Evaluating the Problem of Fraudulent Participants in Health Care Research: Multimethod Pilot Study.

BACKGROUND: The shift toward online recruitment methods, accelerated by the COVID-19 pandemic, has brought to the forefront the growing concern of encountering fraudulent participants in health care research. The increasing prevalence of this issue poses a serious threat to the reliability and integrity of research data and subsequent findings. OBJECTIVE: This study aims to explore the experiences of health care researchers (HCRs) who have encountered fraudulent participants while using online recruitment methods and platforms. The primary objective was to gain insights into how researchers detect and mitigate fraudulent behavior in their work and provide prevention recommendations. METHODS: A multimethod sequential design was used for this pilot study, comprising a quantitative arm involving a web-based survey followed by a qualitative arm featuring semistructured interviews. The qualitative description approach framed the qualitative arm of the study. Sample sizes for the quantitative and qualitative arms were based on pragmatic considerations that in part stemmed from encountering fraudulent participants in a concurrent study. Content analysis was used to analyze open-ended survey questions and interview data. RESULTS: A total of 37 HCRs participated, with 35% (13/37) of them engaging in qualitative interviews. Online platforms such as Facebook, email, Twitter (subsequently rebranded X), and newsletters were the most used methods for recruitment. A total of 84% (31/37) of participants indicated that fraudulent participation occurred in studies that mentioned incentives in their recruitment communications, with 71% (26/37) of HCRs offering physical or electronic gift cards as incentives. Researchers identified several indicators of suspicious behavior, including email surges, discrepancies in contact or personal information, geographical inconsistencies, and suspicious responses to survey questions. HCRs emphasized the need for a comprehensive screening protocol that extends beyond eligibility checks and is seamlessly integrated into the study protocol, grant applications, and research ethics board submissions. CONCLUSIONS: This study sheds light on the intricate and pervasive problem of fraudulent participation in health care research using online recruitment methods. The findings underscore the importance of vigilance and proactivity among HCRs in identifying, preventing, and addressing fraudulent behavior. To effectively tackle this challenge, researchers are encouraged to develop a comprehensive prevention strategy and establish a community of practice, facilitating real-time access to solutions and support and the promotion of ethical research practices. This collaborative approach will enable researchers to effectively address the issue of fraudulent participation, ensuring the conduct of high-quality and ethically sound research in the digital age.

Health system facilitators and barriers to the integration of mental health services into primary care in the Democratic Republic of the Congo: a multimethod study.

BACKGROUND: The integration of mental health into primary care-i.e., the process by which a range of essential mental health care and services are made available in existing multipurpose health care settings that did not previously provide them-can be facilitated or hindered by several health system factors that are still poorly understood. This study aimed to identify health system facilitators and barriers to the integration of mental health services into primary care in the Democratic Republic of the Congo (DRC) to improve the success rate of integration programs. METHODS: We conducted a multimethod, cross-sectional exploratory study. Stakeholders (managers, health service providers, service users, etc.) from sixteen of the twenty-six provinces of the DRC participated. We collected qualitative data through 31 individual, semistructured, face-to-face key informant interviews. We then collected quantitative data through a population-based survey of 413 respondents. We analyzed the interviews via thematic analysis, assigning verbatims to predefined themes and subthemes. For the survey responses, we performed descriptive analysis followed by binomial logistic regression to explore the associations between the variables of interest. RESULTS: Strong leadership commitment, positive attitudes toward mental health care, the availability of care protocols, mental health task sharing (p < 0.001), and sufficient numbers of primary care providers (PCPs) (p < 0.001) were identified as key health system facilitators of successful integration. However, barriers to integration are mainly related to a poor understanding of what integration is and what it is not, as well as to the poor functionality and performance of health facilities. In addition, stigma, low prioritization of mental health, lack of mental health referents, low retention rate of trained health professionals, lack of reporting tools, lack of standardized national guidelines for integration (p < 0.001), lack of funding (p < 0.001), shortage of mental health specialists to coach PCPs (p < 0.001), and lack of psychotropic medications (p < 0.001) were identified as health system barriers to integration. CONCLUSION: Improving the functionality of primary care settings before integrating mental health care would be beneficial for greater success. In addition, addressing identified barriers, such as lack of funding and mental health-related stigma, requires multistakeholder action across all building blocks of the health system.

