Magnitude and determinants of unmet need for family planning among reproductive age women in East Africa: multilevel analysis of recent demographic and health survey data

Spatial distribution and determinants of unmet need for family planning among all reproductive‑age women in Uganda: a multi‑level logistic regression modeling approach and spatial analysis

INTRODUCTION

Unmet need for family planning is defined as the percentage of sexually active and fecund women who want to delay the next birth (birth spacing) or who want to stop childbirth (birth limiting) beyond two years but who are not using any modern or traditional method of contraception. Despite the provision of family planning services, the unmet need of family planning remains a challenge in low- and middle-income countries (LMICs). Thus, this study aimed to assess the spatial distribution and determinant factors of unmet need for family planning among all reproductive‑age women in Uganda.

METHODS

A secondary data analysis was done based on 2016 Ugandan Demographic and Health Surveys (UDHS). Total weighted samples of 18,506 women were included. Data processing and analysis were performed using SPSS Version 26, STATA 14.2, ArcGIS 10.8, and SaTScan 10.1.2 software. Spatial autocorrelation and hotspot analysis was made using Global Moran's index (Moran's I) and Gettis-OrdGi*statistics, respectively. Determinants of unmet needs for family planning were identified by multi-level logistic regression analysis. Variables with a p-value < 0.05 were declared statistically significant predictors.

RESULTS

The spatial distribution of unmet need for family planning among women of reproductive age in Uganda was found to be clustered (Global Moran's I = 0.27, Z-score of 12.71, and p-value < 0.0001). In the multivariable multilevel logistic regression analysis; women in West Nile (AOR = 1.86, 95% CI: 1.39, 2.47), aged 25-49 years old (AOR = .84; 95% CI .72, .99), highly educated (AOR = .69; 95% CI .54, .88), Muslim (AOR = 1.20, 95% CI: 1.03, 1.39), high wealth status (AOR = .73, 95% CI: .64, .82), and had five or more living child (AOR = 1.69, 95% CI: 1.51, 1.88) were significant predictors of unmet need for family planning. Significant hotspot areas were identified in West Nile, Acholi, Teso, and Busoga regions.

CONCLUSION

A significant clustering of unmet need for family planning were found in Uganda. Moreover, age, educational status, religion, wealth status, number of alive children, and region were significant predictors of unmet need for family planning. Therefore, in order to minimize the burdens associated with unmet need, an interventions focusing on promotion of sexual and reproductive health service should be addressed to the identified hotspot areas.

Determinants of unmet need for family planning: Evidence from the 2018 Turkey Demographic and Health Survey

Unmet need for family planning is a valuable concept to indicate the discrepancy between women's fertility preferences and contraceptive use. Unmet need may lead to unintended pregnancies and unsafe abortions. These may result in health deterioration and reduced employment opportunities for women. The 2018 Turkey Demographic and Health Survey report indicated that the estimated unmet need for family planning doubled from 2013 to 2018, returning to the high levels of the late 1990s. Considering this unfavourable change, this study aims to investigate the determinants of unmet need for family planning among married women of reproductive age in Turkey by using the 2018 Turkey Demographic and Health Survey data. Logit model estimations revealed that women who were at older ages, more educated, wealthier, and had more than one child were less likely to have unmet need for family planning. Employment statuses of women and their spouses and place of residence were significantly associated with unmet need. Results emphasised that training and counselling to enhance the use of family planning methods should effectively target young, less educated, and poor women.

Exploring health insurance and knowledge of the ovulatory cycle: evidence from Demographic and Health Surveys of 29 countries in Sub-Saharan Africa

BACKGROUND

Unplanned pregnancy continues to be a major public health concern in Sub-Saharan Africa (SSA). Understanding the ovulatory cycle can help women avoid unplanned pregnancy. Though a wide range of factors for ovulatory cycle knowledge in SSA countries has not been well assessed, the influence of health insurance on ovulatory cycle knowledge is largely unknown. As a result, we set out to investigate the relationship between health insurance enrollment and knowledge of the ovulatory cycle among women of childbearing age. This study aims to investigate the relationship between health insurance enrollment and knowledge of the ovulatory cycle among women of childbearing age in sub-Saharan Africa (SSA).

METHODS

Demographic and Health Surveys (DHSs) data from 29 SSA countries were analyzed. The association between health insurance and ovulatory cycle knowledge was investigated using bivariate and multivariate multilevel logistic regression models among 372,692 women of reproductive age (15-49). The findings were presented as adjusted odds ratios (AOR) with 95% confidence intervals (CI). A p-value of 0.05 was considered statistically significant.

RESULTS

The pooled result shows that the prevalence of knowledge of ovulatory cycle in the studied 29 SSA countries was 25.5% (95% CI; 24.4%-26.6%). Findings suggest higher odds of ovulatory cycle knowledge among women covered by health insurance (AOR = 1.27, 95% CI; 1.02-1.57), with higher education (higher-AOR = 2.83, 95% CI; 1.95-4.09), from the richest wealth quintile (richest-AOR = 1.39, 95% CI; 1.04-1.87), and from female headed households (AOR = 1.16, 95% CI; 1.01-1.33) compared to women who had no formal education, were from the poorest wealth quintile and belonged to male headed households, respectively. We found lower odds of ovulatory cycle knowledge among women who had 2-4 parity history (AOR = 0.80, 95% CI; 0.65-0.99) compared to those with history of one parity.

