scholarly journals The Diffusion of Health Care Fraud: A Network Analysis

2021 ◽  
Author(s):  
A. James O'Malley ◽  
Thomas Bubolz ◽  
Jonathan Skinner
Keyword(s):  
Health Care ◽  
Network Analysis ◽  
Health Care Fraud

A survey on statistical methods for health care fraud detection

2008 ◽  
Vol 11 (3) ◽  
pp. 275-287 ◽  
Author(s):  
Jing Li ◽  
Kuei-Ying Huang ◽  
Jionghua Jin ◽  
Jianjun Shi
Keyword(s):  
Health Care ◽  
Statistical Methods ◽  
Fraud Detection ◽  
Health Care Fraud

scholarly journals Application of Social Network Analysis to Health Care Sectors

2012 ◽  
Vol 18 (1) ◽  
pp. 44 ◽  
Author(s):  
Hae Lan Jang ◽  
Young Sung Lee ◽  
Ji-Young An
Keyword(s):  
Health Care ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis

scholarly journals Health Care Workers’ Mental Health During the First Weeks of the SARS-CoV-2 Pandemic in Switzerland – A Cross-Sectional Study

2020 ◽  
Author(s):  
Sonja Weilenmann ◽  
Jutta Ernst ◽  
Heidi Petry ◽  
Monique C. Pfaltz ◽  
Onur Sazpinar ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Network Analysis ◽  
Health Care Workers ◽  
Well Being ◽  
Perceived Support ◽  
Independent Effect ◽  
Cross Sectional ◽  
Care Workers ◽  
Anxiety Depression

AbstractBackgroundThe current SARS-CoV-2 pandemic poses various challenges for health care workers (HCWs), which may impair their mental health. First evidence from China suggests that HCWs are at risk for anxiety and depression. However, generalizability to western countries is limited. The current study aimed at exploring HCWs’ mental health during the SARS-CoV-2 pandemic in Switzerland. In addition, we conducted a network analysis to investigate the independent effect of risk and protective factors on HCWs’ mental health and their interplay.MethodsIn an exploratory, cross-sectional, nation-wide online survey, we assessed demographics, work characteristics, COVID-19 exposure, and anxiety, depression, and burnout in 857 physicians and 553 nurses during the pandemic in Switzerland. At the time of data collection, Switzerland had among the highest per capita rate of COVID-19 cases in the world.ResultsOverall symptom levels of anxiety, depression, and burnout were elevated. Women, nurses, frontline staff and HCWs exposed to COVID-19 patients reported more symptoms than their peers. However, these effects were all small and, in the network analysis, most of them did not remain significant after controlling for the other factors. Whereas COVID-19 exposure was only partially associated with mental health, perceived support by the employer independently predicted anxiety and burnout.ConclusionsOur finding that HCWs had elevated levels of anxiety, depression, and burnout underscores the importance to systematically monitor HCWs’ mental health during this ongoing pandemic. Because perceived support and mental health impairments were negatively related, we encourage the implementation of supportive measures for HCWs’ well-being during this crisis.

Real-World Evidence in the Real World: Beyond the FDA

2018 ◽  
Vol 44 (2-3) ◽  
pp. 161-179 ◽  
Author(s):  
Joan H. Krause ◽  
Richard S. Saver
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Real World ◽  
Regulatory Oversight ◽  
The Real ◽  
Health Care Fraud ◽  
Fda Approval ◽  
Real World Evidence ◽  
Potential Benefits ◽  
Care System

The 21st Century Cures Act (“Cures Act”) relies on the concept of real-world evidence (“RWE”) to improve the Food and Drug Administration (“FDA”) approval process. This has amplified interest and furthered momentum in applying RWE more broadly, beyond FDA regulation. In this article, we discuss the understandable appeal of RWE's pragmatic application and its many potential benefits. But we also caution that claims about RWE's wide-ranging, ameliorative impact on the health care system are likely overstated.The real world of RWE is messy and uncertain. Successfully incorporating RWE into regular health care system decision-making, beyond the FDA, faces considerable obstacles and limitations. We review the reasons to be wary about RWE as a game-changer. These concerns including data reliability, insufficient incentives for stakeholders to generate and engage with high-quality RWE, and lack of comprehensive regulatory oversight. In addition, the push for RWE may impact the enforcement of the health care fraud and abuse laws, perhaps not in necessarily positive ways. Increased reliance on RWE may have significant implications for off-label fraud enforcement, further conflating the distinction between claims that are false for reimbursement rather than for scientific purposes.

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