An Introduction to Item Response Theory for Patient-Reported Outcome Measurement

Nguyen, Tam H.; Han, Hae Ra; Kim, Miyong T.; Chan, Kitty S.

doi:10.1007/s40271-013-0041-0

Cited by 268 publications

(328 citation statements)

References 45 publications

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“…There is thus an obvious need to develop effective and adequate methods to obtain more extensive PROM information that can be delivered to the registry. To meet this demand, SKaPa has initiated projects for further development of PROM in dentistry based on modern concepts of item response theory and the experience of PROMIS ® .…”

Section: Examples Of Data Output Related To the Objectives For Skapamentioning

confidence: 99%

Swedish Quality Registry for Caries and Periodontal Diseases – a framework for quality development in dentistry

Bültzingslöwen

Östholm

Gahnberg

et al. 2019

International Dental Journal

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Objectives There is a need for monitoring dental health and healthcare, as support for quality development, allocation of resources and long‐term planning of dental care. The aim of this paper is to describe the concept and implementation of the Swedish Quality Registry for Caries and Periodontal Diseases (SKaPa). Materials and methods: The SKaPa receives information by automatic transfer of data daily from electronic patient dental records via secure connections from affiliated dental care organisations (DCOs). The registry stores information about DCOs, dental professionals and patients. Information on a patient level includes personal identifier, gender, age, living area, dental status, risk assessments for caries and periodontitis, and dental care provided. In addition, data generated from a global question on patient‐perceived oral health are uploaded. In total, more than 400 variables are transferred to the registry and updated daily. Results: In 2018, all of the 21 public DCOs and the largest private DCO in Sweden were affiliated to SKaPa, representing a total of 1,089 public and 234 private dental clinics. The accumulated amount of information on dental healthcare covers 6.9 million individuals out of the total Swedish population of 10 million. SKaPa produces reports on de‐identified data, both cross‐sectional and longitudinal. Conclusion: As a nationwide registry based on automatic retrieval of data directly from patient records, SKaPa offers the basis for a new era of systematic evaluation of oral health and quality of dental care. The registry supports clinical and epidemiological research, data mining and external validation of results from randomised controlled trials

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Section: Examples Of Data Output Related To the Objectives For Skapamentioning

confidence: 99%

Swedish Quality Registry for Caries and Periodontal Diseases – a framework for quality development in dentistry

Bültzingslöwen

Östholm

Gahnberg

et al. 2019

International Dental Journal

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“…The key difference between the approaches is that CTT and IRT typically describe a set of data, whereas RMT aims to obtain data that fit the model. A fuller description of the three paradigms can be found elsewhere (CTT [6,[11][12][13], RMT [14][15][16][17][18][19], IRT [20][21][22][23][24]). In addition, Table 1 provides additional background and comparisons across the approaches.…”

Section: Introductionmentioning

confidence: 99%

Using Classical Test Theory, Item Response Theory, and Rasch Measurement Theory to Evaluate Patient-Reported Outcome Measures: A Comparison of Worked Examples

et al. 2015

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Selection of a psychometric approach depends on many factors. Researchers should justify their evaluation method and consider the intended audience. If the instrument is being developed for descriptive purposes and on a restricted budget, a cursory examination of the CTT-based psychometric properties may be all that is possible. In a high-stakes situation, such as the development of a patient-reported outcome instrument for consideration in pharmaceutical labeling, however, a thorough psychometric evaluation including IRT or RMT should be considered, with final item-level decisions made on the basis of both quantitative and qualitative results.

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“…The advantages that IRT and Rasch modeling confer over Classical Test Theory are well documented [20, 24, 25]. In particular, there are four key advantages to using these methods to construct and refine HL measures [26].…”

Section: Limitations Of Validation Methodsmentioning

confidence: 99%

The state of the science of health literacy measurement

Nguyen

McCormack

2017

ISU

Self Cite

101

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Abstract. Advancing health literacy (HL) research requires high-quality HL measures. This article provides an overview of the state of the science of HL measurement at the level of the individual: where the field started, currently is, and should be going. It is divided into eight key sections looking at (1) the history of HL measurement, (2) the relationship between HL definitions and measurement, (3) the HL conceptual domains most and least frequently measured, (4) the methods used to validate HL measures, (5) the characteristics of the participants in the measurement validation studies, (6) the practical considerations related to administering HL measures, (7) the advantages and disadvantages of using objective versus subjective HL measures, and (8) future directions for HL measurement.Based on the material presented in this article, the following conclusions can be drawn. First, there is an enormous proliferation of HL measures and this growth presents both opportunities and challenges for the field. Second, to move the field forward, there is an urgent need to better align HL measurement with definitions of HL. Third, some HL domains, such as numeracy, are measured more often than others, such as speaking and listening. Consequently, it is important to think about novel mechanisms to measure HL domains that are rarely measured. Fourth, HL measures are most often developed, validated, and refined using classical measurement approaches. However, strong empirical and practical rationales suggest making an assertive shift toward using modern measurement approaches. Fifth, most HL measures are not well validated for use in minority populations; consequently, future validation studies should be mindful of validation samples. Sixth, HL measures can be administered using multiple modes, most frequently via paper-and-pencil surveys. Identifying which mode of administration is most suitable requires reflecting on the underlying measurement purpose and the characteristics of the participants being measured. These considerations should also be made when deciding between a subjective versus objective HL measure.Cumulatively, this article provides tools to help readers select and use the most appropriate measures of HL for their needs. It also provides rationale and strategies for moving the science of HL measurement forward. Numerous scientific calls and proposals followed to develop and test HL measures in support of that recommendation [30]. Now, more than a decade later, over 150 HL measures exist, demonstrating a sweeping response to the scientific calls and reflecting tremendous productivity in this area [17,34,37]. This growth presents both opportunities and challenges for the field [26,42]. In one respect, each of

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An Introduction to Item Response Theory for Patient-Reported Outcome Measurement

Cited by 268 publications

References 45 publications

Swedish Quality Registry for Caries and Periodontal Diseases – a framework for quality development in dentistry

Swedish Quality Registry for Caries and Periodontal Diseases – a framework for quality development in dentistry

Using Classical Test Theory, Item Response Theory, and Rasch Measurement Theory to Evaluate Patient-Reported Outcome Measures: A Comparison of Worked Examples

The state of the science of health literacy measurement

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