Literature DB >> 33425190

[Determinants of non-compliance with antiretroviral therapy in adult patients in Kinshasa].

Benilde Bepouka Izizag1, Hippolyte Situakibanza1, Florian Kiazayawoko1, Aliocha Nkodila2, Eric Mafuta3, Philippe Lukanu4, Henry Mukumbi5, Murielle Longokolo1, Madone Mandina1, Nadine Mayasi1, Amede Kinuka6, Evelyne Amaela6, Willy Kazadi6, Marcel Mbula1.   

Abstract

INTRODUCTION: the purpose of this study was to identify the determinants of non-compliance of persons living with HIV with antiretroviral treatment in Kinshasa.
METHODS: we conducted a cross-sectional study in Kinshasa from 1st May to 31st August 2015. The study population was composed of patients aged at least 18 years living with HIV who had been treated with antiretroviral drugs for at least 3 months. Adherence Index (subjective method) and prescription refills (objective method) were used to assess compliance. Determinants of non-compliance were identified by logistic regression model.
RESULTS: the 400 patients living with HIV had a median age of 43 years (18-75). Global non-compliance rate was 25.5%. Objective non-compliance rate was higher than that of subjective non-compliance (29% vs 21%, p = 0.01). Payment for consultation [adjusted odds ratio (AOR): 1.70; 95% confidence interval (95% CI): 1.02-2.81; p = 0.042), adverse reactions (AOR: 2.23; 95% CI: 1.33-3.75; p = 0.002) and the lack of awareness that missing a dose may worsen disease (AOR: 4.16; 95% CI: 1.04-16.68; p = 0.045) were determinants of non-compliance. Having trusted person was a protective factor versus non-compliance (AOR: 0.54; 95% CI: 0.39-0.93; p = 0.004).
CONCLUSION: the rate of non-compliance with antiretroviral treatment is high in Kinshasa. The evaluation of determinants is necessary to establish strategies for improving compliance. Copyright: Benilde Bepouka Izizag et al.

Entities:  

Keywords:  Antiretroviral therapy; Kinshasa; determinants; non-compliance

Mesh:

Substances:

Year:  2020        PMID: 33425190      PMCID: PMC7757311          DOI: 10.11604/pamj.2020.37.157.13261

Source DB:  PubMed          Journal:  Pan Afr Med J


  33 in total

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Authors:  S B Mannheimer; R Mukherjee; L R Hirschhorn; J Dougherty; S A Celano; D Ciccarone; K K Graham; J E Mantell; L M Mundy; L Eldred; Michael Botsko; R Finkelstein
Journal:  AIDS Care       Date:  2006-10

2.  Adherence to highly active antiretroviral therapy (HAART): a meta-analysis.

Authors:  Carmen Ortego; Tania B Huedo-Medina; Javier Llorca; Lourdes Sevilla; Pilar Santos; Elías Rodríguez; Michelle R Warren; Javier Vejo
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3.  Gender differences in factors associated with adherence to antiretroviral therapy.

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4.  Differential predictors of medication adherence in HIV: findings from a sample of African American and Caucasian HIV-positive drug-using adults.

Authors:  April D Thames; Jennifer Moizel; Stella E Panos; Sapna M Patel; Desiree A Byrd; Hector F Myers; Gail E Wyatt; Charles H Hinkin
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5.  Timeliness of clinic attendance is a good predictor of virological response and resistance to antiretroviral drugs in HIV-infected patients.

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Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

6.  [Study of factors related to adherence to antiretroviral therapy among patients followed at HIV/AIDS Unit in the District Hospital of Dschang, Cameroon].

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Journal:  Pan Afr Med J       Date:  2012-06-29

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8.  Factors associated with adherence to antiretroviral therapy in HIV-infected patients in Kathmandu District, Nepal.

Authors:  Rajesh Shigdel; Elise Klouman; Anita Bhandari; Luai A Ahmed
Journal:  HIV AIDS (Auckl)       Date:  2014-06-24

9.  Predictors of adherence to antiretroviral therapy among HIV-infected persons: a prospective study in Southwest Ethiopia.

Authors:  Alemayehu Amberbir; Kifle Woldemichael; Sofonias Getachew; Belaineh Girma; Kebede Deribe
Journal:  BMC Public Health       Date:  2008-07-30       Impact factor: 3.295

10.  Prevalence and determinants of adherence to HAART amongst PLHIV in a tertiary health facility in south-south Nigeria.

Authors:  Afiong O Oku; Eme T Owoaje; Olusimbo K Ige; Angela Oyo-Ita
Journal:  BMC Infect Dis       Date:  2013-08-30       Impact factor: 3.090

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Journal:  Int J Environ Res Public Health       Date:  2022-01-19       Impact factor: 3.390

2.  Predictors of retention in the prospective HIV prevention OKAPI cohort in Kinshasa.

Authors:  S Carlos; E Burgueño; A Ndarabu; G Reina; C Lopez-Del Burgo; A Osorio; B Makonda; J de Irala
Journal:  Sci Rep       Date:  2021-03-08       Impact factor: 4.379

  2 in total

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