Literature DB >> 18826007

A technical note concerning non-adherence to drug therapy: exact expressions for the mean and variance of drug concentration.

Steve Gallivan1, Christina Pagel, Martin Utley, Bryony Dean Franklin, Katja Taxis, Nick Barber.   

Abstract

There is considerable evidence that prescribed drugs are not taken as intended. We present a stochastic pharmacokinetic mathematical model that can be used to assess the implications of non-adherence to prescribed drug regimens, on the part of either patients or health professionals. In the context of an orally administered drug, explicit equations are derived for the time varying mean and variance of the concentration of the drug in the serum, depending on the probability of each scheduled administration being omitted. The analysis presented here can be used to assess whether a given level of non-adherence is likely to have a clinical impact. The methods used can easily be adapted for use in the context of other routes of drug administration.

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Year:  2008        PMID: 18826007     DOI: 10.1007/s10729-007-9046-3

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  11 in total

1.  Daily regimen and compliance with treatment.

Authors:  B S Bloom
Journal:  BMJ       Date:  2001-09-22

2.  Medication errors during hospital drug rounds.

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3.  Modelling the association between adherence and viral load in HIV-infected patients.

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5.  Hospital drug distribution systems in the UK and Germany--a study of medication errors.

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6.  Comparison of medication errors in an American and a British hospital.

Authors:  B S Dean; E L Allan; N D Barber; K N Barker
Journal:  Am J Health Syst Pharm       Date:  1995-11-15       Impact factor: 2.637

7.  The effects of initial drug choice and comorbidity on antihypertensive therapy compliance: results from a population-based study in the elderly.

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Journal:  Am J Hypertens       Date:  1997-07       Impact factor: 2.689

8.  Quantifying the impact of non-adherence to drug therapy: a technical note concerning an application of a branch and bound algorithm.

Authors:  Daniel Smith; Christina Pagel; Martin Utley; Steve Gallivan
Journal:  Health Care Manag Sci       Date:  2008-09

9.  A Markov mixed effect regression model for drug compliance.

Authors:  P Girard; T F Blaschke; H Kastrissios; L B Sheiner
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10.  The impact of patient compliance on drug concentration profile in multiple doses.

Authors:  W Wang; F Husan; S C Chow
Journal:  Stat Med       Date:  1996-03-30       Impact factor: 2.373

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3.  Quantifying the impact of non-adherence to drug therapy: a technical note concerning an application of a branch and bound algorithm.

Authors:  Daniel Smith; Christina Pagel; Martin Utley; Steve Gallivan
Journal:  Health Care Manag Sci       Date:  2008-09

4.  Are patients more adherent to newer drugs?

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  4 in total

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