Date of Award


Degree Name

PhD Nursing

Dissertation Committee

Joseph F. Burkard, DNSc, CRNA, Chairperson; Ruth A. Bush, PhD, MPH, FAMIA; Jonathan Mack, PhD, RN, NP


Health Information Technology, Disease Self-management, Task-Technology Fit.


Background: The rapid growth of Health Information Technologies (HITs) provides

patients with greater opportunity to take control over their health. HITs utilization has

been proven to be a critical component of disease self-management and can result in

positive outcomes. Its widespread adoption and utilization is still relatively low among

patients with chronic disease. It is important to understand the factors that may impact

HITs utilization, such as the perceived Task-Technology Fit (TTF). A very limited

number of studies have examined the relationship between HITs utilization and the

perceived fit between task and technology in the context of TTF theory.

Aims/ Purpose: The purpose of this study was to explore the factors that impact patient utilization of HITs for disease self-management. We examined the relationships between patient demographics and their utilization of HITs in relation to disease self-management and TTF.

Methods and Design: A quantitative descriptive correlational research design was used for this data-based study. Data from the most recent Health Information National Trends Survey (HINTS 5, cycle 2) collected in 2018 was used for this study, (N= 3,504).

Results: Sociodemographic disparities still exist among patient groups in terms of HITs

utilization for disease self-management. Patients with lower education attainment and

lower income were less likely to access their online medical records. Also, these study

findings show a significant positive relationship between perceived TTF and patient

utilization of the various HITs. Open communication and discussions with healthcare

provider remain the most frequently reported HIT attribute associated with patient

utilization of HITs for disease self-management.

Implications: Findings of this study may inform a better understanding of TTF factors.

This new knowledge may influence HITs developers to include the patient perspective in

future designs. These study findings may also assist researchers in developing tailored

interventions that are driven by the unique individual patient technological needs for

disease self-management, which in turn, can promote patient safety, improve health

outcomes, and enhance the utilization of such technologies.

Document Type

Dissertation: Open Access