Job analysis of vaccination health workers at public health centers and sub-centers.

OBJECTIVE: To analyze duties, tasks, and task elements of health workers in charge of vaccination at public health centers in South Korea. DESIGN: Descriptive study using a survey. SAMPLE: Health workers in charge of vaccination for more than 1 year at 254 public health centers in South Korea. Of 631 health workers, 401 responded to the questionnaire, and 379 responses were included in the analysis after excluding 22 incomplete responses. MEASUREMENTS: The Developing A Curriculum (DACUM) workshop was conducted to identify the frequency, importance, and difficulty of duties, tasks, and task elements. RESULTS: Four duties (vaccination promotion, vaccination administration and symptom management, execution of vaccination, and vaccination education), 18 tasks, and 81 task elements were identified. "Execution of vaccination" exhibited the highest determinant coefficient. "Implementing the budget" exhibited the highest determinant coefficient among tasks, and "dealing with an emergency in the case of adverse events" exhibited the highest determinant coefficient among task elements. CONCLUSIONS: Duty, task, and task elements with high determinant coefficients have high educational needs. Education demands was higher for administrative work than for direct vaccination. Developing an educational curriculum based on DACUM results could contribute to the professional education of vaccine workers.

Relationship Between Electronic Health Literacy and Self-Management in People With Type 2 Diabetes Using a Structural Equation Modeling Approach.

BACKGROUND: Electronic health (eHealth) literacy is a relatively new concept used to determine health outcomes. However, it is not well known how eHealth literacy relates to health outcomes such as diabetes self-management. PURPOSE: This study was designed to examine the relationships among eHealth literacy, self-efficacy, social support, and self-management in people with Type 2 diabetes. METHODS: A cross-sectional design was used to examine secondary data from a field survey of people with Type 2 diabetes recruited from outpatient clinics from August to December 2021 ( N = 453). A structural equation model was used that first analyzed the measurement model using confirmatory factor analysis and then tested the hypothesized structural model to estimate the expected relationships among the study variables. The significance of the statistical estimates for the model was assessed based on the 95% bias-corrected bootstrap confidence interval from 5,000 bootstrap resamples. RESULTS: Significant, indirect relationships were found between eHealth literacy and self-management via self-efficacy (ß = 0.26, B = 0.17, 95% CI [0.10, 0.24]) and via social support and, in turn, self-efficacy (ß = 0.08, B = 0.05, 95% CI [0.04, 0.08]). eHealth literacy, social support, and self-efficacy together explained 58.1% of the variance in self-management. CONCLUSION/IMPLICATIONS FOR PRACTICE: This study provides new evidence regarding how eHealth literacy relates to self-management in people with Type 2 diabetes via two indirect pathways, including self-efficacy alone and social support and self-efficacy in series. An eHealth literacy program for self-management should be developed in clinical practice that includes strategies for inducing synergistic effects from self-efficacy and social support on self-management in people with Type 2 diabetes.

Measurement invariance of the patient health questionnaire-9 depression scale in a nationally representative population-based sample.

The Patient Health Questionnaire-9 (PHQ-9) is widely used to measure the severity of depressive symptoms and to screen for depressive disorder, but its measurement invariance has received little research attention. The aim of this study was to assess the measurement invariance of the PHQ-9 across various sociodemographic and medical-condition groups. The structural validity and internal consistency of the PHQ-9 were also assessed as the prerequisite properties for measurement invariance. This study was conducted using data from the Korea National Health and Nutrition Examination Survey. The included participants comprised 5,347 people older than 19 years. Exploratory graph analysis (EGA) and confirmatory factor analysis (CFA) were performed to determine structural validity, and the omega coefficient (ω) was used to determine internal consistency. Measurement invariance (configural, metric, and scalar invariance) was evaluated using multigroup confirmatory factor analysis (MGCFA). The single structural model of the PHQ-9 that was validated by EGA was also satisfactory with fit indices of χ2 = 770.765 (p < 0.001), CFI = 0.944, SRMR = 0.040, and RMSEA = 0.076 (90% CI = 0.072-0.081). The ω of the PHQ-9 was 0.812, implying satisfactory internal consistency. The one-factor PHQ-9 had equivalent overall structure, factor loadings, and item intercepts across age groups, suggesting invariance across ages. Partial scalar invariance was demonstrated across sex and marital-status groups. Partial metric and scalar invariance were supported across education groups. Scalar invariance was supported among all of the medical-condition (hypertension, diabetes, cancer, arthritis, asthma, and heart disease) groups. Overall, the measurement invariance of the one-factor PHQ-9 was empirically supported across sociodemographic and medical-condition groups. The PHQ-9 can be reliably used to compare the severity of depressive symptoms across these groups in research and practice.

