Social Network Factors as Correlates and Predictors of High Depressive Symptoms Among Black Men Who Have Sex with Men in HPTN 061.

Depression is linked to a range of poor HIV-related health outcomes. Minorities and men who have sex with men (MSM), suffer from high rates of depression. The current study examined the relationship between depressive symptoms and social network characteristics among community-recruited Black MSM in HPTN 061 from 6 US cities. A social network inventory was administer at baseline and depression was assessed with the CES-D at baseline, 6, and 12-months. At baseline, which included 1167 HIV negative and 348 HIV positive participants, size of emotional, financial, and medical support networks were significantly associated with fewer depressive symptoms. In longitudinal mixed models, size of emotional, financial, and medical support networks were significantly associated with fewer depressive symptoms as was the number of network members seen weekly. In the multivariate analyses, size of medical appointment network remained statistically significant (aOR 0.89, CI 0.81-0.98). These findings highlight the importance of network support of medical care on depression and suggest the value of support mobilization.

Looking Upstream to Tackle Social Health Needs.

A frequently cited statistic in the health equity arena is that 60 percent of health care spending is driven by social factors. During the American Hospital Association Leadership Summit July 27-29 in San Diego, RISHI MANCHANDA,M.D., president of HealthBegins, an organization dedicated to achieving health equity, and the former chief medical officer for a large self-insured employer based in California, will deliver a keynote speech depicting a health care system that addresses.

ZIKA PREP. 5 things you should know about Zika.

The migration of the Zika virus into North America is posing challenges for health care providers. Here are five things to keep in mind.

Measuring mental health literacy--a review of scale-based measures.

BACKGROUND: Mental Health Literacy (MHL) has become an important concept in the literature; however, quantitative research on MHL methodology has been limited. AIMS: This review identified peer-reviewed papers investigating MHL, assessed psychometric attributes of scale-based measures of MHL, and the extent that studies assessed the attributes that define MHL. METHOD: A comprehensive review of the literature was conducted to identify measures which generate a total MHL or subscale score was also conducted. A total of 13 studies were identified and their psychometric attributes determined using the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN). The extent to which each measure assessed the attributes of MHL was also determined. RESULTS: Results showed that included studies failed to report detailed information about the sample, measure development and testing to demonstrate the psychometric properties of their tool. CONCLUSION: There are substantial limitations in current ability to measure MHL and there is significant scope for the development and evaluation of psychometrically robust measures that assess the relevant attributes of MHL. Further research could also focus on the adequacy of the current definition of MHL.

Measurement properties of the Mental Health Literacy Scale (MHLS) validation studies: a systematic review protocol.

INTRODUCTION: Mental Health Literacy (MHL) is important for improving mental health and reducing inequities in treatment. The Mental Health Literacy Scale (MHLS) is a valid and reliable assessment tool for MHL. This systematic review will examine and compare the measurement properties of the MHLS in different languages, enabling academics, clinicians and policymakers to make informed judgements regarding its use in assessments. METHODS AND ANALYSIS: The review will adhere to the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology for systematic reviews of patient-reported outcome measures and the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis and will be presented following the Preferred Reporting Items for Systematic reviews and Meta-Analysis 2020 checklist. The review will be conducted in four stages, including an initial search confined to PubMed, a search of electronic scientific databases PsycINFO, CINAHL, Scopus, MEDLINE, Embase (Elsevier), PubMed (NLM) and ERIC, an examination of the reference lists of all papers to locate relevant publications and finally contacting the MHLS original author to identify validation studies that the searches will not retrieve. These phases will assist us in locating studies that evaluate the measurement properties of MHLS across various populations, demographics and contexts. The search will focus on articles published in English between May 2015 and December 2023. The methodological quality of the studies will be evaluated using the COSMIN Risk of Bias checklist, and a comprehensive qualitative and quantitative data synthesis will be performed. ETHICS AND DISSEMINATION: Ethics approval is not required. The publication will be in peer-reviewed journals and presented at national and international conferences. PROSPERO REGISTRATION NUMBER: CRD42023430924.