Work-Related Stress in Public Health Care: A Case Study in Greece During Economic Crisis

Author(s):  
Aristomenis I. Syngelakis ◽  
Fotis Kitsios ◽  
Maria Kamariotou
2018 ◽  
Vol 5 (1) ◽  
pp. 109-120 ◽  
Author(s):  
Christoph Golz ◽  
Karin Anne Peter ◽  
Sabine Hahn

Abstract The workforce shortage in health care is a major challenge worldwide. In Switzerland, this shortage is not only demographically caused but also due to workload. Adequate measures require a good data basis. The aim of this study is to test instrument specially developed for the health professions to measure work-related stress in practice. Cognitive pretesting was used for the evaluation. Overall, 18 semi-structured single-interviews with nurses and nursing assistants were conducted. In two rounds, the question-answer-process was analysed for 11 questions. The STRAIN questionnaire was then pretested by 17 health professionals. In the first round, 42 problems were identified based on the phases of the “Cognitive Aspects of Survey Methodology”. Of these, 57 % were comprehension problems. This was shown by the polysemantic usage or unknowingness of terms. Further 38 % were problems with the answer categories, such as a missing category or an inappropriate formulation. Further questions were modified through a final pretest. The uniform comprehensibility has been achieved. Due to the questionnaire length, an online tool with a save function should be used. The results of this study are similar to those of comparable studies, which also show the most common problems with understanding. This is due to changes of concepts’ meanings over time and culture. A cognitive pretest is therefore recommended, especially for a heterogeneous target group such as health professions.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Claudia Pavani ◽  
Guilherme Ary Plonski

Purpose Personalized medicine (PM) encompasses a set of procedures, technologies and medications; the term became more prominent from the 2000s onwards and stems from the mapping of the human genome. The purposes of this study were to analyse the development stage of the process of technological innovation for PM and the obstacles that prevent PM from being adopted in the public health system in Brazil. Design/methodology/approach As a research method, this paper opts for a case study carried out at the Hospital das Clínicas, which belongs to São Paulo Medical School. In total, 22 in-depth interviews were carried out at the hospital to identify current practices in PM, future prospects and barriers imposed to the adoption of PM technologies in public health. Findings Personalized or precision medicine is already a reality for a small portion of the Brazilian population and is gradually gaining ground in public health care. One finding is that such changes are occurring in a disjointed manner in an incomplete and under development health innovation system. The analysis pointed out that the obstacles identified in Brazil are the same as those faced by high-income countries such as regulation, lack of clinical studies and need to adapt clinical studies to PM. They appear in all stages of the innovation cycle, from research to widespread use. Research limitations/implications The research method was a case study, so the findings cannot be extrapolated to other contexts. A limited number of professionals were interviewed, their opinions may not reflect those of their organizations. Originality/value There are several studies that discuss how health-care systems in high-income countries could incorporate these new technologies, but only a few focuses on low or middle-income countries such as Brazil.


2021 ◽  
Vol 33 (1) ◽  
pp. 189-192
Author(s):  
Shiv Shankar Sharma ◽  
Daljeet Kaur ◽  
Taranjeet Kaur Chawla ◽  
Vaishali Kapoor

Background: During the time of COVID 19, public health care institutions have used social media to inform and aware society. Aim & Objective: To analyze how Public Health Care Institutes conveyed the health information and messages through social media platform- Twitter during COVID 19, and analyzing its impact through sentiment analysis of comments. Material & Methods: The Thematic and sentiment analysis method has been used to analyze the data of the Twitter handle of AIIMS, Raipur in two phases; January-March 2020, and April-June 2020.  Results: The analysis shows that the sharing of COVID-19 updates on AIIMS, Raipur Twitter handle increased the followers 15 times from 2,000+ in March 2020 to 30,000+ in June 2020, and the sentiment analysis reflects that COVID related updates received 96.7 % positive comments. Conclusion: The case study finds that transparent and informative message sharing through social media by public health care institutions can create an effective channel of communication. This results in a positive institutional image.


2010 ◽  
Author(s):  
G. Raffaele ◽  
A. Cataldo ◽  
F. Nazzicone ◽  
M. Di Cecio

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