[Internal Structure of the Health-Related Quality of Life Instrument with 8-Items in a Nationally Representative Population].

PURPOSE: This study evaluated the internal structure (structural validity, internal consistency, and measurement invariance) of the Health-Related Quality of Life Instrument with Eight Items (HINT-8), developed to measure Korean people's health-related quality of life. METHODS: A secondary analysis was conducted using data from the Korea National Health and Nutrition Examination Survey, involving 6,167 adults aged over 18 years. The structural validity of the HINT-8 was assessed using exploratory graph analysis and confirmatory factor analysis. Internal consistency and measurement invariance were analyzed using McDonald's omega (ω) and multigroup confirmatory factor analysis, respectively. RESULTS: The HINT-8 had a single dimension and good internal consistency (ω = .804). The one-dimension HINT-8 exhibited matric invariance but not scalar invariance across sociodemographic groups (sex, age, education, and marital status). Further, it exhibited scalar or partial scalar invariance across medical condition groups (hypertension, diabetes, depressive symptoms, and cancer). CONCLUSION: The study finds that the HINT-8 demonstrated satisfactory structural validity and internal consistency, indicating its suitability for practice and research. However, the HINT-8 scores cannot be compared across different groups regarding sex, age, education, and marital status, as the interpretation varies within each sociodemographic category. Conversely, interpretation of the HINT-8 is consistent for individuals with and without hypertension, diabetes, depressive symptom, and cancer.

Primary Ovarian Neuroendocrine Carcinoid Tumor Arising in a Mature Cystic Teratoma.

Primary ovarian neuroendocrine carcinoid tumors are extremely rare. However, their clinical course is good, and hence, fertility-sparing surgery is a feasible treatment option in cases of unilateral localized lesions. In this report, we present the case of a 20-year-old nulliparous woman who was diagnosed as having a primary ovarian neuroendocrine carcinoid tumor arising from a mature cystic teratoma. She underwent laparoscopic right ovarian cystectomy, and her postoperative recovery was uneventful. The patient has been under close observation over a 1-year follow-up period and has shown no evidence of tumor recurrence.

Relationship between Type D personality and adverse health outcomes in people with type 2 diabetes: The parallel mediating roles of diabetes distress and social isolation.

AIM: To investigate the relationship between Type D personality and adverse health outcomes [glycated haemoglobin (HbA1c) and health-related quality of life (HRQOL)] directly, and indirectly via diabetes distress and social isolation in people with type 2 diabetes. DESIGN: A secondary analysis of 524 participant's data derived from a cross-sectional, correlational study with people with type 2 diabetes. METHODS: Data were analysed using the PROCESS macro of SPSS. RESULTS: Type D personality was present in 31.3% of the participants, and exerted a direct effect on HRQOL but not on HbA1c. Type D personality indirectly affected both HbA1c and HRQOL via the mediators of diabetes distress and social isolation. Nurses need to monitor people with type 2 diabetes to determine whether Type D personality is present. Those with Type D personality should be provided with interventions to reduce diabetes distress and alleviate social isolation in order to improve HbA1c and HRQOL.

Development and psychometric evaluation of a new brief scale to measure eHealth literacy in people with type 2 diabetes.

