Towards stronger antenatal care: Understanding predictors of late presentation to antenatal services and implications for obstetric risk management in Rwanda

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Study Justification:
– Early antenatal care (ANC) is crucial for reducing maternal and neonatal morbidity and mortality.
– However, in Rwanda, 44% of women present to ANC after 16 weeks gestational age (GA).
– This study aims to identify factors associated with delayed initiation of ANC and describe differences in obstetric risks between women presenting early and late to care.
Study Highlights:
– 61% of women presented to ANC at ≥16 weeks GA and 24.7% at ≥24 weeks GA.
– Younger age, higher parity, lower educational attainment, and contributing to household income were associated with delayed ANC-1.
– History of spontaneous abortion, pregnancy testing, and residing in the same district or catchment area as the health facility were protective against delayed ANC-1.
– Women with a prior preterm or low birthweight delivery were less likely to initiate ANC after 16 weeks.
– Women with no obstetric history were more likely to present after 16 weeks GA.
Recommendations for Lay Reader:
– Community Health Worker outreach efforts should focus on populations at greatest risk of delaying care.
– Expanding access to home pregnancy testing may improve early care attendance.
Recommendations for Policy Maker:
– Provide provider training and standardized screening protocols to improve identification of obstetric risk factors at ANC-1.
– Allocate resources to support existing Community Health Worker outreach efforts.
– Consider implementing home pregnancy testing programs to increase early care attendance.
Key Role Players:
– Community Health Workers
– ANC providers
– Health center staff
– Policy makers
– Researchers
Cost Items for Planning Recommendations:
– Training programs for providers and health center staff
– Community Health Worker outreach programs
– Home pregnancy testing kits
– Data collection and analysis
– Program evaluation and monitoring

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 secondary data analysis of a large sample size (10,231 women) from 18 health centers in Rwanda. The study used multivariable logistic regression models to identify predictors of late presentation to antenatal care (ANC) and examined differences in obstetric risks identified at the first ANC visit. The study also provides specific odds ratios and confidence intervals for the identified predictors. To improve the evidence, the study could have included a comparison group of women who presented to ANC early to further strengthen the findings. Additionally, conducting a prospective study to confirm the identified predictors and their impact on maternal and neonatal outcomes would provide more robust evidence.

