The use of electronic monitoring (MEMS®) to evaluate antipsychotic compliance in outpatients with schizophrenia

Remington, Gary; Kwon, Jean; Collins, April; Laporte, Dan; Mann, Steve; Christensen, Bruce K.

doi:10.1016/j.schres.2006.11.015

Cited by 114 publications

(94 citation statements)

References 39 publications

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“…It is important to recognize that, while objective, most of these measures have drawbacks. MEMS, arguably the best objective measure of medication-taking behaviour, records package opening or device actuation, rather than actual medication-taking and the possibility of intentional dose dumping remains.MEMS, or MEMS-like devices, are also expensive and not readily available for some dose forms [21,[28][29][30]. While clinical outcomes are the ultimate aim of any intervention to improve adherence, the use of clinical outcomes as a proxy of adherence can be confounded by disease-specific factors independent of medication-taking behaviour.…”

Section: Introductionmentioning

confidence: 99%

What are validated self-report adherence scales really measuring?: a systematic review

Nguyen

Caze

Cottrell

2014

Br J Clin Pharmacol

337

304

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AIMSMedication non-adherence is a significant health problem. There are numerous methods for measuring adherence, but no single method performs well on all criteria. The purpose of this systematic review is to (i) identify self-report medication adherence scales that have been correlated with comparison measures of medication-taking behaviour, (ii) assess how these scales measure adherence and (iii) explore how these adherence scales have been validated. METHODSCinahl and PubMed databases were used to search articles written in English on the development or validation of medication adherence scales dating to August 2012. The search terms used were medication adherence, medication non-adherence, medication compliance and names of each scale. Data such as barriers identified and validation comparison measures were extracted and compared. RESULTSSixty articles were included in the review, which consisted of 43 adherence scales. Adherence scales include items that either elicit information regarding the patient's medication-taking behaviour and/or attempts to identify barriers to good medication-taking behaviour or beliefs associated with adherence. The validation strategies employed depended on whether the focus of the scale was to measure medication-taking behaviour or identify barriers or beliefs. CONCLUSIONSSupporting patients to be adherent requires information on their medication-taking behaviour, barriers to adherence and beliefs about medicines. Adherence scales have the potential to explore these aspects of adherence, but currently there has been a greater focus on measuring medication-taking behaviour. Selecting the 'right' adherence scale(s) requires consideration of what needs to be measured and how (and in whom) the scale has been validated.

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Section: Introductionmentioning

confidence: 99%

What are validated self-report adherence scales really measuring?: a systematic review

Nguyen

Caze

Cottrell

2014

Br J Clin Pharmacol

337

304

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“…[24] Remington et al (2007) found an association between higher non-adherence and longer length of illness. [32] On evaluating medication-related factors, this study found that there was a significant association between the complexity of medication schedule, side effects of drugs, ineffectiveness of medications on one hand and non-adherence on the other hand. Similarly, ineffectiveness of medication against psychotic or negative symptoms [31] and side effects [30,37,38] were identified as risk factor This sensation of ineffectiveness of antipsychotic drugs is due to their delayed onset of the therapeutic effects (while adverse effects appear earlier).…”

Section: Discussionmentioning

confidence: 93%

Prevalence and Risk Factors of Non-Adherence in Psychiatric Patients in Taif, Saudi Arabia

Alalyani¹

2017

WJPR

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Objectives: To estimate the prevalence of non-adherence to medication among and to explore the different reasons for drug non adherence among patient in mental health hospital in Taif city. Subjects and methods:It is a Cross-sectional descriptive study. The study included 255 patients who were following in Mental HealthHospital clinic. The total number was 255 patients, 233 patients were included in the study and 22 were excluded from the study according to eligibility criteria. The tool of the study was a self-administered questionnaire, which consists of three Parts: Demographic data, psychiatric diagnosis and reasons of not take the treatment. Result:Incidence of non-adherence was high (84.1%). The factors that increased the likelihood of non-adherence were absence of job, familial support and health education about medication use in addition to occurrence of side effects. Conclusion: The frequency of non-adherence is relatively high among the patients with psychiatric disorders in Taif city. Prevention strategies should focus on enhancing socioeconomic status (education and employment) and effective health education of patients to enable them to deal with adverse drug effects.

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“…In a study in which the adherence of schizophrenic outpatients was evaluated by various methods, the proportion of patients considered nonadherent was 3% in self-reports, but 24% and 25% in physician evaluation and pill counting, respectively, and 52% in an evaluation method in which an electronic device, the Electronic Medication Monitor (EMM), was used. These results clearly show that there was extreme inconsistency among the methods [15]. Of the adherence evaluation methods, self-rating scales are simple and have been shown to be useful, although overestimation and recall bias are likely to occur in self-evaluation [11].…”

Section: Introductionmentioning

confidence: 84%

Reliability and Validity of the Japanese Version of BEMIB Modified for Patients With Bipolar Disorder: a Self-rating Scale for Medication Adherence

Tokura

德倉

2012

CNPT

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Purpose: Accurate evaluation of medication adherence is important; however, no simple evaluation scale that is applicable to patients with bipolar disorder has been established in Japan. In this study, we prepared a modified Japanese version of a self-rating scale for medication adherence in the field of psychiatry, the Brief Evaluation of Medication Influences and Beliefs (BEMIB), and investigated its reliability and validity. Methods: Forty-one patients with bipolar disorder who visited several facilities, including Nagoya University Results:The Cronbach α coefficient of the Japanese version of BEMIB was 0.73. Four-week test-retest reliability coefficients of each item and the BEMIB total score were 0.39-0.68 (p < 0.05) and the intra-class correlation coefficient was 0.63 (95% CI = 0.33-0.75, p < 0.001). In addition, a significant positive correlation was observed between the BEMIB and DAI-10 total scores (Pearson's correlation coefficient = 0.39, p < 0.001), showing that the concurrent validity was sufficient. Discussion: The Japanese version of BEMIB modified for patients with bipolar disorder is sufficiently reliable and valid. We suggest that this simple evaluation scale of medication adherence in patients with bipolar disorder is applicable in routine medical practice.

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The use of electronic monitoring (MEMS®) to evaluate antipsychotic compliance in outpatients with schizophrenia

Cited by 114 publications

References 39 publications

What are validated self-report adherence scales really measuring?: a systematic review

What are validated self-report adherence scales really measuring?: a systematic review

Prevalence and Risk Factors of Non-Adherence in Psychiatric Patients in Taif, Saudi Arabia

Reliability and Validity of the Japanese Version of BEMIB Modified for Patients With Bipolar Disorder: a Self-rating Scale for Medication Adherence

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