Many boundaries are hindering successful utilisation of e-health in the Kingdom of Saudi Arabia (KSA). We have previously proposed an integrated framework of knowledge management and knowledge discovery to overcome barriers of e-health in KSA. Our proposed framework facilitates diabetes self-management for diabetic citizens in the Kingdom. In this paper, we will investigate and rank the barriers of e-health in KSA from the prospective of three stakeholders. We designed a questionnaire which constituted of items related to eight different e-health barriers and its associated sub-barriers. Citizens participated in 51 items related to six barriers. Healthcare professionals answered 83 items related to eight barriers. IT specialists participated in 74 items related to six barriers. Within each group of respondents, we compared the mean scores for each factor and sub-factor. The highest possible score for the mean was 5.00 and the lowest was 0.00 where the higher the mean score was the more the barrier constituted an obstacle for e-health in KSA. Citizens ranked the connectivity of information system as the top barrier with the mean of 4.0 whereas the least barrier was the cultural barriers with the mean score of 3.1. Healthcare professionals ranked the connectivity of information systems as the top barriers with the mean score of 3.5 whereas the least barrier was the technical expertise and computer skills with the mean score of 2.2. The top ranked barrier from the perspective of IT specialists was the medication safety with the mean score of 3.5 and the least ranked barrier was security and privacy with the mean score of 2.2. The results showed consistency with the literature review. Our proposed framework will contribute to the successful implementation of e-health initiatives and assist citizens in KSA to self- manage diabetes.
[1]
M. M. Altuwaijri.
Electronic-health in Saudi Arabia
,
2008
.
[2]
Anthony Atkins,et al.
Integrated Framework of Knowledge Management and Knowledge Discovery to Support E-health for Saudi Diabetic Patients
,
2015
.
[3]
Randi L. Sims.
Bivariate Data Analysis: A Practical Guide
,
1999
.
[4]
M. M. Altuwaijri.
Electronic-health in Saudi Arabia. Just around the corner?
,
2008,
Saudi medical journal.
[5]
Margret Amatayakul,et al.
Keys to successful EHR implementation.
,
2010,
Healthcare financial management : journal of the Healthcare Financial Management Association.
[6]
Analysis of “Don't Know” Responses to Referendum Contingent Valuation Questions
,
1998,
Agricultural and Resource Economics Review.
[7]
M. M. Altuwaijri,et al.
Implementation of computerized physician order entry in National Guard hospitals: Assessment of critical success factors
,
2011,
Journal of family & community medicine.
[8]
Mohamed Khalifa,et al.
Barriers to Health Information Systems and Electronic Medical Records Implementation. A Field Study of Saudi Arabian Hospitals
,
2013,
EUSPN/ICTH.
[9]
Hua Wang,et al.
Treatment of “Don't-Know” Responses in Contingent Valuation Surveys: A Random Valuation Model
,
1997
.
[10]
Sylvia L. Edwards,et al.
Cultural impact on e-service use in Saudi Arabia : the need for interaction with other humans
,
2013
.
[11]
A. Colman,et al.
Comparing Rating Scales of Different Lengths: Equivalence of Scores from 5-Point and 7-Point Scales
,
1997
.