Factors influencing access of pregnant women and their infants to their local healthcare system: A prospective, multi-centre, observational study

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Study Justification:
This study aimed to evaluate the factors that influence the access of pregnant women and their infants to healthcare facilities. The findings of this study are important for planning future clinical trials on maternal vaccination, as it identifies potential barriers to participation. By understanding these barriers, researchers can develop strategies to improve access and ensure the success of clinical trials.
Study Highlights:
– The study enrolled 3,243 pregnant women at ten sites across Panama, the Dominican Republic, South Africa, and Mozambique.
– 63.6% of enrolled women returned to the study site for delivery, with factors such as older age and later gestational age at enrollment increasing the likelihood of delivering at the study site.
– 68.9% of women returned to the study site for follow-up visits after delivery.
– Only 41.9% of sick infants were taken to the study site for medical care.
– The study highlights the need to broaden post-partum surveillance beyond the study sites and plan additional follow-up visits within the neonatal period.
Recommendations for Lay Reader and Policy Maker:
– Post-partum surveillance should be expanded beyond the study sites to ensure comprehensive healthcare for mothers and infants.
– Additional follow-up visits should be planned within the neonatal period to monitor the health of infants.
– Strategies should be developed to address transportation barriers and reduce costs associated with accessing healthcare facilities.
– Education and awareness programs should be implemented to ensure that mothers are aware of the signs and symptoms of potential sepsis in infants and seek medical care promptly.
Key Role Players:
– Researchers and healthcare professionals involved in maternal and infant healthcare.
– Policy makers and government officials responsible for healthcare planning and resource allocation.
– Community leaders and organizations involved in maternal and child health advocacy.
– Transportation providers and organizations that can help improve transportation access to healthcare facilities.
Cost Items for Planning Recommendations:
– Transportation infrastructure improvements, such as road maintenance and public transportation services.
– Subsidies or financial assistance programs to reduce transportation costs for pregnant women and their infants.
– Training programs for healthcare professionals to enhance their knowledge and skills in maternal and infant healthcare.
– Educational materials and campaigns to raise awareness about maternal and infant health and the importance of seeking medical care.
– Monitoring and evaluation systems to track the implementation and effectiveness of the recommendations.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is strong, but there are some areas for improvement. The study design is prospective and multi-centre, which increases the generalizability of the findings. The study collected data from a large number of pregnant women across multiple countries. Logistic regression was used to identify factors associated with return to the study site for delivery or follow-up visits. However, the abstract does not provide information on the statistical significance of the findings or the effect sizes. Additionally, the abstract could benefit from providing more specific details on the study methodology and the characteristics of the study population. To improve the evidence, the abstract should include p-values and confidence intervals for the logistic regression results, as well as provide more information on the demographics and baseline characteristics of the women included in the study.

Background: The successful implementation of maternal vaccination relies on results of clinical trials, considering the prenatal and postnatal attendance at selected healthcare institutions. This study evaluated factors influencing maternal/infant access to healthcare facilities to identify potential barriers to participation in future clinical trials on maternal vaccination. Methods: In this prospective, multi-centre, observational study, pregnant women (N = 3243) were enrolled at ten sites across Panama, the Dominican Republic, South Africa, and Mozambique between 2012 and 2014. They completed questionnaires at enrolment, delivery, and infant follow-up (90 days post-partum) visits, including questions on transportation, phone accessibility, alternative childcare, gestational age at enrolment, delivery location, and health status of their infant. Logistic regression was used to identify factors significantly associated with return to study site for delivery or infant follow-up visits. Results: Among 3229 enrolled women with delivery information, 63.6% (range across sites: 25.3-91.5%) returned to study site for delivery. Older women and those at later gestational age at enrolment were more likely to deliver at the study site. While heterogeneities were observed at site level, shorter travel time at delivery and increased transportation costs at enrolment were associated with increased likelihood of women returning to study site for delivery. Among 3145 women with live-born infants, 3077 (95.3%) provided 90-day follow-up information; of these, 68.9% (range across sites: 25.6-98.9%) returned to study site for follow-up visits. Women with other children and with lower transportation costs at delivery were more likely to return to study site for follow-up visits. Among 666 infants reported sick, 94.3% were taken to a healthcare facility, with only 41.9% (range across sites: 4.9-77.3%) to the study site. Conclusion: Although high retention was observed from enrolment through 90 days after delivery, post-partum surveillance should be broadened beyond the study sites and additional follow-up visits should be planned within the neonatal period. The factors influencing maternal/infant access to healthcare facilities and the issues identified in this study should be taken into consideration in planning future clinical studies on maternal immunisation in low- and middle-income countries. Trial registration: The study was registered at ClinicalTrial.gov ( NCT01734434 ) on November 22, 2012.

