Statistical Analysis on Correlates of HIV Testing Outcomes Based on Ethiopia Demographic and Health Survey (EDHS) 2011 Data

Desalegn Dargasso Danna; Abebe Sorsa Badacho; Ayele Taye

doi:doi:10.11648/j.sjph.20180605.11

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Statistical Analysis on Correlates of HIV Testing Outcomes Based on Ethiopia Demographic and Health Survey (EDHS) 2011 Data

Desalegn Dargasso Danna, Abebe Sorsa Badacho, Ayele Taye

Published in Science Journal of Public Health (Volume 6, Issue 5)

Received: 16 February 2018 Accepted: 16 October 2018 Published: 27 October 2018

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Abstract

Voluntary Counseling and Testing (VCT) is the key entry point to prevention, care, and treatment and support services. The study aimed at describing the impacts of some pre-test counseling session factors on the status of HIV/AIDS. The data were taken from Ethiopia Demographic and Health Survey (EDHS 2011) conducted in 2011. For modeling purpose logistic regression was used and data were analyzed using SPSS version 20.00. Among 12,986 individuals encompassed in the study, 6,297 (48.5%) were male. The prevalence of HIV/AIDS infection among Voluntary Counseling and Testing (VCT ) individuals was estimated to be 1.8% and varied by demographic, socio-economic and risk behavior characteristics of individuals. Determinant factors driving the prevalence of HIV among populations and wide variations in HIV prevalence exist across regions; highest in Gambela (7.5%) and Addis Ababa (4.5%). Sex, age at first sex, region, wealth index, educational level attained and occupation status were significant determinants of HIV testing. The odds of being HIV infected for female individual was about 36.9% (95% C.I. 1.043-1.796). The value of the odds for age at first sex indicates that the odds of age at first sex being HIV infected for aged greater than or equal to 35 years have had 32.7% more than those in the age group less than or equal to 18 years and the odds of HIV infected for an individual in the age category 19-34 were 83.1% less than an individual in the age group ≤ years (OR = 0.831, C.I. = .534-1.294). Individuals found in Gambella region were 4.5 times HIV positive than Tigray region individuals (OR = 4.460, P = 0.000, C.I. = 2.457-8.098). Clients whose wealth index is middle were about 4.041 times more likely HIV infected than poor clients (OR = 4.041, P = 0.000, C.I. = 2.556-6.389). Urban individuals are nearly 3.5 times likely HIV positive than rural individuals (OR = 3.514, P = 0.000). High risk behaviour and low socio-economic position are found to be significantly related with HIV infection in Ethiopia.

Published in	Science Journal of Public Health (Volume 6, Issue 5)
DOI	10.11648/j.sjph.20180605.11
Page(s)	120-126
Creative Commons	This is an Open Access article, 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 or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

HIV Testing, Outcomes, VCT Services, Logistic Regression

References

[1]	UNAIDS/WHO (2007). Global Summary of the AIDS Epidemic Update.
[2]	Addis standard: Analysis: HIV/AIDS is surging in Ethiopia, again / October 6, 2017.
[3]	Ministry of Health (2007). Federal HIV/AIDS in Ethiopia. Disease Prevention and Control Department, 6thEdition: Addis Ababa, Ethiopia.
[4]	Godif M, Assefa H, Alemayehu M, Terefe M (2015) Factors Associated with HIV Counseling and Testing among Males and Females in Ethiopia: Evidence from Ethiopian Demographic and Health Survey Data. J AIDS Clin Res 6: 429. doi:10.4172/2155-6113.1000429.
[5]	A Sathiya Susuman. HIV/AIDS in Ethiopia: Health View; Journal of Asian and African studies 1- 12 March 2015; University of the Western Cape DOI: 10.1177/0021909615570957.
[6]	FMOH (2007). Federal HIV/AIDS Prevention and Control Office. Guidelines for HIV councelling and Testing in Ethiopia.
[7]	The 2016 Ethiopia Demographic and Health Survey (2016 EDHS) was implemented by the Central Statistical. Agency (CSA) from January 18, 2016, to June 27.
[8]	Ethiopia; Country/Regional Operational Plan (COP/ROP) 2017. Strategic Direction Summary. April 21, 2017.
[9]	Central Statistical Agency (Ethiopia), Macro ORC (2012) Ethiopia Demographic and Health Survey 2011. Addis Ababa, Ethiopia.
[10]	Demeke Ertiro (2010). Analysis of HIV Status in Relation to Some Demographic and HIV Related Risk Behavior Factors: The Case of OSSA Free Standing VCT Center in Urban Hawassa. MSc thesis, Statistics Department, Hawassa University, Ethiopia.
[11]	Melaku Dejene (2012). Modelling HIV/AIDS Epidemics in Ethiopia by Incorporating the Effects of ART and Population Change Over Time. MSc thesis, Statistics Department, Hawassa University, Ethiopia.
[12]	Hosmer, D. W. and Leme show, S. (1989): Applied Logistic Regression, NewYork: John Wiley.

