Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Clinicians’ Acceptance of Interactive Health Technologies to Support Patient Self-Management

Alrawashdeh, Mohammad (2017) Clinicians’ Acceptance of Interactive Health Technologies to Support Patient Self-Management. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF
Download (1MB) | Preview

Abstract

Background: The use of interactive health technologies (IHTs) by patients and clinicians may promote self-management behaviors, and thus help prevent, detect and treat complications. Yet, clinicians’ acceptance of IHTs is low and not well understood. The purpose of this study was to identify the factors that influence clinicians’ intention to use IHTs.
Methods: A conceptual model of factors thought to influence clinicians’ intention to use IHTs was generated from the literature and evaluated using a mixed-methods design. Clinicians completed a survey on-line to measure the relationships between concepts of the proposed model. The data were analyzed using partial least squares structural equation modeling. Purposive, criterion sampling was used to select a representative subgroup of clinicians for follow-up interviews. Thematic analysis was used to summarize the interview data. Findings of the surveys and interviews were integrated using importance-performance matrix analyses (IPMA).
Results: The sample included 82 clinicians; 70% female, 17% physicians, 40% transplant clinicians, and ages ranged from 25-65 years. Perceived usefulness was the only direct predictor of intention to use (b= 0.52, p <.001; R2=.64). Subjective norms, views of other colleagues, (b= 0.25, p <.001) and compatibility with work style (b= 0.66, p <.001) were significant predictors of perceived usefulness. Perceived ease of use (b= 0.54, p <.001) and facilitating conditions (e.g., organizational support, b= 0.27, p <.001) significantly influenced compatibility. Clinicians’ beliefs about patient self-management (b= 0.46, p <.001) significantly influenced subjective norms. The interviews (n=6) confirmed and further explained the survey findings. Three distinct groups of clinicians emerged from the qualitative analysis and the IPMA. Nurses and care coordinators were more concerned about details in IHTs and the availability of adequate organizational resources. Physicians were more interested in the overall picture and the compatibility of IHTs with their workflow. Advanced practice providers were willing to follow patients on a daily basis but only in the ambulatory setting.
Conclusions: The usefulness and compatibility with clinicians’ workflow are among the top priorities for successful deployment of IHTs. Future IHTs should be tailored for different types of clinicians. These findings have implications for policy makers, healthcare organizations, designers and researchers.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Alrawashdeh, Mohammadmoa32@pitt.edumoa320000-0003-4657-0247
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairDeVito Dabbs, Annetteajdst43@pitt.eduajdst43
Committee MemberParmanto, Bambangparmanto@pitt.eduparmanto
Committee MemberSereika, Susanssereika@pitt.edussereika
Committee MemberAl-Zaiti, Salahssa33@pitt.edussa33
Date: 19 December 2017
Date Type: Publication
Defense Date: 21 November 2017
Approval Date: 19 December 2017
Submission Date: 15 December 2017
Access Restriction: 1 year -- Restrict access to University of Pittsburgh for a period of 1 year.
Number of Pages: 153
Institution: University of Pittsburgh
Schools and Programs: School of Nursing > Nursing
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Interactive Health Technologies, Mobile Health, Technology Acceptance Model, Biomedical Informatics, Health Informatics, Cardiopulmonary
Date Deposited: 19 Dec 2017 16:30
Last Modified: 19 Dec 2018 06:15
URI: http://d-scholarship.pitt.edu/id/eprint/33635

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item