Background Early antenatal care (ANC) reduces maternal and neonatal morbidity and mortality through identification of pregnancy-related complications, yet 44% of Rwandan women present to ANC after 16 weeks gestational age (GA). The objective of this study was to identify factors associated with delayed initiation of ANC and describe differences in the obstetric risks identified at the first ANC visit (ANC-1) between women presenting early and late to care. Methods This secondary data analysis included 10,231 women presenting for ANC-1 across 18 health centers in Rwanda (May 2017-December 2018). Multivariable logistic regression models were constructed using backwards elimination to identify predictors of presentation to ANC at ≥16 and ≥24 weeks GA. Logistic regression was used to examine differences in obstetric risk factors identified at ANC-1 between women presenting before and after 16- and 24-weeks GA. Results Sixty-one percent of women presented to ANC at ≥16 weeks and 24.7% at ≥24 weeks GA, with a mean (SD) GA at presentation of 18.9 (6.9) weeks. Younger age (16 weeks: OR = 1.36, 95% CI: 1.06, 1.75; 24 weeks: OR = 1.33, 95% CI: 0.95, 1.85), higher parity (16 weeks: 1–4 births, OR = 1.55, 95% CI: 1.39, 1.72; five or more births, OR = 2.57, 95% CI: 2.17, 3.04; 24 weeks: 1–4 births, OR = 1.93, 95% CI: 1.78, 2.09; five or more births, OR = 3.20, 95% CI: 2.66, 3.85), lower educational attainment (16 weeks: primary, OR = 0.75, 95% CI: 0.65, 0.86; secondary, OR = 0.60, 95% CI: 0.47,0.76; university, OR = 0.48, 95% CI: 0.33, 0.70; 24 weeks: primary, OR = 0.64, 95% CI: 0.53, 0.77; secondary, OR = 0.43, 95% CI: 0.29, 0.63; university, OR = 0.12, 95% CI: 0.04, 0.32) and contributing to household income (16 weeks: OR = 1.78, 95% CI: 1.40, 2.25; 24 weeks: OR = 1.91, 95% CI: 1.42, 2.55) were associated with delayed ANC-1 (≥16 and ≥24 weeks GA). History of a spontaneous abortion (16 weeks: OR = 0.74, 95% CI: 0.66, 0.84; 24 weeks: OR = 0.70, 95% CI: 0.58, 0.84), pregnancy testing (16 weeks: OR = 0.48, 95% CI: 0.33, 0.71; 24 weeks: OR = 0.41, 95% CI: 0.27, 0.61; 24 weeks) and residing in the same district (16 weeks: OR = 1.55, 95% CI: 1.08, 2.22; 24 weeks: OR = 1.73, 95% CI: 1.04, 2.87) or catchment area (16 weeks: OR = 1.53, 95% CI: 1.05, 2.23; 24 weeks: OR = 1.84, 95% CI: 1.28, 2.66; 24 weeks) as the health facility were protective against delayed ANC-1. Women with a prior preterm (OR, 0.71, 95% CI, 0.53, 0.95) or low birthweight delivery (OR, 0.72, 95% CI, 0.55, 0.95) were less likely to initiate ANC after 16 weeks. Women with no obstetric history were more likely to present after 16 weeks GA (OR, 1.18, 95% CI, 1.06, 1.32). Conclusion This study identified multiple predictors of delayed ANC-1. Focusing existing Community Health Worker outreach efforts on the populations at greatest risk of delaying care and expanding access to home pregnancy testing may improve early care attendance. While women presenting late to care were less likely to present without an identified obstetric risk factor, lower than expected rates were identified in the study population overall. Health centers may benefit from provider training and standardized screening protocols to improve identification of obstetric risk factors at ANC-1.

