Prevalence and determinants of adherence to HAART amongst PLHIV in a tertiary health facility in south-south Nigeria

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Study Justification:
– Adherence to Highly active antiretroviral therapy (HAART) is crucial for the success of HIV/AIDS treatment.
– Good adherence to HAART leads to better virologic response, reduced risk of drug resistance, and lower morbidity and mortality.
– This study aimed to determine the prevalence and determinants of adherence to HAART among people living with HIV (PLHIV) in a tertiary health facility in south-south Nigeria.
Highlights:
– The study included 411 PLHIV accessing treatment at the Presidential Emergency plan for AIDS relief (PEPFAR) clinic of the University of Calabar Teaching Hospital.
– The self-reported adherence rate based on a one-week recall prior to the study was 59.9%.
– The major reasons for skipping doses included a busy schedule, forgetting medications, feeling depressed, and traveling out of town.
– Perceived improved health status, reduced pill load, and non-use of herbal remedies were predictors for adherence to HAART.
– Payment for ART services significantly decreased the likelihood of adherence to HAART.
Recommendations for Lay Reader and Policy Maker:
– Implement adherence-enhancing intervention strategies to reduce pill load and ensure uninterrupted access to free services.
– Provide support and education to PLHIV on the importance of adherence and strategies to overcome barriers.
– Address the financial burden of ART services to improve adherence rates.
Key Role Players:
– Healthcare providers: responsible for educating and supporting PLHIV in adherence to HAART.
– Policy makers: responsible for implementing strategies to reduce pill load and ensure uninterrupted access to free services.
– Community organizations: can provide support and education to PLHIV on adherence and help address financial barriers.
Cost Items for Planning Recommendations:
– Education and training materials for healthcare providers.
– Support services for PLHIV, such as counseling and peer support.
– Outreach programs to reach PLHIV in remote areas.
– Subsidies or financial assistance programs to reduce the financial burden of ART services.
Please note that the cost items provided are general suggestions and may vary depending 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 was conducted at a reputable clinic and included a relatively large sample size. Adherence was measured using a self-reporting tool, which may introduce bias. The study identified several determinants of adherence to HAART, providing valuable insights. However, the study design was cross-sectional, limiting the ability to establish causality. To improve the evidence, future studies could consider using objective measures of adherence and conducting longitudinal studies to establish causality.

Background: Adherence to Highly active antiretroviral therapy (HAART) is a major predictor of the success of HIV/AIDS treatment. Good adherence to HAART is necessary to achieve the best virologic response, lower the risk of drug resistance and reduce morbidity and mortality. This study therefore aimed to determine the prevalence and determinants of adherence to HAART amongst PLHIV accessing treatment in a tertiary location in Cross River State, Nigeria. Methods: A cross-sectional study was conducted among patients on HAART attending the Presidential Emergency plan for AIDS relief (PEPFAR) clinic of the University of Calabar Teaching Hospital between October-December 2011. A total of 411 PLHIV visiting the study site during the study period were interviewed. PLHIV who met the inclusion criteria were consecutively recruited into the study till the desired sample size was attained. Information was obtained from participants using a semi-structured, pretested, interviewer administered questionnaire. Adherence was measured via patients self report and were termed adherent if they took at least 95% of prescribed medication in the previous week prior to the study. Data were summarized using proportions, and χ2 test was used to explore associations between categorical variables. Predictors of adherence to HAART were determined by binary logistic regression. Level of significance was set at p < 0.05.Results: The mean age of PLHIV who accessed treatment was 35.7 ± 9.32 years. Females constituted 68.6% of all participants. The self reported adherence rate based on a one week recall prior to the study was 59.9%. The major reasons cited by respondents for skipping doses were operating a busy schedule, simply forgot medications, felt depressed, and travelling out of town. On logistic regression analysis, perceived improved health status [OR 3.11; CI: 1.58-6.11], reduced pill load [OR 1.25; 95% CI: 0.46-2.72] and non-use of herbal remedies [OR 1.83; 95% CI: 1.22-2.72] were the major predictors for adherence to HAART. However, payment for ART services significantly decreased the likelihood of adherence to HAART. [OR 0.46; 95% CI: 0.25-0.87.].Conclusions: The adherence rate reported in this study was quite low. Appropriate adherence enhancing intervention strategies targeted at reducing pill load and ensuring an uninterrupted access to free services regimen is strongly recommended. © 2013 Oku et al.; licensee BioMed Central Ltd.

