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PMC Patient Severity Scale: derivation and validation.

作者信息

Young W W, Kohler S, Kowalski J

机构信息

Pittsburgh Research Institute, PA 15222-3099.

出版信息

Health Serv Res. 1994 Aug;29(3):367-90.

PMID:8063570
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1070010/
Abstract

OBJECTIVE

This study describes the derivation and validation of the Patient Management Category (PMC) Severity Scale, which provides a method of assessing the overall severity of a hospitalized patient's illnesses, based on the patient's unique clinical conditions, their interaction, and the resultant, combined risk of morbidity and mortality.

DATA SOURCES

Derivation of the PMC Severity Scale was based on clinical judgment together with empirical analysis of more than a half million patients discharged from acute care hospitals in Maryland during 1989. The scale was validated by using two distinct calendar years (1988 and 1990) of patients data from the same Maryland hospitals and a six-month patient database from California (1990).

STUDY DESIGN

The PMC Severity Scale is an ordinal scale with seven levels: Level 7 represents the greatest likelihood of death and major disease burden. The scale quantifies the severity of each of the patient's disease(s) and accounts for the effect of all coexisting conditions and complications.

DATA EXTRACTION METHODS

Publicly available, statewide all-payer claims databases were acquired from Maryland and California.

PRINCIPAL FINDINGS

The independent relationships between the PMC Severity Scale with mortality and with length of stay are statistically different across severity levels within each population tested, but the relationships are statistically similar over time. Further, the PMC Severity Scale was determined to be a stable predictor of mortality and LOS across two diverse geographic regions.

CONCLUSIONS

Since the severity of a patient's illness is one of the factors that influences the outcomes of care, the PMC Severity Scale can be used successfully as a risk adjustment tool in a variety of quality applications.

摘要

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本文引用的文献

1
Incorporating severity of illness and comorbidity in case-mix measurement.在病例组合测量中纳入疾病严重程度和合并症。
Health Care Financ Rev. 1984;Suppl(Suppl):23-31.
2
Validating risk-adjusted mortality as an indicator for quality of care.验证风险调整后的死亡率作为医疗质量指标的有效性。
Inquiry. 1993 Spring;30(1):6-22.
3
Relationship of physician ratings of severity of illness and difficulty of clinical management to length of stay.医生对疾病严重程度和临床管理难度的评分与住院时间的关系。
Health Serv Res. 1993 Feb;27(6):841-55.
4
Staging of disease. A case-mix measurement.疾病分期。一种病例组合测量方法。
JAMA. 1984 Feb 3;251(5):637-44.
5
Hospital inpatient mortality. Is it a predictor of quality?医院住院患者死亡率。它是质量的预测指标吗?
N Engl J Med. 1987 Dec 24;317(26):1674-80. doi: 10.1056/NEJM198712243172626.
6
A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.纵向研究中预后合并症分类的一种新方法:开发与验证
J Chronic Dis. 1987;40(5):373-83. doi: 10.1016/0021-9681(87)90171-8.
7
Flaws in mortality data. The hazards of ignoring comorbid disease.死亡率数据中的缺陷。忽视合并症的危害。
JAMA. 1988 Oct 21;260(15):2253-5.
8
Validity and reliability issues in alternative patient classification systems.
Med Care. 1988 Aug;26(8):800-13. doi: 10.1097/00005650-198808000-00006.
9
Severity of illness: concepts and measurements.疾病严重程度:概念与测量
Lancet. 1987 Dec 26;2(8574):1506-9. doi: 10.1016/s0140-6736(87)92633-x.
10
Identifying injuries and trauma severity in large databases.
J Trauma. 1990 Oct;30(10):1220-30. doi: 10.1097/00005373-199010000-00006.