Related Experiment Video
Updated: May 24, 2025
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Correlation Between Diagnosis-Related Group Weights and Nursing Time in the Cardiology Department: Cross-Sectional
Chen Lv1, Yi-Hong Gong2, Xiu-Hua Wang1
1Department of Nursing, Beijing Chest Hospital, Capital Medical University, Beijing, China.
Insights
Diagnosis-related group (DRG) weights strongly correlate with nursing time in cardiology. This finding can help predict nursing needs and optimize resource allocation.
Area of Science:
- Healthcare Management
- Nursing Informatics
- Medical Economics
Background:
- Diagnosis-related group (DRG) payments are increasingly central to medical expense settlements.
- Understanding factors influencing nursing workload is crucial for efficient healthcare delivery.
Purpose of the Study:
- To investigate the relationship between DRG weights and nursing time in a cardiology department.
- To develop a predictive model for nursing time using DRG weights and other patient-specific factors.
Main Methods:
- Convenience sampling of 103 cardiology patients at Beijing Chest Hospital (April 2023-April 2024).
- Measurement of direct and indirect nursing time.
- Analysis using Pearson correlation and multiple linear regression.
Main Results:
- DRG weights positively correlated with direct, indirect, and total nursing time (P<.001).
- Age, nursing level, and complications/comorbidities also influenced nursing time.
- Activities of Daily Living (ADL) score on admission was negatively correlated with nursing time.
Conclusions:
- DRG weight is a significant predictor of nursing time in cardiology.
- The findings support using DRG weights for improved nursing resource allocation.
- This predictive model can enhance operational efficiency in cardiology wards.
Background:
Diagnosis-related group (DRG) payment has become the main form of medical expense settlements, and its application is becoming increasingly extensive.
Objective:
This study aimed to explore the correlation between DRG weights and nursing time and to develop a predictive model for nursing time in the cardiology department based on DRG weights and other factors.
Methods:
A convenience sampling method was used to select patients who were hospitalized in the cardiology ward of Beijing Chest Hospital between April 2023 and April 2024. Nursing time was measured by direct and indirect nursing time. To determine the distributions of nursing time based on different demographics, a Pearson correlation was used to analyze the relationship between DRG weight and nursing time, and a multiple linear regression was used to determine the influencing factors of total nursing time.
Results:
A total of 103 subjects were included in this study. The DRG weights were positively correlated with direct nursing time (r=0.480; P<.001), indirect nursing time (r=0.394; P<.001), and total nursing time (r=0.448; P<.001). Moreover, age was positively correlated with the 3 nursing times (direct: r=0.235; indirect: r=0.192; total: r=0.235; all P<.001). The activities of daily living (ADL) score on admission was negatively correlated with the 3 nursing times (direct: r=-0.316; indirect: r=-0.252; total: r=-0.301; all P<.001). In addition, the nursing level on the first day of admission was positively correlated with the 3 nursing times (direct: r=0.333; indirect: r=0.332; total: r=0.352; all P<.001). Furthermore, the multivariate analysis found that the nursing level on the first day of admission, complications or comorbidities, DRG weight, and ADL score on admission were the influencing factors of nursing time (R2=0.328; F5,97=69.58; P<.001).
Conclusions:
DRG weight showed a strong correlation with nursing time and could be used to predict nursing time, which may assist in nursing resource allocation in cardiology departments.
More Related Videos
06:03Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
Published on: February 6, 2020
04:05Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
Related Concept Videos
01:22Nursing Diagnosis
The nursing diagnosis focuses on evidence-based...
01:26Imbalances in Cardiac Output
CHF can occur due to the failure of either side of the heart. Left-side failure leads to pulmonary congestion—the right side continues to send...
01:23Assessment of the Cardiovascular System I: Subjective Data
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
01:27Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
Medical History
01:10Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
01:25Role of Communication in the Nursing Process I: Assessment and Diagnosis
The nursing process considers the patient's emotional and physical well-being. The process can be repeated or stopped at any point if judged essential. Assessment is the first step in the nursing...