Measuring contraceptive use in a displacement-affected population using the Multiple Indicator Cluster Survey: The
1Department of Methodology, London School of Economics and Political Science, Houghton Street, London WC2A 2AE, United Kingdom.
Abstract:
Access to safe, effective, affordable, and acceptable contraceptive methods of choice is a basic right for displaced people. Yet displaced people are typically invisible in national sample surveys on population health, and quantitative evidence on their reproductive health outcomes is limited. This study focuses on the case of Iraq, a country with widespread displacement and where contraceptive use is a government policy priority. Using displacement screening questions in the Iraq 2018 Multiple Indicator Cluster Survey questionnaires, I construct two displacement-related indicators based on reason for last move and previous household residence. Descriptive statistics and binary logistic regression are used to test associations between modern contraceptive use and displacement, demographic, and socioeconomic factors. Controlling for the variables in the models, factors significantly associated with modern contraceptive use among married women aged 15-49 in Iraq are Federal Iraq region (reference Kurdish Region of Iraq, OR 1.78), upper secondary and primary education (reference pre-primary or no education, OR 1.50 and 1.20, respectively), parity, age, and exposure to television. The association between displacement (reason for last move) and modern contraceptive use significantly depends on a woman's level of education and whether they live in an urban or rural area. Women who previously lived in a camp are almost half as likely to use modern contraception compared to other previous residence types. This paper highlights the methodological potential and substantive value of using national household surveys to analyse reproductive health outcomes through a displacement lens. It also critically examines the limitations of these data and measures, drawing on total survey error and feminist theory.
More Related Videos
Related Concept Videos
Birth Control Methods
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Odds Ratio


