Factors associated with changes in adequate antenatal care visits among pregnant women aged 15-49 years in Tanzania from 2004 to 2016

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Study Justification:
This study aimed to investigate the factors associated with changes in adequate antenatal care (ANC) visits among pregnant women in Tanzania from 2004 to 2016. The justification for this study is that ANC is crucial for the health of both the mother and the unborn child, as it provides important health interventions that can prevent maternal and newborn morbidity and mortality. However, Tanzania has sub-optimal rates of adequate ANC visits, and the trend has been fluctuating over time. Understanding the factors contributing to these fluctuations is essential in increasing the proportion of pregnant women receiving adequate ANC visits in Tanzania.
Study Highlights:
– The overall proportion of women with adequate ANC visits in Tanzania was 62% in 2004/05, 43% in 2010, and 51% in 2015/16.
– The increase in the proportion of women with adequate ANC visits from 2010 to 2015/16 was mainly due to changes in population structure (66.2%) and improvements in health behavior.
– Early initiation of the first ANC visit contributed significantly to the overall changes in adequate ANC attendance in the 2015/16 survey.
Study Recommendations:
– Prioritize interventions to promote early initiation of the first ANC visit within the first twelve weeks of pregnancy.
– Increase awareness and education about the importance of ANC visits among pregnant women and their families.
– Improve access to ANC services, particularly in rural areas.
– Strengthen health systems and infrastructure to support the delivery of quality ANC services.
– Enhance collaboration between healthcare providers, policymakers, and community stakeholders to address barriers to adequate ANC visits.
Key Role Players:
– Ministry of Health: Responsible for policy development and implementation of interventions to improve ANC services.
– Healthcare Providers: Deliver ANC services and provide counseling and support to pregnant women.
– Community Health Workers: Play a crucial role in raising awareness, promoting ANC, and providing education at the community level.
– Non-Governmental Organizations (NGOs): Support the implementation of ANC programs and provide resources and training.
– Researchers and Academics: Conduct further studies to monitor and evaluate the impact of interventions and identify new strategies to improve ANC services.
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers and community health workers.
– Infrastructure development and improvement of healthcare facilities.
– Procurement of essential equipment and supplies for ANC services.
– Information, education, and communication materials for raising awareness.
– Monitoring and evaluation activities to assess the effectiveness of interventions.
– Collaboration and coordination efforts between stakeholders.
– Research and data collection to inform evidence-based decision-making.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong because it is based on a large sample size (17,976 women) and uses data from a national representative survey (Tanzania Demographic Health Survey). The study also conducted statistical analyses (Poisson regression and decomposition analysis) to determine factors associated with adequate ANC visits and changes over time. However, to improve the evidence, the abstract could provide more details on the methodology, such as the specific variables included in the analyses and the statistical significance of the findings. Additionally, it would be helpful to include information on any limitations of the study and recommendations for future research.

Background: Antenatal care (ANC) is crucial for the health of the mother and unborn child as it delivers highly effective health interventions that can prevent maternal and newborn morbidity and mortality. In 2002, the World Health Organization (WHO) recommended a minimum of four ANC visits for a pregnant woman with a positive pregnancy during the entire gestational period. Tanzania has sub-optimal adequate (four or more) ANC visits, and the trend has been fluctuating over time. An understanding of the factors that have been contributing to the fluctuating trend over years is pivotal in increasing the proportions of pregnant women attaining adequate ANC visits in Tanzania. Methods: The study used secondary data from Tanzania Demographic Health Survey (TDHS) from 2004 to 2016. The study included 17976 women aged 15-49 years. Data were analyzed using Stata version 14. Categorical and continuous variables were summarized using descriptive statistics and weighted proportions. A Poisson regression analysis was done to determine factors associated with adequate ANC visits. To determine factors associated with changes in adequate ANC visits among pregnant women in Tanzania from 2004 to 2016, multivariable Poisson decomposition analysis was done. Results: The overall proportion of women who had adequate ANC visits in 2004/05, 2010 and 2015/16 was 62, 43 and 51% respectively. The increase in the proportion of women attaining adequate ANC from 2010 to 2015/16 was mainly, 66.2% due to changes in population structure, thus an improvement in health behavior. While 33.8% was due to changes in the mother’s characteristics. Early initiation of first ANC visit had contributed 51% of the overall changes in adequate ANC attendance in TDHS 2015/16 survey. Conclusion: Early ANC initiation has greatly contributed to the increased proportion of pregnant women who attain four or more ANC visits overtime. Interventions on initiating the first ANC visit within the first twelve weeks of pregnancy should be a priority to increase proportion of women with adequate ANC visit.

