OBJECTIVE: To validate six indirect methods of identifying patients who do not comply with their treatment with hypolipaemiant drugs. DESIGN: A prospective study. SETTING: Primary care centres in the province of Alicante. PATIENTS: 107 lipaemic patients, on the lists of 5 General Medical practices and on drugs treatment. MEASUREMENTS AND MAIN RESULTS: The most accurate way to assess compliance was the surprise counting of pills in patients' homes. Patients who had between 80 and 110% compliance were defined as compliant. The six indirect methods validated were: Communication of self-compliance (CS), Attendance at appointments (AA), Doctor's judgment (DJ), Information about the illness (II), the Morisky-Green test (MG) and the grade of control (GC). AA, DJ and CS were the methods with highest specificity (91.2%-89.5%). GC and II were the most sensitive (88%-82%). GC obtained the greatest negative predictive value (77.7%), and DJ the greatest positive predictive value (73.6%). The concordance index (kappa) ranged from 0.23 for GC and -0.002 for II. CONCLUSIONS: GC, DJ and CS are the methods with the best validity indicators and concordance. They could, therefore, be used together in clinical practice to identify patients not complying with their hypolipemiant treatment.
OBJECTIVE: To validate six indirect methods of identifying patients who do not comply with their treatment with hypolipaemiant drugs. DESIGN: A prospective study. SETTING: Primary care centres in the province of Alicante. PATIENTS: 107 lipaemic patients, on the lists of 5 General Medical practices and on drugs treatment. MEASUREMENTS AND MAIN RESULTS: The most accurate way to assess compliance was the surprise counting of pills in patients' homes. Patients who had between 80 and 110% compliance were defined as compliant. The six indirect methods validated were: Communication of self-compliance (CS), Attendance at appointments (AA), Doctor's judgment (DJ), Information about the illness (II), the Morisky-Green test (MG) and the grade of control (GC). AA, DJ and CS were the methods with highest specificity (91.2%-89.5%). GC and II were the most sensitive (88%-82%). GC obtained the greatest negative predictive value (77.7%), and DJ the greatest positive predictive value (73.6%). The concordance index (kappa) ranged from 0.23 for GC and -0.002 for II. CONCLUSIONS: GC, DJ and CS are the methods with the best validity indicators and concordance. They could, therefore, be used together in clinical practice to identify patients not complying with their hypolipemiant treatment.
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