This study aims to explore and visualize relationships among multiple psychological symptoms among people living with HIV (PLWH) with different HIV-positive durations and to compare centrality indices and densities of psychological symptom networks. We used subsets of data collected from five designated HIV/AIDS hospitals in China. Networks were constructed among 16 psychological symptoms. Centrality properties, including strength and closeness, were adopted to describe relationships among symptoms. The results showed that PLWH with longer HIV-positive durations had denser emotional networks, which indicated that they had more emotional neuroticism than their newly diagnosed counterparts. Sadness, self-abasement, and self-loathing were the most central psychological symptoms across different HIV-positive durations. Our study suggests the need to provide psychosocial support services targeting PLWH according to changing symptom severity and neuroticism trajectories. Interventions should focus on increasing empathy for PLWH and enhancing the ability to consider the situation from different perspectives to avoid the development of neuroticism in long-term survivors.

Background Peer support is an important supplement to medical resources for persons living with HIV (PLHIV). However, previous studies have shown mixed results about intervention effects. It is necessary to explain the mechanism of peer support interventions’ effectiveness and sustainability to help design more valid peer support interventions. Objective To identify and explain the mechanisms that drive the effectiveness and maintain the sustainability of peer support interventions. Methods A preliminary theoretical framework was developed through a scoping review of the grey literature and international project frameworks in five professional websites. We then refined the framework by systematically searching evidence in databases including PubMed, EMBASE, Web of Science, ProQuest, CINAHL, CNKI and Wanfang. Qualitative methods were used to generate codes and themes relating to the studies’ context, mechanisms and outcomes. We checked chains of inference (connections) across extracted data and themes through an iterative process. Results A total of 6345 articles were identified, and 52 articles were retained for final synthesis. The refined theoretical framework presents five areas of peer support, including informational support, instrumental support, emotional support, affiliational support and appraisal support; five types of outcomes that peer support can improve for PLHIV, including physiological outcomes, psychological outcomes, behavioural outcomes, cognitive outcomes and social outcomes; the effectiveness mechanism coding system from peer volunteers and the relationship between peer volunteers and PLHIV; and the sustainability mechanism coding system in terms of peer volunteers, PLHIV and study context. Conclusions Given that peer support has huge potential human resources, that is, all the qualified PLHIV, irreplaceable advantages in dealing with barriers to HIV-related discrimination and potential comprehensive benefits for PLHIV, it is necessary to develop and organise more peer support projects for PLHIV. Our study highlights that the expansion of peer support projects should be based on their effectiveness and sustainability. PROSPERO registration number CRD42022339079.

Perceived discrimination is significantly associated with mental health symptoms among persons living with HIV (PLWH). However, little is known about the factors mediating this relationship. We aimed to examine the mediating role of social isolation and loneliness in the association between perceived discrimination and mental health symptoms among PLWH. A multicenter (Shanghai, Kunming, Nanning, Hengyang, and Changning in China) cross-sectional study was conducted in 2017. Data from 883 PLWH were used for statistical analysis. Perceived discrimination, mental health symptoms, loneliness and social isolation were assessed through self-report questionnaires. Structural equation modeling (SEM) showed a satisfactory model fit (CMIN/DF = 2.676, GFI = 0.998, CFI = 0.997, NFI = 0.995, TLI = 0.985, RMSEA = 0.044 [0.000, 0.090]) and a significant total indirect effect (β = 0.058, SE = 0.009, Z = 6.444, p < 0.01). Both loneliness (β = 0.042, SE = 0.008, Z = −5.250, p < 0.01) and social isolation (β = 0.016, SE = 0.004, Z = −4.000, p < 0.01) were determined to be significant mediators of the association between perceived discrimination and mental health symptoms. Interventions that combat loneliness and social isolation may help ameliorate the adverse consequences of perceived discrimination on mental health.

Background: Knowledge graph–based recommender systems offer the possibility of meeting the personalized needs of people with dementia and their caregivers. However, the usability of such a recommender system remains unknown. Objective: This study aimed to evaluate the usability of a knowledge graph–based dementia care intelligent recommender system (DCIRS). Methods: We used a convergent mixed methods design to conduct the usability evaluation, including the collection of quantitative and qualitative data. Participants were recruited through social media advertisements. After 2 weeks of DCIRS use, feedback was collected with the Computer System Usability Questionnaire and semistructured interviews. Descriptive statistics were used to describe sociodemographic characteristics and questionnaire scores. Qualitative data were analyzed systematically using inductive thematic analysis. Results: A total of 56 caregivers were recruited. Quantitative data suggested that the DCIRS was easy for caregivers to use, and the mean questionnaire score was 2.14. Qualitative data showed that caregivers generally believed that the content of the DCIRS was professional, easy to understand, and instructive, and could meet users’ personalized needs; they were willing to continue to use it. However, the DCIRS also had some shortcomings. Functions that enable interactions between professionals and caregivers and that provide caregiver support and resource recommendations might be added to improve the system’s usability. Conclusions: The recommender system provides a solution to meet the personalized needs of people with dementia and their caregivers and has the potential to substantially improve health outcomes. The next step will be to optimize and update the recommender system based on caregivers’ suggestions and evaluate the effect of the application.

Persons living with HIV (PLWH) continuously experience symptom burdens. Their symptom prevalence and severity are also quite different. Mobile health (mHealth) applications (apps) offer exceptional opportunities for using personalized interventions when and where PLWH are needed. This study aimed to demonstrate the development process of the symptom management (SM) app and the structure and content of it. Our research team systematically searched for evidence-based resources and summarized up-to-date evidence for symptom management and health education. Our multidisciplinary research team that included physicians, nurses, software engineers, and nursing professors, evaluated the structure and content of the drafted app. Both quantitative data and qualitative results were collected at a group discussion meeting. Quantitative data were scores of sufficient evidence, situational suitability, practicability, cost-effectiveness, and understandability (ranged from one to four) for 119 items of the app contents, including the health tracking module, the self-assessment module, coping strategies for 18 symptoms (80 items), medication management, complementary therapy, diet management, exercise, relaxation techniques, and the obtaining support module. The SM app was comprised of eight modules and provided several personalized symptom management functions, including assessing symptoms and receiving different symptom management strategies, tracking health indicators, and communicating with medical staff. The SM app was a promising and flexible tool for HIV symptom management. It provided PLWH with personalized symptom management strategies and facilitated the case management for medical staff. Future studies are needed to further test the app’s usability among PLWH users and its effects on symptom management.