Prevalence and correlates of pregnancy self-testing among pregnant women attending antenatal care in western Kenya

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Study Justification:
– Little is known about the prevalence and characteristics of women who use pregnancy self-tests in sub-Saharan Africa.
– Pregnancy self-testing is associated with early antenatal care initiation.
– Understanding the characteristics of women who use pregnancy self-tests can improve pregnancy testing experiences and entry into antenatal care.
Study Highlights:
– 17% of women in the study population obtained a pregnancy self-test from a pharmacy.
– Pregnancy test use was higher among employed women, women with secondary and college-level educated partners, and women who spent 30 minutes or less traveling to the maternal and child health clinic.
– Reasons for non-use of pregnancy self-tests included not thinking it was necessary, lack of knowledge, and lack of money to pay for the test.
Study Recommendations:
– Future research should focus on understanding the knowledge and attitudes of women toward pregnancy self-testing.
– Community-based models should be developed to improve access to pregnancy testing and antenatal care.
Key Role Players:
– Researchers and research assistants
– Healthcare providers
– Community health workers
– Policy makers
– Non-governmental organizations
Cost Items for Planning Recommendations:
– Research personnel salaries
– Data collection and analysis tools
– Training and capacity building for healthcare providers and community health workers
– Community outreach and education materials
– Transportation and logistics for fieldwork
– Communication and dissemination of findings

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 conducted a cross-sectional survey among pregnant women in western Kenya to determine the prevalence and factors associated with pregnancy self-testing. The study collected data as part of a baseline survey among pregnant women enrolling in the PrEP Implementation for Mothers in Antenatal Care (PrIMA) study. The study analyzed variables that were hypothesized to be associated with pregnancy self-test use and early ANC initiation. The study used bivariate and multivariable logistic regression analyses to examine the associations between the independent variables and the dependent variables. The study had a large sample size and included a diverse range of factors. However, the study relied on self-reported data, which may introduce bias. Additionally, the study did not provide information on the response rate or the representativeness of the study population. To improve the strength of the evidence, future studies could consider using objective measures instead of self-reported data and provide information on the response rate and representativeness of the study population.

In sub-Saharan Africa little is known about how often women use pregnancy self-tests or characteristics of these women despite evidence that pregnancy self-testing is associated with early antenatal care (ANC) initiation. Understanding the characteristics of women who use pregnancy self-tests can facilitate more targeted efforts to improve pregnancy testing experiences and entry into the ANC pathway. We conducted a cross-sectional survey among pregnant women enrolling in a pre-exposure prophylaxis (PrEP) implementation study to determine the prevalence and factors associated with pregnancy self-testing among women in western Kenya. Overall, in our study population, 17% of women obtained a pregnancy self-test from a pharmacy. Pregnancy test use was higher among employed women, women with secondary and college-level educated partners, and women who spent 30 minutes or less traveling to the maternal and child health (MCH) clinic. The most reported reasons for non-use of pregnancy self-tests included not thinking it was necessary, lack of knowledge, and money to pay for the test. Future research should focus on understanding the knowledge and attitudes of women toward pregnancy self-testing as well as developing community-based models to improve access to pregnancy testing and ANC.

