| Literature DB >> 32641329 |
Lawrence Mbuagbaw1, Wangari Tharao2, Winston Husbands3, Laron E Nelson4, Muna Aden2, Keresa Arnold5, Shamara Baidoobonso5, Charles Dabone6, OmiSoore Dryden7, Egbe Etowa6, Jemila Hamid8, Fatimah Jackson-Best9, Bagnini Kohoun6, Daeria O Lawson10, Aisha K Lofters11, Henry Luyombya3, Tola Mbulaheni12, Paul Mkandawire13, Mary Ndungu14, Agatha Nyambi3, Suzanne Obiorah15, Fanta Ongoiba14, Clémence Ongolo-Zogo10, Chinedu Oraka16, Rita Shahin17, Sanni Yaya18, Andrew Hendricks16, Aster Gebremeskel6, Haoua Inoua19, Josephine Etowa6.
Abstract
INTRODUCTION: African, Caribbean and Black (ACB) communities are disproportionately infected by HIV in Ontario, Canada. They constitute only 5% of the population of Ontario yet account for 25% of new diagnoses of HIV. The aim of this study is to understand underlying factors that augment the HIV risk in ACB communities and to inform policy and practice in Ontario. METHODS AND ANALYSIS: We will conduct a cross-sectional study of first-generation and second-generation ACB adults aged 15-64 in Toronto (n=1000) and Ottawa (n=500) and collect data on sociodemographic information, sexual behaviours, substance use, blood donation, access and use of health services and HIV-related care. We will use dried blood spot testing to determine the incidence and prevalence of HIV infection among ACB people, and link participant data to administrative databases to investigate health service access and use. Factors associated with key outcomes (HIV infection, testing behaviours, knowledge about HIV transmission and acquisition, HIV vulnerability, access and use of health services) will be evaluated using generalised linear mixed models, adjusted for relevant covariates. ETHICS AND DISSEMINATION: This study has been reviewed and approved by the following Research Ethics Boards: Toronto Public Health, Ottawa Public Health, Laurentian University; the University of Ottawa and the University of Toronto. Our findings will be disseminated as community reports, fact sheets, digital stories, oral and poster presentations, peer-reviewed manuscripts and social media. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: HIV & AIDS; epidemiology; public health
Mesh:
Year: 2020 PMID: 32641329 PMCID: PMC7348322 DOI: 10.1136/bmjopen-2019-036259
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Outline of recruitment and data collection procedures. DBS, dry blood spot.
Outline of statistical plan
| Objectives | Outcomes | Outcome measure | Covariates | Analysis |
| Primary objective | ||||
| What is the prevalence of HIV? | HIV infection (yes/no) | Self-reported HIV positive status or a positive HIV test result | *Sociodemographic | Descriptive statistics: n (%) 95% CI or mean (SD) or median (IQR) per categorical covariate |
| What behaviours are associated with HIV transmission? | HIV infection (yes/no) | Self-reported HIV positive status or a positive HIV test result | *Sociodemographic | GLMM with binary logistic distribution |
| What factors are associated with testing behaviours for HIV? | HIV testing ever done (yes/no) | Self-reported response to HIV testing | *Sociodemographic | GLMM with binary logistic distribution |
| What are the levels of knowledge regarding HIV transmission and acquisition? | HIV knowledge** (adequate/ inadequate) | Self-reported responses to HIV knowledge questions | *Sociodemographic | Descriptive statistics: n (%) 95% CI or mean (SD) or median (IQR) per categorical covariate |
| What are the key individual and structural factors that affect vulnerability to HIV? | HIV vulnerability** (high/low) | Combination of knowledge and behavioural practices indicative of high vulnerability | *Sociodemographic | GLMM with binary logistic distribution |
| Secondary Objectives | ||||
| What is the incidence of HIV? | HIV infection within the last 6 months (yes/no) | A positive HIV test result with infection within the last 6 months, using detuned assays | *Sociodemographic | Descriptive statistics: n (%) 95% CI or mean (SD) or median (IQR per categorical covariate |
| What are the levels of access to and use of health services? | Access and use of health services** (adequate/ inadequate) | Self-reported responses to access and use of health services | *Sociodemographic | Descriptive statistics: n (%) 95% CI or mean (SD) or median (IQR per categorical covariate |
*Sociodemographic: age group (ordinal), residence (categorical), ethno-racial identity (categorical), income (categorical), gender/sex (categorical), migration (categorical), marital status (categorical), education (ordinal), religion (categorical), employment (categorical), housing (ordinal).
†Sexual behavioural: age at first intercourse (continuous), sexual orientation (categorical), sexual practices (categorical), number of partners (count), condom use (ordinal), partners HIV status (categorical), transactional sex (categorical), substance use and sex (categorical), genital cutting (categorical).
‡Substance use: injection drug use (categorical) and other substances (categorical).
§Access and use of health services: self-rated health (ordinal), primary care provider (categorical), service use (categorical), difficulties in access (categorical), sources of health information (ordinal), condom procurement (categorical), immunisation (categorical), sexually transmitted infection testing (categorical).
¶HIV-related healthcare: ever tested (categorical), self-reported status (categorical), access to care (ordinal), access to medication (ordinal), alternative medicines (categorical), HIV testing practices (ordinal), HIV knowledge (ordinal).
**Outcome measures will be categorised after deliberation with A/C study investigators.
A/C, African/Caribbean; GLMM, generalised linear mixed models; n, sample size.