Dataset Information

Factors influencing unmet need for family planning among Ghanaian married/union women: a multinomial mixed effects logistic regression modelling approach.

ABSTRACT:

Background

Unmet need for family planning is high (30%) in Ghana. Reducing unmet need for family planning will reduce the high levels of unintended pregnancies, unsafe abortions, maternal and neonatal morbidity and mortality. The purpose of this study was to examine factors that are associated with unmet need for family planning to help scale up the uptake of family planning services in Ghana.

Methods

This cross sectional descriptive and inferential study involved secondary data analysis of women in the reproductive age (15-49 years) from the Ghana Demographic and Health Survey 2014 data. The outcome variable was unmet need for family planning which was categorized into three as no unmet need, unmet need for limiting and unmet need for spacing. Chi-squared test statistic and bivariate multilevel multinomial mixed effects logistic regression model were used to determine significant variables which were included for the multivariable multilevel multinomial mixed effects logistic regression model. All significant variables (p < 0.05) based on the bivariate analysis were included in the multinomial mixed effects logistic regression model via model building approach.

Results

Women who fear contraceptive side effects were about 2.94 (95% CI, 2.28, 3.80) and 2.58 (95% CI, 2.05, 3.24) times more likely to have an unmet need for limiting and spacing respectively compared to those who do not fear side effects. Respondents' age was a very significant predictor of unmet need for family planning. There was very high predictive probability among 45-49 year group (0.86) compared to the 15-19 year group (0.02) for limiting. The marginal predictive probability for spacing changed significantly from 0.74 to 0.04 as age changed from 15 to 19 to 45-49 years. Infrequent sexual intercourse, opposition from partners, socio-economic (wealth index, respondents educational level, respondents and partner's occupation) and cultural (religion and ethnicity) were all significant determinants of both unmet need for limiting and spacing.

Conclusions

This study reveals that fear of side effect, infrequent sex, age, ethnicity, partner's education and region were the most highly significant predictors of both limiting and spacing. These factors must be considered in trying to meet the unmet need for family planning.

SUBMITTER: Guure C

PROVIDER: S-EPMC6413448 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Factors influencing unmet need for family planning among Ghanaian married/union women: a multinomial mixed effects logistic regression modelling approach.

Guure Chris C Maya Ernest Tei ET Dery Samuel S da-Costa Vrom Baaba B Alotaibi Refah M RM Rezk Hoda Ragab HR Yawson Alfred A

Archives of public health = Archives belges de sante publique 20190312

<h4>Background</h4>Unmet need for family planning is high (30%) in Ghana. Reducing unmet need for family planning will reduce the high levels of unintended pregnancies, unsafe abortions, maternal and neonatal morbidity and mortality. The purpose of this study was to examine factors that are associated with unmet need for family planning to help scale up the uptake of family planning services in Ghana.<h4>Methods</h4>This cross sectional descriptive and inferential study involved secondary data a ...[more]

PMID: 30911385

Similar Datasets

Project description:BackgroundDocumentary evidence points to high unmet need for family planning across sub-Saharan Africa. Modern contraceptive use has been staggering over decades with unacceptable marginal increases given that one in three women still report unmet need in Ghana. This study sought to re-examine through a further analysis on the prevalence and determinants of unmet need for family planning in Ghana using married women extracted from the recent 2014 Ghana Demographic and Health Survey.MethodData was analyzed using univariate, bivariate, logistic and multinomial logistic regression models.ResultsOf the 4527 women, more than a third (35.17%) experienced unmet need of which 20.19% had unmet need for spacing while 14.98% reported unmet need for limiting. The logistic results showed that older aged women, being employed and women with higher ideal number of children were less likely to experience unmet need. However, women who did not know the couples' preferred number of children, women who had more than one union and those with higher number of living biological children were more likely to report unmet need. From the multinomial model, an increase in age, residing in a rural area, and being employed were associated with lower risk of unmet need for spacing. Additionally, Women who did not know the couples' ideal number of children, women who had higher age when they got married, and women with higher number of biological children were more likely to report unmet need for spacing. Women who had a higher number of ideal children, women who had secondary or higher education, women from higher socio-economic households, were less likely to report unmet need for limiting. .ConclusionsWe recommend the strengthening of contraception services in order to address the various age specific needs and women within the different socio-demographic sects so as to reduce unmet need. Addressing the needs of women with increasing number of living biological children is equally paramount.

