'Assessment of the social influence and facilitating conditions that support nurses’ adoption of hospital electronic information management systems (HEIMS) in Ghana using the unified theory of acceptance and use of technology (UTAUT) model'

Autor: Henry Asante Antwi, Maxwell Opuni Antwi, Sabina Ampon-Wireko, Arielle Doris Tetgoum Kachie, Joseph Owusu-Marfo, Lu Lin Zhou
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Adult
Male
020205 medical informatics
Attitude of Health Personnel
Health Personnel
Applied psychology
Nurses
Health Informatics
02 engineering and technology
Intention
Unified theory of acceptance and use of technology
Nursing Staff
Hospital
lcsh:Computer applications to medicine. Medical informatics
Health informatics
Ghana
Structural equation modeling
03 medical and health sciences
Social influence
0302 clinical medicine
Facilitating conditions
Surveys and Questionnaires
0202 electrical engineering
electronic engineering
information engineering
Electronic Health Records
Humans
030212 general & internal medicine
Electronic health/medical records
business.industry
Health Policy
Health technology
Electronic information
Variance (accounting)
Hospital information systems
Middle Aged
Computer Science Applications
Health information management
Management system
lcsh:R858-859.7
Female
Diffusion of Innovation
Psychology
business
Research Article
Zdroj: BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-9 (2019)
ISSN: 1472-6947
Popis: Background Hospital electronic information management systems (HEIMS) are widely used in Ghana, and hence its performance must be carefully assessed. Nurses as clinical health personnel are the largest cluster of hospital staff and are the pillar of healthcare delivery. Therefore, they play a crucial role in the adoption and assessment of HEIMSs in Ghana. This report sought to assess the “Social Influence” (SI) and “Facilitating Conditions” (FC) that support Nurses’ Acceptance of HEIMS in Ghana using the “Unified Theory of Acceptance and Use of Technology” (UTAUT) model. Methods This study applied a non-experimental survey design. An electronic platform questionnaire on smartphones was used to collect data on 660 nurses. Statistically, AMOS Structural Equation Modelling (SEM) version 22.0 was employed to examine the research model. Results “Behavioral Intention” (BI) to HEIMS use was significantly predicted by SI and FC (p 2 = 43.2) and BI (R2 = 0.39.6) with both constructs explaining a total of 51.7% of the variance in nurses’ acceptance to use HEIMS. Conclusion Nurses’ adoption of HEIMS in terms of the UB was influenced by SI and BI, whiles SI and FC had the strongest influence on BI (serving as mediator) of UB to adopt and use HEIMS among the nurses in Ghanaian hospitals.
Databáze: OpenAIRE
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