The study was conducted at the President’s Emergency plan for AIDS Relief (PEPFAR) clinic now the Specialist treatment clinic of the University of Calabar Teaching Hospital. The Hospital was selected as a centre for the implementation of the President’s Emergency plan for AIDS Relief (PEPFAR) by the United States Agency for International Development (USAID) in June 2005. It has since been responsible for the provision of care and support services for PLHIV as well as one of the major centres where PLHIV both in Cross River and other neighbouring states receive anti retroviral therapy. The patient population is about 4,000, of which more than 2,000 are on treatment. The clinic is run under three units. The paediatric adult and the Prevention of Maternal to Child transmission (PMTCT) clinics. The study population comprised of 411 HIV positive clients who were enrolled and had commenced HAART in UCTH from October 2011- December 2011. They were made of 129 males and 282 females. Participants were consecutively recruited over the study period till the desired sample size was attained. All PLHIV on HAART were eligible to participate except those that satisfied the exclusion criteria. These criteria included PLHIV below 18 years of age, who were attending the clinic but had not commenced HAART, terminally ill patients and pregnant women. The inclusion criteria adopted for the study included consenting out patients diagnosed and confirmed to be HIV positive, at least 18 years of age and had been on HAART for 3 months. A cross-sectional analytical study aimed at documenting the level of adherence among PLHIV on HAART was conducted between October 2011- December 2011. This consisted of an interviewer administered semi-structured questionnaire which was divided into sections to collect relevant information on socio-demographic data, medical profile including treatment experiences at health facility of respondents. Adherence to HAART in the previous seven days of the interview was measured by self-report. The questions were adopted from The Brief Medication Questionnaire self-report tool for screening adherence and barriers to adherence [20]. The degree of adherence from patient self-reporting was estimated using the following formula: [21] Then, the percentage of adherence to the antiretroviral was estimated by the average of adherence to the drugs. For the purpose of this study a score of 95% and above represented good adherence and less than 95% was rated as having poor/suboptimal adherence. Data were analyzed using SPSS for windows version 19.0. Descriptive and inferential statistical tests were employed. These included bivariate (chi-square) and multivariate (logistic regression) analysis to determine correlates or predictors of adherence. Descriptive statistics (frequencies, proportions, means and standard deviation to summarize variables while Inferential statistics (chi square Test) was used to test the significance of association between categorical variables and level of significance was set at 5%. Logistic regression analysis was used to identify the predictors of adherence to HAART in the study population. Variables entered into the logistic model were those which had earlier been significantly associated on bivariate analysis at 10% significance derived. Predictors were determined at 5% significance. The ethical Committee of the University of Calabar Teaching Hospital reviewed and approved the study procedures and data collection instruments.

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

1. Mobile health (mHealth) applications: Develop mobile applications that provide information and reminders for pregnant women regarding prenatal care, medication adherence, and appointment reminders. These apps can also provide access to telemedicine services for remote consultations with healthcare providers.

2. Telemedicine services: Implement telemedicine services to provide remote access to healthcare providers for pregnant women in rural or underserved areas. This can help overcome geographical barriers and improve access to prenatal care and consultations.

3. Community health workers: Train and deploy community health workers to provide education, support, and basic healthcare services to pregnant women in their communities. These workers can help improve access to maternal health services and provide ongoing support throughout pregnancy.

