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      Neighborhoods, Networks, and HIV Care Among Men Who Have Sex With Men: Proposal for a Longitudinal Study

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          Abstract

          Background

          The majority of people living with HIV in the United States are men who have sex with men (MSM), with race- and ethnicity-based disparities in HIV rates and care continuum. In order to uncover the neighborhood- and network-involved pathways that produce HIV care outcome disparities, systematic, theory-based investigation of the specific and intersecting neighborhood and social network characteristics that relate to the HIV care continuum must be engaged.

          Objective

          Using socioecological and intersectional conceptual frameworks, we aim to identify individual-, neighborhood-, and network-level characteristics associated with HIV care continuum outcomes (viral suppression, retention in care, and antiretroviral adherence) among MSM living with HIV in New York City.

          Methods

          In the longitudinal cohort study, we assess 3 neighborhoods of potential influence (residential, social, and health care access activity spaces) using Google Earth. We investigate the influence of neighborhood composition (eg, concentrated poverty and racial segregation) and four neighborhood-level characteristics domains: (1) community violence, physical disorder, and social disorganization (eg, crime rates and housing vacancy); (2) alcohol and other drug use; (3) social norms (eg, homophobia and HIV stigma); and (4) community resources (eg, social services and public transit access). We test theoretical pathways of influence, including stress or coping, stigma or resilience, and access to resources, across the different neighborhoods in which MSM live, socialize, and receive HIV care. At each visit, we locate each participant’s reported activity spaces (ie, neighborhoods of potential influence) and collect individual-level data on relevant covariates (including perceptions of or exposure to neighborhoods) and social network inventory data on the composition, social support, and perceived social norms. The outcomes are HIV viral suppression, retention in care, and antiretroviral adherence. These data are combined with an existing, extensive geospatial database of relevant area characteristics. Spatial analysis and multilevel modeling are used to test the main theory-driven hypotheses and capture independent neighborhood-level and network-level effects and changes over time.

          Results

          The study began enrollment in March 2019 and concluded visits in December 2023, with a total of 327 participants enrolled. The median age was 44.1 (SD 11.5) years. Almost all participants self-identified as cisgender men (n=313, 98.1%) and as gay, homosexual, or bisexual (n=301, 94.4%). Overall, 192 (60.1%) participants identified as non-Hispanic Black, and 81 (25.3%) identified as Hispanic. Most (n=201, 63%) reported at least occasional difficulty in meeting basic needs (eg, rent and food) in the past 6 months. The mean number of years living with HIV was 15.4 (SD 10.1).

          Conclusions

          This study will have direct implications for the design of multilevel interventions, addressing factors at the neighborhood, network, and individual levels. Results may inform urban planning and program design to improve HIV care outcomes for MSM, particularly for Black and Latino MSM living in urban areas.

          International Registered Report Identifier (IRRID)

          PRR1-10.2196/64358

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          Most cited references105

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          The PHQ-9: validity of a brief depression severity measure.

          While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity. The Patient Health Questionnaire (PHQ) is a self-administered version of the PRIME-MD diagnostic instrument for common mental disorders. The PHQ-9 is the depression module, which scores each of the 9 DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 was completed by 6,000 patients in 8 primary care clinics and 7 obstetrics-gynecology clinics. Construct validity was assessed using the 20-item Short-Form General Health Survey, self-reported sick days and clinic visits, and symptom-related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interview in a sample of 580 patients. As PHQ-9 depression severity increased, there was a substantial decrease in functional status on all 6 SF-20 subscales. Also, symptom-related difficulty, sick days, and health care utilization increased. Using the MHP reinterview as the criterion standard, a PHQ-9 score > or =10 had a sensitivity of 88% and a specificity of 88% for major depression. PHQ-9 scores of 5, 10, 15, and 20 represented mild, moderate, moderately severe, and severe depression, respectively. Results were similar in the primary care and obstetrics-gynecology samples. In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity. These characteristics plus its brevity make the PHQ-9 a useful clinical and research tool.
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            Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence.

