Factors associated with health-related quality of life among people living with HIV in South Korea: Tobit regression analysis.

This study investigated health-related quality of life and identified factors affecting it among people with the HIV in South Korea. A total of 243 people living with HIV participated in this cross-sectional survey. Data were collected from five hospitals between November 2021 and August 2022 using structured online questionnaires. Data were analyzed using descriptive statistics, Mann-Whitney U test, Kruskal-Wallis test, Spearman's rho analysis, and Tobit regression analysis because a significant ceiling effect was observed for the dependent variable. The mean score for the health-related quality of life was 75.74 ± 16.48. The significant factors that positively influence the health-related quality of life were "employment" (B = 4.57, p = .035), "not participating in the self-help group" (B = 6.10, p = .004), "higher self-efficacy for managing symptoms" (B = 1.32, p = .036), "higher self-efficacy for getting support/help" (B = 0.95, p = .035), and "higher self-efficacy for managing fatigue" (B = 2.80, p < .001) in the Tobit regression analysis. The results suggest that interventions to increase self-efficacy should involve developing programs and policies for people living with HIV. There is a need for efforts to provide healthcare services linked to employment support, as well as to establish a social environment in which they can work without stigma. Further, self-help groups could be utilized as intervention channels.

Three cycles of mobile app design to improve HIV self-management: A development and evaluation study.

Objective: Employing three cycles of Design Science Research (DSR) to develop a mobile app 'ESSC (Excellent Self Supervised HIV Care)' to improve self-management among people living with HIV (PLWH). Methods: This study is based on the DSR framework comprising three iterative cycles. In the Relevance cycle, PLWH participated in a survey of mobile health (mHealth) experiences and needs. In the Rigor cycle, the information-motivation-behavioural skills (IMB) model was applied to foundations of the app, and HIV specialists verified the contents. Experts evaluated the heuristic system and the app quality with the Mobile Application Rating Scale (MARS). In the Design cycle, ESSC was built on the findings of the other two cycles, and end-users tested the usability using uMARS. Results: The contents of the app were developed based on user requirements. The IMB model led ESSC to supplement motivational components for self-management, which built five functions: information contents; health life records including mental and sexual health; interactive counselling with healthcare providers; setting health goals after watching videos; and my page for self-reflection. To reduce social stigma and promote acceptance of the information-driven app, we created animated characters with neutral and bright features. The HIV specialists evaluated content validity as highly appropriate. The MARS score by the overall raters was between 3-acceptable and 4-good: functionality, 4.38; information, 4.12; aesthetics, 3.96; engagement, 3.37; and subjective quality, 3.25. Conclusions: The DSR approach is effective for implementing usable and useful mHealth. The ESSC app would be feasible and contribute PLWH to retention in care.

Network visualization to interpret which healthcare services are central to people living with HIV.

AIM: To employ network analysis to identify the central healthcare service needs of people living with HIV (PLWH) for integrated care. DESIGN: Cross-sectional survey. METHODS: A list of healthcare services was identified through literature reviews, expert workshops and validity evaluations by PLWH. A total of 243 PLWH participated at five hospitals and self-reported their need for healthcare services on a four-point Likert scale. Centrality of healthcare service needs was analysed using network analysis. RESULTS: The mean score for 20 healthcare service needs was 3.53 out of 4. The highest scoring need, "Precaution for interaction between antiretroviral therapy and other drugs," received a rating of 3.73 but had a centrality of only 0.31. The most central node in the network of healthcare service needs, "Information and coping with opportunistic infections," had a strength centrality of 1.63 and showed significant relationships with "non-HIV-related medical services (e.g., health check-ups)" and "Regular dental services." The correlation stability coefficient, which quantifies the stability of centrality, was 0.44 with an acceptable value. CONCLUSIONS: The most central need was information on opportunistic infections that had connections with many nodes in network analysis. By interpreting the relationships between needs, healthcare providers can design interventions with an integrative perspective. IMPLICATIONS FOR PATIENT CARE: Network visualization provides dynamic relationships between needs that are unknown from the score scale by presenting them graphically and qualitatively. IMPACT: Using network analysis to interpret need assessment offers an integrated nursing perspective. Coping with opportunistic infection is central to connecting the chain of healthcare. This study highlights the multifaceted understanding of patients' needs that nurses gain when they conduct network analysis. REPORTING METHOD: We adhered to the STROBE checklist. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

[Psychometric Properties of the Korean Version of Self-Efficacy for HIV Disease Management Skills].

PURPOSE: This study evaluated the validity and reliability of Shively and colleagues' self-efficacy for HIV disease management skills (HIV-SE) among Korean participants. METHODS: The original HIV-SE questionnaire, comprising 34 items, was translated into Korean using a translation and back-translation process. To enhance clarity and eliminate redundancy, the author and expert committee engaged in multiple discussions and integrated two items with similar meanings into a single item. Further, four HIV nurse experts tested content validity. Survey data were collected from 227 individuals diagnosed with HIV from five Korean hospitals. Construct validity was verified through confirmatory factor analysis. Criterion validity was evaluated using Pearson's correlation coefficients with the new general self-efficacy scale. Internal consistency reliability and test-retest were examined for reliability. RESULTS: The Korean version of HIV-SE (K-HIV-SE) comprises 33 items across six domains: "managing depression/mood," "managing medications," "managing symptoms," "communicating with a healthcare provider," "getting support/help," and "managing fatigue." The fitness of the modified model was acceptable (minimum value of the discrepancy function/degree of freedom = 2.49, root mean square error of approximation = .08, goodness-of-fit index = .76, adjusted goodness-of-fit index = .71, Tucker-Lewis index = .84, and comparative fit index = .86). The internal consistency reliability (Cronbach's α = .91) and test-retest reliability (intraclass correlation coefficient = .73) were good. The criterion validity of the K-HIV-SE was .59 (p < .001). CONCLUSION: This study suggests that the K-HIV-SE is useful for efficiently assessing self-efficacy for HIV disease management.

Factors Associated With Airline Cabin Crews' Influenza Vaccination Intention in the Workplace-based Setting.

BACKGROUND: Yearly influenza vaccination is the best way to prevent influenza. Workplace vaccination program for airline cabin crews is an important countermeasure in the management of infectious diseases. Understanding the influenza vaccination behavior of cabin crews is essential to establishing strategies to promote vaccine uptake. This study aimed to examine factors associated with airline cabin crews' influenza vaccination intention in a workplace-based setting. We applied the theory of planned behavior (TPB) to explain the vaccination behavior of employees. METHODS: A cross-sectional study was performed in April 2021. Participants self-reported the structured questionnaires that consisted of TPB variables, and reasons for influenza vaccination/nonvaccination in 2020. A total of 253 crew members participated, and 242 were included in the analysis. FINDINGS: The influenza vaccination rate was 70.7% in 2020, and vaccination intention was 5.92 of 7 points in 2021. Multiple linear regression showed that influenza vaccination intention was associated with subjective norms (ß = .394, p < .001), positive attitude (ß = .145, p = .007), perceived behavioral control (ß = .170, p = .004), actual behavioral control (ß = .145, p = .010), and the previous year's vaccination (ß = .163, p < .001). The model accounted for 57% of the variance in influenza vaccination intention (F = 40.959, p < .001). CONCLUSIONS/APPLICATION TO PRACTICE: Our findings indicate that TPB is useful in explaining employees' influenza vaccination intention and influencing factors. Focusing on positive messages that emphasize the social effects of vaccination and providing free vaccination on specific dates are potential strategies to increase intention. It can be applied to help design on-site workplace vaccination programs for essential frontline workers.