This prospective, multi-centre, observational study was conducted between November 2012 and January 2015 in potential sites for a phase 3 maternal immunisation clinical efficacy study in which pregnant women from countries with reported high incidence of GBS disease in infants could be enrolled. Although 13 sites originally qualified for participation, three sites, one each in Malawi, South Africa and Panama, did not recruit any participants. The study was therefore conducted at ten sites: three in Panama, two in the Dominican Republic, four in South Africa, and one in Mozambique (Table 1). The study sites were urban, except the semirural site in Mozambique. Demographics and baseline characteristics of women included in the full analysis set N number of women per group, n (%) number (percentage) of women in each category, SD standard deviation The study was conducted in accordance with the principles of Good Clinical Practice and the Declaration of Helsinki. The study protocol and related documents were approved by the institutional review boards or ethics committees in each study country: Comite de Docencia e Investigación, Hospital Santo Tomás, Panama; Consejo Nacional de Bioetica en Salud, the Dominican Republic; University of the Witwatersrand Human Research Ethics Committee (Medical), South Africa; Health Research Ethics Committee Research Development and Support Division, Stellenbosh University, South Africa; and National Bioethics Health Committee, Mozambique. Written informed consent was obtained from all women, or their parent/legal representative if minors, prior to enrolment in the study. Informed assent was also obtained from women who were classified as minors. The study was registered at www.clinicaltrials.gov ({“type”:”clinical-trial”,”attrs”:{“text”:”NCT01734434″,”term_id”:”NCT01734434″}}NCT01734434). Women who sought antenatal care at the study site were eligible for participation if they were at ≥24 weeks (Panama, the Dominican Republic, and site SA_1 in South Africa) or 28–34 weeks (sites SA_2, SA_3, and SA_4 in South Africa and the site from Mozambique) of gestation at enrolment, and if they provided written informed consent. Following a protocol amendment, the gestational age eligibility window was modified to be consistent with recommendations from the GBS scientific committee specifying that the investigational GBS vaccine should be administered in pregnancy between 28 and 34 weeks of gestation. The new criterion for gestational age was only implemented at three sites from South Africa and the site in Mozambique (SA_2, SA_3, SA_4, and MO_1) because the others had already completed enrolment or were nearing completion at the time of the protocol amendment. Data were collected from women at each of the three study visits (enrolment, delivery, and infant follow-up visit) by means of questionnaires (Additional file 1). The follow-up visit occurred when the infants reached 90 days of age, which is the upper age limit used to define late-onset GBS infection [12]. The questions were intended to identify the barriers that may hinder access to healthcare or participation in a future clinical trial for pregnant women in each of the settings. Questions asked at all three visits were: duration, cost and type of transportation to the study site, access to a telephone, and availability of care for other children. Specific questions at the enrolment visit (prenatal) were gestational age and its method of estimation, estimated delivery date, and details of the clinic for the woman’s well-child visit (immunisation). At the delivery visit, the time and place of delivery, labour onset, pregnancy outcome, health status of infant, and day of discharge were recorded. Women not delivering at the study site were asked to provide this information telephonically or by completing the non-study site delivery questionnaire. If needed, a home visit was undertaken as per local practice. Additional time points for data collection were the well-child visit (within 21 days after the estimated delivery date) or the 90-day follow-up visit. At the infant follow-up visit (90 days after delivery), the following information was recorded: the health status of the infant, the well-child visit attendance, and whether the infant was sick during the first 90 days of life (in which case further information was recorded on whether medical care was sought or not, where medical care was sought, or the reasons for not seeking medical care). Education about signs and symptoms of potential sepsis in infants was provided to nearly all women (97.3%) at enrolment and at delivery. Women were counselled to seek urgent medical care if their infant developed any symptom of sepsis. Potential GBS infections could be detected if enrolled women identified these specific sepsis symptoms in their child. Investigators recorded all study data on electronic case report forms stored in a secure electronic data capture system for validation. The study sample size was driven by the enrolment capacity of the sites. Summary statistics were calculated for all recorded questionnaire data, and were presented as frequencies and percentages. Means and standard deviations were presented for continuous variables (e.g. age, gestational age). Analyses were performed on overall data, by region (Latin America or Africa), by country, and by study site. Statistical testing was used only for descriptive purposes, and no multiplicity adjustments were performed. Stepwise logistic regressions were performed on all enrolled women and on those who provided data after enrolment. Formula and details on odds ratios (ORs) calculation are given in Supplementary Methods (Additional file 2). To evaluate factors that might influence whether pregnant women would return to study site for delivery, pregnant women were categorised into two groups: those who returned to a study site to deliver and those who did not. Pregnant women whose delivery status was unknown were grouped with those who delivered at a non-study site. To explore the seeking of medical attention, only women with a sick newborn or infant were included for the first occurrence of illness. The predictor variables included in the logistic regressions were: country of study site; age of pregnant woman; gestational age of pregnancy at enrolment; mode, duration, and cost of transportation to the study site; and alternative childcare (no children, children but with no alternative childcare, children with alternative childcare). The stepwise method was used with p-values to enter factors set at 0.05 and p-values to remove factors set at 0.06. All 95% confidence intervals (CIs) were calculated using the Clopper-Pearson method. All statistical analyses were performed using Statistical Analysis System version 9.1 or a later version.

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

1. Mobile Clinics: Implementing mobile clinics that can travel to remote areas or areas with limited access to healthcare facilities. This would allow pregnant women to receive prenatal care and vaccinations without having to travel long distances.

