BACKGROUND: Unmet family planning is one of the common causes for low contraceptive prevalence rates in developing countries, including Ethiopia. Rapid urbanization had profound effect on population health, however, little is known about the unmet need of family planning in settings where there was increased industrializations and internal migrations in Ethiopia. This study aims to determine the unmet need for family planning services among currently married women and identify factors associated with it in Bishoftu town, Eastern Ethiopia. METHODS: Community-based cross-sectional study was conducted from 1st January to 28th February, 2021 among 847 randomly sampled currently married women of the reproductive age group. Data were collected using semi structured interviewer administered questionnaire. Multivariate logistic regression was used to identify factors associated with the outcome variable and a 95% confidence interval was used to declare the presence of statistical significance associations. RESULTS: Eight hundred twenty-eight women were participated in the study. The prevalence of unmet need for family planning among currently married women was 26% [95% CI: 23,29]. Maternal age [AOR, 3.00, 95% CI:1.51-5.95], educational status [AOR, 2.49, 95% CI:1.22-5.07], occupational status of self-employee [AOR, 1.98, 95% CI:1.15-3.39] and housewife [AOR, 1.78, 95% CI:1.02-3.12], being visited by health care provider in the last 12 months [AOR, 1.81, 95% CI: 1.26-2.60] and desired number of children less than two [AOR, 1.53, 95% CI:1.01-2.30] were significantly associated with unmet need for family planning. CONCLUSIONS: Unmet need for family planning was higher in the study area compared with the United Nations sphere standard of unmet need for family planning and the national average, and slightly lower than the regional average. Socio-demographic, economic, and health institution factors were determinants of the unmet need for family planning in the study area. Therefore, health education and behaviour change communication related to family planning services should be strengthened and access to family planning services should be improved.
The study was conducted in Bishoftu town. Bishoftu town is one among the town administrations of Oromia region located 47 KM far away from Addis Ababa in Eastern part of Ethiopia. It is located adjacent to Eastern industrial zone of Ethiopia. The town administration comprises of 14 kebeles of which nine were urban kebeles and the remaining three were semi-urban kebeles. In the town, there were two public hospitals, five health centers, two private hospitals, and ten private clinics providing services ranging from preventive and basic curative to advanced medical services to the catchment area population. According to Bishoftu town health office report of 2020, the town had a total population of 217,971 and of this female population accounted 51% (111,165) and women in the reproductive age group eligible to family planning services were 19% (41,328). The study was conducted from 1st January to 28th February, 2021. A community-based cross-sectional study was conducted among currently married women of reproductive age group. All currently married women in the reproductive age group (15–49) and lived in the town for at least 6 months were eligible to the study. Infecund women, women who were not legally married and who were critically ill during the survey period were excluded. Infecundity and marital status of women were identified based on self-report. The sample size was determined using Epi Info sample size calculator for cross-sectional surveys considering the assumptions and parameters: 95% confidence level, 4% margin of error, proportion of unmet need for family planning as 30.9% from the study conducted in Debre Birhan [27], 1.5 design effect, and 10% non-response rate. The calculated sample size yields 846. Where: Multi-stage stratified sampling strategy was used to select kebeles and study participants. In the first stage, five urban kebeles and three semi-urban kebeles were selected using simple random sampling strategy from nine urban and five semi-urban kebeles. In the second stage, a systematic random sampling strategy was used to select households in each kebeles. All households in the primarily selected Kebeles and women in the reproductive age group were listed. The sample size was proportionally allocated to each selected Kebeles based on the total number of currently married women in each Kebeles. All eligible women in every 25th household (K = 25) were interviewed after taking consent for participation. In the case when the selected households had no eligible women, the next household was considered and whenever there were more than one eligible women in the sampled household, one woman was selected randomly. Each selected household was visited three times on occasions where respondents were unavailable during the first visit and after the third visit households were recorded as no-response (Fig 1). The outcome variable was the unmet need for family planning. It was the sum of the unmet need for spacing and the unmet need for limiting. Other outcome variables included demand for family planning and demand satisfied for family planning. Demand for family planning was calculated as the sum of currently married women who were on family planning and the unmet need for family planning. Percentage of demand satisfied for family planning was calculated as currently using family planning divided by the demand for family planning. The explanatory variables were socio-demographic and economic factors, reproductive health factors, and service characteristics. Semi structured interviewer administered questionnaire was used to collect data. The questionnaire was developed based on relevant literature and adapted to the research context [21,23,27,28]. It comprised of three parts: background of respondents, reproductive characteristics, and service related factors. The questionnaire was primarily developed in English language and translated to local languages (Afan Oromo and Amharic). Five nurses and two supervisors with qualification of bachelor of science in public health were participated in the data collection process. A two-day training was given to data collectors and supervisors on the questionnaire, data collection process and research ethics. Pre-test was conducted in 5% of the sample size in an adjacent Kebele of the study area and corrections were made to the questionnaire as appropriate. Supervisors have closely monitored the data collection process and provided support at the field level. Each data records were checked for completeness and consistency, and duplicated cases were removed. Data were entered to Epi-Info version 7 and exported to SPSS version 25 for analysis. The data analysis was progressed in such a way that primarily descriptive statistics was used to describe and summarize the characteristics of respondents. Secondly, bivariate logistic regression was undertaken and those variables with P-value<0.25 were taken to multivariate logistic regression. The outcome variable of the study was the unmet need for family planning services. Variable Inflation Factor (VIF) was used to check the presence of multi collinearity and Hosmer-Lemeshow test of Goodness-of-fit was used to test how well the model explains the data. The strength of association was expressed in an odds ratio with 95% confidence interval and P-value <0.05 was used as cut-off point to declare significance in the final model. Research ethical clearance was obtained from Adama Hospital Medical College Institutional Research Ethics Review Board (Reference number: AHMC/MPHWek/8/12/2020). Support letter was taken from Oromia Regional Health Bureau and Bishoftu town health office. The research was conducted according to the Declaration of Helsinki. The research aims, benefits, and risks were explained to each research participant. Following this, a written informed consent was obtained from participants and for minors, informed written consent was taken from parents or guardians. No personal identifiers were recorded and codes were used on each questionnaire. Paper based data was kept in a locked cabinet and computer-based data were secured with a confidential password. Research data will only be used for the intended aim and not shared with the third people.