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Objective: To provide equipercentile equating of physical function (PF) scores from frequently used patient-reported outcome measures (PROMs) in cancer patients to facilitate data pooling and comparisons., Study Design and Setting: Adult cancer patients from five European countries completed the European Organization for Research and Treatment of Cancer (EORTC) computer adaptive test (CAT) Core, EORTC Quality of Life Questionnaire Version 3.0 (QLQ-C30), Functional Assessment of Cancer Therapy - General (FACT-G), 36-item Short Form Health Survey (SF-36), and the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function 20a short form. The R package "equate" was used to establish conversion tables of PF scores on those measures with a bivariate rank correlation of at least 0.75., Results: In total, 953 patients with cancer (mean age 58.9 years, 54.7% men) participated. Bivariate rank correlations between PF scores from the EORTC CAT Core, EORTC QLQ-C30, SF-36, and PROMIS were all above 0.85, but below 0.69 for the FACT-G. Conversion tables were established for all measures but the FACT-G. These tables indicate which score from one PROM best matches the score from another PROM and provide standard errors of converted scores., Conclusion: Our analysis indicates that linking of PF scores from both EORTC measures (CAT and QLQ-C30) with PROMIS and SF-36 is possible, whereas the physical domain of the FACT-G seems to be different. The established conversion tables may be used for comparing results or pooling data from clinical studies using different PROMs., Competing Interests: Declaration of competing interest David Cella reports to hold a compensated position as President of FACIT.org and an uncompensated position as President of the PROMIS Health Organization and member of its Board of Directors. Bernhard Holzner reports holding intellectual property rights on the software tool CHES. All other coauthors declared no conflicts of interest., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Objectives: Clinical practice guidelines recommend questionnaires with short recall. We compare responsiveness of ecological momentary assessments (EMAs) and retrospective assessments of thyroid-related quality of life., Study Design and Setting: Patients with newly diagnosed thyrotoxicosis completed retrospective Thyroid-related Patient-Reported Outcome measures (ThyPROs) with 4-week and 1-week recall, respectively, and three daily EMAs for 4 weeks at time of inclusion and again after treatment (N = 115). Magnitude of change and statistical power (F-test statistics) were compared. Two designs were applied to the same data: Design 1 mimicked the practical realities of clinical trials by comparing 4-week recall ThyPRO administered at time of inclusion with EMA initiated at time of inclusion and collected prospectively for 1 week, thus not covering the same time frame or duration. Design 2 compared assessments covering the same 4 weeks after inclusion., Results: Design 1: the estimated change and statistical power were significantly larger for 4-week ThyPRO compared with EMAs. Design 2: retrospective assessments and EMAs had comparable change and power. Repeated 1-week ThyPRO administrations increased the statistical power., Conclusion: Selecting the optimal time frame for evaluation proved crucial for responsiveness. EMAs did not provide higher responsiveness than retrospective measures in either design. Repeated 1-week ThyPRO administrations increased statistical power., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objective: The objective of this study was to establish thresholds for clinical importance (TCIs) for the five functioning and nine symptom scales of the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30)., Study Design and Setting: In this diagnostic study, cancer patients with mixed diagnoses and treatments completed the EORTC QLQ-C30 and anchored the questions in each domain in terms of their clinical importance. The anchor questions, concerned limitations in daily life, need for help/care, and the worries of the patient and his/her partner/family. These questions allowed categorizing patients into whether they exhibited a clinically important symptom/functional impairment for each scale and performing a receiver operating characteristic curve analysis to establish TCIs., Results: Data from 498 patients from six European countries (mean age 60.4 years, 55.2% women) were analyzed. For the TCIs generated using the patient questionnaire data, the EORTC QLQ-C30 scales showed sensitivity values between 0.71 and 0.97 and specificity values between 0.62 and 0.92 (area under the curve above 0.80 for all scales)., Conclusion: This EORTC Quality of Life Group study provides TCIs for the functioning and symptom scales of the EORTC QLQ-C30. These TCIs can increase the interpretability of the questionnaire results and foster its use in daily clinical practice and in clinical research., (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)