The study was conducted in Tanzania, which includes the mainland and island. This was a Crossectional study that used data from the Tanzania Demographic Health Survey (TDHS), Further details of the survey are available elsewhere [13], but in brief this is a national representative survey done after five years with the objective to obtain the current and reliable information on demographic and health indicators about family planning, fertility levels and preferences, maternal mortality, infant and child mortality, nutritional status of mothers and children, ANC, delivery care, and childhood immunizations and diseases. Data were obtained from www.dhsprogram.com, after being granted permission to access and use TDHS data. Data from 2004/04, 2010 and 2015/16 surveys were used. The population was all women of reproductive age (15-49 years) who had given birth to at least one child within the five years before the survey and had information on ANC visits. For a woman with multiple births during the five-year period, we considered mother’s last birth within 5 years prior the survey for this analysis. A total of 33,734 women aged 15-49 years in Tanzania participated in the three TDHS surveys. After excluding those with missing information on ANC visits, we remained with a total of 17,976. Of 17,976 women enrolled in the study: 4541(77.9%), 4201(76.9%) and 5193(70.1%) for 2004/05, 2010 and 2015/16 surveys respectively (Fig. ​(Fig.11). Flow chart showing participants enrolled in the study per respective survey years Our dependent variable was adequate ANC visits, which was categorized as four or more ANC visits and coded 1, less than four ANC visits as inadequate were coded 0. Independent variables were respondent’s age at last birth (15-19 years, 20-24 years, 25-29 years, 30-34 years, 35+ years), education level (no formal education, primary education, secondary and higher education), employment status (unemployed, employed), marital status (married/cohabiting, single, divorced/widowed/separated), residence (urban, rural), wealth index (poorest, poorer, middle, richer, richest), zones; these are administrative regions grouped according to geographical location (western zone, northern zone, central zone, southern highlands, southern zone, south west highlands zone, lake zone, eastern zone, Zanzibar), first ANC initiated (women with first ANC visit later than 12 gestational weeks, women with first ANC visit by 12 gestational weeks), decision maker of respondent’s health care (respondent alone, respondent and partner, partner alone, someone else), parity (1 child, 2-3 children, 4-5 children, 6 or more children), frequency of listening to radio (not at all, Less than once a week, at least once a week), frequency of watching TV (not at all, less than once a week, at least once a week), desire of last pregnancy (wanted then, wanted later, wanted no more), history of terminated pregnancy (never had, ever had) and distance from health facility (big problem, not a big problem). The selection of variables was made using the Andersen’s Behavioural Model of Health Services Use [20]. All these variables were considered as mother’s characteristics and population characteristics in the analysis. Data were analyzed using STATA Corporation, College Station, TX, USA version 14 (Stata/SE 14.2). The analysis considered the complex survey features: primary sampling units, strata, and sampling weights. A Poisson regression analysis was done to determine factors associated with adequate ANC visits. Multivariable Poisson decomposition analysis was conducted to determine factors associated with changes in adequate ANC visits. Decomposition analysis was conducted to understand whether observed changes in adequate ANC visits could be explained by changes in factors over time or in the population structure (population dynamics). To explain the observed change in the percentage of pregnant women attaining adequate ANC visits, we used the Blinder-Oaxaca decomposition analysis [21–23]. The main goal decomposition analysis was to explain on the individual contributions of the factors on adequate ANC visits differences among pregnant women in Tanzania in different surveys. The differentials in adequate ANC visits between these groups was portioned into two components, one that can be attributable to differences in characteristics and the component that is attributable to the effect of those characteristics. The factors might have a different contribution on the change observed at different survey period. The decomposition analysis was done between two time points, at first, we decomposed survey year 2004/05 to 2010 and lastly survey year 2015/16 to 2010. The baseline survey year was the one with the lowest proportion of pregnant women with adequate ANC visits, thus survey year 2010 for both decomposition analysis. Contributions were considered statistically significant at a P-value of less than 0.05.

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

1. Mobile health (mHealth) interventions: Develop mobile applications or text messaging services to provide pregnant women with information and reminders about antenatal care visits, including the importance of early initiation of ANC.

2. Community health workers: Train and deploy community health workers to provide education and support to pregnant women in remote or underserved areas, ensuring they have access to adequate ANC services.

3. Telemedicine: Implement telemedicine services to enable pregnant women to consult with healthcare providers remotely, reducing the need for travel and improving access to specialized care.

4. Transport solutions: Establish transportation systems or partnerships to provide pregnant women with reliable and affordable transportation to healthcare facilities for ANC visits and delivery.

5. Financial incentives: Introduce financial incentives, such as conditional cash transfers or vouchers, to encourage pregnant women to attend ANC visits and overcome financial barriers to accessing maternal health services.

