Background Caring for people with dementia is perceived as one of the most stressful and difficult forms of caring. Family caregivers always experience high levels of psychological burden and physical strain, so effective and practical support is essential. Internet-based supportive interventions can provide convenient and efficient support and education to potentially reduce the physical and psychological burden associated with providing care. Objective This review aimed to (1) assess the efficacy of internet-based supportive interventions in ameliorating health outcomes for family caregivers of people with dementia, and (2) evaluate the potential effects of internet-based supportive intervention access by caregivers on their care recipients. Methods An electronic literature search of the PubMed, EMBASE, Web of Science, CINAHL, Cochrane Library, and PsycINFO databases was conducted up to January 2020. Two reviewers (ML and YZ) worked independently to identify randomized controlled trials (RCTs) that met the inclusion criteria and independently extracted data. The quality of the included RCTs was evaluated using the approach recommended by the Cochrane Handbook for Systematic Reviews of Interventions. Standardized mean differences (SMDs) with 95% CIs were applied to calculate the pooled effect sizes. Results In total, 17 RCTs met the eligibility criteria and were included in this systematic review. The meta-analysis showed that internet-based supportive interventions significantly ameliorated depressive symptoms (SMD=–0.21; 95% CI –0.31 to –0.10; P<.001), perceived stress (SMD=–0.40; 95% CI –0.55 to –0.24; P<.001), anxiety (SMD=–0.33; 95% CI –0.51 to –0.16; P<.001), and self-efficacy (SMD=0.19; 95% CI 0.05-0.33; P=.007) in dementia caregivers. No significant improvements were found in caregiver burden, coping competence, caregiver reactions to behavioral symptoms, or quality of life. Six studies assessed the unintended effects of internet-based supportive intervention access by caregivers on their care recipients. The results showed that internet-based supportive interventions had potential benefits on the quality of life and neuropsychiatric symptoms in care recipients. Conclusions Internet-based supportive interventions are generally effective at ameliorating depressive symptoms, perceived stress, anxiety, and self-efficacy in dementia caregivers and have potential benefits on care recipients. Future studies are encouraged to adopt personalized internet-based supportive interventions to improve the health of family caregivers and their care recipients. Trial Registration PROSPERO CRD42020162434; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=162434

BACKGROUND Caring for people with dementia is perceived as one of the most stressful and difficult forms of caring. Family caregivers always experience high levels of psychological burden and physical strain, so effective and practical support is essential. Internet-based supportive interventions can provide convenient and efficient support and education to potentially reduce the physical and psychological burden associated with providing care. OBJECTIVE This review aimed to (1) assess the efficacy of internet-based supportive interventions in ameliorating health outcomes for family caregivers of people with dementia, and (2) evaluate the potential effects of internet-based supportive intervention access by caregivers on their care recipients. METHODS An electronic literature search of the PubMed, Embase, Web of Science, CINAHL, Cochrane Library and PsycINFO databases was conducted up to January 2020. The two reviewers worked independently to identify randomized controlled trials (RCTs) that met the inclusion criteria and independently extracted data. The quality of the included RCTs was evaluated using the approach recommended by the Cochrane Handbook for Systematic Reviews of Interventions. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were applied to calculate the pooled effect sizes. RESULTS In total, seventeen RCTs met the eligibility criteria and were included in this systematic review. The meta-analysis showed that internet-based supportive interventions significantly ameliorated depressive symptoms (SMD = -0.21; 95% CI, -0.31 to -0.10; p < 0.0001), perceived stress (SMD = -0.40; 95% CI, -0.55 to -0.24; p < 0.00001), anxiety (SMD = -0.33; 95% CI, -0.51 to -0.16; p = 0.0002), and self-efficacy (SMD = 0.19; 95% CI, 0.05 to 0.33; p = 0.007) in dementia caregivers. No significant improvements were found in caregiver burden, coping competence, or caregiver reaction to behavioral symptoms. Five studies assessed the unintended effects of internet-based supportive intervention access by caregivers on their care recipients. The results showed that internet-based supportive interventions had potential benefits on the quality of life and neuropsychiatric symptoms in care recipients. CONCLUSIONS Internet-based supportive interventions are generally effective at ameliorating depressive symptoms, perceived stress, anxiety, and self-efficacy in dementia caregivers and have potential benefits on care recipients. Future researchers are encouraged to adopt personalized internet-based supportive interventions to improve the health of family caregivers and their care recipients.

BACKGROUND Knowledge graph-based recommender system offers the possibility of meeting the personalized needs of people with dementia and their caregivers. However, the usability of the developed recommender system is still unknown. OBJECTIVE This study aimed to evaluate the usability of a knowledge graph-based dementia care intelligent recommender system. METHODS A mixed-methods approach was employed to conduct the usability evaluation, including the collection of quantitative and qualitative data. Participants were recruited to use the recommender system via advertisements displayed on social media. After two weeks of use, feedback was provided through the Computer System Usability Questionnaire and semi-structured 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 recommender system was easy for caregivers to use, with a mean questionnaire score of 2.14. Qualitative data showed that caregivers generally believed that the content of the recommender system was professional, easy to understand and instructive and could meet users’ personalized needs, and they were willing to continue to use it. However, the system also has shortcomings. Functions that provide interactions between professionals and caregivers, 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 upgrade the recommender system based on the caregivers' suggestions and evaluate the effect of the application. CLINICALTRIAL Not applicable.