Biomedical subjects

E Sawitz

Publications and source records attributed to E Sawitz.

5 recordsLinked to original sources

PubMed1996

The importance of comorbidities in explaining differences in patient costs.

OBJECTIVES: The authors examine to what extent comorbidities contribute to differences in patient hospital costs. METHODS: The medical record data for this study were collected from 15 metropolitan Boston hospital for 4,439 patients admitted mostly in 1985 for one of eight common conditions. Massachusetts hospital discharge abstract data for 1985 and 1993 also were used. Comorbidities were identified from the medical record for the 15-hospital data set and from discharge abstracts for all cases. Stepwise regression models were used to develop comorbidity scores. RESULTS: Across all conditions, the medical record-based comorbidity score increased the R2 value from .42 in a model with diagnosis-related groups alone to .50. In condition-specific analyses, including the comorbidity score increased the R2 by more than 50% in six of eight conditions, and was more important than several other dimensions of severity in explaining condition-specific costs. When comorbidities were determined from discharge abstract data rather than medical records, only approximately half as much comorbidity was found. Also, there was much less explanatory power: the all-condition R2 only went from .42 to .44. However, a comorbidity score developed from statewide hospital discharge abstract data was more useful in explaining variations in charges in the eight condition-specific analyses conducted on patients 65 years and older. CONCLUSIONS: Comorbidities, particularly when determined from the medical record, are important determinants of patient costs.

Adolescent↗

PubMed1990

Illness severity and costs of admissions at teaching and nonteaching hospitals.

This research examined the hypothesis that greater severity of illness explains the higher costs of hospitalizations at teaching compared with nonteaching hospitals. Medical records of 4439 cases within eight common conditions were reviewed at five tertiary teaching, five other teaching, and five nonteaching hospitals in metropolitan Boston, Mass. We assessed acute physiologic status, severity of the principal diagnosis, comorbidities, and functional status. The principal diagnosis was more severe for teaching hospital patients in four conditions, but few significant differences were found for the other severity dimensions by condition. Across all conditions combined, except for functional status, severity was significantly higher at teaching hospitals, but the absolute differences were small. After adjusting for diagnosis related groups, costs were higher at tertiary teaching compared with other teaching and nonteaching hospitals. Further adjusting for severity and other patient characteristics explained 18% (90% confidence interval, 4 to 33) of the higher costs at tertiary compared with nonteaching hospitals.

Boston↗

PubMed1989

Adjusting Medicare capitation payments using prior hospitalization data.

The diagnostic cost group approach to a reimbursement model for health maintenance organizations is presented. Diagnostic information about previous hospitalizations is used to create empirically determined risk groups, using only diagnoses involving little or no discretion in the decision to hospitalize. Diagnostic cost group and other models (including Medicare's current formula and other prior-use models) are tested for their ability to predict future costs, using R2 values and new measures of predictive performance. The diagnostic cost group models perform relatively well with respect to a range of criteria, including administrative feasibility, resistance to provider manipulation, and statistical accuracy.

Capitation Fee↗

PubMed1988

Coding of acute myocardial infarction. Clinical and policy implications.

STUDY OBJECTIVE: To evaluate the appropriateness of diagnostic coding of acute myocardial infarction across teaching and nonteaching hospitals. DESIGN: Retrospective review of a random sample of medical records to find evidence of the occurrence and active treatment of acute myocardial infarction during the admission. SETTING: Five tertiary teaching, five other teaching, and five nonteaching hospitals in metropolitan Boston. CASES: Random sample of hospital admissions assigned a discharge diagnosis of acute myocardial infarction between October 1984 and September 1985. MEASUREMENT AND MAIN RESULTS: Of the 1003 cases reviewed, 260 did not meet the clinical criteria for acute myocardial infarction. At tertiary hospitals, 175 (41.7%) failed to qualify, compared with 25 (9.1%) at nonteaching facilities. In a large fraction of the disqualified cases, the patients had been admitted to exclude the diagnosis of acute myocardial infarction; although explicitly "ruled out," an acute myocardial infarction code was assigned. Sixty-six cases from teaching hospitals did not qualify because the patient had been admitted only for coronary angiography after an uneventful postmyocardial infarction course. Almost one-third of these patients had had their infarcts from 5 to 8 weeks before the angiography admission. CONCLUSIONS: Cases with an inappropriate discharge diagnosis of acute myocardial infarction may be concentrated in teaching hospitals. This finding could have implications for Medicare's diagnosis-related group payment system and governmental and other research efforts that use these data for such purposes as drawing inferences about the quality of hospital care.

Boston↗

PubMedDate not supplied

The use of in-hospital physician services for acute myocardial infarction. Changes in volume and complexity over time.

Changes between 1972 and 1982 in the use of in-hospital services were studied for 164 patients admitted with acute myocardial infarction. Resource use was measured in constant 1982 dollars adjusted for differences in clinical severity of the patients. Although average length of stay decreased by almost 40% during this period, the number of physician services doubled and total physician costs increased almost threefold. The increase in physician costs was due primarily to the use of complex diagnostic technologies and to the provision of coronary artery bypass graft surgery. The results of this study suggest that as hospital costs are constrained by prospective payment, physician costs may continue to rise as new diagnostic and therapeutic services are introduced into practice and as more care is shifted to the outpatient setting.

Aged↗