Loss to follow-up and associated maternal factors among HIV-exposed infants at the Mbarara Regional Referral Hospital, Uganda: A retrospective study

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Study Justification:
– Loss to follow-up (LTFU) among HIV-exposed infants is a critical issue as it deprives them of necessary care and increases the risk of HIV transmission.
– This study aimed to determine the rate of LTFU, postnatal mother-to-child HIV transmission (MTCT), and identify maternal factors associated with LTFU at the Mbarara Regional Referral Hospital PMTCT clinic in Uganda.
Highlights:
– Out of 1624 infants enrolled at the clinic, 48% were lost to follow-up by 18 months of age.
– Factors associated with LTFU included young maternal age, long distance to the health facility, and non-use of family planning.
– In-depth interviews revealed additional facility-level factors such as “waiting time” that contribute to LTFU.
– Incorporating family planning services in the ART and PMTCT clinics could help reduce LTFU among HIV-exposed infants.
– Targeted information for young mothers on the importance of completing the follow-up schedule and obtaining a clinic identification number at each visit is recommended.
Recommendations:
– Integrate family planning services into the ART and PMTCT clinics to improve access and utilization.
– Provide targeted information and counseling to young mothers on the importance of completing the follow-up schedule and obtaining a clinic identification number.
– Address facility-level factors such as reducing waiting times to improve retention in care.
Key Role Players:
– Healthcare providers at the Mbarara Regional Referral Hospital PMTCT clinic.
– Maternal and child health program managers.
– Policy makers and government officials responsible for HIV/AIDS programs.
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers on integrating family planning services.
– Development and dissemination of targeted information materials for young mothers.
– Improvement of clinic infrastructure and processes to reduce waiting times.
– Monitoring and evaluation activities to assess the impact of the recommendations.
Please note that the cost items provided are general suggestions and may vary based on the specific context and resources available.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study design is described as a mixed study design comprising a descriptive retrospective registry-based cohort study and in-depth interviews. The study provides quantitative data on loss to follow-up among HIV-exposed infants and identifies maternal factors associated with loss to follow-up. In addition, qualitative interviews were conducted to capture factors not captured in the electronic database. However, the abstract does not provide information on the sample size for the qualitative interviews or how the qualitative data were analyzed. To improve the evidence, the abstract should provide more details on the sample size and analysis of the qualitative interviews.

Background: Loss to follow-up (LTFU) deprives HIV-exposed infants the lifesaving care required and results in exposing HIV free infants to virus requisition risk. We aimed to determine the rate of LTFU, postnatal mother-to-child HIV-transmission (MTCT) and to identify maternal factors associated with LTFU among HIV-exposed infants enrolled at Mbarara Regional Referral Hospital PMTCT clinic. Methods: Study participants were infants born to HIV-positive mothers enrolled in the PMTCT clinic for HIV care at Mbarara Regional Referral Hospital. While access database in the Early Infant Diagnosis (EID) clinic provided data on infants, the open medical record system database at the ISS clinic provided that for mothers. Infants were classified as LTFU if they had not completed their follow-up schedule by 18 months of age. At 18 months, an infant is expected to receive a rapid diagnostic test before being discharged from the PMTCT clinic. Postnatal MTCT of HIV was calculated as a proportion of infants followed and tested from birth to 18 months of age. Logistic regression was used to determine possible associations between mothers’ characteristics and LTFU. In-depth interviews of mothers of LTFU infants and health workers who attend to the HIV-exposed infants were carried out to identify factors not captured in the electronic database. Results: Out of 1624 infants enrolled at the clinic, 533 (33%) were dropped for lack of mother’s clinic identification number, 18 (1.1%) were either dead or transferred out. Out of 1073 infants analysed, 515 (48%) were LTFU by 18 months of age while out of the 558 who completed their follow-up schedule, 20 (3.6%) tested positive for HIV. Young age of mother, far distance to hospital and non-use of family planning were identified as outstanding factors responsible for LTFU. In addition, in-depth interviews revealed facility-level factors such as “waiting time” which would not be found in routine client databases. Conclusion: This study has revealed a high rate of loss to follow up among HIV-exposed infants enrolled at Mbarara Regional Referral hospital PMTCT clinic. Young maternal age, long distance to health facility and failure to use family planning were significantly associated with LTFU. Incorporating family planning services in the ART and PMTCT clinics could reduce loss to follow-up of HIV exposed infants. Young mothers should be targeted with information on the importance of completing the EID follow-up schedule and also, their clinic identification number be gotten at each visit.

