Antibiotic use during pregnancy: A retrospective study of prescription patterns and birth outcomes at an antenatal clinic in rural Ghana

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Study Justification:
– Antibiotic use during pregnancy is a common practice, but its safety and impact on birth outcomes in Sub-Saharan Africa are not well understood.
– This study aimed to assess the extent of antibiotic use in pregnancy and its effects on birth outcomes in a rural hospital in Ghana.
– The findings of this study will contribute to the limited data on antibiotic use, safety, and its impact on neonatal health in Sub-Saharan Africa.
Study Highlights:
– 65% of pregnant women attending the antenatal clinic received antibiotics during pregnancy.
– Beta Lactam antibiotics accounted for more than 67% of all antibiotics prescribed.
– There was a statistically significant association between antibiotic exposure and pregnancy factors such as stage of pregnancy, parity, and mode of delivery.
– Intrapartum antibiotic exposure did not significantly affect birthweight, incidence of congenital birth defects, and mean Apgar scores.
– However, antibiotic use less than 24 hours before delivery was associated with a decrease in mean Apgar scores.
– Maternal socio-economic factors such as age and marital status significantly affected birth weight.
Study Recommendations:
– Further research is needed to explore the long-term effects of antibiotic use during pregnancy on neonatal health.
– Healthcare providers should carefully consider the timing and type of antibiotics prescribed during pregnancy.
– Education and awareness programs should be implemented to promote appropriate antibiotic use during pregnancy.
– Policies and guidelines should be developed to regulate antibiotic use in pregnancy and ensure the safety of both mother and baby.
Key Role Players:
– Obstetricians and gynecologists
– Pharmacists
– Midwives and nurses
– Researchers and scientists
– Policy makers and government officials
– Healthcare administrators
Cost Items for Planning Recommendations:
– Research funding for further studies and data collection
– Development and implementation of education and awareness programs
– Training and capacity building for healthcare providers
– Policy development and implementation costs
– Monitoring and evaluation of antibiotic use during pregnancy programs

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 retrospective and descriptive, which limits the ability to establish causation. Additionally, the sample size is relatively small (412 mother-baby pairs) and may not be representative of the entire population. To improve the strength of the evidence, a prospective study design with a larger sample size could be considered. Additionally, controlling for confounding factors such as the dose, duration, and frequency of antibiotic administration would provide more accurate results. Finally, including data on long-term outcomes beyond birthweight and Apgar scores would provide a more comprehensive understanding of the effects of antibiotic use during pregnancy.

Background: Babies are increasingly being exposed to antibiotics intrapartum in the bid to reduce neonatal and maternal deaths. Intrapartum antibiotic exposure, including even those considered safe in pregnancy, have been associated with childhood obesity and compromised immunity. Data on the extent of antibiotic use, safety and its impact on birth outcomes and neonatal health in Sub-Saharan Africa is very limited. This study sought to ascertain the extent of antibiotic use in pregnancy and its effects on birth outcomes in a rural hospital in Ghana. Methods: The study was a retrospective randomized study of mothers who delivered babies in a rural hospital between 2011 and 2015 in Ghana. A total of 412 mother/baby records out of 2100 pre-selected met the inclusion criteria of the study. Indicators of neonatal health used were birthweight, Apgar score, incidence of birth defects. Results: Sixty five percent of pregnant women were administered antibiotics at some stage during pregnancy. Beta Lactam antibiotics accounted for more than 67% of all antibiotics prescribed. There was a statistically significant association between antibiotic exposure and pregnancy factors such as stage of pregnancy, parity and mode of delivery but not with socio-economic status of the mother. Intrapartum antibiotic exposure did not significantly affect the birthweight, incidence of congenital birth defect and mean Apgar scores. After adjusting for method of delivery, however, perinatal antibiotic use (24h to delivery) was associated with lower mean Apgar scores. Birth weight was affected significantly by maternal socio-economic factors such as age and marital status. Conclusion: Sixty five percent of women attending the antenatal clinic received antibiotics. Intrapartum antibiotics did not affect early markers of neonatal health such as birthweight, congenital birth defect and mean Apgar scores. However, antibiotic use less than 24h to delivery was associated with a decrease in mean APGAR score.

Seventh-Day Adventist Hospital, Dominase is a 45 bed capacity hospital located in Dominase about 19 km off the Kumasi–Cape coast highway. The hospital has an obstetrics and gynaecology unit which runs an antenatal clinic with a resident gynaecologist, pharmacist and several midwives and nurses. To limit the impact of un-prescribed and undocumented antibiotic usage, the area chosen was predominately rural with no existent pharmacy. Furthermore, the National Health Insurance Scheme of Ghana runs a “capitation policy” where patients choose a particular primary health care facility for their needs without paying out of pocket. Patients who visit any other facility aside the allocated facility have to pay to access healthcare. This discouraged the tendency for mothers from seeking health services from other facilities as well as reduce self –medication. This is of particular importance because antibiotics can be obtained without prescription in Ghana. The design was a retrospective descriptive study. The primary source of data was prescriptions generated and recorded in patient medical records filed in the hospital between January 2011 and December 2015. Folder numbers of all live babies born in the hospital between January, 2011 and September, 2015 were retrieved from the registration book at the maternity unit. Five hundred folder numbers were selected for each of the 5 years from the registration book using systematic sample, making a total of 2500 folders. The contents of 2100 folders were available for the study. Each folder of mother-baby pairs was subsequently screened using the inclusion and exclusion criteria. A total of 412 mother-baby pairs met the selection criteria. The Inclusion criteria included; The exclusion criteria included; Data obtained from the medical records were transferred unto a data capture form, the secondary data was later collated, scrutinized and analysed using IBM Statistical package for Social Sciences (SPSS) version 21. Pearson Chi-square test was used to analyze categorical variables. Relative risk and Odds ratio were used as a measure of the degree of association between an event (outcome) and comparable groups. Students T- test and One way analysis of variance (one-way Anova) were used to analyze the difference in mean values between a set of comparable groups or values. Bonferroni was used as the post hoc test after one- way Anova. A p-value less than 0.05 was considered statistically significant. The study assumed that antibiotic prescribed was synonymous with exposure which is not always the case. Because of the rural nature of the setting the hospital dispensary dispenses most of the medications prescribed at the same facility. This reduces the inconvenience of patients moving to city centers for their prescribed medicines. The dose prescribed, the duration of therapy and the frequency of administration were not taken into consideration. The design of the study could not totally account for possible out-of- hospital antibiotic use. The choice of a rural community with few chemical shop outlets and no pharmacy was expected to reduce this potential confounder. The National Health Insurance Scheme runs a “capitation policy” where a patient chooses one primary health care facility for their needs. The policy also reduces patients moving from one hospital to another because if a patient visits another hospital they have to pay hospital charges. This reduces attrition and tendency for self- medication.

