Understanding Government Decisions to De-fund Medical Services Analyzing the Impact of Problem Frames on Resource Allocation Policies

2021 ◽  
Author(s):  
Mark Embrett ◽  
Glen E. Randall
Keyword(s):  
Resource Allocation ◽  
Medical Services ◽  
Problem Frames ◽  
The Impact

Computers in Medical Care: A Review

1984 ◽  
Vol 23 (02) ◽  
pp. 63-74 ◽  
Author(s):  
Hans W. Gottinger
Keyword(s):  
Resource Allocation ◽  
Medical Care ◽  
Hospital Care ◽  
The Impact

SummaryThis survey provides an overview of major developments on the impact of computers in medical and hospital care over the last 25 years. Though the review emphasizes developments in the U. S. and their multi-faceted impacts upon resource allocation and regulation, a serious attempt is made to track those impacts being universally true in multinational environments.

scholarly journals The Impact of the Coronavirus Disease (COVID-19) on the Health and Social Needs of Sex Workers in Singapore

2021 ◽  
Author(s):  
Rayner Kay Jin Tan ◽  
Vanessa Ho ◽  
Sherry Sherqueshaa ◽  
Wany Dee ◽  
Jane Mingjie Lim ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Sex Work ◽  
Sex Workers ◽  
Social Needs ◽  
Medical Services ◽  
Substantial Impact ◽  
Sex Worker ◽  
Permanent Resident ◽  
The Impact ◽  
Depth Interviews

AbstractWe evaluated the impact of the coronavirus disease (COVID-19) on the sex work industry and assessed how it has impacted the health and social conditions of sex workers in Singapore. We conducted a sequential exploratory mixed methods study amidst the COVID-19 pandemic from April to October 2020, including in-depth interviews with 24 stakeholders from the sex work industry and surveyor-administered structured surveys with 171 sex workers. COVID-19 had a substantial impact on sex workers' income. The illegality of sex work, stigma, and the lack of work documentation were cited as exclusionary factors for access to alternative jobs or government relief. Sex workers had experienced an increase in food insecurity (57.3%), housing insecurity (32.8%), and sexual compromise (8.2%), as well as a decrease in access to medical services (16.4%). Being transgender female was positively associated with increased food insecurity (aPR = 1.23, 95% CI [1.08, 1.41]), housing insecurity (aPR = 1.28, 95% CI [1.03, 1.60]), and decreased access to medical services (aPR = 1.74, 95% CI [1.23, 2.46]); being a venue-based sex worker was positively associated with increased food insecurity (aPR = 1.46, 95% CI [1.00, 2.13]), and being a non-Singaporean citizen or permanent resident was positively associated with increased housing insecurity (aPR = 2.59, 95% CI [1.73, 3.85]). Our findings suggest that COVID-19 has led to a loss of income for sex workers, greater food and housing insecurity, increased sexual compromise, and reduced access to medical services for sex workers. A lack of access to government relief among sex workers exacerbated such conditions. Efforts to address such population health inequities should be implemented.

scholarly journals The impact of predictability on dual-task performance and implications for resource-sharing accounts

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Laura Broeker ◽  
Harald Ewolds ◽  
Rita F. de Oliveira ◽  
Stefan Künzell ◽  
Markus Raab
Keyword(s):  
Resource Allocation ◽  
Task Performance ◽  
Dual Task ◽  
Resource Sharing ◽  
Visual Information ◽  
Allocation Policy ◽  
Capacity Sharing ◽  
Dual Task Performance ◽  
Sound Sequence ◽  
The Impact

