The European Organisation for Research and Treatment of Cancer Quality of Life Utility-Core 10 Dimensions: Development and Investigation of General Population Utility Norms for Canada, France, Germany, Italy, Poland, and the United Kingdom.

OBJECTIVES: The European Organisation for Research and Treatment of Cancer Quality of Life Utility-Core 10 Dimensions (EORTC QLU-C10D) is a cancer-specific preference-based measure, providing health utilities for use in economic evaluations derived from the widely used health-related quality of life measure, EORTC QLQ-C30. Several EORTC QLU-C10D country-specific value sets are available. This article aimed to provide EORTC QLU-C10D general population utility norms for Canada, France, Germany, Italy, Poland, and the United Kingdom, to aid interpretability of obtained utilities in these countries. METHODS: Data were collected in aforementioned countries via a quota-sampled, cross-sectional online survey (n = 100/age-sex group; N = approximately 1000/country). Participants were asked to complete the EORTC QLQ-C30 and provide sociodemographic data. Country-specific utility norms were calculated using the respective country tariff on the country's EORTC QLQ-C30 data after weighting to achieve population representativeness for age and sex. Norm values are provided as means (SDs) by country, age, and sex groups. Tukey's multiple comparison test investigated mean differences among countries. The impact of country, age, and sex on utility values was investigated with a multiple linear regression model. RESULTS: Country-specific mean utilities range from 0.724 (United Kingdom) to 0.843 (Italy). Country-, sex-, and age-specific mean utilities range from 0.664 for 30- to 39-year-old male Canadians to 0.899 for > 70-year-old male Italians. Utilities were lower in females in 4 of 6 countries, and the impact of age differed among countries. Independent of the impact of age and sex, between-country differences were found (P ≤ .05). CONCLUSION: Results showed a varying impact of age and sex on EORTC QLU-C10D utilities and significant between-country differences. Using national utility norms and utility decrements is recommended.

EORTC QLQ-C30 general population normative data for Italy by sex, age and health condition: an analysis of 1,036 individuals.

BACKGROUND: General population normative values for the widely used health-related quality of life (HRQoL) measure, European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire - Core 30 (EORTC QLQ-C30), are available for a range of countries. These are mostly countries in northern Europe. However, there is still a lack of such normative values for southern Europe. Therefore, this study aims to provide sex-, age- and health condition-specific normative values for the general Italian population for the EORTC QLQ-C30. MATERIAL AND METHODS: This study is based on Italian EORTC QLQ-C30 general population data previously collected in an international EORTC project comprising over 15,000 respondents across 15 countries. Recruitment and assessment were carried out via online panels. Quota sampling was used for sex and age groups (18|-|39, 40-49, 50-59, 60-69 and ≥ 70 years), separately for each country. We applied weights to match the age and sex distribution in our sample with UN statistics for Italy. Along with descriptive statistics, linear regression models were estimated to describe the associations of sex, age and health condition with the EORTC QLQ-C30 scores. RESULTS: A total of 1,036 respondents from Italy were included in our analyses. The weighted mean age was 49.3 years, and 536 (51.7%) participants were female. Having at least one health condition was reported by 60.7% of the participants. Men reported better scores than women on all EORTC QLQ-C30 scales but diarrhoea. While the impact of age differed across scales, older age was overall associated with better HRQoL as shown by the summary score. For all scales, differences were in favour of participants who did not report any health condition, compared to those who reported at least one. CONCLUSION: The Italian normative values for the EORTC QLQ-C30 scales support the interpretation of HRQoL profiles in Italian cancer populations. The strong impact of health conditions on EORTC QLQ-C30 scores highlights the importance of adjusting for the impact of comorbidities in cancer patients when interpreting HRQoL data.

Minimally important differences for the EORTC QLQ-C30 in prostate cancer clinical trials.

