Literature DB >> 9493254

Contending paradigms for the interpretation of data on patient compliance with therapeutic drug regimens.

J Urquhart1, E De Klerk.   

Abstract

Electronic and chemical marker methods provide the first reliable measurements of drug exposure in ambulatory trials. These data contradict the usual claim in published drug trials of > 90% of patients having been satisfactorily compliant with the protocol-specified dosing regimen. Such exaggerated claims are based, usually, on count of returned dosing forms, which afford patients easy ability to manipulate by discarding or hoarding untaken doses. Electronic monitoring provides, for the first time, data on intervals between doses, revealing the 'drug holiday'--3 or more consecutive days without dosing--as a basis not only for lapsed therapeutic action, but as a pharmacodynamic trigger for hazardous rebound effects on recurrent first dose effects. Another new findings is the evident non-specificity of poor or partial compliance, the range and distributions of which appear to be hardly affected by drug, disease, prognosis, or symptoms. This finding contradicts often repeated but unsupported claims that noncompliance is a specific response to drug action, disease, prognosis or other treatment-related factors. New statistical methods are needed for trial design and analysis, to use drug exposure data as covariate information, to incorporate into drug labelling estimates of dose-related efficacy, holiday-related hazard, the limits of safe variation in dose-timing, and what one should best do when those limits are exceeded. Oral contraceptive labelling in the U.K. and U.S. is exemplar for this next step toward full-disclosure labelling.

Entities:  

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Year:  1998        PMID: 9493254     DOI: 10.1002/(sici)1097-0258(19980215)17:3<251::aid-sim762>3.0.co;2-a

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  18 in total

Review 1.  Accounting for noncompliance in pharmacoeconomic evaluations.

Authors:  D A Hughes; A Bagust; A Haycox; T Walley
Journal:  Pharmacoeconomics       Date:  2001       Impact factor: 4.981

Review 2.  Modeling and simulation of adherence: approaches and applications in therapeutics.

Authors:  Leslie A Kenna; Line Labbé; Jeffrey S Barrett; Marc Pfister
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

Review 3.  Pharmacokinetic-pharmacodynamic modelling: history and perspectives.

Authors:  Chantal Csajka; Davide Verotta
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-01-11       Impact factor: 2.745

4.  Pharmacokinetically based estimation of patient compliance with oral anticancer chemotherapies: in silico evaluation.

Authors:  Emilie Hénin; Michel Tod; Véronique Trillet-Lenoir; Catherine Rioufol; Brigitte Tranchand; Pascal Girard
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

5.  [Multicenter study of children's compliance to antibiotic treatment in primary care].

Authors:  C Silvestre Busto; E Ramalle-Gómara; R Arnáez García; A Flor-Serrano; J García-Fernández; H Ramil Pernas; M Notivol Tejero
Journal:  Aten Primaria       Date:  2001-05-15       Impact factor: 1.137

Review 6.  Pharmacoeconomic consequences of variable patient compliance with prescribed drug regimens.

Authors:  J Urquhart
Journal:  Pharmacoeconomics       Date:  1999-03       Impact factor: 4.981

Review 7.  Some economic consequences of noncompliance.

Authors:  J Urquhart
Journal:  Curr Hypertens Rep       Date:  2001-12       Impact factor: 5.369

8.  A non-linear mixed effect dynamic model incorporating prior exposure and adherence to treatment to describe long-term therapy outcome in HIV-patients.

Authors:  Line Labbé; Davide Verotta
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-06-20       Impact factor: 2.745

9.  Development of a dosing strategy for enoxaparin in obese patients.

Authors:  Bruce Green; Stephen B Duffull
Journal:  Br J Clin Pharmacol       Date:  2003-07       Impact factor: 4.335

Review 10.  Meta-analyses of Theory Use in Medication Adherence Intervention Research.

Authors:  Vicki S Conn; Maithe Enriquez; Todd M Ruppar; Keith C Chan
Journal:  Am J Health Behav       Date:  2016-03
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