Antiretroviral treatment adherence and mental disorders: observational case-control study in people living with HIV in Spain

AIDS Care ◽  
2021 ◽  
pp. 1-9
Author(s):  
Carlos Parro-Torres ◽  
Daniel Hernández-Huerta ◽  
Enriqueta Ochoa-Mangado ◽  
María Jesús Pérez-Elías ◽  
Enrique Baca-García ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Treatment Adherence ◽  
Antiretroviral Treatment ◽  
Case Control Study ◽  
Case Control ◽  
People Living With Hiv ◽  
Antiretroviral Treatment Adherence ◽  
Living With Hiv ◽  
Control Study

scholarly journals Antiretroviral Treatment Adherence Rate and Associated Factors among People Living with HIV in Dubti Hospital, Afar Regional State, East Ethiopia

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Bekele Belayihun ◽  
Rahma Negus
Keyword(s):  
Antiretroviral Therapy ◽  
Treatment Adherence ◽  
Associated Factors ◽  
Antiretroviral Treatment ◽  
Multivariable Analysis ◽  
Adherence Rate ◽  
People Living With Hiv ◽  
Cross Sectional ◽  
Antiretroviral Treatment Adherence ◽  
Living With Hiv

Introduction. Antiretroviral Therapy has transformed HIV infection into a chronic manageable disease; it requires near perfect adherence rates (as high as 95%). In this study, we assessed antiretroviral treatment adherence rate and associated factors among people living with HIV in Dubti Hospital. Methods. A retrospective cross-sectional study design was conducted within February 1–30, 2014. All HIV-infected patients above the age of 18 years who took first line Antiretroviral Therapy were eligible for inclusion of the study. Adherence Scale was used for labeling patients as adherent or nonadherent. All HIV-infected patients record data were collected from the medical records, entered, and analyzed using Epi Info 7 and SPSS Version 20. Multivariable analysis was used to identify the relative effect of explanatory variables on low adherence rate. Results. A total of 370 patients aged 18 years and above, who started ART, were included in this study. The self-reported adherence rate of the patient on ART was 81.1%. Independent predictors of adherence were treatment duration. Conclusion. Adherence rate was associated with time to ART. That is, the longer they were on ART, the lesser they adhered.

scholarly journals Determinants of Tuberculosis Among HIV Infected Adults in Horro Guduru Wollega Zone, West Ethiopia: A Facility-Based Case-Control Study

2020 ◽  
Author(s):  
Zelalem Belay Adugna ◽  
Belachew Etana Tolessa ◽  
Mekdes Tigistu Yilma
Keyword(s):  
Protective Effect ◽  
Case Control Study ◽  
Statistical Significance ◽  
Case Control ◽  
People Living With Hiv ◽  
Factors Associated ◽  
The Past ◽  
Living With Hiv ◽  
Control Study ◽  
Hiv Aids

Abstract Background: Tuberculosis is a contagious air born disease caused by Mycobacterium tuberculosis species and the leading causes of morbidity and mortality among people living with HIV/AIDS worldwide. Globally, it causes ill-health among millions of people living with HIV/AIDS each year. Objective: To identify determinants of Tuberculosis among HIV infected adults in public health facilities, in Horro Guduru Wollega Zone, 2019. Methods: Unmatched case-control study was conducted among 127 cases and 255 controls which were selected using systematic random sampling technique. Data were collected by record review and through face to face interview. Then, analysis was done using SPSS version 25.To identify determinants of tuberculosis multivariable logistic regression was employed. Adjusted odds ratio was calculated with 95 % CI to show strength of association and P-value < 0.05 was used to declare statistical significance.Results: - A total of 127 cases and 255 controls were participated into the study with 97.2% response rate. Aged ≥35 years [ AOR= 2.63, 95% CI(1.29,5.36)], alcohol consumption [AOR=3.34,95%CI(1.68,6.99)], Having CD4 cells <200 [AOR=3.67, 95% CI (1.5, 9.1)], Having Haemoglobin <11g/dl [AOR=3.77, 95%CI(1.84,7.72)], Imprisoned in the past 2 years [AOR=4.22, 95%CI(1.56, 11.37)], Living with TB patients in the same house [AOR=14.97, 95% CI(1.99, 21.63)] were factors associated with TB among HIV infected adults. Importantly, using Cotrimoxazole prophylaxis [AOR=0.193, 95% CI(0.81,0.46)] had a protective effect from acquiring TB. Conclusion and Recommendation: Being in old age, alcohol use, Chewing khat, Having CD4cells <200, Advanced WHO clinical stage, Hgb <11g/dl, Imprisoned in the past 2 years, History of previous TB and living with TB patients in the same house were factors associated with TB/HIV co-infection. Using Cotrimoxazole had a protective effect from acquiring TB/HIV co-infection. For most of these determinants interventions can be made at individual and institutional levels, whereas, some factors need societal level integrations.

scholarly journals Vulnerability factors associated with HIV/AIDS hospitalizations: a case-control study

2020 ◽  
Vol 73 (3) ◽  
Author(s):  
Livia Maria Lopes ◽  
Rubia Laine de Paula Andrade ◽  
Tiemi Arakawa ◽  
Gabriela Tavares Magnabosco ◽  
Maria Ines Battistella Nemes ◽  
...  
Keyword(s):  
Protective Factor ◽  
Case Control Study ◽  
Conditional Logistic Regression ◽  
Homeless People ◽  
Case Control ◽  
People Living With Hiv ◽  
Living With Hiv ◽  
And Control ◽  
Control Study ◽  
Hiv Aids

ABSTRACT Objectives: to identify the association between HIV/AIDS hospitalizations and factors that integrate individual, social, and programmatic vulnerabilities. Methods: a case-control study conducted in 2014 in a municipality in the state of São Paulo. “Cases” included people living with HIV (PLHIV) hospitalized and “control” those who were outpatients. Interviews were conducted using a tool with sociodemographic variables, clinical characteristics and other vulnerabilities. Data were analyzed by conditional logistic regression. Results: fifty-six cases and 112 control participated. Risk factors for HIV hospitalization were: unemployed and retired individuals; homeless people; non-antiretroviral users; individuals who did not regularly attend returns. Access to social workers was a protective factor for hospitalization. Conclusions: this research contributed to measure the social, individual and programmatic vulnerabilities that interfere with HIV worsening and, consequently, unfavorable outcome such as hospitalization.

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