BACKGROUND: The aim of the study was to estimate the minimally important difference (MID) for interpreting group-level change over time, both within a group and between groups, for the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30) scores in patients with prostate cancer. METHODS: We used data from two published EORTC trials. Clinical anchors were selected by strength of correlations with QLQ-C30 scales. In addition, clinicians' input was obtained with regard to plausibility of the selected anchors. The mean change method was applied for interpreting change over time within a group of patients and linear regression models were fitted to estimate MIDs for between-group differences in change over time. Distribution-based estimates were also evaluated. RESULTS: Two clinical anchors were eligible for MID estimation; performance status and the CTCAE diarrhoea domain. MIDs were developed for 7 scales (physical functioning, role functioning, social functioning, pain, fatigue, global quality of life, diarrhoea) and varied by scale and direction (improvement vs deterioration). Within-group MIDs ranged from 4 to 14 points for improvement and - 13 to - 5 points for deterioration and MIDs for between-group differences in change scores ranged from 3 to 13 for improvement and - 10 to - 5 for deterioration. CONCLUSIONS: Our findings aid the meaningful interpretation of changes on a set of EORTC QLQ-C30 scale scores over time, both within and between groups, and for performing more accurate sample size calculations for clinical trials in prostate cancer.

Past and Current Practice of Patient-Reported Outcome Measurement in Randomized Cancer Clinical Trials: A Systematic Review.

OBJECTIVES: In our systematic review, we assessed past and current practice of patient-reported outcome (PRO) measurement in cancer randomized, controlled trials (RCTs). METHODS: We included RCTs with PRO endpoints evaluating conventional medical treatments, conducted in patients with the most prevalent solid tumor types (breast, lung, colorectal, prostate, bladder, and gynecological cancers) and either published in 2004 to 2018 or registered on clinicaltrials.gov and initiated in 2014 to 2019. Frequency of use of individual PRO measures was assessed overall, over time, and by cancer site. RESULTS: Screening of 42 095 database records and 3425 registered trials identified 480 published and 537 registered trials meeting inclusion criteria. Among published trials, the European Organisation for Research and Treatment of Cancer (EORTC) measures were used most often (54.8% of trials), followed by the Functional Assessment of Chronic Illness Therapy (FACIT) measures (35.8%), the EQ-5D (10.2%), the SF-36 (7.3%), and the MD Anderson Symptom Inventory (MDASI; 2.5%). Among registered trials, the EORTC measures were used in 66.1% of the trials, followed by the FACIT measures (25.9%), the EQ-5D (23.1%), the SF-36 (4.8%), the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE; 2.2%), the Patient-Reported Outcomes Measurement Information System (PROMIS) measures (1.7%), and the MDASI measures (1.1%). CONCLUSION: The PRO measures most frequently used in RCTs identified in our review differ substantially in terms of content and domains, reflecting the ongoing debate among the scientific community, healthcare providers, and regulators on the type of PRO to be measured. Current findings may contribute to better informing the development of an internationally agreed core outcome set for future cancer trials.

Dutch utility weights for the EORTC cancer-specific utility instrument: the Dutch EORTC QLU-C10D.

PURPOSE: To measure utilities among cancer patients, a cancer-specific utility instrument called the European Organization for Research and Treatment of Cancer (EORTC) QLU-C10D has been developed based on EORTC quality of life core module (QLQ-C30). This study aimed to provide Dutch utility weights for the QLU-C10D. METHODS: A cross-sectional valuation study was performed in 1017 participants representative in age and gender of the Dutch general population. The valuation method was a discrete choice experiment containing 960 choice sets, i.e. pairs of QLU-C10D health states, each health state described in terms of the 10 QLU-C10D domains and the duration of that health state. Each participant considered 16 choice sets, choosing their preferred health state from each pair. Utility scores were derived using generalized estimation equation models. Non-monotonic levels were combined. RESULTS: Utility decrements were generated for all 10 QLU-C10D domains, with largest decrements for pain (- 0.242), physical functioning (- 0.228), and role functioning (- 0.149). Non-monotonic levels of emotional functioning, pain, fatigue, sleep problems, and appetite loss were combined. No decrement in utility was seen in case of a little or quite a bit impairment in emotional functioning or a little pain. The mean QLU-C10D utility score of the participants was 0.85 (median = 0.91, interquartile range = 0.82 to 0.96). CONCLUSION: Dutch utility decrements were generated for the QLU-C10D. These are important for evaluating the cost-utility of new cancer treatments and supportive care interventions. Further insight is warranted into the added value of the QLU-C10D alongside other utility instruments.

