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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Main Authors: Beata Strack, Jonathan P. DeShazo, Chris Gennings, Juan L. Olmo, Sebastian Ventura, Krzysztof J. Cios, John N. Clore
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2014/781670
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spelling 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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