From December 2018 to July 2019, we collected data as part of a baseline survey among pregnant women enrolling in the PrEP Implementation for Mothers in Antenatal Care (PrIMA) study. PrIMA is a cluster randomized trial ({“type”:”clinical-trial”,”attrs”:{“text”:”NCT03070600″,”term_id”:”NCT03070600″}}NCT03070600) that compares facility-based approaches for delivering oral pre-exposure prophylaxis (PrEP) in pregnancy. Briefly, between January 2018 and July 2019, study participants were recruited from women presenting for ANC in 20 public health facilities in Homabay and Siaya counties in western Kenya. In this region, approximately more than 95% of pregnant women receive antenatal care from a skilled provider [2]. Health facilities eligible for inclusion in the PrIMA study were located in counties with an HIV prevalence of at least 20%, had more than 350 HIV-negative clients receiving ANC annually, and provided postnatal care services, including infant immunizations. Women were eligible for enrollment if they were: (1) pregnant, (2) HIV negative (based on test results abstracted from the MCH card), (3) not currently using PrEP, (4) ≥ 15 years of age, (5) TB negative and (6) planned to receive postnatal and infant care at the enrollment facility. Participants were recruited for the study while waiting to access ANC services at any ANC visit and at any gestational age. The study team administered the enrollment questionnaire in English, Kiswahili, or the local language, Dholuo (see S1 Appendix). Participants answered questions on socio-demographics, medical and pregnancy history, and partner characteristics. Additional details on the PrIMA study protocol are described elsewhere [5]. We analyzed two dependent variables: “obtained pregnancy self-test from pharmacy” and “early ANC initiation.” If a woman reported using a pregnancy test on her own to confirm her pregnancy and obtained the pregnancy test from the pharmacy, we categorized her as having obtained a pregnancy self-test from the pharmacy. We defined “early ANC initiation” as starting ANC during the first trimester of pregnancy (gestational age less than 13 weeks). We analyzed variables that we hypothesized from the literature would be associated with pregnancy self-test use and early ANC: socio-demographics (age, partner status, number of years in school, partner’s education level, and history of prior pregnancy), accessibility (travel time to the health facility), affordability (women’s employment status) and women’s knowledge or attitudes (history of pregnancy or delivery complications) [3, 4, 6–9]. We analyzed “obtained pregnancy self-test from pharmacy” as an independent variable when evaluating factors associated with early ANC initiation [3, 4]. We categorized age into three groups: 15–19 years, 20–24 years, and > 25 years. We included three different age groups because adolescents and young women face unique challenges in pregnancy and are likely to have different health-seeking behaviors [10]. We defined and categorized partner status into two groups: having a partner (including a married partner) or not having a partner in the last three months at the time of the survey. The number of years in school was categorized into three groups (8 years, 9–12 years, and >12 years), reflecting the number of years that individuals have typically spent in school at primary, secondary, and college levels in the region. We categorized the partner’s education level into four groups: primary school and below (no formal schooling or having attended or completed primary school), secondary school (having attended or completed secondary school), and college (having attended or completed college). We defined history of prior pregnancy as a woman reporting that she had previously been pregnant. Women reported estimated travel time to the health facility in minutes which we categorized into two groups (≤ 30 minutes versus > 30 minutes) based on the median travel time. Women were categorized as employed if they reported currently having regular employment. Women had a history of prior pregnancy or delivery complications if they indicated that they had the following problems during her last pregnancy: late pregnancy bleeding, miscarriage, fetal miscarriage, high blood pressure, laceration, hemorrhage, obstructed labor, premature birth (<37 weeks), spontaneous fetal death ( 0.30, p <0.05) [11]. To maintain the sample size, we excluded history of pregnancy or delivery complications because we could only determine this variable among women who had previously been pregnant. We included women who reported not having a partner as a separate category under the partner’s education level. We used the Mantel-Haenszel test of homogeneity to identify potential modifiers of the relationship between obtaining a pregnancy self-test from a pharmacy and early ANC initiation. The relationship differed significantly by partner’s education level; therefore, we stratified the analysis by this variable. Given that we conducted a secondary analysis of data from an existing cluster randomized trial, we adjusted for the 20 facility clusters using a robust method of standard errors. Overall, 93% of records had complete data. Missingness ranged from 0.6% to 4.6% across all variables. Statistical analyses were performed using R software (R-Studio Version 1.1.456) and STATA 16.1 (College Station, TX). The Kenyatta National Hospital (P73/02/2017) and the University of Washington (STUDY00000438) institutional review boards approved this study. All participants provided written informed consent to participate in the study.

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

1. Community-based models: Developing community-based models that bring pregnancy testing and antenatal care services closer to women’s homes can improve access. This could involve setting up mobile clinics or community health centers where women can easily access pregnancy testing and ANC services.

2. Telemedicine: Implementing telemedicine solutions can allow pregnant women to consult with healthcare providers remotely, reducing the need for travel and improving access to medical advice and support.

3. Education and awareness campaigns: Conducting targeted education and awareness campaigns to increase knowledge about the importance of pregnancy testing and early ANC initiation can help address barriers such as lack of knowledge and misconceptions.

4. Affordable and accessible pregnancy self-tests: Making pregnancy self-tests more affordable and widely available in pharmacies can encourage women to test for pregnancy early and seek ANC services promptly.

5. Partnerships with pharmacies: Collaborating with pharmacies to provide counseling and information on pregnancy testing and ANC can help reach women who may not regularly visit healthcare facilities.

6. Integration of services: Integrating pregnancy testing services with other existing healthcare services, such as family planning or HIV testing, can improve access and encourage women to seek ANC earlier.

7. Mobile health applications: Developing mobile health applications that provide information, reminders, and support for pregnant women can help improve access to maternal health services and promote early ANC initiation.