The EORTC Quality of Life Questionnaire for cancer patients (QLQ-C30): Australian general population reference values.

OBJECTIVES: To generate Australian general population reference values for the EORTC Quality of Life Questionnaire for cancer patients (QLQ-C30); to compare Australian values with published EORTC general population reference values, and to explore associations between socio-demographic and health characteristics and QLQ-C30 subscale scores. DESIGN: Analysis of responses to cross-sectional, online survey (QLQ-C30), March 2015 - February 2016, and supplementary health-related and socio-demographic questions. SETTING, PARTICIPANTS: 1979 people quota-sampled from a national online survey panel to be representative of the Australian general population by age and sex. MAIN OUTCOME MEASURES: Mean QLQ-C30 subscale scores, adjusted for socio-demographic characteristics and comorbid conditions, by sex and age group. RESULTS: Data for 1821 participants were analysed (92% completion rate); 924 (50.7%) were women. Higher psychological distress was associated with worse outcomes on all QLQ-C30 subscales. Better self-reported general health was associated with better global quality of life and better functioning (except cognitive functioning), and less fatigue, pain, dyspnoea and insomnia. Having arthritis or rheumatism was associated with poorer global quality of life, and poorer physical, role and social functioning, and with more fatigue, pain, insomnia, diarrhoea, and financial difficulties. Although differences between Australian QLQ-C30 subscale scores and EORTC general population values were clinically trivial, the Australian values are more accurate benchmarks for QLQ-C30 results from Australians with cancer. CONCLUSIONS: Our Australian QLQ-C30 reference values provide normative benchmarks that facilitate interpretation of data for Australians with cancer in terms of burden of disease and its treatment. In survivorship studies and studies without pre-disease baseline data, comparisons with reference values can indicate the extent to which people have returned to better levels of health.

German value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30.

PURPOSE: The EORTC QLU-C10D is a new multi-attribute utility instrument derived from the EORTC QLQ-C30, a widely used cancer-specific quality of life questionnaire. It covers ten dimensions: physical, role, social, emotional functioning, pain, fatigue, sleep, appetite, nausea, and bowel problems. To allow national health attitudes to be reflected, country-specific valuations are being performed by collaboration of the Multi-Attribute Utility Cancer (MAUCa) Consortium and the EORTC. The purpose of this paper is to provide German value sets (utility weights) for the QLU-C10D. METHODS: Valuations were run in a web-based setting in two general population samples of approximately 2000 adults in total. As the German version of the QLQ-C30 is presently undergoing a revision of the wording of one response category, valuations for both the current and the new version were performed (Germany 1 and 2). Utilities were elicited using a discrete choice experiment (DCE). Data were analyzed by conditional logistic regression and mixed logits. RESULTS: Completion rates were 88.3% (1002/1135) and 90.4% (1016/1124) for Germany 1 and Germany 2 valuations, respectively. Dimensions with the largest impact on utility weights were, in this order: physical functioning, pain, role functioning, social functioning and nausea (same ordering for both German versions). Several violations of the logical ordering of levels were observed for Germany 1; this was largely improved for Germany 2. CONCLUSION: This study established German utility weights for the cancer-specific utility instrument QLU-C10D.

Following patient pathways to psycho-oncological treatment: Identification of treatment needs by clinical staff and electronic screening.

OBJECTIVE: In this retrospective investigation of patient pathways to psycho-oncological treatment (POT), we compared the number of POT referrals before and after implementation of electronic screening for POT needs and investigated psychosocial predictors for POT wish at a nuclear medicine department. METHODS: We extracted medical chart information about number of referrals and extent of follow-up contacts. During standard referral (November 2014 to October 2015), POT needs were identified by clinical staff only. In the screening-assisted referral period (November 2015 to October 2016), identification was supported by electronic screening for POT needs. Psychosocial predictors for POT wish were examined using logistic regression. RESULTS: We analysed data from 487 patients during standard referral (mean age 56.4 years; 60.2% female, 88.7% thyroid carcinoma or neuroendocrine tumours) of which 28 patients (5.7%) were referred for POT. Of 502 patients in the screening-assisted referral period (mean age 57.0 years; 55.8% female, 86.6% thyroid carcinoma or neuroendocrine tumours), 69 (13.7%) were referred for POT. Of these, 36 were identified by psycho-oncological (PO) screening and 33 by clinical staff. After PO-screening implementation, referrals increased by a factor of 2.4. The strongest predictor of POT wish was depressive mood (P < .001). During both referral periods, about 15% of patients visited the PO outpatient unit additionally to inpatient PO consultations. CONCLUSIONS: Our results provide evidence from a real-life setting that PO screening can foster POT referrals, reduce barriers to express the POT wish, and hence help to meet psychosocial needs of this specific patient group. Differences between patients' needs, wish, and POT uptake should be further investigated.

