The impact of key factors on an appropriate network governance model in health care systems: a structural equation modeling approach

The COVID-19 pandemic has been well-documented to have a variable impact on individual communities and health care systems. We describe the experience of a single organ procurement organization (OPO), located in an area without a large cluster of cases during the initial phase of the COVID-19 pandemic. A review of community health data describing the impact of COVID-19 nationally and in Oklahoma was conducted. Additionally, a retrospective review of available OPO data from March 2019-May 2020 was performed. While the amount of donor referrals received and organs recovered by the OPO remained stable in the initial months of the pandemic, the observed organs transplanted vs. expected organs transplanted (O:E) decreased to the lowest number in the 15-month period and organs transplanted decreased as well. Fewer organs from Oklahoma donors were accepted for transplant despite staff spending more time allocating organs.

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Sustainability of Biosimilars in Europe: A Delphi Panel Consensus with Systematic Literature Review

Pharmaceuticals ◽

10.3390/ph13110400 ◽

2020 ◽

Vol 13 (11) ◽

pp. 400

Author(s):

Arnold G. Vulto ◽

Jackie Vanderpuye-Orgle ◽

Martin van der Graaff ◽

Steven R. A. Simoens ◽

Lorenzo Dagna ◽

...

Keyword(s):

Health Care ◽

Literature Review ◽

Systematic Literature Review ◽

Health Care Systems ◽

Delphi Panel ◽

The European Union ◽

Modified Delphi ◽

Care Systems ◽

Supply Risks ◽

The Impact

Introduction: Biosimilars have the potential to enhance the sustainability of evolving health care systems. A sustainable biosimilars market requires all stakeholders to balance competition and supply chain security. However, there is significant variation in the policies for pricing, procurement, and use of biosimilars in the European Union. A modified Delphi process was conducted to achieve expert consensus on biosimilar market sustainability in Europe. Methods: The priorities of 11 stakeholders were explored in three stages: a brainstorming stage supported by a systematic literature review (SLR) and key materials identified by the participants; development and review of statements derived during brainstorming; and a facilitated roundtable discussion. Results: Participants argued that a sustainable biosimilar market must deliver tangible and transparent benefits to the health care system, while meeting the needs of all stakeholders. Key drivers of biosimilar market sustainability included: (i) competition is more effective than regulation; (ii) there should be incentives to ensure industry investment in biosimilar development and innovation; (iii) procurement processes must avoid monopolies and minimize market disruption; and (iv) principles for procurement should be defined by all stakeholders. However, findings from the SLR were limited, with significant gaps on the impact of different tender models on supply risks, savings, and sustainability. Conclusions: A sustainable biosimilar market means that all stakeholders benefit from appropriate and reliable access to biological therapies. Failure to care for biosimilar market sustainability may impoverish biosimilar development and offerings, eventually leading to increased cost for health care systems and patients, with fewer resources for innovation.

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The impact of chronic disease and disability on the elderly

South African Journal of Physiotherapy ◽

10.4102/sajp.v55i3.567 ◽

1999 ◽

Vol 55 (3) ◽

pp. 9-14

Author(s):

C. J. Eales

Keyword(s):

Health Care ◽

Chronic Disease ◽

Chronic Diseases ◽

Health Care Systems ◽

The Elderly ◽

Therapeutic Interventions ◽

Elderly Persons ◽

Care Systems ◽

And Function ◽

The Impact

Health care systems for elderly people should aim to delay the onset of illness, reducing the final period of infirmity and illness to the shortest possible time. The most effective way to achieve this is by health education and preventative medicine to maintain mobility and function. Changes in life style even in late life may result in improved health, effectively decreasing the incidence of chronic diseases associated with advancing age. This paper presents the problems experienced by elderly persons with chronic diseases and disabilities with indications for meaningful therapeutic interventions.

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Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention

Journal of Research in Interactive Marketing ◽

10.1108/jrim-04-2020-0072 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Mazzini Muda ◽

Muhammad Iskandar Hamzah

Keyword(s):

