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: JMIR Public Health and Surveillance

Date Submitted: May 25, 2026
Date Accepted: Jul 28, 2026

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

Performance of an Electronic Sentinel Surveillance System for Bacterial Gastroenteritis: Mixed Methods Evaluation Study

Song I, Heo Y, Jo M, Park Jy, Ryu S, Kim DS

Performance of an Electronic Sentinel Surveillance System for Bacterial Gastroenteritis: Mixed Methods Evaluation Study

JMIR Public Health Surveill 2026;12:e102373

DOI: 10.2196/102373

Performance of an Electronic Sentinel Surveillance System for Bacterial Gastroenteritis in South Korea: Mixed-Methods Evaluation Study

  • Inmyung Song; 
  • Yerin Heo; 
  • Minsol Jo; 
  • Jung-yeon Park; 
  • Sukhyun Ryu; 
  • Dong-Sook Kim

ABSTRACT

Background:

Bacterial gastroenteritis is a sizable public health burden worldwide. South Korea is no exception. In 2023, the disease made up half of all gastroenteritis cases notified to the Korea Disease Control and Prevention Agency (KDCA). For monitoring, the country has run an electronic sentinel surveillance system (SSS) since 2000, and 211 sentinel hospitals currently cover 11 bacterial gastroenteritis infections. Even so, the system has gone more than two decades without a comprehensive evaluation.

Objective:

We aimed to test, in three parts, how the South Korean electronic SSS for bacterial gastroenteritis is doing: its operational performance, its data quality, and how well its output agrees with nationwide National Health Insurance (NHI) medical claims data.

Methods:

This was a retrospective evaluation. Three data streams fed the analysis: a semi-structured survey sent to all 211 sentinel hospitals between July and August 2024; a structured interview with the KDCA operator responsible for routine system operation; and NHI medical claims data covering the entire Korean population for 2021 and 2023. We applied the KDCA evaluation framework, itself adapted from the US Centers for Disease Control and Prevention (CDC) guidelines, to assess simplicity, acceptability, timeliness, completeness, claims-based concordance as a proxy for sensitivity, and representativeness. Pearson correlation coefficients quantified concordance with NHI claims and age-based and geographical representativeness.

Results:

Of the 211 sentinel hospitals invited, 180 returned completed questionnaires (response rate 81.8%). Of these, 90.0% rated the reporting process as simple or adequate; 83.8% rated overall satisfaction as neutral or good. The delayed reporting proportion fell from 2.4% in 2021 to 1.1% in 2023, with on-time completeness at 98.4%. The Pearson correlation between SSS-reported cases and NHI claims was 0.937 in 2023, up from 0.899 in 2021. For age-based representativeness, the 0–6 year group showed the strongest agreement (0.969 in 2021 and 0.982 in 2023; both P < .001). Geographical allocation representativeness correlations were 0.946 (2021) and 0.951 (2023; P < .001).

Conclusions:

South Korea’s electronic SSS for bacterial gastroenteritis works well on simplicity, timeliness, and on-time completeness, and its output agrees closely with nationwide NHI claims. Two areas still need attention: acceptability at sentinel hospitals, and structured training for KDCA operators. Looking ahead, periodically triangulating electronic sentinel reports with administrative claims data offers a low-burden way to keep an eye on reporting consistency, representativeness, and possible underreporting. The Korean experience may also be useful to other countries setting up similar systems. Clinical Trial: N/A


 Citation

Please cite as:

Song I, Heo Y, Jo M, Park Jy, Ryu S, Kim DS

Performance of an Electronic Sentinel Surveillance System for Bacterial Gastroenteritis: Mixed Methods Evaluation Study

JMIR Public Health Surveill 2026;12:e102373

DOI: 10.2196/102373

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.