Data Science and Precision Oncology Nursing: Creating an Analytic Ecosystem to Support Personalized Supportive Care across the Trajectory of Illness

Cardio-Oncologic Knowledge of Nurses in the Oncology Service: A Multi-Center Survey in China

Purpose

Elucidation of the cardio-oncologic knowledge among the oncology nurses of tertiary hospitals in Shanxi Province to provide better insights and directions for management by nursing managers.

Background

China's National Health and Wellness Commission issued the Action Plan for Further Improving Nursing Services in June 2023, which requires nurses to provide patients with physical and mental holistic nursing services, such as medical care, condition observation, assistance with treatment, and health guidance. Most oncology patients are treated with chemotherapy, but the modality can cause greater harm to patients, especially cardiotoxicity. How to provide precise care for chemotherapy patients is a problem for nursing managers.

Methods

In order to investigate the level of cardio-oncologic knowledge among the oncology nurses of tertiary care hospitals in Shanxi Province, China, a questionnaire was created based on the relevant literature and the provided instructions on cardio-oncology. The chi-squared test was performed for multiple comparisons of the level of knowledge of disease observation, health guidance, and implementation of treatment. Spearman correlation analysis was performed to analyze the correlation between the levels of cardio-oncologic knowledge and general information of hospitals and nurses.

Results

Cardio-oncology awareness among the oncology nurses was 0.1%-44.7%, the awareness rate of single dimension was 0 to 3.9%, and overall awareness rate was 0. A partially significant difference was revealed in the two-by-two comparisons of the awareness rates of the three dimensions of disease observation, health guidance, and implementation of treatment (P < 0.05). A correlation was observed between the cardio-oncologic knowledge and some of the hospital and the nurses' general information data (P < 0.05).

Conclusion

Oncology nurses exhibited a low rate of awareness related to cardio-oncology. Hospitals could establish oncology nursing teams to train the oncology nurses to promote their cardio-oncologic knowledge and ensure the quality of daily care provided by these nurses.

A latent class analysis of resilience and its association with patient-reported symptoms in patients with esophageal cancer after esophagectomy

Purpose

To identify the latent classes of resilience in patients with esophageal cancer after esophagectomy and develop a deeper understanding of the association between these classes and patient-reported symptoms.

Background

China accounts for more than half of the global burden of esophageal cancer, and patients with esophageal cancer experience numerous symptoms that affect their quality of life and prognosis. Given that resilience is a key element that alleviates the progression of symptoms, it may represent a potential means of to enhancing cancer patients' physical and psychological well-being.

Methods

The study was implemented in the thoracic surgery departments of three tertiary hospitals in eastern China. The participants were patients who were still hospitalized after esophagectomy. Data were gathered by self-report questionnaires, and a latent class analysis was utilized to identify different categories of resilience among the patients.

Results

A total of 226 patients were recruited. The three classes of resilience identified included high strength and striving (53.5%), medium resilience but weak self-recovery (35.9%), and minimal tenacity and external support (10.6%). Patients with low income (OR = 12.540, p = 0.004) were more likely to be in the minimal tenacity and external support class. Patients without comorbidities (OR = 2.413, p = 0.013) and aged 66-70 years (OR = 4.272, p < 0.001) were more likely to be in the high strength and striving class. The patient-reported symptoms and symptom-related interference of patients after esophagectomy varied considerably among the three categories of resilience.

Conclusion

Accurate interventions should be devised and executed according to the features of each type of resilience in patients after esophagectomy to maximize intervention efficacy. These findings highlight the important role of precision nursing.