| dc.description.abstract | Healthcare systems consist of mechanisms intended to provide medical care, advance
public health and guarantee that everyone has access to healthcare resources. The
challenges facing the public healthcare sector in developing countries are mainly
associated with weak healthcare systems. Weak and poor-quality health information
systems contribute to failure of information flow across integrated health systems
pathways; hence there is growing need to strengthen the components of Health
Information Systems. It is also agreeable that health information systems have immense
benefits, yet their implementations vary greatly among different countries; hence benefits
to beneficiary translational gap. It is further notable that, the adoption, diffusion,
acceptance and utilization of this innovation in the healthcare context are lagging. The
study addressed these concerns by examining the factors influencing eHealth in public
healthcare facilities and develop a multi-dimensional model for eHealth implementation
in developing countries, a case of eastern Uganda. This was achieved through a survey,
encompassing both quantitative and qualitative strategies. Three healthcare facility study
sites were identified through predetermined selection criteria in Eastern Uganda region.
The respondents cut across the different cadres of health workers, administrator, and IT
staff. The collected quantitative data was descriptively and inferentially analyzed, through
different analytical techniques using STATAv17, while qualitative data was thematically
analyzed. From the identified study sites, key leaders were identified to respond to
interview questions for qualitative data. IT personnel were interviewed to give expert
response. Further, observation protocol aided data collection which equally was analyzed
qualitatively, together with documents analysis. A significance test of the model
components was done from which the following results were observed social factors with
p-value = 0.000, Organisational factors had a p-value = 0.012, Environmental factors with
a p-value = 0.024 and Technological factors that had a p-value = 0.047. A multi
dimensional model was developed from the study’s outcomes to guide and support
effective eHealth implementation. The model was informed by a conceptual framework
which was tested and validated using a structural equation model. | en_US |