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Permanent link (DOI): https://doi.org/10.7939/R3PC2TP7W

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An Investigation of Integrating Program- and System-level Datasets for Examining Relationships Among Variables of a Complex Health System Open Access

Descriptions

Other title
Subject/Keyword
evaluation
emergency department
integrated dataset
lifestyle intervention
clinical significance
metabolic syndrome
clinical interpretation
health evaluation
primary care
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Yapp, Alvin KM
Supervisor and department
Poth, Cheryl (Educational Psychology)
Examining committee member and department
Bulut, Okan (Educational Psychology)
Walton, Jennifer (Pediatrics)
Department
Department of Educational Psychology
Specialization
Measurement, Evaluation and Cognition
Date accepted
2017-05-04T14:26:21Z
Graduation date
2017-11:Fall 2017
Degree
Master of Education
Degree level
Master's
Abstract
The potential for integrated program- and system-level datasets for generating previously inaccessible evaluative insights remains untapped. This study, situated within a yearlong evaluation of a lifestyle intervention program for patients with metabolic syndrome (MetS), provides an illustrative example of using an integrated dataset to identify relationships among the different levels of healthcare and examining the statistical findings with key informant interviews to extended interpretations beyond statistical significance towards clinical significance. The analysis of the program-level dataset revealed that the lifestyle intervention program was an effective treatment for MetS, while the additional analysis of the system-level dataset found an increase in patients’ ED utilization post-enrolment. Further, the new evaluative insight from the integrated dataset of no significant relationship among the clinical indicators and ED utilization begins to situate the program within the larger system context, suggesting some relationship between lifestyle intervention programs and ED utilization unrelated to clinical indicators. In so doing, this study advances a design for evaluating health programs with implications for enhancing program-level evaluations within complex health systems through integration of system-level datasets, and for increasing clinical validity of evaluation findings through inclusion of clinical experts as members of the evaluation team.
Language
English
DOI
doi:10.7939/R3PC2TP7W
Rights
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
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