Tag Archives: Reproductive Age

Modern Contraceptive Methods Utilization Status and Associated Determinants among Women within Reproductive Age Group in Dire Dawa Administration, Focusing On Hormonal Contraceptive Method (Published)

The study was intended to asses Utilization status of Reversible Modern Contraceptive Methods and associated Determinants among Women within Reproductive Age Category in Dire Dawa Administration held from the year 2015 to the year 2017; further, deals with hormonal contraceptive methods and investigate its influencing determinants related with both ever used and being used by the parent population. Multi-stage stratified simple random sampling methods were considered to draw a well representative sample of Modern Contraceptive Methods (MCM) user women in Dire Dawa Administration. Thus, the target population was subdivided into two broad strata: stratum1r (MCM user women in Rural Dire Dawa Administration) which further subdivided into five randomly selected kebeles or strata andStratum2u (MCM user women in Urban Dire Dawa Administration) which also subdivided into five randomly selected kebeles or strata and these two strata comprise the target beneficiaries. The data were analyzed by:-Descriptive statistics, Bi-variate & binary logistic regression model. Thus, firstly, from the descriptive statistics result the most widely utilized and the most widely discontinued Modern Contraceptive Methods by the respondent women were implant and Inject able contraceptive methods respectively. Secondly, from the results of the classical binary logistic regression analysis, the predictor variables that are identified to have a significant impact on utilization status of MCM for rural respondent women are :age, educational level, family size, interest to use, distance and cultural barrier at the 5% level of significance Thirdly, the seven significant determinants of MCM utilization status of respondent women in urban are: age, marital status, family size, number of children, confidence, comfort ability and training and counseling at the 5% level of significance. Firstly, Based on the results we conclude that, most of the respondent women discontinue modern contraceptive methods utilization due to the side effects of hormonal contraceptive methods i.e.,. 55.7% in rural and 56.9% in urban of the study area. Secondly, age, education, family size, interest to use, distance, and cultural barrier are among the factors which have a relationship with the use of modern contraceptive methods in rural Dire Dawa Administration. Whereas; confidence, comfort ability, training and counseling, age, marital status, family size, and number of children are among the factors which have relationship with the use of modern contraceptive methods in urban Dire Dawa Administration.

 

Keywords: LIIP, Reproductive Age, and binary logistic regression model., hormonal contraceptive methods, modern contraceptive methods, short term and long term acting family planning methods

Family Variables and Health of Women of Reproductive Age in University of Calabar Teaching Hospital in Cross River State, Nigeria (Published)

The study investigated family variables and health of women of reproductive Age in University of Calabar Teaching Hospital of Cross River State, Nigeria. To achieve these objectives, two null hypotheses were formulated from the independent variable namely; family size and educational background to guide the study while relevant literatures were empirically and theoretical reviewed. Anderson behavioural model and quality and quantity tradeoff theory were used as the theoretical background. Using the survey design and the purposive sampling technique, 100 questionnaires were administered on 50 respondents each from women of reproductive age seeking ante-natal and post-natal healthcare services in UCTH. Using the Pearson Product Moment Correlation Statistical Technique to run the hypothesis, the findings revealed that there is a significant relationship between family variables and health of women of reproductive age and that educational background significantly influences the health of women of reproductive age. It was therefore recommended amongst others that, health policy makers should design and strengthen better family reduction programmes that would be well targeted and result in a remarkable decrease in maternal health challenges.

Keywords: Family Variables, Health Policy, HealthCare Services, Reproductive Age