Literature DB >> 25404203

Understanding Patient Preferences in Medication Nonadherence: A Review of Stated Preference Data.

Tracey-Lea Laba1,2, Beverley Essue3,4, Merel Kimman3, Stephen Jan3,4.   

Abstract

Nonadherence is a global problem undermining the cost-effectiveness of evidence-based medications. Aligning treatment choices with patient preferences may promote adherent behaviour: eliciting patient treatment preferences may help resolve the problem of nonadherence. As there is no reliable measure of nonadherent behaviour that can be used to derive preferences, stated-preference techniques offer a robust alternative. To understand patient preferences in medication nonadherence, we systematically appraised full-text English studies (from database inception to 24 February 2014) involving participants evaluating hypothetical scenarios to elicit preferences as an explicit means to understand medication nonadherence. Study characteristics (e.g. setting, disease, stated-preference method), attribute type and influence on choice were extracted. Seventeen full-text articles (4,456 patients) were included in the review, which reports stated-preference elicitation studies across a wide range of chronic and acute conditions. All studies were conducted in high-income settings. The influence of drug-related factors was predominant in patients' preferences for treatment. Patients preferred efficacious over safe medications except when considering the duration of therapy, but dosing and cost appeared more important when contemplating adherence. Patient characteristics, particularly medication experience, significantly influenced preferences. A disparity between stated preferences for treatment and adherence was reported. When using stated-preference techniques to understand nonadherence, this manuscript highlights that there is much room for methodological development. Studies outside of high-income settings are needed, particularly in relation to chronic diseases, for which nonadherence poses a substantial economic burden to health systems and patients. To inform the problem of sustaining adherence, prospective research is needed to understand how preferences change with time. The usefulness of stated-preference techniques to inform policy and practice requires a better understanding of how stated preferences relate to actual adherence behaviour.

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Year:  2015        PMID: 25404203     DOI: 10.1007/s40271-014-0099-3

Source DB:  PubMed          Journal:  Patient        ISSN: 1178-1653            Impact factor:   3.883


  52 in total

1.  Conjoint Analysis Applications in Health - How are Studies being Designed and Reported?: An Update on Current Practice in the Published Literature between 2005 and 2008.

Authors:  Deborah Marshall; John F P Bridges; Brett Hauber; Ruthanne Cameron; Lauren Donnalley; Ken Fyie; F Reed Johnson
Journal:  Patient       Date:  2010-12-01       Impact factor: 3.883

Review 2.  Medication adherence and persistence: a comprehensive review.

Authors:  Kem P Krueger; Bruce A Berger; Bill Felkey
Journal:  Adv Ther       Date:  2005 Jul-Aug       Impact factor: 3.845

Review 3.  Medication adherence: a call for action.

Authors:  Hayden B Bosworth; Bradi B Granger; Phil Mendys; Ralph Brindis; Rebecca Burkholder; Susan M Czajkowski; Jodi G Daniel; Inger Ekman; Michael Ho; Mimi Johnson; Stephen E Kimmel; Larry Z Liu; John Musaus; William H Shrank; Elizabeth Whalley Buono; Karen Weiss; Christopher B Granger
Journal:  Am Heart J       Date:  2011-09       Impact factor: 4.749

4.  A willingness-to-pay assessment of parents' preference for shorter duration treatment of acute otitis media in children.

Authors:  Delphine Gueylard Chenevier; Jacques LeLorier
Journal:  Pharmacoeconomics       Date:  2005       Impact factor: 4.981

5.  Patient preferences for sensory attributes of intranasal corticosteroids and willingness to adhere to prescribed therapy for allergic rhinitis: a conjoint analysis.

Authors:  Parthiv J Mahadevia; Shailen Shah; Christopher Leibman; Leah Kleinman; Liza O'Dowd
Journal:  Ann Allergy Asthma Immunol       Date:  2004-10       Impact factor: 6.347

6.  Factors that affect adherence to bipolar disorder treatments: a stated-preference approach.

Authors:  F Reed Johnson; Semra Ozdemir; Ranjani Manjunath; A Brett Hauber; Steven P Burch; Thomas R Thompson
Journal:  Med Care       Date:  2007-06       Impact factor: 2.983

7.  Understanding rational non-adherence to medications. A discrete choice experiment in a community sample in Australia.

Authors:  Tracey-Lea Laba; Jo-Anne Brien; Stephen Jan
Journal:  BMC Fam Pract       Date:  2012-06-20       Impact factor: 2.497

8.  Patient preferences for reducing toxicities of treatments for gastrointestinal stromal tumor (GIST).

Authors:  A Brett Hauber; Juan Marcos Gonzalez; John Coombs; Andres Sirulnik; David Palacios; Norman Scherzer
Journal:  Patient Prefer Adherence       Date:  2011-06-24       Impact factor: 2.711

9.  Unintentional non-adherence to chronic prescription medications: how unintentional is it really?

Authors:  Abhijit S Gadkari; Colleen A McHorney
Journal:  BMC Health Serv Res       Date:  2012-06-14       Impact factor: 2.655

10.  Patient preferences for adherence to treatment for osteoarthritis: the MEdication Decisions in Osteoarthritis Study (MEDOS).

