Background Healthcare-associated infections have become a serious public health problem. Various types of information systems have begun to be applied in hospital infection prevention and control (IPC) practice. Clinicians are the key users of these systems, but few studies have assessed the use of infection prevention and control information systems (IPCISs) from their perspective. Objective This study aimed to (1) apply the extended DeLone and McLean Information Systems Success model (D&M model) that incorporates IPC culture to examine how technical factors like information quality, system quality, and service quality, as well as organizational culture factors affect clinicians’ use intention, satisfaction, and perceived net benefits, and (2) identify which factors are the most important for clinicians’ use intention. Methods A total of 12,317 clinicians from secondary and tertiary hospitals were surveyed online. Data were analyzed using partial least squares-structural equation modeling and the importance-performance matrix analysis. Results Among the technical factors, system quality (β=.089-.252; P<.001), information quality (β=.294-.102; P<.001), and service quality (β=.126-.411; P<.001) were significantly related to user satisfaction (R2=0.833), use intention (R2=0.821), and perceived net benefits (communication benefits [R2=0.676], decision-making benefits [R2=0.624], and organizational benefits [R2=0.656]). IPC culture had an effect on use intention (β=.059; P<.001), and it also indirectly affected perceived net benefits (β=.461-.474; P<.001). In the importance-performance matrix analysis, the attributes of service quality (providing user training) and information quality (readability) were present in the fourth quadrant, indicating their high importance and low performance. Conclusions This study provides valuable insights into IPCIS usage among clinicians from the perspectives of technology and organization culture factors. It found that technical factors (system quality, information quality, and service quality) and hospital IPC culture have an impact on the successful use of IPCISs after evaluating the application of IPCISs based on the extended D&M model. Furthermore, service quality and information quality showed higher importance and lower performance for use intention. These findings provide empirical evidence and specific practical directions for further improving the construction of IPCISs.
BackgroundTrauma, especially severe trauma, has become a significant public health problem worldwide. This postulates higher requirements on the core competence of trauma nurses. However, limited scales exist to assess it validly and reliably. This study aims to develop and evaluate the psychometric properties of the Trauma Nurse Core Competency Scale (TNCCS).MethodsThis study included three stages. First, scale development was based on a broad literature review and two rounds of Delphi expert consultation. Then, a pre-investigation was conducted with 106 trauma nurses, and a formal scale was formed. Finally, scale evaluation of reliability and validity, based on a cross-sectional study, was tested with 1,107 trauma nurses. Content validity and structure validity were used to evaluate the validity of TNCCS. The Cronbach's α coefficient and the split-half reliability coefficient were used to evaluate the reliability of TNCCS.ResultsThe final scale contained 46 items under three dimensions, which were Knowledge and skills (21 items), Comprehensive literacy (20 items), and Professionalism & physical and mental health (5 items). The Content Validity Index (CVI) of the total scale was 0.980. The goodness-of-fit indices (χ2/df = 3.547, RMSEA = 0.065, GFI = 0.929, CFI = 0.912, NFI = 0.904, IFI = 0.929) signified a good fit for this model. The Construct Reliability (CR) ranged from 0.89 to 0.98, and the Average Variance Extracted (AVE) ranged from 0.62 to 0.69. The Cronbach's α coefficient of the scale was 0.99, ranging from 0.90 to 0.98 for the subscales. The split-half reliability coefficient was 0.84.ConclusionsThe TNCCS demonstrated good validity and reliability, and it could be used to assess the core competency of trauma nurses. The present study has valuable implications for nursing managers to take corresponding measures to train and improve the core competence of trauma nurses.
