Literature DB >> 19375521

Marketing therapeutic precision: Potential facilitators and barriers to adoption of n-of-1 trials.

Richard L Kravitz1, Debora A Paterniti, M Cameron Hay, Saskia Subramanian, Dionne Evans Dean, Thomas Weisner, Sunita Vohra, Naihua Duan.   

Abstract

BACKGROUND: N-of-1 trials may enhance therapeutic precision by predicting the long-term effectiveness of medical treatment on an individual basis. However, the n-of-1 approach has gained little traction with the clinical community. To learn why, we interviewed physicians and patients, focusing on the perceived benefits and drawbacks of n-of-1 trials and factors influencing these perceptions.
METHODS: We convened focus groups and individual interviews with 21 physicians and 32 patients, most with chronic conditions. The study employed qualitative interview methods to explore and analyze subjects' views of n-of-1 trials. Analysis involved an iterative process of review and data abstraction after specific topics for coding, definitions of codes, and strategies for abstraction had been established. Previously defined domains and topics were then expanded and enriched, with key themes emerging during the analytic process.
RESULTS: Physicians and patients remarked on 4 salient aspects of n-of-1 trials: scientific, relational, clinical, and logistical. Neither physicians nor patients were highly familiar with the n-of-1 concept, but both groups readily grasped the fundamental logic and appreciated the potential scientific benefits. Physicians saw n-of-1 trials as promoting an exciting but possibly threatening paradigm shift in the doctor-patient relationship, while patients viewed the relational consequences as modest. The best n-of-1 candidates were felt to be proactive, cognitively intact, reliable, motivated, and engaged in a trusting physician-patient relationship.
CONCLUSIONS: Researchers interested in expanding the appeal of n-of-1 trials will need to address these concerns by carefully explaining the approach, emphasizing the benefits, and minimizing the effort required of doctors and patients.

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Year:  2009        PMID: 19375521     DOI: 10.1016/j.cct.2009.04.001

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  22 in total

1.  The Ontology of Clinical Research (OCRe): an informatics foundation for the science of clinical research.

Authors:  Ida Sim; Samson W Tu; Simona Carini; Harold P Lehmann; Brad H Pollock; Mor Peleg; Knut M Wittkowski
Journal:  J Biomed Inform       Date:  2013-11-13       Impact factor: 6.317

2.  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

3.  N-of-1 Trials in Hypertension Are Feasible, but Are They Worthwhile?

Authors:  Richard L Kravitz
Journal:  J Gen Intern Med       Date:  2019-06       Impact factor: 5.128

4.  Optimizing behavioral health interventions with single-case designs: from development to dissemination.

Authors:  Jesse Dallery; Bethany R Raiff
Journal:  Transl Behav Med       Date:  2014-09       Impact factor: 3.046

5.  Increasing the Precision of Hypertension Treatment Through Personalized Trials: a Pilot Study.

Authors:  Ian M Kronish; Ying Kuen Cheung; Daichi Shimbo; Jacob Julian; Benjamin Gallagher; Faith Parsons; Karina W Davidson
Journal:  J Gen Intern Med       Date:  2019-03-11       Impact factor: 5.128

6.  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

Review 7.  N-of-1 trials to facilitate evidence-based deprescribing: Rationale and case study.

Authors:  Parag Goyal; Monika M Safford; Sarah N Hilmer; Michael A Steinman; Daniel D Matlock; Mathew S Maurer; Mark S Lachs; Ian M Kronish
Journal:  Br J Clin Pharmacol       Date:  2022-07-13       Impact factor: 3.716

Review 8.  Single-patient (n-of-1) trials: a pragmatic clinical decision methodology for patient-centered comparative effectiveness research.

Authors:  Naihua Duan; Richard L Kravitz; Christopher H Schmid
Journal:  J Clin Epidemiol       Date:  2013-08       Impact factor: 6.437

Review 9.  Personalized (N-of-1) Trials for Depression: A Systematic Review.

Authors:  Ian M Kronish; Meghan Hampsey; Louise Falzon; Beatrice Konrad; Karina W Davidson
Journal:  J Clin Psychopharmacol       Date:  2018-06       Impact factor: 3.153

10.  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

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