Smith, D.;
Pagel, C.;
Utley, M.;
Gallivan, S.;
(2008)
Quantifying the impact of non-adherence to drug therapy: a technical note concerning an application of a branch and bound algorithm.
Health Care Management Science
, 11
(3)
pp. 302-305.
10.1007/s10729-007-9047-2.
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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 non-adherence 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.
| Type: | Article |
|---|---|
| Title: | Quantifying the impact of non-adherence to drug therapy: a technical note concerning an application of a branch and bound algorithm |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s10729-007-9047-2 |
| Publisher version: | http://dx.doi.org/10.1007/s10729-007-9047-2 |
| Language: | English |
| Additional information: | The original publication is available at www.springerlink.com |
| Keywords: | Pharmacy, stochastic modelling, computational algorithms, branch and bound methods |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics > Clinical Operational Research Unit |
| URI: | https://discovery.ucl.ac.uk/id/eprint/4960 |
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