Unwanted pregnancy and associated factors among pregnant married women in Hosanna town, Southern Ethiopia

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Study Justification:
– Unintended pregnancy is a major reproductive health problem in Ethiopia, with adverse outcomes for women.
– Illegal abortions are sought following unintended pregnancies, putting women’s lives at risk.
– This study aims to determine the prevalence of unintended pregnancy and associated factors among pregnant married women in Hossana, Southern Ethiopia.
Highlights:
– The study found that 34% of pregnancies among married women in Hossana were unintended.
– Factors significantly associated with unintended pregnancy included a history of previous unintended pregnancy, husband’s desire to not limit family size, a desire for at least two children, and higher number of pregnancies and parity.
– Reproductive health programs should focus on addressing these factors to reduce unintended pregnancy.
Recommendations:
– Reproductive health programs should provide education and counseling on family planning methods and the importance of spacing pregnancies.
– Efforts should be made to involve husbands in family planning decisions and promote shared responsibility.
– Access to contraception and antenatal care services should be improved to prevent unintended pregnancies and ensure safe pregnancies and deliveries.
Key Role Players:
– Health professionals working at reproductive health clinics (safe and post-abortion care health officers and nurses, family planning, antenatal care, and urban health extension workers)
– Hadiya zone health office and Hossana town health office administrations
Cost Items for Planning Recommendations:
– Training for health professionals on family planning counseling and services
– Awareness campaigns and educational materials on family planning methods
– Improving access to contraception and antenatal care services
– Monitoring and evaluation of reproductive health programs to assess their impact on reducing unintended pregnancies
Please note that the cost items provided are for planning purposes and do not reflect actual costs.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a community-based cross-sectional study involving both qualitative and quantitative data collection methods. The study provides specific details about the sample size, data collection process, and statistical analysis. However, the abstract does not mention the representativeness of the sample or the generalizability of the findings. To improve the evidence, the researchers could include information about the sampling technique used to ensure a representative sample and discuss the limitations of the study in terms of generalizability.

Of an estimated 210 million pregnancies that occur in the world each year, 38% are unplanned, out of which 22% end in abortion. In Ethiopia, the estimates of unintended pregnancy indicate that it is one of the major reproductive health problems with all its adverse outcomes. Women risk their lives in by seeking illegal abortions following unintended pregnancies. Thus, this study aims to determine the prevalence of unintended pregnancy and associated factors among pregnant married women residing in Hossana, Southern Ethiopia. A community-based cross-sectional study involving both qualitative and quantitative data collection methods was carried out in Hossana from April 02 to 15, 2011. 385 pregnant married women randomly selected from the census were included for the quantitative data and took in-depth interviews for the qualitative. Descriptive, binary and multiple logistic regression analyses were performed using SPSS version 16. Out of the total pregnancies, 131 (34%) were unintended and 254 (66%) were reported to be intended. A history of previous unintended pregnancy, the husband not wanting to limit family size, a desire for at least two children, the number of pregnancy 3-4 and parity of 5 and above were factors significantly associated with unintended pregnancy. With over one third of pregnancies unintended, having a previous unintended pregnancy, the number of previous pregnancies, and husbands’ disagreement over family size, and the desired number of children are factors that reproductive health programs should aim to focus on to reduce unintended pregnancy. © 2012 Hamdela et al.

