Husband-Wife Decision Making Dynamics and Modern Contraceptives Method Use Type in Ghana
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University of Ghana
Abstract
The literature suggests an important association between husband-wife decision making and
contraceptive use. Decision making in every marital union is very crucial because it helps
to strengthen the bond between couples as negotiations can be made on delicate issues, such
as those pertaining to fertility preference, the type of modern contraceptive method to use,
and other reproductive health issues that affect the overall health and wellbeing of the
woman. The main objective of the study was to describe the relationship between husbandwife
decision making dynamics on the type of modern contraceptive methods used in
Ghana. The study used the 2014 Ghana Demographic and Health Survey (GDHS) women’s
file dataset and the weighted sample consisted of 1,164 married or cohabiting women who
were currently using a modern method of contraception.
Husband-wife decision making and the type of modern contraceptive method used was
investigated by using cross tabulations and binary logistic regression techniques to assess
their associations. At the multivariate level, the relationship between decision making and
the type of modern contraceptive method used was analyzed while controlling for socioeconomic
and demographic characteristics of the woman using binary logistic regression.
Decision making was found to be a statistically significant predictor of the type of modern
contraceptive method used as those making joint decisions were more likely to use longacting
and permanent methods of contraception. A woman’s age, ethnicity, wealth quintile,
partner’s age and education showed significant associations with the type of contraceptive
method used. Findings from the study inform recommendations to improve joint decision
making among couples. There is also a need for further qualitative research to explore the
details of husband-wife decision making and how it influences their type of modern
contraceptive method used.
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MA. Population Studies