Key result
Clinical screening tool fails to reliably identify non-adherence in patients with uncontrolled hypertension.
Why the study?
Chemical adherence testing is expensive and has limited availability, motivating the development of a clinical screening tool to identify patients with a low probability of non-adherence and reduce test use.
Can a clinical screening tool based on seven variables reliably identify non-adherence in patients with uncontrolled hypertension compared to chemical adherence testing?
Cross-Sectional (n=735)
Yes
Can a clinical screening tool based on seven variables reliably identify non-adherence in patients with uncontrolled hypertension compared to chemical adherence testing?
A clinical screening tool based on seven variables cannot reliably replace objective chemical adherence testing in patients with uncontrolled hypertension.
Clinical screening tools lack utility for non-adherence; leaves open need for reliable predictors beyond observational data in uncontrolled hypertension.
PURPOSE: Chemical adherence testing is a reliable method to assess adherence to antihypertensive drugs. However, it is expensive and has limited availability in clinical practice. To reduce the number and costs of chemical adherence tests, we aimed to develop and validate a clinical screening tool to identify patients with a low probability of non-adherence in patients with uncontrolled hypertension. MATERIALS AND METHODS: In 495 patients with uncontrolled hypertension referred to the University Medical Centre Utrecht (UMCU), the Netherlands, a penalised logistic regression model including seven pre-specified easy-to-measure clinical variables was derived to estimate the probability of non-adherence. Non-adherence was defined as not detecting at least one of the prescribed antihypertensive drugs in plasma or urine. Model performance and test characteristics were evaluated in 240 patients with uncontrolled hypertension referred to the Heartlands Hospital, United Kingdom. RESULTS: Prevalence of non-adherence to antihypertensive drugs was 19% in the UMCU and 44% in the Heartlands Hospital population. After recalibration of the model's intercept, predicted probabilities agreed well with observed frequencies. The c-statistic of the model was 0.63 (95%CI 0.53-0.72). Predicted probability cut-off values of 15%-22.5% prevented testing in 5%-15% of the patients, carrying sensitivities between 97% (64-100) and 90% (80-95), and negative predictive values between 74% (10-99) and 70% (50-85). CONCLUSION: The combination of seven clinical variables is not sufficient to reliably discriminate adherent from non-adherent individuals to safely reduce the number of chemical adherence tests. This emphasises the complex nature of non-adherence behaviour and thus the need for objective chemical adherence tests in patients with uncontrolled hypertension.
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Groenland et al. (2022) conducted a cross-sectional in Uncontrolled hypertension (n=735). Clinical screening tool for non-adherence vs. Chemical adherence testing (LC-MS/MS) was evaluated on Discriminative performance (c-statistic) of the clinical screening tool in the external validation cohort (c-statistic 0.63, 95% CI 0.53-0.72). A clinical screening tool based on seven variables demonstrated poor discriminative ability (c-statistic 0.63) and could not reliably identify non-adherence in patients with uncontrolled hypertension.
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