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Quantifying the impact of non-adherence to drug therapy: a technical note concerning an application of a branch and bound algorithm.
Smith, Daniel; Pagel, Christina; Utley, Martin; Gallivan, Steve.
Afiliação
  • Smith D; Clinical Operational Research Unit, University College London, Gower Street, London WC1E 6BT, UK.
Health Care Manag Sci ; 11(3): 302-5, 2008 Sep.
Article em En | MEDLINE | ID: mdl-18826008
ABSTRACT
Pharmacokinetic models typically rely on a key assumption that patients take their medication as prescribed, whereas this is often not the case. We present a branch and bound algorithm that can be used to estimate the time-varying probability that, given a specified pattern of nonadherence to a prescribed regimen, a patient receives no therapeutic benefit from treatment. Use of this algorithm is a much faster method for obtaining this probability than exhaustive computation of the relevant probability distribution. The use of this algorithm to assess, in quantitative terms, the impact of non-adherence on the effectiveness of treatment provides a rational basis for evaluating the potential harm to patients.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Preparações Farmacêuticas / Recusa do Paciente ao Tratamento Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2008 Tipo de documento: Article
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Preparações Farmacêuticas / Recusa do Paciente ao Tratamento Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2008 Tipo de documento: Article