Grouping Together to Fight Cancer: The Role of WeChat Groups on the Social Support and Self-Efficacy

Information management of full-cycle inpatient bed reservation for cancer patients under the normalised prevention and control of the COVID-19 pandemic

BACKGROUND

During the prolonged COVID-19 pandemic, hospitals became focal points for normalised prevention and control. In this study, we investigated the feasibility of an inpatient bed reservation system for cancer patients that was developed in the department?s public WeChat account. We also explored its role in improving operational efficiency and nursing quality management, as well as in optimising nursing workforce deployment.

METHODS

We utilised WeChat to facilitate communication between cancer patients and health care professionals. Furthermore, we collected data on admissions, discharges, average number of hospitalisation days, bed utilisation rate, and the number of bed days occupied by hospitalised patients through the hospital information system and nurses? working hours and competency levels through the nurse scheduling system. The average nursing hours per patient per day were calculated. Through the inpatient bed reservation system, the number of accepted admissions, denied admissions, and cancelled admissions from the reservation system were collected. The impact of the bed reservation system on the department?s operational efficiency was analysed by comparing the number of hospitalisation discharges before and after reservations, as well as the average hospitalisation and bed utilisation rates. By comparing nurses? working hours per month and average nursing hours per patient per day, the system?s impact on nurses? working hours and nursing quality indicators was analysed.

RESULTS

The average hospitalisation length, bed utilisation rate, and nurses? working hours were significantly lower, and the average number of nursing hours per patient per day was significantly higher after the implementation of the reservation system. The full-cycle bed information management model for cancer patients did not affect the number of discharged patients.

CONCLUSION

Patients? ability to reserve bed types from home in advance using the department?s official WeChat-based inpatient bed reservation system allowed nurses to prepare for their work ahead of time. This in turn improved the operational efficiency of the department and nursing quality, and it optimised the deployment of the nursing workforce.

Analysis of the influential factors of the emotional health of patients with cancer based on the structural equation model: the role of social media and emotional support

PURPOSE

To explore the mental health status of patients with cancer and related influential factors and provide a scientific basis to reduce serious emotional problems, improve the quality of life of cancer survivors and adopt targeted interventions.

METHODS

A total of 517 patients who attended the oncology departments of six grade-A tertiary hospitals from July 2022 to September 2022 were selected by convenience sampling. The effects of emotional support, social media, patient-centred communication, health self-efficacy and cancer beliefs on the emotional well-being of patients with cancer were analysed based on the structural equation model.

RESULTS

A Spearman correlation analysis showed a significant positive correlation among the six latent variables (P<0.01). The structural equation model path analysis showed that health self-efficacy (β=0.374, P<0.001), cancer belief (β=0.214, P=0.003) and emotional support (β=0.104, P=0.031) all had positive effects on emotional health. The mediating effect results showed that cancer beliefs had a mediating effect on mental health in social media use (β=0.106, P=0.001), emotional support (β=0.028, P=0.002) and patient-centred communication (β=0.050, P=0.002). Further, health self-efficacy had mediating effects on mental health in emotional support (β=0.084, P=0.001) and patient-centred communication (β=0.098, P=0.001).

CONCLUSION

By constructing structural equation models, this study found that emotional support, cancer beliefs and health self-efficacy showed a positive effect on the emotional well-being of patients with cancer. Further, it found a mediating role of health cancer beliefs on the impact of emotional support, social media use and patient-centred communication on mental health. Additionally, health self-efficacy has a mediating role regarding the effects of emotional support and patient-centred communication on mental health.

Communication Mechanisms and Implications of the COVID-19 Risk Event in Chinese Online Communities

Based on the context of communication and use of online communities in China, this study explored the characteristics and defects of risk communication of the government and official media in the event of COVID-19, as well as the factors that affected people's perception of the risk and protective behavior. The following results were found: (1) The government and official (mainstream) media accounts suffered from information lag in the early stage of COVID-19, while self-media accounts played the role of risk sensors, which caused people to have less trust in the government and the authorities and turn to the truth on self-media accounts. However, the low accessibility of self-media accounts and the imperfect check mechanism provided a hotbed for rumors, which further led to more fear and worry about risks. (2) During the middle and later periods of COVID-19, the government and the official media began to pay attention to the influence of self-media on peoples' emotions and behavior, and gradually improved the supervision of online information and the operation of official media accounts. This is intended to achieve information consistently and link mechanisms between official media and self-media to prevent and correct mistakes, as well as to achieve effective risk communication of information transparency, opinion exchange, and public sentiment stabilization.