Factors associated with timely antenatal care booking among pregnant women in remote area of bule hora district, Southern Ethiopia

listen audio

Study Justification:
This study aimed to assess the proportion and factors associated with early antenatal care (ANC) booking among pregnant women in a remote area of Bule Hora district, Southern Ethiopia. The study is justified by the importance of ANC in improving maternal and child health outcomes, especially in developing countries where access to care and women’s empowerment are limited. Understanding the factors that influence timely ANC booking can help inform interventions and policies to improve maternal health in the study area.
Highlights:
– The proportion of early ANC booking among pregnant women in the study area was 57.8%.
– Factors contributing to early ANC booking included husband’s education, knowledge on ANC service, means of approving current pregnancy, and being advised before starting ANC visit.
– The timely initiation of ANC among pregnant mothers is not ideal, highlighting the need for interventions to improve ANC utilization.
– Modifiable factors such as providing proper information about ANC services and enhancing the health extension program can increase community awareness and improve ANC initiation.
Recommendations:
– Health care providers should provide proper information about ANC services to pregnant women.
– The health extension program should be enhanced to increase community awareness about ANC before and during pregnancy.
– Interventions should focus on improving husband’s education and involvement in ANC decision-making.
– Efforts should be made to ensure that pregnant women are advised before starting ANC visits.
Key Role Players:
– Health care providers: Responsible for providing proper information about ANC services.
– Health extension workers: Responsible for enhancing community awareness about ANC.
– Educators: Responsible for improving husband’s education on the importance of ANC.
– Policy makers: Responsible for implementing policies and interventions to improve ANC initiation.
Cost Items for Planning Recommendations:
– Training and capacity building for health care providers and health extension workers.
– Development and dissemination of educational materials on ANC.
– Community awareness campaigns.
– Monitoring and evaluation of interventions.
– Policy development and implementation.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study design is mentioned, and the sample size calculation is provided, which adds to the strength of the evidence. The data collection methods and statistical analysis are also described. However, the abstract lacks specific details about the results, such as the magnitude of the odds ratios and the confidence intervals. Additionally, there is no mention of potential limitations or biases in the study. To improve the evidence, the abstract should include more specific results and discuss any limitations or biases that may have affected the findings.

Background: Antenatal care (ANC) is one of the most cost-effective and crucial compo-nents of maternal health care services. In developing countries where access to care, empowerment, and decision making power of women is low, ANC service is vital. The time at which first ANC visit was done has the utmost importance to ensure optimal health effects for both women and children. This study aimed to assess the proportion and factors associated with early antenatal care booking among pregnant women who were attending public health institutions in a remote area of Bule Hora district, Southern Ethiopia, from May to July, 2019. Methods: Institutional-based cross-sectional study design was conducted at Bule Hora district public health facilities. Data were collected on systematically selected 377 pregnant women from 1st May to 30th July 2019. The sample size was determined by single population proportion formula and data were collected by using a standardized and pretested questionnaire and entered into Epidata 3.1 version, and then exported to Statistical Package for Social Science (SPSS) version 25 for analysis. The strength of association was measured by odds ratios with 95% confidence interval (CI) at a p-value of <0.05 and finally obtained results were presented by using simple frequency tables, bar graph, and texts. Results: The proportion of early antenatal care booking among pregnant women attending antenatal care in the study area was 57.8%. Factors contributing to early antenatal care booking were husband’s education (Adjusted odds ratio (AOR), 2.5; 95% CI: 1.2, 4.9), knowledge on antenatal care service (AOR,1.99; 95% CI:1.2,3.3), means of approving current pregnancy (AOR,1.8; 95% CI:1.1,2.8), and being advised before starting antenatal care visit (AOR,2.1; 95% CI:1.2,3.6). Conclusion: Generally, the timely initiation of ANC among pregnant mothers is not ideal. Modifiable factors like husband’s education, knowledge on antenatal care service, means of recognizing current pregnancy, and access to pre-ANC advice were found determinants for the timely initiation of ANC. Thus, it is advisable to provide proper information about antenatal care services by health care providers and enhancement of health extension program to increase community awareness before and during pregnancy at all levels of health care provision is very important.

