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Photovoice is a transformative tool for improving health outcomes among people living with mental ill-health (PLWMI), fostering empowerment and social change. Only one meta-analysis has evaluated the effectiveness of photovoice for mental health outcomes. However, the study focused on various health conditions and only addressed two mental health outcomes. With an exclusive focus on mental health and stigma, this meta-analysis aimed to provide a comprehensive understanding of photovoice's impact on eight mental health and stigma-related outcomes in PLWMI and healthcare providers (HCPs). The study included seven randomised control trials (Sample size (n)=754), retrieved from electronic databases including Cochrane Trials, CINAHL Plus, ProQuest, Medline, PsychInfo, and Google Scholar, published between 2013 and 2023. Random-effects meta-analyses were conducted to calculate effect sizes (Cohen's d (d)). The study protocol was pre-registered on PROSPERO (CRD42023476867). Results showed significant improvements in mental health outcomes for PLWMI. Photovoice led to reductions in social withdrawal (n = 318; d, 95% CI = -0.20, -0.41 to 0.00) and depression (n = 267; d, 95% CI = -0.23, -0.45 to -0.02). Additionally, it increased self-efficacy (n = 267; d, 95% CI = 0.22, 0.00 to 0.44) and recovery (n = 285; d, 95% CI = 0.19, -0.02 to 0.41). However, there was a decrease in stigma resistance (n = 318; d, 95% CI = -0.13, -0.36 to 0.10). Among HCPs, there were significant improvements in both stigma and mental health-related outcomes, with reductions in anger (n = 330; d, 95% CI = -1.05, -2.79 to 0.69), social distance (n = 418; d, 95% CI = -1.41, -3.02 to 1.03), and the perception of danger (n = 115; d, 95% CI = -1.80, -5.04 to 1.44). The findings highlight the potential of photovoice as an effective intervention for improving mental health outcomes and reducing stigma in both PLWMI and HCPs. Consequently, photovoice can play a crucial role in enhancing the well-being of PLWMI and in transforming HCP attitudes within healthcare settings.
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http://dx.doi.org/10.1371/journal.pgph.0004272 | DOI Listing |
J Med Internet Res
September 2025
Department of Psychiatry, Helsinki University Hospital and Helsinki University, Helsinki, Finland.
Background: Internet-based cognitive behavioral therapies (iCBTs) are typically categorized into 2 types: therapist-assisted and self-guided. Both formats have accumulated substantial evidence supporting their cost-effectiveness and efficacy in treating a range of mental health conditions. However, therapist-assisted iCBTs tend to show lower dropout rates than self-guided versions.
View Article and Find Full Text PDFJMIR Ment Health
September 2025
National Institute of Health and Care Research MindTech HealthTech Research Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Background: Cross-sector collaboration is increasingly recognized as essential for addressing complex health challenges, including those in mental health. Industry-academic partnerships play a vital role in advancing research and developing health solutions, yet differing priorities and perspectives can make collaboration complex.
Objective: This study aimed to identify key principles to support effective industry-academic partnerships, from the perspective of industry partners, and develop this into actionable guidance, which can be applied across sectors.
JMIR Res Protoc
September 2025
National Institute of Public Health, University of Southern Denmark, Copenhagen K, Denmark.
Background: The high and increasing rate of poor mental health among young people is a matter of global concern. Experiencing poor mental health during this formative stage of life can adversely impact interpersonal relationships, academic and professional performance, and future health and well-being if not addressed early. However, only a few of those in need seek help.
View Article and Find Full Text PDFNeuro Endocrinol Lett
September 2025
Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China.
Background: Major depressive disorder (MDD) is associated with neuro-immune - metabolic - oxidative (NIMETOX) pathways.
Aims: To examine the connections among NIMETOX pathways in outpatient MDD (OMDD) with and without metabolic syndrome (MetS); and to determine the prevalence of NIMETOX aberrations in a cohort of OMDD patients.
Methods: We included 67 healthy controls and 66 OMDD patients and we assessed various NIMETOX pathways.