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APA Style

Desalegn Dargasso Danna, Abebe Sorsa Badacho, Ayele Taye. (2018). Statistical Analysis on Correlates of HIV Testing Outcomes Based on Ethiopia Demographic and Health Survey (EDHS) 2011 Data. Science Journal of Public Health, 6(5), 120-126. https://doi.org/10.11648/j.sjph.20180605.11

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ACS Style

Desalegn Dargasso Danna; Abebe Sorsa Badacho; Ayele Taye. Statistical Analysis on Correlates of HIV Testing Outcomes Based on Ethiopia Demographic and Health Survey (EDHS) 2011 Data. Sci. J. Public Health 2018, 6(5), 120-126. doi: 10.11648/j.sjph.20180605.11

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AMA Style

Desalegn Dargasso Danna, Abebe Sorsa Badacho, Ayele Taye. Statistical Analysis on Correlates of HIV Testing Outcomes Based on Ethiopia Demographic and Health Survey (EDHS) 2011 Data. Sci J Public Health. 2018;6(5):120-126. doi: 10.11648/j.sjph.20180605.11

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@article{10.11648/j.sjph.20180605.11,
  author = {Desalegn Dargasso Danna and Abebe Sorsa Badacho and Ayele Taye},
  title = {Statistical Analysis on Correlates of HIV Testing Outcomes Based on Ethiopia Demographic and Health Survey (EDHS) 2011 Data},
  journal = {Science Journal of Public Health},
  volume = {6},
  number = {5},
  pages = {120-126},
  doi = {10.11648/j.sjph.20180605.11},
  url = {https://doi.org/10.11648/j.sjph.20180605.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20180605.11},
  abstract = {Voluntary Counseling and Testing (VCT) is the key entry point to prevention, care, and treatment and support services. The study aimed at describing the impacts of some pre-test counseling session factors on the status of HIV/AIDS. The data were taken from Ethiopia Demographic and Health Survey (EDHS 2011) conducted in 2011. For modeling purpose logistic regression was used and data were analyzed using SPSS version 20.00. Among 12,986 individuals encompassed in the study, 6,297 (48.5%) were male. The prevalence of HIV/AIDS infection among Voluntary Counseling and Testing (VCT ) individuals was estimated to be 1.8% and varied by demographic, socio-economic and risk behavior characteristics of individuals. Determinant factors driving the prevalence of HIV among populations and wide variations in HIV prevalence exist across regions; highest in Gambela (7.5%) and Addis Ababa (4.5%). Sex, age at first sex, region, wealth index, educational level attained and occupation status were significant determinants of HIV testing. The odds of being HIV infected for female individual was about 36.9% (95% C.I. 1.043-1.796). The value of the odds for age at first sex indicates that the odds of age at first sex being HIV infected for aged greater than or equal to 35 years have had 32.7% more than those in the age group less than or equal to 18 years  and the odds of HIV infected for an individual in the age category 19-34 were 83.1% less than an individual in the age group ≤ years (OR = 0.831, C.I. = .534-1.294). Individuals found in Gambella region were 4.5 times HIV positive than Tigray region individuals (OR = 4.460, P = 0.000, C.I. = 2.457-8.098). Clients whose wealth index is middle were about 4.041 times more likely HIV infected than poor clients (OR = 4.041, P = 0.000, C.I. = 2.556-6.389). Urban individuals are nearly 3.5 times likely HIV positive than rural individuals (OR = 3.514, P = 0.000). High risk behaviour and low socio-economic position are found to be significantly related with HIV infection in Ethiopia.},
 year = {2018}
}

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TY - JOUR
T1 - Statistical Analysis on Correlates of HIV Testing Outcomes Based on Ethiopia Demographic and Health Survey (EDHS) 2011 Data
AU - Desalegn Dargasso Danna
AU - Abebe Sorsa Badacho
AU - Ayele Taye
Y1 - 2018/10/27
PY - 2018
N1 - https://doi.org/10.11648/j.sjph.20180605.11
DO - 10.11648/j.sjph.20180605.11
T2 - Science Journal of Public Health
JF - Science Journal of Public Health
JO - Science Journal of Public Health
SP - 120
EP - 126
PB - Science Publishing Group
SN - 2328-7950
UR - https://doi.org/10.11648/j.sjph.20180605.11
AB - Voluntary Counseling and Testing (VCT) is the key entry point to prevention, care, and treatment and support services. The study aimed at describing the impacts of some pre-test counseling session factors on the status of HIV/AIDS. The data were taken from Ethiopia Demographic and Health Survey (EDHS 2011) conducted in 2011. For modeling purpose logistic regression was used and data were analyzed using SPSS version 20.00. Among 12,986 individuals encompassed in the study, 6,297 (48.5%) were male. The prevalence of HIV/AIDS infection among Voluntary Counseling and Testing (VCT ) individuals was estimated to be 1.8% and varied by demographic, socio-economic and risk behavior characteristics of individuals. Determinant factors driving the prevalence of HIV among populations and wide variations in HIV prevalence exist across regions; highest in Gambela (7.5%) and Addis Ababa (4.5%). Sex, age at first sex, region, wealth index, educational level attained and occupation status were significant determinants of HIV testing. The odds of being HIV infected for female individual was about 36.9% (95% C.I. 1.043-1.796). The value of the odds for age at first sex indicates that the odds of age at first sex being HIV infected for aged greater than or equal to 35 years have had 32.7% more than those in the age group less than or equal to 18 years and the odds of HIV infected for an individual in the age category 19-34 were 83.1% less than an individual in the age group ≤ years (OR = 0.831, C.I. = .534-1.294). Individuals found in Gambella region were 4.5 times HIV positive than Tigray region individuals (OR = 4.460, P = 0.000, C.I. = 2.457-8.098). Clients whose wealth index is middle were about 4.041 times more likely HIV infected than poor clients (OR = 4.041, P = 0.000, C.I. = 2.556-6.389). Urban individuals are nearly 3.5 times likely HIV positive than rural individuals (OR = 3.514, P = 0.000). High risk behaviour and low socio-economic position are found to be significantly related with HIV infection in Ethiopia.
VL - 6
IS - 5
ER -

