scholarly journals Model of Healthcare-Associated Infection Control in Primary Health Care Institutions: A Structural Equation Modeling

2019 ◽  
Vol 39 (1) ◽  
pp. 153-158
Author(s):  
Zi-nan Zhang ◽  
Xin-ping Zhang ◽  
Xiao-quan Lai
2021 ◽  
Vol 13 (21) ◽  
pp. 12243
Author(s):  
Duško Čučković ◽  
Ilija Ćosić ◽  
Milan Delić ◽  
Miroslav Miškić ◽  
Slavica Ranisavljev Kovačev

Processes in the health sector include diagnostics, treatment, rehabilitation, prevention, education of patients, and all other interactions between qualified medical personnel and patients. Interpersonal processes pertain to the psychosocial aspect of said activities and include variables that describe communication, continuity, patient awareness, and the degree of patient involvement and influence the performance of health institutions in primary health care (PHC). The dimensions of importance for researching the influence of indicators of interpersonal processes on the performance of PHC organizations were identified, taking into account the underlying theory and specifics and characteristics of PHC. This paper studies the influence that patient-centeredness, as a dominant dimension that encompasses interpersonal processes, has on effectiveness, i.e., outcomes presented through health-related quality of life (HRQOL). Data on the factors of importance for this research subject were collected in the Republic of Serbia, while data analysis was carried out using partial least squares structural equation modeling (PLS-SEM). The research results show a complex relationship between indicators of interpersonal processes, highlight the importance of this group of processes for increasing the effectiveness of PHC organizations, and demonstrate the influence of interpersonal processes on the performance of PHC organizations.


2020 ◽  
Vol 22 (6) ◽  
pp. 34-41
Author(s):  
Lyudmila P. Slivina ◽  
Boleslav N. Levitan ◽  
Vsevolod V. Skvortsov ◽  
Elena I. Kalinchenko ◽  
Aleksandr V. Tumarenko ◽  
...  

2021 ◽  
Author(s):  
Huanhuan Jia ◽  
Hairui Jiang ◽  
Jianxing Yu ◽  
Jingru Zhang ◽  
Zhou Zheng ◽  
...  

Abstract Background: The serious shortage of primary health care (PHC) providers is a common issue in the health reforms worldwide, including in China. The government of China have proposed that encouraging and guiding qualified medical personnel to work in primary medical and health care institutions (PMHCIs) is an effective way to improve the overall quality and efficiency of PHC, but it has not produced good results. The problem of insufficient human resources of PHC has not been substantially ameliorated.Methods: Based on implicit theory and lexical approach, pre-investigation was conducted to collect the items that influence the medical personnel to seek employment at PMHCIs from the perspective of guided objects. Through a three-phase investigation of 1,160 doctors in 29 public hospitals in 9 cities, the items were categorized, and a structural equation model was established and verified to explore the interrelationship of influencing factors.Results: A total of 5 factors were rotated, including Sense of Gain (SG), Internal Organization Development (IOD), Remuneration and Development (RD), Condition of the City Where the PMHCI Is Located (CCPL), Job Responsibilities (JR) and Family Support (FS). The results of the model showed that IOD, RD, JR and FS had a significantly positive effect on the SG, whereas CCPL had no significant direct effect. In addition, the FS, RD and JR significantly mediated the relationship between the internal and external environment of the institution and the willing of medical personnel to seek employment at PMHCIs. The values of fit index indicated an acceptable-fitting model.Conclusion: Family, remuneration, individual development, and job responsibility are closely related with the willingness of medical personnel to seek employment at PMHCIs, and the internal and external environment of PMHCIs is also an important factor. Based on this, targeted measures can be proposed to promote the development of PHC providers.


2018 ◽  
Vol 37 (4) ◽  
pp. 317-324 ◽  
Author(s):  
Parisa Pourrabia ◽  
Mohammadkarim Bahadori ◽  
Seyed Mojtaba Hosseini ◽  
Ramin Ravangard

Author(s):  
M. A. Znamenska ◽  
G. O. Slabkiy

A low level of computerization of primary and secondary health care and a higher level in tertiary health care is shown. At the same time a low level of Internet access in primary health care institutions and much higher - in institutions of secondary and tertiary levels of health care is shown. The current level of informatization does not allow health care institutions to implement an effective system of communication in healthcare.


SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402093181
Author(s):  
Zhou Lulin ◽  
Joseph Owusu-Marfo ◽  
Henry Asante Antwi ◽  
Maxwell Opuni Antwi ◽  
Xinglong Xu

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.


Sign in / Sign up

Export Citation Format

Share Document