Objectives: The aim of this article was to establish thresholds for clinical importance (TCIs) for the European Organisation for Research and Treatment of Cancer (EORTC) Computer Adaptive Testing (CAT) Core measure, the new adaptive version of the EORTC QLQ-C30., Study Design and Setting: For our diagnostic study, we recruited cancer patients with mixed diagnoses and treatments from six European countries. Patients completed the EORTC CAT Core and a questionnaire with anchor items assessing criteria for clinical importance (limitations in everyday life, need for help/care, and worries by the patient/family/partner) for each EORTC CAT Core domain. We used a binary variable summarizing the anchor items for determining TCIs and for calculating the area under the curve (AUC) in receiving operator characteristic analysis as a measure of diagnostic accuracy., Results: Using data from 498 cancer patients (mean age 60.4 years, 55.2% women), we established TCIs for the 14 domains of the EORTC CAT Core. Median AUC across domains was 0.93 (range 0.84-0.94). Median sensitivity and specificity of the TCIs were 0.91 (range 0.80-0.96) and 0.77 (range 0.66-0.84), respectively. TCIs and AUCs were largely consistent across patient groups., Conclusion: We have generated TCIs for the 14 functional health and symptom domains of the EORTC CAT Core. The EORTC CAT Core showed high diagnostic accuracy in identifying clinically important symptoms and functional impairments., (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)

Objective: To improve measurement precision, the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group is developing an item bank for computerized adaptive testing (CAT) of emotional functioning (EF). The item bank will be within the conceptual framework of the widely used EORTC Quality of Life questionnaire (QLQ-C30)., Study Design and Setting: On the basis of literature search and evaluations by international samples of experts and cancer patients, 38 candidate items were developed. The psychometric properties of the items were evaluated in a large international sample of cancer patients. This included evaluations of dimensionality, item response theory (IRT) model fit, differential item functioning (DIF), and of measurement precision/statistical power., Results: Responses were obtained from 1,023 cancer patients from four countries. The evaluations showed that 24 items could be included in a unidimensional IRT model. DIF did not seem to have any significant impact on the estimation of EF. Evaluations indicated that the CAT measure may reduce sample size requirements by up to 50% compared to the QLQ-C30 EF scale without reducing power., Conclusion: On the basis of thorough psychometric evaluations, we have established an EF item bank of 24 items. This will allow for more precise and flexible measurement of EF, while maintaining backward compatibility with the QLQ-C30 EF scale., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Objective: To further evaluate the higher order measurement structure of the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Core 30 (QLQ-C30), with the aim of generating a summary score., Study Design and Setting: Using pretreatment QLQ-C30 data (N = 3,282), we conducted confirmatory factor analyses to test seven previously evaluated higher order models. We compared the summary score(s) derived from the best performing higher order model with the original QLQ-C30 scale scores, using tumor stage, performance status, and change over time (N = 244) as grouping variables., Results: Although all models showed acceptable fit, we continued in the interest of parsimony with known-groups validity and responsiveness analyses using a summary score derived from the single higher order factor model. The validity and responsiveness of this QLQ-C30 summary score was equal to, and in many cases superior to the original, underlying QLQ-C30 scale scores., Conclusion: Our results provide empirical support for a measurement model for the QLQ-C30 yielding a single summary score. The availability of this summary score can avoid problems with potential type I errors that arise because of multiple testing when making comparisons based on the 15 outcomes generated by this questionnaire and may reduce sample size requirements for health-related quality of life studies using the QLQ-C30 questionnaire when an overall summary score is a relevant primary outcome., (Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.)

Objectives: The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group is developing a computer-adaptive test (CAT) version of the EORTC Quality of Life Questionnaire (QLQ-C30). We evaluated the measurement properties of the CAT versions of physical functioning (PF) and fatigue (FA) and compared these with the corresponding QLQ-C30 scales., Study Design and Setting: Based on international samples of more than 1,000 cancer patients, we simulated CAT administration of varying numbers of items and compared the resulting scores with those based on all items in the respective item pools. Furthermore, the relative validity (RV) of CATs was compared with that of the QLQ-C30 scales using known groups validity., Results: For both dimensions, CATs of all lengths resulted in unbiased score estimates. CATs consisting of five or more items had reliability>0.90, correlated ≥ 0.97 with the full scale, and had root mean square error <0.25. The average RVs for these CATs ranged 1.02-1.33, indicating possible savings in sample size requirements of 3-42% using CAT., Conclusion: The CAT versions of PF and FA exhibited high levels of measurement precision and efficiency. The potential savings in sample size requirements using CATs compared with those using the original QLQ-C30 scales were typically 20% or more., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Objective: Differential item functioning (DIF) analyses are increasingly used to evaluate health-related quality of life (HRQoL) instruments, which often include relatively short subscales. Computer simulations were used to explore how various factors including scale length affect analysis of DIF by ordinal logistic regression., Study Design and Setting: Simulated data, representative of HRQoL scales with four-category items, were generated. The power and type I error rates of the DIF method were then investigated when, respectively, DIF was deliberately introduced and when no DIF was added. The sample size, scale length, floor effects (FEs) and significance level were varied., Results: When there was no DIF, type I error rates were close to 5%. Detecting moderate uniform DIF in a two-item scale required a sample size of 300 per group for adequate (>80%) power. For longer scales, a sample size of 200 was adequate. Considerably larger sample sizes were required to detect nonuniform DIF, when there were extreme FEs or when a reduced type I error rate was required., Conclusion: The impact of the number of items in the scale was relatively small. Ordinal logistic regression successfully detects DIF for HRQoL instruments with short scales. Sample size guidelines are provided.

