A Framework for Quantifying the Influence of Adherence and Dose Individualization

被引:13
作者
Assawasuwannakit, P. [1 ,2 ]
Braund, R. [1 ]
Duffull, S. B. [1 ]
机构
[1] Univ Otago, Sch Pharm, Dunedin, New Zealand
[2] Mahidol Univ, Fac Trop Med, Mahidol Oxford Trop Med Res Unit, Bangkok, Thailand
关键词
PATIENT ADHERENCE; ANTICOAGULATION; MODEL; RISK; INTERVENTIONS; ATORVASTATIN; FORGIVENESS; WARFARIN; REGIMENS; THERAPY;
D O I
10.1002/cpt.268
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
A failure to accommodate for a patient's imperfect adherence may result in therapeutic failure. Similarly, failure to accommodate a patient's individual needs via dose individualization may also result in poor patient outcomes. The property of a drug that signifies the likelihood of therapeutic success to imperfect adherence is termed "forgiveness." We introduce an extension to this concept as: (1) a priori forgiveness (forgiveness when dose individualization is not considered) and (2) a posteriori forgiveness (forgiveness when considering dose individualization). We illustrate cases when adherence is of primary importance and in which dose individualization is of primary importance. The concept of a priori forgiveness and a posteriori forgiveness provides a quantitative measure that allows the influence of adherence to be disentangled from dose individualization and could be used to provide clear guidelines about the relative importance of each in clinical practice.
引用
收藏
页码:452 / 459
页数:8
相关论文
共 30 条
[1]   Achieving and maintaining national cholesterol education program low-density lipoprotein cholesterol goals with five statins [J].
Andrews, TC ;
Ballantyne, CM ;
Hsia, JA ;
Kramer, JH .
AMERICAN JOURNAL OF MEDICINE, 2001, 111 (03) :185-191
[2]   Quantification of the Forgiveness of Drugs to Imperfect Adherence [J].
Assawasuwannakit, P. ;
Braund, R. ;
Duffull, S. B. .
CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2015, 4 (03) :204-211
[3]  
Blackshear JL, 1996, LANCET, V348, P633
[4]   Adherence to Medications: Insights Arising from Studies on the Unreliable Link Between Prescribed and Actual Drug Dosing Histories [J].
Blaschke, Terrence F. ;
Osterberg, Lars ;
Vrijens, Bernard ;
Urquhart, John .
ANNUAL REVIEW OF PHARMACOLOGY AND TOXICOLOGY, VOL 52, 2012, 52 :275-+
[5]   Using pharmacokinetic-pharmacodynamic relationships to predict the effect of poor compliance [J].
Boissel, JP ;
Nony, P .
CLINICAL PHARMACOKINETICS, 2002, 41 (01) :1-6
[6]   Identification and Assessment of Adherence-Enhancing Interventions in Studies Assessing Medication Adherence Through Electronically Compiled Drug Dosing Histories: A Systematic Literature Review and Meta-Analysis [J].
Demonceau, Jenny ;
Ruppar, Todd ;
Kristanto, Paulus ;
Hughes, Dyfrig A. ;
Fargher, Emily ;
Kardas, Przemyslaw ;
De Geest, Sabina ;
Dobbels, Fabienne ;
Lewek, Pawel ;
Urquhart, John ;
Vrijens, Bernard .
DRUGS, 2013, 73 (06) :545-562
[7]   Pharmacokinetic analysis to assess forgiveness of boosted saquinavir regimens for missed or late dosing [J].
Dickinson, Laura ;
Boffito, Marta ;
Khoo, Saye H. ;
Schutz, Malte ;
Aarons, Leon J. ;
Pozniak, Anton L. ;
Back, David J. .
JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 2008, 62 (01) :161-167
[8]   Predicting "real world" effectiveness by integrating adherence with pharmacodynamic modeling [J].
Hughes, DA ;
Walley, T .
CLINICAL PHARMACOLOGY & THERAPEUTICS, 2003, 74 (01) :1-8
[9]  
Jacobsen W, 2000, DRUG METAB DISPOS, V28, P1369
[10]   A Population Pharmacokinetic-Pharmacodynamic Model for Simvastatin that Predicts Low-Density Lipoprotein-Cholesterol Reduction in Patients with Primary Hyperlipidaemia [J].
Kim, Jimyon ;
Ahn, Byung-Jin ;
Chae, Hong-Seok ;
Han, Seunghoon ;
Doh, Kichan ;
Choi, Jeongeun ;
Jun, Yong K. ;
Lee, Yong W. ;
Yim, Dong-Seok .
BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2011, 109 (03) :156-163