BackgroundHospital 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.MethodsThis 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 (R2 = 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.ConclusionNurses’ 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.
Background Emerging countries continue to suffer gravely from insufficient healthcare funding, which adversely affects access to quality healthcare and ultimately the health status of citizens. By using panel data from the World Development Indicators, the study examined the determinants of health care expenditure among twenty-two (22) emerging countries from the year 2000 to 2018. Methods The study employed cross-section dependence and homogeneity tests to confirm cross-sectional dependence and to deal with homogeneity issues. The Quantile regression technique is employed to test for the relationship between private and public health care expenses and its determinants. The Pooled mean group causality test is used to examine the causal connections among the variables. Results The outcome of the quantile regression test revealed that economic growth and aging population could induce healthcare costs in emerging countries. However, the impact of industrialization, agricultural activities, and technological advancement on health expenses are found to be noticeably heterogeneous at the various quantile levels. Unidirectional causality was found between industrialization and public health expenses; whereas two-way causal influence was reveled amongst public health expenditure and GDP per capita; public health expenditure and agricultural activities. Conclusion It is therefore suggested that effective and integrated strategies should be considered by industries and agricultural sectors to help reduce preventable diseases that will ultimately reduce healthcare costs among the emerging countries.
Electronic health record (EHR) systems have become a basic need in most health care facilities worldwide. However, little can be said about the developing nations’ use of it. Nevertheless, Ghana is one of the very few countries in Africa to start using EHRs. Nursing is a field that has been substantially influenced by the use of hospital electronic information management systems (HEIMS). More importantly, the successful implementation of any mHealth and EHRs critically depends on user acceptance. Therefore, as nurses in Ghana work at the frontline of the health care system in the country with access to vital records about the patients, it is important to assess what motivates them to use the system. 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 modeling (SEM) was employed to examine the research model. “Behavioral intention” (BI) to HEIMS use was significantly predicted by effort expectancy (EE) ( p <.001). Notably, EE had an effect on BI, which explains the 37% variance in the intention of nurses to use HEIMS. Likewise, use behavior (UB) of HEIMS was also significantly predicted by performance expectancy (PE) ( R2 = .25), EE ( R2 = .311), and BI ( R2 = .397), and all explained 46% of the variance in nurses’ acceptance of HEIMS. Nurses’ acceptance of HEIMS was significantly predicted by PE, EE, and BI. Based on these findings, hospital administrators should put measures in place that will boost the nurses’ confidence in using HEIMS as well as endeavor to adopt and implement a very user-friendly system.
There is a growing interest in the health professionals’ performance sustenance and work- related attitudes research. This is primarily because health professionals experience on daily basis some undesirable variables like fatigue, `well-being, stress, emotional drain, psychological need frustration and job dissatisfaction which affect performance and its sustenance. Health managers quest to resolve issues of performance sustenance, have resulted in difficulties in their attempt to motivate health professionals to be highly functional and effective to sustain performance. In a lower-middle income country like Ghana, there has not been a lot of success in this regard considering the enormity of psychological challenges and the seemingly disturbing work environment health professionals engage their services in. These continue to affect performance fundamentally because they keep experiencing negative development psychologically. Additionally, it has been documented severally in the extant literature how these negative psychological developments affect the performance of healthcare professionals which unreservedly requires a new dimension in the way work environment is managed. A gap our study intends to address through the incorporation of positive psychological capital which we seek to use in moderating the work related attitudes that has the capacity to address the negativity that has engulfed work environment among healthcare professionals.
The clear differences between developing nations and developed nations have posed an enormous problem in trying to design a “one-size-fits-all” theory of Electronic Commerce (EC) adoption. Most prior studies have proposed that generalizing findings of developed countries to the context of developing countries are of worry (Rahayu & Day, 2015; J. Tan, Tyler, & Manica, 2007). Table 1 shows the ICT Development Index (benchmarking tools to monitor information society developments worldwide) of some countries that have hosted the earlier literature on EC International Telecommunications Unions (ITU, 2017). These statistics may well indicate that businesses in developed countries and developing countries vary with regard to information technology and EC context<strong>.</strong> The latest ITU report in 2017 on ICT Development Index, ranks Ghana as the 112th country regarding ICT development in 2016, which shows a slight decline in the ranking compared to 111th in 2015 (the IDI value increased from 3.75 in 2015 to 3.99 in 2016). This may suggest that Ghana does not have appropriate infrastructure for effective e-business compared to countries like Singapore, China and USA.
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