The Clinical Trials Mosaic: Toward a Range of Clinical Trials Designs to Optimize Evidence-Based Treatment

Objective: Dichotomizing clinical trials designs into nomothetic (e.g., randomized clinical trials or RCTs) versus idiographic (e.g., N-of-1 or case studies) precludes use of an array of hybrid designs and potential research questions between these extremes. This paper describes unique clinical evi...

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Main Authors: Ty A. Ridenour, Szu-Han K. Chen, Hsin-Yi Liu, Georgiy V. Bobashev, Katherine Hill, Rory Cooper
Format: Article
Language:English
Published: Lund University Library 2017-11-01
Series:Journal for Person-Oriented Research
Subjects:
Online Access:https://journals.lub.lu.se/jpor/article/view/20385
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spelling doaj-1417447aeea6436bb25dea39e42db9272020-11-25T01:31:12ZengLund University LibraryJournal for Person-Oriented Research2002-02442003-01772017-11-013110.17505/jpor.2017.03The Clinical Trials Mosaic: Toward a Range of Clinical Trials Designs to Optimize Evidence-Based TreatmentTy A. Ridenour0Szu-Han K. Chen1Hsin-Yi Liu2Georgiy V. Bobashev3Katherine Hill4Rory Cooper5Research Triangle Institute and University of PittsburghUniversity of PittsburghUniversity of PittsburghResearch Triangle InstituteDepartment of Veterans AffairsUniversity of Pittsburghand and Department of Veterans Affairs Objective: Dichotomizing clinical trials designs into nomothetic (e.g., randomized clinical trials or RCTs) versus idiographic (e.g., N-of-1 or case studies) precludes use of an array of hybrid designs and potential research questions between these extremes. This paper describes unique clinical evidence that can be garnered using idiographic clinical trials (ICTs) to complement RCT data. Proposed and illustrated herein is that innovative combinations of design features from RCTs and ICTs could provide clinicians with far more comprehensive information for testing treatments, conducting pragmatic trials, and making evidence-based clinical decisions. Method: Mixed model trajectory analysis and unified structural equations modeling were coupled with multiple baseline designs in (a) a true N-of-1 pilot study to improve severe autism-related communication deficits and (b) a small sample preliminary study of two complimentary interventions to relieve wheelchair discomfort. Results: Evidence supported certain mechanisms of treatment outcomes and ruled out others. Effect sizes included mean phase differences (i.e., effectiveness), trajectory slopes, and differences in path coefficients between study phases. Conclusions: ICTs can be analyzed with equivalent rigor as, and generate effect sizes comparable to, RCTs for the purpose of developing hybrid designs to augment RCTs for pilot testing innovative treatment, efficacy research on rare diseases or other small populations, quantifying within-person processes, and conducting clinical trials in many situations when RCTs are not feasible. https://journals.lub.lu.se/jpor/article/view/20385Clinical trialsStatistical analysistrajectoriesstructural equations modelingidiographicnomothetic
collection DOAJ
language English
format Article
sources DOAJ
author Ty A. Ridenour
Szu-Han K. Chen
Hsin-Yi Liu
Georgiy V. Bobashev
Katherine Hill
Rory Cooper
spellingShingle Ty A. Ridenour
Szu-Han K. Chen
Hsin-Yi Liu
Georgiy V. Bobashev
Katherine Hill
Rory Cooper
The Clinical Trials Mosaic: Toward a Range of Clinical Trials Designs to Optimize Evidence-Based Treatment
Journal for Person-Oriented Research
Clinical trials
Statistical analysis
trajectories
structural equations modeling
idiographic
nomothetic
author_facet Ty A. Ridenour
Szu-Han K. Chen
Hsin-Yi Liu
Georgiy V. Bobashev
Katherine Hill
Rory Cooper
author_sort Ty A. Ridenour
title The Clinical Trials Mosaic: Toward a Range of Clinical Trials Designs to Optimize Evidence-Based Treatment
title_short The Clinical Trials Mosaic: Toward a Range of Clinical Trials Designs to Optimize Evidence-Based Treatment
title_full The Clinical Trials Mosaic: Toward a Range of Clinical Trials Designs to Optimize Evidence-Based Treatment
title_fullStr The Clinical Trials Mosaic: Toward a Range of Clinical Trials Designs to Optimize Evidence-Based Treatment
title_full_unstemmed The Clinical Trials Mosaic: Toward a Range of Clinical Trials Designs to Optimize Evidence-Based Treatment
title_sort clinical trials mosaic: toward a range of clinical trials designs to optimize evidence-based treatment
publisher Lund University Library
series Journal for Person-Oriented Research
issn 2002-0244
2003-0177
publishDate 2017-11-01
description Objective: Dichotomizing clinical trials designs into nomothetic (e.g., randomized clinical trials or RCTs) versus idiographic (e.g., N-of-1 or case studies) precludes use of an array of hybrid designs and potential research questions between these extremes. This paper describes unique clinical evidence that can be garnered using idiographic clinical trials (ICTs) to complement RCT data. Proposed and illustrated herein is that innovative combinations of design features from RCTs and ICTs could provide clinicians with far more comprehensive information for testing treatments, conducting pragmatic trials, and making evidence-based clinical decisions. Method: Mixed model trajectory analysis and unified structural equations modeling were coupled with multiple baseline designs in (a) a true N-of-1 pilot study to improve severe autism-related communication deficits and (b) a small sample preliminary study of two complimentary interventions to relieve wheelchair discomfort. Results: Evidence supported certain mechanisms of treatment outcomes and ruled out others. Effect sizes included mean phase differences (i.e., effectiveness), trajectory slopes, and differences in path coefficients between study phases. Conclusions: ICTs can be analyzed with equivalent rigor as, and generate effect sizes comparable to, RCTs for the purpose of developing hybrid designs to augment RCTs for pilot testing innovative treatment, efficacy research on rare diseases or other small populations, quantifying within-person processes, and conducting clinical trials in many situations when RCTs are not feasible.
topic Clinical trials
Statistical analysis
trajectories
structural equations modeling
idiographic
nomothetic
url https://journals.lub.lu.se/jpor/article/view/20385
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