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

被引:33
|
作者
Zhou, Lu Lin [1 ]
Owusu-Marfo, Joseph [1 ,2 ]
Antwi, Henry Asante [1 ]
Antwi, Maxwell Opuni [1 ]
Kachie, Arielle Doris Tetgoum [1 ]
Ampon-Wireko, Sabina [1 ]
机构
[1] Jiangsu Univ, Sch Management, Hosp Management & Hlth Policy Res, Ctr Med Insurance, 301 Xuefu Rd, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Coll Hlth & Well Being, Dept Hlth Informat Hlth Informat Management, Kintampo Bono East, Ghana
基金
中国国家自然科学基金;
关键词
Social influence; Facilitating conditions; Health information management; Hospital information systems; Health technology; Electronic health; medical records; Nurses; Ghana; ATTITUDES; CARE;
D O I
10.1186/s12911-019-0956-z
中图分类号
R-058 [];
学科分类号
摘要
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 < 0.001). Notably, both SI and FC had an influence on nurses' use behavior (UB) with behavioral intention (BI) as the mediator, which explains a total of 42.1% variance in the intention of nurses to use HEIMS. Likewise, UB of HEIMS was also significantly predicted by SI (R-2 = 43.2) and BI (R-2 = 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.
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页数:9
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