Development of an infection control competency scale for clinical nurses: an instrument design study.

BACKGROUND: Nurses work in close proximity to patients, and as such, they can have a direct impact on the control of infections; thus, it is important for nurses to be competent in infection control. However, the scales used to measure infection control performance in nurses are not suitable for measuring infection control competencies that reflect nurses' expertise, clinical environment, and work. Thus, this study aimed to develop a valid and reliable measure to assess infection control competency of clinical nurses. METHODS: A concept analysis, using a hybrid model, was performed on the infection control competency of clinical nurses to confirm the components and develop 67 initial items. Ten experts evaluated the content validity of these items, and a Korean language expert and a Doctor of Nursing reviewed the questions to consolidate them into 59 items. Subsequently, 267 nurses working at a certified tertiary hospital in D City were surveyed to confirm the validity and reliability of the scale. RESULTS: As a result of the study, the final scale comprising seven factors and 33 questions was derived, and the cumulative explanatory power of these factors was 60.8%. To verify convergent and discriminant validity, confirmatory factor analysis was conducted, and the average variance extraction index, composite reliability values, and confidence interval of the correlation coefficient between factors were confirmed. Convergent and discriminant validities were verified by comparison with standard values. The Cronbach's α for the entire scale in this study was 0.93. Consequently, the validity and reliability of the clinical nurses' infection control competency measurement scale were verified. CONCLUSIONS: The validity and reliability of the infection control competency measurement scale for clinical nurses (ICCS-CN) developed in this study was verified, and the scale can be effectively used to measure the infection control competency of clinical nurses. Measuring the infection control competency of clinical nurses will help reduce the harm caused by infection and ensure patient safety by decreasing infection rates in medical institutions.

Inflammatory bowel disease patients' perspectives of non-medical needs.

BACKGROUND: Inflammatory bowel disease (IBD) imposes a huge burden on the healthcare systems and greatly declines the patient's quality of life. However, there is a paucity of detailed data regarding information and supportive needs as well as sources and methods of obtaining information to control different aspects of the disease from the perspectives of the patients themselves. This study aimed to establish the IBD patients' preferences of informational and supportive needs through Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). METHODS: IBD patients were recruited from different centers. Considering inclusion and exclusion criteria, 521 participants were filled a predefined questionnaire. This questionnaire was prepared through literature review of the recent well-known guidelines on the needs of IBD patients, which was further approved by the experts of IBD area in three rounds of Delphi consensus. It includes 56 items in four sections of informational needs (25), supportive needs (15), sources of information (7), and methods of obtaining information (9). RESULTS: In particular, EFA was used to apply data reduction and structure detection. Given that this study tries to identify patterns, structures as well as inter-relationships and classification of the variables, EFA was utilized to simplify presentation of the variables in a way that large amounts of observations transform into fewer ones. Accordingly, the EFA identified five factors out of 25 items in the information needs section, three factors out of 15 items in the supportive needs section, two factors out of 7 items in the information sources section, and two factors out of 9 items in the information presentation methods. Through the CFA, all 4 models were supported by Root Mean Squared Error of Approximation (RMSEA); Incremental Fit Index (IFI); Comparative Fit Index (CFI); Tucker-Lewis Index (TLI); and SRMR. These values were within acceptable ranges, indicating that the twelve factors achieved from EFA were validated. CONCLUSIONS: This study introduced a reliable 12-factor model as an efficient tool to comprehensively identify preferences of IBD patients in informational and supportive needs along with sources and methods of obtaining information. An in-depth understanding of the needs of IBD patients facilitates informing and supporting health service provision. It also assists patients in a fundamental way to improve adaptation and increase the quality of life. We suggest that health care providers consider the use of this tool in clinical settings in order to precisely assess its efficacy.

Development and Validation of the Interprofessional Collaboration Practice Competency Scale (IPCPCS) for Clinical Nurses.