BACKGROUND: The internet has become a major source of health information, and obtaining appropriate information requires various abilities and skills, labeled as electronic health literacy (eHealth literacy). The existing instruments for measuring eHealth literacy are outdated because they were developed during the Web 1.0 era, or not sufficiently sensitive for people with a specific condition or disease because they were designed to assess eHealth literacy over a broad range for a general population. Approximately one in ten adults worldwide live with diabetes. Health professionals have a responsibility to identify patients with low eHealth literacy to prevent them from obtaining misleading internet diabetes information. AIMS: The aims were to develop a condition-specific eHealth literacy scale for diabetes and to evaluate its psychometric properties among people with type 2 diabetes. METHODS: An instrument development design was used. This study recruited 453 people diagnosed with type 2 diabetes at the outpatient clinics of hospitals in 2021. Psychometric properties (internal consistency, measurement invariance, and content, structural, convergent, and known-groups validities) were analyzed. RESULTS: An expert panel assessed content validity. Exploratory factor analysis, exploratory graph analysis, and confirmatory factor analysis (CFA) for structural validity yielded a two-factor solution (CFI = 0.977, SRMR = 0.029, RMSEA = 0.077). Cronbach's alpha and omega values were excellent for each factor (0.87-0.94). Multigroup CFA yielded configural and metric measurement invariance across the gender, age, and glycemic control status groups. Convergent validity with a comparator instrument to measure health literacy was supported by a moderate correlation, and known-groups validity determined using groups with different internet-use frequencies was satisfied with a high effect size. CONCLUSION: A new condition-specific eHealth literacy scale for people with type 2 diabetes was developed, comprising 10 items. The scale exhibited good psychometric properties; however, test-retest reliability must be determined for the stability of the scale and cross-cultural validity is required among different languages. The brief scale has the merits of being feasible to use in busy clinical practice and being less burdensome to respondents. The scale can be applied in clinical trials of internet-based diabetes interventions for assessing the eHealth literacy of respondents.

Development and effects of a post-traumatic growth program for patients with breast cancer.

PURPOSE: This study aimed to develop a post-traumatic growth (PTG) program, based on the PTG promotion resources suggested by Cahlhoun, Cann, and Tedeschi, and to apply it to breast cancer patients to determine its effect. METHODS: A non-equivalent control group pretest-posttest experimental design was used. In total, 74 participants were enrolled in this study, with 37 in the experimental group and 37 in the control group. The PTG program developed in this study consisted of writing and self-reflection for self-analysis, talking and sharing for self-disclosure, and participation in a self-help group for social support. The instruments used for this study were the Korean version of the Event Related Rumination Inventory, the Korean version of the Hospital Anxiety and Depression Scale, and the Korean version of the Post-traumatic Growth Inventory. The data were analyzed with the χ2test, t-test, Fisher's exact test and all analysis were conducted based on an intention-to-treat principle. RESULTS: The experimental group that underwent a PTG program had a lower emotional distress score than the control group (anxiety: t = -3.84, p = .001; depression: t = -3.22, p = .002). The experimental group had a lower intrusive rumination (t = -3.55, p = .001) and had higher deliberate rumination score than the control group (t = 2.10, p = .039). The experimental group had a higher PTG score than the control group (t = 2.34, p = .022). CONCLUSIONS: The PTG program developed in this study for breast cancer patients has the potential to contribute to the promotion of PTG in breast cancer patients.

Psychometric properties of the revised Diabetes Knowledge Test using Rasch analysis.

OBJECTIVE: The revised Diabetes Knowledge Test (DKT2) is the instrument that is the most widely used for measuring diabetes knowledge; nevertheless, its structural validity has never been evaluated. This study aimed to determine the psychometric properties of the DKT2. METHODS: This study performed a secondary data analysis of people with diabetes recruited at university hospitals. Rasch analysis was used. RESULTS: One item in the 14-item DKT2 measuring general diabetes knowledge exhibited a poor-fit, and so it was eliminated. The person-item map showed that items of greater difficulty need to be added to the instrument. The principal-components analysis of residuals revealed a unidimensional structure. The person reliability was 0.50, with a person separation index of 1.01. Measurement invariance was not satisfied for items 11 and 2 according to gender and age. CONCLUSIONS: The unidimensional structure of the 13-item DKT2 demonstrated poor person reliability and a low person separation index. Females and elderly persons found it more difficult to respond to items 11 and 2, respectively. PRACTICE IMPLICATIONS: Careful consideration is necessary when using the 13-item DKT2 in practice and research. It is recommended for future studies to add items of greater difficulty to the instrument.

