Comparative Analysis of two Methods of Measuring Antiretroviral Therapy Adherence in HIV-Infected Omani Patients

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.

Monitoring adherence to antiretroviral therapy among adolescents in Southern Uganda: comparing Wisepill to Self-report in predicting viral suppression in a cluster-randomized trial

INTRODUCTION

Optimal antiretroviral therapy (ART) adherence is crucial for improved patient outcomes; however, ART adherence among adolescents living with HIV (ALHIV) is low. Also, the performance of various adherence measures among ALHIV is under contention. We monitored ART adherence and compared Self-report (SR) and Wisepill electronic monitoring (EM) performance in measuring ART adherence and predicting HIV viral suppression among ALHIV.

METHODS

Between January 2014 and December 2015, we recruited 702 ALHIV aged 10-16 years into our cluster-randomized controlled trial (2012-2018) in 39 clinics in Uganda. The intervention included a long-term savings child development account, four micro-enterprise workshops and 12 mentorship sessions. Using the entire sample, we performed multilevel logistic regression to predict monthly ART adherence trends for the first year of follow-up. Since it is possible that the intervention had different effects on SR and EM adherence, we used participants in the control arm only to compare adherence using SR and EM and to calculate their sensitivity and specificity in predicting viral suppression.

RESULTS

There was a significant decline in adherence for each month throughout the entire follow-up period regardless of the group assigned. Good ART adherence was measured at 79.2% (75.2-82.6%) and 97.0% (95.4-98.1%) using EM and SR, respectively. Overall, 64.3% (60.6-67.9%) had suppressed viral loads. The specificities for EM and SR in predicting viral non-suppression were 80.4% (73.6-85.7%) and 96.7% (93.3-98.4%), while the sensitivities were 22.9% (15.0-33.3%) and 1.8% (0.4-6.9%), respectively. The area under the curve was low for both EM and SR, at 53.6% (45.7-61.5%) and 56.2% (53.2-59.3%), respectively. There was high agreement (78%) between SR and EM in monitoring adherence.

CONCLUSIONS

Our findings highlighted the need for strategies for sustained optimal adherence. SR and EM measure adherence with a considerable agreement; however, neither is an accurate predictor of virological outcome. There is still a need for an acceptable, feasible and affordable method that predicts viral suppression among ALHIV.

Factors influencing adherence to antiretroviral therapy among HIV-infected adults in Cross River State, Nigeria: a cross-sectional study

Introduction

improved access to antiretroviral therapy (ART) has significantly increased the survival and quality of life of HIV-infected persons. Strict adherence to antiretroviral therapy (ART) is crucial if viral suppression must remain optimal. We assessed predictors of adherence to ART among adult patients in Cross River State (CRS), Nigeria.

Methods

a cross-sectional survey was conducted among 999 adult patients on ART in selected secondary and tertiary health facilities in CRS from January to June 2017. Respondents were recruited using multistage technique. Data were collected using a pre-tested interviewer-administered questionnaire. Adherence was defined as clients taking at least 95% of their pills in the last seven days. Multivariate analysis was performed to determine predictors of adherence at 5% level of significance.

Results

majority (70.5%) of the respondents were females with a mean age of 43.7 ± 11.1 years. The self-reported adherence rate was 60.1%. The commonest reasons for non-adherence was client travelling out of home, being busy, forgetting and lack of food. The significant predictor identified in this study was being on first-line drugs (OR=3.677, 95% C.I=2.523-5.358), were 3 times more likely to have good adherence. Predictors of poor-adherence were alcohol intake (OR=0.382, 95% C.I=0.262-0.559), dosing medications (OR=0.502, 95% C.I=0.381-0.661), CD4 cell count ≥ 500 (OR=0.723, 95% C.I=0.543-0.964), poor attitude to HIV status and medication (OR=0.713, 95% C.I=0.512-0.994) and family support (OR=0.736, 95% C.I=0.544-0.995).

Conclusion

adherence to ART among clients in this study was fair. Majority of the reasons for poor-adherence were client-related. There is need for targeted counselling to improve adherence.

Measuring adherence to ARVs among HIV-positive adolescents in Cameroon: a comparative assessment of self-report and medication possession ratio methods

Introduction

adherence to ARV medications has been shown to improve treatment outcomes in HIV positive patients. Given that ARV treatment is lifelong, adherence has become a critical issue as it may reduce over time. Measuring adherence is therefore imperative in programming. There are different methods of measuring adherence each with its advantages and disadvantages, depending on the context and the time. This study therefore compares two widely used adherence measurement scales in Cameroon, namely, the self-report and the medication possession ration (MPR) methods.

