Evaluating an Intelligent Module for Pressure Injury Nursing Management
- Conditions
- Pressure Injury
- Registration Number
- NCT07208747
- Lead Sponsor
- Xiamen Humanity Hospital
- Brief Summary
This is a study conducted in a hospital to evaluate whether applying an intelligent information technology can help nurses better prevent and manage bedsores (also known as pressure injuries) in hospitalized patients. Bedsores are a serious skin problem for patients who are bedridden for long periods. The researchers will compare the situation before and after using the intelligent program to see if it has an impact on the occurrence and outcomes of pressure injuries. We invite eligible hospitalized patients to participate. Participants' nursing data will be anonymously recorded and analyzed to evaluate the effectiveness of this intelligent program.
- Detailed Description
Background：Pressure injuries are common nursing complications in clinical practice, and their occurrence can reduce patients' quality of life, affect rehabilitation, and increase medical costs. This project aims to utilize information technology to build a comprehensive and intelligent pressure injury care management platform, providing scientific evidence for clinical decision-making and supporting standardized management of pressure injuries and improvement in nursing quality.
Objective：To construct an intelligent module for the pressure injury nursing management system and to explore its application effects in pressure injury management.
Methods：Based on the hospital nursing information system, an intelligent module was constructed to achieve functions such as intelligent decision-making for pressure injury risk assessment, intelligent staging judgment, visual online assessment and review, outcome tracking，and home care linkage, as well as monitoring quality control indicators.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 75263
- Length of stay ≥ 2 hours after admission
- 1: Terminal condition (expected survival time < 48 hours) 2: Refusal to participate in data collection
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Braden scale assessment timeliness rate(≤2hours from admission) The time frame for data collection is from January 2023 to December 2024, with data collected monthly. 1.Number of newly admitted patients assessed within 2 h: The system automatically pulls timestamps from the Nursing Management System-start time = patient's arrival timestamp; end time = nurse's submission timestamp of the Braden assessment. Records with an interval ≤ 2 h are counted as "timely." 2.Total newly admitted patients in the period: The system extracts the total number of patients who completed admission procedures. 3.Formula:Braden Risk Assessment Timeliness Rate = (number of newly admitted patients assessed within 2 h ÷ total newly admitted patients in the period) × 100%
Braden Assessment omission rate The time frame for data collection is from January 2023 to December 2024, with data collected monthly. 1.The required assessments based on the patient's Braden score: ≥19 (no risk): once on admission and once on discharge 15-18 (low risk): once per week 13-14 (moderate risk): twice per week (re-assessed on Tuesday and Friday) 10-12 (high risk): once per day 0-9 (very high risk): once per nursing shift (three shifts) Actual assessments: The assessments recorded in the nursing system. Missed assessments= required assessments - actual assessments 2.Formula:Braden Assessment Omission Rate =Missed assessments (required count - actual count) ÷ Required count
Accuracy rate in PI staging determination The time frame for data collection is from January 2023 to December 2024, with data collected monthly. 1.The system automatically pulls from the Nursing Management Information System all in-hospital and community-acquired pressure injury (PI) reports submitted every month. The wound-care specialists then identify-per NPUAP/EPUAP staging criteria-those records whose initial stage was judged "incorrect." 2.Total Reports: The system simultaneously extracts the total number of all PI reports submitted during the same month. 3.Formula: PI staging accuracy (%) = (correctly staged cases ÷ total reported cases) × 100%.
- Secondary Outcome Measures
Name Time Method Hospital-Acquired Pressure Injury (HAPI) Incidence Rate The time frame for data collection is from January 2023 to December 2024, with data collected monthly. 1."Monthly incident cases": Automatically extracted each month from the Nursing Management System-counts all newly acquired pressure injuries that have been reported during the month. "Total inpatient episodes for the same period": Simultaneously extracted the total cumulative inpatient episodes for the month, including transfers and deaths; same-day readmissions are counted only once. 3.Formula: Hospital-acquired pressure injury incidence (%) = (monthly new hospital-acquired cases ÷ monthly total inpatient episodes) × 100%.
Wound outcome classification The time frame for data collection is from January 2023 to December 2024, with data collected annually. 1\. Annual wound outcome records: The system automatically pulls the wound outcome fields (healed / improved / unchanged / deteriorated) for all discharged patients with PIs in per year. 2.Total number of PI patients: The sum of all hospital-acquired plus community-acquired pressure injury cases in the same year, denoted as N. 3.Formula: • Healing rate (%) = (number of healed cases ÷ N) × 100% Improvement rate (%) = (number of improved cases ÷ N) × 100% Unchanged rate (%) = (number of unchanged cases ÷ N) × 100% Deterioration rate (%) = (number of deteriorated cases ÷ N) × 100%
Trial Locations
- Locations (1)
Xiamen Humanity Hospital
🇨🇳Xiamen, Fujian, China
Xiamen Humanity Hospital🇨🇳Xiamen, Fujian, China