首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Hospital staff education on severe sepsis/septic shock and hospital mortality: an original hypothesis
Authors:Maurizia Capuzzo  Marco Rambaldi  Giovanni Pinelli  Manuela Campesato  Antonia Pigna  Marco Zanello  Maria Barbagallo  Massimo Girardis  Elena Toschi
Institution:1. Department of Anaesthesia, The Rotunda Hospital Dublin, Parnell Square, Dublin 1, Ireland
2. Royal College of Surgeons in Ireland, Dublin, Ireland
3. School of Medicine and Medical Sciences, University College Dublin, Dublin, Ireland
4. Mater Misericordiae University Hospital, Dublin, Ireland
Abstract:

Background

The Functional Comorbidity Index (FCI) was recently developed to predict physical function in acute lung injury patients using comorbidity data. Our objectives were to determine: (1) the inter-rater reliability of the FCI collected using in-patient discharge summaries (primary objective); and (2) the accuracy and predictive validity of the FCI collected using hospital discharge summaries and admission records versus complete chart review (secondary objectives).

Methods

For reliability, we evaluated the FCI’s intraclass correlation coefficient (ICC) among trained research staff performing data collection for 421 acute lung injury patients enrolled in a prospective cohort study. For validity and accuracy, we compared the detection of FCI comorbidities across three types of inpatient medical records, and the association of the respective FCI scores obtained with patients’ SF-36 physical function subscale (PFS) scores at 1-year follow-up.

Results

Inter-rater reliability was near-perfect (ICC 0.91; 95% CI 0.89-0.94). Hospital admission records and discharge summaries (vs. complete chart review) significantly underestimated the total FCI score. However, using multivariable linear regression, FCI scores collected using each of the three types of inpatient medical records had similar associations with PFS, suggesting similar predictive value.

Conclusions

Data collection using in-patient discharge summaries represents a reliable and valid method for collecting FCI comorbidity information.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号