            Ilan Meyer (2003)
            In this article the author reviews research evidence on the prevalence of mental disorders in lesbians, gay men, and bisexuals (LGBs) and shows, using meta-analyses, that LGBs have a higher prevalence of mental disorders than heterosexuals. The author offers a conceptual framework for understanding this excess in prevalence of disorder in terms of minority stress--explaining that stigma, prejudice, and discrimination create a hostile and stressful social environment that causes mental health problems. The model describes stress processes, including the experience of prejudice events, expectations of rejection, hiding and concealing, internalized homophobia, and ameliorative coping processes. This conceptual framework is the basis for the review of research evidence, suggestions for future research directions, and exploration of public policy implications.
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              You want to measure coping but your protocol's too long: consider the brief COPE.

              Studies of coping in applied settings often confront the need to minimize time demands on participants. The problem of participant response burden is exacerbated further by the fact that these studies typically are designed to test multiple hypotheses with the same sample, a strategy that entails the use of many time-consuming measures. Such research would benefit from a brief measure of coping assessing several responses known to be relevant to effective and ineffective coping. This article presents such a brief form of a previously published measure called the COPE inventory (Carver, Scheier, & Weintraub, 1989), which has proven to be useful in health-related research. The Brief COPE omits two scales of the full COPE, reduces others to two items per scale, and adds one scale. Psychometric properties of the Brief COPE are reported, derived from a sample of adults participating in a study of the process of recovery after Hurricane Andrew.
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                Author and article information

                Contributors
                Journal
                JMIR Res Protoc
                JMIR Res Protoc
                ResProt
                JMIR Research Protocols
                JMIR Publications (Toronto, Canada )
                1929-0748
                2024
                13 November 2024
                : 13
                : e64358
                Affiliations
                [1 ] Laboratory of Infectious Disease Prevention Lindsley F. Kimball Research Institute New York Blood Center New York, NY United States
                [2 ] Division of Infectious Diseases Department of Medicine Columbia University Irving Medical Center New York, NY United States
                [3 ] Laboratory of Data Analytics Lindsley F. Kimball Research Institute New York Blood Center New York, NY United States
                [4 ] Department of Medicine STAR Program SUNY Downstate Health Sciences University Brooklyn, NY United States
                [5 ] City University of New York CUNY School of Medicine New York, NY United States
                [6 ] Department of Health Policy, Management and Behavior College of Integrated Health Sciences State University of New York at Albany Albany, NY United States
                [7 ] Spatial Science for Public Health Center and Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore, MD United States
                [8 ] Department of Health, Behavior and Society Johns Hopkins Bloomberg School of Public Health Baltimore, MD United States
                [9 ] Department of Epidemiology Columbia University Mailman School of Public Health New York, NY United States
                [10 ] Columbia University School of Social Work New York, NY United States
                Author notes
                Corresponding Author: Hong Van Tieu htieu@ 123456nybc.org
                Author information
                https://orcid.org/0000-0002-7880-6448
                https://orcid.org/0000-0002-1250-2417
                https://orcid.org/0000-0002-0860-5114
                https://orcid.org/0000-0001-6321-7088
                https://orcid.org/0000-0002-6945-5076
                https://orcid.org/0000-0001-8252-0648
                https://orcid.org/0000-0002-2789-5460
                https://orcid.org/0000-0002-2875-8812
                https://orcid.org/0000-0002-7931-2116
                https://orcid.org/0000-0003-0211-7707
                https://orcid.org/0000-0003-3239-7201
                Article
                v13i1e64358
                10.2196/64358
                11602767
                39536314
                997cb0d6-4061-4e30-8dac-63d1c704d757
                ©Hong Van Tieu, Vijay Nandi, José E Diaz, Emily Greene, Melonie Walcott, Frank Curriero, Michael R Desjardins, Cara Wychgram, Carl Latkin, Andrew G Rundle, Victoria A Frye, NNHIV Study Team. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 13.11.2024.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.

                History
                : 18 July 2024
                : 4 August 2024
                : 16 August 2024
                : 17 August 2024
                Categories
                Proposal
                Proposal
                Custom metadata
                The proposal for this study was peer-reviewed by: Population and Public Health Approaches to HIV/AIDS Study Section (PPAH) - AIDS and Related Research Integrated Review Group - Center for Scientific Review (National Institutes of Health, USA). See the Multimedia Appendix for the peer-review report;

                neighborhoods,social networks,hiv care outcomes,men who have sex with men,living with hiv,activity spaces

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