Food Safety Knowledge, Attitudes, and Self-Reported Practices Among Medical Staff in China Before, During and After the COVID-19 Pandemic

Food safety knowledge attitude and practices of oncology nurses, in Lebanese hospitals

Background

Cancer patients undergoing chemotherapy treatment, have a higher risk to foodborne infections as compared to other populations. Oncology nurses, having a direct significant contact with these patients, could be the first information source concerning food safety and play a pivotal role in reducing these risks.

Objective

This study aims to assess the level of knowledge regarding food safety among oncology nurses, as well as their attitudes and practices in private hospitals in Lebanon.

Methods

A self-administered questionnaire was filled by Oncology nurses (n = 134) working in eighteen private hospitals in Lebanon located in Mount Lebanon (n = 11) and Beirut (n = 7).

Results

Overall, oncology nurses scored 76%, 95%, 86.9% and 83.4% on the knowledge, attitude, and practices questions, and overall composite knowledge, attitude, practices (KAP) score, respectively. Knowledge scores were higher among nurses holding a graduate degree (mean = 85; p < 0.05), and those who attended a training course (mean = 79; p < 0.05). Attitude scores of nurses who read brochures were higher (p < 0.001). Attending conferences on food safety showed statistically significant effect on better practice scores (p < 0.001).

Conclusion

Accordingly, the findings highlight the need to develop standardized food safety curriculum and training necessary to allow oncology nurses to contribute to the education of cancer patients and decrease their risk of foodborne infection.

Health-related quality of life in Chinese medical staff: a latent profile analysis

Objective

To investigate subgroups of health-related quality of life (HRQoL) in the Chinese medical staff and identify the demographic factors associated with these profiles.

Methods

574 Chinese medical staff were surveyed online. HRQoL was measured by using the 36-Item Short Form Health Survey, Version 2. Latent profile analysis (LPA) was used to identify the profiles of HRQoL. The associations between HRQoL profiles and covariates were assessed using multinomial logistic regression.

Results

Three HRQoL profiles were developed: low HRQoL at 15.6%, moderate HRQoL at 46.9%, and high HRQoL at 37.6%. Multinomial logistic regression showed night shift times, aerobic exercise conditioning, and personality type significantly predicted the profile membership.

Conclusion

Our findings develop earlier approaches that only used total scores to evaluate this group's HRQoL and help them with tailored interventions to promote better HRQoL.