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 The Malaria Vaccine Implementation Programme (MVIP) coordinates the routine implementation of the RTS,S vaccine pilot in strategically selected locations in Malawi, Kenya, and Ghana. The pilot programme thoroughly assesses the programmatic feasibility of administering the four doses of the RTS,S vaccine. It will also assess the impact on malaria morbidity and mortality, as well as monitor and detect the vaccine's safety for routine usage. The malaria vaccine was introduced into Ghana's routine vaccination programme in May 2019 in seven regions, comprising 42 districts, including Kassena Nankana Municipal in the Upper East region of Ghana. Therefore, this study seeks to assess the predictors of the malaria vaccine uptake in children 6 to 24 months in the Kassena Nankana Municipal in Ghana. Methods The survey used a cross-sectional study design and included 422 mothers/caregivers with children aged 6 to 24 months from the Kassena Nankana Municipality. WHO cluster survey questionnaire was altered for use in data gathering with caregivers as respondents. The Statistical Package for the Social Sciences (SPSS) version 25.0 (for descriptive statistics) and Stata version 13 (for calculating odds ratios) were used to analyse the data. Results The findings depict that, the mean age of respondents for the study was 27 ± 5 years and average age of children was 15 ± 8 months. The study found that coverage uptake was high (94%). Chi-square and odds ratios testing revealed statistically significant associations between health service factors and vaccine uptake: education on malaria vaccine cOR(Cl); 9.69(3.496–25.425), (P < 0.001), giving caregivers the option to accept malaria vaccine cOR(Cl); 7.04 (2.759–17.476), (P < 0.001). Confidence in the efficiency of the vaccination was found to have a statistically significant association with malaria vaccine uptake (P < 0.005) and (p < 0.001) for ‘somewhat confidence’ and ‘not confidence at all’, respectively. Attitude of health workers was found to be significant predictor of malaria vaccine uptake (P < 0.003). Conclusion Malaria vaccine uptake was high among the study population in the municipality; however, dose four uptake coverage by age two was low. This indicates that mothers/caregivers did not understand the notion of immunization throughout the second year of life. As a result, it is recommended that the municipality raise awareness about immunization services among mothers/caregivers beyond year one in order to improve performance and reduce the risk of disease outbreaks in the municipality.
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.
The leave of newly recruited nurses has become a bottleneck to the expansion of healthcare organizations and appears to be a waste of financial resources on nursing education (Zhang et al., 2020). The World Health Organization has projected that a 12.9 million nurse shortage will hit the world by the end of 2035 (Marć et al., 2019).Before this projection, the International Council of Nurses (2003) had earlier warned the world to be mindful of the 27.1% of newly Registered Nurses who quit their jobs within their first year of engagement. Turnover intention contributes to the nurses' shortage and heavy workload and consequently spurs other nurses to leave. In this case, healthcare delivery quality also diminishes (Al Sabei et al.,
Background Medical care facilities in both developed and developing countries around the world continue to invest in hospital information technologies (HITs). Nevertheless, it has been discovered that user acceptance of these technologies is one of the imperative issues during their implementation and management in developing countries such as Ghana. Purpose Notably, the technology acceptance assessment of nurses is a timely one since they play a very important role in the medical sector. Based on the model of “Unified Theory of Acceptance and Use of Technology,” this study explored the factors that affect Ghanaian nurses’ acceptance of HIT. Design/Method/Approach: A descriptive nonexperimental research design was employed in this study to recruit 660 nurses (404 females and 256 males) from 3 teaching and 2 regional hospitals in Ghana. A standardized electronic platform questionnaire (based on the Unified Theory of Acceptance and Use of Technology model) was designed on smartphones and was self-administered, while the data collected were analyzed via the SmartPLS Structural Equation Modeling path analysis. The “Social Influence” ( t = 3.656, p < .001), “Attitude towards the Use of Technology” ( t = 5.861, p < .001), and “Facilitating Conditions” ( t = 2.616, p < .001) were the main predictors of the nurses’ behavioral intention to use HIT. The effects of the aforementioned constructs explained 60.7% ( R2 = 0.607) of the variance in the nurses’ intentions to use the HIT systems. Conclusions Precisely, HIT systems are essential in the quality and the enhancement of nursing services provision and in the effectiveness of the performance of nursing staff. This study, therefore, offers a piece of empirical evidence for hospital administrators in developing countries especially Ghana, to assess the success probability of new HITs before and after their implementation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.