Measuring the variability of personality traits with interval responses: Psychometric properties of the dual-range slider response format : Measuring variability with interval responses.

Measuring the variability in persons' behaviors and experiences using ecological momentary assessment is time-consuming and costly. We investigate whether interval responses provided through a dual-range slider (DRS) response format can be used as a simple and efficient alternative: Respondents indicate variability in their behavior in a retrospective rating by choosing a lower and an upper bound on a continuous, bounded scale. We investigate the psychometric properties of this response format as a prerequisite for further validation. First, we assess the test-retest reliability of factor-score estimates for the width of DRS intervals. Second, we test whether factor-score estimates of the visual analog scale (VAS) and the location of DRS intervals show convergent validity. Third, we investigate whether factor-score estimates for the DRS are uncorrelated between different personality scales. We present a longitudinal multitrait-multimethod study using two personality scales (Extraversion, Conscientiousness) and two response formats (VAS, DRS) at two measurement occasions (6-8 weeks apart) for which we estimate factor-score correlations in a joint item response theory model. The test-retest reliability of the width of DRS intervals was high ( ρ ^ ≥ . 73 ). Also, convergent validity between location scores of VAS and DRS was high ( ρ ^ ≥ . 88 ). Conversely, discriminant validity of the width of DRS intervals between Extraversion and Conscientiousness was poor ( ρ ^ ≥ . 94 ). In conclusion, the DRS seems to be a reliable response format that could be used to measure the central tendency of a trait equivalently to the VAS. However, it might not be well suited for measuring intra-individual variability in personality traits.

A Multi-Method Study of Interpersonal Complementarity and Mentalization.

Research finds cross-sectional relationships between mentalizing impairments and maladaptive personality traits. The current study connects mentalizing impairments to dynamic interpersonal processes using a multi-method design. A sample of 218 participants completed the Movie for the Assessment of Social Cognition (MASC; Dziobek et al., 2006) to assess mentalizing ability. Subsequently, participants rated their agentic and communal behavior and their perception of interaction partners' agentic and communal behavior over 21-days. Mentalizing ability moderated the within-person relationship between behavior and perception for both agency and communion. Worse performance on the MASC was associated with weaker interpersonal complementarity, suggesting that mentalizing impairments lead to deviations from expected patterns of behavior and perception across interpersonal situations. These findings confirm the assumption of Contemporary Integrative Interpersonal Theory that mentalization impairments can disrupt normative interpersonal processes (Cain et al., 2024; Pincus & Hopwood, 2012).

Nurses' self-regulated learning in clinical wards: Important insights for nurse educators from a multi-method research study.

Central in nurse education curricula stands the preparation of future nurses to work in quickly evolving, dynamic, clinical wards. Learning in the flow of work plays a pivotal role in initial nurse education, but also during continuous professional development. To drive their ongoing development, nurses need competency in self-regulation of learning (SRL). Despite the importance of SRL in the clinical workplace for all (future) healthcare professionals, research on self-regulated workplace learning (SRwpL) of nurses and future nurses in clinical wards is underdeveloped. This study aims to enhance the conceptual understanding of SRwpL strategies and practices in clinical nursing wards and to offer insights for designing effective educational interventions supporting the facilitation and development of (future) nurses' SRwpL in the clinical ward. A multi-actor, multi-method perspective was adopted to qualitatively investigate SRwpL strategies nurses engaged in. Nurses were observed and interviewed, but also professionals responsible for ongoing development in clinical wards (the ward's head nurses and learning counselors) were interviewed. The data collection took place before the COVID pandemic. Results reveal self-regulatory strategies conditional for SRwpL in addition to strategies initiating, progressing, and evaluating the learning process. Head nurses and learning counselors report a lack of these conditional strategies and little variation, and sporadic engagement in all other self-regulatory strategies. To enhance (future) nurses' SRwpL, we suggest that clinical supervisors from educational institutions could exert a lasting influence by not only educating student nurses, but also fostering further professional development of counselors and head nurses to scaffold the SRwpL processes of future nurses in clinical wards.