Authors:  Tracey-Lea Laba; Jo-anne Brien; Marlene Fransen; Stephen Jan
Journal:  BMC Musculoskelet Disord       Date:  2013-05-06       Impact factor: 2.362

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  11 in total

Review 1.  Encouraging adherence to long-term medication.

Authors:  Tim Usherwood
Journal:  Aust Prescr       Date:  2017-08-01

2.  Preferences for Multiple Sclerosis Treatments: Using a Discrete-Choice Experiment to Examine Differences Across Subgroups of US Patients.

Authors:  Carol Mansfield; Nina Thomas; David Gebben; Maria Lucas; A Brett Hauber
Journal:  Int J MS Care       Date:  2017 Jul-Aug

3.  A Framework for Instrument Development of a Choice Experiment: An Application to Type 2 Diabetes.

Authors:  Ellen M Janssen; Jodi B Segal; John F P Bridges
Journal:  Patient       Date:  2016-10       Impact factor: 3.883

4.  A survey of patient preferences for oral antihyperglycemic therapy in patients with type 2 diabetes mellitus.

Authors:  A Brett Hauber; Kaan Tunceli; Jui-Chen Yang; Ira Gantz; Kimberly G Brodovicz; Charles M Alexander; Michael J Davies; Larry Radican
Journal:  Diabetes Ther       Date:  2015-01-14       Impact factor: 2.945

5.  Patient satisfaction after switching from warfarin to apixaban in patients with nonvalvular atrial fibrillation: AGAIN study.

Authors:  Yukihiro Koretsune; Takanori Ikeda; Ken Kozuma; Teruyuki Hirano; Masahiro Yasaka; Makoto Kida; Motohiko Chachin; Miki Imura
Journal:  Patient Prefer Adherence       Date:  2017-12-15       Impact factor: 2.711

6.  Protocol for a randomised controlled trial evaluating the effects of providing essential medicines at no charge: the Carefully seLected and Easily Accessible at No Charge Medicines (CLEAN Meds) trial.

Authors:  Nav Persaud; Taehoon Lee; Haroon Ahmad; Winny Li; Michael Sergio Taglione; Yathavan Rajakulasingam; Norman Umali; Andrew Boozary; Richard H Glazier; Tara Gomes; Stephen W Hwang; Peter Jüni; Michael Law; Muhammad M Mamdani; Braden Manns; Danielle Martin; Steve Morgan; Paul Oh; Andrew David Pinto; Baiju R Shah; Frank M Sullivan; Kevin E Thorpe; Karen Tu; Andreas Laupacis
Journal:  BMJ Open       Date:  2017-06-12       Impact factor: 2.692

7.  Development and Pretesting of a Questionnaire to Assess Patient Experiences and Satisfaction with Medications (PESaM Questionnaire).

Authors:  Merel L Kimman; Adrienne H Rotteveel; Marlies Wijsenbeek; Rémy Mostard; Nelleke C Tak; Xana van Jaarsveld; Marjolein Storm; Kioa L Wijnsma; Marielle Gelens; Nicole C A J van de Kar; Jack Wetzels; Carmen D Dirksen
Journal:  Patient       Date:  2017-10       Impact factor: 3.883

8.  Patient Preferences for Biologic and Biosimilar Osteoporosis Treatments in Colombia.

Authors:  Peita L Graham-Clarke; Brett Hauber; Marco Boeri; Felice Leonardi; Russel T Burge; Maria Fernandez; Antje Tockhorn-Heidenreich; Sandra Florez
Journal:  Patient Prefer Adherence       Date:  2020-06-23       Impact factor: 2.711

9.  Validity of the Patient Experiences and Satisfaction with Medications (PESaM) Questionnaire.

Authors:  Merel L Kimman; Marlies S Wijsenbeek; Sander M J van Kuijk; Kioa L Wijnsma; Nicole C A J van de Kar; Marjolein Storm; Xana van Jaarsveld; Carmen D Dirksen
Journal:  Patient       Date:  2019-02       Impact factor: 3.883

10.  Smart About Meds (SAM): a pilot randomized controlled trial of a mobile application to improve medication adherence following hospital discharge.

Authors:  Bettina Habib; David Buckeridge; Melissa Bustillo; Santiago Nicolas Marquez; Manish Thakur; Thai Tran; Daniala L Weir; Robyn Tamblyn
Journal:  JAMIA Open       Date:  2021-07-31
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