Huge Ovarian Tumor: An Unusual Presentation of Gastric-Type Endocervical Adenocarcinoma.

Gastric endocervical adenocarcinoma is a rare type of cervical cancer. It was recently classified as a subtype of cervical cancer that exhibits an aggressive behavior with poor prognosis compared to other cancer types. Nevertheless, little is known about the clinical behavior of this cervical cancer subtype to establish a definitive treatment protocol. Herein, we report a case of poorly advanced gastric endocervical adenocarcinoma in a 47-year-old Korean woman who was suspected to have a borderline ovarian tumor and underwent a laparotomy. A gastric-type endocervical adenocarcinoma was diagnosed incidentally on histopathological examination.

Pathways Linking Health Literacy to Self-Management in People with Type 2 Diabetes.

Health literacy is considered to be an emerging determinant of health behaviors and outcomes. The underlying mechanisms linking health literacy to diabetes self-management are currently unclear. This study assessed a mediation model consisting of a direct pathway between health literacy and self-management, and indirect pathways via social isolation only, self-efficacy only, and social isolation and self-efficacy serially in people with type 2 diabetes. A cross-sectional design was employed, and a total of 524 participants were recruited from outpatient clinics of multi-institutions from June 2020 to February 2021. The mediation model was analyzed using the PROCESS macro on SPSS with bootstrap bias-corrected 95% confidence intervals (CIs) with 10,000 bootstrapping iterations. Health literacy positively affected self-management. The estimated indirect effect of health literacy on self-management via social isolation was significant, at 0.018 (95% CI = 0.004-0.036). The indirect effect via self-efficacy was estimated at 0.214 (95% CI = 0.165-0.266). The indirect effect via social isolation and self-efficacy serially was 0.013 (95% CI = 0.006-0.023). The findings of this study suggest that clinical practice can be improved through more comprehensive diabetes self-management interventions that promote all of the components of health literacy, social contacts/networks, and self-efficacy in particular.

eHealth Literacy Instruments: Systematic Review of Measurement Properties.

BACKGROUND: The internet is now a major source of health information. With the growth of internet users, eHealth literacy has emerged as a new concept for digital health care. Therefore, health professionals need to consider the eHealth literacy of consumers when providing care utilizing digital health technologies. OBJECTIVE: This study aimed to identify currently available eHealth literacy instruments and evaluate their measurement properties to provide robust evidence to researchers and clinicians who are selecting an eHealth literacy instrument. METHODS: We conducted a systematic review and meta-analysis of self-reported eHealth literacy instruments by applying the updated COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) methodology. RESULTS: This study included 7 instruments from 41 articles describing 57 psychometric studies, as identified in 4 databases (PubMed, CINAHL, Embase, and PsycInfo). No eHealth literacy instrument provided evidence for all measurement properties. The eHealth literacy scale (eHEALS) was originally developed with a single-factor structure under the definition of eHealth literacy before the rise of social media and the mobile web. That instrument was evaluated in 18 different languages and 26 countries, involving diverse populations. However, various other factor structures were exhibited: 7 types of two-factor structures, 3 types of three-factor structures, and 1 bifactor structure. The transactional eHealth literacy instrument (TeHLI) was developed to reflect the broader concept of eHealth literacy and was demonstrated to have a sufficient low-quality and very low-quality evidence for content validity (relevance, comprehensiveness, and comprehensibility) and sufficient high-quality evidence for structural validity and internal consistency; however, that instrument has rarely been evaluated. CONCLUSIONS: The eHealth literacy scale was the most frequently investigated instrument. However, it is strongly recommended that the instrument's content be updated to reflect recent advancements in digital health technologies. In addition, the transactional eHealth literacy instrument needs improvements in content validity and further psychometric studies to increase the credibility of its synthesized evidence.