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

1. Telemedicine: Implementing telemedicine services could allow pregnant women in rural areas to consult with healthcare professionals remotely, reducing the need for them to travel long distances to access healthcare facilities.

2. Mobile clinics: Establishing mobile clinics that visit rural communities regularly can provide essential prenatal care and education to pregnant women who may have limited access to healthcare facilities.

3. Community health workers: Training and deploying community health workers who can provide basic prenatal care, education, and support to pregnant women in rural areas can help improve access to maternal health services.

4. Health education programs: Developing and implementing health education programs that focus on maternal health and the importance of prenatal care can help raise awareness and empower women to seek appropriate healthcare during pregnancy.

5. Collaboration with local pharmacies: Partnering with local pharmacies to ensure the availability of prescribed medications, including antibiotics, can help prevent the misuse or self-medication of antibiotics during pregnancy.

6. Strengthening the National Health Insurance Scheme: Continuously improving and expanding the National Health Insurance Scheme to ensure that pregnant women have access to affordable and comprehensive maternal health services.

7. Data collection and analysis: Conducting further research and data collection on antibiotic use during pregnancy and its impact on birth outcomes in Sub-Saharan Africa can help inform evidence-based guidelines and policies to improve maternal and neonatal health.

It’s important to note that these recommendations are based on the specific context provided in the study and may need to be adapted to suit the local healthcare system and resources available in Ghana.
AI Innovations Description
Based on the information provided, a recommendation to improve access to maternal health would be to implement a comprehensive maternal health education program in rural areas of Ghana. This program should focus on educating pregnant women and their families about the appropriate use of antibiotics during pregnancy and the potential risks associated with their use. The program should also emphasize the importance of seeking prenatal care from a qualified healthcare provider and discourage self-medication.

Additionally, efforts should be made to strengthen the healthcare system in rural areas by increasing the availability of healthcare facilities and trained healthcare professionals. This could involve expanding the capacity of existing hospitals and clinics, as well as recruiting and training more midwives and nurses to provide quality prenatal care.

Furthermore, collaboration between healthcare providers, policymakers, and the National Health Insurance Scheme should be encouraged to ensure that pregnant women have access to affordable and quality healthcare services. This could involve streamlining the process for pregnant women to access healthcare services and providing financial support for those who cannot afford the necessary care.

Overall, the goal of these recommendations is to improve access to maternal health services, promote safe and appropriate antibiotic use during pregnancy, and ultimately reduce maternal and neonatal mortality rates in rural areas of Ghana.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health:

1. Strengthening Antenatal Care Services: Implementing comprehensive antenatal care services that include regular check-ups, health education, and screening for potential complications can help improve maternal health outcomes.

2. Enhancing Health Education: Conducting health education programs for pregnant women and their families can increase awareness about the importance of proper prenatal care, nutrition, and hygiene practices.

3. Improving Healthcare Infrastructure: Investing in the development and improvement of healthcare facilities, particularly in rural areas, can ensure that pregnant women have access to quality maternal healthcare services.

4. Training and Capacity Building: Providing training and capacity building programs for healthcare professionals, including midwives and nurses, can enhance their skills and knowledge in providing effective maternal healthcare.

5. Strengthening Referral Systems: Establishing efficient referral systems between primary healthcare facilities and higher-level hospitals can ensure that pregnant women receive timely and appropriate care, especially in cases of complications.

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

1. Baseline Data Collection: Gather data on the current state of maternal health access, including indicators such as the number of antenatal care visits, maternal mortality rates, and availability of healthcare facilities.

2. Define Key Metrics: Identify specific metrics that will be used to measure the impact of the recommendations, such as the increase in the number of antenatal care visits or the reduction in maternal mortality rates.

3. Intervention Implementation: Implement the recommended interventions, such as strengthening antenatal care services or improving healthcare infrastructure, in the selected area or healthcare facility.

4. Data Collection Post-Intervention: Collect data after the implementation of the interventions to assess the changes in the identified metrics. This can be done through surveys, interviews, or analysis of health records.

5. Data Analysis: Analyze the collected data to determine the impact of the interventions on improving access to maternal health. This can involve statistical analysis, comparison of pre- and post-intervention data, and identification of trends or patterns.

6. Evaluation and Reporting: Evaluate the results of the analysis and prepare a report summarizing the impact of the recommendations on improving access to maternal health. This report can be used to inform future decision-making and policy development in maternal healthcare.

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