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...
Main Authors: | , , , , , |
---|---|
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 |
id |
doaj-1417447aeea6436bb25dea39e42db927 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT tyaridenour theclinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment AT szuhankchen theclinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment AT hsinyiliu theclinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment AT georgiyvbobashev theclinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment AT katherinehill theclinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment AT rorycooper theclinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment AT tyaridenour clinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment AT szuhankchen clinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment AT hsinyiliu clinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment AT georgiyvbobashev clinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment AT katherinehill clinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment AT rorycooper clinicaltrialsmosaictowardarangeofclinicaltrialsdesignstooptimizeevidencebasedtreatment |
_version_ |
1725088117517451264 |