AbstractThe aim of this study was to examine the impact of predictability on dual-task performance by systematically manipulating predictability in either one of two tasks, as well as between tasks. According to capacity-sharing accounts of multitasking, assuming a general pool of resources two tasks can draw upon, predictability should reduce the need for resources and allow more resources to be used by the other task. However, it is currently not well understood what drives resource-allocation policy in dual tasks and which resource allocation policies participants pursue. We used a continuous tracking task together with an audiomotor task and manipulated advance visual information about the tracking path in the first experiment and a sound sequence in the second experiments (2a/b). Results show that performance predominantly improved in the predictable task but not in the unpredictable task, suggesting that participants did not invest more resources into the unpredictable task. One possible explanation was that the re-investment of resources into another task requires some relationship between the tasks. Therefore, in the third experiment, we covaried the two tasks by having sounds 250 ms before turning points in the tracking curve. This enabled participants to improve performance in both tasks, suggesting that resources were shared better between tasks.

scholarly journals Franco-British responses to chemical warfare 1915–8, with special reference to the medical services, casualty statistics and the threat to civilians

2021 ◽  
Vol 65 (2) ◽  
pp. 101-120
Author(s):  
Hanene Zoghlami
Keyword(s):  
Scientific Collaboration ◽  
Historical Narrative ◽  
Home Front ◽  
Medical Services ◽  
Striking Similarity ◽  
Chemical Weapon ◽  
The Impact ◽  
Compare And Contrast ◽  
British Chemical ◽  
Material Exchange

AbstractThis dual-focussed examination will critically compare and contrast the British Royal Army Medical Corps and the French Medical Service’s involvement in the Western Front chemical campaign between 1915 and 1918. Because the Anglophone historiography has tended to marginalise the French contribution to the allied chemical war, this article will attempt to re-balance the historical narrative by emphasising the collective nature and importance of this joint Franco-British enterprise. By interrogating a raft of under-utilised primary evidence in the French and British archives, this investigation will contribute to the ‘alliance literature’ by arguing that when it comes to aspects of the Franco-British chemical war such as the co-operation of the medical services, the appellation ‘together but alone’ does not fully hold. The article will explore avenues of the two national armies evolving process of mutual medical assistance, material exchange and scientific collaboration. The striking similarity of French and British gas casualty statistics is highlighted with reference to the overall congruence of their anti-gas strategies – notwithstanding the problematic nature of these statistics. In addition to enhancing soldiers’ resistance to the poison gas threat on the battlefield, the Medical Services were also responsible for the protection of local civilians in the war zones. With reference mainly to France, this investigation will discuss the significance and implications of the poison gas threat to the home front. Finally, the impact of chemical weapon production upon civilian war workers in France and Britain will be commented upon.

scholarly journals Balancing scarce hospital resources during the COVID-19 pandemic using discrete-event simulation

2021 ◽  
Author(s):  
G.J. Melman ◽  
A.K. Parlikad ◽  
E.A.B. Cameron
Keyword(s):  
Resource Allocation ◽  
Discrete Event Simulation ◽  
Elective Surgery ◽  
Discrete Event ◽  
Specific Patient ◽  
Event Simulation ◽  
The Impact ◽  
Allocation Decisions ◽  
Allocation Strategies ◽  
Resource Allocation Decisions

AbstractCOVID-19 has disrupted healthcare operations and resulted in large-scale cancellations of elective surgery. Hospitals throughout the world made life-altering resource allocation decisions and prioritised the care of COVID-19 patients. Without effective models to evaluate resource allocation strategies encompassing COVID-19 and non-COVID-19 care, hospitals face the risk of making sub-optimal local resource allocation decisions. A discrete-event-simulation model is proposed in this paper to describe COVID-19, elective surgery, and emergency surgery patient flows. COVID-19-specific patient flows and a surgical patient flow network were constructed based on data of 475 COVID-19 patients and 28,831 non-COVID-19 patients in Addenbrooke’s hospital in the UK. The model enabled the evaluation of three resource allocation strategies, for two COVID-19 wave scenarios: proactive cancellation of elective surgery, reactive cancellation of elective surgery, and ring-fencing operating theatre capacity. The results suggest that a ring-fencing strategy outperforms the other strategies, regardless of the COVID-19 scenario, in terms of total direct deaths and the number of surgeries performed. However, this does come at the cost of 50% more critical care rejections. In terms of aggregate hospital performance, a reactive cancellation strategy prioritising COVID-19 is no longer favourable if more than 7.3% of elective surgeries can be considered life-saving. Additionally, the model demonstrates the impact of timely hospital preparation and staff availability, on the ability to treat patients during a pandemic. The model can aid hospitals worldwide during pandemics and disasters, to evaluate their resource allocation strategies and identify the effect of redefining the prioritisation of patients.

