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Strategies for Recruiting Migrants to Participate in a Sexual Health Survey: Methods, Results, and Lessons
In this article, we describe the approaches taken to recruit adult migrants living in Australia for a sexual health and blood-borne virus survey (paper and online) and present data detailing the outcomes of these approaches. The purpose was to offer guidance to redress the under-representation of mi...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9564521/ https://www.ncbi.nlm.nih.gov/pubmed/36231514 http://dx.doi.org/10.3390/ijerph191912213 |
Sumario: | In this article, we describe the approaches taken to recruit adult migrants living in Australia for a sexual health and blood-borne virus survey (paper and online) and present data detailing the outcomes of these approaches. The purpose was to offer guidance to redress the under-representation of migrants in public health research. Methods of recruitment included directly contacting people in individual/organizational networks, social media posts/advertising, promotion on websites, and face-to-face recruitment at public events/venues. Search query strings were used to provide information about an online referral source, and project officers kept records of activities and outcomes. Descriptive statistical analyses were used to determine respondent demographic characteristics, proportions recruited to complete the paper and online surveys, and sources of referral. Logistic regression analyses were run to predict online participation according to demographic characteristics. The total sample comprised 1454 African and Asian migrants, with 59% identifying as female. Most respondents (72%) were recruited to complete the paper version of the survey. Face-to-face invitations resulted in the highest number of completions. Facebook advertising did not recruit large numbers of respondents. Same-sex attraction and age (40–49 years) were statistically significant predictors of online completion. We encourage more researchers to build the evidence base on ways to produce research that reflects the needs and perspectives of minority populations who often bear the greatest burden of disease. |
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