This was a mixed study design comprising a descriptive retrospective registry-based cohort study and In-depth Interviews. The retrospective study was carried out on infants born to HIV positive mothers attending the PMTCT/EID clinic at Mbarara Hospital Immune Suppression Syndrome (ISS) clinic. In addition, qualitative interviews of mothers whose babies were lost to follow-up and health workers in the EID/PMTCT clinic were carried out. The study was conducted at the ISS clinic of Mbarara Regional Referral Hospital (MRRH) in Mbarara district. Mbarara district is found in the south-western part of Uganda, and is located 270kms from Kampala city. At this hospital like in all maternal child health (MCH) facilities, all pregnant women attending antenatal care (ANC) clinic receiving counselling, are tested for HIV and are recorded in PMTCT or ANC registers. All HIV positive women are recorded in PMTCT care registers and instantly placed on lifelong ART treatment regardless of CD4 count or gestation period. They are started on ART combination of TDF, 3TC and EFV. Infants born to mothers infected by HIV are documented in the EID register after birth, and followed up till they are 18 months old and within this time, mothers receive counselling on infant feeding along with ARV prophylaxis for PMTCT of HIV. To this effect, infants whose mothers are placed on lifelong ART are given once daily NVP from birth to 6 weeks of age regardless of whether they are exclusively breastfed or given replacement feeding and thereafter receive cotrimoxazole prophylaxis. According to the Uganda HIV infant testing algorithm, an HIV DNA PCR test is carried out at ≤6 weeks of age and cotrimoxazole is then started. In the case where the 1st DNA PCR is negative and the child has been breastfeeding, the 2nd DNA PCR test is carried out 6 weeks after breastfeeding has stopped. When a 2nd PCR turns out to be negative, a rapid HIV test is conducted at 18 months old prior exit of care by child. On the other hand, if the 1st or 2nd PCR is positive, the infant is referred for ART initiation. By June, 2014, the EID/PMTCT clinic at Mbarara Hospital ISS clinic had 3120 infant’s cumulative enrolment since its inception in 2005, and by January 2013, 2072 infants enrolled. The study was delimited to HIV exposed infants who enrolled for care at the Mbarara Hospital PMTCT/EID clinic between January 2010 and January 2013 and whose mothers received care from Mbarara Regional Referral Hospital ISS clinic during the same period. Infants whose mothers’ lacked clinic identification numbers were deemed ineligible. All HIV-exposed infants who had been enrolled from January 2010 to January 2013 and followed up for 18 months and whose mothers received care from ISS clinic were analysed. A sample size of 772 mother-infant pairs was estimated based on assumptions of 80% power; odds ratio for loss to follow up of 2.2 [7] and level of significance of 0.05 (two-sided). This estimate was reached at using a method in observational epidemiology for calculating sample size for unmatched cross-sectional studies, cohort studies and randomized clinical trials [7, 8]. Data on HIV-exposed infants were obtained from the Access database system for the PMTCT/EID clinic whereas, data on mothers were obtained from the electronic Open Medical Record System (Open MRS), the database for the ISS clinic. Data of eligible mother-infant pairs were identified by unique client numbers in the electronic databases and the dataset converted into STATA format (Stata Corporation Inc.). The main outcome variable was loss to follow-up among HIV-exposed infants. An infant was classified loss-to follow-up if he/she did not complete follow up to the point of being discharged and was not declared deceased. Data on independent variables were extracted as recorded in databases and later categorised where necessary as described by Kabakyenga and colleagues (1). For example, age was categorised and coded as 0 “18–23”, 1 “24–29” and 2 “> 30 years”. Fourteen interviews were conducted, ten of them with selected HIV positive mothers whose exposed infants were lost to follow up and four with health workers who attend to these infants. The purpose of the qualitative interviews was to capture factors associated with LTFU that could have been missed out in the electronic database of the ISS clinic such as facility-level client experiences and health worker behaviours. Tracing of mothers of lost babies was done by phone calls after their information had been generated from the data set. Only mothers who had left their phone contacts with the clinic were contacted. Interviews were audio recorded, transcribed word verbatim and translated approximately from the local dialect to English language for analysis. Quantitative data analysis was done using Stata version 11.0 (Stata Corp, College Station, TX, USA). Frequency counts and percentages were obtained to describe socio-demographics and other categorical variables. The median and inter-quartile ranges were used to describe quantitative variables with skewed distributions such as CD4 count. In the bivariate analysis, independent variables were cross tabulated with the outcome variable to determine possible associations. Odds Ratios and their 95% confidence intervals were calculated. Independent variables with p-value ≤ 0.2 in the bivariate analysis were entered into a multivariable logistic regression model to adjust for confounding. Statistical significance of variables in the final model was assessed based on a p-value threshold of ≤0.05. In analysing the qualitative data, English transcripts were read in between the lines to identify codes and themes. Identification of codes was guided by the conceptual framework and study objectives with room for emergent themes from the data. Coding and analysis were done manually using a cut and paste approach where segments from the transcripts were copied and assigned to the generated codes.

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

1. Mobile Health (mHealth) Solutions: Develop mobile applications or SMS-based systems to send reminders and educational messages to pregnant women and new mothers about the importance of attending follow-up appointments and receiving necessary care. This could help reduce loss to follow-up and improve adherence to treatment.

