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[Using diagnosis relative groups mortality risk classification to assess medical quality].

Abstract

OBJECTIVE

To introduce diagnosis related groups to assess the medical quality and try to establish an effective quality evaluation approach.

METHODS

Using Australia-Refined Diagnosis Related Groups, version 5.0 (AR-DRGs v5.0) to classify the 160 000 discharged cases from 7 large hospitals in Beijing in 2005. Based on this, mortality risk classification was established to adjust the whole-hospital risks. And then hospital mortality of all the risk groups from each hospital was calculated respectively, which was used as the basic quality assessment criterion. The differences between the assessment results from using the raw hospital mortality and from using Diagnosis Relative Groups Mortality Risk Classification (DRGs-MRC) were compared.

RESULTS

(1) The risk types were different among the discharged cases in different hospitals; (2) The assessment results from these two approaches about No.6 hospital were similar in that No.6 hospital had a good quality performance; (3) The raw hospital mortality was the lowest in No.2 hospital (0.98%), but the mortality of low risk group in this hospital was higher than the average level of the same risk group among these 7 hospitals; the status of No.5 hospital was much the same.

CONCLUSION

Compared with raw hospital mortality, DRGs-MRC improved the comparability of cases and the reliability of the assessment result.

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  • Authors+Show Affiliations

    ,

    Department of Health Policy and Management, Peking University School of Public Health, Beijing 100083, China.

    , , , , ,

    Source

    MeSH

    China
    Diagnosis-Related Groups
    Female
    Hospital Mortality
    Hospitals, Public
    Humans
    Male
    Medical Records
    Quality Assurance, Health Care

    Pub Type(s)

    English Abstract
    Journal Article
    Research Support, Non-U.S. Gov't

    Language

    chi

    PubMed ID

    17440588

    Citation

    Jian, Wei-yan, et al. "[Using Diagnosis Relative Groups Mortality Risk Classification to Assess Medical Quality]." Beijing Da Xue Xue Bao. Yi Xue Ban = Journal of Peking University. Health Sciences, vol. 39, no. 2, 2007, pp. 145-8.
    Jian WY, Cui T, Wang HY, et al. [Using diagnosis relative groups mortality risk classification to assess medical quality]. Beijing Da Xue Xue Bao. 2007;39(2):145-8.
    Jian, W. Y., Cui, T., Wang, H. Y., Hu, M., Huang, Y. M., Zhang, X. M., & Guo, Y. (2007). [Using diagnosis relative groups mortality risk classification to assess medical quality]. Beijing Da Xue Xue Bao. Yi Xue Ban = Journal of Peking University. Health Sciences, 39(2), pp. 145-8.
    Jian WY, et al. [Using Diagnosis Relative Groups Mortality Risk Classification to Assess Medical Quality]. Beijing Da Xue Xue Bao. 2007 Apr 18;39(2):145-8. PubMed PMID: 17440588.
    * Article titles in AMA citation format should be in sentence-case
    TY - JOUR T1 - [Using diagnosis relative groups mortality risk classification to assess medical quality]. AU - Jian,Wei-yan, AU - Cui,Tao, AU - Wang,Hong-yuan, AU - Hu,Mu, AU - Huang,Yin-min, AU - Zhang,Xiu-mei, AU - Guo,Yan, PY - 2007/4/19/pubmed PY - 2008/6/7/medline PY - 2007/4/19/entrez SP - 145 EP - 8 JF - Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences JO - Beijing Da Xue Xue Bao VL - 39 IS - 2 N2 - OBJECTIVE: To introduce diagnosis related groups to assess the medical quality and try to establish an effective quality evaluation approach. METHODS: Using Australia-Refined Diagnosis Related Groups, version 5.0 (AR-DRGs v5.0) to classify the 160 000 discharged cases from 7 large hospitals in Beijing in 2005. Based on this, mortality risk classification was established to adjust the whole-hospital risks. And then hospital mortality of all the risk groups from each hospital was calculated respectively, which was used as the basic quality assessment criterion. The differences between the assessment results from using the raw hospital mortality and from using Diagnosis Relative Groups Mortality Risk Classification (DRGs-MRC) were compared. RESULTS: (1) The risk types were different among the discharged cases in different hospitals; (2) The assessment results from these two approaches about No.6 hospital were similar in that No.6 hospital had a good quality performance; (3) The raw hospital mortality was the lowest in No.2 hospital (0.98%), but the mortality of low risk group in this hospital was higher than the average level of the same risk group among these 7 hospitals; the status of No.5 hospital was much the same. CONCLUSION: Compared with raw hospital mortality, DRGs-MRC improved the comparability of cases and the reliability of the assessment result. SN - 1671-167X UR - https://www.unboundmedicine.com/medline/citation/17440588/abstract/Using_diagnosis_relative_groups_mortality_risk_classification_to_assess_medical_quality L2 - http://xuebao.bjmu.edu.cn/EN/Y2007/V39/I2/145 DB - PRIME DP - Unbound Medicine ER -