions; Cronbach's α was 0.919 for women and 0.821 for men in the entire instrument) and split-half reliability (Spearman-Brown coefficients ranging from 0.876 to 0.921 for women and 0.841 to 0.937 for men in three dimensions; Spearman-Brown coefficient was 0.744 for women and 0.785 for men in the entire instrument) were excellent. CONCLUSIONS: the CSOC-scale has robust psychometric properties. It is reliable and valid in evaluating the childbearing sense of coherence in women and men during pregnancy. Utilisation of this scale can help healthcare professionals understand the health maintenance competencies of couples during the transition of parenthood and provide health promotion services from a salutogenic perspective.

Eye Adult Changes in Thought (Eye ACT) Study: Design and Report on the Inaugural Cohort.

Background: Conflicting research on retinal biomarkers of Alzheimer's disease and related dementias (AD/ADRD) is likely related to limited sample sizes, study design, and protocol differences. Objective: The prospective Eye Adult Changes in Thought (Eye ACT) seeks to address these gaps. Methods: Eye ACT participants are recruited from ACT, an ongoing cohort of dementia-free, older adults followed biennially until AD/ADRD, and undergo visual function and retinal imaging assessment either in clinic or at home. Results: 330 participants were recruited as of 03/2023. Compared to ACT participants not in Eye ACT (N = 1868), Eye ACT participants (N = 330) are younger (mean age: 70.3 versus 71.2, p = 0.014), newer to ACT (median ACT visits since baseline: 3 versus 4, p < 0.001), have more years of education (17.7 versus 16.2, p < 0.001) and had lower rates of visual impairment (12% versus 22%, p < 0.001). Compared to those seen in clinic (N = 300), Eye ACT participants seen at home (N = 30) are older (77.2 versus 74.9, p = 0.015), more frequently female (60% versus 49%, p = 0.026), and have significantly worse visual acuity (71.1 versus 78.9 Early Treatment Diabetic Retinopathy Study letters, p < 0.001) and contrast sensitivity (-1.9 versus -2.1 mean log units at 3 cycles per degree, p = 0.002). Cognitive scores and retinal imaging measurements are similar between the two groups. Conclusions: Participants assessed at home had significantly worse visual function than those seen in clinic. By including these participants, Eye ACT provides a unique longitudinal cohort for evaluating potential retinal biomarkers of dementia.

Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation.

Accurate instrument segmentation in the endoscopic vision of minimally invasive surgery is challenging due to complex instruments and environments. Deep learning techniques have shown competitive performance in recent years. However, deep learning usually requires a large amount of labeled data to achieve accurate prediction, which poses a significant workload. To alleviate this workload, we propose an active learning-based framework to generate synthetic images for efficient neural network training. In each active learning iteration, a small number of informative unlabeled images are first queried by active learning and manually labeled. Next, synthetic images are generated based on these selected images. The instruments and backgrounds are cropped out and randomly combined with blending and fusion near the boundary. The proposed method leverages the advantage of both active learning and synthetic images. The effectiveness of the proposed method is validated on two sinus surgery datasets and one intraabdominal surgery dataset. The results indicate a considerable performance improvement, especially when the size of the annotated dataset is small. All the code is open-sourced at: https://github.com/HaonanPeng/active_syn_generator.

Evaluation of a Computer-Aided Clinical Decision Support System for Point-of-Care Use in Low-Resource Primary Care Settings: Acceptability Evaluation Study.

