Factors contributing to antiretroviral drug adherence among adults living with HIV or AIDS in a Kenyan rural community

Discrepancies between self-reported medication in adherence and indirect measurement adherence among patients undergoing antiretroviral therapy: a systematic review

BACKGROUND

Given the critical importance of medication adherence in HIV/AIDS treatment, this study aims to compare medication adherence measured by self-report (SR) and indirect measurement among antiretroviral therapy (ART) patients, exploring the differences of adherence results measured by different tools.

METHODS

We systematically searched PubMed, Embase, and the Cochrane Library to identify all relevant literature published up to November 22, 2023, without language restrictions, reporting adherence to ART measured by both SR and indirect measurement methods, while also analyzing individual and group adherence separately. Discrepancies between SR and indirect measurement results were assessed using the Mann-Whitney U test or Wilcoxon signed-rank test, with correlations evaluated using the Pearson correlation coefficient. Following one-to-one comparisons, meta-epidemiological one-step analysis was conducted, and network meta-analysis techniques were applied to compare results obtained through specific adherence assessment tools reported in the identified articles.

RESULTS

The analysis encompassed 65 original studies involving 13,667 HIV/AIDS patients, leading to 112 one-to-one comparisons between SR and indirect measurement tools. Statistically significant differences were observed between SR and indirect measurement tools regarding both individual and group adherence (P < 0.05), with Pearson correlation coefficients of 0.843 for individual adherence and 0.684 for group adherence. During meta-epidemiological one-step analysis, SR-measured adherence was determined to be 3.94% (95% CI: -4.48-13.44%) higher for individual adherence and 16.14% (95% CI: 0.81-18.84%) higher for group adherence compared to indirectly measured results. Subgroup analysis indicated that factors such as the year of reporting and geographic region appeared to influence the discrepancies between SR and indirect measurements. Furthermore, network meta-analysis revealed that for both individual and group adherence, the results obtained from most SR and indirect measurement tools were higher than those from electronic monitoring devices, with some demonstrating statistical significance (P < 0.05).

CONCLUSIONS

The findings underscored the complexity of accurately measuring medication adherence among ART patients. Significant variability was observed across studies, with self-report methods showing a significant tendency towards overestimation. Year of reporting, geographic region, and adherence measurement tools appeared to influence the differences between SR and indirect measurements. Future research should focus on developing and validating integrated adherence measurements that can combine SR data with indirect measures to achieve a more comprehensive understanding of adherence behaviors.

Measuring patient engagement with HIV care in sub-Saharan Africa: a scoping study

INTRODUCTION

Engagement with HIV care is a multi-dimensional, dynamic process, critical to maintaining successful treatment outcomes. However, measures of engagement are not standardized nor comprehensive. This undermines our understanding of the scope of challenges with engagement and whether interventions have an impact, complicating patient and programme-level decision-making. This study identified and characterized measures of engagement to support more consistent and comprehensive evaluation.

METHODS

We conducted a scoping study to systematically categorize measures the health system could use to evaluate engagement with HIV care for those on antiretroviral treatment. Key terms were used to search literature databases (Embase, PsychINFO, Ovid Global-Health, PubMed, Scopus, CINAHL, Cochrane and the World Health Organization Index Medicus), Google Scholar and stakeholder-identified manuscripts, ultimately including English evidence published from sub-Saharan Africa from 2014 to 2021. Measures were extracted, organized, then reviewed with key stakeholders.

RESULTS AND DISCUSSION

We screened 14,885 titles/abstracts, included 118 full-texts and identified 110 measures of engagement, categorized into three engagement dimensions ("retention," "adherence" and "active self-management"), a combination category ("multi-dimensional engagement") and "treatment outcomes" category (e.g. viral load as an end-result reflecting that engagement occurred). Retention reflected status in care, continuity of attendance and visit timing. Adherence was assessed by a variety of measures categorized into primary (prescription not filled) and secondary measures (medication not taken as directed). Active self-management reflected involvement in care and self-management. Three overarching use cases were identified: research to make recommendations, routine monitoring for quality improvement and strategic decision-making and assessment of individual patients.

CONCLUSIONS

Heterogeneity in conceptualizing engagement with HIV care is reflected by the broad range of measures identified and the lack of consensus on "gold-standard" indicators. This review organized metrics into five categories based on the dimensions of engagement; further work could identify a standardized, minimum set of measures useful for comprehensive evaluation of engagement for different use cases. In the interim, measurement of engagement could be advanced through the assessment of multiple categories for a more thorough evaluation, conducting sensitivity analyses with commonly used measures for more comparable outputs and using longitudinal measures to evaluate engagement patterns. This could improve research, programme evaluation and nuanced assessment of individual patient engagement in HIV care.

