The Relationship Between Patient Safety Culture and the Intentions of the Nursing Staff to Report a Near-Miss Event During the COVID-19 Crisis.

BACKGROUND: Reporting a near-miss event has been associated with better patient safety culture. PURPOSE: To examine the relationship between patient safety culture and nurses' intention to report a near-miss event during COVID-19, and factors predicting that intention. METHODS: This mixed-methods study was conducted in a tertiary medical center during the fourth COVID-19 waves in 2020-2021 among 199 nurses working in COVID-19-dedicated departments. RESULTS: Mean perception of patient safety culture was low overall. Although 77.4% of nurses intended to report a near-miss event, only 20.1% actually did. Five factors predicted nurses' intention to report a near-miss event; the model explains 20% of the variance. Poor departmental organization can adversely affect the intention to report a near-miss event. CONCLUSIONS: Organizational learning, teamwork between hospital departments, transfers between departments, and departmental disorganization can affect intention to report a near-miss event and adversely affect patient safety culture during a health crisis.

Hospital staff members' preferences about who should be prioritized to receive the COVID-19 vaccine: People with or without Alzheimer's disease?

Background There is no doubt that people with dementia can greatly benefit from the COVID-19 vaccine, especially as they are at an increased risk of developing severe complications, including long hospitalizations and high mortality rates, as a result of being infected by the virus. However, they might need the encouragement of health professionals to become vaccinated. Professionals' preferences regarding vaccination for this group are, therefore, extremely important to increase the use of this preventive measure. Aims 1. To examine hospital staff members' preferences for COVID-19 vaccination to people with or without Alzheimer's disease (AD) while differentiating between a young and an old person with the disease. 2. To examine the factors associated with these preferences. Methods A cross-sectional survey using a structured and anonymous self-report questionnaire was conducted among a sample of 278 Israeli medical staff (nurses, physicians, and paraprofessionals) working at a general hospital. The data were collected in August 2021. Results Overall, the majority (68.4%) of participants chose the 80-year-old patient with a diagnosis of AD to be the last to receive the vaccine. The percentage of participants who preferred to give the vaccine first to the 55-year-old patient with AD was almost equal to the percentage of those who preferred giving the vaccine first to the 80-year-old patient who was cognitively intact. Religion and beliefs about susceptibility to contracting COVID-19 were significantly associated with participants' preferences. Conclusion Our results suggest that hospital staff members find it difficult to decide whether age or cognitive status should be the main factor in deciding which patient should receive the vaccine first. Therefore, there is a need to implement several policy and practical steps in hospitals to assist the medical staff in such decision-making processes.

Examining hospital staff members' preferences for allocating a ventilator to a COVID-19 patient with and without Alzheimer's disease.

The COVID 19 pandemic has led to an increase in the number of patients in need of ventilation. Limitations in the number of respirators may cause an ethical problem for the medical and nursing staff in deciding who should be connected to the available respirators.  We conducted a cross-sectional survey among a convenience sample of 278 healthcare professionals at one medical center. They were asked to rank their preference in respirator allocation to three COVID-19 patients, one 80 years old with no cognitive illness, one 50 years old with Alzheimer's disease (AD), and one 80 years old with AD. Most respondents (75%) chose the 80-year-old AD patient as last preference, but were evenly divided on how to rank the other two patients. Medical staff have difficulty deciding whether age or cognitive status should be the deciding factor ventilator allocation. Determination of a set policy would help professionals with these decisions.