Social Media ◽

Structural Equation Modeling ◽

Purchase Intention ◽

Structural Equation ◽

Word Of Mouth ◽

Source Credibility ◽

Equation Modeling ◽

Content Type ◽

The Social ◽

The Impact

PurposeIn spite of the increasing organic and interactive marketing activities over social media, a general understanding of the source credibility of voluntary user-generated content (UGC) is still limited. In line with the social identity theory, this paper examines the effects of consumers' perceived source credibility of UGC in YouTube videos on their attitudes and behavioral intentions. Additionally, source homophily theory is included to predict the antecedent of source credibility.Design/methodology/approachThree hundred and seventy two Generation Y respondents were interviewed using snowball sampling. Data were analyzed with component-based structural equation modeling technique of partial least squares-structural equation modeling (PLS-SEM).FindingsFindings confirmed that perceived source credibility indirectly affects purchase intention (PI) and electronic word-of-mouth via attitude toward UGC. Besides, perceived source credibility mediates the effect of perceived source homophily on attitude toward UGC.Practical implicationsSince today's consumers have begun to trust and rely more on UGC than company-generated content on social media when making purchase decisions, companies may reconsider democratizing certain aspects of their branding strategies. Firms may fine-tune their marketing communication budgets – not only just by sponsoring public figures and celebrities but also by nurturing coproductive engagements with independent content creators who are ordinary consumers. Endowed with their imposing credibility, these micro-influencers and prosumers have high potentials to be uplifted to brand ambassadors.Originality/valueWhile consumers' purchase outcome can be measured easily using metrics and analytics, the roles of source homophily in stages leading up to the purchase is still elusive. Drawing on the rich theoretical basis of source homophily may help researchers to understand not only how credibility and attitude are related to PI but also how this nexus generates positive word of mouth among UGC followers within the social media circles.

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The Effects of Implementing an Accreditation Process on Health Care Quality Using Structural Equation Modeling

The Health Care Manager ◽

10.1097/hcm.0000000000000229 ◽

2018 ◽

Vol 37 (4) ◽

pp. 317-324 ◽

Cited By ~ 2

Author(s):

Parisa Pourrabia ◽

Mohammadkarim Bahadori ◽

Seyed Mojtaba Hosseini ◽

Ramin Ravangard

Keyword(s):

Health Care ◽

Structural Equation Modeling ◽

Structural Equation ◽

Health Care Quality ◽

Accreditation Process ◽

Care Quality ◽

Equation Modeling

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The impact of the recession on health care expenditure — How does the Czech Republic, Hungary, Poland and Slovakia compare to other OECD countries?

Society and Economy ◽

10.1556/socec.37.2015.1.4 ◽

2015 ◽

Vol 37 (1) ◽

pp. 73-88

Author(s):

Petra Baji ◽

Márta Péntek ◽

Imre Boncz ◽

Valentin Brodszky ◽

Olga Loblova ◽

...

Keyword(s):

Health Care ◽

Czech Republic ◽

Economic Crisis ◽

Growth Rates ◽

Health Care Systems ◽

Oecd Countries ◽

The Czech Republic ◽

Relative Growth ◽

Care Systems ◽

The Impact

In the past few years, several papers have been published in the international literature on the impact of the economic crisis on health and health care. However, there is limited knowledge on this topic regarding the Central and Eastern European (CEE) countries. The main aims of this study are to examine the effect of the financial crisis on health care spending in four CEE countries (the Czech Republic, Hungary, Poland and Slovakia) in comparison with the OECD countries. In this paper we also revised the literature for economic crisis related impact on health and health care system in these countries. OECD data released in 2012 were used to examine the differences in growth rates before and after the financial crisis. We examined the ratio of the average yearly growth rates of health expenditure expressed in USD (PPP) between 2008–2010 and 2000–2008. The classification of the OECD countries regarding “development” and “relative growth” resulted in four clusters. A large diversity of “relative growth” was observed across the countries in austerity conditions, however the changes significantly correlate with the average drop of GDP from 2008 to 2010. To conclude, it is difficult to capture visible evidence regarding the impact of the recession on the health and health care systems in the CEE countries due to the absence of the necessary data. For the same reason, governments in this region might have a limited capability to minimize the possible negative effects of the recession on health and health care systems.

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Perilaku Pencarian Variasi: Ditinjau Dari Perspektif Psikologi Dan Imbasnya Pada Loyalitas Kesikapan Konsumen

Jurnal Manajemen Teori dan Terapan | Journal of Theory and Applied Management ◽

10.20473/jmtt.v1i1.2355 ◽

2008 ◽

Vol 1 (1) ◽

Author(s):

Iin Mayasari

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Equation Modeling ◽

Hypotheses Testing ◽

Variety Seeking ◽

Attitudinal Loyalty ◽

Optimum Stimulation Level ◽

Stimulation Level ◽

Psychology Perspective ◽

The Impact

This study examines the model that explains the internal aspect as the stimulusi in influencing consumers to do variety seeking. The conceptual model is discussed by applying the psychology perspective of the optimum stimulation level and the impact on attitudinal loyalty. The number of questionnaires is 1100 exemplars and distributed to seven universities in Yogyakarta. However, the appropriate questionnaires to be further analyzed are 654 exemplars. The hypotheses testing uses the structural equation modeling.