scholarly journals How Does Environmental Regulation Affect Industrial Transformation? A Study Based on the Methodology of Policy Simulation

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Wei Liu ◽  
Jian Tong ◽  
Xiaohang Yue
Keyword(s):  
Resource Allocation ◽  
Environmental Regulation ◽  
Spillover Effect ◽  
Policy Simulation ◽  
Industrial Transformation ◽  
Input Structure ◽  
Distortion Effect ◽  
The Difference ◽  
The Impact ◽  
Factor Input

The difference of factor input structure determines different response to environmental regulation. This paper constructs a theoretical model including environmental regulation, factor input structure, and industrial transformation and conducts a policy simulation based on the difference of influencing mechanism of environmental regulation considering industrial heterogeneity. The findings show that the impact of environmental regulation on industrial transformation presents comparison of distortion effect of resource allocation and technology effect. Environmental regulation will promote industrial transformation when technology effect of environmental regulation is stronger than distortion effect of resource allocation. Particularly, command-control environmental regulation has a significant incentive effect and spillover effect of technological innovation on cleaning industries, but these effects do not exist in pollution-intensive industries. Command-control environmental regulation promotes industrial transformation. The result of simulation showed that environmental regulation of market incentives is similar to that of command-control.

The impact of the policy of free medical services on the population in Ambon of Indonesia

2021 ◽  
Author(s):  
Xin Zhao ◽  
Fang Tan ◽  
Weiwei Liu ◽  
Qin Li
Keyword(s):  
Medical Services ◽  
The Impact

scholarly journals The Administration of Prehospital Ketamine for Chemical Restraint does not Prolong On-Scene Times Compared to Haloperidol Based Sedation

2015 ◽  
Vol 12 (1) ◽  
Author(s):  
Aaron Burnett ◽  
Dolly Panchal ◽  
Bjorn Peterson ◽  
Eric Ernest ◽  
Kent Griffith ◽  
...  
Keyword(s):  
Emergency Medical Services ◽  
Chart Review ◽  
Retrospective Chart Review ◽  
T Test ◽  
Medical Services ◽  
Demographic Differences ◽  
Chemical Restraint ◽  
Emergency Medical ◽  
Clinically Significant ◽  
The Impact

IntroductionAgitated patients who present a danger to themselves or emergency medical services (EMS) providers may require chemical restraints.  Haloperidol is employed for chemical restraint in many EMS services.  Recently, ketamine has been introduced as an alternate option for prehospital sedation.  On-scene time is a unique metric in prehospital medicine which has been linked to outcomes in multiple patient populations. When used for chemical restraint, the impact of ketamine relative to haloperidol on on-scene time is unknown.Objective: To evaluate whether the use of ketamine for chemical restraint was associated with a clinically significant (≥5 minute) increased on-scene time compared to a haloperidol based regimen.MethodsPatients who received haloperidol or ketamine for chemical restraint were identified by retrospective chart review.  On-scene time was compared between groups using an unadjusted Student t-test powered to 80% to detect a ≥5 minute difference in on-scene time.Results110 cases were abstracted (Haloperidol = 55; Ketamine = 55). Of the patients receiving haloperidol, 11/55 (20%) were co-administered a benzodiazepine, 4/55 (7%) received diphenhydramine and 34/55 (62%) received the three drugs in combination. There were no demographic differences between the haloperidol and ketamine groups.  On-scene time was not statistically different for patients receiving a haloperidol based regimen compared to ketamine (18.2 minutes, [95% CI 15.7-20.8] vs. 17.6 minutes, [95% CI 15.1-20.0]; p = 0.71).ConclusionsThe use of prehospital ketamine for chemical restraint was not associated with a clinically significant (≥5 minute) increased on-scene time compared to a haloperidol based regimen.  

