Elsevier

Surgery

Volume 163, Issue 1, January 2018, Pages 137-142
Surgery

Thyroid
Development of the ThyCAT: A clinically useful computerized adaptive test to assess quality of life in thyroid cancer survivors

https://doi.org/10.1016/j.surg.2017.09.009Get rights and content

Abstract

Background

Current quality of life assessment tools for thyroid cancer survivors are not clinically useful due to the length of available questionnaires. Computerized adaptive tests are easily administered electronically and can achieve highly accurate and efficient results in minimal time. We aimed to develop a quality of life computerized adaptive tests (ThyCAT) for thyroid cancer survivors.

Methods

A bifactor item response theory model was fit to questionnaire responses from 1,078 North American Thyroid Cancer Survivorship Study participants—a longitudinal cohort study of quality of life in thyroid cancer survivors. Tuning parameters were selected to maintain a correlation of r > 0.9 with the total item bank quality of life score obtained from the original North American Thyroid Cancer Survivorship Study questions, using a minimal number of adaptively administered ThyCAT items.

Results

The ThyCAT assesses quality of life with strong correlation (r = 0.96) with the original 75 North American Thyroid Cancer Survivorship Study questions using an average of 9.94 questions (SD ± 3.03) administered in <2 minutes. There was no statistically significant difference in the number of ThyCAT questions required based on demographic or tumor characteristics.

Conclusion

The ThyCAT can be administered on a smartphone app in <10 questions, and <2 minutes, allowing efficient and accurate in or out of clinic identification of patients struggling with quality of life issues after thyroid cancer treatment.

Section snippets

The bifactor model

Quality of life is a multidimensional phenomenon; the metric utilized in the NATCSS survey, for instance, samples quality of life items from physical, psychologic, social, and spiritual domains. Items sampled from the subdomains produce residual associations between items within the subdomains unaccounted for in the primary dimension (here, quality of life) on which most applications of item response theory and unidimensional models are based.14, 15 Bifactor item response theory models permit

Bifactor model

The fit of the bifactor model to the observed data is illustrated in Fig. Fig reveals strong agreement between the item-category proportions based on the model and the observed data (r = 0.963). Of the original 75 items in the QOL survey, 58 items were selected for the CAT item bank based on the 0.35 primary factor loading criterion (Table II). The items included in each subdomain are illustrated there as well, with the largest number of questions (N = 29) belonging to the physical subdomain,

Discussion

Although thyroid cancer prognoses are good (the 10-year survival for the predominant type, papillary, is as high as 97%), the initial findings of the NATCSS study point to long-term and late psychosocial effects after completion of primary treatment requiring coordinated follow-up.3 The surprise of these findings suggesting QoL comparable with cancers of much poorer prognosis4 illustrates how poorly understood long-term thyroid cancer survivorship currently is. This problem will continue to

Acknowledgments

Study data were collected and managed using REDCap electronic data capture tools hosted at The University of Chicago. REDCap (Research Electronic Data Capture) is a secure, Web-based application designed to support data capture for research studies, providing (1) an intuitive interface for validated data entry; (2) audit trails for tracking data manipulation and export procedures; (3) automated export procedures for seamless data downloads to common statistical packages; and (4) procedures for

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Supported by the National Institutes of Health for A New Statistical Paradigm for Measuring Psychopathology Dimensions in Youth (Grant #: 1R01MH100155-01).

Raymon H. Grogan, MD, was supported in part by the University of Chicago Bucksbaum Institute for Clinical Excellence.

Robert Gibbons, PhD, is a founder of Adaptive Testing Technologies, a company that distributes computerized adaptive tests. The terms of this arrangement have been reviewed and approved by the University of Chicago in accordance with its conflict of interest policies. The other authors reported no biomedical financial interests or potential conflicts of interest.

Presented at the 38th Annual Meeting of the American Association of Endocrine Surgeons, Orlando, FL, April 2–4, 2017.

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