This secondary data analysis used data obtained in a cluster randomized controlled trial on prenatal care and birth outcomes, conducted by The Preterm Birth Initiative–Rwanda ({“type”:”clinical-trial”,”attrs”:{“text”:”NCT03154177″,”term_id”:”NCT03154177″}}NCT03154177) [35]. The present analysis was restricted to health centers randomized to the control group, which included 18 facilities in 5 districts (Bugesera, Rubavu, Nyamasheke, Nyarugenge, and Burera). These health centers were selected for inclusion in the trial based on their location in one of the five districts, their monthly ANC volume, and the presence of at least two ANC providers at the facility. Women ≥15 years of age who presented to one of the participating health centers between May 2017 and December 2018 for ANC services were invited to enroll in the study. Only participants with completed ANC records were included in the final analysis. There were no significant differences in the characteristics of those with incomplete ANC records, as determined by linear models of key sociodemographic variables. Trained data collectors employed by the research team were embedded at each of the 18 health centers. After introducing the study to each woman presenting for ANC, data collectors obtained consent for participants to be included in the study. Upon enrollment, data collectors administered an initial survey to all participants (S1 File). Data collected included age, educational attainment, occupation, contribution to household income, level of partner communication, proximity of the health center to their home and tobacco and alcohol use. Food security over the past month was assessed with a two-question series recommended by the American Association of Pediatrics [36]. Women were also asked whether they had received a pregnancy test and/or whether a community health worker (CHW) had recommended that they visit a health center to confirm their pregnancy. Multiparous participants were asked to report any previous preterm births, low birth weight infants, fresh stillbirths, neonatal deaths (first 28 days of life) and repeated miscarriages. These participants were also asked to report the number of ANC appointments that they attended during their most recent past pregnancy. Data from participants’ first ANC visit (ANC-1) were abstracted from existing national collection tools, including health center registers and patient files. All health centers participated in data strengthening training prior to the start of the study to improve accuracy and completeness of these existing data collection tools. Information abstracted from participants’ antenatal registers included gravidity, parity, and GA at ANC-1. Obstetric risk factors included the presence of anemia, proteinuria, hypertension (≥140/90), multiple births, middle upper arm circumference (MUAC) <21cm, and HIV positive status (either positive test or known positive status documented in the chart). Syphilis or malaria identified at ANC-1 were also recorded. If no obstetric risk factors were identified in the chart, data collectors recorded “none.” Additional history collected from participants’ ANC-1 files included a documented history of diabetes and/or chronic hypertension. In Rwanda, anemia, proteinuria, hypertension, multiple births, MUAC 2.5) the variable more strongly associated with delayed ANC was retained. Final multivariable logistic regression models were constructed using manual backwards elimination. A full model including all candidate predictors was constructed, and the predictor with the highest p-value greater than αcrit = 0.20 was removed. The model was refit and this process was repeated until all variables maintained in the model had a p-value less than αcrit, with the exception of age which was considered by the investigators to be a potential confounder. Cluster-robust standard errors were used to account for the clustering effects of health centers. Odds ratios and 95% confidence intervals are reported. For the 7,380 multiparous participants, obstetrics history predictors of late (≥16 weeks GA) and very late (≥24 weeks GA) presentation to ANC were assessed using logistic regression models. Obstetric history variables included a history of a preterm delivery, low birthweight infant, previous fresh stillbirth, 28-day mortality of a neonate, and repeated miscarriages. Self-reported ANC attendance in the most recent prior pregnancy was also assessed. The secondary outcomes of interest were the obstetric risk factors identified at ANC-1. Logistic regression models were used to identify associations between late and very late presentation to ANC and the types of obstetric risk factors identified at a woman’s first ANC visit. Risk factors assessed included anemia, proteinuria, hypertension, multiple births, smoking, alcohol use, HIV positive status, and MUAC <21. Diabetes, syphilis and malaria were not reliably recorded in the ANC-1 records, and thus were excluded from the final analysis. Additional logistic regression models were also used to assess for associations between parity and the identification of pregnancy-related risk factors at ANC-1. To assess whether parity was a moderator of the relationship between GA at ANC-1 and each of the obstetric risk factors identified at ANC-1, logistic regression models with interaction terms were used. All analyses were conducted in R (version 3.6.1). This study was approved by the Rwanda National Ethics Committee (No.0034/RNEC/2017), and the University of California, San Francisco Institutional Review Board (16–21177). Written consent was obtained from all participants prior to administering the enrollment survey and reviewing patient health records. All consent forms were translated into Kinyarwanda. Participants provided consent by reading and signing the consent form. For participants who were illiterate, a member of the study team verbally read the consent form in the presence of a witness and both the consented participant and witness signed the consent. The Rwandan National Ethics Committee and the University of California, San Francisco Institutional Review Board waived parental consent requirements for pregnant minors.

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

1. Community Health Worker (CHW) Outreach: Focusing existing CHW outreach efforts on populations at greatest risk of delaying care can help increase early attendance to antenatal care (ANC) services. CHWs can provide education, support, and reminders to pregnant women, encouraging them to seek ANC services in a timely manner.

2. Expansion of Home Pregnancy Testing: Increasing access to home pregnancy testing can help women confirm their pregnancies earlier, leading to earlier initiation of ANC. This can be done through the distribution of affordable and accurate home pregnancy test kits, along with education on how to use them correctly.

3. Provider Training and Standardized Screening Protocols: Health centers can benefit from training healthcare providers on identifying obstetric risk factors at the first ANC visit. Standardized screening protocols can be implemented to ensure that all necessary risk factors are assessed consistently, improving the identification of high-risk pregnancies and enabling appropriate management and interventions.

4. Improved Data Collection and Strengthening: Enhancing the accuracy and completeness of data collection tools used in ANC services can provide valuable information for monitoring and improving maternal health outcomes. This can involve training healthcare providers on proper data collection techniques and ensuring that all necessary information is recorded accurately.

5. Increased Availability of ANC Services: Ensuring that ANC services are easily accessible to pregnant women can help reduce delays in seeking care. This can be achieved by expanding the number of health centers offering ANC services, especially in remote or underserved areas, and improving transportation options for pregnant women to reach these facilities.