CONCLUSIONS

The findings indicate that the knowledge of the ovulatory cycle is lacking in SSA. Improving health insurance enrollment should be considered to increase ovulatory cycle knowledge as an approach to reduce the region's unplanned pregnancy rate. Strategies for improving opportunities that contribute to women's empowerment and autonomy as well as sexual and reproductive health approaches targeting women who are in poorest quintiles, not formally educated, belonging to male headed households, and having high parity should be considered.

Barriers to family planning through structural health vulnerabilities: findings from case studies from rural Uganda

The burden of maternal mortality in sub-Saharan Africa is the highest in the world. As high fertility rates present an increased risk to women's health, programmes and services have been put in place to increase access to family planning. Several studies have identified sociocultural factors as limiting access to family planning, including male resistance and women's low decision-making power. However, these studies have often used a behavioural approach that anchors barriers to access in women's attitudes or motivations. In 2019, a qualitative evaluation of a family planning programme using a behavioural approach was conducted in rural Uganda, focusing on women's attitudes and unmet needs. With hindsight, we realised that our evaluation was insufficient to adequately capture barriers that extend beyond women's motivations. This paper shares three case studies that we analysed using a structural health vulnerabilities approach. Our analysis highlights political, economic, social and cultural structures that can impede access to family planning. Using a structural health vulnerabilities approach, we identify structural barriers which have their roots in the local realities women face and propose context-specific structural recommendations. Finally, we contrast our initial results with findings the case studies presented to highlight the relevance of taking structural vulnerabilities into account in future family planning programme evaluation and women's sexual and reproductive health studies.

Using Andersen's behavioral model of health care use for intermittent preventive treatment of malaria in pregnancy in Nigeria

BACKGROUND

Studies in Nigeria and elsewhere in sub-Saharan Africa (sSA) have explored factors influencing usage of intermittent preventive treatment of malaria in pregnancy (IPTp). Most studies, however, are not model or theory-based, which provides less satisfactory guidance to malaria control programming. This study fills the knowledge gap by adapting Andersen's behavioral model of health care use to IPTp usage in Nigeria.

METHODS

This study adopted a cross-sectional design that utilized secondary data extracted from the 2018 Nigeria Demographic and Health Survey (NDHS). A weighted sample of 4,772 women who had given birth in the past year preceding the survey, was analyzed. Outcome variable was usage of IPTp, dichotomized into optimal or otherwise. Explanatory variables cut across individual and community levels and were divided into predisposing, enabling and need factors in line with the theoretical constructs of the Andersen model. Two multilevel mixed-effects logistic regression models were fitted to identify factors which influenced optimal usage of IPTp. Analyses were performed using STATA 14. Statistical significance was set at 5%.

RESULTS

Realised level of optimal IPTp usage was 21.8%. Factors that either predispose or enable pregnant women to take optimal doses of IPTp were maternal education, being employed, being autonomous in their own healthcare, health insurance enrolment, partner education, receiving antenatal care in public health facilities, rural residence, being resident in northern geo-political zones, community literacy level and community perception of the consequences of malaria. Two significant need factors affecting optimal usage of IPTp were timing of the first antenatal care visit and sleeping under mosquito bed nets.

CONCLUSION

Optimal usage of IPTp is low among pregnant women in Nigeria. There is a need to devise additional public health educational programs promoting IPTp usage through the formation of Advocacy, Communication and Social Mobilisation (ACSM) in every ward in all local government areas, particularly in the rural and northern parts of the country. In addition, health planners should adopt the Andersen model for assessing key determinants of IPTp usage among childbearing women in Nigeria.

Prevalence and determinants of unmet need for contraception among women in low and high-priority segments for family planning demand generation in Nigeria

BACKGROUND

Studies have identified various determinants of unmet need for contraception. These determinants cut across individual, household, community, and health facility levels. Despite this evidence, there remains a lack of information regarding differentials in the prevalence and determinants of unmet need for contraception among women in the low-priority segments (such as women of advanced reproductive age and women living with disabilities) and high-priority segments (such as adolescents, young adults, and unmarried women) for family planning demand generation, hence this study.

METHODS

The study design is cross-sectional. The study analyzed merged data from the individual, and persons recode of the 2018 Nigeria Demographic and Health Survey (NDHS). The samples analyzed are 5,147 women in the high-priority segment and 7,536 women in the low-priority segment. The outcome variable in the study was unmet need for contraception. The explanatory variables were selected at the individual, household, community, and facility levels. Statistical analyzes were performed using Stata 14. Three multilevel mixed-effects regression models were fitted. Model 1 was the empty model, while Model 2 included the sets of individual, household, and community variables. Model 3 controlled for the facility-level variables.

