Adverse Events Among Hospitalized Patients in China
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
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Beijing Municipality
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Beijing, Beijing Municipality, China, 100730
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
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
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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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.
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The proportion of admissions with at least one adverse event.
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During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge.
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Secondary Outcome Measures
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
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During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge
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|
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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
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Adverse event with 6-point Likert scale scores ≥4 were considered preventable.
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During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge
|
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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
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Severity was graded using the National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP) classification.
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During the index admission, including review of relevant prior hospitalization records and all available records through 30 days after discharge
|
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Sensitivity of adverse event detection methods
Time Frame: After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
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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).
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After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
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Specificity of adverse event detection methods
Time Frame: After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
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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).
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After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
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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
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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).
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After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
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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
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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).
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After completion of AE screening, adjudication, and re-review of randomly sampled screen-negative admissions
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- I-25PJ1969
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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