BACKGROUND: A clinical decision support system (CDSS) based on the logic and philosophy of clinical pathways is critical for managing the quality of health care and for standardizing care processes. Using such a system at a point-of-care setting is becoming more frequent these days. However, in a low-resource setting (LRS), such systems are frequently overlooked. OBJECTIVE: The purpose of the study was to evaluate the user acceptance of a CDSS in LRSs. METHODS: The CDSS evaluation was carried out at the Jimma Health Center and the Jimma Higher Two Health Center, Jimma, Ethiopia. The evaluation was based on 22 parameters organized into 6 categories: ease of use, system quality, information quality, decision changes, process changes, and user acceptance. A Mann-Whitney U test was used to investigate whether the difference between the 2 health centers was significant (2-tailed, 95% CI; α=.05). Pearson correlation and partial least squares structural equation modeling (PLS-SEM) was used to identify the relationship and factors influencing the overall acceptance of the CDSS in an LRS. RESULTS: On the basis of 116 antenatal care, pregnant patient care, and postnatal care cases, 73 CDSS evaluation responses were recorded. We found that the 2 health centers did not differ significantly on 16 evaluation parameters. We did, however, detect a statistically significant difference in 6 parameters (P<.05). PLS-SEM results showed that the coefficient of determination, R2, of perceived user acceptance was 0.703. More precisely, the perceived ease of use (ß=.015, P=.91) and information quality (ß=.149, P=.25) had no positive effect on CDSS acceptance but, rather, on the system quality and perceived benefits of the CDSS, with P<.05 and ß=.321 and ß=.486, respectively. Furthermore, the perceived ease of use was influenced by information quality and system quality, with an R2 value of 0.479, indicating that the influence of information quality on the ease of use is significant but the influence of system quality on the ease of use is not, with ß=.678 (P<.05) and ß=.021(P=.89), respectively. Moreover, the influence of decision changes (ß=.374, P<.05) and process changes (ß=.749, P<.05) both was significant on perceived benefits (R2=0.983). CONCLUSIONS: This study concludes that users are more likely to accept and use a CDSS at the point of care when it is easy to grasp the perceived benefits and system quality in terms of health care professionals' needs. We believe that the CDSS acceptance model developed in this study reveals specific factors and variables that constitute a step toward the effective adoption and deployment of a CDSS in LRSs.

Review of microplastics and chemical risk posed by plastic packaging on the marine environment to inform the Global Plastics Treaty.

Plastic overproduction and the resulting increase in consumption has made plastic pollution ubiquitous in all ecosystems. Recognizing this, the United Nations (UN) has started negotiations to establish a global treaty to end plastic pollution, especially in the marine environment. The basis of the treaty has been formulated in terms of turning off the tap, signaling the will to prevent plastic pollution at its source. Based on the distribution of plastic production by sector, the plastic packaging sector consumes the most plastic. The volume and variety of chemicals used in plastic packaging, most of which is single-use, is a major concern. Single-use plastics including packaging is one of the most dominant sources of plastic pollution. Plastic waste causes pollution in water, air and soil by releasing harmful chemicals into the environment and can also lead to exposure through contamination of food with micro- and nano-plastic particles and chemicals through packaging. Marine life and humans alike face risks from plastic uptake through bioaccumulation and biomagnification. While the contribution of plastics ingested to chemical pollution is relatively minor in comparison to other pathways of exposure, the effect of plastic waste on marine life and human consumption of seafood is beyond question. To reduce the long-term impact of plastic, it is crucial to establish a global legally binding instrument to ensure the implementation of upstream rather than downstream solutions. This will help to mitigate the impact of both chemicals and microplastics, including from packaging, on the environment.

Prevalence of peripheral neuropathy, amputation, and quality of life in patients with diabetes mellitus.

Peripheral neuropathy and amputation are common complications of diabetes mellitus (DM) that significantly impact the quality of life of the affected individuals. This study aims to investigate the prevalence of peripheral neuropathy, the level of amputation, and the quality of life in patients with DM. This cross-sectional study was conducted after approval of the synopsis involving 225 diagnosed patients with DM on pre-defined eligibility criteria, selected from public sector OPDs, specialized diabetes centres, and centres manufacturing orthotics and prosthetics. Data were collected through interviews, observations, and the administration of the Michigan Neuropathy Screening Instrument and the Asian Diabetes Quality of Life Questionnaire. The level of amputation was recorded for each participant. Data was entered into SPSS, and results were synthesized. Pearson correlation is applied to find an association between gender and the quality of life of the participants, while P ≤ 0.05 will be considered significant. The prevalence of peripheral neuropathy in a sample of 225, based on a self-administered questionnaire, was (44.4%), and in terms of foot examination was (51.1%). As people progressed in age, the prevalence increased to 20.0% in patients above 60 years and 8.9% in ≤ 35 years of age. The majority of participants (56.0%) have had DM for less than five years. Females were 57.8% of the study population, while 97.8% of participants had type II DM. Below-knee amputation of the right limb was observed in 22(9.8%) of the participants. The QoL was poor in the majority of the participants (96.9%) patients with DM (P = 0.638 and T = -0.471). This cross-sectional study highlights a high prevalence of peripheral neuropathy and amputation and poor QoL in patients with diabetic mellitus.