Objective: To investigate whether geographic and cultural factors influence the relationship between the global health status quality of life (QL) scale score of the European Organisation for Research and Treatment of Cancer QLQ-C30 questionnaire and seven other subscales representing fatigue, pain, physical, role, emotional, cognitive, and social functioning., Study Design and Setting: A large international database of QLQ-C30 responses was assembled. A linear regression model was developed predicting the QL scale score and including interactions between geographical/cultural groupings and the seven other scale scores., Results: The pain subscale appeared to have relatively greater influence and fatigue relatively lower influence for those from other European regions compared with respondents from the UK when predicting overall quality of life (QoL). For Scandinavia physical functioning appeared to contribute relatively less. There was evidence of greater emphasis on cognitive functioning for those from South Asia and Latin America compared with the UK, whereas for those from Islamic countries, the role functioning scale appeared to have less influence and physical and social functioning more influence., Conclusion: These results provide evidence that different cultural groups may emphasize different aspects of their QoL. This has implications for studies using QoL questionnaires in international comparisons.

Background and Objective: The goal was to develop a shortened version of the EORTC QLQ-C30 for use in palliative care. We wanted to keep as few items as possible in each scale while still being able to compare results with studies using the original scales. We examined the possibilities of shortening the physical functioning, cognitive functioning, fatigue, and nausea and vomiting scales., Study Design and Setting: The shortening was based on 2,366 (physical functioning) and 10,815 (three other scales) observations, respectively. We used item response theory to construct scoring algorithms for predicting scores on the original scales., Results: Evaluations showed that a three-item physical scale, a two-item fatigue scale, and a one-item nausea or vomiting scale predicted the scores on the original scales with excellent agreement and had measurement abilities similar to the original scales with no loss or only a little loss in power to detect group differences. The results of the cognitive functioning scale indicated problems when predicting scores from a shortened version., Conclusion: Given the favorable results for the physical functioning, fatigue, and nausea or vomiting scales we expect that the shortened versions of these scales will be included in the abbreviated version of the EORTC QLQ-C30 for palliative care.

Background and Objectives: Most health-related quality-of-life questionnaires include multi-item scales. Scale scores are usually estimated as simple sums of the item scores. However, scoring procedures utilizing more information from the items might improve measurement abilities, and thereby reduce the needed sample sizes. We investigated whether item response theory (IRT)-based scoring improved the measurement abilities of the EORTC QLQ-C30 physical functioning, emotional functioning, and fatigue scales., Methods: Using a database of 13,010 subjects we estimated the relative validities of IRT scoring compared to sum scoring of the scales., Results: The mean relative validities were 1.04 (physical), 1.03 (emotional), and 0.97 (fatigue). None of these were significantly larger than 1. Thus, no gain in measurement abilities using IRT scoring was found for these scales. Possible explanations include that the items in the scales are not constructed for IRT scoring and that the scales are relatively short., Conclusion: IRT scoring of the three longest EORTC QLQ-C30 scales did not improve measurement abilities compared to the traditional sum scoring of the scales.

Breast cancer and its treatment have been associated with psychological morbidity. In this study our aim was to quantify the excess anxiety and depression resulting from breast cancer. We compared 538 newly diagnosed breast cancer patients at low risk of recurrence (87.0% responded) to 872 women randomly selected from the Danish general population (69.7% responded) using the Hospital Anxiety and Depression Scale (HADS). Contrary to expectations, the proportions classified as "cases" of anxiety and depression were not significantly different in the two groups. The breast cancer patients' mean HADS scores were significantly lower than those in the general population sample (anxiety, P = 0.021; depression, P < 0.001), indicating less anxiety and depression. However, we question the validity of this comparison. The HADS may not be suitable for use in the general population and there may be methodological problems in comparisons of groups whose life situations are very different.