Zeinab Hamidou

Time to health-related quality of life score deterioration as a modality of longitudinal analysis for health-related quality of life studies in oncology: do we need RECIST for quality of life to achieve standardization?

AbstractPurposeLongitudinal analysis of health-related quality of life (HRQoL) remains unstandardized and compromises comparison of results between trials. In oncology, despite available statistical approaches, results are poorly used to change standards of care, mainly due to lack of standardization and the ability to propose clinical meaningful results. In this context, the time to deterioration (TTD) has been proposed as a modality of longitudinal HRQoL analysis for cancer patients. As for tumor response and progression, we propose to develop RECIST criteria for HRQoL.MethodsSeveral definitions of TTD are investigated in this paper. We applied this approach in early breast cancer and metastatic pancreatic cancer with a 5-point minimal clinically important difference. In breast cancer, TTD was defined as compared to the baseline score or to the best previous score. In pancreatic cancer (arm 1: gemcitabine with FOLFIRI.3, arm 2: gemcitabine alone), the time until definitive deterioration (TUDD) was investigated with or without death as event.ResultsIn the breast cancer study, 381 women were included. The median TTD was influenced by the choice of the reference score. In pancreatic cancer study, 98 patients were enrolled. Patients in Arm 1 presented longer TUDD than those in Arm 2 for most of HRQoL scores. Results of TUDD were slightly different according to the definition of deterioration applied. ConclusionCurrently, the international ARCAD group supports the idea of developing RECIST for HRQoL in pancreatic and colorectal cancer with liver metastasis, with a view to using HRQoL as a co-primary endpoint along with a tumor parameter.

Impact of response shift on longitudinal quality-of-life assessment in cancer clinical trials.

The assessment of longitudinal change in subjective patient-reported outcomes such as health-related quality of life (HRQoL) is a key component of many clinical and research evaluations. A major goal of measuring patient-reported HRQoL is to determine to what extent changes in HRQoL reports over time represent true changes in HRQoL due to treatment or cancer and to what extent they reflect measurement error. Indeed, the subjective assessment of HRQoL change is subject to response-shift effects, whereby health changes lead to shifts in internal standards (i.e., ‘recalibration’), values (i.e., ‘reprioritization’) and conceptualization (i.e., ’reconceptualization’) of key HRQoL domains. Response shift is a naturally occurring process that could distort the interpretation of change in HRQoL scores over time in interventional studies. Assessing response shift may therefore be needed to obtain a valid and sensitive assessment of change over time. Several methods to detect and measure the size and the direction of response shift are available. In this article, we summarize the methods used to assess and adjust for the response-shift effect in clinical trials. Nevertheless, our understanding of the parameters and processes associated with response shift is very limited. Further research is still needed to better understand how to measure the different components of response shift and how to take them into account in cancer research.

Item response theory and factor analysis as a mean to characterize occurrence of response shift in a longitudinal quality of life study in breast cancer patients

BackgroundThe occurrence of response shift (RS) in longitudinal health-related quality of life (HRQoL) studies, reflecting patient adaptation to disease, has already been demonstrated. Several methods have been developed to detect the three different types of response shift (RS), i.e. recalibration RS, 2) reprioritization RS, and 3) reconceptualization RS. We investigated two complementary methods that characterize the occurrence of RS: factor analysis, comprising Principal Component Analysis (PCA) and Multiple Correspondence Analysis (MCA), and a method of Item Response Theory (IRT).MethodsBreast cancer patients (n = 381) completed the EORTC QLQ-C30 and EORTC QLQ-BR23 questionnaires at baseline, immediately following surgery, and three and six months after surgery, according to the “then-test/post-test” design. Recalibration was explored using MCA and a model of IRT, called the Linear Logistic Model with Relaxed Assumptions (LLRA) using the then-test method. Principal Component Analysis (PCA) was used to explore reconceptualization and reprioritization.ResultsMCA highlighted the main profiles of recalibration: patients with high HRQoL level report a slightly worse HRQoL level retrospectively and vice versa. The LLRA model indicated a downward or upward recalibration for each dimension. At six months, the recalibration effect was statistically significant for 11/22 dimensions of the QLQ-C30 and BR23 according to the LLRA model (p ≤ 0.001). Regarding the QLQ-C30, PCA indicated a reprioritization of symptom scales and reconceptualization via an increased correlation between functional scales.ConclusionsOur findings demonstrate the usefulness of these analyses in characterizing the occurrence of RS. MCA and IRT model had convergent results with then-test method to characterize recalibration component of RS. PCA is an indirect method in investigating the reprioritization and reconceptualization components of RS.