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INTEGRATING THE IMPACT OF COUNTRY OF ORIGIN (COC) AND CONSUMER ETHNOCENTRISM (CE) ON GLOBAL MARKETING (GM) AND GROWING CONSUMER TRENDS (GCT) EVIDENCES FROM PHARMACEUTICAL INDUSTRIES IN INDONES

Journal of Management and Business Review ◽

10.34149/jmbr.v11i1.57 ◽

2017 ◽

Vol 11 (1) ◽

Author(s):

Kardison Lumban Batu

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Country Of Origin ◽

Equation Modeling ◽

Global Marketing ◽

Consumer Ethnocentrism ◽

Independent Variables ◽

Pharmaceutical Industries ◽

The Impact

The current research is empirically investigated the impact of country of origin and consumer ethnocentrism on growing customer trend directly also through global marketing as mediating variable. It is also assessed the impact of global marketing on growing consumer trend. By deploying Structural Equation Modeling with AMOS, three independent variables were analyzed, country of origin (CoC), global marketing (GM), consumer ethnocentrism (CE) and growing consumer trend (GCT) as dependent variable. The findings showed that both country of origin (CoC) and consumer ethnocentrism (CE) have significant effect on global marketing (GM) as well as on growing consumer trend (GCT). Further, global marketing (GM) successfully mediated and showed significant effect of both country of origin and consumer ethnocentrism. Finally global marketing has significant impact on growing consume trend.

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DAMPAK IKLIM ORGANISASI TERHADAP STRES KERJA DAN KINERJA KARYAWAN

Jurnal Manajemen ◽

10.24912/jm.v20i1.69 ◽

2017 ◽

Vol 20 (1) ◽

pp. 121 ◽

Cited By ~ 1

Author(s):

Muhammad Rasyid Abdillah ◽

Rizqa Anita ◽

Rita Anugerah

Keyword(s):

Structural Equation Modeling ◽

Organizational Climate ◽

Job Stress ◽

Structural Equation ◽

Employee Performance ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Head Office ◽

The Impact

Penelitian ini bertujuan untuk menguji dampak iklim organisasi terhadap stres kerja dan kinerja karyawan. Data yang digunakan dalam penelitian ini adalah data primer dalam bentuk kuesioner dimana subjek penelitiannya adalah para 45 karyawan PT. Adei Plantation & Industry Head Office Pekanbaru Riau. Pengujian hipotesis menggunakan Structural Equation Modeling Partial Least Square. Hasil penelitian menunjukkan bahwa iklim organisasi berpengaruh terhadap stres kerja dan kinerja karyawan. Selain itu, hasil ini juga menunjukkan bahwa pengaruh iklim organisasi terhadap kinerja karyawan adalah pengaruh tidak langsung melalui stres kerja.This study aims to examine the impact of organizational climate on job stress and employee performance. The data used in this study was primary data in the form of a questionnaire in which the research subjects are 45 employees of PT. Adei Plantation & Industry Head Office Pekanbaru Riau. To test the hypothesis using Structural Equation Modeling Partial Least Square. The result suggest that organizational climate influence on job stress and employee performance. In addition, result also suggest that the effect of organizational climate on employee performance is indirect influence through job stress.

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COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

Journal of the Nigerian Society of Physical Sciences ◽

10.46481/jnsps.2021.173 ◽

2021 ◽

pp. 395-405

Author(s):

David Opeoluwa Oyewola ◽

Emmanuel Gbenga Dada ◽

Juliana Ngozi Ndunagu ◽

Terrang Abubakar Umar ◽

Akinwunmi S.A

Keyword(s):

Machine Learning ◽

Risk Factors ◽

Structural Equation Modeling ◽

Latent Variables ◽

Structural Equation ◽

Equation Modeling ◽

Support Vector ◽

Economic Factors ◽

Negative Effects ◽

The Impact

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on the economy of nations is far greater than anything suffered in almost a century. The main objective of this paper is to apply Structural Equation Modeling (SEM) and Machine Learning (ML) to determine the relationships among COVID-19 risk factors, epidemiology factors and economic factors. Structural equation modeling is a statistical technique for calculating and evaluating the relationships of manifest and latent variables. It explores the causal relationship between variables and at the same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector Machine (SVM), Decision Tree (DT) and Random Forest (RF) Machine Learning techniques was applied to predict the impact of COVID-19 risk factors. Data from patients who came into contact with coronavirus disease were collected from Kaggle database between 23 January 2020 and 24 June 2020. Results indicate that COVID-19 risk factors have negative effects on epidemiology factors. It also has negative effects on economic factors.

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