Literature DB >> 15662296

Do individualized medication effectiveness tests (n-of-1 trials) change clinical decisions about which drugs to use for osteoarthritis and chronic pain?

C Jane Nikles1, Michael Yelland, Paul P Glasziou, Chris Del Mar.   

Abstract

To assess the impact of individualized medication effectiveness tests (IMETs, or n-of-1 trials), on patients' short-term decision making about medications for chronic pain. Survey evaluation of patients undergoing a double-blind, crossover comparison of drug versus placebo, drug versus drug, or drug versus drug combination using paracetamol and ibuprofen in 3 pairs of treatment periods, randomized within pairs. General practice patients (supplemented by a few from 2 tertiary pain clinics) with either chronic pain (> or =3 months), or osteoarthritis (with pain for > or =1 month) severe enough to warrant consideration of long-term nonsteroidal antiinflammatory drug (NSAID) use but for whom there was doubt about the efficacy of NSAID or alternative. Pain and stiffness in sites nominated by the patient, global pain, use of escape analgesia, and side effects. Of 116 IMETs started, 71 were completed. Drug management changed for 46 of 71 (65%). The most common change was to add paracetamol or to substitute the NSAID or COX-2 inhibitor with paracetamol (25 of 71 patients and 54% of changes). Of the 37 who were using NSAIDs or COX-2 inhibitors before the IMET, 12 (32%) ceased these afterward. Paracetamol was as effective or more effective than ibuprofen in 37 (68%) of the 54 IMETs directly comparing these drugs. IMETs provide useful information for clinical decisions. Paracetamol continues to be useful for patients with chronic pain whose optimal drug choice is in doubt. Our results provide a new (individual) perspective on the well-known recommendation for paracetamol as first-line treatment for chronic pain and demonstrate that it is feasible to provide IMETs nationally by mail and telephone.

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Year:  2005        PMID: 15662296     DOI: 10.1097/00045391-200501000-00012

Source DB:  PubMed          Journal:  Am J Ther        ISSN: 1075-2765            Impact factor:   2.688


  10 in total

1.  Patient preferences for personalized (N-of-1) trials: a conjoint analysis.

Authors:  Nathalie Moise; Dallas Wood; Ying Kuen K Cheung; Naihua Duan; Tara St Onge; Joan Duer-Hefele; Tiffany Pu; Karina W Davidson; Ian M Kronish
Journal:  J Clin Epidemiol       Date:  2018-05-30       Impact factor: 6.437

2.  Using N-of-1 trials to improve patient management and save costs.

Authors:  Paul A Scuffham; Jane Nikles; Geoffrey K Mitchell; Michael J Yelland; Norma Vine; Christopher J Poulos; Peter I Pillans; Guy Bashford; Chris del Mar; Philip J Schluter; Paul Glasziou
Journal:  J Gen Intern Med       Date:  2010-04-13       Impact factor: 5.128

3.  N-of-1 Randomized Intervention Trials in Health Psychology: A Systematic Review and Methodology Critique.

Authors:  Jonathan A Shaffer; Ian M Kronish; Louise Falzon; Ying Kuen Cheung; Karina W Davidson
Journal:  Ann Behav Med       Date:  2018-08-16

4.  The n-of-1 clinical trial: the ultimate strategy for individualizing medicine?

Authors:  Elizabeth O Lillie; Bradley Patay; Joel Diamant; Brian Issell; Eric J Topol; Nicholas J Schork
Journal:  Per Med       Date:  2011-03       Impact factor: 2.512

5.  What ever happened to N-of-1 trials? Insiders' perspectives and a look to the future.

Authors:  Richard L Kravitz; Naihua Duan; Edmund J Niedzinski; M Cameron Hay; Saskia K Subramanian; Thomas S Weisner
Journal:  Milbank Q       Date:  2008-12       Impact factor: 4.911

6.  Making sense of mobile health data: an open architecture to improve individual- and population-level health.

Authors:  Connie Chen; David Haddad; Joshua Selsky; Julia E Hoffman; Richard L Kravitz; Deborah E Estrin; Ida Sim
Journal:  J Med Internet Res       Date:  2012-08-09       Impact factor: 5.428

7.  Conducting research in individual patients: lessons learnt from two series of N-of-1 trials.

Authors:  Anke C M Wegman; Daniëlle A W M van der Windt; Wim A B Stalman; Theo P G M de Vries
Journal:  BMC Fam Pract       Date:  2006-09-19       Impact factor: 2.497

Review 8.  Individualisation of drug treatments for patients with long-term conditions: a review of concepts.

Authors:  S Denford; J Frost; P Dieppe; Chris Cooper; N Britten
Journal:  BMJ Open       Date:  2014-03-26       Impact factor: 2.692

9.  N-of-1 randomized trials for psychological and health behavior outcomes: a systematic review protocol.

Authors:  Jonathan A Shaffer; Louis Falzon; Ken Cheung; Karina W Davidson
Journal:  Syst Rev       Date:  2015-06-17

10.  Personal preferences for Personalised Trials among patients with chronic diseases: an empirical Bayesian analysis of a conjoint survey.

Authors:  Ying Kuen Cheung; Dallas Wood; Kangkang Zhang; Ty A Ridenour; Lilly Derby; Tara St Onge; Naihua Duan; Joan Duer-Hefele; Karina W Davidson; Ian Kronish; Nathalie Moise
Journal:  BMJ Open       Date:  2020-06-07       Impact factor: 2.692

  10 in total

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