Retinopathy of prematurity in Rwanda: a prospective multi-centre study following introduction of screening and treatment services

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Study Justification:
– The study aimed to investigate risk factors for retinopathy of prematurity (ROP) in Rwanda, Africa, following the introduction of a screening and management program.
– ROP has become an emerging health problem in Rwanda, necessitating the need for screening and treatment programs.
– The study aimed to provide insights into the risk factors associated with ROP in order to improve the quality of neonatal care, particularly in oxygen delivery and monitoring.
Study Highlights:
– 795 out of 2222 babies fulfilled the inclusion criteria for the study.
– 424 babies were screened for ROP, and 31 (7.3%) developed ROP, with 13 (41.9%) requiring treatment.
– Risk factors associated with ROP included increasing days on supplemental oxygen, low gestational age and birth weight, hyperglycemia, blood transfusion, and sepsis.
– Longer exposure to supplemental oxygen and hyperglycemia remained significant risk factors in multivariate analysis.
Study Recommendations:
– The study recommends the implementation of screening and treatment programs for ROP in Rwanda.
– ROP screening should be conducted beyond the guidelines set by the American Academy in 2013.
– Improved quality of neonatal care, particularly in oxygen delivery and monitoring, is needed to address the emerging health problem of ROP in Rwanda.
Key Role Players:
– Neonatologists and pediatricians
– Ophthalmologists trained in ROP screening
– Nursing staff
– Hospital administrators
– Policy makers and government officials
Cost Items for Planning Recommendations:
– Training of ophthalmologists in ROP screening
– Equipment and supplies for ROP screening (ophthalmoscopes, lenses, etc.)
– Staffing and training for neonatal care units
– Monitoring and data collection systems
– Public awareness campaigns
– Quality control measures for screening process
– Treatment and follow-up care for infants with ROP
Please note that the provided information is based on the given study description and may not include all possible details.

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 prospective and multi-center, which increases the reliability of the findings. The sample size is adequate to achieve statistical power. The study provides detailed information on the risk factors for retinopathy of prematurity (ROP) in Rwanda. However, the abstract lacks specific information on the methodology used for data collection and analysis. Additionally, it would be helpful to include the results of the multivariate logistic regression analysis, as this would provide a clearer understanding of the significant risk factors for ROP. To improve the evidence, the abstract should include more details on the methodology and provide a summary of the results from the multivariate analysis.

Objectives: To investigate risk factors for retinopathy of prematurity (ROP) in a newly established ROP screening and management programme in Rwanda, Africa. Methods: In this multi-centre prospective study 795/2222 (36%) babies fulfilled the inclusion criteria (gestational age (GA) < 35 weeks or birth weight (BW) 30 weeks and BW > 1500 g, one of whom required treatment. In univariate analysis the following were associated with any ROP: increasing number of days on supplemental oxygen (OR 2.1, CI 1.5–3.0, P < 0.001), low GA (OR 3.4, CI 1.8–6.4, P < 0.001), low BW (OR 2.3, CI 1.5–3.4, P < 0.001), at least one episode of hyperglycaemia ≥ 150 mg/dl (OR 6.6, CI 2.0–21.5, P < 0.001), blood transfusion (OR 3.5, CI 1.6–7.4, P < 0.001) or sepsis (OR 3.2, CI 1.2–8.6, P = 0.01). In multivariate analysis longer exposure to supplemental oxygen (OR 2.1, CI 1.2–3.6, P = 0.01) and hyperglycaemia (OR 3.5, CI 1.0–12.4, P = 0.05) remained significant. Conclusions: ROP has become an emerging health problem in Rwanda, requiring programmes for screening and treatment. ROP screening is indicated beyond the 2013 American Academy guidelines. Improved quality of neonatal care, particularly oxygen delivery and monitoring is needed.