The study was conducted in Bule Hora district, West Guji Zone, Oromia regional state, Southern Ethiopia. The district is one of the remotest areas located at a distance of 467 Km away from the country’s capital, Addis Ababa. According to the 2018 report of zonal statistics office, the district has a total population of 263, 780 among which 49% (130 703) males, 51% (133 077) females. Bule Hora district has one general hospital and 6 health centers with 183 and 286 health care workers respectively. Institution-based cross-sectional study design was employed to assess the proportion of early antenatal care booking and associated factors among pregnant women. The study was conducted from May to July 2019. The source population was all pregnant women who were attending ANC clinic in public health institutions of Bule Hora district while the study populations were randomly selected pregnant women who were following ANC service at public health institutions of Bule Hora district during the data collection period and fulfills inclusion criteria. Pregnant women who were attending antenatal care clinics for ANC services were included whereas pregnant women who came after attending ANC service at another health facility were excluded. These women were excluded because; their gestational age at their first visit might not be known. The sample size was calculated for each specific objective and the optimal sample size was selected. For the proportion of early ANC booking, the sample size was determined using a single population proportion formula n= (Zα/2)2 p (1-p)/d2 with the following assumptions: the proportion of early ANC booking was taken from the previous study done in Dilla town which was 35.4%.15 The significant level at α= 0.05, with 95% CI, a maximum acceptable marginal error of 5%, and a non-response rate of 10% was used to obtain a final sample size of 386. All public health facilities found in Bule Hora districts that were providing ANC services during the study period namely, Bule Hora general hospital, Bule Hora Health Center, Kilenso Mokonisa Health Center, and Garba Health Center were included based on their client flow. The total sample size was proportionally allocated to these health facilities based on the previous average two-month flow of pregnant women for ANC in each health facility. The study respondents were recruited by using a systematic random sampling technique of every 2nd client after identification of the first study subject by lottery method. Early ANC booking. Maternal age, educational status, Ethnicity, religion, monthly income, marital status, residence, husband education, husband occupation. Parity, number of alive children, planned pregnancy/wanted pregnancy, medical complication in a previous pregnancy, previous birth outcome, previous use of ANC service, women decision on ANC, husband involvement on ANC, pregnancy approval by a spouse. Perceived starting time, number of ANC visits, source of information. Distance, cost of service, waiting time. Booking for first ANC before 16 weeks of gestational age after pregnancy is confirmed either by missed period or urine test for the current pregnancy.16 Each knowledge question answered correctly was scored one mark while the question answered incorrectly was scored zero marks. The total score ranging from 0–7 obtained by each respondent was added up and was computed to categorize knowledge into: Those pregnant women who answered knowledge-related questions of above 60%.17 Those pregnant women who answered knowledge-related questions of below 60%.17 Data were collected using standardized and pretested questionnaires by interviewing pregnant mothers. The tool was adapted from Safe motherhood and modified from different literatures.15,18 The questionnaire had six parts which consist of socio-demographic characteristics, knowledge of ANC, current pregnancy and experience of health services utilization, obstetric history of the mother, health service-related, and women decision making and husband involvement. The data collection tool was first prepared in English and then translated to regional working language, Afaan Oromo, by language experts. The tool was retranslated back into English by other language experts to check for consistency. The edited final version of Afaan Oromo questionnaire was used for data collection. Four degree holder professional nurses were recruited based on their experience of data collection and communication skills with pregnant mothers and two lecturers were assigned for supervision from Bule Hora University based on their language skills and experience. Pregnant women were interviewed on exit after they completed their daily visits. Client card was also reviewed to extract important variables, like the gestational age of the mother for those women who were not sure of their gestational age. To control the quality of data, the questionnaire was pre-tested on 5% of the study population at Finchawa health center which was different from the selected health institutions. Data collectors along with the supervisors were trained for two days on the purpose of the study, study tools, data collection procedures, and data handling. Supervisors carried out their regular supervision, spot-checking, and reviewing the completed questionnaire daily to maintain data quality. The overall activity was coordinated by the principal investigator. Data were entered into Epidata 3.1 version and exported to SPSS version 25 statistical software for analysis. Cross tabulation was done among dependent and independent variables for data exploration and to compute descriptive summary statistics. The descriptive statistics result of numerical variables expressed by mean with standard deviation while categorical variables were presented using frequency with percentage, and displayed by tables, bar graph, line graph, and pie chart, whereas the normality of continuous variables was checked by histogram and Shapiro-Wilk test. Bivariable logistic regression analysis was used to assess the association between the dependent and all the independent variables and to identify candidate variables for multivariable analysis with p-value 0.05 and the value was 0.908.19 The variance inflation factors (VIF) was used to test multicollinearity among predictor variables. Ethical clearance was obtained from the Institutional Ethical approval Committee of Wollega University. A formal letter from the Institute of health sciences of Wollega University was written to the Bule Hora district, and then the permission and support letter was written to each health facility. Written consent was obtained from each study participants after explaining the purpose of the data collection and before the interview. Respondents’ names were not written on the questionnaire for anonymity and confidentiality of their information. Assent was obtained from participants under the age of 18 years, and was approved by Institutional Ethical approval Committee of Wollega University to provide informed consent on their own behalf. They were also informed that they were free to withdraw from the interview and study at any time. This study was conducted in accordance with the Declaration of Helsinki.

N/A

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

1. Mobile Health (mHealth) Applications: Develop and implement mobile health applications that provide pregnant women with information about antenatal care, pregnancy milestones, and reminders for appointments. These applications can also include features such as teleconsultations with healthcare providers and access to educational resources.

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

3. Telemedicine: Establish telemedicine services to connect pregnant women in remote areas with healthcare providers. This can enable remote consultations, monitoring of maternal health indicators, and timely interventions when needed.

4. Transportation Support: Develop transportation systems or programs that provide affordable and accessible transportation for pregnant women to reach healthcare facilities for antenatal care services. This can include initiatives such as community-based transportation networks or partnerships with local transportation providers.

