Qualitative Triadic Study of the Relational Factors Influencing the Formation of Quality in a Community-Based Aged Health Care Service Network

2011 ◽  
Vol 28 (2) ◽  
pp. 155-173 ◽  
Author(s):  
Liz Gill ◽  
Lesley White ◽  
Ian D. Cameron
foresight ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahima Jain ◽  
Apoorva Goel ◽  
Shuchi Sinha ◽  
Sanjay Dhir

Purpose Intervention of artificial intelligence (AI) has brought up the issue of future job prospects in terms of the employability of the professionals and their readiness to harness the benefits of the AI. The purpose of this study is to recognize the implications of AI on employability by analyzing the issues in the health-care sector that if not addressed, can dampen the possibilities offered by AI intervention and its pervasiveness (Cornell University, INSEAD, and WIPO, 2019). Design/methodology/approach To get an insight on these concerns, an approach of total interpretive structural modelling, cross impact matrix multiplication applied to classification and path analysis have been used to understand the role of the critical factors influencing employability in the health-care sector. Findings This study primarily explores the driving-dependence power of the critical factors of the employability and displays hierarchical relationships. It also discusses measures which, if adopted, can enhance employability in the health-care sector with the intervention of AI. Research limitations/implications Employability also has an impact on the productivity of the health-care service delivery which may provide a holistic opportunity to the management in health-care organizations to forecast the allocation and training of human resources and technological resources. Originality/value The paper attempts to analyze AI intervention and other driving factors (operational changes, customized training intervention, openness to learning, attitude toward technology, job-related skills and AI knowledge) to analyze their impact on employability with the changing needs. It establishes the hierarchical relationship among the critical factors influencing employability in the health-care sector because of the intervention of AI.


2019 ◽  
Author(s):  
Myung Ja Kim ◽  
Eunhee Lee

Abstract Background Community based case management for medical aid beneficiaries was implemented in Korea to induce rational use of medical care among the beneficiaries and stabilize the financial system. This study investigated the economic impact of community based case management on health care utilization and cost. Methods This study is a quantitative policy evaluation study to evaluate the impact of case management on excessive use of health care service in medical aid beneficiaries using national database. Results Total 1,741 medical aid beneficiaries with case management included in this study. Case management was provided to three target group, high-risk, long-term inpatient, and intensive care group. An increase in health-related quality of life (QOL) and the ability to use appropriate health care and a reduction in health care utilization and cost were observed for case management. There was no significant difference in the reduction in the total number of visiting days and the cost between the groups. Conclusions An increase in the health care utilization among medical aid beneficiaries has been observed due to the aging population and increase in the number of recipients. To reduce health care costs while maintaining the health status of the beneficiaries, it is necessitated to expand the targeted management.


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Grace Kyoon-Achan

The models of primary health care currently operating in First Nations communities are rooted in policies that were crafted without prior appropriate consultations. Many have continued to be applied even though they no longer adequately serve the needs of First Nations communities and people, if they ever did. Transforming primary health care will necessarily involve community- inclusive and self-determined reviewing of existing policies with a goal of implementing opportunities to update policies and models of care. This study was a partnership with university-based researchers, a First Nations health and social development entity separately established by a regional organization of First Nations Chiefs, and eight First Nations communities. A multi-pronged methodology was used in which five concurrent studies employing qualitative, quantitative, and case-study methods provided information on the primary health care experiences of First Nations and rural and remote communities. The program of research took a community-based participatory approach to engage participants in designing and carrying out data gathering while strengthening local capacity and encouraging long-term ownership of the process of research for change. Participating communities pointed out key setbacks to community- based primary health care, including differing models of care, jurisdictional complexities, funding that creates isolated programs within the same community, lack of promotion of cooperation among health care services, and a general acute approach to health care service delivery in the community. These barriers are both problems and opportunities for change. A borderless health care system that is jurisdictionally seamless and that promotes collaboration through cooperative funding models that reflect community priorities is recommended and advocated for all Manitoba First Nations communities.


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