A community based cross-sectional study using both quantitative and qualitative methods was carried out in Hadiya zone, Hossana town from April 02–15, 2001. In Hossana there were eight kebeles (lowest administrative unit). Study from southern Ethiopia revealed that only 26.1% and 3.3% of the women received antenatal and delivery care services, respectively [7]. Census was conducted in all kebeles. The population for the quantitative survey included all pregnant married women residing in Hossana for at least six months prior to the survey. For the qualitative survey, health professionals working at reproductive health clinics (safe and post-abortion care health officers and nurses, family planning, antenatal care and urban health extension workers, clinical nurses) were included. The study populations included were purposely selected from the source population for an in-depth interview. For quantitative data, a sample from pregnant married women was considered. To determine the sample size, a single population proportion formula using a prevalence of unintended pregnancy at 35% [6], a confidence level of 95%, and a 5% degree of precision, were used. A non-response rate of 10% was also used. From this, the final sample size calculated was 385. Multi-stage sampling technique was used. A semi-structured and pre-tested questionnaire, guided by interviewer was used to collect the information. It was first prepared in English and then translated to Amharic and then translated back for consistency. Information collected included a questionnaire on demographic factors such as: maternal age; number of children; age at marriage and first sexual intercourse; previous unintended pregnancies; socio-economic and cultural factors such as education and ethnicity; husband desire for family size; desired number of children; experience of sexual violence; access to health services; and, questions on behavioral factors on modern contraceptive practice (including emergency contraceptives and breast feeding) and on reproductive history and unintended pregnancy. Four female college students and supervisor (a degree-holder) who knew the local language participated in data collection. Two days of training was given to data collectors and supervisors on the objectives of the study, the contents of the questionnaire, and particularly on issues related to the confidentiality of the responses and the rights of respondents. One week prior to data collection a pre-test was conducted in another Woreda (Ana Lemo) on 5% of the sample size. Twelve in-depth interviews were conducted with 12 individuals using purposive and convenient techniques. Six health professionals participated in the study (health professionals working at reproductive health clinics: one from safe, one from post-abortion care service, one from family planning services, one from antenatal care and two urban health extension workers). In addition, clients attending antenatal care (four) and family planning (two) were interviewed. Data collected were cleaned, edited, coded and entered to a computer, checked for missing values and outliers and analyzed using SPSS for windows version 16.0 (SPSS Inc. version 16.1., Chicago, Illinois). Simple descriptive frequency tables and then bivariate analyses were carried out. To identify the predictors of unintended pregnancy, a multivariable logistic regression model with unintended pregnancy as a dependent variable was constructed. Variables that showed significant association with unintended pregnancy on the bivariate analyses were entered into the adjusted logistic model. Interaction between variables was checked at the level of significance for the interaction term of P<0.05. The qualitative data were organized by selected themes, summarized manually and the results were triangulated with the quantitative findings. Ethical approval was found from ethical review committee of Jimma University. Written consent was obtained from Hadiya zone health office and Hossana town health office administrations. Verbal informed consent was obtained from each respondent and confidentiality was assured before conducting the data collection, to respect the respondents participating in the study. The following standard and operational definitions were used; Unintended pregnancy is a pregnancy that is either mistimed (occurred earlier than desired) or unwanted (occurred when no children or no more children were desired) at the time of conception.

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Based on the provided information, here are some potential innovations that could improve access to maternal health:

1. Mobile health (mHealth) applications: Develop mobile applications that provide pregnant women with information on prenatal care, nutrition, and safe delivery practices. These apps can also send reminders for antenatal visits and provide access to teleconsultations with healthcare providers.

2. Community health workers: Train and deploy community health workers to provide education and support to pregnant women in remote areas. These workers can conduct home visits, provide basic antenatal care, and refer women to healthcare facilities when necessary.

3. Telemedicine: Establish telemedicine services to connect pregnant women in rural areas with healthcare providers in urban centers. This would allow for remote consultations, diagnosis, and treatment, reducing the need for women to travel long distances for healthcare.

4. Mobile clinics: Set up mobile clinics that travel to remote areas to provide antenatal care, prenatal screenings, and basic obstetric services. This would bring healthcare services closer to pregnant women who have limited access to healthcare facilities.

5. Maternal health vouchers: Implement a voucher system that provides pregnant women with subsidized or free access to antenatal care, delivery services, and postnatal care. This would help reduce financial barriers and increase utilization of maternal health services.

6. Public-private partnerships: Foster collaborations between the government, private sector, and non-profit organizations to improve access to maternal health services. This could involve leveraging private sector resources and expertise to expand healthcare infrastructure and services in underserved areas.

7. Health education campaigns: Conduct targeted health education campaigns to raise awareness about the importance of antenatal care, safe delivery practices, and postnatal care. These campaigns can be delivered through various channels, such as radio, television, community meetings, and social media.

8. Maternity waiting homes: Establish maternity waiting homes near healthcare facilities to accommodate pregnant women who live far away. These homes would provide a safe and comfortable place for women to stay during the final weeks of pregnancy, ensuring timely access to healthcare services.

9. Task-shifting and training: Train and empower non-specialized healthcare providers, such as nurses and midwives, to perform certain tasks traditionally done by doctors. This would help alleviate the shortage of skilled healthcare professionals and increase access to maternal health services.

