Unintended Pregnancy and Associated Factors Among Women Attending Antenatal Care in Public Hospitals During COVID-19 Pandemic, Southwest Ethiopia: A Cross-Sectional Study

Machine learning to predict unintended pregnancy among reproductive-age women in Ethiopia: evidence from EDHS 2016

BACKGROUND

An unintended pregnancy is a pregnancy that is either unwanted or mistimed, such as when it occurs earlier than desired. It is one of the most important issues the public health system is currently facing, and it comes at a significant cost to society both economically and socially. The burden of an undesired pregnancy still weighs heavily on Ethiopia. The purpose of this study was to assess the effectiveness of machine learning algorithms in predicting unintended pregnancy in Ethiopia and to identify the key predictors.

METHOD

Machine learning techniques were used in the study to analyze secondary data from the 2016 Ethiopian Demographic and Health Survey. To predict and identify significant determinants of unintended pregnancy using Python software, six machine-learning algorithms were applied to a total sample of 7193 women. The top unplanned pregnancy predictors were chosen using the feature importance technique. The effectiveness of such models was evaluated using sensitivity, specificity, accuracy, and area under the curve.

RESULT

The ExtraTrees classifier was chosen as the top machine learning model after various performance evaluations. The region, the ideal number of children, religion, wealth index, age at first sex, husband education, refusal sex, total births, age at first birth, and mother's educational status are identified as contributing factors in that predict unintended pregnancy.

CONCLUSION

The ExtraTrees machine learning model has a better predictive performance for identifying predictors of unintended pregnancies among the chosen algorithms and could improve with better policy decision-making in this area. Using these important features to help direct appropriate policy can significantly increase the chances of mother survival.

Unintended Pregnancy and Associated Factors among Pregnant Women Attending Antenatal Care Unit in Public Health Facilities of Dire Dawa City, Eastern Ethiopia, 2021

Background

Unintended pregnancy refers to a pregnancy that is either mistimed or unwanted. Unintended pregnancy has been a troubling public health and reproductive health issue, which imposes appreciable adverse consequences on the mother, child, and the public in general. Globally 121 million unplanned pregnancies occurred from 2015 to 2019. A significant proportion (61%) of these pregnancies ended in abortions each year. In Ethiopia, the challenges of unintended pregnancy and its related complications still exist because of the high rate of unmet need for contraceptives. In addition, no research has been conducted on unintended pregnancy among pregnant women in Dire Dawa city administration.

Objective

To determine the prevalence of unintended pregnancy and associated factors among pregnant women attending antenatal care public health facilities in Dire Dawa in 2021.

Methods

A facility-based cross-sectional study was conducted. After being chosen randomly, 382 pregnant women were interviewed at 9 urban public health facilities. A pretested questionnaire was used to collect data, entered into Epi Info 7, and exported into SPSS version 25 for analysis. The variables, which were significant at P ≤ 0.25 in bivariate analysis, were included in multivariable analysis. Statistical significance was declared at a P value <0.05 and a 95% CI.

Results

In this study, the prevalence of unintended pregnancy was 23.8% at 95% CI (19.8-28.3). The following factors were associated with unintended pregnancy: single women (AOR = 10.93, 95% CI 3.65-32.74), low family income (2000 ETB) (AOR = 4.01, 95% CI 1.73-9.28), parity 3 (AOR = 10.3, 95% CI 4.07-25.84), no history of family planning use (AOR = 5.91, 95% CI 2.46-14.21), and husband decision-making role on reproductive health (AOR = 2.956, 95% CI 1.048-8.340). Conclusion and Recommendations. The prevalence of unintended pregnancy was relatively high in this study. Efforts should be made to scale up women's decision-making power on family planning services and give support to empower women economically. There is the need to promote family planning services to minimize unintended pregnancy and to decrease parity and family size.

Accessibility and utilization of antenatal care services in sub-Saharan Africa during the COVID-19 pandemic: A rapid review

Control measures for the COVID-19 pandemic brought unprecedented challenges to health care delivery. Some countries in sub-Saharan Africa (SSA) stopped the provision of essential health care except for those services that were deemed emergencies or life-threatening. A rapid review was conducted on March 18, 2022, on the accessibility and utilization of antenatal care services in sub-Saharan Africa during the COVID-19 pandemic. PubMed, Google Scholar, SCOPUS, and the World Health Organization library databases were searched for relevant studies. A modified Population, Intervention, Control, and Outcomes (PICO) framework informed the development of the search strategy. The review included studies conducted within Africa that described the availability, access, and utilization of antenatal services during the COVID-19 pandemic. Eighteen studies met the inclusion criteria. This review revealed a reduction in access to ANC services, an increase in the number of home deliveries, and a reduction in the number of women attending ANC visits during the COVID-19 pandemic. A decrease in ANC service utilization was reported in some studies in the review. Barriers to ANC access and utilization during the COVID-19 pandemic included movement restrictions, limited transport access, fear of contracting COVID-19 at the health facilities, and facility barriers. The use of telemedicine needs to be improved in African countries to allow for the continued provision of health services during pandemics. In addition, there should strengthening of community involvement in the provision of maternal health services post-COVID-19 so that services may be able to better withstand future public health emergencies.