Interprofessional collaborative practice is a core competency and is the key to strengthening health practice systems in order to deliver safe and high-quality nursing practice. However, there is no Interprofessional Collaboration Practice Competency Scale (IPCPCS) for clinical nurses in Taiwan. Therefore, the purposes of this study were to develop an IPCPCS and to verify its reliability and validity. This was a psychometric study with a cross-sectional survey using convenience sampling to recruit nurses from the seven hospitals of a medical foundation. A self-designed structured IPCPCS was rolled out via a Google survey. The data were analyzed using descriptive statistics, principal-axis factoring (PAF) with Promax rotation, Pearson correlation, reliability analysis, and one-way ANOVA. PAF analysis found that three factors could explain 77.76% of cumulative variance. These were collaborative leadership and interprofessional conflict resolution, interprofessional communication and team functioning, and role clarification and client-centered care. The internal consistency of the three factors (Cronbach's α) was between 0.970 to 0.978, and the Pearson correlation coefficients were between 0.814 to 0.883. Significant differences were presented in the IPCPCS score by age, education level, total years of work experience, position on the nursing clinical ladder, and participation in interprofessional education. In conclusion, the three factors used in the IPCPCS have good reliability and construct validity. This scale can be used as an evaluation tool of in-service interprofessional education courses for clinical nurses.

A comprehensive multivariate analysis of the center of pressure during quiet standing in patients with Parkinson's disease.

BACKGROUND: We hypothesized that postural instability observed in individuals with Parkinson's disease (PD) can be classified as distinct subtypes based on comprehensive analyses of various evaluated parameters obtained from time-series of center of pressure (CoP) data during quiet standing. The aim of this study was to characterize the postural control patterns in PD patients by performing an exploratory factor analysis and subsequent cluster analysis using CoP time-series data during quiet standing. METHODS: 127 PD patients, 47 aged 65 years or older healthy older adults, and 71 healthy young adults participated in this study. Subjects maintain quiet standing for 30 s on a force platform and 23 variables were calculated from the measured CoP time-series data. Exploratory factor analysis and cluster analysis with a Gaussian mixture model using factors were performed on each variable to classify subgroups based on differences in characteristics of postural instability in PD. RESULTS: The factor analysis identified five factors (magnitude of sway, medio-lateral frequency, anterio-posterior frequency, component of high frequency, and closed-loop control). Based on the five extracted factors, six distinct subtypes were identified, which can be considered as subtypes of distinct manifestations of postural disorders in PD patients. Factor loading scores for the clinical classifications (younger, older, and PD severity) overlapped, but the cluster classification scores were clearly separated. CONCLUSIONS: The cluster categorization clearly identifies symptom-dependent differences in the characteristics of the CoP, suggesting that the detected clusters can be regarded as subtypes of distinct manifestations of postural disorders in patients with PD.

Evaluating the psychometric properties of the Swedish version of the Impostor Profile scale (IPP30).

The Impostor Profile scale (IPP30) is a recently developed tool designed to delve into the nuanced aspects of the Impostor Phenomenon (IP), a psychological phenomenon where individuals wrongly attribute their successes to external factors, discounting their own abilities and often feeling like frauds. This study aimed to assess the psychometric properties, including factor structure, internal consistency, and nomological validity, of the Swedish version of IPP30 (S-IPP30). In a sample of Swedish students (N = 1,010; 76.7% women; Mage = 25.65, SDage = 6.43), Exploratory and Confirmatory Factor Analyses were conducted to scrutinize S-IPP30's structure. The analyses supported a bifactor model with six specific factors and one overarching factor. However, two items in the scale displayed poor alignment with their intended subscales, adversely affecting the internal consistency of the two subscales. Consequently, a rephrasing of these items was suggested. The remaining four S-IPP30 subscales exhibited good internal consistency (Cronbach's α = 0.76-0.90, McDonald's ω = 0.77-0.91). Convergent validity was confirmed by largely replicating correlations among various S-IPP30 facets, the unidimensional IP measure, personality variables, and self-esteem, thereby accomplishing the goal of validating S-IPP30. This proposed modification of the two items requires further validation using a new sample to ensure its appropriateness and effectiveness in measuring the intended constructs.

From everyday life to measurable problematic smartphone use: The development and validation of the Smartphone Use Problems Identification Questionnaire (SUPIQ).

