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[Evaluating hospital appropriateness with different tools: administrative data versus analytic review]
R Di Domenicantonio1, A Filocamo, G Baglio
1Agenzia di Sanità Pubblica Regione Lazio.
Annali Di Igiene : Medicina Preventiva E Di Comunita
|November 24, 2004
Summary
The study compared two hospital appropriateness tools, PRUO and APPRO. While PRUO showed high evaluator agreement, the APPRO method underestimated inappropriate hospitalizations, highlighting differences in their evaluation approaches.
Area of Science:
- Healthcare Management
- Health Services Research
- Medical Informatics
Background:
- The Appropriateness Protocol and Referral Opinion (PRUO) is a clinical tool for evaluating hospital appropriateness in Italy.
- The Administrative data-based Appropriateness (APPRO) method was developed to assess organizational appropriateness using administrative data and the All Patient Refined Diagnosis Related Groups (APR-DRG) classification system.
Purpose of the Study:
- To measure inter-evaluator agreement using the PRUO tool.
- To investigate the relationship between APR-DRG severity subgroups and PRUO assessments.
- To validate the APPRO method by comparing its performance against PRUO results.
Main Methods:
- Two physician pairs independently evaluated 361 hospital episodes (DRG 39) and 242 (DRG 183) using PRUO.
- The APPRO method estimated inappropriate hospitalizations using administrative data from the Lazio regional hospital information system.
- Inter-evaluator agreement was assessed using Cohen's kappa coefficient.
Main Results:
- High agreement was found between the two physician pairs using PRUO (k=0.93; p<0.0001).
- No significant association was observed between APR-DRG severity subgroups and inappropriate hospitalizations identified by PRUO.
- The APPRO method underestimated rates of inappropriate hospitalizations compared to PRUO.
Conclusions:
- The PRUO tool demonstrates reliable inter-evaluator agreement for assessing hospital appropriateness.
- The APPRO method, while utilizing routine data, tends to underestimate inappropriate hospitalizations due to its inherent characteristics and cautious approach.
- Further research is needed to reconcile the differences between clinical-based and administrative data-based appropriateness evaluation methods.