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Medical insurance fraud (MIF) poses a substantial global financial challenge, necessitating effective regulatory strategies, especially in China, where such measures are in a critical developmental phase. This study investigates the effectiveness of various regulatory components in deterring MIF among enrollees and explores preference heterogeneity among individuals with different characteristics, utilizing a discrete choice experiment survey. Grounded in deterrence theory, our conceptual framework incorporates five attributes: intensity of economic penalties, restrictions on medical insurance benefits, deterioration of social reputation, and certainty and celerity of penalties. Employing a D-efficiency design, 24 choice sets were generated and blocked into three versions. A multistage stratified sampling method was adopted to collect data from the basic medical insurance enrollees in Shanghai. The survey was conducted from September to October 2022. The sample representativeness was further improved via the entropy balancing approach. Data from the final sample of 1034 respondents were analyzed using mixed logit models (MIXLs), incorporating interactions with individual characteristics to assess preference heterogeneity. Results reveal that escalating economic penalties, suspending insurance benefits, listing individuals as unfaithful parties, ensuring penalty certainty, and expediting enforcement significantly enhance the deterrent effect. We observed preference heterogeneity across different demographics, including age, gender, education, health status, and employment status. The study underscores the pivotal role of economic penalties in deterring MIF, while also acknowledging the significance of non-economic measures such as enforcement efficiency and social sanctions. These findings offer valuable insights for policymakers to tailor and strengthen regulatory schemes against MIF, contributing to the advancement of more effective and precise healthcare policies., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Older adults are thought to be more susceptible to scams, yet understanding the relationship between chronological age and victimization is limited by underreporting. This study avoids underreporting bias by merging four longitudinal databases of Americans ( N  = 1.33 million) who paid money in response to mail scams over 20 years. We investigate the risk of repeat victimization and victimization by multiple scam types over the life course. Victims in their 70s and 80s are 9% more likely to experience another victimization incident than those in their 50s. Those age 18 to 29 are 24% less likely to experience another victimization incident. Relative to adults in their 50s, the odds of victimization by multiple scams are greater for those in their 60s and 70s, but lower for those 80 + . This study demonstrates the research potential in using scammers' data to understand patterns of victimization. Fraud prevention efforts should target older individuals who are at higher risk of repeat victimization and suffer greater losses as a result.

Medical corruption is a significant obstacle to achieving health-related Sustainable Development Goals. However, the understanding of medical corruption is limited, especially in developing countries. As the largest developing country, China is also plagued by medical corruption. By employing a mixed-methods design and combining data from three resources, this study attempts to examine patterns of medical corruption in China, explore its key drivers and investigate the perceived effectiveness of recent anti-corruption interventions. Using extracted data from 3546 cases on the China Judgments Online website between 2013 and 2019, we found that bribery, embezzlement and insurance fraud accounted for 68.1%, 22.8% and 9.1% of all medical corruption cases, respectively. Bribery was the major form of medical corruption. Approximately 80% of bribe-takers were healthcare providers, and most bribe-givers were suppliers of pharmaceuticals, medical equipment and consumables. Using a nationally representative household survey, we further found that the prevalence of informal payments from patients remained at a low level between 2011 and 2018. In 2018, only 0.4% of outpatients and 1.4% of inpatients reported that they had ever given 'red envelopes' to physicians in the past. Finally, we conducted interviews with 17 key informants to explore drivers of medical corruption and investigated the perceived effectiveness of recent anti-corruption interventions in China. Interview results showed that financial pressure and weak oversight were two main reasons for corrupt behaviours. Interview results also suggested that the anti-corruption campaign since 2012, the national volume-based procurement, and the special campaign against medical insurance fraud had reduced opportunities for medical corruption, implying China's positive progress in combating medical corruption. These findings hold lessons for anti-corruption interventions in China as well as other developing countries., (© The Author(s) 2023. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