4. Maternal health clinics: Establish dedicated maternal health clinics that provide comprehensive prenatal care, including regular check-ups, screenings, and education. These clinics can also offer specialized services for high-risk pregnancies and ensure continuity of care throughout the pregnancy.

5. Financial incentives: Implement financial incentives, such as subsidies or cash transfers, to encourage pregnant women to seek and adhere to prenatal care. This can help reduce financial barriers and improve access to essential maternal health services.

6. Public-private partnerships: Foster collaborations between public and private sectors to improve access to maternal health services. This can involve leveraging private sector resources and expertise to expand healthcare infrastructure, improve service delivery, and increase availability of essential maternal health supplies.

7. Health information systems: Develop and implement robust health information systems that enable efficient and accurate data collection, analysis, and reporting on maternal health indicators. This can help identify gaps in access to care and inform evidence-based decision-making for targeted interventions.

8. Maternal health education programs: Implement comprehensive maternal health education programs that target both pregnant women and healthcare providers. These programs can increase awareness about the importance of prenatal care, promote healthy behaviors during pregnancy, and improve healthcare provider knowledge and skills in managing maternal health.

It is important to note that the specific context and needs of the target population should be considered when implementing these innovations.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health is to implement appropriate adherence enhancing intervention strategies targeted at reducing pill load and ensuring uninterrupted access to free services. This recommendation is based on the findings of the study, which showed that perceived improved health status, reduced pill load, and non-use of herbal remedies were major predictors for adherence to Highly active antiretroviral therapy (HAART) among people living with HIV (PLHIV). However, payment for ART services significantly decreased the likelihood of adherence to HAART. Therefore, it is important to provide free services and minimize the pill load for pregnant women accessing maternal health services to improve adherence to medication and ultimately improve maternal health outcomes.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Telemedicine: Implementing telemedicine services can provide remote access to healthcare professionals for prenatal care, postpartum check-ups, and consultations. This can be particularly beneficial for women in rural or underserved areas who may have limited access to healthcare facilities.

2. Mobile clinics: Setting up mobile clinics that travel to remote areas can bring essential maternal healthcare services closer to women who may have difficulty accessing traditional healthcare facilities. These clinics can provide prenatal care, vaccinations, and health education.

3. Community health workers: Training and deploying community health workers can help bridge the gap between healthcare facilities and communities. These workers can provide education, support, and basic healthcare services to pregnant women, ensuring they receive the necessary care throughout their pregnancy.

4. Financial incentives: Implementing financial incentives, such as cash transfers or subsidies, can help reduce the financial barriers that prevent women from accessing maternal healthcare services. This can include covering transportation costs, medical fees, or providing incentives for attending prenatal check-ups.

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 benefit from the recommendations, such as pregnant women in a particular region or community.

2. Collect baseline data: Gather data on the current access to maternal health services, including the number of women receiving prenatal care, the distance to healthcare facilities, and any existing barriers.

3. Simulate the implementation of recommendations: Use modeling techniques to simulate the impact of each recommendation on improving access to maternal health. This can involve estimating the number of additional women who would receive care, the reduction in travel distance, or the increase in knowledge and awareness.

4. Analyze the results: Evaluate the simulated impact of the recommendations and assess their effectiveness in improving access to maternal health. This can include measuring changes in key indicators such as the number of prenatal visits, maternal mortality rates, or the percentage of women receiving essential interventions.

5. Refine and adjust recommendations: Based on the analysis of the simulation results, refine and adjust the recommendations as needed to optimize their impact on improving access to maternal health.

6. Monitor and evaluate implementation: Continuously monitor and evaluate the implementation of the recommendations to assess their long-term impact and identify any challenges or areas for improvement. This can involve collecting data on key indicators and conducting surveys or interviews with stakeholders and beneficiaries.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of different recommendations on improving access to maternal health and make informed decisions on which interventions to prioritize and implement.

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