Care needs level in long-term care insurance system and family caregivers' self-perceived time-dependent burden in patients with home palliative care for cancer: a cross-sectional study

Cancer Hospice Caregivers' Self-care Behaviors: The Role of Caregiving Tasks, Burden, and Mental Health

Cancer hospice family caregivers provide intensive support for patients at the end of life, sometimes at the expense of self-care. This secondary analysis examined the role of caregiving burden, activities of daily living, and mental health on self-care behaviors among cancer hospice family caregivers. Logistic regression models were adjusted for sociodemographic and caregiver characteristics, and model fit was evaluated with Hosmer-Lemeshow tests. Participants (N = 86) were mostly women (n = 62, 72.09%), White (n = 76, 88.37%), and spousal caregivers (n = 44, 51.16%). Almost half reported not getting enough rest (47.67%), time to exercise (47.67%), or time to slow down and rest when feeling ill (46.51%). Caregivers with better mental health reported being more likely to have enough time to exercise (adjusted odds ratio [OR adj ], 1.15, [1.05, 1.26]; P = .004), rest (OR adj , 1.11, [1.01, 1.22]; P = .031), and slow down when ill (OR adj , 1.16, [1.04, 1.30]; P = .010). Controlling for sociodemographic and caregiver characteristics, men caregivers had 88% lower odds of being able to rest when ill (OR adj , 0.12, [0.03, 0.52]; P = .005) compared with women. Number of care tasks, not caregiving burden, was associated with self-care behaviors. Findings provide a preliminary understanding of factors related to caregiver self-care and have implications for increased assessment of caregiver mental health and self-care needs to better support family-oriented hospice care.

Predicting Long-Term Care Service Demands for Cancer Patients: A Machine Learning Approach

BACKGROUND

Long-term care (LTC) service demands among cancer patients are significantly understudied, leading to gaps in healthcare resource allocation and policymaking.

OBJECTIVE

This study aimed to predict LTC service demands for cancer patients and identify the crucial factors.

METHODS

3333 cases of cancers were included. We further developed two specialized prediction models: a Unified Prediction Model (UPM) and a Category-Specific Prediction Model (CSPM). The UPM offered generalized forecasts by treating all services as identical, while the CSPM built individual predictive models for each specific service type. Sensitivity analysis was also conducted to find optimal usage cutoff points for determining the usage and non-usage cases.

RESULTS

Service usage differences in lung, liver, brain, and pancreatic cancers were significant. For the UPM, the top 20 performance model cutoff points were adopted, such as through Logistic Regression (LR), Quadratic Discriminant Analysis (QDA), and XGBoost (XGB), achieving an AUROC range of 0.707 to 0.728. The CSPM demonstrated performance with an AUROC ranging from 0.777 to 0.837 for the top five most frequently used services. The most critical predictive factors were the types of cancer, patients' age and female caregivers, and specific health needs.

CONCLUSION

The results of our study provide valuable information for healthcare decisions, resource allocation optimization, and personalized long-term care usage for cancer patients.

Factors related to the quality of life of family cancer caregivers

Background

Cancer caregivers directly affect patient health outcomes. To maintain the function and health of caregivers so that patients can receive efficient care, we must pay more attention to caregivers' quality of life in the process of caring for patients. However, the factors influencing caregivers' quality of life are complex.

Aim

To assess caregivers' quality of life in the process of caring for cancer patients and to explore the factors associated with it.

Design

This was a descriptive correlational study. A self-report questionnaire was used to anonymously collect data from one Chinese cancer hospital. The Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being (FACIT-Sp-12), General Self-efficacy Scale (GSES), Positive and Negative Affect Schedule (PANAS), Connor-Davidson Resilience Scale 10 (CD-RISC-10), 24-item Caregiver Burden Inventory (CBI) and Caregiver Evaluation Questionnaire were used to measure caregivers' spiritual well-being, self-efficacy, affective well-being, resilience, caregiver burden and quality of life. One-way analysis of variance, the Kruskal-Wallis H test and multiple regression analysis were applied to measure the factors influencing caregivers' situations.

Setting and participants

A total of 315 caregivers of cancer patients were selected by convenience sampling. All participants were invited to complete the questionnaire through a one-on-one approach.

Results

The mean score for caregiver quality of life was 204.62 ± 36.61. After controlling for demographic factors, self-efficacy (β' = 0.265, p < 0.01), resilience (β' = 0.287, p < 0.01) and positive affect (β' = 0.103, p < 0.01) were protective factors for caregivers' quality of life. Negative affect (β' = -0.217, p < 0.01) and caregiver burden (β' = -0.219, p < 0.01) were negative factors. Notably, not all of these predictors can predict all dimensions of quality of life.

Conclusion

Caregivers' quality of life needs to be further improved. The results of this study may provide clues to help identify factors influencing caregivers' quality of life and implement targeted strategies to improve their quality of life.

Delivering Palliative and Supportive Care for Older Adults with Cancer: Interactions between Palliative Medicine and Geriatrics

The world's population is aging rapidly, with projections indicating that by 2050 one in six people will be aged ≥65 years. As a result, the number of cancer cases in older people is expected to increase significantly. Palliative care is an essential component of cancer care with a direct impact on quality of life. However, older adults with cancer often suffer from multiple comorbidities, cognitive impairment, and frailty, posing unique challenges in the delivery of palliative care. The complex healthcare needs of older patients with cancer therefore require a comprehensive assessment, including a geriatric evaluation. Collaboration between geriatrics and palliative care can offer a solution to the challenges faced by older people with cancer, since this is a population with overlapping concerns for both disciplines. This review highlights the importance of palliative care for older adults with cancer and the benefits of a multidisciplinary approach. It also addresses the coordination of palliative care and geriatrics for specific symptom management and decision making.

"It's a Tall Order but I'll Try": a qualitative study on Chinese nurses' cognition and experience responding to cancer patients' requests to hasten death

PURPOSE

The purpose of this study is to understand the cognition and experience of oncology nurses in China when responding to a patient's request to hasten death, to describe the obstacles that prevent their response, and to provide suggestions for dealing with the patient's request.

METHODS

Researchers conducted a qualitative study that consisted of open-ended, semi-structured interviews with 18 registered nurses who had more than 5 years of working experience in the oncology department at a large-scale urban hospital. We analyzed these data for content and themes.

RESULTS

How to deal with patients' requests to hasten death is a problem often encountered and handled by nurses in the Department of Oncology. Nurses have a certain understanding of the patients' requests to hasten death. This study abstracts four themes: (1) the nurses' cognition of the "Accelerate the process of death"; (2) the methods they use to deal with the patients' requests to hasten death; (3) the obstacles that prevent nurses from fulfilling the patients' requests to hasten death; and (4) their suggestions for improvement.

CONCLUSION

Nurses have a deep understanding of the real thoughts of patients who make a death request, and they hope to provide the corresponding psychological support and physical care. However, the lack of relevant knowledge, policy support, and cooperation of patients' families are obstacles that prevent them from taking action. Therefore, increasing relevant training for nurses, encouraging multi-department cooperation, and developing standardized nursing processes may lay a foundation for oncology nurses to better undertake and guide such conversations.