Partner notification service utilization and associated factors among clients attending anti-retroviral therapy clinics of public health facilities in Gimbi Town, West Ethiopia, 2023: a facility-based mixed-method cross-sectional study

Partner Notification Service is among the strategies used to conduct targeted Human Immunodeficiency Virus Testing Service by obtaining information about sexual contacts of index clients to refer for testing. But most people living with Human Immunodeficiency Virus are still unaware of their status,...

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Veröffentlicht in:BMC public health 2024-03, Vol.24 (1), p.687-687, Article 687
Hauptverfasser: Oljira, Habtamu, Rata, Abiriham, Mulatu, Befirdu, Abera, Tesfaye
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Sprache:eng
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Zusammenfassung:Partner Notification Service is among the strategies used to conduct targeted Human Immunodeficiency Virus Testing Service by obtaining information about sexual contacts of index clients to refer for testing. But most people living with Human Immunodeficiency Virus are still unaware of their status, including Ethiopia. Limited studies are available on the magnitude of partner notification service utilization and associated factors in Ethiopia. The aim of this study was to assess the magnitude of partner notification service utilization and associated factors among people living with Human Immunodeficiency Virus attending anti-retroviral therapy clinics of public health facilities in Gimbi town, West Ethiopia. A facility-based mixed-method cross-sectional study design was used. Total of 455 study participants were selected by systematic random sampling for quantitative data and health workers were purposively selected for qualitative data until saturation of ideas was reached. The study was conducted from December 1, 2022 to January 30, 2023. Structured questionnaires and key informant interview guides were used for data collection. Quantitative data were analyzed using Statistical Package for Social Science version 25. Open code 4.02 software was used for qualitative data analysis. Frequencies and proportions were used to summarize descriptive statistics. Bivariable and multivariable logistic regression was used to identify associated factors then variables with a p value
ISSN:1471-2458
1471-2458
DOI:10.1186/s12889-024-18196-4