Test-Retest Reliability of Discrete Choice Experiment for Valuations of QLU-C10D Health States.

BACKGROUND: Recently, a newly developed cancer-specific multiattribute utility instrument based on the widely used health-related quality of life instrument, the European Organisation for Research and Treatment of Cancer QLQ-C30, was introduced: the QLU-C10D. For the elicitation of utility weights, a discrete choice experiment (DCE) was designed. Our aim was to investigate the DCE in terms of individual choice consistency and utility estimate consistency by applying a test-retest design. METHODS: We conducted the study in general population samples in Germany and France. The DCE was administered via a web-based self-complete survey using online panels. Respondents were presented 16 choice sets comprising 11 attributes with 4 levels each. Retest was conducted 4 to 6 weeks after first assessment. We used kappa and percentage agreement as measures of choice consistency and both intraclass correlations and mean utility differences as measures of utility estimate consistency. RESULTS: A total of 300 German respondents (31% female, mean age 48 years [SD 14]) and 305 French respondents (46% female, mean age 47 years [SD 16]) completed test and retest assessments. Individual choice consistency was moderate to high (Germany: κ = 0.605, percentage agreement = 80.2%; France: κ = 0.411, percentage agreement = 70.6%). Utility estimate consistency was high when considering intraclass correlations (all >0.79). Mean utility differences were 0.08 in the German sample and 0.05 in the French sample. CONCLUSIONS: Results indicate that the designed DCE elicits stable health state preferences rather than guesses or mood-specific or condition-specific judgments. Nevertheless, the identified mean utility differences between test and retest need to be taken into account when determining minimal important differences for the QLU-C10D in future research.

Critical appraisal of health-state utility values used in breast cancer-related cost-utility analyses.

PURPOSE: To review the data sources of health-state utility values (HSUVs), as well as their elicitation and use, in 140 breast cancer-related cost-utility analyses (CUAs), and to provide a critical appraisal of these. METHODS: A checklist was developed to guide the process of the critical appraisal. It is divided into three parts: the data source (three questions), elicitation method (four questions), and use (ten questions) of HSUVs in CUAs. Two independent reviewers performed the data extraction. A consensus was reached in case of disagreements. Data sources were categorized as "original study," "derived from the literature," or "other." RESULTS: The data source of HSUVs was always specified. When HSUVs were derived from the literature (90% of cases), the authors referred to a median number of two references as data sources. The critical appraisal of the elicitation of HSUVs in CUAs revealed considerable variability in terms of the quality of the reporting of the data source selection of HSUV. More details were provided by authors when HSUVs were elicited from an original study rather than derived from the literature. The use of HSUVs elicited from an original study was generally better described in terms of the checklist than were those derived from the literature. CONCLUSIONS: Based on the developed checklist, we were able to highlight the challenges that authors are facing when trying to adequately report HSUV used in CUAs. Our proposed checklist offers a good starting point for encouraging more explicit and comprehensive reporting of HSUVs in CUAs.

Self-reported sexual health: Breast cancer survivors compared to women from the general population - an observational study.

