Construction and Application of an Intelligent Module for Pressure Injury Nursing Management System
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 75,263
- 试验地点
- 1
- 主要终点
- Braden scale assessment timeliness rate(≤2hours from admission)
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Length of stay ≥ 2 hours after admission
排除标准
- •1: Terminal condition (expected survival time < 48 hours) 2: Refusal to participate in data collection
结局指标
主要结局
Braden scale assessment timeliness rate(≤2hours from admission)
时间窗: 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
时间窗: 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
时间窗: 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%.
次要结局
- Hospital-Acquired Pressure Injury (HAPI) Incidence Rate(The time frame for data collection is from January 2023 to December 2024, with data collected monthly.)
- Wound outcome classification(The time frame for data collection is from January 2023 to December 2024, with data collected annually.)
研究者
CHAO JING
Deputy Chief Nurse
Xiamen Humanity Hospital