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. Author manuscript; available in PMC: 2019 Aug 28.
Published in final edited form as: AIDS. 2005 Aug 12;19(12):1243–1249. doi: 10.1097/01.aids.0000180094.04652.3b

Table 1.

Summary of methods for assessing adherence.

Method Advantages Disadvantages Direction of potential bias Comments
Physician’s assessment Simple
Cheap
Requires no structured tool
Subjective
Inaccurate
Adherence estimates may affect/be affected by physician-patient relationship
No particular bias De facto manner in which adherence is usually assessed
Inaccurate both for predicting adherence and non-adherence [31-33]
One study noted that physicians correctly rated their patients’ adherence 40% of the time [3]
Patient self-report Simple
Cheap
Allows qualitative assessment of adherence
Subjective
Inaccurate
Accuracy can be affected by: poor patient recall, failure to recognize mistimed doses, dose missed over holidays/weekends as non-adherence, lack of patient candor
Overestimates adherence Currently the most widely-used adherence measure
More accurate for predicting non-adherence than high adherence [20] Encompasses a variety of techniques, including unstructured interviews, visual analog scales, and standardized questionnaires
One study found that patients recalled only 41% of documented visits, while 28% recalled visits that never occurred [34]
One study found that of patients who denied missing any protease inhibitor doses, 50% had undetectable levels [35]
Pill counts Simple
Cheap
Objective
Accuracy can be affected by: throwing away remaining pills prior to seeing provider (pill dumping), inability to confirm who took pills, no information on timing of doses Overestimates adherence Frequently used in research alone or in combination with to patient self-report
Pharmacy refill records Objective Requires that patients bring in bottles
Accuracy can be affected by: inability to confirm who took pills, inability to confirm timing of doses taken
Requires capacity to maintain records and track patients over time
Overestimates adherence Evidence has linked high refill rates with improved outcomes [36]

Frequently used in research in addition to patient self-report
Drug level monitoring Objective Expensive
Technically difficult (requires laboratory, testing capacity)
Invasive (requires blood draws)
Accuracy can be affected by: limited time frame of test effectiveness (3–4 days), inability to confirm timing of doses taken
Requires baseline PK profile of population under study for accurate interpretation of results
Can overestimate or underestimate depending on: patient behavior immediately preceding test genetic variations in drug metabolism One study found that patients with low ratios of observed to predicted concentrations of efavirenz were less likely to have UDVL [37]
Electronic drug monitoring Objective
Provides data on timing of doses taken
Permits monitoring over long periods
Expensive
Requires training, computer, operator, and specialized pill bottles
Intrusive (patients may resent being monitored)
Accuracy can be affected by: inability to confirm who took pills
Incompatible with pill trays
Underestimates adherence (patients may take out multiple doses at a time for later use) EDM more accurately predicts UDVL than self-report or pill count [19]

UDVL, Undetectable viral load; PK, Pharmacokinetic; EDM, electronic drug monitor.