Horvat, Christopher
(2017)
Use of structured electronic health record data to evaluate temporal trends and risk factors in the management of childhood diabetic ketoacidosis.
Master Essay, University of Pittsburgh.
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Abstract
Importance Diabetic ketoacidosis (DKA) is the most serious acute complication of Type 1 diabetes. Detailed clinical data harbored by electronic health record (EHR) databases can be used to assess the impact of DKA performance improvement initiatives and generate novel disease insights. Objectives To examine trends in DKA outcomes surrounding performance improvement initiatives and identify clinical characteristics associated with treated cerebral edema. Design, Setting and Methods The EHR database at our tertiary children’s hospital was interrogated using a business intelligence platform to identify patients admitted with DKA between April 2009 and May 2016. Multivariable regression using robust standard errors to cluster patients with multiple encounters was used to examine temporal trends in the incidence of hypoglycemia, treated cerebral edema, central line placement, development of severe hyperchloremia, head computed tomography utilization, and hospital length of stay. Trends in outcomes surrounding several performance improvement initiatives were examined. Results Central line placement, head computed tomography utilization and the incidence of severe hyperchloremia decreased significantly throughout the study period. Performance improvement initiatives were significantly associated with decreasing hospital length of stay and reduced variability in length of stay among patients with severe DKA. Systolic blood pressure at presentation and during hospitalization was significantly associated with treatment for cerebral edema after adjusting for other biochemical indicators of disease severity. Discussion In this large, retrospective cohort of children with DKA derived from an EHR database, system-level changes in management were significantly associated with improved outcomes. This study demonstrates the potential of EHR data to meet simultaneous quality improvement and research goals of health systems seeking to improve population and public health. Further study is necessary to clarify the relationship between blood pressure and cerebral edema in this population.
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Details
| Item Type: |
Other Thesis, Dissertation, or Long Paper
(Master Essay)
|
| Status: |
Unpublished |
| Creators/Authors: |
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| Contributors: |
| Contribution | Contributors Name | Email | Pitt Username | ORCID  |
|---|
| Committee Chair | Castle, Nicholas | castlen@pitt.edu | UNSPECIFIED | UNSPECIFIED | | Committee Member | Clark, Robert | clarkrs@ccm.upmc.edu | UNSPECIFIED | UNSPECIFIED |
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| Date: |
20 April 2017 |
| Date Type: |
Submission |
| Publisher: |
University of Pittsburgh |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
School of Public Health > Health Policy & Management |
| Degree: |
MHA - Master of Health Administration |
| Thesis Type: |
Master Essay |
| Refereed: |
Yes |
| Date Deposited: |
12 Jul 2017 19:00 |
| Last Modified: |
05 Sep 2024 15:58 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/31410 |
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