UNMET NEED FOR MODERN CONTRACEPTION AMONG CURRENTLY MARRIED WOMEN OF REPRODUCTIVE AGE IN ABOBO DISTRICT, AGNUWA ZONE, GAMBELLA REGION, SOUTH-WEST ETHIOPIA

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dc.contributor.author tarekegn, Abdissa
dc.contributor.author assefa, Nega Major Advisor (PhD)
dc.contributor.author dingeta, Tariku Co Advisor Mr.
dc.date.accessioned 2018-01-28T17:43:50Z
dc.date.available 2018-01-28T17:43:50Z
dc.date.issued 2018-06
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/3244
dc.description 80 en_US
dc.description.abstract Background: Unmet need is a valuable indicator for family planning programs at all level because it shows how well they are achieving a key mission meeting the population’s felt need for family planning. .In Gambella, unmet need for modern contraception is very much higher than the national prevalence in spite of having the smallest population number in the country but the level of unmet need for modern contraception in Abobo district is not known so far by any survey or scientific study as far as researcher’s knowledge is concerned. The study will be very helpful to know the level of unmet need modern contraception at district level in addition this research may give us good insight about factor associated to unmet need for modern contraception. Objectives: To determine the Magnitude of unmet need for modern contraception and associated factor among currently married women of reproductive age in Abobo district Gambella region, South West Ethiopia. Methods: A community based cross sectional study design and multi-stage sampling method was used to select 617 currently married women of reproductive age in Abobo district, Gambella region southwest Ethiopia. Pretested and structured questionnaires were used to collect data. The collected data were coded and double entered into Epi Data 3.1 for analysis.The entered data were exported to SPSS 22.0. Binary logistic regression analysis was used to compute crude odds ratio with its 95% confidence interval to test the associations between dependent and independent variables. Then variables found to be P<0.25 in the bivariate analysis taken as candidate for multivariable analysis. A level of significance was declared at p ≤ 0.05 with a confidence interval of 95% the final result is presented in form of text, tables and figures. Result: The overall Magnitude of unmet need for modern contraception in the district was 18%, 95% CI: (15.2, 21.1) with 14.5% unmet need for spacing birth interval and 3.5% unmet need for limiting birth. In multivariable logistic regression analysis having primary, secondary and above education [AOR=1.875, 95% CI: (1.017-3.455), having previous history of abortion [AOR= 2.317; 95% CI :( 1.167, 4.602)], 5 and more pregnancy experience [AOR=2.398, 95% CI :( 1.201, 4.788)]having high knowledge about modern contraception [ AOR=2.264 ; 95% CI:(1.306 , 3.924)], having exposure to family planning message[ AOR= 2.317, 95% CI: (1.167, 4.602)] , being from rich wealth terciles AOR=2.565; 95% CI: (1.35, 4.86)] were associated with high unmet need for modern contraception. While, deciding number of children [AOR=0.238, 95% CI: (0.133, 0.429)], was found to be associated with low unmet need for modern contraception. Conclusion: About one fifth of the study participant has unmet need for modern contraception and women have more unmet need for spacing. Educational status of women, previous history of abortion, exposure to family planning message, knowledge of contraceptive method, wealth index and Five and more number of pregnancy experience were found to be factors associated with the high unmet need of Modern contraception. While deciding number of children was found to be factors associated with low unmet need for modern contraception en_US
dc.description.sponsorship Haramaya university en_US
dc.language.iso en_US en_US
dc.publisher Haramaya university en_US
dc.subject Abobo district, Modern contraception, Limiting; Spacing, Unmet need en_US
dc.title UNMET NEED FOR MODERN CONTRACEPTION AMONG CURRENTLY MARRIED WOMEN OF REPRODUCTIVE AGE IN ABOBO DISTRICT, AGNUWA ZONE, GAMBELLA REGION, SOUTH-WEST ETHIOPIA en_US
dc.type Thesis en_US


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