A risk factor study was nested within the prospective observational study carried out in the NICUs of three tertiary hospitals in Rwanda from September 2015 to July 2017. Two NICUs were located in the capital city Kigali, i.e. King Faisal Hospital (KFH) and University Teaching Hospital of Kigali (CHUK), and one in Huye, University Teaching Hospital of Huye (University of Rwanda campus Butare, CHUB).The study population were all preterm babies admitted to these NICUs who fulfilled the inclusion criteria, i.e. GA < 35 weeks or birth weight (BW) < 1800 grams (g) or an unstable clinical course, as indicated by the paediatrician. Data on potential risk factors were extracted from daily neonatal progress notes throughout hospital admission on a weekly basis. BW and GA were defined as categorical variables. Exposure to supplemental oxygen was assessed as the number of days in supplemental oxygen (categorical variable) and method of administration, i.e. nasal cannula, continuous positive airway pressure (CPAP) or ventilator [10]. In cases of nasal cannula, supplemental unblended oxygen was delivered. Initially oxygen saturation was recorded but was felt to be too unreliable as a study variable. Sepsis was defined as early or late (starting 3 or more days after birth), necessitating antibiotic treatment for ≥ 5 days on clinical grounds and/or on the basis of a positive blood culture, if available. Blood transfusion was defined as the administration of adult red blood cells on one or more occasions. Hyperglycaemia was defined as serum glycemia ≥ 150 mg/dl sampled before a meal. The first eye examination took place 4 weeks after birth. At the beginning of the study six local ophthalmologists were trained in ROP screening by an expert ophthalmologist during joint screening sessions. Quality control on the screening process took place during follow-up visits. Both monocular and binocular indirect ophthalmoscopy were performed using a 20 or 30 dioptre lens and indentation or Missotten–Fabri neonatal lens (Fabrilens, Lommel, Belgium), depending on the preference of the attending ophthalmologist. This lens serves both as a magnifier and speculum to keep the eyelids open. Retinal changes were classified by stage, zones and the presence of plus disease using standard photographs based on the International Classification of ROP and Early Treatment for ROP studies [14, 15]. The maximum severity of ROP in either eye was the level assigned to each infant. ROP-screening was at least every 2 weeks until vascularisation reached zone III or until 41 weeks postmenstrual age. Weekly screening was scheduled if the vessels ended in zone I or posterior zone II, or if there was any plus disease, or any stage 3 disease in any zone. Treatment-warranted ROP (TW-ROP) was defined Type 1 ROP i.e. ROP in Zone I, stage 3 without plus disease or in Zone I, any stage with plus disease, or ROP in Zone II, Stage 2 and 3 with plus disease [15]. Data were entered into a Microsoft Access database and analysed using STATA-software 9.2 (STATA Corp, College Station, TX). Statistics were presented overall and for the subgroups any ROP, TW-ROP and no ROP. Statistical analysis compared infants with any ROP with those without. Further analysis compared infants with TW-ROP with those without ROP. Potential risk factors were evaluated in univariate logistic regression analyses calculating odds ratios (OR) and 95% confidence intervals (CI) at 0.05 level of significance. Variables which were statistically significant were entered into a multivariate logistic regression model using a backward stepwise method. Assuming a prevalence of any ROP of 15% among exposed and 5% among non-exposed to potential risk factor, a sample size of at least 380 babies was needed to achieve 90% power at the 5% level of significance. The study was conducted in accordance with the Declaration of Helsinki and was approved by the Rwandan National Ethics Committee. An information sheet was read out to parents/caregivers in Kinyarwanda, after which they signed a consent form. All medical eye care related to ROP was provided free of charge. This densely populated country with a reasonably good main infrastructure has a compulsory health insurance system, which facilitates access to health care even for the poor.

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

1. Telemedicine: Implementing telemedicine technology can help connect healthcare providers in remote areas with specialists in maternal health. This would allow for remote consultations, diagnosis, and treatment, reducing the need for travel and improving access to specialized care.

2. Mobile clinics: Setting up mobile clinics equipped with necessary medical equipment and staffed by healthcare professionals can bring maternal health services closer to rural and underserved communities. These clinics can provide prenatal care, screenings, vaccinations, and education on maternal health.

3. Community health workers: Training and deploying community health workers who can provide basic maternal health services, education, and support in remote areas can help bridge the gap in access to healthcare. These workers can conduct regular check-ups, provide health education, and refer high-risk cases to appropriate medical facilities.

4. Health insurance coverage: Expanding health insurance coverage to include maternal health services can help reduce financial barriers and improve access to quality care. This would ensure that pregnant women have access to prenatal care, delivery services, and postnatal care without facing financial hardships.

5. Public-private partnerships: Collaborating with private healthcare providers and organizations can help improve access to maternal health services. This can involve subsidizing services, providing training and resources, and leveraging private sector expertise to enhance the quality and availability of care.

6. Health education and awareness campaigns: Conducting targeted health education and awareness campaigns can help increase knowledge and understanding of maternal health issues. This can empower women to seek timely care, adopt healthy practices, and make informed decisions regarding their own health and the health of their babies.