These innovations aim to address the barriers identified in the study, such as lack of knowledge, affordability, and accessibility. Implementing these recommendations can contribute to improving access to maternal health services and promoting early ANC initiation.
AI Innovations Description
Based on the description provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Community-based models for pregnancy testing and ANC: Develop and implement community-based models that provide easy access to pregnancy testing and antenatal care (ANC) services. This can involve setting up mobile clinics or outreach programs in areas where pregnant women have limited access to healthcare facilities. These models can provide pregnancy self-tests and offer ANC services closer to the community, reducing travel time and increasing convenience for pregnant women.

2. Education and awareness campaigns: Conduct education and awareness campaigns to improve knowledge and attitudes towards pregnancy self-testing and ANC. This can involve disseminating information about the importance of early ANC initiation and the availability of pregnancy self-tests. These campaigns can be conducted through various channels such as community meetings, radio broadcasts, and social media platforms to reach a wider audience.

3. Financial support for pregnancy self-tests: Address the financial barrier to accessing pregnancy self-tests by providing subsidies or financial assistance to pregnant women who cannot afford the tests. This can be done through partnerships with pharmacies or healthcare facilities to ensure that pregnancy self-tests are affordable and accessible to all pregnant women, regardless of their financial situation.

4. Training healthcare providers: Provide training to healthcare providers on the use and benefits of pregnancy self-tests, as well as the importance of early ANC initiation. This will enable healthcare providers to effectively counsel and educate pregnant women about the availability and use of pregnancy self-tests, encouraging their uptake and early ANC initiation.

5. Strengthening healthcare infrastructure: Improve the availability and quality of maternal healthcare facilities, particularly in areas with high HIV prevalence. This can involve upgrading existing facilities, increasing the number of skilled healthcare providers, and ensuring the availability of essential resources and equipment for ANC services. Strengthening healthcare infrastructure will enhance access to quality ANC services and encourage pregnant women to seek care early in their pregnancy.

By implementing these recommendations, access to maternal health can be improved, leading to better health outcomes for pregnant women and their babies.
AI Innovations Methodology
Based on the provided description, here are two potential recommendations for improving access to maternal health:

1. Community-Based Pregnancy Testing Programs: Develop and implement community-based models to improve access to pregnancy testing and antenatal care (ANC). This could involve setting up mobile clinics or community health centers where women can easily access pregnancy tests and receive immediate counseling and support. By bringing these services closer to the community, it can reduce travel time and increase convenience for pregnant women, especially those who live in remote areas.

2. Education and Awareness Campaigns: Launch targeted education and awareness campaigns to improve knowledge and attitudes towards pregnancy self-testing. This can involve disseminating information about the importance of early pregnancy testing and ANC through various channels such as radio, television, social media, and community meetings. By addressing misconceptions and increasing awareness, more women may be encouraged to use pregnancy self-tests and seek timely ANC.

Methodology to simulate the impact of these recommendations on improving access to maternal health:

1. Define the target population: Identify the specific population that will be the focus of the simulation, such as pregnant women in a particular region or community.

2. Collect baseline data: Gather data on the current access to maternal health services, including the prevalence of pregnancy self-testing, ANC initiation rates, travel time to health facilities, and other relevant factors. This can be done through surveys, interviews, or existing data sources.

3. Develop a simulation model: Create a mathematical or computational model that simulates the impact of the recommendations on improving access to maternal health. The model should consider factors such as the number of community-based clinics, the reach of education campaigns, and the potential increase in pregnancy self-testing and ANC initiation rates.

4. Input data and parameters: Input the baseline data and parameters into the simulation model. This includes information on the target population, the characteristics of the community-based clinics, the effectiveness of the education campaigns, and any other relevant variables.

5. Run simulations: Run multiple simulations using different scenarios and assumptions to assess the potential impact of the recommendations. This can involve varying parameters such as the number of community-based clinics, the coverage of education campaigns, and the uptake of pregnancy self-testing and ANC initiation.

6. 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 pregnancy self-testing rates, ANC initiation rates, and travel time to health facilities.

7. Validate and refine the model: Validate the simulation model by comparing the results with real-world data, if available. Refine the model based on feedback and additional data to improve its accuracy and reliability.

8. Communicate findings: Present the findings of the simulation study, including the potential impact of the recommendations, to relevant stakeholders such as policymakers, healthcare providers, and community leaders. This can help inform decision-making and guide the implementation of interventions to improve access to maternal health.

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