[Psychometric property of an instrument 4: reliability and responsiveness]. / ì¸¡ì •ë„êµ¬ì˜ ì‹¬ë¦¬ê³„ëŸ‰ì  속성 4: ì‹ ë¢°ë„ì™€ 반응도.

For test-retest reliability, it is important to consider whether the attributes of the construct being measured is temporally stable or not. For responsiveness, it needs a longitudinal study design including a treatment/intervention known to induce a change on the construct to be measured.

[Psychometric properties of an instrument 3: convergent, discriminant, known-groups, and criterion validity]. / ì¸¡ì •ë„êµ¬ì˜ ì‹¬ë¦¬ê³„ëŸ‰ì  속성 3: ìˆ˜ë ´, 판별, 집합 및 준거타당도.

Before evaluating convergent, discriminant, and known-groups validity, it is suggested to design an instrument that reflects hypothetical relationships or differences with other comparator instruments or groups. For criterion validity, a gold-standard instrument measuring the same construct should be carefully selected.

[Psychometric properties of an instrument 2: structural validity, internal consistency, and cross-cultural validity/measurement invariance]. / ì¸¡ì •ë„êµ¬ì˜ ì‹¬ë¦¬ê³„ëŸ‰ì  속성 2: 구조타당도, ë‚´ì ì¼ê´€ì„± 및 교차문화타당도/ì¸¡ì •ë™ì¼ì„±.

Structural validity, internal consistency, and cross-cultural validity/measurement invariance are psychometric properties of the internal structure of an instrument. In psychometric studies published in Korean nursing journals, structural validity has mainly been assessed using confirmatory factor analysis. Cross-cultural validity/measurement invariance has rarely been evaluated. It is recommended for Korean nursing researchers to evaluate the internal structure of instruments using a greater variety of methods, such as item response theory, Rasch analysis, multi-group confirmatory factor analysis, and differential item functioning.

Evaluation of Studies on the Measurement Properties of Self-Reported Instruments.

PURPOSE: The purpose of this study was to evaluate studies on the measurement properties of self-reported instruments. METHOD: This descriptive review included studies on measurement properties that were reported in Asian Nursing Research over a five-year period from 2016 to September 2020. Nine key measurement properties were reviewed for each study: content validity, structural validity, internal consistency, cross-cultural validity/measurement invariance, reliability, measurement error, criterion validity, hypotheses-testing construct validity, and responsiveness. RESULTS: The most commonly applied measurement properties were structural validity and internal consistency. However, structural validity using confirmatory factor analysis or item response theory/Rasch analysis needs to be rigorously analyzed and interpreted. None of the studies assessed measurement error and responsiveness. CONCLUSION: It is recommended for nursing researchers to assess measurement properties beyond structural validity and internal consistency using more rigorous methodologies.

A New Self-management Scale with a Hierarchical Structure for Patients with Type 2 Diabetes.

PURPOSE: The aims of this study were to develop a new instrument for measuring self-management with a hierarchical structure [the Diabetes Self-Management Scale (DSMS)] in patients with type 2 diabetes, and evaluate its psychometric properties. METHOD: The DSMS instrument was developed in three phases: (1) conceptualization and item generation; (2) content validity and pilot testing; and (3) field testing of its psychometric properties. A convenience sample of 473 participants was recruited in three university hospitals and one regional health center, South Korea. RESULTS: Exploratory and confirmatory factor analyses yielded two second-order component models explaining the common variance among six first-order factors. Principal axis factoring with a varimax rotation accounted for 60.88% of the variance. Confirmatory factor analysis of the hierarchical structure revealed the following fit indices: χ2/df = 1.373, standardized root-mean-square residual = .050, goodness-of-fit index = .935, incremental fit index = .975, comparative fit index = .974, and root-mean-square error of approximation = .039. All Cronbach' α values for internal consistency exceeded the criterion of .70. All of the intraclass correlation coefficients for test-retest reliability exceeded .70 except that for the taking-medication subscale. The components of the DSMS were moderately correlated with the comparator measures of self-efficacy and health literacy administered for convergent validity. CONCLUSION: The DSMS is a new instrument for measuring the complex nature of self-management in patients with type 2 diabetes, comprising 17 items scored on a five-point Likert scale. The DSMS exhibits satisfactory psychometric properties for five reliability and validity metrics, and so is a suitable instrument to apply in both research and clinical practices.

