Literature DB >> 15608938

[Potential uses of AP-DRG to describe the health care profile in hospital units].

Marina Ferreira de Noronha1, Margareth Crisóstomo Portela, Maria Lúcia Lebrão.   

Abstract

The All Patient Diagnosis Related Groups (AP-DRG) provide a classification system for general hospital inpatients, aggregating hospitalizations based on resource use and clinical criteria. The different versions of the AP-DRG have been applied to inpatient care management and reimbursement. This paper aimed to describe the classification and explore the potential for generating information on inpatient care management based on data from the Ribeirão Preto region (Sao Paulo State, Brazil) in 1997, including public, private, and charity hospitals. We compared average length of stay related to DRGs in the Ribeirão Preto region and the United States. Using the relative cost weights of the AP-DRGs constructed for New York State, we verified the profile of inpatient care provided by 30 hospitals in the Ribeirão Preto region, and reimbursement for hospital care provided to patients referred from other municipalities and covered by the Unified National Health System (SUS). Our findings indicate the applicability of the classification to inform the decision-making process on inpatient care regionalization and organization in levels of complexity, as well as for improvement of inpatient care monitoring and reimbursement.

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Year:  2004        PMID: 15608938     DOI: 10.1590/s0102-311x2004000800019

Source DB:  PubMed          Journal:  Cad Saude Publica        ISSN: 0102-311X            Impact factor:   1.632


  2 in total

1.  How to Make Diagnosis Related Groups Payment More Feasible in Developing Countries- A Case Study in Shanghai, China.

Authors:  Zhaoxin Wang; Rui Liu; Ping Li; Chenghua Jiang; Mo Hao
Journal:  Iran J Public Health       Date:  2014-05       Impact factor: 1.429

2.  Exploring the transition to DRGs in Developing Countries: A case study in Shanghai, China.

Authors:  Zhaoxin Wang; Rui Liu; Ping Li; Chenghua Jiang
Journal:  Pak J Med Sci       Date:  2014-03       Impact factor: 1.088

  2 in total

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