BACKGROUND: Cancer survivorship is of increasing importance in post-treatment care. Sexual health (SH) and femininity can be crucial issues for women surviving cancer. We aimed to determine a more complete understanding of the contribution that a breast cancer (BC) diagnosis and its treatment exert on patients' follow-up SH. For this purpose, self-reported levels and predictors of SH in breast cancer survivors (BCS) were compared with those of women with no previous or current BC (WNBC). METHODS: BCS and WNBC underwent a comprehensive, cross-sectional patient-reported outcome (PRO) assessment. Validated PRO instruments were used to measure SH, body image, anxiety and depression and menopausal symptoms. Assessments were performed within the routine clinical setting. Instruments used were the Sexual Interest and Desire Inventory - Female, Sexual Activity Questionnaire, Body Image Scale, Hospital Anxiety and Depression Scale and the Menopause-Specific Quality of Life Questionnaire. RESULTS: One hundred five BCS (average time since diagnosis of 3 years) and 97 WNBC with a mean age of 49 years completed the assessment. SH was significantly worse in BCS compared to WNBC (p = 0.005; BCS SIDI-F mean = 24.9 vs. WNBC mean = 29.8). 68.8% of BCS and 58.8% of WNBC met criteria of a hypo-active sexual desire disorder. Higher depressive symptoms, higher age and lower partnership satisfaction were predictive for poorer SH in BCS. CONCLUSION: SH problems are apparent in BCS and differ significantly from those seen in the general population. Consequently, BC survivorship care should include interventions to ameliorate sexual dysfunction and provide help with depressive symptoms and partnership problems, which are associated with poor BCS SH.

Evaluation of Noncompletion Bias and Long-Term Adherence in a 10-Year Patient-Reported Outcome Monitoring Program in Clinical Routine.

BACKGROUND: Currently there is little knowledge on real-life sustainability of routine patient-reported outcome (PRO) measurement and the representativeness of collected data. OBJECTIVES: The investigation of routine PRO with regard to noncompletion bias and long-term adher- ence, considering the potential impact of mode of assessment (MOA) (paper-pencil vs. electronic PRO [ePRO]) and patient characteristics. METHODS: At our department, routine PRO measurement in oncological patients is being done since 2005 using different MOA (paper-pencil assessment until 2011 and ePRO assessment from 2011 onward). We analyzed two different patient groups: patients eligible in both periods (both-MOA group) and patients eligible in only one period (one-MOA group). The primary outcome was PRO noncompletion (100% missing questionnaires). The secondary outcome was poor PRO adherence (>20% missing questionnaires). Multivariate logistic regression models were developed, testing the impact of MOA and patient characteristics on the outcomes in the different patient groups. RESULTS: Data from 1484 eligible patients were included in the analyses. Most of the patients could be included in PRO assessment at least once. PRO noncompletion rates were clearly higher during paper-pencil assessment (odds ratios between 2.72 and 4.31), as were poor PRO adherence rates (odd ratio 2.23). Analyses of potential bias by patient characteristics showed that male patients had a higher risk of poor adherence. Other factors with significant impact were age, country, and cancer diagnosis, but results were indecisive. CONCLUSIONS: ePRO increased the feasibility of our clinical routine PRO data for retrospective analyses by increasing completion rates. In general, potential completion bias regarding certain patient characteristics requires attention before generalizing results to the respective populations.

Cost-utility analyses of drug therapies in breast cancer: a systematic review.

The economic evaluation (EE) of health care products has become a necessity. Their quality must be high in order to trust the results and make informed decisions. While cost-utility analyses (CUAs) should be preferred to cost-effectiveness analyses in the oncology area, the quality of breast cancer (BC)-related CUA has been given little attention so far. Thus, firstly, a systematic review of published CUA related to drug therapies for BC, gene expression profiling, and HER2 status testing was performed. Secondly, the quality of selected CUA was assessed and the factors associated with a high-quality CUA identified. The systematic literature search was conducted in PubMed, MEDLINE/EMBASE, and Cochrane to identify published CUA between 2000 and 2014. After screening and data extraction, the quality of each selected CUA was assessed by two independent reviewers, using the checklist proposed by Drummond et al. The analysis of factors associated with a high-quality CUA (defined as a Drummond score ≥7) was performed using a two-step approach. Our systematic review was based on 140 CUAs and showed a wide variety of methodological approaches, including differences in the perspective adopted, the time horizon, measurement of cost and effectiveness, and more specially health-state utility values (HSUVs). The median Drummond score was 7 [range 3-10]. Only one in two of the CUA (n = 74) had a Drummond score ≥7, synonymous of "high quality." The statistically significant predictors of a high-quality CUA were article with "gene expression profiling" topic (p = 0.001), consulting or pharmaceutical company as main location of first author (p = 0.004), and articles with both incremental cost-utility ratio and incremental cost-effectiveness ratio as outcomes of EE (p = 0.02). Our systematic review identified only 140 CUAs published over the past 15 years with one in two of high quality. It showed a wide variety of methodological approaches, especially focused on HSUVs. A critical appraisal of utility values is necessary to better understand one of the main difficulties encountered by authors and propose areas for improvement to increase the quality of CUA. Since the last 5 years, there is a tendency toward an improvement in the quality of these studies, probably coupled with economic context, a better and widely spreading of recommendations and thus appropriation by medical practitioners. That being said, there is an urgent need for mandatory use of European and international recommendations to ensure quality of such approaches and to allow easy comparison.