scholarly journals SMALLHOLDER FARMERS’ RESOURCE ALLOCATION DECISIONS IN A MAIZE-FARMING SYSTEM UNDER CLIMATE RISKS IN MALAWI

AGROFOR ◽  
2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Ruth MAGRETA ◽  
Henderson NG’ONG’OLA ◽  
Julius MANGISONI ◽  
Kennedy MACHILA ◽  
Sika GBEGBELEGBE
Keyword(s):  
Resource Allocation ◽  
Smallholder Farmers ◽  
Farming Systems ◽  
The Body ◽  
Research Station ◽  
Climatic Data ◽  
Climatic Risk ◽  
The Impact ◽  
Allocation Decisions ◽  
Resource Allocation Decisions

Using household data from Lilongwe districts, along with crop phenology, agronomic management and climatic data from Chitedze Research Station, the Target-MOTAD and DSSAT-CSM models examined the resource allocation decisions of smallholder farmers in maize farming systems under climate risk in Malawi. Specific aims were to evaluate the ability of DSSAT to predict and collate DTM and non-DTM yields under climatic risk and to use a bio-economic procedure developed using DSSAT and Target-MOTAD to explore the impact of climatic risk on allocation of resources to DTM and non-DTM production. The paper argues that higher average yields observed from DTM varieties make it the most optimal maize production plan, in maximizing household incomes, food security, and minimizing deviations from the mean while meeting the set target incomes of farmers compared to non-DTM varieties. The multidisciplinary nature of this paper has contributed to the body of research by providing a powerful analytical procedure of modelling farmers’ resource allocation decisions in maize based farming systems in Malawi. This study necessitates the use of a combination of biophysical and economic procedures when evaluating promising lines prior to variety release in order to identify the high yielding variety that will continuously bring sustained profits to the farmers amidst climate change.

scholarly journals Optimal and Robust Distributed Resource Allocation for SWIPT-Enabled Cognitive Networks

2020 ◽  
Author(s):  
Yongjun Xu ◽  
Haijian Sun ◽  
Jie Yang ◽  
Guan Gui ◽  
Song Guo
Keyword(s):  
Resource Allocation ◽  
Closed Form ◽  
Power Allocation ◽  
Energy Region ◽  
High Energy ◽  
Cognitive Networks ◽  
Feasible Region ◽  
Power Splitting ◽  
Joint Power ◽  
The Impact

Simultaneous wireless information and power transfer (SWIPT)-enabled cognitive networks (CRNs) is recognized as one of the most promising techniques to improve spectrum efficiency and prolong operation lifetime in 5G and beyond. However, existing methods focus on the centralized algorithm and the power allocation under perfect channel state information (CSI). The analytical solution and the impact of power splitting (PS) on the optimal power allocation strategy are not addressed. In addition, the influence of the PS factor on the feasible region of transit power is rarely analyzed. In this paper, we propose a joint power allocation and PS algorithm under perfect CSI and imperfect CSI, respectively, for multiuser SWIPT-enabled CRNs scenarios. The power minimization of resource allocation problem is formulated as a multivariate nonconvex optimization which is hard to obtain the closed-form solution. Hence, we propose a suboptimal algorithm to alternatively optimize the power allocation and PS coefficient under the cases of the low-harvested energy region and the high-harvested energy region, respectively. Moreover, a closed-form distributed power allocation and PS expressions are derived by the Lagrangian approach. Simulation results confirm the proposed method with good robustness and high energy efficiency.

Sign in / Sign up

Export Citation Format

Share Document