Influencing Factors and Symbiotic Mechanism of the Integration of Medical and Disease Prevention during the COVID-19 Pandemic: A Cross-Sectional Survey of Public Hospital Employees (preprint)

Background: The COVID-19 outbreak has accelerated the huge difference between medical care and disease prevention in Chinese medical institutions. This study aimed to investigated the relationship between the symbiotic units, environments, models, and effects of the integration of medical and disease prevention. Methods: This cross-sectional study involved 762 employees of public hospitals in 11 cities in Zhejiang Province by random stratified sampling. We analyzed the influence paths of elements in the mechanism of integration of medical and disease prevention and the mediating effect of symbiotic models among symbiotic units, symbiotic environments, and effects for on this integration. Results: The path coefficient of symbiotic unit on the symbiosis model was 0.46 (p<.001), the path coefficient of symbiotic environment on symbiosis model was 0.52 (p<.001). The path coefficient of the symbiotic unit and environment was 0.91 (p<.001). The symbiotic models exhibited a partial mediation effect between symbiotic units and the effect of this integration. Sobel test = 3.27, β = 0.152, and the mediating effect accounted for 34.6%. Conclusions: It is suggested that Health policy-makers and public hospital managers should provide sufficient symbiotic units, establish collaborative symbiotic models, and improve the effects of integration of medical and disease prevention in public hospitals.

Analysis of clinical characteristics of 25 patients with novel coronavirus pneumonia

This study summarizes the patient's admission data in order to reinforce this illness recognition of the clinical aspects of 25 patients afflicted with COVID-19 pneumonia.

Development and Validation of the Competency Evaluation Model for Hospital Infection Prevention and Control Practitioners in the Post-Pandemic Era: A Mixed Methods Study (preprint)

Background This study was undertaken to determine the practitioners' competence in relation to the hospital infection prevention and control measures that is significant for their professional development as well as to ascertain their role in the prevention and control activities against nosocomial infection. During the current COVID-19 pandemic situation, the hospital infection management has become crucial, which has necessitated the urgency of developing a competency model for healthcare practitioners to combat public health emergencies.Method: On the basis of literature review, the key informant interviews, the Delphi method and the questionnaire survey, a theoretical framework and an assessment tool consisting of 26 items were developed. These items were evaluated based on response rate, maximum score, minimum score, and mean score. Factor analyses, both exploratory and confirmatory, were used to determine the structure of the competence model. Measurement invariance of the instruments was determined to ensure that the variables used for the analyses were of similar constructs across the study groups.Results The effective response rate on the questionnaires was 88.29%, and the Cronbach's α-coefficient of the scale was 0.964. Factor analysis revealed a KMO of 0.945. The Bartlett's test gave an χ² of 10523.439 (df = 435; p < 0.001). After exploratory factor analysis, the 5-factor model was retained, 4 items were deleted, and a 5-dimensional, 26-item scale was obtained. The new structure's confirmatory factor analysis revealed a high goodness of fit (CFI = 0.933; TLI = 0.925; SRMSR = 0.053; and RMSEA = 0.040). The difference between the indexes of the 2 regions was significant at < 0.1, which confirmed measurement invariance across the regions.Conclusion The scale was found to be highly reliable, valid, and credible. Therefore, it can serve as an effective tool for assessing the competencies of hospital infection prevention and control practitioners.