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.
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.
Study Type
OBSERVATIONAL
Enrollment
75,263
Xiamen Humanity Hospital
Xiamen, Fujian, China
Braden scale assessment timeliness rate(≤2hours from admission)
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%
Time frame: The time frame for data collection is from January 2023 to December 2024, with data collected monthly.
Braden Assessment omission rate
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
Time frame: The time frame for data collection is from January 2023 to December 2024, with data collected monthly.
Accuracy rate in PI staging determination
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%.
Time frame: The time frame for data collection is from January 2023 to December 2024, with data collected monthly.
Hospital-Acquired Pressure Injury (HAPI) Incidence Rate
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%.
Time frame: The time frame for data collection is from January 2023 to December 2024, with data collected monthly.
Wound outcome classification
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%
Time frame: The time frame for data collection is from January 2023 to December 2024, with data collected annually.
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