Order of Presentation of Dimensions Does Not Systematically Bias Utility Weights from a Discrete Choice Experiment.

BACKGROUND: Discrete choice experiments (DCEs) are increasingly used to value aspects of health. An issue with their adoption is that results may be sensitive to the order in which dimensions of health are presented in the valuation task. Findings in the literature regarding order effects are discordant at present. OBJECTIVES: To quantify the magnitude of order effect of quality-of-life (QOL) dimensions within the context of a DCE designed to produce country-specific value sets for the EORTC Quality of Life Utility Measure-Core 10 dimensions (QLU-C10D), a new utility instrument derived from the widely used cancer-specific QOL questionnaire, the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30. METHODS: The DCE comprised 960 choice sets, divided into 60 versions of 16 choice sets, with each respondent assigned to a version. Within each version, the order of QLU-C10D QOL dimensions was randomized, followed by life duration in the last position. The DCE was completed online by 2053 individuals in France and Germany. We analyzed the data with a series of conditional logit models, adjusted for repeated choices within respondent. We used F tests to assess order effects, correcting for multiple hypothesis testing. RESULTS: Each F test failed to reject the null hypothesis of no position effect: 1) all QOL order positions considered jointly; 2) last QOL position only; 3) first QOL position only. Furthermore, the order coefficients were small relative to those of the QLU-C10D QOL dimension levels. CONCLUSIONS: The order of presentation of QOL dimensions within a DCE designed to provide utility weights for the QLU-C10D had little effect on level coefficients of those QOL dimensions.

Systematic review reveals lack of quality in reporting health-related quality of life in patients with gastroenteropancreatic neuroendocrine tumours.

BACKGROUND: Gastroenteropancreatic neuroendocrine tumours (GEP-NET) are often slow-growing and patients may live for years with metastasised disease. Hence, along with increasing overall and progression-free survival, treatments aim at preserving patients' well-being and health-related quality of life (HRQoL). However, studies on systematic HRQoL assessment in patients with GEP-NET are scarce. Therefore, the purpose of the current review is to systematically evaluate the methodological quality of the identified studies. METHODS: A targeted database search was performed in PubMed, EMBASE, and CENTRAL. Data extraction was conducted by two independent researchers according to predefined criteria. For study evaluation, the Minimum Standard Checklist for Evaluating HRQoL Outcomes in Cancer Clinical Trials and the CONSORT Patient-Reported Outcome extension were adapted. RESULTS: The database search yielded 48 eligible studies. We found the awareness for the need of HRQoL measurement to be growing and application of cancer-specific instruments gaining acceptance. Overall, studies were too heterogeneous in terms of patient characteristics and treatment interventions to draw clear conclusions for clinical practice. More importantly, a range of methodological shortcomings has been identified which were mainly related to the assessment and statistical analysis, as well as the reporting and interpretation of HRQoL data. CONCLUSION: Despite an increasing interest in HRQoL in GEP-NET patients, there is still a lack of knowledge on this issue. A transfer of HRQoL results into clinical practice is hindered not only by the scarceness of studies, but also by the often limited quality of HRQoL processing and reporting.

Development of an item bank for the EORTC Role Functioning Computer Adaptive Test (EORTC RF-CAT).

