Beware the legal ramifications of impulsive, contradictory termination decisions

2018 ◽  
Vol 14 (10) ◽  
pp. 1-3
Author(s):  
Timothy O'Brien
2020 ◽  
Vol 2020 (1) ◽  
pp. 13532
Author(s):  
Nina Hampl ◽  
Werner Helmut Hoffmann ◽  
Tobias Knoll

2011 ◽  
Vol 403-408 ◽  
pp. 4098-4102
Author(s):  
Jing Rong Dong ◽  
Yu Ke Chen

Research and development (R&D) project termination decision is an important and challenging task for organizations with R&D project management .Current research on R&D project management mainly focuses on project selection decisions. Very little research has been done on the termination decision of R&D projects .In this paper a support vector machines classifer for assisting managers in deciding whether to abandon an ongoing R&D project at various stages of R&D is presented. It has also shown by the modeling and pattern recognizing results in terms of termination decisions of fifty R&D projects that the method possesses reinforcement learning properties and universalized capabilities. With respect to modeling and termination decision of R&D project, which has the fact that the evaluation criteria are hardly ever determined by conventional approaches such as statistical analysis, the method is available.


Author(s):  
Ekaterina Pivovarova ◽  
Philip J. Candilis

This chapter examines how clinical investigators ensure the safety of psychiatric research participants while maintaining the integrity of research protocols. It discusses the ethical issues arising from data monitoring, disclosure of interim data, and termination of clinical trials. It outlines unique features of psychiatric research and related cultural issues that may warrant consideration before and during clinical trials. It focuses on the Data Safety Monitoring Boards (DSMBs) overseeing clinical trials their development of detailed plans for monitoring safety and protocol adherence. It looks at the use of statistical programs by DSMBs to document the progression of research studies and make early termination decisions; whether DSMBs actually improve the safety of participants or the integrity of research; how independent DSMBs are; and the factors that DSMBs consider when terminating a trial. Cultural issues involved in clinical trials and challenges that may compromise the neutrality and function of DSMBs are analyzed.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Joris Nas ◽  
Judith L Bonnes ◽  
Dominique V Verhaert ◽  
Wessel Keuper ◽  
Pierre van Grunsven ◽  
...  

Introduction: Termination of Resuscitation (TOR) rules have been designed to guide in-field termination decisions and reduce futile hospital transportations. The impact of such a rule may depend on regional infrastructure, arrest characteristics and pre-existent termination rates. Our region is characterized by high rates of bystander cardiopulmonary resuscitation (CPR), and Advanced Life Support (ALS) trained rescuers authorized to make termination decisions. We aim to investigate the actual in-field termination rates and the termination rates as recommended by the ALS-TOR rule. Furthermore, we studied factors associated with the actual termination decisions. Methods: Cohort of out-of-hospital cardiac arrest patients who were resuscitated in the Nijmegen area, the Netherlands (2008-2011). The ALS-TOR rule recommends termination in case all following criteria are met: unwitnessed arrest, no bystander CPR, no shock delivery, no return of spontaneous circulation (ROSC). Results: The observed percentage of in-field termination was 46% (275/598), while the ALS-TOR rule recommended termination in only 6% (35/588), owing to high percentages of witnessed arrests (73%) and bystander CPR (54%) in our region. Factors independently associated with the actual decisions to terminate resuscitation were absence of ROSC [aOR 35.6 (95% CI 18.3-69.3)], non-shockable initial rhythm [aOR 6.0 (95% CI 3.2-11.0)], unwitnessed arrest [aOR 2.7 (95% CI 1.4-5.2)], non-public arrest [aOR 2.5 (95% CI 1.2-5.0)] and longer EMS-response times [aOR 1.1 per minute increase (95% CI 1.0-1.2)]. Conclusions: Contrary to previous studies, implementation of the ALS-TOR rule in our region would have decreased termination rates from almost half to less than 10% due to the favourable arrest characteristics. In light of the prognosis after OHCA, this finding suggests that adherence to this set of criteria does not contribute to efficient triage in our population. Therefore it seems prudent to locally evaluate the utility of the ALS-TOR rule prior to implementation.


2021 ◽  
Author(s):  
Simone Santamaria

Prior research suggests portfolio entrepreneurs—businesspeople who run more than one firm simultaneously—launch more successful ventures than their single-business counterparts. However, their ventures are less likely to survive. In an attempt to reconcile this paradox, this paper presents a framework in which portfolio entrepreneurs’ main advantage is not a superior ability to select the best business opportunities ex ante, but rather the ability to redeploy human and capital resources across businesses ex post, which reduces the sunkenness of their investments in new projects. This redeployment option facilitates their exit from new businesses that fail initial market tests. Thus, portfolio entrepreneurs’ heterogeneous termination decisions explain a greater portion of new firm performance differential than ex ante opportunity selection. We test these ideas using a longitudinal data set of more than 5,700 entrepreneurs and find consistent evidence. Portfolio companies do not show systematically higher performance at the time of entry; a performance difference emerges only over time, as the selection effect and resource redeployment occur. This paper was accepted by Ashish Arora, entrepreneurship and innovation.


Demography ◽  
2013 ◽  
Vol 50 (5) ◽  
pp. 1739-1764 ◽  
Author(s):  
Julie DaVanzo ◽  
Mizanur Rahman ◽  
Shahabuddin Ahmed ◽  
Abdur Razzaque

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