10. Strengthening referral systems: Improve the coordination and effectiveness of referral systems between primary healthcare facilities and higher-level hospitals. This would ensure that pregnant women with complications are promptly referred to appropriate facilities for specialized care.

It is important to note that the implementation of these innovations should be context-specific and tailored to the local healthcare system and resources available in Southern Ethiopia.
AI Innovations Description
Based on the information provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Increase access to family planning services: Since unintended pregnancies are a major issue contributing to maternal health problems, it is important to improve access to family planning services. This can be done by establishing more reproductive health clinics and training health professionals to provide comprehensive family planning counseling and services.

2. Educate women and their partners about family planning: Many factors contribute to unintended pregnancies, including a lack of knowledge about contraceptive methods and their proper use. Implementing educational programs that target both women and their partners can help increase awareness and understanding of family planning methods, thus reducing the risk of unintended pregnancies.

3. Address cultural and socio-economic barriers: Cultural and socio-economic factors can influence a woman’s ability to access maternal health services. It is important to address these barriers by working with community leaders and stakeholders to promote positive attitudes towards family planning and maternal health, and by implementing programs that address socio-economic inequalities.

4. Improve antenatal and delivery care services: The study revealed that a low percentage of women in the area received antenatal and delivery care services. To improve access to maternal health, it is crucial to strengthen these services by ensuring that they are available, affordable, and of high quality. This can be achieved by training and deploying more skilled health professionals, improving infrastructure and equipment, and implementing supportive policies.

5. Enhance data collection and analysis: The study conducted a community-based cross-sectional study using both quantitative and qualitative methods. This approach provides valuable insights into the factors associated with unintended pregnancies. To further improve access to maternal health, it is important to continue collecting and analyzing data on maternal health indicators, such as unintended pregnancies, to inform evidence-based decision-making and program planning.

By implementing these recommendations, it is possible to develop innovative strategies that can improve access to maternal health and reduce the prevalence of unintended pregnancies, ultimately leading to better health outcomes for women and their families.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Strengthening reproductive health education: Implement comprehensive and age-appropriate reproductive health education programs in schools and communities to increase awareness about family planning, contraception, and the importance of planned pregnancies.

2. Increasing availability of contraceptives: Improve access to a wide range of affordable and high-quality contraceptive methods, including long-acting reversible contraceptives (LARCs), through increased distribution and availability in healthcare facilities and community settings.

3. Enhancing healthcare infrastructure: Invest in improving healthcare infrastructure, particularly in rural areas, by increasing the number of well-equipped and staffed health facilities that provide maternal health services, including antenatal care, skilled birth attendance, and postnatal care.

4. Strengthening community-based healthcare services: Train and deploy community health workers to provide essential maternal health services, including antenatal and postnatal care, family planning counseling, and referrals to higher-level healthcare facilities when needed.

5. Addressing cultural and social barriers: Conduct community engagement programs to address cultural and social barriers that prevent women from accessing maternal health services, such as gender norms, stigma, and misconceptions about contraception and family planning.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could involve the following steps:

1. Baseline data collection: Gather data on the current status of access to maternal health services, including indicators such as the percentage of women receiving antenatal care, skilled birth attendance, and postnatal care, as well as the prevalence of unintended pregnancies.

2. Define simulation parameters: Determine the specific parameters to be simulated, such as the increase in contraceptive availability, the number of healthcare facilities to be improved, the number of community health workers to be trained and deployed, and the target population to be reached.

3. Model development: Develop a simulation model using appropriate software or statistical tools. The model should incorporate the baseline data, the defined parameters, and assumptions about the potential impact of the recommendations on improving access to maternal health.

4. Data analysis and interpretation: Run the simulation model using different scenarios based on the defined parameters. Analyze the results to assess the potential impact of each recommendation on improving access to maternal health, including changes in the percentage of women receiving maternal health services and reductions in unintended pregnancies.

5. Sensitivity analysis: Conduct sensitivity analysis to test the robustness of the simulation model by varying the input parameters and assessing the impact on the results. This helps to identify the most influential factors and potential limitations of the recommendations.

6. Communication and decision-making: Present the simulation results in a clear and concise manner to stakeholders, policymakers, and healthcare providers. Use the findings to inform decision-making processes and prioritize the implementation of the recommendations based on their potential impact on improving access to maternal health.

It is important to note that the methodology for simulating the impact of recommendations may vary depending on the specific context and available data.

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