Background and aims: Problematic smartphone use (PSU) has gained attention, but its definition remains debated. This study aimed to develop and validate a new scale measuring PSU-the Smartphone Use Problems Identification Questionnaire (SUPIQ). Methods: Using two separate samples, a university community sample (N = 292) and a general population sample (N = 397), we investigated: (1) the construct validity of the SUPIQ through exploratory and confirmatory factor analyses; (2) the convergent validity of the SUPIQ with correlation analyses and the visualized partial correlation network analyses; (3) the psychometric equivalence of the SUPIQ across two samples through multigroup confirmatory factor analyses; (4) the explanatory power of the SUPIQ over the Short Version of Smartphone Addiction Scale (SAS-SV) with hierarchical multiple regressions. Results: The results showed that the SUPIQ included 26 items and 7 factors (i.e., Craving, Coping, Habitual Use, Social Conflicts, Risky Use, Withdrawal, and Tolerance), with good construct and convergent validity. The configural measurement invariance across samples was established. The SUPIQ also explained more variances in mental health problems than the SAS-SV. Discussion and conclusions: The findings suggest that the SUPIQ shows promise as a tool for assessing PSU. Further research is needed to enhance and refine the SUPIQ as well as to investigate its clinical utility.

Development and Validation of a Questionnaire to Measure a Medical Student's Interest in the Subject of Community Medicine.

Background: Lack of interest has been cited by many studies as the predominant cause for students undervaluing the subject of Community Medicine. However, there are few valid and reliable tools that could measure this interest. To develop and validate a questionnaire to measure a medical student's interest in the subject of Community Medicine. Material and Methods: Cross-sectional study conducted at MTMC Jamshedpur. The Community Medicine Interest Questionnaire (CMIQ) was developed in two phases: item generation and item reduction. Items were generated through a review of the literature, focused group discussions, and in-depth interviews. In the item reduction phase, the content and construct validity of the questionnaire were ascertained. Content validity was carried out by a group of experts based on three parameters: the interrater agreement on the representativeness of the item, the interrater agreement on the clarity of the items, and the content validity index. The construct validity was ascertained through pilot testing of 480 responses from undergraduate medical students. Exploratory factor analysis through principal axis factoring and Promax rotation. Results: Twenty-five items were generated. Three of these items were removed following expert validation. Furthermore, three items were removed after pilot testing. The resulting CMIQ consisted of 19 items distributed over three dimensions: feeling, value, and predisposition to reengage toward the subject. The internal consistency of each of the subscales was ascertained. Conclusions: CMIQ is a valid and reliable tool that can be used to measure such interest for providing educational interventions.

A Data Mining Study for Analysis of Acupoint Selection and Combinations in Acupuncture Treatment of Carpal Tunnel Syndrome.

Background: Carpal tunnel syndrome (CTS) is the most prevalent upper limb compressive neuropathy. A considerable number of clinical trials and meta-analyses have provided evidence supporting the effectiveness of acupuncture in treating CTS. Nevertheless, the ideal choice of acupoints remains ambiguous. Objective: A data mining analysis was conducted with the objective of determining the most effective acupoint combinations and selection for CTS. Methods: A search was conducted across seven Chinese and English electronic bibliographic databases spanning from their inception to March 2023. Selected were clinical trials that evaluated the efficacy of acupuncture therapy for CTS, with or without randomised controlled methods. Data extraction mainly included acupoint prescriptions. Information such as first author, study design and study setting were also extracted. The principal outcomes comprised the clinical manifestations linked to CTS. Statistical descriptions were generated using Excel 2019. The analysis of association rules was conducted using SPSS Modeler 18.0. Using SPSS Statistics 26.0, exploratory factor analysis and cluster analysis were conducted. Results: 142 trials (including 86 RCTs and 56 non RCTs) were identified, and 193 groups of effective prescriptions involving 68 acupoints were extracted. The most frequently used acupoints were Da-ling (PC7), Nei-guan (PC6), He-gu (LI4), Wai-guan (TE5), and Yang-xi (LI5). The most frequently used meridians were the pericardial meridian and the large intestine meridian. The majority of special acupoints used were Five-shu points and Yuan-source points, with acupoints on the upper limbs being the most frequently used. The core acupoint groups were analyzed and 11 groups of association rules, 8 factors, and 5 effective cluster groups were obtained. Conclusion: The evidence-based acupoint selection and combinations of acupuncture therapy for carpal tunnel syndrome were provided by the findings of this study.

Psychometric properties of the Spanish version of the Health of Nation Outcome Scales for schizophrenia patients.

