Unintended Consequences: The Impact on Women of Twelfth-Century Educational Changes in Europe

2021 ◽  
Author(s):  
Patricia J.F. Rosof
2020 ◽  
Vol 91 (8) ◽  
pp. 651-661
Author(s):  
Joshua T. Davis ◽  
Hilary A. Uyhelji

INTRODUCTION: Although the impact of microorganisms on their hosts has been investigated for decades, recent technological advances have permitted high-throughput studies of the collective microbial genomes colonizing a host or habitat, also known as the microbiome. This literature review presents an overview of microbiome research, with an emphasis on topics that have the potential for future applications to aviation safety. In humans, research is beginning to suggest relationships of the microbiome with physical disorders, including type 1 and type 2 diabetes mellitus, cardiovascular disease, and respiratory disease. The microbiome also has been associated with psychological health, including depression, anxiety, and the social complications that arise in autism spectrum disorders. Pharmaceuticals can alter microbiome diversity, and may lead to unintended consequences both short and long-term. As research strengthens understanding of the connections between the microbiota and human health, several potential applications for aerospace medicine and aviation safety emerge. For example, information derived from tests of the microbiota has potential future relevance for medical certification of pilots, accident investigation, and evaluation of fitness for duty in aerospace operations. Moreover, air travel may impact the microbiome of passengers and crew, including potential impacts on the spread of disease nationally and internationally. Construction, maintenance, and cleaning regimens that consider the potential for microbial colonization in airports and cabin environments may promote the health of travelers. Altogether, the mounting knowledge of microbiome effects on health presents several opportunities for future research into how and whether microbiome-based insights could be used to improve aviation safety.Davis JT, Uyhelji HA. Aviation and the microbiome. Aerosp Med Hum Perform. 2020; 91(8):651–661.


2021 ◽  
Vol 6 (1) ◽  
pp. 238146832199040
Author(s):  
Gregory S. Zaric

Background. Pharmaceutical risk sharing agreements (RSAs) are commonly used to manage uncertainties in costs and/or clinical benefits when new drugs are added to a formulary. However, existing mathematical models of RSAs ignore the impact of RSAs on clinical and financial risk. Methods. We develop a model in which the number of patients, total drug consumption per patient, and incremental health benefits per patient are uncertain at the time of the introduction of a new drug. We use the model to evaluate the impact of six common RSAs on total drug costs and total net monetary benefit (NMB). Results. We show that, relative to not having an RSA in place, each RSA reduces expected total drug costs and increases expected total NMB. Each RSA also improves two measures of risk by reducing the probability that total drug costs exceed any threshold and reducing the probability of obtaining negative NMB. However, the effects on variance in both NMB and total drug costs are mixed. In some cases, relative to not having an RSA in place, implementing an RSA can increase variability in total drug costs or total NMB. We also show that, for some RSAs, when their parameters are adjusted so that they have the same impact on expected total drug cost, they can be rank-ordered in terms of their impact on variance in drug costs. Conclusions. Although all RSAs reduce expected total drug costs and increase expected total NMB, some RSAs may actually have the undesirable effect of increasing risk. Payers and formulary managers should be aware of these mean-variance tradeoffs and the potentially unintended results of RSAs when designing and negotiating RSAs.


Diagnosis ◽  
2017 ◽  
Vol 4 (4) ◽  
pp. 211-223 ◽  
Author(s):  
Mark L. Graber ◽  
Colene Byrne ◽  
Doug Johnston

AbstractDiagnostic error may be the largest unaddressed patient safety concern in the United States, responsible for an estimated 40,000–80,000 deaths annually. With the electronic health record (EHR) now in near universal use, the goal of this narrative review is to synthesize evidence and opinion regarding the impact of the EHR and health care information technology (health IT) on the diagnostic process and its outcomes. We consider the many ways in which the EHR and health IT facilitate diagnosis and improve the diagnostic process, and conversely the major ways in which it is problematic, including the unintended consequences that contribute to diagnostic error and sometimes patient deaths. We conclude with a summary of suggestions for improving the safety and safe use of these resources for diagnosis in the future.


