ArticleAIDS care2017
Co-calibration of two self-reported measures of adherence to antiretroviral therapy.
Article in AIDS care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The trial behind it
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Who cites it
8 citing papers in PubMed.
- Patient Self-Reported Adherence to Ritonavir-Boosted Darunavir Combined With Either Raltegravir or Tenofovir Disoproxil Fumarate/Emtricitabine in the NEAT001/ANRS143 Trial.Journal of acquired immune deficiency syndromes (1999) · 2018Trial
- Trial
- The Impact of Childhood Household Violence on HIV-Related Outcomes in People With HIV in the United States: The Role of Psychological Distress and Social Stressors.Journal of acquired immune deficiency syndromes (1999) · 2026Article
- AAdvances in neural information processing systems · 2025Article
- Using Bayesian item response theory for multicohort repeated measure design to estimate individual latent change scores.Psychological methods · 2025Article
- Linking Symptom Inventories Using Semantic Textual Similarity.Journal of neurotrauma · 2025Article
- Short Communication: Bioequivalence of Tenofovir Component of Tenofovir/Rilpivirine/Emtricitabine in Digital Pills.AIDS research and human retroviruses · 2019Article
- The PROSPER-HIV Study: A Research Protocol to Examine Relationships Among Physical Activity, Diet Intake, and Symptoms in Adults Living With HIV.The Journal of the Association of Nurses in AIDS Care : JANACObservational
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Authors and funding
18 authors.
Funding
Abstract
Adherence to antiretroviral therapy (ART) is an important determinant of clinical success assessed in many HIV studies. Harmonizing adherence data from studies that use different measures is difficult without a co-calibration equation to convert between validated instruments. Our purpose was to co-calibrate two commonly used adherence measures: the AIDS Clinical Trials Group (ACTG) questionnaire and the Visual Analog Scale (VAS). We used robust linear regression to develop a co-calibration equation in a clinical care cohort. The outcome was the 30-day VAS percentage of ART taken and the predictors were ACTG questions. We evaluated the equation's goodness of fit in five STTR (Seek, Test, Treat, Retain) consortium studies where individuals completed both measures: 2 criminal justice; 2 international; and 1 other high-risk vulnerable population. We developed a three-phase decision rule to convert ACTG to VAS in 1045 participants. First, when the last missed dose on the ACTG was reported as >30 days ago, the VAS was set to 100% (N = 582). Second, if "doses missed" was zero for all items, VAS was 100% (N = 104). Third, among remaining participants (N = 359), VAS was estimated as 96.8% minus 2.9% times the number of missed doses ("doses per day" was non-significant). Correlation between predicted and reported VAS was r = 0.80 in the criminal justice group (N = 446), r = 0.46 in the international group (N = 311), r = 0.32 in the other vulnerable population (N = 63), and r = 0.66 overall. When outliers due to inversion of the VAS scale were excluded (n = 25), these correlations were 0.88, 0.78, 0.80, and 0.86, respectively. We concluded that a simple decision rule and equation allowed us to co-calibrate between two widely used adherence measures thus combining data from studies with different instruments. This study highlighted issues with VAS inversions and its limitations as a single item. Combining studies using different instrument facilitates larger pooled datasets to address key research questions.
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