Dimensionality and Measurement Invariance of the Italian Version of the EORTC QLQ-C30 in Postoperative Lung Cancer Patients

Marzorati, Chiara; Monzani, Dario; Mazzocco, Ketti; Pavan, Francesca; Monturano, Massimo; Pravettoni, Gabriella

doi:10.3389/fpsyg.2019.02147

Cited by 13 publications

(13 citation statements)

References 40 publications

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“…This is in line with Costa et al [ 9 ] who found little bias in the comparison of patients with various primary cancers. While a previous study by Marzorati et al [ 8 ] found MI with regard to sex, we only found marginal differences on item level. Also, findings from a study by King-Kallimanis et al [ 7 ] and Marzorati et al [ 8 ] indicated some measurement bias based on age; however, in those studies and in our study effect sizes of the changes in the item’s associated factor means were small to medium.…”

Section: Discussioncontrasting

confidence: 99%

“…While a previous study by Marzorati et al [ 8 ] found MI with regard to sex, we only found marginal differences on item level. Also, findings from a study by King-Kallimanis et al [ 7 ] and Marzorati et al [ 8 ] indicated some measurement bias based on age; however, in those studies and in our study effect sizes of the changes in the item’s associated factor means were small to medium. Other studies found measurement bias with regard to change over time (patients pre- and post-cancer treatment) [ 4 , 5 ], while we, with regard to time since diagnosis, and Scott et al 2009 [ 6 ] with regard to disease trajectory, did not.…”

Section: Discussioncontrasting

confidence: 99%

“…However, the sample size of this study was rather small, considering the statistical approach used. In contrast, the QLQ-C30 was found to be MI for age, sex, and type of surgery (i.e., robot- or not robot-assisted) in lung cancer patients [ 8 ], and for primary cancer sites in a large heterogeneous cancer sample ( n = 1906) [ 9 ]. Two other studies found that the QLQ-C30 was mostly MI across ethnic groups [ 10 ], languages [ 11 ], countries [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

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Assessing measurement invariance in the EORTC QLQ-C30

et al. 2021

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Purpose We aimed to investigate measurement invariance (MI) in the European Organisation for research and treatment of cancer quality of life questionnaire core 30 (EORTC QLQ-C30) in a heterogeneous sample of patients with cancer. Methods Data from 12 studies within the PROFILES registry were used for secondary analyses (n = 7007). We tested MI by successive restrictions on thresholds, loadings, and intercepts across subgroups based on primary cancer sites, age, sex, time since diagnosis, and life stage, using multigroup confirmatory factor analysis (MGCFA) for ordered categorical measures. We also evaluated the impact of potentially miss-specified parameter equality across groups on latent factor means by releasing threshold and loading equality constraints for each item at a time. Results Results showed that the highest level of MI (invariance of thresholds, loadings, and intercepts) was found across groups based on time since diagnosis and life stage and to a lesser extent across groups based on sex, age, and primary tumor site. On item level, however, changes in the item’s associated factor means were relatively small and in most cases canceled each other out to some extent. Conclusions Given only a few instances of non-invariance in our study, there is reason to be confident that valid conclusions can be drawn from between-group comparisons of QLQ-C30 latent means as operationalized in our study. Nonetheless, further research into MI between other subgroups for the QLQ-C30 (i.e., treatment effects and ethnicity) is warranted. We stress the importance of including MI evaluations in the development and validation of measurement instruments.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussioncontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessing measurement invariance in the EORTC QLQ-C30

et al. 2021

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“…The EORTC QLQ-C30 is the most commonly used tool for measuring QoL in lung cancer patients. Several studies reported good psychometric properties, demonstrating an excellent convergent and discriminant validity with the Functional Assessment of Cancer Therapy—General (FACT-G) questionnaire and good reliability for all domains (Cronbach's α higher than 0.70) (Jocham et al, 2009 ; Iravani et al, 2018 ; Marzorati et al, 2019b ).…”

