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      Treatment outcomes and their determinants in HIV patients on Anti-retroviral Treatment Program in selected health facilities of Kembata and Hadiya zones, Southern Nations, Nationalities and Peoples Region, Ethiopia

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      BMC Public Health
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          Abstract

          Background

          Ethiopia has been providing free Antiretroviral Treatment (ART) since 2005 for HIV/AIDS patients. ART improves survival time and quality of life of HIV patients but ART treatment outcomes might be affected by several factors. However, factors affecting treatment outcomes are poorly understood in Ethiopia. Hence, this study assesses treatment outcomes and its determinants for HIV patients on ART in selected health facilities of Kembata and Hadiya zones.

          Methods

          A retrospective cohort study was conducted on 730 adult HIV/AIDS patients who enrolled antiretroviral therapy from 2007 to 2011 in four selected health facilities of Kembata and Hadiya zones of Southern Ethiopia. Study subjects were sampled from the health facilities based on population proportion to size. Data was abstracted using data extraction format from medical records. Kaplan-Meier survival function was used to estimate survival probability. Cox proportional hazards regression model was used to identify factors associated with time to death.

          Result

          Median age of patients was 32.4 years with Inter Quartile Range (IQR) [15, 65]. The female to male ratio of the study participants’ was 1.4:1. Median CD4 count significantly increased during the last four consecutive years of follow up. A total of 92 (12.6 %) patients died, 106(14.5 %) were lost to follow-up, and 109(15 %) were transferred out. Sixty three (68 %) deaths occurred in the first 6 months of treatment. The median survival time was 25 months with IQR [9, 43]. After adjustment for confounders, WHO clinical stage IV [HR 2.42; 95 % CI, 1.19, 5.86], baseline CD4 lymphocyte counts of 201 cell/mm 3 and 350 cell/mm 3 [HR 0.20; 95 % CI; 0.09−0.43], poor regimen adherence [HR 2.70 95 % CI: 1.4096, 5.20], baseline hemoglobin level of 10gm/dl and above [HR 0.23; 95 % CI: 0.14, 0.37] and baseline functional status of bedridden [HR 3.40; 95 % CI: 1.61, 7.21] were associated with five year survival of HIV patients on ART.

          Conclusion

          All people living with HIV/AIDS should initiate ART as early as possible. Initiation of ART at the early stages of the disease, before deterioration of the functional status of the patients and before the reduction of CD4 counts and hemoglobin levels with an intensified health education on adherence to ART regimen is recommended.

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          Most cited references12

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          Scaling up of highly active antiretroviral therapy in a rural district of Malawi: an effectiveness assessment.

          The recording of outcomes from large-scale, simplified HAART (highly active antiretroviral therapy) programmes in sub-Saharan Africa is critical. We aimed to assess the effectiveness of such a programme held by Médecins Sans Frontières (MSF) in the Chiradzulu district, Malawi. We scaled up and simplified HAART in this programme since August, 2002. We analysed survival indicators, CD4 count evolution, virological response, and adherence to treatment. We included adults who all started HAART 6 months or more before the analysis. HIV-1 RNA plasma viral load and self-reported adherence were assessed on a subsample of patients, and antiretroviral resistance mutations were analysed in plasma with viral loads greater than 1000 copies per mL. Analysis was by intention to treat. Of the 1308 patients who were eligible, 827 (64%) were female, the median age was 34.9 years (IQR 29.9-41.0), and 1023 (78%) received d4T/3TC/NVP (stavudine, lamivudine, and nevirapine) as a fixed-dose combination. At baseline, 1266 individuals (97%) were HAART-naive, 357 (27%) were at WHO stage IV, 311 (33%) had a body-mass index of less than 18.5 kg/m2, and 208 (21%) had a CD4 count lower than 50 cells per muL. At follow-up (median 8.3 months, IQR 5.5-13.1), 967 (74%) were still on HAART, 243 (19%) had died, 91 (7%) were lost to follow-up, and seven (0.5%) discontinued treatment. Low body-mass index, WHO stage IV, male sex, and baseline CD4 count lower than 50 cells per muL were independent determinants of death in the first 6 months. At 12 months, the probability of individuals still in care was 0.76 (95% CI 0.73-0.78) and the median CD4 gain was 165 (IQR 67-259) cells per muL. In the cross-sectional survey (n=398), 334 (84%) had a viral load of less than 400 copies per mL. Of several indicators measuring adherence, self-reported poor adherence (<80%) in the past 4 days was the best predictor of detectable viral load (odds ratio 5.4, 95% CI 1.9-15.6). These data show that large numbers of people can rapidly benefit from antiretroviral therapy in rural resource-poor settings and strongly supports the implementation of such large-scale simplified programmes in Africa.
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              Early mortality among adults accessing a community-based antiretroviral service in South Africa: implications for programme design.

              To determine rates, risk factors and causes of death among patients accessing a community-based antiretroviral treatment (ART) programme both prior to and following initiation of treatment. All in-programme deaths were ascertained between September 2002 and March 2005 among treatment-naive patients enrolled into a prospective community-based ART cohort in Cape Town, South Africa. Of 712 patients (median CD4 cell count, 94 cells/microl), 578 (81%) started triple ART a median of 29 days after enrollment. 68 (9.5%) patients died during 563 person-years of observation. The high pretreatment mortality rate of 35.6 deaths/100 person-years [95% confidence interval (CI), 23.0-55.1) decreased to 2.5/100 person-years (95% CI, 0.9-6.6) at 1 year among those who received ART. However, within the first 90 days from enrollment, 29 of 44 (66%) deaths occurred among patients awaiting ART; these would not be identified by an on-treatment analysis. Multivariate analysis showed that risk of death (both pre-treatment and on-treatment) was independently associated with baseline CD4 cell count and World Health Organization (WHO) clinical stage; stage 4 disease was the strongest risk factor. Major attributed causes of death were wasting syndrome, tuberculosis, acute bacterial infections, malignancy and immune reconstitution disease. Most early in-programme deaths occurred among patients with advanced immunodeficiency but who had not yet started ART. Programme evaluation using on-treatment analyses greatly underestimated early mortality. This mortality would be reduced by minimizing unnecessary in-programme delays in treatment initiation and by starting ART before development of WHO stage 4 disease.
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                Author and article information

                Contributors
                +251-911-70-67-79 , wondaay@gmail.com
                afework.mulugeta@gmail.com
                wuneha@gmail.com
                rabito@tulane.edu
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                27 August 2015
                27 August 2015
                2015
                : 15
                : 826
                Affiliations
                [ ]School of Public Health, Addis Ababa University, P.O. Box 9086, Addis Ababa, Ethiopia
                [ ]Department of Public Health, Mekelle University, Mekelle, Ethiopia
                [ ]Department of Public Health, Tulane University, New Orleans, LA USA
                Article
                2176
                10.1186/s12889-015-2176-5
                4549910
                25563658
                7e444c47-d5c7-4c0c-b890-2e6e1f4be86f
                © Ayele et al. 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 4 February 2014
                : 21 August 2015
                Categories
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                Custom metadata
                © The Author(s) 2015

                Public health
                Public health

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