The determinants of electronic health information systems (EHIS) adoption and usage from healthcare providers’ staff perspective: Case study of Kenyans health sector
Abstract
Quality healthcare is the extent to which health services provided to individuals and patient
populations improve desired health outcomes. Information and Communication Technologies
(ICTs) specifically Electronic Health information systems (EHIS) have made significant impact
on healthcare industry in the globally. A well-functioning EHIS is an integrated effort to collect,
process, report and use health information and knowledge to influence policy and decisionmaking,
programme action, individual and public health outcomes, and research. Its adoption
and use, has transformed the way healthcare services are delivered and has impacted
significantly health care procedures, work practices, treatment outcomes and cost reduction.
However EHIS’s full potential has not been realized, because there are many challenges
affecting adoption of ICT solutions in developing countries. These failures of EHIS adoption can
be linked to other factors such as social cultural, psychological and organizational besides
technical factors (Mwai, 2011).
In this study, reviewed user acceptance literature and discussed application of prominent theories
and models in studying ICT adoption and use behaviors, empirically compared them in adoption
and use and formulated a framework that integrates elements across the theories and models
suitable for adoption and use of EHIS in the health industry.
In the initial stages of data collection I used qualitative and open-ended research approaches to
expand and enrich the conceptual framework. Four healthcare providers I clustered into three
categories: Rural setup, urban setup and city setup that participated in this research. Using
subjective sampling I selected informants who mainly end-users are using the system on a day
to day basis.The analysis was conducted using SPSS where descriptive statistics were also
generated including frequency. Inferential statistics were also generated including regression
coefficient, and eventually and framework for adoption and use of EHIS from the staff
perspectivewas generated. The findings of the study indicate the fact that five determinants:
Perceived Usefulness, Perceived Ease of Use, Perceived Enjoyment, Security of Records and
Awareness in combination with other determinants influence adoption and use of EHIS.
Publisher
University of Nairobi