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Author Information

Desalegn Dargasso Danna

Department of Statistics, College of natural and computational sciences, Wolaita Sodo University, Sodo, Ethiopia
Abebe Sorsa Badacho

School of Public Health, College of Health Sciences and Medicine, Wolaita Sodo University, Sodo, Ethiopia
Ayele Taye

Department of statistics, College of Natural Sciences, University of Gonder, Gonder, Ethiopia

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APA Style

Desalegn Dargasso Danna, Abebe Sorsa Badacho, Ayele Taye. (2018). Statistical Analysis on Correlates of HIV Testing Outcomes Based on Ethiopia Demographic and Health Survey (EDHS) 2011 Data. Science Journal of Public Health, 6(5), 120-126. https://doi.org/10.11648/j.sjph.20180605.11

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ACS Style

Desalegn Dargasso Danna; Abebe Sorsa Badacho; Ayele Taye. Statistical Analysis on Correlates of HIV Testing Outcomes Based on Ethiopia Demographic and Health Survey (EDHS) 2011 Data. Sci. J. Public Health 2018, 6(5), 120-126. doi: 10.11648/j.sjph.20180605.11

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AMA Style

Desalegn Dargasso Danna, Abebe Sorsa Badacho, Ayele Taye. Statistical Analysis on Correlates of HIV Testing Outcomes Based on Ethiopia Demographic and Health Survey (EDHS) 2011 Data. Sci J Public Health. 2018;6(5):120-126. doi: 10.11648/j.sjph.20180605.11

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@article{10.11648/j.sjph.20180605.11,
  author = {Desalegn Dargasso Danna and Abebe Sorsa Badacho and Ayele Taye},
  title = {Statistical Analysis on Correlates of HIV Testing Outcomes Based on Ethiopia Demographic and Health Survey (EDHS) 2011 Data},
  journal = {Science Journal of Public Health},
  volume = {6},
  number = {5},
  pages = {120-126},
  doi = {10.11648/j.sjph.20180605.11},
  url = {https://doi.org/10.11648/j.sjph.20180605.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20180605.11},
  abstract = {Voluntary Counseling and Testing (VCT) is the key entry point to prevention, care, and treatment and support services. The study aimed at describing the impacts of some pre-test counseling session factors on the status of HIV/AIDS. The data were taken from Ethiopia Demographic and Health Survey (EDHS 2011) conducted in 2011. For modeling purpose logistic regression was used and data were analyzed using SPSS version 20.00. Among 12,986 individuals encompassed in the study, 6,297 (48.5%) were male. The prevalence of HIV/AIDS infection among Voluntary Counseling and Testing (VCT ) individuals was estimated to be 1.8% and varied by demographic, socio-economic and risk behavior characteristics of individuals. Determinant factors driving the prevalence of HIV among populations and wide variations in HIV prevalence exist across regions; highest in Gambela (7.5%) and Addis Ababa (4.5%). Sex, age at first sex, region, wealth index, educational level attained and occupation status were significant determinants of HIV testing. The odds of being HIV infected for female individual was about 36.9% (95% C.I. 1.043-1.796). The value of the odds for age at first sex indicates that the odds of age at first sex being HIV infected for aged greater than or equal to 35 years have had 32.7% more than those in the age group less than or equal to 18 years  and the odds of HIV infected for an individual in the age category 19-34 were 83.1% less than an individual in the age group ≤ years (OR = 0.831, C.I. = .534-1.294). Individuals found in Gambella region were 4.5 times HIV positive than Tigray region individuals (OR = 4.460, P = 0.000, C.I. = 2.457-8.098). Clients whose wealth index is middle were about 4.041 times more likely HIV infected than poor clients (OR = 4.041, P = 0.000, C.I. = 2.556-6.389). Urban individuals are nearly 3.5 times likely HIV positive than rural individuals (OR = 3.514, P = 0.000). High risk behaviour and low socio-economic position are found to be significantly related with HIV infection in Ethiopia.},
 year = {2018}
}

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