BACKGROUND: Role functioning (RF) as a core construct of health-related quality of life (HRQOL) comprises aspects of occupational and social roles relevant for patients in all treatment phases as well as for survivors. The objective of the current study was to improve its assessment by developing a computer-adaptive test (CAT) for RF. This was part of a larger project whose objective is to develop a CAT version of the EORTC QLQ-C30 which is one of the most widely used HRQOL instruments in oncology. METHODS: In accordance with EORTC guidelines, the development of the RF-CAT comprised four phases. Phase I involved the conceptualization of RF. In Phase II, a provisional list of items was defined and revised by experts in the field. In phase III, feedback was obtained from cancer patients in various countries. Phase IV comprised field testing in an international sample, calibration of the item bank, and evaluation of the psychometric performance of the RF-CAT. RESULTS: Phases I-III yielded a list of 12 items eligible for phase IV field-testing. The field-testing sample included 1,023 patients from Austria, Denmark, Italy, and the UK. Psychometric evaluation and item response theory analyses yielded 10 items with good psychometric properties. The resulting item bank exhibits excellent reliability (mean reliability = 0.85, median = 0.95). Using the RF-CAT may allow sample size savings from 11 % up to 50 % compared to using the QLQ-C30 RF scale. CONCLUSIONS: The RF-CAT item bank improves the precision and efficiency with which RF can be assessed, promoting its integration into oncology research and clinical practice.

Persistent quality of life impairments in differentiated thyroid cancer patients: results from a monitoring programme.

PURPOSE: Health-related quality of life (HRQOL) in differentiated thyroid cancer (DTC) research has so far received little attention and available results are conflicting. We studied the HRQOL of radioiodine-naive DTC patients in comparison with the general population (GP), investigated the course of HRQOL up to 30 months after radioiodine remnant ablation (RAA) and sought to identify patient characteristics associated with HRQOL. METHODS: We analysed data from routine HRQOL monitoring at a nuclear medicine department. Between 2005 and 2013, a total of 439 thyroid cancer patients (all histologies) completed the EORTC Quality of Life Questionnaire Core-30 (QLQ-C30) at least once during their treatment at the department. We compared patients' baseline HRQOL scores before RAA with scores from age-matched and sex-matched controls from the Austrian GP. We then determined the course of HRQOL over the 30 months after RAA and assessed the impact of the following clinical variables on HRQOL: method of thyroid-stimulating hormone (TSH) stimulation, histology (papillary vs. follicular) and disease stage. RESULTS: A total of 284 patients (mean age 48.3 years, SD 15.0 years; 71.6% women; 80.7% papillary type) with a baseline HRQOL assessment before RAA were available. We found clinically meaningful differences in the detriment in patients on almost all domains. These were largest for fatigue (23 points) and role functioning (25 points). Data from 241 patients (mean age 48.6 years, SD 15.9 years; 68.9% women; 76.3% papillary type) were included in the longitudinal analysis. Investigating the course of HRQOL, a significant improvement over time was found for role and emotional functioning, fatigue, pain, and dyspnoea. A range of HRQOL scores were improved in patients with exogenous TSH stimulation, but some scores both in patients with exogenous TSH stimulation and in those followed for 30 months, especially fatigue and role functioning, did not reach levels in the GP sample. CONCLUSION: Our results show that the favourable prognosis of DTC does not directly translate into good HRQOL in these patients. Persistent restrictions in regaining their normal daily life in terms of work and leisure highlight the importance of more detailed investigation of DTC patients' wellbeing, support needs, and disease experience.

Assessing quality of life on the day of chemotherapy administration underestimates patients' true symptom burden.

BACKGROUND: In chemotherapy trials quality of life (QOL) is assessed mostly at the days of chemotherapy administration (i.e. event-driven) during treatment and follows fixed time intervals in the aftercare phase (i.e. time-driven). Specific QOL impairments and treatment side-effects are known to be time dependent following different trajectories. Therefore, acute problems are likely to be missed if assessments are done infrequently or at inappropriate time points. Since the planning of supportive care interventions during chemotherapy depends on knowledge about symptom trajectories, such information may be of substantial importance to a clinician. METHODS: Cancer patients receiving chemotherapy at Kufstein County Hospital were assessed using an electronic version of the EORTC QLQ-C30 at the day of chemotherapy administration at the hospital. One and two weeks later assessments were repeated via the internet while patients were at home. Assessments at home and the hospital were conducted using the web-based software CHES. Data were analysed by means of linear mixed models. RESULTS: A sample of 54 chemotherapy outpatients participated in electronic QOL assessments at the hospital and at home. For 9 out of the 15 QOL domains of the EORTC QLQ-C30 patients reported increased burden one week after chemotherapy administration compared to the day of chemotherapy administration. Most pronounced differences were found for Fatigue, Constipation, and Appetite Loss. CONCLUSIONS: Our results indicate that patients experience most severe QOL impairments in the week following chemotherapy administration. This is a period that is usually not covered by QOL assessments in chemotherapy trials which may result in underestimation of true treatment burden. Our findings suggest to conduct QOL assessments not only event- or time-driven, but to rely on specific hypotheses on symptom and functioning trajectories.

