Prescription of antibacterial drugs for HIV-exposed, uninfected infants, Malawi, 2004–2010

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Study Justification:
– Antimicrobial drug resistance is a serious health hazard driven by overuse.
– Administration of antimicrobial drugs to HIV-exposed, uninfected infants is poorly studied.
– HIV-exposed, uninfected infants are a growing population at high risk for infection.
Study Highlights:
– The study analyzed factors associated with antibacterial drug administration to HIV-exposed, uninfected infants during their first year of life.
– The study population consisted of 2,152 HIV-exposed, uninfected infants enrolled in the Breastfeeding, Antiretrovirals and Nutrition Study in Lilongwe, Malawi, from 2004 to 2010.
– Antibacterial drugs were frequently prescribed to 80% of infants, with 67% of prescriptions for respiratory indications.
– The most commonly prescribed antibacterial drugs were penicillins (43%) and sulfonamides (23%).
– Factors associated with lower prescription rates included receipt of cotrimoxazole preventive therapy, receipt of antiretroviral drugs, and increased age.
Recommendations:
– Implement cotrimoxazole preventive therapy for HIV-exposed, uninfected infants to reduce the need for antibacterial drug prescriptions.
– Promote the use of antiretroviral drugs for HIV-exposed, uninfected infants to further reduce the need for antibacterial drugs.
– Encourage healthcare providers to consider the age of the infant when prescribing antibacterial drugs.
Key Role Players:
– Healthcare providers: Responsible for prescribing and administering antibacterial drugs, cotrimoxazole preventive therapy, and antiretroviral drugs.
– Policy makers: Responsible for implementing guidelines and policies related to the prescription of antibacterial drugs for HIV-exposed, uninfected infants.
– Researchers: Responsible for conducting further studies to monitor the impact of interventions and identify additional factors influencing antibacterial drug prescription.
Cost Items for Planning Recommendations:
– Training and education programs for healthcare providers on the appropriate use of antibacterial drugs, cotrimoxazole preventive therapy, and antiretroviral drugs.
– Procurement and distribution of cotrimoxazole preventive therapy and antiretroviral drugs.
– Monitoring and evaluation of the implementation of cotrimoxazole preventive therapy and antiretroviral drugs.
– Research funding for further studies on the impact of interventions and identification of additional factors influencing antibacterial drug prescription.

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. To improve the evidence, the study could include a larger sample size and a control group for comparison. Additionally, the study could consider conducting a randomized controlled trial to further strengthen the evidence.

Antimicrobial drug resistance is a serious health hazard driven by overuse. Administration of antimicrobial drugs to HIV-exposed, uninfected infants, a population that is growing and at high risk for infection, is poorly studied. We therefore analyzed factors associated with antibacterial drug administration to HIV-exposed, uninfected infants during their first year of life. Our study population was 2,152 HIV-exposed, uninfected infants enrolled in the Breastfeeding, Antiretrovirals and Nutrition Study in Lilongwe, Malawi, during 2004–2010. All infants were breastfed through 28 weeks of age. Antibacterial drugs were prescribed frequently (to 80% of infants), and most (67%) of the 5,329 prescriptions were for respiratory indications. Most commonly prescribed were penicillins (43%) and sulfonamides (23%). Factors associated with lower hazard for antibacterial drug prescription included receipt of cotrimoxazole preventive therapy, receipt of antiretroviral drugs, and increased age. Thus, cotrimoxazole preventive therapy may lead to fewer prescriptions for antibacterial drugs for these infants.

