Riondel A., Duong Thi Huong, Michel L., Peries M., Khuat Thi Hai Oanh, Pham Minh Khue, Nham Thi Tuyet Thanh, Hoang Thi Giang, Vallo R., Cournil Amandine, Rapoud D., Quillet C., Laureillard D., Vu Hai Vinh, Moles J.P., Feelemyer J., Hammett T., Des Jarlais D., Nagot N. (2020). Towards targeted interventions in low- and middle-income countries : risk profiles of people who inject drugs in Haiphong (Vietnam). Biomed Research International, 2020, 8037193 [9 p.]. ISSN 2314-6133.
Titre du document
Towards targeted interventions in low- and middle-income countries : risk profiles of people who inject drugs in Haiphong (Vietnam)
Année de publication
2020
Auteurs
Riondel A., Duong Thi Huong, Michel L., Peries M., Khuat Thi Hai Oanh, Pham Minh Khue, Nham Thi Tuyet Thanh, Hoang Thi Giang, Vallo R., Cournil Amandine, Rapoud D., Quillet C., Laureillard D., Vu Hai Vinh, Moles J.P., Feelemyer J., Hammett T., Des Jarlais D., Nagot N.
Source
Biomed Research International, 2020,
2020, 8037193 [9 p.] ISSN 2314-6133
People who inject drugs (PWID) are a dominant risk group afflicted by blood-borne viruses, mental health disorders, and social precariousness. Risk reduction interventions are administered to PWID regardless of their characteristics or specific risks. The objective of this cross-sectional analysis was to empirically identify profiles of PWID regarding their drug use, risk behaviors, and mental health in order to tailor adapted interventions taking into account limited access to comprehensive care in middle-income countries. PWID were recruited using respondent-driven sampling. PWID with urine testing positive for heroin or methamphetamine and manifesting recent skin injection marks were enrolled. Classification of participants was based on drug use, injection, risky sexual behavior, and mental health data. This was subjected to multiple correspondence analysis followed by hierarchical cluster analysis combined with -means methodology. From October 2016 to January 2017, 1490 participants were recruited of which 1383 were eligible and enrolled. HCV prevalence was 70.5% and HIV prevalence 29.4%. The cluster analysis identified five distinct profiles: profile 1: recent injection practices and high alcohol consumption, profile 2: at-risk injection and sexual behaviors with precarious situations, profile 3: no sexual activity and older age, profile 4: frequent injections with high methamphetamine use, and profile 5: stable partnerships and less frequent injections. Our study has identified profiles of PWID at particularly high risks, and they should thus be targeted for interventions tailored to their specific risks
Plan de classement
Médecine [050MEDECI]
;
Maladies sexuellement transmissibles [052MALTRA03]
;
Sociologie et anthropologie de la santé [056SOCSAN]
Localisation
Fonds IRD [F B010081706]
Identifiant IRD
fdi:010081706
