Change in Viral Load Count and Its Predictors Among Unsuppressed Viral Load Patients Receiving an Enhanced Adherence Counseling Intervention at Three Hospitals in Northern Ethiopia: An Exploratory Retrospective Follow-Up Study
Gedefaw Diress,1 Melese Linger2 1Department of Public Health, College of Health Sciences, Woldia University, Woldia, Ethiopia; 2Department of Midwifery, College of Health Sciences, Woldia University, Woldia, EthiopiaCorrespondence: Gedefaw Diress Department of Public HealthCollege of Health Sciences...
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| Formato: | article |
| Lenguaje: | EN |
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Dove Medical Press
2020
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| Acceso en línea: | https://doaj.org/article/c969b0ec6a504ccda448afb8a37eef84 |
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| Sumario: | Gedefaw Diress,1 Melese Linger2 1Department of Public Health, College of Health Sciences, Woldia University, Woldia, Ethiopia; 2Department of Midwifery, College of Health Sciences, Woldia University, Woldia, EthiopiaCorrespondence: Gedefaw Diress Department of Public HealthCollege of Health Sciences, Woldia University, Woldia 400, EthiopiaTel +251913756945Email gedefawdiress@gmail.comBackground: Enhanced adherence counseling (EAC) is an interventional program that provides targeted adherence counseling for unsuppressed viral load people living with HIV who are receiving antiretroviral therapy before diagnosing treatment failure. However, there is a lack of evidence on change in viral load count among patients receiving EAC intervention. Therefore, this study aimed to assess change in viral load count and its predictors among people living with HIV (PLHIV) in northeast Ethiopia.Methods: A hospital-based retrospective follow-up study was conducted on 235 randomly selected patients with unsuppressed viral load who started EAC sessions between 2016 and 2019 at three governmental hospitals in the northern part of Ethiopia. Viral load count and patient individual factors were assessed at EAC program enrollment and viral load counts repeated at the end of EAC session. The main outcome variable was a change in viral load count during the EAC session period. A paired sample t-test was used to determine the mean difference in viral load count before and after EAC intervention. Linear mixed-effects models were used to assess the effect of selected factors on viral load count change.Results: Based on the paired sample t-test, there was a significant mean difference in viral load count before and after EAC intervention (mean difference=16,904, (95% CI: 9986– 23,821; p-value< 0.001). The multivariable linear mixed-effects regression analysis showed that young age (β= 0.03; 95% CI: 0.01, 0.14), urban residence (β= − 0.55; 95% CI: − 0.63, − 0.34), CD4 count of 201– 500 cells/mm3 (β= − 0.67; 95% CI: − 0.87, − 0.43) and long duration on ART (β= − 0.01; 95% CI: − 0.01, − 0.02) were associated with the decline in viral load count.Conclusion: We detected a substantial decline in viral load count among patients receiving an EAC intervention. Young age, urban residence, CD4 count of 201– 500 cells/mm3 and long duration on ART were the positive predictors of viral load suppression.Keywords: adherence, anti-retroviral therapy, HIV, viral load |
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