Mapping health promotion practices across key sectors and its intersectoral approach at the local level: Study protocol.

AIMS: This study outlines a protocol aimed at identifying and mapping health promotion practices in need of development from the perspectives of key sectors responsible for it at the local level and from an intersectoral perspective across four Spanish regions. DESIGN: A complementary multi-method study combining survey methods and qualitative interviews will be adopted. METHODS: Purposive snowball sampling will be employed to select potentially rich informants from city councils, primary care centres, primary and secondary schools, and public health and civil society organizations in 12 municipalities sensitive to local health. Data on the degree of execution of health promotion activities, the level of intersectorality in their implementation, and their origins will be collected using PromoACTIVA questionnaires, an intersectoral typology model and an interview protocol. A parallel mixed analysis encompassing descriptive statistics and a 'framework analysis' will be performed. DISCUSSION: This study is expected to yield thorough and reliable insights into health promotion practices and omissions at the local level by focusing on key stakeholders, both individually and collaboratively. This information can enhance health promotion planning and improve its effectiveness, efficiency and contextual relevance. The development and testing of a methodology for the integration and interpretation of these data will ensure sustainable capacity building. IMPACT: Managers and practitioners interested in health promotion planning in the researched settings can benefit from a comprehensive map of the current state of their practices and insights into the starting points of collaboration. In addition, planners from other local settings will gain access to tools and methodologies to replicate and expand these maps to their own contexts. STAKEHOLDER ENGAGEMENT: Engaging key stakeholders with experience working in or with primary care centres, public health organizations, primary and secondary schools, civil society organizations, and city councils was vital to ensure the study's relevance and feasibility.

On Personality Measures and Their Data: A Classification of Measurement Approaches and Their Recommended Uses.

We employ a new approach for classifying methods of personality measurement such as self-judgment, mental ability, and lifespace measures and the data they produce. We divide these measures into two fundamental groups: personal-source data, which arise from the target person's own reports, and external-source data, which derive from the areas surrounding the person. These two broad classes are then further divided according to what they target and the response processes that produce them. We use the model to organize roughly a dozen kinds of data currently employed in the field. With this classification system in hand, we describe how much we might expect two types of measures of the same attribute to converge-and explain why methods often yield somewhat different results. Given that each measurement method has its own strengths and weaknesses, we examine the pros and cons of selecting a given type of measure to assess a specific area of personality.

Evaluation of contingency actions to control the spread of raccoon rabies in Ohio and Virginia.

