A study to evaluate the implications of cost burden on anti-microbial resistance(AMR) using data analytics techniques.
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 1,320
- 试验地点
- 1
- 主要终点
- Difference in total spending to treat an infection and length of stay between three groups.
研究概览
简要总结
The main objective of the study is to:
To study the impact of AMR on attributable cost and length of stay (LOS) in hospitalized patient. To develop predictive model for the outcomes in patients with Antimicrobial resistant infection. To assess the correlation between the antibiotic’s usage and bacterial resistance pattern in a tertiary care hospital setting.Total sample size would be 1320. Patient will be divided into 3 categories: Susceptible, Resistance, and multi-resistant group and the outcome of interest will be compared using various machine learning algorithms.
Currently recruited 142 patients.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 90.00 Year(s)（—）
- 性别
- All
入选标准
- •Both Community acquired and hospital Acquired Infection Patients, Both Gram positive and Gram Negative Infections, Multiple infections and/or multiple site of infections, Direct cost.
排除标准
- •Incomplete susceptibility data, Incomplete financial data, Indirect cost.
结局指标
主要结局
Difference in total spending to treat an infection and length of stay between three groups.
时间窗: Every 6 months the cost expenditure and length of stay will be analysed using data analytics techniques.
Resistant bacterial species which caused the additional cost burden and LOS in patients.
时间窗: Every 6 months the cost expenditure and length of stay will be analysed using data analytics techniques.
次要结局
- Total antibiotic use and resistance pattern will be observed.(Every 6 months the pattern of bacterial resistance will be observed.)