Section: Methodsmentioning

confidence: 99%

One-Year Quality of Life Trends in Early-Stage Lung Cancer Patients After Lobectomy

et al. 2020

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Objective: Quality of Life (QoL) is an important predictor of patient's recovery and survival in lung cancer patients. The aim of the present study is to identify 1-year trends of lung cancer patients' QoL after robot-assisted or traditional lobectomy and investigate whether clinical (e.g., pre-surgery QoL, type of surgery, and perioperative complications) and sociodemographic variables (e.g., age) may predict these trends.Methods: An Italian sample of 176 lung cancer patients undergoing lobectomy completed the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire—Core 30 (QLQ-C30) at the pre-hospitalization (t0), 30 days (t1), 4 months (t2), 8 months (t3), and 12 months (t4) after surgery. Sociodemographic and clinical characteristics (age, gender, perioperative complications, and type of surgery) were also collected. The individual change over time of the 15 dimensions of the EORTC QLQ-C30 and the effects of pre-surgery scores of QoL dimensions, type of surgery, perioperative complications, and age on patients' QoL after surgery were studied with the individual growth curve (IGC) models.Results: Patients had a good recovery after lobectomy: functioning subscales improved over time, while most of the symptoms became less severe over the care process. Perioperative complications, type of surgery, pre-surgery status, and age significantly affected these trends, thus becoming predictors of patients' QoL.Conclusion: This study highlights different 1-year trends of lung cancer patients' QoL. The measurement of pre- and post-surgery QoL and its clinical and sociodemographic covariables would be necessary to better investigate patients' care process and implement personalized medicine in lung cancer hospital divisions.

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“…The EORTC QLQ-C30 ( 40) is a quality of life measure with solid psychometric properties. This measure has been translated and validated in Italian (43,44). The EORTC QLQ-C30 consists of 30 items organized into ve areas of functioning (physical, role, emotional, cognitive, and social), nine symptom subscales/items (fatigue, nausea/vomiting, pain, dyspnea, insomnia, appetite loss, constipation, diarrhea, and nancial di culties) and a Global Health/Quality of Life subscale.…”

Section: Eortc Qlq-c30mentioning

confidence: 99%

Assessment and utility of socio-relational self-efficacy in breast cancer patients: Italian Validation of the Social Relationship Coping Efficacy Scale (SRCE-I)

Serpentini

Silvestri

Cristaldi

et al. 2022

Preprint

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Background: Social relationship coping efficacy (SRCE) represents the ability to maintain or enhance social relationships in the context of serious illness. The purpose of the current study was to confirm the factor structure, psychometric properties, and utility of the Italian version of the SRCE scale. Methods: 181 breast cancer patients completed the SRCE-Italian (SRCE-I), the Cancer Behavior Inventory–Brief/Italian (CBI-B/I), quality of life (QOL) measures (EORTC QLQ-C30; EORTC QLQ-BR23), and the Hospital Anxiety and Depression Scale (HADS). Results: The SRCE-I was internally consistent (Cronbach alpha=.95) and factor analysis confirmed that the SRCE-I was a unidimensional construct. In terms of validity, the SRCE-I was correlated with QOL (EORTC QLQ-30, Social Functioning, r=.323, Emotional Functioning, r=.562, and Global Health/Quality of Life; r=.546) and scales of the EORTC QLQ-BR23 (e.g., Future Perspective, r=.348; Breast Symptoms, -.331). SRCE-I was also correlated negatively with the HADS (r=-.707) and positively with the CBI-B/I (r= .810), a measure of coping efficacy (all ps<.001). Mediation analyses confirmed the utility of the SRCE-I scale as a mediating mechanism in enhancing social functioning and QOL. Conclusions: The SRCE-I is a structurally sound, reliable, and valid measure that assesses the ability to maintain or enhance social support and mitigate the loss of social support. The SRCE-I can be used as a screening measure to assess low efficacy for maintaining social support or as a measure to detect the change in efficacy for enhancing social support in interventions to improve the QOL of patients.

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Dimensionality and Measurement Invariance of the Italian Version of the EORTC QLQ-C30 in Postoperative Lung Cancer Patients

Cited by 13 publications

References 40 publications

Assessing measurement invariance in the EORTC QLQ-C30

Assessing measurement invariance in the EORTC QLQ-C30

One-Year Quality of Life Trends in Early-Stage Lung Cancer Patients After Lobectomy

Assessment and utility of socio-relational self-efficacy in breast cancer patients: Italian Validation of the Social Relationship Coping Efficacy Scale (SRCE-I)

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