Literature DB >> 11590972

Use of the Medication Event Monitoring System to estimate medication compliance in patients with schizophrenia.

E Diaz1, H B Levine, M C Sullivan, M J Sernyak, K A Hawkins, J A Cramer, S W Woods.   

Abstract

OBJECTIVE: To determine the feasibility of using the Medication Event Monitoring System (MEMS) to estimate medication compliance in patients with schizophrenia or schizoaffective disorder. SUBJECTS AND
SETTING: Fourteen of 35 consecutive patients admitted to a psychiatric inpatient hospital with schizophrenia or schizoaffective disorder who met eligibility requirements and gave informed consent. INTERVENTION: After random assignment to either risperidone or typical antipsychotic treatment, medication upon discharge from hospital was dispensed in a bottle with a MEMS cap which recorded the number of bottle openings and the date and time of each opening. The first 6 patients were asked to return monthly for data downloading. The next 8 were asked to return weekly during the first month and every 2 weeks thereafter; they were also paid $5 for returning each bottle. OUTCOME MEASURES: MEMS data collected over a 6-month period and hospital readmission data.
RESULTS: Patient medication compliance data were collected from 10 (71%) of 14 patients during the first month, from 7 (58%) of 12 (2 patients dropped out) during the second and from 5 (45%) of 11 (a third patient dropped out) during months 3-6. Mean compliance rates were 63% for the first month and ranged from 56% to 45% over the next 5. First-month compliance rates were significantly lower for those who were subsequently readmitted to hospital (n = 7) than for those who were not (p < 0.01).
CONCLUSIONS: Electronic monitoring devices can be used to estimate compliance with medication regimens in patients with severe schizophrenic disorders, but there are methodological improvements that can be made to increase data recovery and compliance, and these are discussed.

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Year:  2001        PMID: 11590972      PMCID: PMC167186     

Source DB:  PubMed          Journal:  J Psychiatry Neurosci        ISSN: 1180-4882            Impact factor:   6.186


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