Project Details
Abstract
Background: Most previous studies of predictors of health care utilization and mortality in
people with diabetes have focused on metabolic profiles and diabetes complications. Few
studies have examined the impact of diabetes self-care behaviors on health care utilization and
mortality. From the health promotion perspective, for people with diabetes it remains unclear
whether diabetes self-care behaviors, such as self-monitoring of blood glucose, adhering to a
medication schedule, foot care, having a healthy diet, and controlling weight, reduce their
health care utilization and mortality.
Objective: The objectives of this study are shown as followed.
First year: To investigate self-monitoring of blood glucose and its associated factors among
diabetes. Moreover, we like to explore the association between self-monitoring
of blood glucose and other diabetes self-care behaviors.
Second year: To examine the association between self-monitoring of blood glucose and
other self-care behaviors and health care utilization among diabetes.
Third year: To examine the association between self-monitoring of blood glucose and other
self-care behaviors and mortality among diabetes.
Method: This is a prospective study. The study population included participants in the
National Health Interview Survey (NHIS) in Taiwan in 2005. Those individuals aged 18 and
above with diabetes confirmed by physicians will be included in this study. Of the potential
participants, those who provided consent for data linkage to 2005-2006 claims data from the
Bureau of National Health Insurance could be obtained, will be eligible for analysis to explore
the association between diabetes self-care behaviors and health care utilization in the present
study. Deaths will be verified by indexing to the National Register of Deaths with a personal
identification number.
Statistical analysis: Logistic regression analysis will be performed to assess the association
between self-monitoring of blood glucose and its associated factors in diabetes. Negative
binomial regression and Generalized linear models will be used to estimate the parameters
specified in the health care utilization model. Multivariate Cox’s proportional hazards models
will be used to examine the association between diabetes self-care behaviors and mortality.
We used the SAS (SAS Institute, Cary, NC)-callable SUDAAN (RTI Inc., Research Triangle
Park, NC) for all analyses.
Project IDs
Project ID:PF9907-7028
External Project ID:NSC99-2410-H182-007
External Project ID:NSC99-2410-H182-007
Status | Finished |
---|---|
Effective start/end date | 01/08/10 → 31/07/11 |
Keywords
- Portfolio insurance
- Constant proportion portfolio insurance (CPPI)
- Time invariant portfolio protection (TIPP)
- Optimal multiple
- Genetic algorithm
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.