The raccoon (Procyon lotor) variant of the rabies virus (RRV) is enzootic in the eastern United States and oral rabies vaccination (ORV) is the primary strategy to prevent and control landscape spread. Breaches of ORV management zones occasionally occur, and emergency "contingency" actions may be implemented to enhance local control. Contingency actions are an integral part of landscape-scale wildlife rabies management but can be very costly and routinely involve enhanced rabies surveillance (ERS) around the index case. We investigated two contingency actions in Ohio (2017-2019 and 2018-2021) and one in Virginia (2017-2019) using a dynamic, multi-method occupancy approach to examine relationships between specific management actions and RRV occurrence, including whether ERS was sufficient around the index case. The RRV occupancy was assessed seasonally at 100-km2 grids and we examined relationships across three spatial scales (regional management zone, RRV free regions, and local contingency areas). The location of a grid relative to the ORV management zone was the strongest predictor of RRV occupancy at the regional scale. In RRV free regions, the neighbor effect and temporal variability were most important in influencing RRV occupancy. Parenteral (hand) vaccination of raccoons was important across all three contingency action areas, but more influential in the Ohio contingency action areas where more raccoons were hand vaccinated. In the Virginia contingency action area, ORV strategies were as important in reducing RRV occupancy as a hand vaccination strategy. The management action to trap, euthanize, and test (TET) raccoons was an important method to increase ERS, yet the impacts of TET on RRV occupancy are not clear. The probability of detecting additional cases of RRV was exceptionally high (>0.95) during the season the index case occurred. The probability of detecting RRV through ERS declined in the seasons following initial TET efforts but remained higher after the contingency action compared to the ERS detection probabilities prior to index case incidence. Local RRV cases were contained within one year and eliminated within 2-3 years of each contingency action.

Assessing the acceptability and feasibility of remote spirometric monitoring for rural patients with interstitial lung disease: a multimethod approach.

INTRODUCTION: Interstitial lung disease encompasses a group of rare lung conditions causing inflammation and scarring of lung tissue. The typical method of monitoring disease activity is through pulmonary function tests performed in a hospital setting. However, accessing care can be difficult for rural patients due to numerous barriers. This study assesses the feasibility and acceptability of home spirometry telemonitoring using MIR-Spirometers and the patientMpower home-monitoring platform for rural patients with interstitial lung disease. METHODS: Unblinded, uncontrolled, prospective, multiple-methods study of the feasibility and utility of remote monitoring of 20 rural subjects with interstitial lung disease. Study assessments include adherence to twice weekly spirometry for 3 months in addition to mMRC dyspnea and EQ-5D-5L health-related quality of life questionnaires with each spirometry maneuver. Upon completion, subjects were encouraged to complete an 11-question satisfaction survey and participate in semi-structured qualitative interviews to further explore expectations and perceptions of rural patients to telehealth and remote patient monitoring. RESULTS: 19 subjects completed the 3-month study period. Adherence to twice weekly spirometry was mean 53% ± 38%, with participants on average performing 2.26 ± 1.69 maneuvers per week. The median (Range) number of maneuvers per week was 2.0 (0.0, 7.0). The majority of participants responded favorably to the patient satisfaction survey questions. Themes regarding barriers to access included: lack of local specialty care, distance to center with expertise, and time, distance, and high cost associated with travel. Remote monitoring was well perceived amongst subjects as a way to improve access and overcome barriers. CONCLUSIONS: Remote spirometry monitoring through web-based telehealth is acceptable and feasible for rural patients. Perceived benefits include overcoming access barriers like time, distance, and travel costs. However, cost, reimbursement, and internet access must be addressed before implementing it widely. Future studies are needed to ensure long-term feasibility and to compare outcomes with usual care.

Machine learning based multi-method interpretation to enhance dissolved gas analysis for power transformer fault diagnosis.

Accurate interpretation of dissolved gas analysis (DGA) measurements for power transformers is essential to ensure overall power system reliability. Various DGA interpretation techniques have been proposed in the literature, including the Doernenburg Ratio Method (DRM), Roger Ratio Method (RRM), IEC Ratio Method (IRM), Duval Triangle Method (DTM), and Duval Pentagon Method (DPM). While these techniques are well documented and widely used by industry, they may lead to different conclusions for the same oil sample. Additionally, the ratio-based methods may result in an out-of-code condition if any of the used gases fall outside the specified limits. Incorrect interpretation of DGA measurements can lead to mismanagement and may lead to catastrophic consequences for operating power transformers. This paper presents a new interpretation technique for DGA aimed at improving its accuracy and consistency. The proposed multi-method approach employs s scoring index and random forest machine learning principles to integrate existing interpretation methods into one comprehensive technique. The robustness of the proposed method is assessed using DGA data collected from several transformers under various health conditions. Results indicate that the proposed multi-method, based on the scoring index and random forest; offers greater accuracy and consistency than individual conventional interpretation methods alone. Furthermore, the multi-method based on random forest demonstrated higher accuracy than employing the scoring index only.

