Thursday, April 7, 2016

Factors Influencing the Uptake of Voluntary HIV Counseling & Testing in Rural Ethiopia

Background
Voluntary counseling and testing (VCT) has been one of the key policy responses to the HIV/AIDS epidemic in Ethiopia. However, the utilization of VCT has been low in the rural areas of the country. Understanding factors influencing the utilization of VCT provides information for the design of context based appropriate strategies that aim to improve utilization. This study examined the effects of socio-demographic and behavioral factors, and health service characteristics on the uptake of VCT among rural adults in Ethiopian.

Methods/design
This study was designed as a cross sectional study. Data from 11,919 adults (6278 women aged 15–49 years and 5641 men aged 15–59 years) residing in rural areas of Ethiopia who participated in a national health extension program evaluation were used for this study. The participants were selected from ten administrative regions using stratified multi-stage cluster sampling. Multivariate logistic regression analysis was performed accounting for factors associated with the use of VCT service.

Results
Overall, men (28 %) were relatively more likely to get tested for HIV than women (23.7 %) through VCT. Rural men and women who were young and better educated, who perceived having small risk of HIV infection, who had comprehensive knowledge, no stigmatization attitude and discussed about HIV/AIDS with their partner, and model-family were more likely to undergone VCT. Regional state was also strongly associated with VCT utilization in both men and women. Rural women who belonged to households with higher socio-economic status, non-farming occupation, female-headed household and located near health facility, and who visited health extension workers and participated in community conversation were more likely to use VCT. Among men, agrarian lifestyle was associated with VCT use.

Conclusions
Utilization of VCT in the rural communities is low, and socio-economic, behavioral and health service factors influence its utilization. For increasing the utilization of VCT service in rural areas, there is a need to target the less educated, women, poor and farming families with a focus on improving knowledge and reducing HIV/AIDS related stigma. Strategy should include promoting partner and community conversations, accelerating model-family training, and using alternative modes of testing.

Background characteristics of study population by gender, rural Ethiopia, 2010
TotalWomenMen
VariablesN%N%N%
Socio-demographic variables
Overall11,919627852.7564147.3
Age group, year
15–19134211.377012.357210.1
20–24178515.0112317.966211.7
25–29219618.4135721.683914.9
30–39363530.5192130.6171430.4
40+296124.8110717.6185432.9
Marital status
Married940078.9497379.3442778.5
Never married186015.675812.1110219.6
Divorced/Widowed6515.55428.61091.9
Educational level
Never attended/<1 year693458.2438670.9254847.1
Primary283523.8118319.1165230.5
Secondary or higher183215.461910.0121322.4
Gender of household head
Female179415.1123319.756110.0
Male10,11384.8504180.4507290.0
Occupation of household head
Farmer10,68889.7559990.3508991.3
Gov't employee/merchant5694.83145.12554.6
Other5194.42914.72284.1
Religion
Orthodox474939.8249339.8225640.1
Islam412234.6217034.6195234.7
Protestant252721.2133121.3119621.3
Other4944.12704.32244.0
Socio-economic status index
Low208417.5112317.996117.1
Low-middle419235.2223335.6195934.8
Middle358630.1186329.7172330.6
High-middle172014.488414.183614.8
High3292.81702.71592.8
Settlement pattern
Pastoral/agro-pastoral172414.590914.581514.5
Agrarian10,19585.5536985.5482685.6
Region
Tigray11529.76229.95309.4
Afar3583.01913.01673.0
Amhara267722.5140922.4126822.5
Oromia285223.9146123.3139124.7
Benshangul-Gumuz6445.43305.33145.6
SNNP206317.3105216.8101117.9
Gambela11289.564910.34798.5
Dire Dawa1371.1831.3541.0
Harari1701.4931.5771.4
Somali7386.23886.23506.2
Behavioral variables
Risk partner in past 12 months
No11,69498.1617798.4551797.8
Yes2251.91011.61242.2
Self-perceived risk of HIV
No risk712859.8358157.0354762.9
Small risk11839.95739.161010.8
Moderate/great risk7085.93605.73486.2
Don’t know290024.3176428.1113620.1
Believes HIV/AIDS is fatal
No211317.7133621.377713.8
Yes980682.3494278.7486486.2
Believes HIV/AIDS can be cured
No10,32186.6545886.9486386.2
Yes159813.482013.177813.8
HIV/AIDS knowledge index
None415134.8259741.4155427.6
Low259221.7132821.2126422.4
Moderate300725.2145523.2155227.5
High216918.289814.3127122.5
HIV/AIDS stigma scale
No stigma422235.4190730.4231541.0
Low stigma204917.2102016.3102918.2
Moderate stigma300925.2167126.6133823.7
High stigma263922.1168026.895917.0
Talked with partner about HIV
No643654.0366858.4276849.1
Yes548346.0261041.6287350.9
Programmatic variables
Walking distance to HF
<=10 min951079.8501679.9449479.7
10–30 min163913.886113.777813.8
30+ minutes7706.54016.43696.5
Proactively visited HEW
No724260.8383962.5340362.2
Yes437336.7230437.5206937.8
HEW visited home
No651154.6347457.0303755.9
Yes501642.1262443.0239244.1
Source of HIV information
Never exposed120710.183313.33746.6
Only to mass media7456.33385.44077.2
Community conversations996783.6510781.4486086.2
Model-family
No11,22194.1591795.4530495.1
Yes5554.72834.62724.9
VHPs in village
No559446.9299547.7259946.1
Yes632553.1328352.3304253.9

Full article at:   http://goo.gl/mlVHQb

Center forNational Health Development in Ethiopia, Columbia University, Kebele 06, H No 447, PO Box 664 code 1250, Bole Sub City, Addis Ababa Ethiopia
The EarthInstitute, Columbia University, 475 Riverside Drive, Suite 401, New York, NY 10025 USA
College of Health Sciences, Mekelle University, PO Box 1871, Mekelle, Ethiopia




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