Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: May 7, 2024
Date Accepted: Mar 25, 2025

The final, peer-reviewed published version of this preprint can be found here:

Barriers and Enablers to Using a Mobile App–Based Clinical Decision Support System in Managing Perioperative Adverse Events Among Anesthesia Providers: Cross-Sectional Survey in China

Feng X, Li P, Zhao R, Li W, Zhu T, Hao X, Chen G

Barriers and Enablers to Using a Mobile App–Based Clinical Decision Support System in Managing Perioperative Adverse Events Among Anesthesia Providers: Cross-Sectional Survey in China

J Med Internet Res 2025;27:e60304

DOI: 10.2196/60304

PMID: 40359508

PMCID: 12117274

Barriers and Enablers to Utilizing a Mobile Application-based Clinical Decision Support System in Managing Perioperative Adverse Events Among Anesthesia Providers: A Cross-Sectional Survey in China

  • Xixia Feng; 
  • Peiyi Li; 
  • Renjie Zhao; 
  • Weimin Li; 
  • Tao Zhu; 
  • Xuechao Hao; 
  • Guo Chen

ABSTRACT

Background:

The global health landscape is significantly impacted by perioperative adverse events. The emergence of information technology, particularly clinical decision support systems, offers promising solutions for addressing these challenges. Effective implementation and optimization of these systems hinge on understanding the experiences and perspectives of anesthesia providers in reporting and management.

Objective:

This study aims to evaluate the knowledge, attitudes, and willingness to adopt a mobile application based clinical decision support system for managing perioperative adverse events among anesthesiologists and nurse anesthetists in China.

Methods:

Guided by the CHERRIES (Checklist for Reporting Results of Internet E-Surveys) reporting guidelines, we developed a questionnaire based on the Knowledge, Attitudes, and Practices theory to collect data anonymously. Univariable and multivariable analyses were used to examine factors associated with the level of knowledge, attitudes, and willingness to adopt this system. Nurse anesthetists were also separately analyzed for sensitivity.

Results:

This survey was conducted from September 5 to December 31, 2023, involving 2,440 anesthesia professionals across China, including 2,226 anesthesiologists and 214 nurse anesthetists. Only 39.2% (956/2,440) of respondents expressed satisfaction with existing incident management systems, while 87.3% (2,130/2,440) of participants, demonstrated a strong willingness to adopt this system. This included 87.5% (1,947/2,226) anesthesiologists and 85.5% (183/214) nurse anesthetists. Multivariable regression analysis revealed that factors such as females (coefficient = 0.19, P = .003), higher education, and lack of experience with informatics tools (coefficient = 0.29, P < .001) were associated with greater knowledge. Conversely, nurse anesthetists (coefficient = -0.76, P < .001) and those dissatisfied with current systems (coefficient = -0.51, P = .007) exhibited lower awareness. Negative attitudes toward PAE management were notably prevalent among older individuals (coefficient = -0.13, P < .001), females (coefficient = -0.66, P < .001), nurse anesthetists (coefficient = -1.12, P = .003), and respondents without prior incidents encounters (coefficient = -0.97, P < .001). Anesthesia practitioners in Southwest China (coefficient = 0.10, P = .048), those with a favorable attitude (coefficient = 0.06, P < .001), and individuals dissatisfied (coefficient = 0.32, P < .001) or neutral (coefficient = 0.11, P = .02) about current systems showed a higher propensity to adopt the innovative system. In contrast, infrequent departmental discussions about incidents (coefficient = -0.08, P = .01) were identified as a negative factor affecting practice willingness.

Conclusions:

This study highlights the need for and significance of developing a mobile application based clinical decision support system, and reveals potential barriers and enablers to using this innovative system in managing perioperative adverse events. Drawing from these insights, local authorities, healthcare facilities, anesthesia departments, and technology developers should devise customized strategies considering their unique attributes, which is essential for improving perioperative incident reporting and enhancing the safety of surgical patients. Clinical Trial: Not Applicable.


 Citation

Please cite as:

Feng X, Li P, Zhao R, Li W, Zhu T, Hao X, Chen G

Barriers and Enablers to Using a Mobile App–Based Clinical Decision Support System in Managing Perioperative Adverse Events Among Anesthesia Providers: Cross-Sectional Survey in China

J Med Internet Res 2025;27:e60304

DOI: 10.2196/60304

PMID: 40359508

PMCID: 12117274

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.