2. Telemedicine: Implement telemedicine services to provide remote consultations and follow-up care for pregnant women and new mothers who live in remote areas or have difficulty accessing healthcare facilities. This could help overcome geographical barriers and ensure timely access to maternal health services.

3. Integrated Care: Integrate family planning services with antenatal and postnatal care to ensure that women have access to contraception and can make informed decisions about their reproductive health. This could help address the identified factor of non-use of family planning contributing to loss to follow-up.

4. Community Health Workers: Train and deploy community health workers to provide education, support, and follow-up care for pregnant women and new mothers in their communities. These workers can help bridge the gap between healthcare facilities and the community, ensuring that women receive the necessary care and support.

5. Quality Improvement Initiatives: Implement quality improvement initiatives at healthcare facilities to address facility-level factors that contribute to loss to follow-up, such as long waiting times. This could involve streamlining processes, improving communication, and enhancing the overall patient experience.

These innovations have the potential to improve access to maternal health by addressing various barriers and challenges identified in the study. However, further research and evaluation would be needed to assess their effectiveness and feasibility in the specific context of Mbarara Regional Referral Hospital in Uganda.
AI Innovations Description
Based on the information provided, here is a recommendation that can be developed into an innovation to improve access to maternal health:

Incorporating family planning services in the ART (Antiretroviral Therapy) and PMTCT (Prevention of Mother-to-Child Transmission) clinics could reduce loss to follow-up of HIV-exposed infants. Young mothers should be targeted with information on the importance of completing the Early Infant Diagnosis (EID) follow-up schedule, and their clinic identification number should be obtained at each visit.

This recommendation is based on the findings of the study, which identified young age of mother, far distance to hospital, and non-use of family planning as factors associated with loss to follow-up (LTFU) among HIV-exposed infants. By integrating family planning services into the existing ART and PMTCT clinics, mothers can receive comprehensive care and support, including contraception, which can help them plan their pregnancies and reduce the risk of unintended pregnancies. This, in turn, can contribute to better adherence to follow-up schedules and improved access to maternal health services.

Additionally, targeting young mothers with information on the importance of completing the EID follow-up schedule can help raise awareness and promote engagement in care. Ensuring that each mother has a clinic identification number at each visit can facilitate tracking and follow-up, making it easier to monitor and support the health of both the mother and the infant.

By implementing this recommendation, healthcare facilities can enhance the continuity of care for HIV-exposed infants and improve access to maternal health services, ultimately leading to better health outcomes for both mothers and infants.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthening the PMTCT/EID clinic: Enhance the capacity and resources of the clinic to provide comprehensive care for HIV-exposed infants and their mothers. This can include improving infrastructure, increasing the availability of healthcare professionals, and ensuring a steady supply of essential medications and diagnostic tests.

2. Integration of family planning services: Incorporate family planning services within the ART and PMTCT clinics to address the identified factor of non-use of family planning as a barrier to follow-up. This integration can help ensure that mothers have access to contraception and can plan their pregnancies effectively, reducing the risk of unintended pregnancies and subsequent loss to follow-up.

3. Targeted information and education: Develop targeted information and education campaigns to raise awareness among young mothers about the importance of completing the EID follow-up schedule. This can include providing clear and concise information about the benefits of follow-up care for HIV-exposed infants and addressing any misconceptions or fears that may contribute to loss to follow-up.

4. Reduction of barriers to access: Address the identified factor of long distance to the health facility by implementing strategies to reduce transportation barriers. This can include providing transportation subsidies or arranging mobile clinics in remote areas to ensure that mothers and infants can easily access the necessary healthcare services.

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

1. Define the indicators: Identify specific indicators that can measure the impact of the recommendations, such as the rate of loss to follow-up, the proportion of infants completing their follow-up schedule, and the rate of postnatal mother-to-child HIV transmission.

2. Collect baseline data: Gather data on the current status of the indicators before implementing the recommendations. This can involve reviewing existing records and conducting surveys or interviews with mothers and healthcare workers.

3. Implement the recommendations: Roll out the recommended interventions, such as strengthening the PMTCT/EID clinic, integrating family planning services, and conducting targeted information campaigns.

4. Monitor and evaluate: Continuously monitor the implementation of the recommendations and collect data on the indicators. This can involve tracking the number of HIV-exposed infants enrolled, the completion rates of follow-up schedules, and the rate of postnatal mother-to-child HIV transmission.

5. Analyze the data: Analyze the collected data to assess the impact of the recommendations on improving access to maternal health. This can involve comparing the baseline data with the data collected after implementing the recommendations to determine any changes or improvements.

6. Adjust and refine: Based on the analysis of the data, make any necessary adjustments or refinements to the recommendations. This can include identifying areas that require further improvement or identifying additional interventions that may be needed.

By following this methodology, it will be possible to simulate the impact of the recommendations on improving access to maternal health and make informed decisions on how to further enhance the healthcare services provided to HIV-exposed infants and their mothers.

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