A respiratory critical care nurse training program for settings without a registered respiratory therapists: A protocol for a multimethod study.

BACKGROUND: The increasing elderly population and prevalence of chronic diseases have raised the need for ICU beds. However, limited bed availability often causes delays in admission, leading to wasted treatment time. OBJECTIVES: This study aims to create and implement a training program for respiratory critical care nurses (RCCNs) in settings without registered respiratory therapists (RRTs). METHODOLOGY/DESIGN: The study will use a multimethod sequential research design, including a scoping review, content analysis, Delphi methods, and a randomized clinical trial. The scoping review will gather extensive information on respiratory care for critically ill patients and the responsibilities of RCCNs. Content analysis and expert interviews will identify opportunities and challenges in RCCNs' provision of respiratory care. The Delphi method will integrate the results to develop a comprehensive training program for RCCNs. Subsequently, five RCCNs will undergo theoretical and practical examinations after completing the three-month training program, and the impact of RCCNs on critically ill patients' outcomes will be evaluated through a clinical trial. ANTICIPATED FINDINGS: The study aims to provide a comprehensive training program for RCCNs and investigate its impact on the outcomes of critically ill patients through a clinical trial. CONCLUSION: The training program will equip RCCNs with the necessary skills and knowledge to provide respiratory critical care from the emergency department to hospital discharge. This pioneering study aims to improve patient outcomes in settings without RRTs by offering a unique program for RCCNs. IMPLICATIONS FOR CLINICAL PRACTICE: The development and implementation of this training program for RCCNs in settings without RRTs will address the gap in respiratory care and potentially improve patient outcomes. By empowering RCCNs with specialized training, healthcare facilities can ensure the provision of high-quality respiratory care throughout a patient's critical illness journey, enhancing the efficiency and effectiveness of healthcare teams, especially in resource-limited settings.

Recent advances in enhanced technology of Cr(VI) bioreduction in aqueous condition: A review.

Due to the extensive application of chromate in industry, chromium-contaminated water has emerged as a significant hidden danger that threatens human health and the safety of the ecological environment. The reduction of Cr(VI) to Cr(III) through microbial processes has become one of the most notable methods for remediating water polluted by chromium due to its economic efficiency and environmentally friendly nature. However, several issues persist in its practical application, such as low reduction rates, the need for additional nutrients, and challenges in solid-liquid separation. Therefore, there is a growing focus on seeking enhanced methods for Cr(VI) microbial reduction, which has become a key area of research. This review represents the initial effort to systematically classify and summarize the means of enhancing Cr(VI) microbial reduction. It categorizes the enhancement methods into two main approaches: microbial-based and multi-method combined enhancement, offering detailed explanations for their mechanisms. This research provides both inspiration and theoretical support for the practical implementation of the Cr(VI) microbial reduction method.

Grey-matter structure in cortical and limbic regions correlates with general cognitive ability in old age.

