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Objectives This analysis of screening and baseline data from an ongoing trial examined self-report versus automated adherence monitoring and assessed the relationship between bipolar disorder (BD) symptoms and adherence in 104 poorly adherent individuals. Methods Adherence was measured with the Tablets Routine Questionnaire (TRQ) and the Medication Event Monitoring System (MEMS). Symptoms were measured with the Montgomery-Åsberg Depression Rating Scale (MADRS), the Young Mania Rating Scale (YMRS), and the Brief Psychiatric Rating Scale (BPRS). Results The mean age of the sample was 46.3 years [standard deviation (SD) = 9.41 years], with 72% (n = 75) women and 71% (n = 74) African American subjects. Adherence improved from screening to baseline, with a mean missed drug proportion measured by TRQ of 61.43% (SD = 26.48%) versus a baseline mean of 46.61% (SD = 30.55%). The mean proportion of missed medication using MEMS at baseline was 66.43% (SD = 30.40%). The correlation between TRQ and MEMS was 0.47. The correlation between a single index drug and all BD medications was 0.95. Symptoms were generally positively correlated with TRQ (worse adherence = more severe symptoms), but in most instances was only at a trend level (p > 0.05), with the exception of the correlations between baseline TRQ and MADRS and BPRS, which were positive ( r = 0.20 and r = 0.21, respectively) and significant (p ≤ 0.05). Conclusions In patients with BD, monitoring increased adherence by 15%. MEMS identified 20% more non-adherence than self-report. Using a standard procedure to identify a single index drug for adherence monitoring may be one way to assess global adherence in patients with BD receiving polypharmacy treatment. Greater BD symptom severity may be a clinical indicator to assess for adherence problems. [ABSTRACT FROM AUTHOR]

Objective: As poor medication adherence is common in bipolar disorder (BD), technology-assisted approaches may help to monitor and enhance adherence. This study evaluated preliminary feasibility, patient satisfaction and effects on adherence, BD knowledge, and BD symptoms associated with the use of a multicomponent technology-assisted adherence enhancement system. Methods: This prospective study tested the system in five BD patients over a 15-day period. System components included: 1) an automated pill cap with remote monitoring sensor; 2) a multimedia adherence enhancement program; and 3) a treatment incentive program. This study evaluated system usability, patient satisfaction and effects on adherence (Morisky scale), knowledge (treatment knowledge test [TKT]), and symptoms (internal state scale [ISS]). Results: Mean age of the sample was 62 years, 4/5 (80%) Caucasian, and 4/5 (80%) single/divorced or widowed. Most participants (4/5, 80%) were on a single BD medication. Participants had BD for an average of 21 years. Challenges included attaching the pill sensor to standard pharmacy bottles for individuals using very large pill containers or those with multiday pill boxes. Three of five (60%) individuals completed the full 15-day period. Usability scores were high overall. Mean Morisky scores improved. Means on all four subscales of the ISS were all in the direction of improvement. On the TKT, there was a 40% increase in mean scores. Conclusion: A multicomponent technology-assisted BD adherence enhancement system is feasible. Challenges include accommodating multiple types of pill containers and monitoring multiple drugs simultaneously. The system can also generate adherence information that is potentially useful for treatment planning. [ABSTRACT FROM AUTHOR]