Factors associated with supportive care needs in glioma patients in the neuro-oncological outpatient setting.

Objective of this study aimed at assessing glioma patients' supportive care needs in a neurosurgical outpatient setting and identifying factors that are associated with needs for support. In three neuro-oncological outpatient departments, glioma patients were assessed for their psychosocial needs using the Supportive Care Needs Survey short-form (SCNS-SF34-G). Associations between clinical, sociodemographic, treatment related factors as well as distress (measured with the distress thermometer) and supportive care needs were explored using multivariable general linear models. One-hundred and seventy three of 244 eligible glioma patients participated, most of them with primary diagnoses of a high-grade glioma (81%). Highest need for support was observed in 'psychological needs' (median 17.5, range 5-45) followed by 'physical and daily living needs' (median 12.5, range 0-25) and 'health system and information needs' (median 11.3, range 0-36). Needs in the psychological area were associated with distress (R2 = 0.36) but not with age, sex, Karnofsky performance status (KPS), extend of resection, currently undergoing chemotherapy and whether guidance during assessment was offered. Regarding 'health system and information needs', we observed associations with distress, age, currently undergoing chemotherapy and guidance (R2 = 0.31). In the domain 'physical and daily living needs' we found associations with KPS, residual tumor, as well as with distress (R2 = 0.37). Glioma patients in neuro-oncological departments report unmet supportive care needs, especially in the psychological domain. Distress is the factor most consistently associated with unmet needs requiring support and could serve as indicator for clinical neuro-oncologists to initiate support.

Evaluating patients for psychosocial distress and supportive care needs based on health-related quality of life in primary brain tumors: a prospective multicenter analysis of patients with gliomas in an outpatient setting.

The association between health-related quality of life (HRQoL), psychosocial distress, and supportive care is in the focus of patient-centered neuro-oncology. We investigated the relationship between the aforementioned in glioma-patients to evaluate the association of these instruments and determine cut-off values for suitable HRQoL scales indicating a potential need for intervention. In an observational multi-center study, outpatients completed the Distress Thermometer (DT), EORTC Quality of Life Questionnaire (EORTC-QLQ-C30/BN20, HRQoL), and Supportive-Care-Needs-Survey-SF34-G (SCNS). Based on nine EORTC-function and selected -symptom scales items of the questionnaires were matched. Convergent validity of related single items and scores across the instruments was estimated. EORTC cut-off values were calculated. Data of 167 patients were analyzed. The strongest correlation of EORTC-QLQ-C30 and DT was found for cognitive function (cogf), global health status (GHS), emotional (emof), role function (rolef), future uncertainty (FU), fatigue, and between EORTC-QLQ-C30 and SCNS for FU, emof, rolef (r = |0.4-0.7|; p < 0.01). EORTC cut-off values of <54.2 (GHS/QoL) and <62.5 (emof) predicted a DT ≥ 6 (AUC 0.79, 0.85, p < 0.01). EORTC cut-off values of <70.8 (emof) and <52.8 (FU) predicted the need for supportive care (AUC 0.78, 0.85; p < 0.01). Worse EORTC-C30 scores correlate with higher DT and SCNS scores. With this exploratory assessment, cut-off values for EORTC-C30 subscores to predict distress and pathological SCNS-scores could be determined, which could influence patients' referral to further treatment. However, further prospective clinical trials are needed to confirm the clinical relevance of these cut-off values.

Compliance with patient-reported outcome assessment in glioma patients: predictors for drop out.

BACKGROUND: Patient-reported outcomes are of high importance in clinical neuro-oncology. However, assessment is still suboptimal. We aimed at exploring factors associated with the probability for a) drop out of study and b) death during follow-up. METHODS: Patients were assessed twice during follow-up visits scheduled within 3 to 5 months of each other by using 3 validated patient-reported outcome measures (t1: first assessment, t2: second assessment). As "death" was seen as a competing risk for drop out, univariate competing risk Cox regression models were applied to explore factors associated with dropping out (age, gender, WHO grade, living situation, recurrent surgery, Karnofsky Performance Status, time since diagnosis, and patient-reported outcomes assessed by Distress Thermometer, EORTC-QLQ-C30, EORTC-QLQ-BN20, and SCNS-SF-34G). RESULTS: Two hundred forty-six patients were eligible, 173 (70%) participated. Patients declining participation were diagnosed with glioblastomas more often than with other gliomas (56% vs 39%). At t2, 32 (18%) patients dropped out, n = 14 death-related, n = 18 for other reasons. Motor dysfunction (EORTC-QLQ-BN20) was associated with higher risk for non-death-related drop out (HR: 1.02; 95% CI, 1.00-1.03; P = .03). Death-related drop out was associated with age (HR: 1.09; 95% CI, 1.03-1.14; P = .002), Karnofsky Performance Status (HR: 0.92; 95% CI, 0.88-0.96; P < .001), lower physical functioning (EORTC-QLQ-C30; HR: 0.98; 95% CI, 0.96-1.00; P = .04) and lower motor functioning (EORTC-QLQ-BN20; HR: 1.020; 95% CI, 1.00-1.04; P = .02). CONCLUSION: Patients with motor dysfunction and poorer clinical condition seem to be more likely to drop out of studies applying patient-reported outcome measures. This should be taken into account when planning studies assessing glioma patients and for interpretation of results of patient-reported outcome assessments in clinical routine.