Asian Nursing Research最新文献

Purpose: A key challenge in quality improvement is ensuring resident safety, especially in nursing homes. However, few studies have comprehensively examined safety nursing activities and explored the possible contributing factors, such as organizational or individual factors, within this context. This study analyzes safety nursing activities in nursing homes and explores the relationship between organizational and individual factors regarding these activities.

Methods: In total, 38 nursing homes and 151 individual registered nurses were surveyed. Data were analyzed using multilevel regression analysis.

Results: Registered nurse-related factors, teamwork, organizational nursing home-related factors, and the ratio of registered nurses to residents were significant factors associated with safety nursing activities.

Conclusions: To increase registered nurses' safety nursing activities, it is necessary to assess how well the team functions in nursing homes and develop interventions to improve team efficiency, including increasing the number of registered nurses to ensure sufficient time for safety nursing activities.

Purpose: Drug use during adolescence can have lasting health consequences, and understanding the factors that contribute to drug use is essential for effective prevention. This study aimed to identify the factors influencing habitual drug use among South Korean adolescents. It employed Bronfenbrenner's ecological model to examine personal, familial, school-related, and social factors.

Methods: The study analyzed data from the 19th Korea Youth Risk Behavior Survey for 41,928 students from 1st grade of middle school to 3rd grade of high school. Data analysis involved cross-tabulation and logistic regression for complex samples.

Results: The prevalence of habitual drug use was 1.4%. Significant personal factors included smoking (adjusted odds ratio [aOR] = 2.61), alcohol consumption (aOR = 1.55), sexual intercourse (aOR = 1.45), smartphone overdependence (aOR = 2.04), suicidal ideation (aOR = 2.66), depressed mood (aOR = 1.87), and loneliness (aOR = 1.88). Significant family factors included non-cohabitation with family (aOR = 1.86) and both parents being foreign-born (aOR = 3.36). Experience of violence (aOR = 2.95) was also a significant factor.

Conclusion: This study highlights the need for an integrated approach to prevent adolescent drug use by addressing adolescents' personal behaviors, family dynamics, and school environments. Prevention programs should account for the influence of multiple systems on habitual drug use. School and community nurses should adopt a comprehensive, multi-dimensional strategy that involves families, schools, and communities to prevent adolescent drug use. Additionally, there is a need to develop family-centered and culturally sensitive drug prevention programs for adolescents.

Purpose: Although digital solutions could mitigate the challenges faced by older adults living alone (OALA), only a few studies investigated the need for and acceptance of digital health interventions for self-management (DHISMs) among this demographic. Thus, we aim to explore this need and acceptance, along with the contextual factors, among OALA.

Methods: A mixed-methods research approach was adopted. We conducted 1) a quantitative survey (n=191) to investigate the need for and acceptance of DHISMs using a numeric rating scale and 2) a qualitative study (n=24) based on focus group interviews to explore contextual factors related to the quantitative results. Qualitative data were analyzed using thematic analysis.

Results: In the quantitative study, the mean scores for the need for and acceptance of DHISMs were 6.41 and 6.53 out of 10, respectively. Emergency response systems had the highest need and acceptance scores, whereas digital interventions for behavioral change (medication adherence, sleep, stress, and diet management) had relatively lower scores. The qualitative analysis revealed two themes and five subthemes: the need for inclusive support for independent living (environmental safety and diverse self-management challenges with limited support) and multidimensional factors related to DHISM acceptance (personal, technological, and relational barriers and facilitators).

Conclusions: In the future, the unique and multidimensional factors influencing the need for and acceptance of DHISMs among OALA should be carefully considered to support their self-management and independent living. Blended care, which involves integrating age-friendly technology with personalized human interaction, is pivotal for increasing DHISM acceptance in this population.

Purpose: To develop a questionnaire to measure nurses' perceived knowledge, attitudes, and practices related to motor function rehabilitation in stroke patients with hemiplegia (MFRSPH-PKAP-Q), and to evaluate its reliability and validity.

Methods: This study was conducted in four phases: (1) creating a pool of potential items; (2) developing the preliminary scale using a Delphi survey; (3) conducting item reduction to refine the scale; and (4) testing the validity and reliability of the final scale.

Results: The questionnaire comprises 45 items. Exploratory factor analysis (EFA) revealed a three-factor model, explaining 55.79% of the variance, which encompassed perceived knowledge, attitudes, and practice. Confirmatory factor analysis (CFA) affirmed the suitability of this three-factor model for the data. Additionally, assessments of content validity, convergent validity, and discriminant validity all yielded favorable results. The Cronbach's α coefficient, split-half reliability, and test-retest reliability of the entire questionnaire were .944, .911, and .921, respectively.

