Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2254
Title: Modelling the Use of Traditional Family Planning by Women in Sri Lanka
Authors: Peiris, T.S.G.
Karunarathne, H.V.V.M.P
Keywords: Binary Logistic Regression
Education Level
Odd Ratio
Traditional Family Planning Methods
Issue Date: 1-Dec-2020
Publisher: Faculty of Humanities and Sciences (FHS) of the Sri Lanka Institute of Information Technology (SLIIT) Malabe
Series/Report no.: Volume 1 Issue (1);Page 103-112
Abstract: Family planning plays a crucial role in enhancing the health of the mother and the child. Contraceptives are used by most women in the reproductive age span (15- 49 years). Sri Lanka has been named as one of the countries with high usage of traditional family planning (TFP) methods than the other Asian countries. However, the reasons for that have not been investigated. Therefore, this study is carried out to identify the significant factors influencing on usage of TFP by using data from Sri Lanka Demographic and Health Survey in 2016 with a sample size of 10835. The percentages of women using TFP is 16.3% compared to 83.7% of using modern family planning (MFP). Among TFP users, the withdrawal method and the rhythm method are 35% and 57% respectively. The balance 8% uses both methods. A binary logistic regression model was developed to capture the factors influencing the use of TFP by considering all variables simultaneously. The fitted model was invariant on the type of selection method and selection criteria. The overall predictive power is 82.9%. The knowledge on family planning, having advice from public health midwives, attendance to well-women clinics, religion, ethnicity, decision to use family planning, husband’s occupation, women’s age, women’s occupation, women’s education level, number of children, and wealth quantile are the significantly associated factors with the usage of TFP. The odds of the usage of TFP among the women having no children and women having 1 or 2 children are respectively 1.4 and 4.0 times higher than the women having 3 or more children. The factors identified are geared towards providing robust evidence based on data driven decision making (DDDM) and therefore the key population groups in need of contraceptive services can be targeted more effectively and efficiently. Organizing counselling programmes and promotions on family planning and conducting media awareness programmes to avoid some myths on modern contraceptives can be suggested.
URI: http://rda.sliit.lk/handle/123456789/2254
ISSN: E-ISSN: 2820-2430
Appears in Collections:Research Papers
SLIIT Journal of Humanities & Sciences (SJHS)

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