The EORTC emotional functioning computerized adaptive test: phases I-III of a cross-cultural item bank development.

BACKGROUND: The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group is currently developing computerized adaptive testing measures for the Quality of Life Questionnaire Core-30 (QLQ-C30) scales. The work presented here describes the development of an EORTC item bank for emotional functioning (EF), which is one of the core domains of the QLQ-C30. METHODS: According to the EORTC guidelines on module development, the development of the EF item bank comprised four phases, of which the phases I-III are reported in the present paper. Phase I involved defining the theoretical framework for the EF item bank and a literature search. Phase II included pre-defined item selection steps and a multi-stage expert review process. In phase III, feedback from cancer patients from different countries was obtained. RESULTS: On the basis of literature search in phase I, a list of 1750 items was generated. These were reviewed and further developed in phase II with a focus on relevance, redundancy, clarity, and difficulty. The development and selection steps led to a preliminary list of 41 items. In phase III, patient interviews (N = 41; Austria, Denmark, Italy, and the UK) were conducted with the preliminary item list, resulting in some minor changes to item wording. The final list comprised 38 items. DISCUSSION: The phases I-III of the developmental process have resulted in an EF item list that was well accepted by patients in several countries. The items will be subjected to larger-scale field testing in order to establish their psychometric characteristics and their fit to an item response theory model.

Cancer-Specific Health Utilities: Evaluation of Core Measurement Properties of the EORTC QLU-C10D in Lung Cancer Patients-Data from Four Multicentre LUX-Lung Trials, Applying Six Country Tariffs.

BACKGROUND: Cost-utility analysis generally requires valid preference-based measures (PBMs) to assess the utility of patient health. While generic PBMs are widely used, disease-specific PBMs may capture additional aspects of health relevant for certain patient populations. This study investigates the construct and concurrent criterion validity of the cancer-specific European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Utility-Core 10 dimensions (QLU-C10D) in non-small-cell lung cancer patients. METHODS: We retrospectively analysed data from four multicentre LUX-Lung trials, all of which had administered the EORTC Quality of Life Questionnaire (QLQ-C30) and the EQ-5D-3L. We applied six country-specific value sets (Australia, Canada, Italy, the Netherlands, Poland, and the United Kingdom) to both instruments. Criterion validity was assessed via correlations between the instruments' utility scores. Correlations of divergent and convergent domains and Bland-Altman plots investigated construct validity. Floor and ceiling effects were assessed. RESULTS: The comparison of the EORTC QLU-C10D and EQ-5D-3L produced homogenous results for five of the six country tariffs. High correlations of utilities (r > 0.7) were found for all country tariffs except for the Netherlands. Moderate to high correlations of converging domain pairs (r from 0.472 to 0.718) were found with few exceptions, such as the Social Functioning-Usual Activities domain pair (max. r = 0.376). For all but the Dutch tariff, the EORTC QLU-C10D produced consistently lower utility values compared to the EQ-5D-3L (x̄ difference from - 0.082 to 0.033). Floor and ceiling effects were consistently lower for the EORTC QLU-C10D (max. 4.67% for utilities). CONCLUSIONS: The six country tariffs showed good psychometric properties for the EORTC QLU-C10D in lung cancer patients. Criterion and construct validity was established. The QLU-C10D showed superior measurement precision towards the upper and lower end of the scale compared to the EQ-5D-3L, which is important when cost-utility analysis seeks to measure health change across the severity spectrum.