Phoebe D Sharkey
Biographic Data
| ID | 5537221 |
|---|---|
| NAME | Phoebe D Sharkey |
| GIVEN NAMES | Phoebe D |
| FAMILY NAME | Sharkey |
| SIGNATURE | SHARKEY P D |
| AFFILIATIONS | Johns Hopkins University |
| ORCID | 0000-0001-9259-7286 |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1983 |
| LATEST PUBLICATION YEAR | 1991 |
| H-INDEX | 0 |
The Relationship Between Severity of Illness and Hospital Length of Stay and Mortality
To address the question of quantification of severity of illness on a wide scale, the Computerized Severity Index (CSI) was developed by a research team at the Johns Hopkins University. This article describes an initial assessment of some aspects of the validity and reliability of the CSI on a sample of 2,378 patients within 27 high-volume DRGs from five teaching hospitals. The 27 DRGs predicted 27% of the variation in LOS, while DRGs adjusted fo…
Psychiatric Severity of Illness
This study was undertaken to determine if a measure of severity of illness for psychiatric patients, the Psychiatric Severity of Illness Index, could produce psychiatric case mix groups that are more homogeneous with respect to resource use than the diagnosis-related groups (DRGs). Psychiatric Severity of Illness data were collected on 1,672 cases in ten hospitals of various types. Of these cases, 1,418 had enough information in the medical recor…
Severity of Illness Within DRGs
The authors assess the ability of the Severity of Illness Index to explain variability of resource use within each DRG. The data came from 15 hospitals, all of which had a HCFA DRG case mix index greater than 1. The data set comprised approximately 106,000 discharges, for which discharge abstract data, financial data, and Severity of Illness data were available. To pool the data over the 15 hospitals, the authors converted all charges to costs an…
Measuring Severity of Illness
In this article we evaluate a new severity of illness index for use in defining case mix groupings of hospitalized patients. We find that this index, which takes into account patient severity of illness, produces groups that are more homogeneous (with respect to total charges, length of stay, routine charges, and laboratory charges) than those produced by four other case mix grouping methods that do not reflect the total burden of the patient's i…
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Measuring Severity of Illness
In this article we evaluate a new severity of illness index for use in defining case mix groupings of hospitalized patients. We find that this index, which takes into account patient severity of illness, produces groups that are more homogeneous (with respect to total charges, length of stay, routine charges, and laboratory charges) than those produced by four other case mix grouping methods that do not reflect the total burden of the patient's i…
Severity of Illness Within DRGs
The authors assess the ability of the Severity of Illness Index to explain variability of resource use within each DRG. The data came from 15 hospitals, all of which had a HCFA DRG case mix index greater than 1. The data set comprised approximately 106,000 discharges, for which discharge abstract data, financial data, and Severity of Illness data were available. To pool the data over the 15 hospitals, the authors converted all charges to costs an…
Psychiatric Severity of Illness
This study was undertaken to determine if a measure of severity of illness for psychiatric patients, the Psychiatric Severity of Illness Index, could produce psychiatric case mix groups that are more homogeneous with respect to resource use than the diagnosis-related groups (DRGs). Psychiatric Severity of Illness data were collected on 1,672 cases in ten hospitals of various types. Of these cases, 1,418 had enough information in the medical recor…
The Relationship Between Severity of Illness and Hospital Length of Stay and Mortality
To address the question of quantification of severity of illness on a wide scale, the Computerized Severity Index (CSI) was developed by a research team at the Johns Hopkins University. This article describes an initial assessment of some aspects of the validity and reliability of the CSI on a sample of 2,378 patients within 27 high-volume DRGs from five teaching hospitals. The 27 DRGs predicted 27% of the variation in LOS, while DRGs adjusted fo…
Healthcare Policy and Management (4 works) · Medicine (4 works) · Severity of illness (4 works) · Illness severity (3 works) · Psychiatry (3 works) · Case mix index (2 works) · Economics (2 works) · Emergency and Acute Care Studies (2 works) · Homogeneous (2 works) · Index (typography) (2 works)