Methods

the study was done in some selected health facilities of the North West and South West regions of Cameroon among adolescents on ARV. The study was designed as an analytical cross-sectional study with a record review component and systematic random sampling was used to select the participants. Adherence was measured through self-report and the medication possession ratio. Adolescents with adherence levels of at least 95% were considered adherent. Viral load suppression was considered as having the most recent viral load suppression results of less than 1000 copies per ml. The kappa statistics of inter-rate agreement was used to ascertain the difference between adherence as measured by self-report and MPR. The difference in adherence between the two scales was also compared using Fischer´s exact test and p-values were reported.

Results

the study shows that adherence level using the self-report technique is 82.9% while that of MPR was 73.4%. When compared using the using Kappa statistics, there was substantial agreement between the two scales of 66% (p=0.54). The results of both self-report adherence and MPR were also compared with viral load suppression and the difference between viral load suppression and MPR was significant (p<0.01). The difference in adherence between viral load suppression and the self-report measure also showed to be significant (p<0.01).

Conclusion

adherence from the self-report measure was higher than from MPR, but there was substantial agreement between the scales. Although there is no gold standard for adherence measurement, self-report or medication possession ratio could be used and complemented with laboratory markers like viral load counts.

Predictors of attrition among adults in a rural HIV clinic in southern Mozambique: 18-year retrospective study

HIV remains a major cause of morbidity and mortality for people living in many low-income countries. With an HIV prevalence of 12.4% among people aged over 15 years, Mozambique was ranked in 2019 as one of eight countries with the highest HIV rates in the world. We analyzed routinely collected data from electronical medical records in HIV-infected patients aged 15 years or older and enrolled at Carmelo Hospital of Chokwe in Chokwe from 2002 to 2019. Attrition was defined as individuals who were either reported dead or lost to follow-up (LTFU) (≥ 90 days since the last clinic visit with missed medical pick-up after 3 days of failed calls). Kaplan–Meier survival curves and Cox regression analyses were used to model the incidence and predictors of time to attrition. From January 2002 to December 2019, 16,321 patients were enrolled on antiretroviral therapy (ART): 59.2% were women, and 37.9% were aged 25–34 years old. At the time of the analysis, 7279 (44.6%) were active and on ART. Overall, the 16,321 adults on ART contributed a total of 72,987 person-years of observation. The overall attrition rate was 9.46 per 100 person-years. Cox regression showed a higher risk of attrition in those following an inpatient regimen (hazard ratio [HR] 3.18, 95% confidence interval [CI] 2.89–3.50; p < 0.001), having CD4 counts under 50 cells/µL (HR 1.91, 95% CI 1.63–2.24, p < 0.001), receiving anti-TB treatment within 90 days of ART initiation (HR 6.53, 95% CI 5.72–7.45; p < 0.001), classified as WHO clinical stage III (HR 3.75, 95% CI 3.21–4.37; p < 0.001), and having Kaposi’s sarcoma (HR 1.99, 95% CI 1.65–2.39, p < 0.001). Kaplan–Meier analysis showed that patients with CD4 counts of less than 50 cells/µL on ART initiation had a 40% lower chance of survival at 18 years. Low CD4 cell counts, ART initiation as an inpatient, WHO clinical stage III, and anti-tuberculosis treatment within 90 days of ART initiation were strongly associated with attrition. Strengthening HIV testing and ART treatment, improving the diagnosis of tuberculosis before ART initiation, and guaranteed psychosocial support systems are the best tools to reduce patient attrition after starting ART.

Low-Level Viremia Predicts Virological Failure in HIV-Infected Omani Patients Receiving Antiretroviral Therapy

Background:

The implication and clinical significance of low-level viremia (LLV) in HIV patients are still not clear. This study aimed to characterize the clinical outcomes and to evaluate whether LLV could predict future virological failure in a well-defined cohort of HIV-infected Omani patients attending a large HIV clinic.

Methods:

Patients on regular antiretroviral therapy (ART) for at least 12 months, and had at least 2 HIV RNA measurements 1 year after starting ART, were prospectively enrolled in a cohort study. LLV was defined as plasma HIV RNA between 50-200 copies/mL that persists after at least 2 consecutive measurements after 12 months of ART. Multivariate Cox proportional hazards regression model was used to measure the association among virological failure, LLV and potential predictors.

Results:

After 12 months of starting ART, 60 patients (40%) had undetectable viral load (UVL) < 50 copies/mL, while 37 patients (24%) had LLV and 53 patients (35%) had primary virological failure > 200 copies/mL. The incidence rates of subsequent secondary virological failure for UVL and LLV groups, were 3 and 7 cases per 1000 patient-months, respectively. Compared to UVL group, LLV group had increased risk of subsequent secondary virological failure with hazard ratio of (4.437 [95% CI, 1.26-15.55]; p = 0.02). Age, duration of HIV infection, pretreatment HIV RNA level, pretreatment CD4⁺ cell count, and ART adherent were associated with subsequent secondary virological failure.

Conclusion:

Collectively, Omani HIV patients with LLV were at a higher risk for HIV virological failure, and should be monitored closely. Further studies are need to assess whether ART modification in LLV patients would lower the risk of virological failure.