Effect of gynecological cancer and its treatment on bone mineral density and the risk of osteoporosis and osteoporotic fracture.

OBJECTIVE: The purpose of this study was to evaluate the risk of osteopenia and osteoporosis by examining the bone mineral density (BMD) of the lumbar spine and femur in patients with gynecological cancer without bone metastasis and to evaluate the impact of treatment for different cancers on BMD. METHODS: This study retrospectively reviewed the medical records of 243 women with gynecological cancer and 240 controls between March 2010 and December 2016. Patients with cervical cancer (n=105), endometrial cancer (n=63), and ovarian cancer (n=75) were treated with total hysterectomy including bilateral salpingo-oophorectomy and/or chemotherapy and/or radiotherapy. For the control group, healthy post-menopausal women without gynecologic cancer were selected. RESULTS: Before anticancer treatment, the BMD of patients with cervical cancer and ovarian cancer was significantly lower than that of the controls, and the BMD of patients with endometrial cancer was not significantly different from that of the controls. However, the BMD of endometrial cancer significantly decreased after treatment. According to the treatment methods, there were significant differences in the BMD of L3, L4, and the femur neck. Changes in the BMD were lowest in patients who underwent surgical treatment only, and the highest bone loss was found in patients who underwent postoperative concurrent chemoradiotherapy. CONCLUSION: Patients with cervical and ovarian cancer had lower BMD than those in the control group before treatment, and patients with endometrial cancer had decreased bone density after treatment. Therefore, during the treatment of gynecological cancer, strategies should be implemented to mitigate these risks.

Self-efficacy instruments for type 2 diabetes self-care: A systematic review of measurement properties.

AIMS: To identify currently available self-efficacy instruments for type 2 diabetes self-care and to evaluate the evidence for their measurement properties. DESIGN: Systematic review of measurement properties. DATA SOURCES: The PubMed, Embase and CINAHL databases were searched from their inception to 27 May 2019. REVIEW METHODS: The updated COnsensus-based Standards for the selection of health Measurement INstruments methodology were applied. RESULTS: Twelve instruments were identified from 3,665 records. Eight instruments were related to self-efficacy in performing a comprehensive set of the tasks/behaviours for diabetes self-care and the other four addressed specific behaviours related to diabetes self-care, such as insulin management. Most of the 12 instruments were developed based on Bandura's self-efficacy theory as their theoretical background. Overall, sufficient high-quality evidence for measurement properties was seldom identified. The Diabetes Management Self-Efficacy Scale is currently the best instrument, with particularly the 4-factor, 16-item version being demonstrated to have sufficient high-quality evidence for structural and internal consistency and sufficient moderate-quality evidence for reliability and convergent validity. CONCLUSIONS: None of the instruments evaluated all of the relevant measurement properties. The Diabetes Management Self-Efficacy Scale is currently the most suitable instrument for potential use in practice and research. The measurement invariance across languages, measurement error and responsiveness of this instrument still need be evaluated. IMPACT: This systematic review provides clinicians and researchers with a comprehensive list of available instruments for measuring self-efficacy in diabetes self-care, as well as evidence for helping them to select the most appropriate instrument. Using a psychometrically sound instrument will accurately inform practitioners about the levels of self-efficacy in self-care among patients with type 2 diabetes in practice and avoid threatening the credibility of research studies on self-efficacy in diabetes self-care.