Project description:BackgroundMore than one out of every ten married women in the world, and one out of every five women in Africa, have unmet family planning needs. Despite this, studies concerning sub-Saharan Africa as well as the community-level factors that may influence the unmet need for family planning are scarce.ObjectiveTo assess factors associated with unmet need for family planning in sub-Saharan Africa.MethodsThis study used the nineteen demographic and health surveys (DHS) conducted between 2015 and 2020 in sub-Saharan Africa. A total weighted sample of 175, 820 women of reproductive age who were married during the survey was used for this study. To assess the factors associated with unmet need for family planning, I have employed a multilevel multinomial logistic regression model. After selecting variables using the bivariable analysis, a multivariable model was fitted. Finally, an adjusted relative risk ratio with its 95% Confidence Interval was reported and variables with a p-value less than 0.05 were declared to be significant predictors of unmet need for family planning.ResultThe overall prevalence of unmet need for family planning in sub-Saharan Africa was 23.70%, of which unmet need for spacing and limiting was 15.81% and 7.90% respectively. In the multivariable multilevel multinomial model, women's age, women's education, age at cohabitation, heard about family planning through media, parity, number of under-five children, and knowledge about modern contraceptive methods were among the individual-level factors that were associated with both the unmet need for spacing and limiting. Place of residence, community level of women illiteracy, and region were among the community-level factors that were associated with both unmet needs for spacing and limiting. Household size and visiting the health facility in the last 12 months were associated with unmet need for spacing only and husband education was associated with unmet need for limiting only.ConclusionUnmet need for family planning in sub-Saharan Africa was high. Both individual and community level factors were associated with both unmet need for spacing and limiting. Therefore, it is better to consider interventions at both individual and community levels.

Project description:BackgroundNFHS-4 stated high unmet need for family planning (FP) among married women in Uttar Pradesh. Unmet need is highest among age groups: 15-19 and 20-24 years. Currently few data is available about unmet need for FP among vulnerable section of the community, i.e.15-24 year's age group living in the urban slums. Therefore this study was conducted to assess the unmet need for FP services and its determinants among this under-privileged and under-served section of society residing in urban slums of Uttar Pradesh, India.MethodsCross sectional study was conducted in the slums of Lucknow, India. One Urban-Primary Health Centre (U-PHC) was randomly selected from each of the eight Municipal Corporation zones in Lucknow and two notified slums were randomly selected from each U-PHC. All the households in the selected slums were visited for interviewing 33 young married women (YMW) in each slum, with a pre-structured and pre tested questionnaire, to achieve the sample size of 535. Analysis of the data was done using logistic regression.ResultsThe unmet need for family planning services among YMW was 55.3%. About 40.9% of the unmet need was for spacing methods and 14.4% for limiting methods. Important reasons cited for unmet need for family planning services were negligent attitude of the women towards family planning, opposition by husband or others, embarrassment / hesitation / shyness for contraceptive use, poor knowledge of the FP method or availability of family planning services. Among method related reasons health concerns and fear of side effects were frequently cited reasons. On multiple logistic regression: age, educational status, duration of marriage, number of pregnancies, knowledge of contraceptive methods, opposition to contraceptive use and contact with Auxiliary Nurse Midwife (ANM) showed independently significant association with unmet need for family planning services.ConclusionsUnmet need for family planning services is very high among the YMW of urban slums. The findings stress that program managers should take into cognizance these determinants of high level of unmet need for family planning among YMW and make intense efforts for addressing these issues in a holistic manner.

Project description:BackgroundUnmet 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.MethodsCommunity-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.ResultsEight 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.ConclusionsUnmet 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.

Dataset Information

Factors influencing unmet need for family planning among Ghanaian married/union women: a multinomial mixed effects logistic regression modelling approach.

Background

Methods

Results

Conclusions

Publications

Factors influencing unmet need for family planning among Ghanaian married/union women: a multinomial mixed effects logistic regression modelling approach.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets