Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records
Management of hyperglycemia in hospitalized patients has a significant bearing on outcome, in terms of both morbidity and mortality. However, there are few national assessments of diabetes care during hospitalization which could serve as a baseline for change. This analysis of a large clinical datab...
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Online Access: | http://dx.doi.org/10.1155/2014/781670 |
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doaj-84e677f794fe48de91092e2a154f4a122020-11-24T20:58:44ZengHindawi LimitedBioMed Research International2314-61332314-61412014-01-01201410.1155/2014/781670781670Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient RecordsBeata Strack0Jonathan P. DeShazo1Chris Gennings2Juan L. Olmo3Sebastian Ventura4Krzysztof J. Cios5John N. Clore6Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USADepartment of Health Administration, Virginia Commonwealth University, Richmond, VA 23298, USADepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA 23298, USADepartment of Computer Science and Numerical Analysis, University of Cordoba, 14071 Cordoba, SpainDepartment of Computer Science and Numerical Analysis, University of Cordoba, 14071 Cordoba, SpainDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USADepartment of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USAManagement of hyperglycemia in hospitalized patients has a significant bearing on outcome, in terms of both morbidity and mortality. However, there are few national assessments of diabetes care during hospitalization which could serve as a baseline for change. This analysis of a large clinical database (74 million unique encounters corresponding to 17 million unique patients) was undertaken to provide such an assessment and to find future directions which might lead to improvements in patient safety. Almost 70,000 inpatient diabetes encounters were identified with sufficient detail for analysis. Multivariable logistic regression was used to fit the relationship between the measurement of HbA1c and early readmission while controlling for covariates such as demographics, severity and type of the disease, and type of admission. Results show that the measurement of HbA1c was performed infrequently (18.4%) in the inpatient setting. The statistical model suggests that the relationship between the probability of readmission and the HbA1c measurement depends on the primary diagnosis. The data suggest further that the greater attention to diabetes reflected in HbA1c determination may improve patient outcomes and lower cost of inpatient care.http://dx.doi.org/10.1155/2014/781670 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Beata Strack Jonathan P. DeShazo Chris Gennings Juan L. Olmo Sebastian Ventura Krzysztof J. Cios John N. Clore |
spellingShingle |
Beata Strack Jonathan P. DeShazo Chris Gennings Juan L. Olmo Sebastian Ventura Krzysztof J. Cios John N. Clore Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records BioMed Research International |
author_facet |
Beata Strack Jonathan P. DeShazo Chris Gennings Juan L. Olmo Sebastian Ventura Krzysztof J. Cios John N. Clore |
author_sort |
Beata Strack |
title |
Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records |
title_short |
Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records |
title_full |
Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records |
title_fullStr |
Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records |
title_full_unstemmed |
Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records |
title_sort |
impact of hba1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6133 2314-6141 |
publishDate |
2014-01-01 |
description |
Management of hyperglycemia in hospitalized patients has a significant bearing on outcome, in terms of both morbidity and mortality. However, there are few national assessments of diabetes care during hospitalization which could serve as a baseline for change. This analysis of a large clinical database (74 million unique encounters corresponding to 17 million unique patients) was undertaken to provide such an assessment and to find future directions which might lead to improvements in patient safety. Almost 70,000 inpatient diabetes encounters were identified with sufficient detail for analysis. Multivariable logistic regression was used to fit the relationship between the measurement of HbA1c and early readmission while controlling for covariates such as demographics, severity and type of the disease, and type of admission. Results show that the measurement of HbA1c was performed infrequently (18.4%) in the inpatient setting. The statistical model suggests that the relationship between the probability of readmission and the HbA1c measurement depends on the primary diagnosis. The data suggest further that the greater attention to diabetes reflected in HbA1c determination may improve patient outcomes and lower cost of inpatient care. |
url |
http://dx.doi.org/10.1155/2014/781670 |
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