Measuring patient engagement with HIV care in sub-Saharan Africa: a scoping study

INTRODUCTION

Engagement with HIV care is a multi-dimensional, dynamic process, critical to maintaining successful treatment outcomes. However, measures of engagement are not standardized nor comprehensive. This undermines our understanding of the scope of challenges with engagement and whether interventions have an impact, complicating patient and programme-level decision-making. This study identified and characterized measures of engagement to support more consistent and comprehensive evaluation.

METHODS

We conducted a scoping study to systematically categorize measures the health system could use to evaluate engagement with HIV care for those on antiretroviral treatment. Key terms were used to search literature databases (Embase, PsychINFO, Ovid Global-Health, PubMed, Scopus, CINAHL, Cochrane and the World Health Organization Index Medicus), Google Scholar and stakeholder-identified manuscripts, ultimately including English evidence published from sub-Saharan Africa from 2014 to 2021. Measures were extracted, organized, then reviewed with key stakeholders.

RESULTS AND DISCUSSION

We screened 14,885 titles/abstracts, included 118 full-texts and identified 110 measures of engagement, categorized into three engagement dimensions ("retention," "adherence" and "active self-management"), a combination category ("multi-dimensional engagement") and "treatment outcomes" category (e.g. viral load as an end-result reflecting that engagement occurred). Retention reflected status in care, continuity of attendance and visit timing. Adherence was assessed by a variety of measures categorized into primary (prescription not filled) and secondary measures (medication not taken as directed). Active self-management reflected involvement in care and self-management. Three overarching use cases were identified: research to make recommendations, routine monitoring for quality improvement and strategic decision-making and assessment of individual patients.

CONCLUSIONS

Heterogeneity in conceptualizing engagement with HIV care is reflected by the broad range of measures identified and the lack of consensus on "gold-standard" indicators. This review organized metrics into five categories based on the dimensions of engagement; further work could identify a standardized, minimum set of measures useful for comprehensive evaluation of engagement for different use cases. In the interim, measurement of engagement could be advanced through the assessment of multiple categories for a more thorough evaluation, conducting sensitivity analyses with commonly used measures for more comparable outputs and using longitudinal measures to evaluate engagement patterns. This could improve research, programme evaluation and nuanced assessment of individual patient engagement in HIV care.

Project ACCLAIM: Intervention Effect on Community Knowledge, Attitudes and Beliefs of Maternal and Child Health and HIV/AIDS in Eswatini, Uganda and Zimbabwe

The ACCLAIM Study aimed to assess the effect of a package of community interventions on the demand for, uptake of, and retention of HIV-positive pregnant/postpartum women in maternal and child health (MCH) and prevention of mother-to-child HIV transmission (PMTCT) services. The study occurred from 2013 to 2015 in Eswatini, Uganda, and Zimbabwe. The three interventions were: (1) a social learning and action component for community leaders, (2) community days, and (3) peer discussion groups. Household cross-sectional surveys on community members’ MCH and PMTCT knowledge, attitudes, and beliefs were analyzed pre- and post-intervention, using MCH, HIV stigma, and gender-equitable men (GEM) indicators. We used t-tests to measure the significance of mean pre- vs. post-intervention score changes stratified by gender within each intervention arm and generalized linear models to compare mean score changes of the cumulative intervention arms with the community leaders-only intervention. Response rates were over 85% for both surveys for men and women, with a total of 3337 pre-intervention and 3162 post-intervention responses. The combined package of three interventions demonstrated a significantly greater increase in MCH scores for both women (diff = 1.34, p ≤ 0.001) and men (diff = 2.03, p < 0.001). The arms that included interventions for both community leader engagement and community days (arms 2 and 3)led to a greater increase in mean GEM scores compared to the community leader engagement intervention alone (arm 1), for both women (diff = 1.32, p = 0.002) and men (diff = 1.37, p = 0.004). Our findings suggest that a package of community interventions may be most effective in increasing community MCH/HIV knowledge and improving gender-equitable norms.

Adherence predictor variables in AIDS patients: an empirical study using the data mining-based RFM model

Background

Highly active antiretroviral therapy (ART) is still the only effective method to stop the disease progression in acquired immunodeficiency syndrome (AIDS) patients. However, poor adherence to the therapy makes it ineffective. In this work, we construct an adherence prediction model of AIDS patients using the classical recency, frequency and monetary value (RFM) model in the data mining-based customer relationship management model to obtain adherence predictor variables.

Methods

We cleaned 257,305 diagnostic data elements of AIDS outpatients in Shanghai from August 2009 to December 2019 to obtain 16,440 elements. We tested the RFM and RFm (R: recent consultation month, F: consultation frequency, M/m: total/average medical costs per visit) models, three clustering methods (K-means, Kohonen and two-step clustering) and four decision algorithms (C5.0, the classification and regression tree, Chi-square Automatic Interaction Detector and Quick, Unbiased, Efficient, Statistical Tree) to select the optimal combination. The optimal model and clustering analysis were used to divide the patients into two groups (good and poor adherence), then the optimal decision algorithm was used to construct the prediction model of adherence and obtain its predictor variables.