RESULTS

Findings show a higher prevalence of unmet need for contraception among women in the family planning low-priority segment compared to women in the family planning high-priority segment. Religion and desired family size were the two individual characteristics that significantly predicted the unmet need for contraception among women in the two segments. Sexual autonomy was the only household characteristic that predicted unmet need for contraception in both segments. There were differences in the community characteristics that predicted unmet need for contraception among women in the two segments.

CONCLUSION

The prevalence of unmet need for contraception is not the same among women in low and high family planning priority segments. The determinants also differ among women in the two segments. Though, women in different family planning segments have the same contraceptive needs of avoiding pregnancy when not needed, however, getting the needs satisfied requires that existing programs be further examined to develop initiatives that will resonate with each segment of reproductive-age women.

Magnitude of unmet need for family planning and its predictors among reproductive age women in high fertility regions of Ethiopia: Evidence from Ethiopian Demographic and Health Survey

BACKGROUND

Unmet need for family planning refers to fertile women who want to limit or space their delivery but are not using contraceptive methods. Despite multiple studies were conducted to address family planning in Ethiopia, there is limited information on unmet need in high fertility regions. Knowing the magnitude and predictors of unmet need in the study area helps as an impute for interventions. Therefore, this study aims to assess the magnitude and predictors of unmet need for family planning among reproductive age women in high fertility regions of Ethiopia.

METHODS

A secondary data analysis was performed using the Ethiopian Demographic and Health Survey 2016. A total sample weight of 4312 currently married reproductive age women were included in this study. A multilevel mixed-effect binary logistic regression model was fitted. Finally, the odds ratios along with the 95% confidence interval were generated to determine the individual and community level factors of unmet need for family planning. A p-value less than 0.05 was declared as statistical significance.

RESULTS

The overall unmet need for family planning among currently married reproductive-age women in high fertility regions of Ethiopia was 29.78% (95% CI: 28.26, 31.3). Women with no formal education (AOR: 1.65, 95% CI: 1.17, 2.15), women in the poor wealth quantile (AOR: 1.67, 95% CI: 1.34, 2.09), women with no media exposure (AOR: 1.32, 95% CI: 1.09, 1.58), multiparous women (AOR: 1.57, 95% CI: 1.15, 2.16), sex of household head (AOR: 1.39, 95% CI: 1.11, 1.77) and rural residency (AOR: 2.45, 95% CI: 1.12, 3.59) were predictors of unmet need for family planning.

CONCLUSION

The magnitude of unmet need for family planning among currently married reproductive-age women in high fertility regions of Ethiopia was high when compared to the national average and the United Nations sphere standard of unmet need for family planning. Education, wealth index, mass media, parity, sex of household head, and residence were independent predictors of unmet need for family planning among reproductive-age women in high fertility regions of Ethiopia. Any interventional strategies that reduce the unmet need for family planning should consider these factors to overcome the problems in the regions.

Evaluating the effectiveness of enhanced family planning education on knowledge and use of family planning in fishing communities of Lake Victoria in Uganda: a randomized controlled trial

Introduction

Family planning knowledge is poor and use is low in Ugandan fishing communities. We compared the effectiveness of enhanced family planning (FP) education with routine counselling on FP knowledge and use.

Methods

Individuals aged 15–49 years were randomly assigned to intervention or control arm. The intervention constituted enhanced FP education based on a simplified handout extracted from the WHO FP guidance tool called, “Family planning: A global handbook for FP providers” which participants took home for additional reading. The control arm constituted FP counselling following Uganda Ministry of Health guidelines. FP knowledge score and contraceptive prevalence rate (CPR) were compared between trial arms at baseline and at 12 months. Negative binomial regression models were used to estimate the effect of the intervention on FP knowledge and use.

Results

Overall, 1410 participants were screened to enrol 1004 (502 per study arm, 48.5% women). Subsequently, 384 (76.5%) and 383 (76.3%) completed the 12 months’ follow-up in the intervention and control arms respectively. At baseline, a median FP knowledge score of 8 and a < 70% FP knowledge score was observed for all participants with a CPR of 36.8%. At month-12, the median FP knowledge score improved in both arms, higher in the intervention arm than the control arm (46 vs 30; p < 0.001). In the intervention arm, 304 (79.2%) had a score of ≥70 compared with 21 (5.5%) in the control arm (p < 0.001). In the negative binomial regression model, the change in FP knowledge score was 47% higher in the intervention arm than in the control arm (score ratio: 1.47, 95%CI: 1. 43-1.51, p < 0.001). The change in CPR was 16% higher in the intervention arm than in the control arm (Prevalence ratio: 1.16, 95%CI: 1.01-1.34, p < 0.040).

Interpretation

Enhanced FP education using a simplified FP education handout was more effective in increasing FP knowledge and use compared to routine FP counselling for people living in fishing communities. Innovative FP education interventions are recommended for improving FP knowledge and optimizing uptake in remote-rural settings where literacy levels are low.

Trial registration

The study was registered by the Pan African Clinical Trial Registry on 03 July 2021 with a Trial Registration Number PACTR202107891858045. “Retrospectively registered”.