Item Response Theory and its Applications to Patient-Reported Outcomes Measurement

Chang, Chih Hung; Reeve, Bryce B.

doi:10.1177/0163278705278275

Cited by 116 publications

(90 citation statements)

References 29 publications

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“…Rasch analysis allows calibration of the items' difficulty and the subjects' abilities independently, but using the same measurement unit, the logit (log-odds) (6)(7) . For Rasch analysis to be carried out, the following presuppositions must be observed: the items should measure only one latent feature (unidimensionality) and the answer to one item must not be associated with the answer of another item (local independence) (8)(9)(10) .…”

Section: Discussionmentioning

confidence: 99%

Informatics competencies essential to decision making in nursing management

Jensen

Guedes

Leite

2016

Rev. esc. enferm. USP

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Objective:To identify informatics abilities essential to decision making in nursing management. Method: Survey study with specialist nurses in health informatics and management. An electronic questionnaire was built based on the competencies Information Literacy (five categories; 40 abilities) and Information Management (nine categories; 69 abilities) of the TIGER -Technology Informatics Guiding Education Reform -initiative, with the guiding question: Which informatics abilities are essential to decision making in management? Answers were sorted in a Likert scale, ranging from 1 to 5. Rasch analysis was conducted with the software WINSTEPS®. Results were presented in logits, with cutoff value zero. Results: Thirty-two specialists participated, coming from all regions of Brazil. In the information literacy competency, 18 abilities were considered essential and in Information Management, 38; these were sorted according to their degree of essentiality. Conclusion: It is believed that the incorporation of these abilities in teaching can support the education of nurse managers and contribute to evidence-based practice, incorporation of information and communication technologies in health and information management.

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Section: Discussionmentioning

confidence: 99%

Informatics competencies essential to decision making in nursing management

Jensen

Guedes

Leite

2016

Rev. esc. enferm. USP

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“…In this case, the item providing the highest discrimination could be kept to minimize the burden placed on respondents while preserving the measurement properties of the instrument itself. For each of the onedimensional subscales established using factor analyses, the location and discrimination parameters of each item were evaluated using Samejima's graded response model [10,19,48].…”

Section: Irt Modelmentioning

confidence: 99%

Development of a New Knee Society Scoring System

Noble

Scuderi

Brekke

et al. 2012

Clinical Orthopaedics &Amp; Related Research

297

225

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“…Traditionally, item response theory (IRT) models have been applied in educational testing to measure ability or proficiency and in psychological assessments to measure personality traits (8). Also, health outcome researchers have been employing IRT to questionnaire development, evaluation, and refinement (9).…”

Section: Introductionmentioning

confidence: 99%

Application of Item Response Theory to Modeling of Expanded Disability Status Scale in Multiple Sclerosis

Novakovic

Krekels

Munafo

et al. 2016

AAPS J

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ABSTRACT.In this study, we report the development of the first item response theory (IRT) model within a pharmacometrics framework to characterize the disease progression in multiple sclerosis (MS), as measured by Expanded Disability Status Score (EDSS). Data were collected quarterly from a 96-week phase III clinical study by a blinder rater, involving 104,206 item-level observations from 1319 patients with relapsing-remitting MS (RRMS), treated with placebo or cladribine. Observed scores for each EDSS item were modeled describing the probability of a given score as a function of patients' (unobserved) disability using a logistic model. Longitudinal data from placebo arms were used to describe the disease progression over time, and the model was then extended to cladribine arms to characterize the drug effect. Sensitivity with respect to patient disability was calculated as Fisher information for each EDSS item, which were ranked according to the amount of information they contained. The IRT model was able to describe baseline and longitudinal EDSS data on item and total level. The final model suggested that cladribine treatment significantly slows disease-progression rate, with a 20% decrease in disease-progression rate compared to placebo, irrespective of exposure, and effects an additional exposure-dependent reduction in disability progression. Four out of eight items contained 80% of information for the given range of disabilities. This study has illustrated that IRT modeling is specifically suitable for accurate quantification of disease status and description and prediction of disease progression in phase 3 studies on RRMS, by integrating EDSS item-level data in a meaningful manner.

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Item Response Theory and its Applications to Patient-Reported Outcomes Measurement

Cited by 116 publications

References 29 publications

Informatics competencies essential to decision making in nursing management

Informatics competencies essential to decision making in nursing management

Development of a New Knee Society Scoring System

Application of Item Response Theory to Modeling of Expanded Disability Status Scale in Multiple Sclerosis

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