Results

The results revealed that the RFm model, K-means clustering analysis and C5.0 algorithm were optimal. After three rounds of k-means clustering analysis, the optimal RFm clustering model quality was 0.8, 10,614 elements were obtained, including 9803 and 811 from patients with good or poor adherence, respectively, and five types of patients were identified. The prediction model had an accuracy of 100% with the recent consultation month as an important adherence predictor variable.

Conclusions

This work presented a prediction model for medication adherence in AIDS patients at the designated AIDS center in Shanghai, using the RFm model and the k-means and C5.0 algorithms. The model can be expanded to include patients from other centers in China and worldwide.

Effectiveness of interventions for adherence to antiretroviral therapy in adults with HIV: a systematic review

OBJECTIVE

To identify the best available evidence of intervention effectiveness for adherence to antiretroviral therapy for HIV in adults.

METHOD

The methodology proposed by the Cochrane Collaboration was used, with search in the databases: PubMed, Embase, LILACS, CINAHL, Web of Science and SCOPUS. Randomized clinical trials of interventions to promote adherence to antiretroviral therapy for HIV, in the ≥ 18-year-old population, published from 2010 onward, were considered. The eligibility, inclusion and extraction of results were developed by two independent researchers.

RESULTS

The five studies included in the quantitative analysis were effective interventions that developed educational actions with the patient, especially mediated by software, the use of medication schedule reminders and the inclusion of treatment supporters that also received educational actions to develop such role.

CONCLUSION

The combination of interventions strengthens the promotion of adherence. There is a need for investment in the implementation of educational actions with patients, such as the inclusion of supporters, in addition to counseling and electronic devices for reminders, which must be offered in the services in an articulated and continuous manner.

Assessing treatment outcomes among peer educators living with HIV in Kenya

BACKGROUND

People living with HIV (PLHIV) often face barriers in accessing quality and comprehensive HIV care, including stigma and discrimination, which results in poor retention and viral non-suppression. Peer-led interventions can help address these barriers. In Kenya, peer educators (PEs) are PLHIV who support other PLHIV to adhere to clinic schedules and antiretroviral medication uptake. In spite of their status as role models and their key role in supporting clients receiving HIV care and treatment, little is known about the characteristics and treatment outcomes of PEs themselves, specifically viral suppression.

METHODS

This is a retrospective descriptive analysis of program data on treatment outcomes of PEs engaged in active patient support activities between October 2010 and January 2017. All eligible PEs from 140 health facilities located in 23 counties of Kenya were included in the study. Data from 230 PEs were abstracted from the electronic medical records, patient files, and registers between June and August 2017. Study variables included key sociodemographic characteristics (sex, marital status, and age), duration on antiretroviral therapy (ART), WHO clinical staging, baseline CD4 count, current antiretroviral regimen and uptake of isoniazid preventive therapy (IPT). The outcome variable was viral suppression, defined as a viral load <1000 copies/ml.

RESULTS

Overall, 173/230 (75%) of the PEs were female, 144/230 (63%) were married, and median age (LQ, UQ) was 38.5 (33.0, 42.0) years. The PEs had been on ART for a median (LQ, UQ) duration of 76.0 (37.0, 105.0) months. Six months IPT completion was high at 97%. Of the 222 (97%) PEs with an up-to-date viral load taken within the last one year, 211 (95%) were virally suppressed.

CONCLUSION

Our study showed that peer educators actively engaged in patient support activities have achieved high viral suppression rates.

Resilience and HIV: a review of the definition and study of resilience

We use a socioecological model of health to define resilience, review the definition and study of resilience among persons living with human immunodeficiency virus (PLWH) in the existing peer-reviewed literature, and discuss the strengths and limitations of how resilience is defined and studied in HIV research. We conducted a review of resilience research for HIV-related behaviors/outcomes of antiretroviral therapy (ART) adherence, clinic attendance, CD4 cell count, viral load, viral suppression, and/or immune functioning among PLWH. We performed searches using PubMed, PsycINFO and Google Scholar databases. The initial search generated 14,296 articles across the three databases, but based on our screening of these articles and inclusion criteria, n = 54 articles were included for review. The majority of HIV resilience research defines resilience only at the individual (i.e., psychological) level or studies individual and limited interpersonal resilience (e.g., social support). Furthermore, the preponderance of HIV resilience research uses general measures of resilience; these measures have not been developed with or tailored to the needs of PLWH. Our review suggests that a socioecological model of health approach can more fully represent the construct of resilience. Furthermore, measures specific to PLWH that capture individual, interpersonal, and neighborhood resilience are needed.