Magnitude and associated factors of early Implanon discontinuation among rural women in public health facilities of central Ethiopia: a community-based cross-sectional study

Factors associated with the discontinuation of hormonal contraceptives in women of Lima, Peru

INTRODUCTION

Family planning is a right and a tool that offers the possibility of choosing how many children to have. Its importance lies in the possibility of avoiding an unwanted pregnancy and its consequences. Our objective was to determine the factors associated with discontinuing hormonal contraceptives in women of childbearing age who attended the La Libertad Health Center in January 2023.

METHODS

The study was observational, analytical, and cross-sectional. A total of 100 women of childbearing age who were users of hormonal contraceptives were included. Descriptive statistics were performed, frequency measurements and measures of central tendency were calculated, bivariate statistics were performed and the prevalence ratio (PR) was calculated, and a robust Poisson regression model was performed to assess the associated independent factors. All calculations were made with a confidence level of 95%.

RESULTS

The educational level (PR=1.74; 95% CI: 1.22-2.48, p=0.006), the distance to the health center (PR=7.32; 95% CI: 1.1-48.5, p=0.001), having presented adverse events (PR=26.38; 95% CI: 3.8-183, p=0.001), and that the health staff had not identified the need for contraception (PR=3.12; 95% CI: 0.87-11.10, p=0.01) were associated with stopping a hormonal contraceptive. After introducing the variables to the regression model, the only independently associated factor was having presented an adverse event with the use of hormonal contraceptives (adjusted prevalence ratio, APR=3.33; 95% CI: 2.1-5.2, p<0.001).

CONCLUSIONS

In this population, the factors associated with the discontinuation of hormonal contraceptives were education level, distance to the health center, having presented some adverse event with its use, and that health staff had not identified the need for contraception. The only independently associated factor was having presented an adverse event.

Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach

BACKGROUND

Globally, 38% of contraceptive users discontinue the use of a method within the first twelve months. In Ethiopia, about 35% of contraceptive users also discontinue within twelve months. Discontinuation reduces contraceptive coverage, family planning program effectiveness and contributes to undesired fertility. Hence understanding potential predictors of contraceptive discontinuation is crucial to reducing its undesired outcomes. Predicting the risk of discontinuing contraceptives is also used as an early-warning system to notify family planning programs. Thus, this study could enable to predict and determine the predictors for contraceptive discontinuation in Ethiopia.

METHODOLOGY

Secondary data analysis was done on the 2016 Ethiopian Demographic and Health Survey. Eight machine learning algorithms were employed on a total sample of 5885 women and evaluated using performance metrics to predict and identify important predictors of discontinuation through python software. Feature importance method was used to select top predictors of contraceptive discontinuation. Finally, association rule mining was applied to discover the relationship between contraceptive discontinuation and its top predictors by using R statistical software.

RESULT

Random forest was the best predictive model with 68% accuracy which identified the top predictors of contraceptive discontinuation. Association rule mining identified women's age, women's education level, family size, husband's desire for children, husband's education level, and women's fertility preference as predictors most frequently associated with contraceptive discontinuation.

CONCLUSION

Results have shown that machine learning algorithms can accurately predict the discontinuation status of contraceptives, making them potentially valuable as decision-support tools for the relevant stakeholders. Through association rule mining analysis of a large dataset, our findings also revealed previously unknown patterns and relationships between contraceptive discontinuation and numerous predictors.

Discontinuation of long acting reversible contraceptive use and its determinants among women in Ethiopia: Systematic review and meta-analysis

Introduction

Contraception discontinuation is a major public health issue that leads to unwanted pregnancies and unsafe abortions. Therefore, this systematic review and meta-analysis aimed to estimate discontinuation of contraceptives and its determinants in Ethiopia.

Methods

PubMed, Google Scholar, Scopus, Science Direct, and Addis Ababa University online library were searched. Data were extracted using Microsoft Excel and analyzed using STATA statistical software (v. 14). Publication bias was checked by forest plot, Begg's rank test, and Egger's regression test. To look for heterogeneity, I² was computed, and an overall estimated analysis was carried out. Subgroup analysis was done by region, study setting, and publication. The pooled odds ratio for associated factors was also computed.

Results

Out of 654 studies assessed, 20 met our criteria and were included in the study. The total number of study participants was 8,780. The pooled prevalence of discontinuation of long acting reversible contraceptive use was 36.94% (95% CI: 28.547-45.326). According to sub-group analysis, Amhara region (45%) and institution-based studies (47.9%) had the highest prevalence. The most common reason for contraceptive discontinuation was negative side effect (42.3%).Women experienced side effects (AOR = 2.833:95% CI:2.005-4.003), didn't receive counseling on side effects (AOR = 2.417; 95% CI: 1.591-3.672), didn't appoint follow up (AOR = 2.820; 95% CI: 2.048-3.881), dissatisfied with the given service (AOR = 5.156; 95% CI: 3.644-7.296), and a desire to be pregnant (AOR = 2.366; 95% CI: 1.760-3.182) were predictors of discontinuation of contraceptives.

Conclusion

In Ethiopia, the pooled prevalence of long acting contraceptive discontinuation was high. Side effects, not being informed about side effects, dissatisfaction with the provided service, no insertion follow-up, and a desire to become pregnant were all associated factors. Healthcare professionals should focus on the client's reproductive goals, proper management of side effects, counseling, and post-insertion visits.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022347860, identifier CRD42022347860.

Prevalence of contraceptive implant discontinuation among women who used implant in Ethiopia: Systemic review and meta-analysis

The likelihood of contraceptive implant discontinuation is very common and varies worldwide. This high prevalence of discontinuation may also indicate problems with implementation of family planning programmes. Consequently, a significant number of women are exposed to conception after discontinuation. Although studies have been conducted in Ethiopia, there are inconsistencies across studies. Therefore, this meta-analysis aimed to estimate the pooled prevalence of contraceptive implant discontinuation among women in Ethiopia. Published articles from various electronic databases such as PubMed/MEDLINE, Google Scholar, Science Direct, AJOL and Cochrane library were systematically searched. All cross-sectional studies conducted on prevalence of contraceptive implant discontinuation and published up to 30 January 2022 were included in this review. To estimate the pooled prevalence, random effect model was used and a subgroup analysis was performed to identify the possible source of heterogeneity. Begg's and Egger's tests were used to identify possible publication bias. A total of 13 cross-sectional studies with 5012 participants were included. Significant heterogeneity was observed across studies (I2 = 98.2%). However, there was no evidence of publication bias (p = 0.066). The estimated pooled prevalence of contraceptive implant discontinuation in Ethiopia was found to be 36.95% (95% confidence interval = 27.6-46.3). A subgroup analysis by time of discontinuation indicated that 21.5%, 42.2% and 33.5% of contraceptive implant user discontinue within 12 months, 2.5 years and 3 years, respectively. This meta-analysis indicated that the prevalence of discontinuation of contraceptive implant was found to be high in Ethiopia. Therefore, strengthening the appropriate counselling prior to insertion and proper follow-up, independent choice will improve the proportion of implants retention.