Abstract:
OBJECTIVE To construct an intervention tool for poor compliance of specimen collection and submission before the therapeutic use of antimicrobial agents.
METHODS An intervention tool for the poor compliance of specimen collection and submission before the therapeutic use of antimicrobial agents was developed through literature review, research group discussions, and two rounds of expert consultations.The tool was subsequently applied in clinical practice to verify its effectiveness.
RESULTS The authority coefficient of the consulted experts was 0.95, the feedback rate of the two rounds of expert consultations was 100.00%.The coefficients of variation of the two rounds of consultations were 14.77% and 8.60%, and Kendall′s Concordance Coefficients were 0.787 and 0.854(all P < 0.05).Finally, an intervention tool for the poor compliance of specimen collection and submission before the therapeutic use of antimicrobial agents was formed, which consisted of 2 first-level items, 9 second-level items, and 19 third-level items.After one round of intervention with this tool, the rates of specimen collection and submission before the therapeutic use of antimicrobial agents, the rates of pathogen detection related to healthcare-associated infections, and the rates of pathogen detection before the combined use of key drugs reached the expected targets (69.36%, 99.00% and 100.00%, respectively).
CONCLUSIONS The intervention tool for the poor compliance of specimen collection and submission before the therapeutic use of antimicrobial agents constructed based on the Delphi method demonstrates high reliability and practicality.It can be used to improve the behavior intervention of specimen collection and submission before the therapeutic use of antimicrobial agents.Moreover, it provides a reference for the intervention strategies in increasing the awareness of specimen collection and submission among the target population, ensuring the correct timing of specimen collection orders, and excuting medical orders at reasonable time nodes.