Validation study of the Japanese version of MD Anderson Symptom Inventory for Brain Tumor module

The Mediating Effect of Uncertainty in Illness on Cancer Coping in Patients With Primary Malignant Brain Tumors

BACKGROUND

Patients with primary malignant brain tumors (PMBTs) experience uncertainty in illness (UI) because of the high recurrence rate and symptoms that occur during treatment.

OBJECTIVE

To develop and test a model based on the Uncertainty in Illness Theory to predict the UI and cancer coping experienced by PMBT patients.

METHODS

This was a cross-sectional study using path analysis. The participants were adults diagnosed with PMBT who completed a questionnaire about demographic and disease-related characteristics, UI, cancer coping, brain tumor symptoms, and social support. Clinical data (eg, the diagnosis, tumor location, and grade) were obtained from electronic health records. Data were analyzed using SPSS 26.0 and the MVN , psych , and lavaan packages in R 4.1.0.

RESULTS

This study included 203 PMBT patients. The hypothesized model satisfied all statistical criteria (comparative fit index = 0.998, root mean square error of approximation = 0.044, standardized root mean square residual = 0.016). The indirect and direct associations of UI in the path from social support to cancer coping were all significant with a 95% bootstrapping confidence interval. Although the indirect and direct associations of UI in the path of brain tumor symptoms and cancer coping did not have direct or total effects, the indirect effect was statistically significant.

CONCLUSIONS

Uncertainty in illness mediated brain tumor symptoms and social support to predict cancer coping.

IMPLICATIONS FOR PRACTICE

A nurse-led intervention for cancer coping among PMBT patients can be developed by considering symptoms and social support and UI as a mediator.

Symptom management in adult brain tumours: A literature review

AIM

To review the literature related to symptom management, clinical significance and related theoretical framework systems in adult patients with brain tumours.

BACKGROUND

As understanding of symptoms or symptom clusters and underlying biologic mechanisms has grown, it is apparent that symptom science is moving forward. Although some progress has been made in the symptom science of solid tumours such as breast and lung neoplasms, insufficient attention has been paid to symptom management for patients suffering from brain tumours. Further research is needed to achieve effective symptom management for these patients.

DESIGN

A literature review with a systematic search of symptom management in adult brain tumours.

METHODS

Electronic data bases were searched to obtain relevant published literature on symptom management in adults with brain tumours. This was then analysed and a synthesis of relevant findings is presented.

FINDINGS

Four significant general themes relating to symptom management of brain tumours in adults were identified: (1) The potential theoretical foundation related to symptom management was revealed. (2) Widely accepted validated scales or questionnaires for the assessment of single symptoms or symptom clusters were recommended. (3) Several symptom clusters and the underlying biologic mechanisms have been reported. (4) Specific symptom interventions for adults with brain tumours were collected and classified as evidence-based or insufficient evidence.

CONCLUSION

There are still many challenges in the effective management of symptoms in adults with brain tumours. The guiding role of theoretical frameworks or models related to symptom management should be utilized in future research. Using the concept of symptom clustering for research into symptoms found in patients with brain tumours, exploring common biological mechanisms for specific symptom clusters and making full use of modern big data resources to build a strong evidence base for an effective intervention or management program may inform the management of symptoms among these patients leading to better results.

NO PATIENT OR PUBLIC CONTRIBUTION

This is a literature review.

IMPLICATIONS FOR SYMPTOM MANAGEMENT

The ultimate goal is obviously not only improving the survival rate of patients with brain tumours, but also enhancing their quality of life. Several important findings from our review include the theoretical foundations, validated assessment tools, the assessment of symptom clusters and the underlying biologic mechanism, and the identification of the evidence base for symptom interventions. These are of relevance for managers, researchers and practitioners and may function as a reference to help the effective symptom management for adults with brain tumours.

Characteristics of health-related quality of life and related factors in patients with brain tumors treated with rehabilitation therapy

Background

Rehabilitation therapy during hospitalization is effective in improving activities of daily living (ADL) and physical function in patients with brain tumors. However, there are few studies on the effect of rehabilitation therapy on health-related quality of life (HRQOL) in patients with brain tumors. Additionally, the EuroQol-5Dimension-5Level (EQ-5D-5L) index score has not been reported as an outcome. This study aimed to investigate the HRQOL of patients with brain tumors who underwent rehabilitation therapy and investigated the factors affecting the EQ-5D-5L index score from various perspectives, including various brain tumor type and recurrence. In addition, we examined the relationship between the EQ-5D-5L index score, disease-specific HRQOL scale, and ADL.

Methods

Patients with brain tumors who underwent treatment and rehabilitation at Single tertiary care academic medical center were included in this cross-sectional study. We used the EQ-5D-5L, European Organisation for Research and Treatment of Cancer (EORTC) quality of life questionnaire core 30, and EORTC quality of life questionnaire brain cancer module to evaluate HRQOL. ADL were assessed using the functional independence measure (FIM). The relationship between each HRQOL assessment score and the FIM was analyzed, and the influence of related factors was assessed by multiple regression analysis.

Results

This study included 76 patients. The EQ-5D-5L index score was 0.689 for all patients with brain tumors and 0.574 for those with glioblastomas, which was the lowest value. There was a moderate correlation between the EQ-5D-5L index score and FIM (r = 0.627, p < 0.001). In addition, the EQ-5D-5L index score was significantly correlated with most of the items of the disease-specific HRQOL scale. Multiple regression analysis revealed that glioblastoma histology (coefficient: − 0.373, p = 0.005) and recurrence (coefficient: − 0.273, p = 0.020) were independent factors affecting the EQ-5D-5L index score.

Conclusions

Patients with glioblastoma undergoing rehabilitation have reduced HRQOL, which was influenced by glioblastoma histology and recurrence.

Relationship among symptoms, resilience, post-traumatic growth, and quality of life in patients with glioma

PURPOSE

The aims of this study were to explore the relationship among symptoms, resilience, post-traumatic growth, and quality of life, and to identify the influence of these variables on quality of life in patients with glioma.

METHODS

A correlational, cross-sectional research design was used. A convenience sample of 120 patients was recruited from an outpatient neurosurgery clinic. Data analyses included descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation coefficient, and hierarchical regression analysis and were performed with the SPSS WIN 25.0 program.

RESULTS

Quality of life positively correlated with the duration of disease diagnosis and resilience and negatively correlated with age, age at onset, severity of symptoms, and interference in symptoms. Resilience was negatively correlated with severity of symptoms and interference with symptoms, and was positively correlated with post-traumatic growth. Hierarchical regression analysis showed that demographic and clinical factors explained 39.3% of the variance in quality of life in glioma patients. The explanatory power increased by 22.1% and 15.1%, respectively, when interference in symptoms and resilience were considered.

CONCLUSIONS

Assessment of quality of life in patients with glioma should consider symptoms and resilience, along with demographic and clinical factors. Interventions developed to improve quality of life in glioma patients must also consider these factors.