Literature DB >> 2373129

Dynamics of drug regimen compliance--its assessment by microprocessor-based monitoring.

W Kruse1, E Weber.   

Abstract

The utility of a new microprocessor-based method for continuous monitoring of compliance in taking solid medicaments has been evaluated. Medication intake in 31 ambulant patients was assessed in a prospective observational study under the conditions of routine practice. The patients (aged 14-87 y, mean 50 y) were receiving long-term drug treatment for various chronic diseases. There was marked interindividual and intraindividual variation in compliance with different drugs. Deviations from the prescribed dosage regimens were caused by omission of doses (22.7% of prescribed doses) and intake of extra doses (5.6% of prescribed doses). Continuous monitoring revealed that in 19% of the monitoring period no medication was taken, in 13% there was partial intake, and in 8% extra doses were taken. Patient-initiated drug holidays occurred in 50% of patients. They were responsible for 76% of the medication-free time. It is concluded, that continuous compliance monitoring is practicable in ambulatory patients. It provides information about the dynamics of drug intake behaviour that cannot be obtained from medical histories or from clinical or laboratory examination. The information could be used effectively in individual patient care and in clinical drug trials.

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Year:  1990        PMID: 2373129     DOI: 10.1007/bf00278582

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  16 in total

1.  Patient co-operation and the sensitivity of clinical trials.

Authors:  C R JOYCE
Journal:  J Chronic Dis       Date:  1962-11

2.  Adverse drug reactions and drug non-compliance as primary causes of admission to a cardiology department.

Authors:  F Davidsen; T Haghfelt; L F Gram; K Brøsen
Journal:  Eur J Clin Pharmacol       Date:  1988       Impact factor: 2.953

3.  Manipulation of the therapeutic regimen to improve compliance: conceptions and misconceptions.

Authors:  R B Haynes; D L Sackett; D W Taylor; R S Roberts; A L Johnson
Journal:  Clin Pharmacol Ther       Date:  1977-08       Impact factor: 6.875

4.  How often is medication taken as prescribed? A novel assessment technique.

Authors:  J A Cramer; R H Mattson; M L Prevey; R D Scheyer; V L Ouellette
Journal:  JAMA       Date:  1989-06-09       Impact factor: 56.272

5.  Monitoring compliance with pilocarpine therapy.

Authors:  S E Norell
Journal:  Am J Ophthalmol       Date:  1981-11       Impact factor: 5.258

6.  Drug-related problems causing admission to a medical clinic.

Authors:  U Bergman; B E Wiholm
Journal:  Eur J Clin Pharmacol       Date:  1981       Impact factor: 2.953

7.  Methods in assessing drug compliance.

Authors:  S E Norell
Journal:  Acta Med Scand Suppl       Date:  1984

8.  Adherence of elderly patients.to treatment with pentoxifylline.

Authors:  A Spriet; D Beiler; J Dechorgnat; P Simon
Journal:  Clin Pharmacol Ther       Date:  1980-01       Impact factor: 6.875

9.  Can readmissions to a geriatric medical unit be prevented?

Authors:  H Graham; B Livesley
Journal:  Lancet       Date:  1983-02-19       Impact factor: 79.321

10.  Determining optimal therapy--randomized trials in individual patients.

Authors:  G Guyatt; D Sackett; D W Taylor; J Chong; R Roberts; S Pugsley
Journal:  N Engl J Med       Date:  1986-04-03       Impact factor: 91.245

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  31 in total

1.  Compliance with tricyclic antidepressants: the value of four different methods of assessment.

Authors:  C F George; R C Peveler; S Heiliger; C Thompson
Journal:  Br J Clin Pharmacol       Date:  2000-08       Impact factor: 4.335

2.  The odds of the three nons when an aptly prescribed medicine isn't working: non-compliance, non-absorption, non-response.

Authors:  John Urquhart
Journal:  Br J Clin Pharmacol       Date:  2002-08       Impact factor: 4.335

Review 3.  Concordance of adherence measurement using self-reported adherence questionnaires and medication monitoring devices.

Authors:  Lizheng Shi; Jinan Liu; Yordanka Koleva; Vivian Fonseca; Anupama Kalsekar; Manjiri Pawaskar
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

4.  Application of a newly designed electronic monitoring device for press through packaging sheets in a clinical trial.

Authors:  Hiroshi Yamada; Shogo Sesoko; Takashi Daimon; Mitsuyoshi Nakashima
Journal:  Br J Clin Pharmacol       Date:  2006-02       Impact factor: 4.335

5.  Compliance-guided therapy : a new insight into the potential role of clinical pharmacologists.

Authors:  Alexia Blesius; Sylvie Chabaud; Michel Cucherat; Patrick Mismetti; Jean-Pierre Boissel; Patrice Nony
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

Review 6.  Assessing medication adherence in the elderly: which tools to use in clinical practice?

Authors:  Eric J MacLaughlin; Cynthia L Raehl; Angela K Treadway; Teresa L Sterling; Dennis P Zoller; Chester A Bond
Journal:  Drugs Aging       Date:  2005       Impact factor: 3.923

Review 7.  Causes and problems of nonresponse or poor response to drugs.

Authors:  P Salvà Lacombe; J A García Vicente; J Costa Pagès; P Lucio Morselli
Journal:  Drugs       Date:  1996-04       Impact factor: 9.546

Review 8.  The electronic medication event monitor. Lessons for pharmacotherapy.

Authors:  J Urquhart
Journal:  Clin Pharmacokinet       Date:  1997-05       Impact factor: 6.447

Review 9.  Deception in clinical trials and its impact on recruitment and adherence of study participants.

Authors:  Chuen Peng Lee; Tyson Holmes; Eric Neri; Clete A Kushida
Journal:  Contemp Clin Trials       Date:  2018-08-21       Impact factor: 2.226

10.  Effects of an enhanced secondary prevention program for patients with heart disease: a prospective randomized trial.

Authors:  Steven M Edworthy; Bonnie Baptie; Donna Galvin; Rollin F Brant; Terry Churchill-Smith; Dante Manyari; Israel Belenkie
Journal:  Can J Cardiol       Date:  2007-11       Impact factor: 5.223

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