Assessment of coping: a new french four-factor structure of the brief COPE inventory

BackgroundThe Brief Coping Orientation to Problems Experienced (Brief COPE) inventory is the most usual measure to identify the nature of coping strategies implemented by individuals and explore 14 coping strategies. The availability of a structure with fewer factors rather than the initial 14-factor structure may be of interest for both healthcare professionals and researchers. We report the validation process of a 4-factor structure of the French version of the Brief COPE in a French sample of individuals facing a singular life event, such as cancer, including patients and their caregivers.MethodsThe cross-sectional study included cancer patients and their caregivers. Self-administered data were collected including: socio-demographic (age, gender, marital status, employment status, and education level), coping strategies using the French version of the Brief COPE, quality of life (QoL) using the French version of the short form health survey questionnaire (SF36). Construct validity, internal consistency, reliability, and external validity were tested.ResultsThe sample included 398 individuals. The principal component factor analysis identified a 4-factor structure. The dimensions were labeled according to their constitutive items: social support (8 items), problem solving (4), avoidance (10), and positive thinking (6). The 4-factor structure was supported by different theoretical models of coping and showed satisfactory psychometric properties.ConclusionThe 4-factor structure of the French version of the Brief COPE, validated in a sample of individuals facing a singular stressful event, including cancer patients and their caregivers, makes the instrument easier to use both in clinical practice and clinical research.

Coping with a newly diagnosed high-grade glioma: patient-caregiver dyad effects on quality of life.

Patients with high-grade gliomas (HGG) and their caregivers have to confront a very aggressive disease that produces major lifestyle disruptions. There is an interest in studying the ability of patients and their caregivers to cope with the difficulties that affect quality of life (QoL). We examine, in a sample of patient-caregiver dyads in the specific context of newly diagnosed cases of HGG, whether the QoL of patients and caregivers is influenced by the coping processes they and their relatives use from a specific actor–partner interdependence model (APIM). This cross-sectional study involved 42 dyads with patients having recent diagnoses of HGG and assessed in the time-frame between diagnosis and treatment initiation. The self-reported data included QoL (Patient-Generated Index, EORTC QLQ-C30, and CareGiver Oncology QoL), emotional status, and coping strategies (BriefCope). The APIM was used to test the dyadic effects of coping strategies on QoL. Coping strategies, such as social support, avoidance, and problem solving, exhibited evidence of either an actor effect (degree to which the individual’s coping strategies are associated with their own QoL) or partner effect (degree to which the individual’s coping strategies are associated with the QoL of the other member of the dyad) for patients or caregivers. For positive-thinking coping strategies, actor and partner effect were not observed. This study emphasizes that the QoL for patients and their caregivers was directly related to the coping strategies they used. This finding suggests that targeted interventions should be offered to help patients and their relatives to implement more effective coping strategies.

Age-related hearing loss in individuals and their caregivers: effects of coping on the quality of life among the dyads

Objectives Age-related hearing loss (ARHL) impacts the daily living and quality of life (QoL) of affected individuals and the functioning of family caregivers. In the specific context of voluntary medical checkups, we examined sample dyads (ARHL individual and the caregiver) to determine whether QoL of patients and caregivers is influenced by coping strategies implemented either by themselves or their relatives. Methods This was a cross-sectional study with a descriptive/correlative design performed in a French preventive health center (Regional Institute for Prevention of Aging, Marseille, France) for the beneficiaries of pension funds of private sector employees. The samples included beneficiary–caregiver dyads. The beneficiaries had bilateral (mild to moderately severe) ARHL. Self-reported data were collected as follows: QoL using the World Health Organization Quality of Life questionnaire, coping strategies using the Brief Coping Orientation to Problems Experienced Scale, and anxiety and mood using visual analog scales. Results The final sample comprised 44 beneficiaries and 44 caregivers. The caregiver was the partner of the beneficiary in 73% of cases. The QoL scores of the social dimension were significantly lower for beneficiaries and caregivers compared with French age- and sex-matched controls. Among beneficiaries and caregivers, coping strategies based on problem solving were the most commonly used strategies. The use of positive thinking strategies was associated with higher QoL scores. The more one member of the dyad used an avoidance coping strategy, the more the other member used a positive thinking strategy. Conclusion This study emphasizes that QoL of individuals with age-related hearing impairment and their natural caregivers is related to the coping strategies that they use. This finding suggests that targeted interventions should be offered to help individuals who experience emotional difficulties to implement more efficient coping strategies.

Dyadic effects of coping strategies, time perspectives, and personality on the quality of life of cancer patients and their caregivers

Researchers are interested in studying whether the quality of life (QoL) of cancer patients and caregivers is influenced by internal psychobehavioral processes (temporality and coping strategies) and the personality traits that they or their relatives experience. We examined these associations in a sample of patient‐caregiver dyads by using the actor‐partner interdependence model.

