Nattaya Praha

Background: The United Nations Sustainable Development Goals (SDGs) offer a comprehensive global framework for promoting health, equity, and sustainability. Whereas alignment with the SDGs is increasingly encouraged in academic institutions, the extent to which faculty expertise in SDGs influences traditional research impact metrics remains insufficiently explored. Objective: To investigate the relationship between nursing faculty expertise in SDGs and research impact metrics. Methods: A retrospective cross‐sectional design was employed using data from 121 nursing faculty members at Mahidol University, Thailand. Information on SDG‐related expertise and research performance was obtained from the Mahidol University Research Excellence Database (MUREX) and Scopus. SDG expertise was operationalized using SDG alignment data derived from the Scopus Author Profile, which applies machine learning and keyword‐based text mining to map publications to the 17 SDGs. Descriptive statistics, Pearson’s correlation, and multiple linear regression analyses were used to examine associations between SDG expertise, academic experience, and research impact metrics, including H‐index, citation count, and research output. Extreme Gradient Boosting (XGBoost) was applied as a complementary machine learning approach to identify influential features and potential nonlinear patterns, with the Synthetic Minority Oversampling Technique (SMOTE) used to address imbalance in categorical SDG expertise classes. Results: Faculty members with greater expertise in SDGs demonstrated significantly higher research impact metrics. SDG expertise significantly predicted H‐index ( β = 0.65, p < 0.001), total citations ( β = 31.78, p = 0.004), and total research output ( β = 2.41, p < 0.001). Research experience was also a significant predictor of research impact. Machine learning analyses identified SDG expertise breadth and international collaboration as influential features, and faculty aligned with SDG13 (Climate Action) demonstrated a higher proportion of top‐cited publications. Conclusion: SDG expertise is a key determinant of academic impact, reinforcing the need for greater institutional support for SDG‐aligned research. Interdisciplinary collaboration and engagement with broader sustainability challenges may enhance faculty research visibility. Future research should explore longitudinal trends and policy implications for integrating SDGs into faculty assessment frameworks.

Aim: To evaluate and synthesize evidence on the impact of self-management interventions in improving behavioral and clinical outcomes among individuals with systemic lupus erythematosus (SLE). Methods: A comprehensive search was conducted across eight electronic databases—CINAHL Plus with Full Text, ProQuest, PubMed, Medline with Full Text, SAGE, ScienceDirect, Scopus, and Web of Science—to identify studies published from inception to 2024. Randomized controlled trials and quasi-experimental studies assessing self-management interventions in individuals with SLE were included. Methodological quality was evaluated using the Joanna Briggs Institute critical appraisal tools. Data synthesis followed a convergent integrated analysis framework to identify recurring themes and subthemes. Results: A total of 15 studies met the inclusion criteria, consisting of 10 randomized controlled trials (66.67%) and 5 quasi-experimental studies (33.33%). The interventions targeted physical, mental, and behavioral health through various strategies. The most common interventions included counseling and education (7 studies, 22.58%), followed by physical activity programs (2 studies, 6.45%), and self-management sessions (2 studies, 6.45%). Other interventions, such as cognitive-behavioral therapy, strengthening exercises, and digital health tools, were also implemented. In-person interventions (46.67%) were the most common delivery format, followed by digital platforms (26.67%). Self-management interventions led to significant improvements in physical health (eg, reduced fatigue and improved functional capacity), mental health (eg, reduced anxiety and depression), and health behaviors (eg, enhanced adherence to treatment and self-care practices). Furthermore, the interventions contributed to an improved quality of life by addressing the physical, psychological, and social challenges faced by individuals with SLE. Conclusion: Self-management interventions positively impact behavioral and clinical outcomes in individuals with SLE. Future research should explore long-term sustainability, integration of digital health strategies, and personalized approaches. Expanding access to self-management programs, particularly in low-resource settings, may further enhance outcomes for individuals with SLE.