According to the maintenance hypothesis (Nyberg et al., 2012), structural integrity of the brain's grey matter helps to preserve cognitive functioning into old age. A corollary of this hypothesis that can be tested in cross-sectional data is that grey-matter structural integrity and general cognitive ability are positively associated in old age. Building on Köhncke et al. (2021), who found that region-specific latent factors of grey-matter integrity are positively associated with episodic memory ability among older adults, we examine associations between general factors of grey-matter integrity and a general factor of cognitive ability in a cross-sectional sample of 1466 participants aged 60-88 years, 319 of whom contributed imaging data. Indicator variables based on T1-weighted images (voxel-based morphometry, VBM), magnetization-transfer imaging (MT), and diffusion tensor imaging-derived mean diffusivity (MD) had sufficient portions of variance in common to establish latent factors of grey-matter structure for a comprehensive set of regions of interest (ROI). Individual differences in grey-matter factors were positively correlated across neocortical and limbic areas, allowing for the definition of second-order, general factors for neocortical and limbic ROI, respectively. Both general grey-matter factors were positively correlated with general cognitive ability. For the basal ganglia, the three modality-specific indicators showed heterogenous loading patterns, and no reliable associations of the general grey-matter factor to general cognitive ability were found. To provide more direct tests of the maintenance hypothesis, we recommend applying the present structural modeling approach to longitudinal data, thereby enhancing the physiological validity of latent constructs of brain structure.

A correlated traits correlated (methods - 1) multitrait-multimethod model for augmented round-robin data.

We didactically derive a correlated traits correlated (methods - 1) [CTC(M - 1)] multitrait-multimethod (MTMM) model for dyadic round-robin data augmented by self-reports. The model is an extension of the CTC(M - 1) model for cross-classified data and can handle dependencies between raters and targets by including reciprocity covariance parameters that are inherent in augmented round-robin designs. It can be specified as a traditional structural equation model. We present the variance decomposition as well as consistency and reliability coefficients. Moreover, we explain how to evaluate fit of a CTC(M - 1) model for augmented round-robin data. In a simulation study, we explore the properties of the full information maximum likelihood estimation of the model. Model (mis)fit can be quite accurately detected with the test of not close fit and dynamic root mean square errors of approximation. Even with few small round-robin groups, relative parameter estimation bias and coverage rates are satisfactory, but several larger round-robin groups are needed to minimize relative parameter estimation inaccuracy. Further, neglecting the reciprocity covariance-structure of the augmented round-robin data does not severely bias the remaining parameter estimates. All analyses (including data, R scripts, and results) and the simulation study are provided in the Supporting Information. Implications and limitations are discussed.

SCInter: A comprehensive single-cell transcriptome integration database for human and mouse.

Single-cell RNA sequencing (scRNA-seq), which profiles gene expression at the cellular level, has effectively explored cell heterogeneity and reconstructed developmental trajectories. With the increasing research on diseases and biological processes, scRNA-seq datasets are accumulating rapidly, highlighting the urgent need for collecting and processing these data to support comprehensive and effective annotation and analysis. Here, we have developed a comprehensive Single-Cell transcriptome integration database for human and mouse (SCInter, https://bio.liclab.net/SCInter/index.php), which aims to provide a manually curated database that supports the provision of gene expression profiles across various cell types at the sample level. The current version of SCInter includes 115 integrated datasets and 1016 samples, covering nearly 150 tissues/cell lines. It contains 8016,646 cell markers in 457 identified cell types. SCInter enabled comprehensive analysis of cataloged single-cell data encompassing quality control (QC), clustering, cell markers, multi-method cell type automatic annotation, predicting cell differentiation trajectories and so on. At the same time, SCInter provided a user-friendly interface to query, browse, analyze and visualize each integrated dataset and single cell sample, along with comprehensive QC reports and processing results. It will facilitate the identification of cell type in different cell subpopulations and explore developmental trajectories, enhancing the study of cell heterogeneity in the fields of immunology and oncology.

Provision of online eye movement and desensitisation therapy (EMDR) for people with post-traumatic stress disorder (PTSD): a multi-method service evaluation.

