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 (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. 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.

Background: Malaria remains a major public health concern around the world, particularly in resource-constrained countries. Malaria still accounts for 40% of all Out-Patient Department (OPD) cases in Ghana, with children under the age of five being the most vulnerable group. The study assessed the knowledge, attitudes, and practices of malaria preventive measures among mothers with children under 5 years old in a rural setting in Ghana. Methods: A cross-sectional study design with a quantitative approach was used in this study. The study was facility based and involved the use of interviewer administered questionnaires to collect data from 281 mothers with children under the age of five. Simple random sampling method was used to select the respondents. The data collected was analysed using the statistical package for the social sciences (SPSS) version 22 and results presented in tables. Results: There were 281 mothers, with 59.4% having children at the age of a year. The findings revealed that the majority of participants have a high level of knowledge about malaria’s causes, signs, and symptoms. Again, the majority of participants demonstrated a positive attitude toward malaria prevention, such as seeking treatment at a hospital within 24 h of suspecting their children had malaria and demonstrating good knowledge of malaria prevention practices. Despite this, 35.5% of respondents were not actively engaged in malaria prevention practices in a day prior to the interview. Respondents’ occupation, level of education, and religion had a statistically significant association with mothers’ attitude towards prevention (p-values < 0.05 and 0.01). Conclusion: The study’s findings clearly demonstrate that the majority of mothers were knowledgeable about the causes, signs and symptoms, and preventive measures of malaria in children under the age of five. There was also statistically significant association between mothers’ demographic information, including level of education, occupation, religion, and their attitude towards malaria prevention. A keen interest should be directed toward the consistent application of low-cost preventive measures.

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.

Aim: This study sought to investigate some possible job stress factors that could influence newly recruited nurses’ behaviour to either continue or discontinue their job with their organization.Design: A cross‐sectional study design was adopted for this study.Method: Using 654 responses from novice nurses working in 20 county Chinese hospitals, we estimated the effects of six job stressors from the perceived stress scale on the turnover intention with a structural equation model in AMOS version 21 software.Results: The results showed that four stressors, stress from taking care of patients (β = 0.111, p < .01), stress from roles and workload (β = 0.129, p < .001), stress from co‐workers and daily life (β = 0.323, p < .001) and stress from lack of professional knowledge and skills (β = 0.137, p < .001), from the perceived stress scale had a significant impact on turnover intention among nurses.

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 progress of healthcare expenses is a striking issue for emerging nations. This is because an uncontrolled increase in healthcare expenses can push the nations to extreme poverty. The study examined the association between public health costs and macro-economic indicators within the emerging economies. Data for the study is extracted from the World Bank World Development Indicators for twenty-one (21) emerging countries spanning from 2000 to 2018. The generalized method of moments (GMM) and the Dumitrescu-Hurlin panel causality test are employed in the analysis of the study. The main findings of the study demonstrate that tax revenue and labor force participation increase public health expenses and inflation, on the other hand, showed a declining relationship. The study further reveals a u-shaped association between public health expenditure and economic growth. The interactive term between research and development and mortality rate of non-communicable diseases, reveal an increasing relationship. The study establishes that, among all the three models estimated, tax revenue, labor force participation and GDP per capita have positive effects on public health costs. Based on the findings, the study recommends governments to embark on policies that improve economic growth and tax revenue as well as stabilizing inflation. These strategic policies could boost public healthcare expenditure since it has a strong association with macroeconomic indicators.