Background: Several studies have demonstrated the efficacy and user acceptance of telehealth in managing patients with chronic conditions, including continuous ambulatory peritoneal dialysis (CAPD). However, the rates of telehealth service use in various patient groups have been low and have declined over time, which may affect important health outcomes. Telehealth service use in patients undergoing CAPD has been recognized as a key challenge that needs to be examined further.Objective: This study aimed to explore the rates of telehealth service use over 4 months, identify factors influencing its use, and examine the relationship between telehealth service use and health outcomes in Thai people undergoing CAPD.Methods: This cross-sectional study, which was a part of a pragmatic randomized controlled trial study, was conducted at a dialysis center in Bangkok, Thailand. The study included patients who were undergoing CAPD. These patients were randomly enrolled in the intervention group to receive telehealth service and additional standard care for 4 months. Data were collected using self-reported questionnaires, including a demographic form, Functional, Communicative, and Critical Health Literacy Scale, Perceived Usefulness Questionnaire, Brief Illness Perception Questionnaire, Patient-Doctor Relationship Questionnaire, and Kidney Disease Quality of Life 36 Questionnaire. Additionally, Google Analytics was used to obtain data on the actual use of the telehealth service. These data were analyzed using descriptive statistics, repeated-measures ANOVA, and regression analyses.Results: A total of 159 patients were included in this study. The mean rate of telehealth service use throughout the period of 4 months was 62.06 (SD 49.71) times. The rate of telehealth service use was the highest in the first month (mean 23.48, SD 16.28 times) and the lowest in the third month (mean 11.09, SD 11.48 times). Independent variables explained 27.6% of the sample variances in telehealth service use. Older age (β=.221; P=.002), higher perceived usefulness (β=.414; P<.001), unemployment (β=−.155; P=.03), and positive illness perception (β=−.205; P=.004) were associated with a significantly higher rate of telehealth service use. Regarding the relationship between telehealth service use and health outcomes, higher rates of telehealth service use were linked to better quality of life (β=.241; P=.002) and lower peritonitis (odds ratio 0.980, 95% CI 0.962-0.997; P=.03).Conclusions: This study provides valuable insights into factors impacting telehealth service use, which in turn affect health outcomes in patients undergoing CAPD.

BACKGROUND Several studies have demonstrated the efficacy and user acceptance of telehealth in managing patients with chronic conditions, including continuous ambulatory peritoneal dialysis (CAPD). However, the rates of telehealth service use in various patient groups have been low and have declined over time, which may affect important health outcomes. Telehealth service use in patients undergoing CAPD has been recognized as a key challenge that needs to be examined further. OBJECTIVE This study aimed to explore the rates of telehealth service use over 4 months, identify factors influencing its use, and examine the relationship between telehealth service use and health outcomes in Thai people undergoing CAPD. METHODS This cross-sectional study, which was a part of a pragmatic randomized controlled trial study, was conducted at a dialysis center in Bangkok, Thailand. The study included patients who were undergoing CAPD. These patients were randomly enrolled in the intervention group to receive telehealth service and additional standard care for 4 months. Data were collected using self-reported questionnaires, including a demographic form, Functional, Communicative, and Critical Health Literacy Scale, Perceived Usefulness Questionnaire, Brief Illness Perception Questionnaire, Patient-Doctor Relationship Questionnaire, and Kidney Disease Quality of Life 36 Questionnaire. Additionally, Google Analytics was used to obtain data on the actual use of the telehealth service. These data were analyzed using descriptive statistics, repeated-measures ANOVA, and regression analyses. RESULTS A total of 159 patients were included in this study. The mean rate of telehealth service use throughout the period of 4 months was 62.06 (SD 49.71) times. The rate of telehealth service use was the highest in the first month (mean 23.48, SD 16.28 times) and the lowest in the third month (mean 11.09, SD 11.48 times). Independent variables explained 27.6% of the sample variances in telehealth service use. Older age (β=.221; P=.002), higher perceived usefulness (β=.414; P<.001), unemployment (β=−.155; P=.03), and positive illness perception (β=−.205; P=.004) were associated with a significantly higher rate of telehealth service use. Regarding the relationship between telehealth service use and health outcomes, higher rates of telehealth service use were linked to better quality of life (β=.241; P=.002) and lower peritonitis (odds ratio 0.980, 95% CI 0.962-0.997; P=.03). CONCLUSIONS This study provides valuable insights into factors impacting telehealth service use, which in turn affect health outcomes in patients undergoing CAPD.