Conclusions: The MFRSPH-PKAP-Q has been demonstrated to be both valid and reliable, and is therefore recommended for use in clinical practice.

Purpose: Job satisfaction among blood center nurses is suboptimal due to challenging working conditions, characterized by unexpected tasks resulting from sudden schedule changes and frequent weekend shifts. This study aimed to quantitatively examine the relationships between job stress, psychological capital, person-job fit, job crafting, and job satisfaction, based on the job crafting model. Additionally, qualitative data were collected through mixed methods to gain a better understanding of the experiences related to job satisfaction among blood center nurses.

Methods: A convergent mixed-methods research design was employed to simultaneously collect quantitative and qualitative data and to integrate the findings from both analyses. A total of 127 full-time nurses who had completed at least a three-month probationary period at blood centers participated in the study. Participants were recruited from three blood centers operated by the Korean Red Cross in three metropolitan cities. The survey included open-ended qualitative questions and five quantitative measures covering job satisfaction, job stress, psychological capital, person-job fit, and job crafting. The data collection occurred from September to October 2022.

Results: Regression analysis identified key factors influencing job satisfaction as person-job fit, job stress, psychological capital, and marital status, explaining 80.0% of the variance. Qualitative analysis of the open-ended responses showed five main themes: "deriving fulfillment from work," "challenges encountered at work," "driving forces behind positive outcomes," "congruence between individual's traits and job requirements," and "efforts to perform a meaningful work."

Conclusions: The findings suggest the need for developing an Employee Assistance Program and educational initiatives aimed at enhancing job satisfaction among blood center nurses. These should focus on improving person-job fit, managing stress, aiding with emotional labor, and bolstering psychological capital.

Purpose: This review aimed to evaluate the internal structure (structural validity, internal consistency, and measurement invariance) of the Patient Health Questionnire-9 (PHQ-9), which is one of the most widely used self-administered instruments for assessing and screening depression.

Methods: The updated COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) methodology for a systematic review of self-reported instruments was used. PubMed, Embase, CINAHL, PsycINFO, and Cochrane Library databases were searched from their inception up to February 28, 2023.

Results: This study reviewed 98 psychometric studies reported on in 90 reports conducted in 40 countries. Various versions of the PHQ-9 were identified: one-factor structures (8 types), two-factor structures (10 types), bifactor structures (4 types), three-factor structure (1 type), and second-order three-factor structure (1 type). There was sufficient high-quality evidence for structural validity of the one-factor structure with nine items scored using a four-point Likert scale based on confirmatory factor analysis, for internal consistency with a quantitatively pooled Cronbach's alpha of .85, and for measurement invariance across sex, age, education level, marital status, and income groups. There was sufficient high-quality evidence for structural validity, internal consistency (Cronbach's alpha = .76 - .92, = .83 - .92), and measurement invariance across sex for the PHQ-8 (which excluded item 9: "suicidality or self-harm thoughts").

Conclusions: The one-factor PHQ-9 and PHQ-8 (excluding item 9) scored using a four-point Likert scale have the best internal structure based on the current evidence. The one-factor PHQ-9 and PHQ-8 justify the use of aggregated total scores in both practice and research. The total score of the PHQ-9 using a four-point Likert scale can be used to compare depression levels across sex, age, education level, marital status, and income groups due to the availability of sufficient evidence for measurement invariance across these demographic groups.

Purpose: This study aims to explore the relationships between gestational diabetes mellitus (GDM) related breastfeeding knowledge, GDM-related breastfeeding health beliefs, and breastfeeding intention. It investigates the factors influencing breastfeeding intention among pregnant women in Nepal.

Methods: A total of 229 healthy pregnant women visiting an antenatal clinic in Nepal participated in this study between January and March, 2023. They completed a questionnaire that assessed their GDM-related breastfeeding knowledge, GDM-related breastfeeding health beliefs, and breastfeeding intention. The data were analyzed using descriptive statistics, an independent t-test, one-way ANOVA including Scheffé's post-hoc test, and logistic regression analysis.

Results: Of the participants, 86.9% (n=199) indicated positive breastfeeding intention, even with a relatively low level of GDM-related breastfeeding knowledge. Logistic regression analysis of the factors influencing breastfeeding intention yielded a significant model (χ²=38.80, p<.001) with significant variables; GDM-related breastfeeding knowledge (OR: 1.0, 95% CI: 1.02-1.40), GDM-related breastfeeding health beliefs (OR: 1.09, 95% CI: 1.04-1.15), and immediate family experience with diabetes mellitus (OR: 5.38, 95% CI: 1.98-14.62).