2. Telemedicine: Introducing telemedicine services to provide remote consultations and follow-up care for pregnant women. This would enable women to access healthcare professionals and receive medical advice without the need for physical travel.

3. Transportation Support: Providing transportation support for pregnant women to ensure they can easily access healthcare facilities for prenatal care, delivery, and postnatal follow-up visits. This could include subsidizing transportation costs or arranging transportation services specifically for pregnant women.

4. Community Health Workers: Training and deploying community health workers who can provide basic prenatal care, education, and support to pregnant women in their local communities. This would help bridge the gap between healthcare facilities and pregnant women in underserved areas.

5. Health Education Programs: Implementing comprehensive health education programs that focus on maternal health, including the importance of prenatal care, vaccinations, and postnatal follow-up visits. These programs can be conducted in local communities and through various channels such as radio, television, and mobile messaging.

6. Partnerships with Local Organizations: Collaborating with local organizations, such as community-based groups and non-governmental organizations, to improve access to maternal health services. These partnerships can help identify and address specific barriers to access and provide targeted support to pregnant women.

It’s important to note that the specific recommendations for improving access to maternal health would depend on the context and challenges identified in each study site.
AI Innovations Description
The study conducted a prospective, multi-centre, observational study to evaluate factors influencing maternal/infant access to healthcare facilities and identify potential barriers to participation in future clinical trials on maternal vaccination. The study was conducted at ten sites across Panama, the Dominican Republic, South Africa, and Mozambique between 2012 and 2014.

The study found that factors such as transportation, phone accessibility, alternative childcare, gestational age at enrolment, delivery location, and health status of the infant influenced maternal/infant access to healthcare facilities. Logistic regression analysis was used to identify factors significantly associated with return to the study site for delivery or infant follow-up visits.

The study found that older women and those at later gestational age at enrolment were more likely to deliver at the study site. Shorter travel time at delivery and increased transportation costs at enrolment were associated with an increased likelihood of women returning to the study site for delivery. Women with other children and lower transportation costs at delivery were more likely to return to the study site for follow-up visits.

The study concluded that although high retention was observed from enrolment through 90 days after delivery, post-partum surveillance should be broadened beyond the study sites and additional follow-up visits should be planned within the neonatal period. The factors influencing maternal/infant access to healthcare facilities identified in this study should be taken into consideration in planning future clinical studies on maternal immunisation in low- and middle-income countries.

Based on these findings, a recommendation to improve access to maternal health could be to focus on reducing transportation costs and travel time for pregnant women to healthcare facilities. This could involve providing transportation subsidies or improving transportation infrastructure in areas with limited access to healthcare. Additionally, efforts should be made to provide alternative childcare options for women with other children, allowing them to attend healthcare appointments without barriers.
AI Innovations Methodology
Based on the information provided, here are some potential recommendations for improving access to maternal health:

1. Improve transportation options: Addressing transportation barriers can help pregnant women and their infants access healthcare facilities. This could involve providing affordable transportation services or improving public transportation infrastructure in areas with limited access.

2. Enhance phone accessibility: Ensuring that pregnant women have access to phones can facilitate communication with healthcare providers and enable them to seek medical assistance when needed. This could involve providing mobile phones or establishing community phone centers.

3. Expand childcare support: Many women face challenges in accessing healthcare due to lack of childcare options. Expanding affordable and reliable childcare services can help alleviate this barrier and enable pregnant women to attend healthcare appointments.

4. Strengthen community-based healthcare services: Broadening post-partum surveillance beyond study sites and planning additional follow-up visits within the neonatal period can improve access to healthcare for both mothers and infants. This could involve establishing community-based clinics or mobile healthcare units.

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

1. Define the target population: Identify the specific population that the recommendations aim to benefit, such as pregnant women in low- and middle-income countries.

2. Collect baseline data: Gather data on the current access to maternal health services, including factors such as transportation options, phone accessibility, childcare availability, and healthcare facility utilization rates.

3. Develop a simulation model: Create a mathematical or computational model that incorporates the identified factors influencing access to maternal health. This model should simulate the impact of the recommendations on improving access.

4. Input data and parameters: Input the baseline data collected in step 2 into the simulation model. Define the parameters related to the recommendations, such as the availability and cost of transportation options, phone accessibility rates, and the expansion of childcare services.

5. Run simulations: Run multiple simulations using different scenarios and combinations of the recommendations. This could involve varying the availability and cost of transportation options, the coverage of phone accessibility, and the extent of childcare support.

6. Analyze results: Analyze the simulation results to assess the impact of the recommendations on improving access to maternal health. This could include evaluating changes in healthcare facility utilization rates, reduction in barriers to access, and improvements in maternal and infant health outcomes.

7. Refine and validate the model: Continuously refine and validate the simulation model based on real-world data and feedback from stakeholders. This will ensure that the model accurately represents the factors influencing access to maternal health and provides reliable predictions.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of different recommendations on improving access to maternal health. This information can guide decision-making and resource allocation to effectively address barriers and enhance maternal healthcare services.

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