5. Health Education Programs: Implement comprehensive health education programs that target both pregnant women and their families. These programs can focus on raising awareness about the importance of early antenatal care booking, the benefits of regular antenatal care visits, and the role of family support in ensuring maternal health.

6. Maternal Health Vouchers: Introduce voucher programs that provide pregnant women with financial assistance to cover the costs of antenatal care services. These vouchers can be distributed to women in remote areas and redeemed at healthcare facilities, reducing financial barriers to accessing care.

7. Telehealth Clinics: Establish telehealth clinics in remote areas, equipped with the necessary technology and healthcare professionals to provide antenatal care services remotely. This can help overcome geographical barriers and ensure that pregnant women receive timely and quality care.

8. Public-Private Partnerships: Foster collaborations between public and private sectors to improve access to maternal health services. This can involve partnerships with private healthcare providers to expand service coverage in remote areas or collaborations with technology companies to develop innovative solutions for maternal health.

It is important to note that the implementation of these innovations should be context-specific and tailored to the needs and resources of the specific area or community.
AI Innovations Description
The study titled “Factors associated with timely antenatal care booking among pregnant women in remote area of Bule Hora district, Southern Ethiopia” aimed to assess the proportion and factors associated with early antenatal care (ANC) booking among pregnant women attending public health institutions in a remote area of Bule Hora district.

The study found that the proportion of early ANC booking among pregnant women in the study area was 57.8%. Factors contributing to early ANC booking included husband’s education, knowledge on ANC service, means of approving current pregnancy, and being advised before starting ANC visit.

Based on the findings of this study, the following recommendations can be made to develop innovations and improve access to maternal health:

1. Increase awareness and education: Health care providers should provide proper information about ANC services to pregnant women and their families. This can be done through health education sessions, community outreach programs, and the use of informational materials such as brochures or posters.

2. Enhance the health extension program: The health extension program, which is a community-based health care delivery system in Ethiopia, should be strengthened to increase community awareness before and during pregnancy. Health extension workers can play a crucial role in educating women and their families about the importance of early ANC booking and providing guidance on accessing ANC services.

3. Improve spousal involvement: Encouraging husbands to be actively involved in the ANC process can have a positive impact on early booking. Health care providers should promote the importance of spousal support and involvement in ANC through counseling sessions and educational materials targeted at both men and women.

4. Address barriers to access: Efforts should be made to address barriers such as distance, cost of services, and waiting time. This can be done by improving transportation options, reducing or eliminating fees for ANC services, and streamlining the appointment system to minimize waiting times.

5. Continuous monitoring and evaluation: Regular monitoring and evaluation of ANC services should be conducted to assess the effectiveness of interventions and identify areas for improvement. This can help ensure that pregnant women have timely access to quality ANC services.

By implementing these recommendations, it is possible to develop innovative strategies that can improve access to maternal health and increase the proportion of pregnant women who book ANC services early, leading to better health outcomes for both women and children.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health:

1. Increase awareness and education: Implement programs to provide proper information about antenatal care services to pregnant women and their families. This can be done through health care providers, community health workers, and health extension programs.

2. Improve husband involvement: Encourage husbands to be actively involved in the antenatal care process. This can be achieved by educating husbands about the importance of ANC, addressing cultural barriers, and promoting joint decision-making regarding ANC visits.

3. Enhance access to pre-ANC advice: Ensure that pregnant women receive advice and information about the importance of early antenatal care before they start their ANC visits. This can be done through community outreach programs, health education sessions, and targeted messaging.

4. Address financial barriers: Explore ways to reduce the cost of ANC services, such as providing subsidies or financial assistance to pregnant women who may face financial constraints. This can help remove a significant barrier to accessing timely antenatal care.

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

1. Define the indicators: Identify key indicators that measure access to maternal health, such as the proportion of pregnant women booking early antenatal care, the number of ANC visits, and the gestational age at the first ANC visit.

2. Collect baseline data: Gather data on the current status of access to maternal health in the target population. This can be done through surveys, interviews, or existing data sources.

3. Develop a simulation model: Create a simulation model that incorporates the identified recommendations and their potential impact on the selected indicators. This model should consider factors such as population size, demographic characteristics, and existing healthcare infrastructure.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the impact of the recommendations. This can involve adjusting variables such as the proportion of pregnant women booking early ANC, husband involvement rates, and access to pre-ANC advice.

5. Analyze results: Analyze the simulation results to determine the potential impact of the recommendations on improving access to maternal health. This can include assessing changes in the selected indicators and identifying any potential challenges or limitations.

6. Refine and validate the model: Refine the simulation model based on the analysis of the results and validate it using additional data or expert input. This will help ensure the accuracy and reliability of the simulation findings.

7. Communicate findings and make recommendations: Present the simulation findings to relevant stakeholders, such as policymakers, healthcare providers, and community leaders. Use the findings to make evidence-based recommendations for improving access to maternal health, taking into account the potential impact of the identified recommendations.

Share this:
Facebook
Twitter
LinkedIn
WhatsApp
Email