Background The states of IPC (Infection Prevention and Control) is serious under the COVID-19 pandemic. Nosocomial infection reporting is of great significance to transparent management of IPC in regard to the COVID-19 pandemic. We aimed to explore the relationship between communication openness and nosocomial infection reporting, explore the mediating effect of team cohesion in the two, and provide evidence-based organizational perspective for improving IPC management in the hospitals. Method A questionnaire was used to collect data on communication openness, team cohesion and nosocomial infection reporting in 3512 medical staff from 239 hospitals in Hubei, China. Structural Equation Model (SEM) was conducted to examine the hypothetical model. Result Communication openness was positively related to nosocomial infection reporting (β = 0.540, p < 0.001), and was positively related to team cohesion (β = 0.887, p < 0.001). Team cohesion was positively related to nosocomial infection reporting (β = 0.328, p < 0.001). The partial mediating effect of team cohesion was significant (β = 0.291, SE = 0.055, 95% CI = [ 0.178,0.392 ]), making up 35.02% of total effect. Conclusion Communication openness was not only positively related to nosocomial infection reporting. Team cohesion can be regarded as a mediator between communication openness and nosocomial infection reporting. It implies that strengthening communication openness and team cohesion is the strategy to promote IPC management from the new organizational perspective.
Hand hygiene behavior (HHB) in healthcare settings remains suboptimal globally. Self-expectation leadership and organizational commitment are emphasized as important factors influencing HHB. However, there are no studies to support any relationship between self-expectation leadership and organizational commitment to HHB. This study will fill the gap by applying implicit leadership theory (ILT) to support the further promote HHB among medical staff. A cross-sectional study of 23,426 medical staff was conducted in all second-level and third-level hospitals in Hubei province, China. Based on ILT, an online self-administered and anonymous questionnaire was designed for measuring the medical staff’s self-expectation leadership, organizational commitment, and HHB based on Offermann’s 8 dimensions scale, Chang’s 3 dimensions scale, and the specification of hand hygiene for healthcare workers, respectively, in which self-expectation leadership was divided into positive traits and negative traits parts. The structural equation model was used to examine the direct, indirect, and mediating effects of the variables. Positive traits of self-expectation leadership had a positive effect on organizational commitment (β = 0.617, p < 0.001) and HHB (β = 0.180, p < 0.001). Negative traits of self-expectation leadership had a negative effect on organizational commitment (β = –0.032, p < 0.001), while a positive effect on HHB (β = 0.048, p < 0.001). The organizational commitment had a positive effect on HHB (β = 0.419, p < 0.001). The mediating effect of the organizational commitment showed positively between positive traits of self-expectation leadership and HHB (β = 0.259, p < 0.001), while negatively between negative traits of self-expectation leadership and HHB (β = –0.013, p < 0.001). Positive traits of self-expectation leadership are important predictors of promoting organizational commitment and HHB, while negative traits of self-expectation leadership have a limited impact on organizational commitment and HHB in the field of healthcare-associated infection prevention and control. These findings suggest the need to focus on positive traits of self-expectation leadership; although negative traits of self-expectation leadership can also promote HHB to a lesser degree among medical staff, it will reduce their organizational commitment.
Introduction:The results of laboratory testing are crucial basis for clinicians to prescribe antimicrobial. Laboratory testing is a highly complex process, and increasing evidence suggests that errors and obstacles in the pre-analytical process (PP) will affect reasonable antimicrobial use. However, PP was an easily neglected link in hospital infection management and the current situation of it and the influencing factors of management are not clear.Methods: A cross-sectional survey was conducted in the department of clinical, specimen collection, transportation, and inspection in 109 secondary and tertiary hospitals in Central China. The rate of antimicrobial susceptibility test request (AST) and related indexes of above departments were calculated to describe the situation. Management characteristics (frequency of training etc.) were described as proportions and fractional probit regression analysis was used to determine the influencing factors.Results: The average rate of non restricted-use antimicrobial was 63%, the restricted-use was 86%, the special-use was 95%. The zero obstacle rate of specimen collection was 27.3%, of specimen transportation was 19.4% and of inspection feedback was 61.7%. There was a difference between the secondary and tertiary hospitals on non restricted-use (X2=22.968, P<0.001); restricted-use (X2=29.466, P<0.001); special-use (X2=27.317, P<0.001). Taking non restricted-use as an example, training (95%CI 0.148,0.429), low-frequency appraisal (95%CI 0.082,0.224), guidance (95%CI 0.237,0.403) and information technology (95%CI 0.009,0.199) were positive factors.Conclusions: There were substantial differences in the rate of AST request in clinical department between secondary and tertiary hospitals. The zero obstacle rate in collection, transportation and inspection department were still low. In most departments, training and performance appraisal were positive factors, guidance and information technology were positive supporting factors.
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