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Drug attitude and other predictors of medication adherence in schizophrenia : 12 months of electronic monitoring (MEMS (R)) in the Swedish COAST-study

Brain, Cecilia, 1969 (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Allerby, Katarina, 1980 (author)
Sameby, Birgitta (author)
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Quinlan, Patrick (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Joas, Erik, 1983 (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Karilampi, Ulla (author)
Lindström, Eva (author)
Uppsala universitet,Psykiatri, Akademiska sjukhuset
Eberhard, Jonas (author)
Burns, Tom (author)
Waern, Margda, 1955 (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
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 (creator_code:org_t)
Elsevier BV, 2013
2013
English.
In: European Neuropsychopharmacology. - : Elsevier BV. - 0924-977X .- 1873-7862. ; 23:12, s. 1754-1762
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The aim was to investigate clinical predictors of adherence to antipsychotics. Medication use was electronically monitored with a Medication Event Monitoring System (MEMS (R)) for 12 months in 112 outpatients with schizophrenia and schizophrenia-like psychosis according to DSM-IV. Symptom burden, insight, psychosocial function (PSP) and side effects were rated at baseline. A comprehensive neuropsychological test battery was administered and a global composite score was calculated. The Drug Attitude Inventory (DAI-10) was filled in. A slightly modified DAI-10 version for informants was distributed as a postal questionnaire. Nonadherence (MEMS (R) adherence <= 0.80) was observed in 27%. In univariate regression models low scores on DAI-10 and DAI-10 informant, higher positive symptom burden, poor function, psychiatric side effects and lack of insight predicted non-adherence. No association was observed with global cognitive function. In multivariate regression models, low patient-rated DAI-10 and PSP scores emerged as predictors of non-adherence. A ROC analysis showed that DAI-10 had a moderate ability to correctly identify non-adherent patients (AUC=0.73, p<0.001). At the most "optimal" cut-off of 4, one-third of the adherent would falsely be. identified as non-adherent. A somewhat larger AUC (0.78, p<0.001) was observed when the ROC procedure was applied to the final regression model including DAI-10 and PSP. For the subgroup with informant data, the AUC for the DAI-10 informant version was 0.68 (p=0.021). Non-adherence cannot be properly predicted in the clinical setting on the basis of these instruments alone. The DAI-10 informant questionnaire needs further testing.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Psykiatri (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Psychiatry (hsv//eng)

Keyword

Adherence
Predictors
Schizophrenia
Antipsychotics
Medication Event Monitoring Systein
Drug Attitude Inventory
adherence
schizophrenia
antipsychotics
person-centred care

Publication and Content Type

ref (subject category)
art (subject category)

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