Accessible Summary What is known on the subject? Functioning is one of the most affected areas in schizophrenia. Social, occupational and personal domains are affected, and these deficits are responsible for a major part of the disability associated with the disorder. There are several instruments to measure functioning, but the HoNOS provides a wide assessment of impairment in 12 areas of functioning. What does the paper add to existing knowledge? The Spanish version of the HoNOS shows good properties in terms of reliability and validity for use in schizophrenia patients. Although some authors divide the scale according to proposed underlying dimensions, in schizophrenia this division may not be appropriate. What are the implications for practice? A reliable and easy-to-use measure of impairment in different areas of functioning is useful for optimizing the treatment and rehabilitation of patients with schizophrenia. ABSTRACT: INTRODUCTION: The HoNOS scale was designed for the assessment of psychosocial impairment in various domains. While it is widely used in psychiatric settings, it has not been validated in Spanish for use in patients with schizophrenia. AIM: To examine the psychometric properties of the Spanish version of the HoNOS scale in a sample of schizophrenia patients. METHOD: A total of 194 individuals aged 18 to 65 with schizophrenia spectrum diagnoses were evaluated using the HoNOS. Illness severity and level of functioning were also assessed. RESULTS: The HoNOS showed moderate internal consistency, good inter-observer reliability and good test-retest reliability. Factor analysis revealed an internal structure consisting of four factors, with item distribution differing from the theoretical dimensions proposed for the original scale. DISCUSSION: The Spanish version of the HoNOS scale is a reliable and valid instrument for assessing psychosocial impairment in individuals diagnosed with schizophrenia spectrum disorders. However, further research is needed to determine its internal structure more accurately. IMPLICATIONS FOR PRACTICE: The HoNOS scale provides researchers and clinicians with a valid measure of impairment in twelve different domains, which can facilitate and guide the treatment of schizophrenia patients.

Validity and reliability of the Greek version of Wijma delivery expectancy/experience questionnaire (Version A) among low-risk pregnant women.

BACKGROUND: Fear of childbirth is a frequent health issue for pregnant women. The Wijma Delivery Expectancy/Experience Questionnaire (W-DEQ) is a widely used instrument to measure the fear of childbirth during the antenatal period. The aim of the study was to assess the psychometric properties of the W-DEQ (version A) in a sample of Greek pregnant women. METHODS: Low-risk pregnant women in the second or third trimester of pregnancy (N = 201) were invited to participate in the study and to complete a booklet of questionnaires including the Greek versions of W-DEQ-A, State-Trait Anxiety Inventory (STAI), Coping Orientations to Problems Experienced (Brief COPE), Perceived Stress Scale (PSS-10) and Edinburgh Postnatal Depression Scale (EPDS). Exploratory (EFA) and confirmatory factor analysis (CFA) was performed. RESULTS: The mean age of participants was 34.2 years (SD = 4.3 years). EFA yielded six factors ("Lack of self-efficacy", "Lack of positive anticipation", "Lack of feeling lonely", "Concerns about delivery and losing control", "Calmness", and "Concern for the child") of 33 items of W-DEQ-A. CFA confirmed the multidimensionality of the instrument. All Cronbach's alpha were over 0.7, indicating acceptable reliability of the factors. All factors were significantly correlated with each other, and convergent validity was demonstrated by a significant association with stress, anxiety, and depression among low-risk pregnant women. CONCLUSION: The Greek version of W-DEQ-A proved to be a valid and reliable instrument of fear of childbirth among Greek low-risk pregnant women.

A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA).

Spearman (Am J Psychol 15(1):201-293, 1904. https://doi.org/10.2307/1412107 ) marks the birth of factor analysis. Many articles and books have extended his landmark paper in permitting multiple factors and determining the number of factors, developing ideas about simple structure and factor rotation, and distinguishing between confirmatory and exploratory factor analysis (CFA and EFA). We propose a new model implied instrumental variable (MIIV) approach to EFA that allows intercepts for the measurement equations, correlated common factors, correlated errors, standard errors of factor loadings and measurement intercepts, overidentification tests of equations, and a procedure for determining the number of factors. We also permit simpler structures by removing nonsignificant loadings. Simulations of factor analysis models with and without cross-loadings demonstrate the impressive performance of the MIIV-EFA procedure in recovering the correct number of factors and in recovering the primary and secondary loadings. For example, in nearly all replications MIIV-EFA finds the correct number of factors when N is 100 or more. Even the primary and secondary loadings of the most complex models were recovered when the sample sizes were at least 500. We discuss limitations and future research areas. Two appendices describe alternative MIIV-EFA algorithms and the sensitivity of the algorithm to cross-loadings.

Validity and reliability of a teledentistry survey among dental practitioners in Saudi Arabia.

