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dc.contributor.authorGarrard, Lili ( )
dc.contributor.authorPrice, Larry R. ( Orcid Icon 0000-0001-6413-1286 )
dc.contributor.authorBott, Marjorie J. ( )
dc.contributor.authorGajewski, Byron J. ( )
dc.date.accessioned2020-03-24T19:48:41Z
dc.date.available2020-03-24T19:48:41Z
dc.date.issued2015-09
dc.identifier.citationGarrard, L., Price, L. R., Bott, M. J., & Gajewski, B. J. (2015). A novel method for expediting the development of patient-reported outcome measures and an evaluation of its performance via simulation. BMC Medical Research Methodology, 15, 77.en_US
dc.identifier.issn1471-2288
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/9505
dc.description.abstract

Background: Developing valid and reliable patient-reported outcome measures (PROMs) is a critical step in promoting patient-centered health care, a national priority in the U.S. Small populations or rare diseases often pose difficulties in developing PROMs using traditional methods due to small samples.

Methods: To overcome the small sample size challenge while maintaining psychometric soundness, we propose an innovative Ordinal Bayesian Instrument Development (OBID) method that seamlessly integrates expert and participant data in a Bayesian item response theory (IRT) with a probit link model framework. Prior distributions obtained from expert data are imposed on the IRT model parameters and are updated with participants’ data. The efficiency of OBID is evaluated by comparing its performance to classical instrument development performance using actual and simulation data.

Results and Discussion: The overall performance of OBID (i.e., more reliable parameter estimates, smaller mean squared errors (MSEs) and higher predictive validity) is superior to that of classical approaches when the sample size is small (e.g. less than 100 subjects). Although OBID may exhibit larger bias, it reduces the MSEs by decreasing variances. Results also closely align with recommendations in the current literature that six subject experts will be sufficient for establishing content validity evidence. However, in the presence of highly biased experts, three experts will be adequate.

Conclusions: This study successfully demonstrated that the OBID approach is more efficient than the classical approach when the sample size is small. OBID promises an efficient and reliable method for researchers and clinicians in future PROMs development for small populations or rare diseases.

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dc.formatText
dc.format.extent14 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.sourceBMC Medical Research Methodology, 2015, Vol. 15, Article 77.
dc.subjectPatient-Reported Outcome Measuresen_US
dc.subjectHealth careen_US
dc.titleA Novel Method for Expediting the Development of Patient-Reported Outcome Measures and an Evaluation of its Performance via Simulationen_US
txstate.documenttypeArticle
dc.identifier.doihttps://doi.org/10.1186/s12874-015-0071-5
dc.rights.license© 2015 Garrard et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
txstate.departmentCounseling, Leadership, Adult Education, and School Psychology


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