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Factors associated with enrollment into differentiated service delivery model among adults with HIV in Kenya.
Lavoie, Marie-Claude C; Koech, Emily; Blanco, Natalia; Wangusi, Rebecca; Jumbe, Marline; Kimonye, Francis; Ndaga, Angela; Ndichu, Geofrey; Makokha, Violet; Awuor, Patrick; Momanyi, Emmah; Oyuga, Roseline; Nzyoka, Sarah; Mutisya, Immaculate; Joseph, Rachel; Miruka, Fredrick; Musingila, Paul; Stafford, Kristen A; Lascko, Taylor; Ngunu, Carol; Owino, Elizabeth; Kiplangat, Anthony; Kepha, Abuya; Ng'eno, Caroline.
Afiliação
  • Lavoie MC; Division of Global Health Sciences, Department of Epidemiology and Public Health.
  • Koech E; Institute of Human Virology.
  • Blanco N; Center for International Health, Education, and Biosecurity, University of Maryland School of Medicine, Baltimore, Maryland, USA.
  • Wangusi R; Center for International Health, Education, and Biosecurity, MGIC-an affiliate of the University of Maryland Baltimore, Nairobi.
  • Jumbe M; Institute of Human Virology.
  • Kimonye F; Center for International Health, Education, and Biosecurity, University of Maryland School of Medicine, Baltimore, Maryland, USA.
  • Ndaga A; Center for International Health, Education, and Biosecurity, MGIC-an affiliate of the University of Maryland Baltimore, Nairobi.
  • Ndichu G; Center for International Health, Education, and Biosecurity, MGIC-an affiliate of the University of Maryland Baltimore, Nairobi.
  • Makokha V; Center for International Health, Education, and Biosecurity, MGIC-an affiliate of the University of Maryland Baltimore, Nairobi.
  • Awuor P; Center for International Health, Education, and Biosecurity, MGIC-an affiliate of the University of Maryland Baltimore, Nairobi.
  • Momanyi E; Center for International Health, Education, and Biosecurity, MGIC-an affiliate of the University of Maryland Baltimore, Nairobi.
  • Oyuga R; Center for International Health, Education, and Biosecurity, MGIC-an affiliate of the University of Maryland Baltimore, Nairobi.
  • Nzyoka S; Center for International Health, Education, and Biosecurity, MGIC-an affiliate of the University of Maryland Baltimore, Nairobi.
  • Mutisya I; Center for International Health, Education, and Biosecurity, MGIC-an affiliate of the University of Maryland Baltimore, Nairobi.
  • Joseph R; Center for International Health, Education, and Biosecurity, MGIC-an affiliate of the University of Maryland Baltimore, Nairobi.
  • Miruka F; Center for International Health, Education, and Biosecurity, MGIC-an affiliate of the University of Maryland Baltimore, Nairobi.
  • Musingila P; Division of Global HIV & TB (DGHT), U.S. Centers for Disease Control and Prevention (CDC), Kisumu.
  • Stafford KA; Division of Global HIV & TB (DGHT), U.S. Centers for Disease Control and Prevention (CDC), Kisumu.
  • Lascko T; Division of Global HIV & TB (DGHT), U.S. Centers for Disease Control and Prevention (CDC), Kisumu.
  • Ngunu C; Division of Global HIV & TB (DGHT), U.S. Centers for Disease Control and Prevention (CDC), Kisumu.
  • Owino E; Division of Global Health Sciences, Department of Epidemiology and Public Health.
  • Kiplangat A; Institute of Human Virology.
  • Kepha A; Center for International Health, Education, and Biosecurity, University of Maryland School of Medicine, Baltimore, Maryland, USA.
  • Ng'eno C; Institute of Human Virology.
AIDS ; 37(15): 2409-2417, 2023 Dec 01.
Article em En | MEDLINE | ID: mdl-37707787
ABSTRACT

INTRODUCTION:

Differentiated service delivery (DSD) such as multimonth dispensing (MMD) aims to provide client-centered HIV services, while reducing the workload within health facilities. We assessed individual and facility factors associated with receiving more than three MMD and switching from ≥3MMD back to <3MMD in Kenya.

METHODS:

We conducted a retrospective cohort study of clients eligible for DSD between July 2017 and December 2019. A random sample of clients eligible for DSD was selected from 32 randomly selected facilities located in Nairobi, Kisii, and Migori counties. We used a multilevel Poisson regression model to assess the factors associated with receiving ≥3MMD, and with switching from ≥3MMD back to <3MMD.

RESULTS:

A total of 3501 clients eligible for ≥3MMD were included in our

analysis:

1808 (51.6%) were receiving care in Nairobi County and the remaining 1693 (48.4%) in Kisii and Migori counties. Overall, 65% of clients were enrolled in ≥3MMD at the time of entry into the cohort. In the multivariable model, younger age (20-24; 25-29; 30-34 vs. 50 or more years) and switching ART regimen was significantly associated with a lower likelihood of ≥3MMD uptake. Factors associated with a higher likelihood of enrollment in ≥3MMD included receiving DTG vs. EFV-based ART regimen (aRR 1.10; 95% confidence interval 1.05-1.15).

CONCLUSION:

Client-level characteristics are associated with being on ≥3MMD and the likelihood of switching from ≥3MMD to <3MMD. Monitoring DSD enrollment across different populations is critical to successfully implementing these models continually.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções por HIV / Fármacos Anti-HIV Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Middle aged País/Região como assunto: Africa Idioma: En Revista: AIDS Assunto da revista: SINDROME DA IMUNODEFICIENCIA ADQUIRIDA (AIDS) Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções por HIV / Fármacos Anti-HIV Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Middle aged País/Região como assunto: Africa Idioma: En Revista: AIDS Assunto da revista: SINDROME DA IMUNODEFICIENCIA ADQUIRIDA (AIDS) Ano de publicação: 2023 Tipo de documento: Article