6. Health education campaigns: Conduct targeted health education campaigns to raise awareness about the importance of ANC visits and early initiation of care, addressing cultural beliefs and misconceptions that may hinder access.

7. Strengthening healthcare infrastructure: Invest in improving healthcare infrastructure, including the availability and quality of ANC services, to ensure that pregnant women have access to comprehensive and timely care.

These innovations have the potential to address the factors identified in the study and contribute to improving access to maternal health services in Tanzania.
AI Innovations Description
Based on the study conducted in Tanzania, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Promote early initiation of antenatal care (ANC) visits: The study found that early initiation of the first ANC visit greatly contributed to an increased proportion of pregnant women attaining four or more ANC visits over time. Therefore, interventions should focus on encouraging pregnant women to seek ANC services within the first twelve weeks of pregnancy.

Innovation: Develop a mobile application or SMS-based reminder system that sends personalized messages to pregnant women, reminding them to schedule and attend their first ANC visit within the recommended timeframe. The messages can also provide information on the importance of early ANC initiation and the benefits it offers to both the mother and unborn child.

2. Improve education and awareness: The study identified education level as one of the factors associated with adequate ANC visits. Women with higher education were more likely to have adequate ANC visits compared to those with no formal education. Therefore, efforts should be made to improve education and awareness about the importance of ANC among women with lower education levels.

Innovation: Implement community-based education programs that target women with lower education levels. These programs can include interactive workshops, peer support groups, and the distribution of educational materials in local languages. Additionally, partnerships with local schools and community organizations can be established to provide comprehensive reproductive health education to young girls.

3. Address geographical barriers: The study found that distance from health facilities was a significant factor affecting access to ANC. Pregnant women who perceived distance as a big problem were less likely to have adequate ANC visits. Therefore, strategies should be implemented to address geographical barriers and improve access to health facilities.

Innovation: Establish mobile clinics or outreach programs that provide ANC services in remote or underserved areas. These clinics can be equipped with basic medical equipment and staffed by trained healthcare professionals who can conduct ANC visits and provide essential prenatal care. Additionally, telemedicine technologies can be utilized to connect pregnant women in remote areas with healthcare providers for virtual consultations and follow-up care.

By implementing these recommendations as innovative solutions, access to maternal health can be improved in Tanzania, leading to better health outcomes for both mothers and newborns.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health in Tanzania:

1. Strengthening Health Education: Implement comprehensive health education programs that focus on the importance of antenatal care (ANC) visits, early initiation of ANC, and the benefits of regular check-ups during pregnancy. This can be done through community outreach programs, media campaigns, and partnerships with local organizations.

2. Improving Healthcare Infrastructure: Invest in improving healthcare infrastructure, particularly in rural areas where access to healthcare facilities may be limited. This includes building and equipping more health clinics and maternity centers, ensuring they have trained healthcare professionals, and providing necessary resources for ANC services.

3. Enhancing Transportation Services: Address transportation barriers by improving access to reliable and affordable transportation options for pregnant women, especially in remote areas. This can be done through initiatives such as providing transportation vouchers or subsidies, establishing community transport systems, or partnering with local transport providers.

4. Empowering Women: Promote women’s empowerment and involvement in decision-making regarding their healthcare. This can be achieved through education and awareness programs that emphasize the importance of women’s rights, autonomy, and active participation in their own healthcare decisions.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define the indicators: Identify key indicators that measure access to maternal health, such as the proportion of pregnant women receiving adequate ANC visits, the percentage of women initiating ANC within the first twelve weeks of pregnancy, and the distance from health facilities.

2. Collect baseline data: Gather data on the current status of these indicators in Tanzania, using sources such as the Tanzania Demographic Health Survey (TDHS) or other relevant surveys. This will provide a baseline against which the impact of the recommendations can be measured.

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 dynamics, changes in healthcare infrastructure, transportation availability, and women’s empowerment.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to estimate the potential impact of the recommendations. This can be done by adjusting the relevant variables in the model to reflect the implementation of each recommendation and observing the resulting changes in the indicators.

5. Analyze results: Analyze the simulation results to determine the potential impact of each recommendation on improving access to maternal health. This can be done by comparing the simulated values of the indicators with the baseline data, and assessing the magnitude of change.

6. Validate and refine the model: Validate the simulation model by comparing the simulated results with real-world data, if available. Refine the model as needed to improve its accuracy and reliability.

7. Communicate findings: Present the findings of the simulation analysis, including the estimated impact of each recommendation on improving access to maternal health. This information can be used to inform policy decisions, resource allocation, and the development of targeted interventions to address the identified gaps.

It is important to note that the methodology described above is a general framework and may need to be adapted based on the specific context and data availability in Tanzania.

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