Conclusion: Nurses should lead interventions to educate pregnant women about the benefits of breastfeeding that can help in mitigating the long-term effects of GDM and reinforce health beliefs through positive experiences. This study provides information demonstrating the need for nurse-led improvements in Nepal's GDM management system, from screening to comprehensive care.

Purpose: This study explores the relationship between nurses' active involvement in healthcare policy development and their intention to stay in their current roles. It aims to assess how this involvement in healthcare policy activities influences their intention to stay in their current.

Methods: Employing a cross-sectional design, the study surveyed nurses across five major publicly funded teaching hospitals in Oman using an online self-administered questionnaire titled the "Involvement in Health Policy Scale." Analytical methods included descriptive statistics, bivariate correlation analysis, and multiple regression analysis to identify predictors of nurses' intention to stay.

Results: Of the 1200 distributed surveys, 1017 responses were usable (85% response rate). The sample was predominantly female (87.9%), with an average age of 35 years. Nurses reported a moderate intention to stay (mean ITS = 3.13, SD = .80). Regression analysis indicated that increased involvement in health policy was a significant positive predictor of intention to stay (β = 0.09, p < .007). More experienced nurses (β = .078, p < .044) and non-Omani nationality (β = 0.213, p < .001) were also positive predictors. Conversely, being single and facing numerous barriers were negative predictors of intention to stay (β = -0.071, p < .008; β = -0.165, p < .001).

Conclusion: The study underscores the positive impact of nurses' involvement in healthcare policy on their intention to stay in their roles. It highlights the necessity for healthcare organizations to foster environments that enhance nurse engagement in policy-making, thereby potentially improving retention rates and sustaining their workforce.

Purpose: The Supportive Care Needs Survey-Short Form 34 (SCNS-SF34) measures the perceived care needs of patients with cancer. This study aimed to evaluate the reliability and validity of the Korean version of the SCNS-SF34 (i.e., the SCNS-SF34-K).

Methods: The SCNS-SF34 was translated into Korean following a World Health Organization translation guideline. We recruited 208 patients with cancer via an online survey in 2022. The data were analyzed using SPSS 27.0 and Amos 23.0, and the construct validity, known-group validity, and internal consistency were tested.

Results: The SCNS-SF34-K validated the final five-factor model via confirmatory factor analysis. The SCNS-SF34-K's subscales demonstrated discriminant and convergent validity. In addition, known-group validity was confirmed using the Eastern Cooperative Oncology Group Performance Status Scale (t = - 7.12), Patient Health Questionnaire-9 (t = - 7.61), and Distress Thermometer (t = - 9.22). McDonald's Omega coefficient for the total scale was .96, and each sub-domain ranged from .88 to .95.

Conclusion: This research provides initial findings on the validity and reliability of the SCNS-SF34-K, a tool for measuring the supportive care needs of Korean cancer patients. The SCNS-SF34-K demonstrates potential for evaluating various aspects of patient needs and may be valuable for both clinical oncology practice and research in Korea.

Purpose: This study aims to identify factors predicting mortality, including nutritional status, in AHF patients admitted to the cardiac intensive care unit and to explore the implications of accurate early nutritional assessment.

Methods: This retrospective cohort study performed a secondary analysis of data from 357 patients admitted to a tertiary hospital in Seoul, Korea, from 2019 to 2022. The target patients were classified into high-risk and low-risk groups through the Nurses' Nutritional Assessment (NNA) using three questions, and into normal, mild, moderate, and severe risk groups using the Nutritional Risk Index (NRI) including serum albumin. Kaplan-Meier survival and Cox proportional hazards regression analyses were performed.

Results: The patients' average age was 65.6 ± 14.9 years and 68.1% were male. During the study period, 19.6% (n=70) of the patients died. Mortality differed significantly according to the groups of NNA and NRI (log-rank, p < .001). However, no correlation was found between the NNA and NRI results (χ²=3.24, p = .362). High-risk group by NNA (HR 3.32, 95% CI 1.86-5.95, p < .001), severe risk group by NRI (HR 2.56, 95% CI 1.07-6.13, p = .035), presence of diabetes (HR 1.89, 95% CI 1.07-3.36, p = .030), and low mean arterial pressure (HR 0.97, 95% CI 0.96 - 0.99, p = .004) were significant predictors.

Conclusion: Poor nutritional status, along with the presence of diabetes and lower mean arterial pressure, predicted mortality in patients with AHF admitted to the cardiac intensive care unit. Nurses need to integrate objective data, such as serum albumin, into the initial nutritional assessment of patients admitted to the intensive care unit, and provide continuous attention and monitoring for patients with poor nutrition.