Which method best catches hospital errors? study puts four to the test

NCT ID NCT07705204

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing This study
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jul 15, 2026 · Last updated Jul 16, 2026 · Updated 1 time

Summary

This observational study looks at how common adverse events (medical errors or complications) are among hospitalized adults in China and compares four different ways to detect them. Researchers review medical records from five hospitals to identify events, assess their severity and preventability, and evaluate methods like trigger tools and incident reporting systems. The goal is to find the most reliable detection approach to improve patient safety.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this study could identify the most effective way to detect adverse events in hospitals, leading to better patient safety practices.
What could go wrong
As an observational study, it does not test a new intervention, so it cannot directly improve safety. Results may vary across different hospital settings.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

2,807 people

The number who actually took part.

Started

Aug 2025

Expected to finish

Oct 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

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.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

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.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College

    Beijing, Beijing Municipality, 100730, China

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