Adverse Events Among Hospitalized Patients in China

July 10, 2026 updated by: Wei Jiang, Peking Union Medical College Hospital

Adverse Events Among Hospitalized Patients: A Multicenter Evaluation of Four Detection Methods

The goal of this observational study is to learn about the incidence and characteristics of adverse events (AEs) among hospitalized patients in China and to compare 4 commonly used methods for detecting these events. The main questions it aims to answer are:

How common are AEs among hospitalized patients, and what are their characteristics (types, severity, and preventability) in China? How do 4 commonly used methods, including the Harvard Medical Practice Study (HMPS), Global Trigger Tool (GTT), Patient Safety Indicators (PSIs), and incident reporting systems (IRSs), compare in detecting AEs? Researchers review randomly selected medical records from 5 hospitals in China to identify AEs, assess their type, severity, and preventability, and evaluate the performance of the 4 detection methods.

Study Overview

Status

Active, not recruiting

Conditions

Study Type

Observational

Enrollment (Actual)

2807

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Beijing Municipality
      • Beijing, Beijing Municipality, China, 100730
        • Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

The study population consisted of inpatient admissions to 5 participating public general hospitals in Beijing, China, during 2024. Eligible admissions were identified according to predefined inclusion and exclusion criteria. Stratified random sampling was used, with sample sizes allocated in proportion to hospital admission volumes. Within each site, eligible admissions were randomly selected with equal selection probabilities. The final study sample included 2,843 admissions.

Description

Inclusion Criteria:

  • age ≥18 years and a length of stay of at least 24 hours

Exclusion Criteria:

  • Patients admitted primarily for psychiatric disorders, palliative care, or rehabilitation were excluded.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Adverse event incidence
Time Frame: During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge.
The proportion of admissions with at least one adverse event.
During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Types of adverse event
Time Frame: During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge
During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge
Preventability of adverse event
Time Frame: During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge
Adverse event with 6-point Likert scale scores ≥4 were considered preventable.
During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge
Severity of adverse events
Time Frame: During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge
Severity was graded using the National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP) classification.
During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge
Sensitivity of adverse event detection methods
Time Frame: After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
Admission-level sensitivity was calculated for the Harvard Medical Practice Study (HMPS), Global Trigger Tool (GTT), Patient Safety Indicators (PSIs), and incident reporting systems (IRSs).
After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
Specificity of adverse event detection methods
Time Frame: After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
Admission-level specificity was calculated for the Harvard Medical Practice Study (HMPS), Global Trigger Tool (GTT), Patient Safety Indicators (PSIs), and incident reporting systems (IRSs).
After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
Positive predictive value (PPV) of adverse event detection methods
Time Frame: After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
Admission-level positive predictive value (PPV) was calculated for the Harvard Medical Practice Study (HMPS), Global Trigger Tool (GTT), Patient Safety Indicators (PSIs), and incident reporting systems (IRSs).
After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
Negative predictive value (NPV) of adverse event detection methods
Time Frame: After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
Admission-level negative predictive value (NPV) was calculated for the Harvard Medical Practice Study (HMPS), Global Trigger Tool (GTT), Patient Safety Indicators (PSIs), and incident reporting systems (IRSs).
After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 28, 2025

Primary Completion (Actual)

March 11, 2026

Study Completion (Estimated)

October 1, 2026

Study Registration Dates

First Submitted

July 6, 2026

First Submitted That Met QC Criteria

July 10, 2026

First Posted (Actual)

July 15, 2026

Study Record Updates

Last Update Posted (Actual)

July 15, 2026

Last Update Submitted That Met QC Criteria

July 10, 2026

Last Verified

July 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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