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

  • Author / Creator
    Yapp, Alvin KM
  • 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.

  • Subjects / Keywords
  • Graduation date
    2017-11:Fall 2017
  • Type of Item
    Thesis
  • Degree
    Master of Education
  • DOI
    https://doi.org/10.7939/R3PC2TP7W
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. 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.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Educational Psychology
  • Specialization
    • Measurement, Evaluation and Cognition
  • Supervisor / co-supervisor and their department(s)
    • Poth, Cheryl (Educational Psychology)
  • Examining committee members and their departments
    • Bulut, Okan (Educational Psychology)
    • Walton, Jennifer (Pediatrics)