Establishing quality evaluation system of nursing management in fever clinics: A Delphi method

Abstract

Aim: The aim of this study is to construct a quality evaluation system for fever clinic nursing management.Background: Fever clinic is the first line of defence against the epidemic during COVID-19 in China.Methods: Our study combines the Delphi method and the analytic hierarchy process.Delphi method was used to carry out two rounds of consultation for 18 experts, to select and revise indicators at all levels. Analytic hierarchy process was used to calculate the weight of indicators at all levels.Results: A quality evaluation system of nursing management for fever clinics is built using Delphi method. It includes five first-level indexes, 14 second-level indexes and 82 third-level indexes. A two-round expert consultation is used to build the indicators.The recovery rates of expert questionnaires in the two rounds were, respectively, 100% and 94%, and expert authority coefficients were 0.925. The Kendall coefficients in the two rounds were, respectively, 0.205 and 0.162 (P < .001). The weight analysis shows that health management of nursing staff (0.2803) and disinfection isolation and treatment of medical waste (0.2803) are most important, followed by nursing post management and personnel training (0.1889), configuration and management of equipment (0.1427) and patient consultation management and nursing (0.1078). Conclusion:The quality evaluation system of nursing management in the constructed fever clinic is used to put forward a specific, objective and quantifiable evaluation criteria of nursing quality for fever clinic management, which can better meet the needs of epidemic prevention and control, and has a certain application and promotion value.Implications for Nursing Management: The establishment and improvement of a quality system for fever clinic care management will help to respond to outbreaks such as COVID-19.

Identifying strategic human resource management ability in the clinical departments of public hospitals in China: a modified Delphi study

“…The expert authority coefficient was represented by Cr, which is the arithmetic mean of the judgement coefficient (Ca) and degree of familiarity (Cs), namely, Cr=(Ca+Cs)/2. 50 The higher the expert authority is, the higher the predictive accuracy of the index. A Cr value greater than 0.7 is considered to indicate acceptable reliability.…”

Construction of nursing‐sensitive quality indicators for cardiac catheterisation: A Delphi study and an analytic hierarchy process

“…To understand the relative importance of each indicator, we adopted the analytic hierarchy process (AHP) to come to an agreement on the relative weight of each indicator (Byun et al, 2021; Yang et al, 2021; Zhao et al, 2021). A comparison matrix was built after the NSQIs were finalised.…”

“…• Nursing managers can use these indicators to monitor the dynamic change process of nursing quality in cardiac catheterisation in clinical practice. weight of each indicator (Byun et al, 2021;Yang et al, 2021;Zhao et al, 2021). A comparison matrix was built after the NSQIs were finalised.…”

Impact and management of drooling in children with neurological disorders: an Italian Delphi consensus

“…The correct diagnostic and therapeutic approaches to this condition require further investigations [2,3,5]. In such a scenario, due to the lack of firm evidence, a major role is acquired by experts' opinion, which can be addressed through consensus approaches, such as the Delphi Panel, a methodology increasingly used also in the field of pediatrics [9][10][11][12][13].…”