Background: The perception of teledentistry use among dental practitioners in various contexts was assessed using the Teledentistry Survey (the TDS-24). However, this survey's psychometric analyses have not yet been analysed. This present study aims to examine the validity and reliability of the TDS-24 in a sample of dental practitioners in Saudi Arabia. Methods: A self-administered questionnaire, including sociodemographic characteristics and the TDS, was distributed as a cross-sectional survey to 800 current dental practitioners in Saudi Arabia recruited via convenience and snowball sampling. The construct validity and reliability of the TDS were assessed using exploratory factor analysis (EFA) and Cronbach's alpha. Results: The EFA of the survey yielded 20 items supporting a four-factor structure as follows: factor I (10 items), factor II (four items), factor III (three items) and factor IV (three items). The overall Cronbach's alpha was 0.85, while it was 0.86 for the first factor, 0.70 for the second factor, 0.52 for the third factor and 0.57 for the fourth factor. Conclusions: The TDS-20, after excluding four items, revealed four factors with adequate psychometric properties, making it a valid and reliable tool in assessing teledentistry perceptions among dental practitioners in this study sample.

Attitudes in music practice: a survey exploring the self-regulated learning processes of advanced Brazilian and Portuguese musicians.

Introduction: This study aimed to investigate the Self-Regulated Learning behaviors of advanced Brazilian and Portuguese musicians and how these processes vary in terms of gender, nationality, musical instrument, quantity of practice, expertise, and professional experience. Methods: 300 participants fully completed the 22-item questionnaire "Attitudes in music practice". The sample comprised of 54.3% males, 44.0% females, and 1% non-binary; 0.7% did not respond. 68.0% (n = 204) were Brazilian, and 32.0% (n = 96) were Portuguese. The mean age was 32.70 years old (SD = 11.261), the mode was 22 years old, with a range of 18 to 66 years. Data analysis procedure included exploratory factor analysis, internal consistency, independent sample t test, analysis of variance (ANOVA), and chi-square tests. Results: Exploratory Factor Analysis generated three factors: Practice Organization, Personal Resources, and External Resources. The results report there are no differences in SRL scores in terms of gender, nationality, and musical instrument. However, One-way ANOVA test results convey differences in SRL scores and the quantity of practice and expertise with those musicians who reported practicing for longer periods scoring more highly than participants who declared spending less time on daily practice. Discussion: The results for the expertise variables suggest that more experienced and older musicians scored higher in Personal Resources and lower in External Resources indicating that, as musicians gain in experience, their metacognitive processes become more evident than the social factors of their performance.

A Preliminary Exploratory Factor Analysis of the BDSM Counselor Competency Scale.

BDSM practitioners represent a large sexual minority group often overlooked, misunderstood, and unnecessarily pathologized by mental health clinicians. Although developing cultural competence for diverse and marginalized populations is widely understood to be a core component of delivering efficacious therapeutic services that can counteract these stigmatizing mental healthcare experiences, no measures currently exist that assess clinicians' self-reported competence to work with BDSM practitioners. Previous measurement work has been done to establish self-report competency scales for clinicians working with other sexual and gender minority groups, but no such scales exist for working with BDSM practitioners. In the current study, we adapted a version of the Sexual Orientation Counselor Competency Scale (SOCCS) to measure clinicians' self-reported competence to work with BDSM practitioners and did a preliminary exploratory factor analysis of the new scale (n = 124). After an initial 24-item administration, principal axis factoring of our final 17-item solution revealed two latent factors (attitudes and skills/knowledge) consistent with the 2013 SOCCS and the theoretical constructs of cultural competency. The BDSM Counselor Competency Scale (BDSM-CCS) can help clinicians, practices, agencies, and training programs track self-reported cultural competence with the BDSM population. Future research directions for scale development and clinical and training applications are discussed.

The Translation, Culture-Adaptation and Psychometric Evaluation of the Cardiac Rehabilitation Barriers Scale Among Chinese Older Population.