It is important to note that these recommendations are general and may need to be tailored to the specific context and needs of the population in Rwanda.
AI Innovations Description
The study titled “Retinopathy of prematurity in Rwanda: a prospective multi-centre study following introduction of screening and treatment services” aimed to investigate risk factors for retinopathy of prematurity (ROP) in a newly established ROP screening and management program in Rwanda. The study was conducted from September 2015 to July 2017 in three tertiary hospitals in Rwanda.

The study population included preterm babies admitted to the neonatal intensive care units (NICUs) of the participating hospitals who met the inclusion criteria of gestational age (GA) < 35 weeks or birth weight (BW) < 1800 grams or an unstable clinical course. Data on potential risk factors were collected from daily neonatal progress notes throughout the hospital admission on a weekly basis.

The risk factors examined in the study included the number of days on supplemental oxygen, GA, BW, episodes of hyperglycemia, blood transfusion, and sepsis. The study found that longer exposure to supplemental oxygen and hyperglycemia were significant risk factors for ROP.

ROP screening was conducted by trained local ophthalmologists using both monocular and binocular indirect ophthalmoscopy. Retinal changes were classified based on the International Classification of ROP and Early Treatment for ROP studies. Treatment-warranted ROP (TW-ROP) was defined as Type 1 ROP.

The study concluded that ROP has become an emerging health problem in Rwanda, necessitating programs for screening and treatment. It also highlighted the need for improved quality of neonatal care, particularly in oxygen delivery and monitoring.

Based on the findings of this study, a recommendation to improve access to maternal health and reduce the risk of ROP could include:

1. Strengthening prenatal care: Ensuring that pregnant women receive adequate prenatal care, including regular check-ups, monitoring of gestational age, and management of any underlying health conditions.

2. Enhancing neonatal care: Improving the quality of neonatal care, particularly in the administration and monitoring of supplemental oxygen, to minimize the risk of ROP development.

3. Training healthcare professionals: Providing training and education to healthcare professionals, including ophthalmologists and neonatal care providers, on ROP screening and management to ensure early detection and appropriate treatment.

4. Increasing awareness: Conducting awareness campaigns to educate parents, caregivers, and healthcare providers about the importance of ROP screening, early detection, and timely treatment.

5. Strengthening healthcare infrastructure: Investing in healthcare infrastructure, including NICUs and ophthalmology departments, to ensure the availability of necessary equipment and resources for ROP screening and treatment.

By implementing these recommendations, access to maternal health can be improved, and the risk of ROP can be reduced, leading to better outcomes for preterm babies in Rwanda.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Increase availability and accessibility of maternal health services: This can be achieved by establishing more maternal health clinics and facilities, particularly in rural areas where access is limited. Mobile clinics and telemedicine can also be utilized to reach remote communities.

2. Strengthen antenatal care services: Enhancing antenatal care services can help identify and address potential risk factors early on. This can include regular check-ups, screenings, and education on healthy pregnancy practices.

3. Improve transportation infrastructure: In areas where transportation is a barrier to accessing maternal health services, improving road networks and transportation options can greatly enhance access. This can involve building or repairing roads, providing transportation subsidies, or implementing emergency transportation systems.

4. Enhance community engagement and education: Engaging local communities and raising awareness about the importance of maternal health can help overcome cultural and social barriers. This can involve community health workers, educational campaigns, and partnerships with local leaders and organizations.

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 specific indicators that measure access to maternal health, such as the number of women receiving antenatal care, the distance to the nearest maternal health facility, or the percentage of women receiving skilled birth attendance.

2. Collect baseline data: Gather data on the current state of access to maternal health services. This can involve surveys, interviews, or analysis of existing data sources.

3. Develop a simulation model: Create a simulation model that incorporates the identified recommendations and their potential impact on the chosen indicators. This model should consider factors such as population demographics, geographic distribution, 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 different scenarios. This can involve adjusting variables such as the number of clinics, transportation options, or community engagement efforts.

5. Analyze results: Analyze the simulation results to determine the potential impact of the recommendations on improving access to maternal health. This can involve comparing different scenarios, identifying key drivers of change, and assessing the feasibility and cost-effectiveness of the recommendations.

6. Refine and validate the model: Refine the simulation model based on the analysis and feedback from stakeholders. Validate the model by comparing the simulated results with real-world data, if available.

7. Communicate findings and make recommendations: Present the findings of the simulation study to relevant stakeholders, policymakers, and healthcare providers. Use the results to make evidence-based recommendations for improving access to maternal health services.

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