Infants were enrolled in the Breastfeeding, Antiretrovirals and Nutrition (BAN) randomized clinical trial in Lilongwe, Malawi, during March 2004–January 2010 (11,12). The study enrolled 2,369 HIV-infected pregnant women >14 years of age with CD4+ counts of >250 cells/μL (>200 cells/μL before July 24, 2006) and their infants. Enrollment was limited to infants that weighed >2,000 g at birth and that had no condition precluding study interventions. At the time of labor, all mothers received 1 dose (200 mg) of oral nevirapine followed by oral zidovudine (300 mg 2×/d) and lamivudine (150 mg 2×/d) for 7 days; their newborns received 1 dose of oral nevirapine (2 mg/kg bodyweight) and twice daily oral zidovudine (2 mg/kg bodyweight) and lamivudine (4 mg/kg) for 7 days. Using a factorial design, we randomly assigned eligible mother–infant pairs to receive or not receive a nutritional supplement while breastfeeding and to 1 of 3 ARV interventions to be initiated at birth and continued for 28 weeks or until breastfeeding cessation, if earlier. The ARV interventions were 1) daily nevirapine for the infant, 2) triple-drug ARV regimen for the mother, or 3) control (no treatment for mother or infant). According to a standardized protocol derived from the World Health Organization (WHO) Breastfeeding Counseling Training Manual (13), all mothers were individually counseled to breastfeed exclusively for the first 24 postpartum weeks and then wean rapidly during weeks 24–28. Because of overwhelming evidence of the intervention’s effectiveness, we stopped enrolling participants in the control group after we had 668 mother–infant pairs in this group; those already enrolled were offered the choice to switch to either of the interventions. During the BAN study, WHO and the Malawi Ministry of Health released updated guidelines for prophylaxis for HIV-infected mothers and HIV-exposed infants. To adhere to these guidelines, daily cotrimoxazole preventive therapy (CPT) was implemented for mothers (480 mg 2×/d) and infants (240 mg 1×/d) enrolled in the study as of June 13, 2006, and for all those enrolled afterward. Infants began CPT at their first study visit after 6 weeks of age and continued through 36 weeks of age or until weaning was complete and HIV infection was ruled out. At 2, 6, 12, 18, 24, 28, 36, and 48 weeks, we collected data on anthropometrics, vital signs, illnesses and hospitalizations since the last visit, current symptoms, and physical examination findings. Participants were advised to return to the clinic (to which they had unlimited access) between visits for treatment if the woman or child was ill. Medical care was provided according to the standard of care at the study clinics, and participants were given insecticide-treated bed nets. Guidelines for medication prescribing in Malawi are set by the Malawi Standard Treatment Guidelines, 4th Edition (14), and are based on the WHO Integrated Management of Childhood Illness Guidelines (http://whqlibdoc.who.int/publications/2005/9241546441.pdf). We collected data about prescriptions from the study concomitant medications log, which was abstracted from pharmacy records. If an infant had been examined by an outside healthcare provider, the mother was asked to report medications received. For hospitalized participating mothers and their infants, we obtained medical records when possible and included in our analysis any antibacterial drugs administered. At study visits, patients were asked if they had taken any medication not prescribed by study physicians, and any such medications were recorded. As outcomes, we considered only prescriptions for antibacterial agents (Table 1); other prescriptions, including antimalarial and antiparasitic medications, were excluded. Prescription of CPT was not considered an outcome. HIV status of infants at 2, 12, 28, and 48 weeks of age was determined by using a Roche Amplicor 1.5 DNA PCR (https://diagnostics.roche.com). Positive results were confirmed by testing an additional blood specimen. The window of infection was narrowed by testing dried blood spot specimens collected at 4, 6, 8, 18, 24, 32, and 36 weeks. We included in our analysis the 2,152 infants who were HIV negative at 2 weeks of age; we removed from the study and referred for care those who were not. The BAN study was approved by the Malawi National Health Science Research Committee and the institutional review boards at the University of North Carolina at Chapel Hill and the US Centers for Disease Control and Prevention (CDC). All women provided written, informed consent for specimen storage and laboratory studies. For descriptive analyses, we calculated frequencies and medians for all exposures and covariables. Total antibacterial drug prescriptions are presented as frequencies and as medians per infant and per infant-month of follow-up. We describe frequencies of prescriptions of antibacterials by drug class, indications, indication categories, respiratory indication subcategories, and routes of administration. We compare the categorical proportions of exposures, covariables, and total antibacterial drug prescriptions by using χ2 tests and assessed continuous variables by using the Kruskal–Wallis test. A Cox proportional hazards model with recurrent events modeled as a counting process was used to assess the hazards of antibacterial prescription by time-dependent CPT status; ARV group; malaria season (October–April); nutritional study group; maternal demographics; maternal CD4+ T-cell count at delivery; log maternal HIV viral load during pregnancy; and infant sex, birthweight, and categorical age (<1, 1–3, 3–6, or 6–12 mo). To assess the proportional hazards assumption and determine whether the effects of independent variables on the hazard of antibacterial prescription varied with infant age, we included interaction terms in Cox models. Infant follow-up ended at death, mother’s death, or loss to follow-up. For the 71 infants who became HIV infected after 2 weeks of age, follow-up ended at the time of their last HIV-negative test result. The first week of life and the 5 days after prescription of an antibacterial drug do not contribute to total follow-up time, and antibacterial drug prescriptions administered during these periods were excluded. Sensitivity analyses excluded the 71 infants who became HIV-infected after 2 weeks of follow-up and excluded prescriptions for topical antibacterials. In analyses considering time-varying CPT exposure, infants were considered exposed from the first post-CPT implementation (June 13, 2006) study visit at or later than 6 weeks of age. Study group is modeled as an intent-to-treat variable. All analyses were performed by using SAS 9.4 (https://www.sas.com/).