Purpose: This study aimed to translate and cross-culturally adapt the cardiac rehabilitation barriers scale to the Chinese, and examine its reliability and validity among the older population. Methods: An approach comprising translation, cultural adaptation, reliability, and validity examination in the Chinese version was conducted in two hospitals in Jilin, China. The t-tests were used to compare the sex differences between each item. Participants included Chinese individuals >60 who were eligible for the cardiac rehabilitation program. Results: In total, 325 participants completed the questionnaire with an average age of 61.23 ± 9.68 years. The item-total correlations were 0.432 to 0.678. Factor analysis of CRBS-C (Kaiser Meyer Olkin = 0.867, Bartlett's test p = 0.000) revealed four factors: logistical factors, comorbidities/functional status, perceived need/healthcare factors, and work/time conflict. The confirmatory factor analysis (CFA) indicated a good model fit (χ2/df = 1.84, RMSEA = 0.051, CFI = 0.953, TLI = 0.945, SRMR=0.046). Cronbach's alpha was 0.88 for the scale, ranging from 0.801 to 0.88 for each item, which indicates the internal reliability was acceptable. Conclusion: The Chinese version of the CRRS has acceptable reliability and validity in the Chinese elderly population.

Stability and consistency of symptom clusters in younger versus older patients receiving chemotherapy.

BACKGROUND: By 2035, the number of newly diagnosed cancer cases will double and over 50% will be in older adults. Given this rapidly growing demographic, a need exists to understand how age influences oncology patients' symptom burden. The study purposes were to evaluate for differences in the occurrence, severity, and distress of 38 symptoms in younger (< 60 years) versus older (≥ 60 years) oncology patients undergoing chemotherapy and to evaluate for differences in the stability and consistency of symptom clusters across the two age groups. METHODS: A total of 1329 patients were dichotomized into the younger and older groups. Patients completed demographic and clinical questionnaires prior to the initiation of their second or third cycle of chemotherapy. A modified version of Memorial Symptom Assessment Scale was used to evaluate the occurrence, severity, and distress of 38 common symptoms associated with cancer and its treatment. Differences between the two age groups in demographic and clinical characteristics and ratings of occurrence, severity, and distress for the 38 symptoms were evaluated using parametric and nonparametric tests. Exploratory factor analyses were done within each age group to identify symptom clusters using symptom occurrence rates. RESULTS: Compared to the younger group (14.8 (± 7.0)), older adults reported a lower mean number of symptoms (12.9 (± 7.2)). Older patients experienced lower occurrence rates for almost 50% of the symptoms. Regarding symptom clusters, an eight-factor solution was selected for both age groups. Across the two age groups, the eight symptom clusters (i.e., physical and cognitive fatigue, respiratory, psychological, hormonal, chemotherapy-related toxicity, weight gain, gastrointestinal, epithelial) were stable. However, symptoms within the physical and cognitive, chemotherapy-related toxicity, and gastrointestinal clusters were not consistent across the age groups. CONCLUSIONS: To be able to provide tailored and effective symptom management interventions to older oncology patients, routine assessments of the core symptoms unique to the symptom clusters identified for this group warrants consideration. The underlying mechanism(s) for these inconsistencies in symptom burden is an important focus for future studies.

Development of the ethical decision-making competence scale.

BACKGROUND: Developing confident capacity for ethical decision-making is vital in nursing education. However, no tool examines nursing students' competence in ethical decision-making. AIM: This study aimed to develop an Ethical Decision-Making Competence Scale (EDM-CS) to assess ethical care decision-making competencies in nursing students. PARTICIPANTS AND RESEARCH CONTEXT: Original items were obtained by employing a focus group and the Delphi method. A cross-sectional design was used to confirm the items remained on the scale. Additionally, the scale's reliability and validity were assessed. The EDM-CS was completed by 498 nursing students. An exploratory factor analysis (EFA) was used to examine the factor structure based on data from group 1 (n = 250). A second-order confirmatory factor analysis (CFA) was used to examine the model's fitness based on data from group 2 (n = 248). This study was conducted between August 2022 and July 2023. ETHICAL CONSIDERATIONS: The Institutional Review Board of OO Medical University Hospital approved this study's design and procedure. RESULTS: From the original 34 items, nine were deleted in the EFA. Thus, the EDM-CS had 25 items and a four-factor structure (ethical judgement, ethical sensitivity, ethical motivation, and ethical action), which explained 60.97% of the total variance. A second-order CFA identified a second-order factor termed 'ethical decision-making competence' with 18 items (root mean square residual = 0.052). The EDM-CS scores correlated significantly and positively with the scores on the Scale of Protective Factor-24 (r = 0.47, p < .001), which indicated good convergent validity. Cronbach's alpha coefficient of the final EDM-CS was 0.90 and ranged from 0.73 to 0.80 for the four subscales. DISCUSSION AND CONCLUSION: The EDM-CS was validated to fit the data adequately. It can be used to evaluate clinical nursing students' ethical decision-making abilities and to develop education strategies to improve their ethical care competence.