Clustering based on unsupervised binary trees to define subgroups of cancer patients according to symptom severity in cancer

BackgroundStudies have suggested that clinicians do not feel comfortable with the interpretation of symptom severity, functional status, and quality of life (QoL). Implementation strategies of these types of measurements in clinical practice imply that consensual norms and guidelines regarding data interpretation are available. The aim of this study was to define subgroups of patients according to the levels of symptom severity using a method of interpretable clustering that uses unsupervised binary trees.MethodsThe patients were classified using a top-down hierarchical method: Clustering using Unsupervised Binary Trees (CUBT). We considered a three-group structure: “high”, “moderate”, and “low” level of symptom severity. The clustering tree was based on three stages using the 9-symptom scale scores of the EORTC QLQ-C30: a maximal tree was first developed by applying a recursive partitioning algorithm; the tree was then pruned using a criterion of minimal dissimilarity; finally, the most similar clusters were joined together. Inter-cluster comparisons were performed to test the sample partition and QoL data.ResultsTwo hundred thirty-five patients with different types of cancer were included. The three-cluster structure classified 143 patients with “low”, 46 with “moderate”, and 46 with “high” levels of symptom severity. This partition was explained by cut-off values on Fatigue and Appetite Loss scores. The three clusters consistently differentiated patients based on the clinical characteristics and QoL outcomes.ConclusionOur study suggests that CUBT is relevant to define the levels of symptom severity in cancer. This finding may have important implications for helping clinicians to interpret symptom profiles in clinical practice, to identify individuals at risk for poorer outcomes and implement targeted interventions.

Coping strategies and quality of life: a longitudinal study of high-grade glioma patient-caregiver dyads

BackgroundAmong a sample of patient-informal caregiver dyads in the specific context of new diagnoses of high-grade glioma in the time-frame between diagnosis and the third month following diagnosis, we examine whether the coping strategies implemented by the patients and their caregivers influenced their own quality of life (QoL) and the QoL of their relatives.MethodsThirty-eight dyads with patients having recent diagnoses of high-grade glioma were involved in this longitudinal study. The self-reported data include QoL (Patient-Generated Index, EORTC QLQ-C30, and CareGiver Oncology Quality of Life), and coping strategies (BriefCope). Data were collected at T1 corresponding to the time-frame between diagnosis and postsurgical treatment initiation and T2 corresponding to the 3-month post-inclusion follow-up.ResultsCoping strategies based on social support and avoidance were the least used at baseline and the 3-month follow-up, both for patients and caregivers. At the 3-month follow-up, the use of social support at baseline was significantly related to lower scores of QoL for the patients and with higher QoL for the caregivers. For the patient, the use of problem-solving or positive thinking at baseline was not related to his/her QoL, while it was related to more satisfactory QoL scores for the caregiver. The use of avoidance at baseline was linked to a higher 3-month QoL for the patients and a lower 3-month QoL for the caregivers. Using the specific dyadic analyses (actor–partner interdependence model), the 3-month patient’s QoL was lower (β = − 0.322; p = 0.03) when the patient mobilized the social support strategy at baseline, but was higher(β = 0.631; p < 10− 3) when his/her informal caregiver used this strategy. After adjustment for sex, age, and baseline PGI score, the link between high use of the social support strategy at baseline by the caregiver and the patient’s 3-month QoL, remained present (positive partner effect; β =0.675; p < 10− 3).ConclusionThe QoL for patients and their informal caregivers since the time of diagnosis is directly related to the use of coping strategies based on social support at time of diagnosis.

Domains of quality of life freely expressed by cancer patients and their caregivers: contribution of the SEIQoL

BackgroundThe purposes of this study, performed on a large sample of cancer patient-caregiver dyads, were: i) to simultaneously investigate, using an individualized quality of life (QoL) measure (Schedule for the Evaluation of Individual QoL, SEIQoL), the QoL domains freely expressed by cancer patients and their caregivers, and ii) to explore overlapping between the SEIQoL assessment and QoL assessment using traditional instruments.MethodsThe study employed a cross-sectional design including cancer patients who were going to receive chemotherapy treatment and their caregivers. Quality of life was assessed using condition-specific questionnaires (EORTC QLQ-C30 and CarGOQoL), generic health-related questionnaire (SF-36), and open individualized measure (SEIQoL).ResultsThe final sample included 205 patient-caregiver dyads. From the SEIQoL, Family, Health, and Leisures were the most freely expressed QoL domains by patients and caregivers, but reported with different weights. Love life and financial issues were less spontaneously mentioned. The SEIQoL index was moderately correlated to the condition-specific QoL questionnaires (R lower than |0.40|) and to SF-36 (correlation coefficients: R ranging from 0.17 to 0.31).ConclusionIndividualized QoL measures allow individuals to spontaneously express important, non-predefined domains. This study highlights the need to explore QoL using a combination of individualized questionnaires and standardized questionnaires, capturing complementary facets that patients consider important in their life.