Medication adherence assessment in a clinical trial with centralized follow-up and direct-to-patient drug shipments

Author:

Warren Stuart R12,Raisch Dennis W12,Campbell Heather M12,Guarino Peter D3,Kaufman James S45,Petrokaitis Elizabeth3,Goldfarb David S67,Gaziano J Michael89,Jamison Rex L1011,

Affiliation:

1. VA Cooperative Studies Program, Clinical Research Pharmacy Coordinating Center, Albuquerque, NM, USA

2. College of Pharmacy, University of New Mexico, Albuquerque, NM, USA

3. VA Cooperative Studies Program Coordinating Center, VA Connecticut Healthcare System, West Haven, CT, USA

4. Renal Section, VA Boston Healthcare System, Boston, MA, USA

5. Renal Section, Boston University School of Medicine, Boston, MA, USA

6. Nephrology Section, New York Harbor Healthcare System, New York, NY, USA

7. Nephrology Section, New York University School of Medicine, New York, NY, USA

8. Massachusetts Veteran’s Epidemiology Research and Information (MAVERIC), VA Boston Healthcare System, Boston, MA, USA

9. Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

10. Veterans Affairs (VA) Palo Alto Health Care System, Palo Alto, CA, USA

11. Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA

Abstract

Background Assessment of adherence to study medications is a common challenge in clinical research. Counting unused study medication is the predominant method by which adherence is assessed in outpatient clinical trials but it has limitations that include questionable validity and burdens on research personnel. Purpose To compare capsule counts, patient questionnaire responses, and plasma drug levels as methods of determining adherence in a clinical trial that had 2056 participants and used centralized drug distribution and patient follow-up. Methods Capsule counts from study medication bottles returned by participants and responses to questions regarding adherence during quarterly telephone interviews were averaged and compared. Both measures were compared to plasma drug levels obtained at the 3-month study visit of patients in the treatment group. Counts and questionnaire responses were converted to adherence rates (doses taken divided by days elapsed) and were categorized by stringent (≥85.7%) and liberal (≥71.4%) definitions. We calculated the prevalence-adjusted bias-adjusted kappa to assess agreement between the two measures. Results Using a pre-paid mailer, participants returned 76.0% of study medication bottles to the central pharmacy. Both capsule counts and questionnaire responses were available for 65.8% of participants and were used to assess adherence. Capsule counts identified more patients who were under-adherent (18.8% by the stringent definition and 7.5% by the liberal definition) than self-reports did (10.4% by the stringent definition and 2.1% by the liberal definition). The prevalence-adjusted bias-adjusted kappa was 0.58 (stringent) and 0.83 (liberal), indicating fair and very good agreement, respectively. Both measures were also in agreement with plasma drug levels determined at the 3-month visit (capsule counts: p = 0.005 for the stringent and p = 0.003 for the liberal definition; questionnaire: p = 0.002 for both adherence definitions). Limitations Inconsistent bottle returns and incomplete notations of medication start and stop dates resulted in missing data but exploratory missing data analyses showed no reason to believe that the missing data resulted in systematic bias. Conclusions Depending upon the definition of adherence, there was fair to very good agreement between questionnaire results and capsule counts among returned study bottles, confirmed by plasma drug levels. We conclude that a self-report of medication adherence is potentially comparable to capsule counts as a method of assessing adherence in a clinical trial, if a relatively low adherence threshold is acceptable, but adherence should be confirmed by other measures if a high adherence threshold is required.

Publisher

SAGE Publications

Subject

Pharmacology,General Medicine

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