2021 ◽  
pp. 136749352110399
Author(s):  
Stephanie Allen ◽  
Stephen K Bradley ◽  
Eileen Savage

Parent programmes are often used in the clinical management of children with ADHD. Research into parent programmes has predominantly been concerned with their effectiveness and much less attention has been paid to the impact that they may be having on the family and the inter-relationships between family members. This study explores the perspectives and experiences of parents of children with ADHD, who participated in a parent programme, including its impact on the family unit. A purposive sample of six mothers of children with ADHD who completed a 1-2-3 Magic parent programme in Ireland was invited to take part in this qualitative study. Data were collected by means of individual in-depth, semi-structured interviews and a narrative inquiry approach further informed analysis of the interview data. Two major narrative constructions of experience: ‘parent programme as positive’ and ‘parent programme as negative’ were identified. Outcomes from this study illustrated some unintended consequences caused by the parent programme (i.e. sibling rivalry and conflict arising between family members). Mothers believed that the parent programme was a beneficial intervention, but it was not without its flaws and they felt it was helpful for their family when used in conjunction with other supports and mediations.


2021 ◽  
Author(s):  
Olga Bountali ◽  
Sila Çetinkaya ◽  
Vishal Ahuja

We analyze a congested healthcare delivery setting resulting from emergency treatment of a chronic disease on a regular basis. A prominent example of the problem of interest is congestion in the emergency room (ER) at a publicly funded safety net hospital resulting from recurrent arrivals of uninsured end-stage renal disease patients needing dialysis (a.k.a. compassionate dialysis). Unfortunately, this is the only treatment option for un/under-funded patients (e.g., undocumented immigrants) with ESRD, and it is available only when the patient’s clinical condition is deemed as life-threatening after a mandatory protocol, including an initial screening assessment in the ER as dictated and communicated by hospital administration and county policy. After the screening assessment, the so-called treatment restrictions are in place, and a certain percentage of patients are sent back home; the ER, thus, serves as a screening stage. The intention here is to control system load and, hence, overcrowding via restricting service (i.e., dialysis) for recurrent arrivals as a result of the chronic nature of the underlying disease. In order to develop a deeper understanding of potential unintended consequences, we model the problem setting as a stylized queueing network with recurrent arrivals and restricted service subject to the mandatory screening assessment in the ER. We obtain analytical expressions of fundamental quantitative metrics related to network characteristics along with more sophisticated performance measures. The performance measures of interest include both traditional and new problem-specific metrics, such as those that are indicative of deterioration in patient welfare because of rejections and treatment delays. We identify cases for which treatment restrictions alone may alleviate or lead to severe congestion and treatment delays, thereby impacting both the system operation and patient welfare. The fundamental insight we offer is centered around the finding that the impact of mandatory protocol on network characteristics as well as traditional and problem-specific performance measures is nontrivial and counterintuitive. However, impact is analytically and/or numerically quantifiable via our approach. Overall, our quantitative results demonstrate that the thinking behind the mandatory protocol is potentially naive. This is because the approach does not necessarily serve its intended purpose of controlling system-load and overcrowding.


2019 ◽  
pp. 107-120
Author(s):  
Robert Chazan

Beginning in the twelfth century, edicts of expulsion set in motion for the first time since early antiquity forced Jewish population movement. There have arguably been two further sources of pre-modern involuntary Jewish migration—repressive governmental edicts that made Jewish life spiritually or materially impossible and popular violence so threatening as to necessitate flight. Neither of these pressures is clear-cut in its impact, as were the edicts of expulsion from European states. This chapter considers the impact of both these pressures on Jewish population movement. It describes instances of abrogation of basic Jewish religious rights, expressed as governmental demands that Jews convert to the ruling faith.


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