Background: The evidence for the effectiveness of online EMDR for PTSD is scarce.Objective: This service evaluation aimed to assess how online EMDR compared to in-person EMDR, in terms of its potential effectiveness and acceptability to therapists and patients.Method: The evaluation was carried out in the Cardiff and Vale University Health Board Traumatic Stress Service. We compared the outcome of therapy (PTSD scores at end of treatment), number of sessions, drop-out rate, and adverse events using linear/logistic regression in those receiving online EMDR over a 12-month period with those who had received in-person therapy in the year previous to that. Interviews with therapists and clients who had provided or undertaken online EMDR explored their views and experiences of treatment. Interviews were analysed thematically.Results: 33 people received in-person EMDR (15.3 sessions, SD = 1.4), and 45 received online EMDR (12.4 sessions, SD = 0.9). 24 individuals completed therapy in-person, and 32 online. There was no evidence of a difference in therapy completion, drop-out rates or adverse events between the two delivery modes. There was weak evidence that those who completed EMDR online and had available data (N = 29), had slightly lower PTSD scores at the end of therapy compared to those who received in-person EMDR (N = 24) (17.1 (SD = 3.2) versus 24.5 (SD = 3.0), mean difference = 7.8, 95% CI -0.3, 15.9, p = .06). However, groups were not randomised and only those who completed treatment were analysed, so estimates may be biased. 11 patients and five therapists were interviewed. Overall, both therapists and clients viewed online EMDR as safe and effective. Benefits mentioned by clients included feeling more in control and not having to travel. Clients' concerns related to lack of privacy and 'transition time/space' between therapy and their daily lives.Conclusion: Results suggest that online EMDR is an acceptable, safe and effective alternative to in-person EMDR for PTSD in this service.

This service evaluation assessed how online Eye Movement Desensitisation and Reprocessing (EMDR) compared to in-person EMDR in people with PTSD.Individuals receiving online EMDR had lower PTSD scores at the end of therapy, but the evidence for this was weak and as this was not a randomised trial we do not know whether this was due to the mode of therapy or other characteristics of clients receiving online therapy.Clients and therapists generally viewed online EMDR as being safe and effective, and supported the availability of online EMDR for PTSD.

A model for improving the learning environment in high-stress and emotion-bound clinical settings.

INTRODUCTION: In clinical settings, it is necessary to create a clinical learning environment that provides the ground for the learners to acquire competencies especially in high-stress and emotion-bound clinical settings. METHODS: In the present study, a model for improving the learning environment in high-stress and emotion-bound clinical settings was designed by conducting a multi-method study in the form of three sub-studies. RESULTS: This model was designed with 3 pivotal concepts; organizing learning opportunities around safe care, fair participation in learning opportunities and creating a positive emotional climate and 6 peripheral concepts; designing physical space and appropriate equipment for education and care, preparing learners to attend the clinical setting, preparing learners to participate in learning opportunities, balancing the learner role and the care provided by the learners, the presence of a competent educator and providing education to all learners, and acquiring the ability to manage emotions by learners, faculty and staff. CONCLUSIONS: The implementation of the model obtained from this study provides the basis for solving the challenges of clinical learning environments, especially in high-stress and emotion-bound clinical settings, and improves clinical education and the realization of educational and care outcomes.

Corrigendum: Vision-related tasks in children with visual impairment: a multi-method study.

[This corrects the article DOI: 10.3389/fpsyg.2023.1180669.].

Time out weekly smile: A pilot test of a virtual respite program.

Respite care provides alternative care for persons living with dementia (PLWD) and is intended to alleviate the burden of caregiving. However, the evaluation of respite programs is limited. Time Out Weekly Smile (TOWS) is a virtual intergenerational respite care program designed to meet the needs of PLWD and their care partners and provide allied health students opportunities to serve as respite volunteers. This multi-method pilot study aimed to evaluate the experience of TOWS participation for all (i.e., care partners, PLWD, students) and identify outcomes of interest for future efficacy studies. Semi-structured interviews with all participants after experiencing TOWS were analyzed using conventional content analysis methods and student surveys of dementia attitudes were summarized. Results demonstrated lasting mutual benefits for all participants including social connection and creating meaning. Our findings suggest that including all respite care participants in future efficacy studies will elucidate the wide impact of respite care programs.