Analyzing Multiple Social Determinants of Health Using Different Clustering Methods.

Social determinants of health (SDoH) have become an increasingly important area to acknowledge and address in healthcare; however, dealing with these measures in outcomes research can be challenging due to the inherent collinearity of these factors. Here we discuss our experience utilizing three statistical methods-exploratory factor analysis (FA), hierarchical clustering, and latent class analysis (LCA)-to analyze data collected using an electronic medical record social risk screener called Protocol for Responding to and Assessing Patient Assets, Risks, and Experience (PRAPARE). The PRAPARE tool is a standardized instrument designed to collect patient-reported data on SDoH factors, such as income, education, housing, and access to care. A total of 2380 patients had complete PRAPARE and neighborhood-level data for analysis. We identified a total of three composite SDoH clusters using FA, along with four clusters identified through hierarchical clustering, and four latent classes of patients using LCA. Our results highlight how different approaches can be used to handle SDoH, as well as how to select a method based on the intended outcome of the researcher. Additionally, our study shows the usefulness of employing multiple statistical methods to analyze complex SDoH gathered using social risk screeners such as the PRAPARE tool.

Using Exploratory Structural Equation Modeling to Examine Caregiver Distress and Its Contributors.

OBJECTIVES: To develop and test the direct and indirect associations between caregiver distress and its many contributing factors and covariates. DESIGN: Analysis using data from a national, cross-sectional survey of Canadian caregivers. SETTING AND PARTICIPANTS: A total of 6502 respondents of the 2012 General Social Survey-Caregiving and Care-receiving who self-identified as a caregiver. METHODS: We used exploratory structural equation modeling to achieve our aims. Based on literature review, we hypothesized a structural model of 5 caregiving factors that contribute to distress: caregiving burden, caregiving network and support, disruptions of family and social life, positive emotional experiences, and caregiving history. Survey items hypothesized to measure each latent factor were modeled using exploratory factor analysis (EFA). After establishing a well-fit EFA model, structural equation modeling was performed to examine the relationships between caregiving factors and caregiver distress while controlling for covariates such as caregiver's and care-recipient's sociodemographic characteristics and kinship. RESULTS: EFA established a well-fit model that represented caregiver distress and its 5 contributing factors as hypothesized. Although all 5 had significant effects on caregiver distress, disruptions of family and social life contributed the most (ß = 0.462), almost 3 times that of caregiving burden (ß = 0.162). Positive emotional experiences also substantially reduced distress (ß = -0.310). CONCLUSIONS AND IMPLICATIONS: Understanding the multifaceted nature of caregiver distress is crucial for developing effective strategies to support caregivers. In addition to reducing caregiving burden, having flexible resources and policies to minimize disruptions to caregivers' families (eg, flexible work policies; family-oriented education, training, and counseling) and enhance the positive aspects of caregiving may more effectively reduce distress.

Satisfaction with asynchronous e-learning: An exploratory factor analysis of the Learner Satisfaction with Asynchronous e-Learning (LSAeL) instrument.

AIM: To describe the development and psychometric testing of the Learner Satisfaction with Asynchronous e-Learning (LSAeL) instrument. BACKGROUND: Existing satisfaction with e-learning instruments may not accurately evaluate learner satisfaction with constructs associated with asynchronous e-learning. DESIGN: Methodological study. METHODS: Content, face and construct validity of the instrument were evaluated using a two-stage process. A five-member expert panel evaluated the instrument's content and face validity. A content validity index and a modified kappa co-efficient was used to calculate the content validity of individual test items and the global instrument and to adjust for chance agreement between raters. These data were then reviewed and individual items were removed, retained or refined accordingly. Using an empirically informed wholly asynchronous e-learning program 237 nursing students from a regional university in New South Wales, Australia completed the 35 item LSAeL instrument. An exploratory factor analysis (EFA) was then conducted to explore the dimensionality of the instrument. RESULTS: Exploratory factor analysis identified a seven-factor solution with 30 items, explaining an 86.1% of the total variance, was the best fit for the data. CONCLUSION: The study demonstrates that the construct validity of the LSAeL instrument is acceptable. Instrument development is an iterative process and further testing with other cohorts and in other settings is required.