The study “Prescription of antibacterial drugs for HIV-exposed, uninfected infants, Malawi, 2004–2010” analyzed factors associated with antibacterial drug administration to HIV-exposed, uninfected infants during their first year of life. The study found that antibacterial drugs were prescribed frequently to these infants, with most prescriptions being for respiratory indications. The most commonly prescribed antibacterial drugs were penicillins and sulfonamides. Factors associated with lower prescription rates included receipt of cotrimoxazole preventive therapy, receipt of antiretroviral drugs, and increased age.

Based on this study, potential innovations to improve access to maternal health could include:

1. Strengthening preventive therapy: Increasing access to and utilization of cotrimoxazole preventive therapy for HIV-exposed, uninfected infants could help reduce the need for antibacterial drug prescriptions. This could involve improving awareness and education about the benefits of preventive therapy among healthcare providers and mothers.

2. Integrated healthcare services: Integrating antiretroviral drug administration and maternal health services could improve access to both preventive therapy and antiretroviral drugs for HIV-exposed, uninfected infants. This could involve co-locating services and ensuring coordination between different healthcare providers involved in maternal and child health.

3. Targeted interventions: Identifying and targeting high-risk populations, such as infants with lower CD4+ T-cell counts or infants born to mothers with high HIV viral loads, could help prioritize resources and interventions for those who need them the most. This could involve implementing screening and assessment protocols to identify high-risk infants and providing tailored interventions based on their specific needs.

4. Education and training: Providing comprehensive education and training programs for healthcare providers on the appropriate use of antibacterial drugs and the importance of preventive therapy could help reduce overprescription and improve overall maternal health outcomes. This could involve incorporating guidelines and best practices into training curricula and providing ongoing support and updates to healthcare providers.

5. Monitoring and evaluation: Implementing robust monitoring and evaluation systems to track prescription rates, adherence to preventive therapy, and maternal health outcomes could help identify areas for improvement and guide targeted interventions. This could involve establishing data collection and reporting mechanisms, conducting regular audits, and using data to inform decision-making and policy development.

It is important to note that these recommendations are based on the specific findings and context of the study mentioned. Implementing these innovations would require further research, stakeholder engagement, and adaptation to local healthcare systems and resources.
AI Innovations Description
The recommendation to improve access to maternal health based on the provided description is to implement cotrimoxazole preventive therapy (CPT) for HIV-exposed, uninfected infants. The study found that infants who received CPT had a lower hazard for antibacterial drug prescription. Therefore, providing CPT to these infants may lead to fewer prescriptions for antibacterial drugs, improving their access to maternal health.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Strengthening healthcare infrastructure: Invest in improving healthcare facilities, including clinics and hospitals, in areas with limited access to maternal health services. This can involve building new facilities, upgrading existing ones, and ensuring the availability of essential medical equipment and supplies.

2. Mobile health clinics: Implement mobile health clinics that can reach remote and underserved areas, providing maternal health services directly to women who may not have easy access to healthcare facilities. These clinics can offer prenatal care, postnatal care, and other essential services.

3. Community health workers: Train and deploy community health workers who can provide basic maternal health services, education, and support to women in their own communities. These workers can play a crucial role in increasing awareness, promoting healthy practices, and identifying high-risk pregnancies.

4. Telemedicine: Utilize telemedicine technologies to connect healthcare providers with pregnant women in remote areas. This can enable virtual consultations, remote monitoring of pregnancies, and timely access to medical advice and guidance.

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 that will be impacted by the recommendations, such as pregnant women in a particular region or community.

2. Collect baseline data: Gather data on the current state of maternal health access in the target population, including factors such as distance to healthcare facilities, availability of healthcare providers, and utilization of maternal health services.

3. Define indicators: Determine key indicators that will be used to measure the impact of the recommendations, such as the number of prenatal visits, rates of maternal mortality, or percentage of women receiving essential interventions.

4. Develop a simulation model: Create a simulation model that incorporates the baseline data and simulates the potential impact of the recommendations on the chosen indicators. This model can take into account factors such as population size, geographical distribution, and resource allocation.

5. Run simulations: Run multiple simulations using different scenarios, varying factors such as the number of healthcare facilities, deployment of community health workers, or implementation of telemedicine services. This will allow for the comparison of different strategies and their potential impact on improving access to maternal health.

6. Analyze results: Analyze the simulation results to assess the potential impact of the recommendations on the chosen indicators. This can involve comparing the outcomes of different scenarios and identifying the most effective strategies for improving access to maternal health.

7. Refine and iterate: Based on the analysis of the simulation results, refine the recommendations and simulation model as needed. Iterate the process to further optimize the strategies and ensure the most accurate representation of the potential impact.

By following this methodology, policymakers and healthcare stakeholders can gain insights into the potential effectiveness of various innovations and interventions in improving access to maternal health.

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