6. Health Education and Awareness Campaigns: Conducting targeted health education and awareness campaigns can help raise awareness about the importance of early ANC and the potential risks associated with delayed care. These campaigns can be conducted through various channels, such as community meetings, radio broadcasts, and social media platforms, to reach a wide audience.

It is important to note that these recommendations are based on the specific context of the study conducted in Rwanda. Implementing these innovations would require careful consideration of the local healthcare system, resources, and cultural factors in order to be effective and sustainable.
AI Innovations Description
The recommendation that can be developed into an innovation to improve access to maternal health based on the study is to focus on existing Community Health Worker (CHW) outreach efforts and expand access to home pregnancy testing.

1. Focusing on populations at greatest risk: The study identified several factors associated with delayed initiation of antenatal care (ANC), such as younger age, higher parity, lower educational attainment, and contributing to household income. By targeting these populations through existing CHW outreach efforts, healthcare providers can ensure that pregnant women at higher risk of delaying care receive the necessary support and information to seek ANC services early.

2. Expanding access to home pregnancy testing: The study found that women who had received a pregnancy test or had a CHW recommend a health center visit to confirm their pregnancy were less likely to delay ANC. Expanding access to home pregnancy testing can empower women to confirm their pregnancy early and encourage them to seek ANC services promptly. This can be done through community-based distribution of pregnancy test kits or integrating home pregnancy testing into existing CHW programs.

By implementing these recommendations, healthcare providers can improve early care attendance and ensure that pregnant women receive timely and appropriate maternal health services. Additionally, provider training and standardized screening protocols can be implemented to improve the identification of obstetric risk factors at the first ANC visit, further enhancing the quality of care provided.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health in Rwanda:

1. Strengthen Community Health Worker (CHW) outreach efforts: Focusing on populations at greatest risk of delaying care, such as younger women, those with higher parity, and those with lower educational attainment, can help improve early attendance to antenatal care (ANC) services. CHWs can play a crucial role in educating and encouraging pregnant women to seek ANC services in a timely manner.

2. Expand access to home pregnancy testing: Providing access to home pregnancy testing kits can help women confirm their pregnancy early on and encourage them to seek ANC services promptly. This can be particularly beneficial for women who may face barriers to accessing healthcare facilities, such as distance or transportation issues.

3. Improve provider training and standardized screening protocols: Health centers can benefit from training healthcare providers on identifying obstetric risk factors during the first ANC visit. Standardized screening protocols can ensure that all necessary assessments are conducted consistently, leading to improved identification of risk factors and appropriate management.

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

1. Define the target population: Identify the specific population group that the recommendations aim to benefit, such as pregnant women in Rwanda.

2. Collect baseline data: Gather data on the current status of access to maternal health services, including the percentage of women presenting late to ANC, the reasons for delayed presentation, and the obstetric risk factors identified at the first ANC visit.

3. Develop a simulation model: Create a mathematical model that represents the population and the healthcare system. This model should incorporate factors such as population demographics, healthcare facility capacity, CHW outreach efforts, availability of home pregnancy testing, and provider training.

4. Define intervention scenarios: Based on the recommendations, design different scenarios that simulate the implementation of the proposed interventions. For example, one scenario could involve increasing the number of CHWs and their targeted outreach efforts, while another scenario could focus on providing home pregnancy testing kits to pregnant women.

5. Simulate the impact: Run the simulation model using the baseline data and the defined intervention scenarios. Evaluate the impact of each scenario on improving access to maternal health by measuring outcomes such as the percentage of women presenting early to ANC, the reduction in obstetric risk factors identified, and the overall improvement in maternal and neonatal health outcomes.

6. Analyze and interpret the results: Compare the outcomes of the different intervention scenarios to assess their effectiveness in improving access to maternal health. Identify the most promising interventions and their potential impact on the target population.

7. Refine and iterate: Based on the results and analysis, refine the interventions and simulation model as needed. Repeat the simulation process to further optimize the recommendations and assess their long-term impact.

By following this methodology, policymakers and healthcare stakeholders can gain insights into the potential impact of different interventions on improving access to maternal health and make informed decisions on implementing the most effective strategies.

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