The burden of unintended pregnancies among Indian adolescent girls in Bihar and Uttar Pradesh: findings from the UDAYA survey (2015-16 & 2018-19)

BACKGROUND

Unintended pregnancy severely affects the health and welfare of women and children, specifically if women are young and vulnerable. This study aims to determine the prevalence of unintended pregnancy and its determinants among adolescent girls and young adult females in Bihar and Uttar Pradesh. We believe the present study is unique as it examines the association between unintended pregnancy and sociodemographic factors among young female population in two states of India from 2015-19.

METHODS

The data for the present study is derived from the two-wave longitudinal survey "Understanding the lives of adolescents and young adults" (UDAYA) conducted in 2015-16 (Wave 1) and 2018-19 (Wave 2). Univariate, bivariate analysis along with logistic regression models were employed.

RESULTS

The results revealed that 40.1 per cent of all currently pregnant adolescents and young adult females reported their pregnancy as unintended (mistimed and unwanted) in Uttar Pradesh at Wave 1 of the survey, which decreased to 34.2 per cent at Wave 2. On the contrary, almost 99 per cent of all currently pregnant adolescents in Bihar reported their pregnancy as unintended at Wave 1, which decreased to 44.8 per cent at Wave 2. The sociodemographic factors like age, caste, religion, education, wealth, media and internet use, knowledge and effective contraception highly impacted unintended pregnancy in Bihar and Uttar Pradesh. The longitudinal results of the study revealed that place of residence, internet use, number of wanted children, heard about contraception and SATHIYA, use of contraception, side effects of contraception, and the confidence in getting contraceptives from ASHA/ANM did not appear significant predictors at Wave 1. However, they emerge significant over time (Wave 2).

CONCLUSIONS

Despite many recently launched policies for adolescents and the youth population, this study comprehended that the level of unintended pregnancies in Bihar and Uttar Pradesh stands worrisome. Therefore, adolescents and young females need more comprehensive family planning services to improve their awareness and knowledge about contraceptive methods and use.

Disruption in Essential Health Service Delivery: A Qualitative Study on Access to Family Planning Information and Service Utilization During the First Wave of COVID-19 Pandemic in Uganda

Background

Coronavirus disease 2019 (COVID-19) remains a challenge to public health with profound impact on people’s lives. With several mitigation measures implemented to curb the spread of COVID-19, these impacted on access and utilization of general health services including family planning (FP) services. The objective of the study was to understand the extent to which COVID-19 interrupted access and utilization of FP services as well as highlight the challenges faced during the lockdown in Uganda.

Methods

A qualitative study was carried out in August and September 2020 across the country. A total of 21 key informant interviews among researchers, policy makers, funding agencies, district family planning focal persons, district health officers and service providers with implementing partners were conducted. These were conducted using face to face (7), phone calls (11) and zoom (3) meetings. All interviews were audio recorded and transcribed verbatim. Transcripts were used to identify and generate codes, sub themes and themes. Analysis was done using the thematic framework analysis and results presented in themes.

Results

Five themes were identified in this study which included; (i) financial and psychosocial needs, (ii) mobility hindrances, (iii) disrupted service delivery, (iv) responsive reproductive health services. The financial and psychosocial needs themes included: household and individual financial constraints, unpredictable future and community acceptance, loss of employment and unemployment, misconceptions and unintended pregnancies; while mobility hindrances included; restricted movement, high transport costs, and difficulty in finding transport.

Conclusion

Results showed that the pandemic had immediate and significant long-term effects on family planning service accessibility, utilization and delivery. The study recommends implementation of telehealth services, country-wide sensitization on use of long-term contraceptive methods, empowering village health teams and making family planning services mandatory and free to all private facilities in order to lower any disruptions during pandemics.

Unintended pregnancy and associated factors during COVID-19 pandemic in Ethiopia: Community-based cross-sectional study

INTRODUCTION

The term 'unintended pregnancy' refers to a pregnancy that occurred when no children were desired or occurred earlier than desired. Unintended births account for one out of every three births in Ethiopia, and they are the leading cause of maternal morbidity and mortality. During the coronavirus disease (COVID-19) pandemic, this could be useful. COVID-19 has a significant impact on maternal health care utilization, including family planning services. As a result, this study aimed to assess unintended pregnancy and associated factors in Ethiopia during the COVID-19 pandemic.

METHOD

A community-based cross-sectional study was conducted in Gedeo zone, Ethiopia, from April 1 to May 30, 2021. A simple random sampling technique was utilized to get 383 pregnant women from their respective kebeles. A structured questionnaire was used to collect data during a face-to-face interview. The data were coded, cleaned, and entered into Epidemiological Data Version 3.1 before being exported to the Statistical Package for Social Science Version 23.0 for analysis. A bivariate and multivariable logistic regression model was used to identify statistically significant associations between dependent and independent variables. The odds ratio, with a 95% confidence interval and a P value of 0.05%, was considered statistically significant.

RESULT

A total of 383 pregnant women participated in the study, giving a response rate of 90.8%. During the COVID-19 pandemic, 140 (36.6%) participants stated that their current pregnancy was unintended. Unintended pregnancy was significantly associated with respondents' age (adjusted odds ratio (AOR) = 5.214 (1.449-18.762)), primary decision maker for family planning services (AOR = 9.510 (5.057-17.887)), and fear of COVID-19 to visit a health care facility (AOR = 7.061 (2.665-18.710)).

CONCLUSION

During the COVID-19 era, more than one-third of women had unintended pregnancies. Unintended pregnancy was significantly associated with respondents' age, autonomy to use contraceptive methods, and fear of COVID-19, which required them to attend a health care institution.