The scandals in publicly listed companies have highlighted the large losses that can result from financial statement fraud and weak corporate governance. Machine learning techniques have been applied to automatically detect financial statement fraud with great success. This work presents the first application of a Bayesian inference approach to the problem of predicting the audit outcomes of financial statements of local government entities using financial ratios. Bayesian logistic regression (BLR) with automatic relevance determination (BLR-ARD) is applied to predict audit outcomes. The benefit of using BLR-ARD, instead of BLR without ARD, is that it allows one to automatically determine which input features are the most relevant for the task at hand, which is a critical aspect to consider when designing decision support systems. This work presents the first implementation of BLR-ARD trained with Separable Shadow Hamiltonian Hybrid Monte Carlo, No-U-Turn sampler, Metropolis Adjusted Langevin Algorithm and Metropolis-Hasting algorithms. Unlike the Gibbs sampling procedure that is typically employed in sampling from ARD models, in this work we jointly sample the parameters and the hyperparameters by putting a log normal prior on the hyperparameters. The analysis also shows that the repairs and maintenance as a percentage of total assets ratio, current ratio, debt to total operating revenue, net operating surplus margin and capital cost to total operating expenditure ratio are the important features when predicting local government audit outcomes using financial ratios. These results could be of use for auditors as focusing on these ratios could potentially speed up the detection of fraudulent behaviour in municipal entities, and improve the speed and quality of the overall audit., Competing Interests: The authors have declared that no competing interests exist.

Air pollution has a severe impact on human physical and mental health. When the air quality is poor enough to cause respiratory irritation, people tend to stay home and avoid any outdoor activities. In addition, air pollution may cause mental health problems (depression and anxiety) which were associated with high crime risk. Therefore, in this study, it is hypothesized that increasing air pollution level is associated with higher indoor crime rates, but negatively associated with outdoor crime rates because it restricts people's daily outdoor activities. Three types of crimes were used for this analysis: robbery (outdoor crime), domestic violence (indoor crime), and fraud (cybercrime). The results revealed that the geographically and temporally weighted regression (GTWR) model performed best with lower AIC values. In general, in the higher population areas with more severe air pollution, local authorities should allocate more resources, extra police officers, or more training programs to help them prevent domestic violence, rather than focusing on robbery., Competing Interests: The authors have declared that no competing interests exist.

Introduction: The use of nutritional supplements (NSs) is a widespread practice in both professional and amateur athletes. Their choice must be based on criteria of safety, legality, and effectiveness. There are several risks that some of these products can trigger, this being a reason for fraud to the consumer. By way of example, the presence of a legal substance in doses higher than its recommendation may cause unwanted side effects; on the other hand, its presence in quantities lower than necessary (effective threshold) may not have the effect expected or announced by the product. Therefore, the objective of this review was to describe the existence of fraud in relation to nutritional labeling and/or to the content of NSs intended for athletes. A narrative review was conducted through PubMed in which 16 studies met the inclusion criteria. The results show that nutritional labeling differs from the actual amounts of ingredients. This type of fraud has been found in protein powder supplements, pre-workout mixtures, creatine, and beverages containing vitamins and minerals, among others. Fraud due to errors in the labeling by omission of substances present in the product or by errors in the analysis or declaration of quantities, is high. This lack of transparency in the actual composition of labels can contribute to sports performance and/or health problems in the athlete. Therefore, an improvement of the legislation on NS is necessary to ensure their safety, effectiveness, and legality.

Objectives: The goal of this study was to investigate the perception of financial exploitation and its causes and consequences by older adults who have firsthand experience of being exploited., Method: Thirty-one cognitively healthy older adult participants aged 50 or older were drawn from the Finance, Cognition, and Health in Elders Study. In-depth, one-on-one interviews were conducted. Interview transcripts were analyzed using an iterative, data-driven, thematic coding scheme and emergent themes were summarized., Results: Categories of financial exploitation included (a) investment fraud, (b) wage theft/money owed, (c) consumer fraud, (d) imposter schemes, and (e) manipulation by a trusted person. Themes emerged around perceived causes: (a) element of trust, (b) promise of financial security, (c) lack of experience or awareness, (d) decision-making, and (e) interpersonal dynamics. Perceived consequences included negative and positive impacts around (a) finances, (b) financial/consumer behaviors (c) relationships and trust, (d) emotional impact, and (e) future outlook., Discussion: These narratives provide important insights into perceived financial exploitation experiences., (© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: To illustrate a method that accounts for sampling variation in identifying suppliers and counties with outlying rates of a particular pattern of inconsistent billing for ambulance services to Medicare., Data Sources: US Medicare claims for a 20% simple random sample of 2010-2014 fee-for-service beneficiaries., Study Design: We identified instances in which ambulance suppliers billed Medicare for transporting a patient to a hospital, but no corresponding hospital visit appeared in billing claims. We estimated the distributions of outlier supplier and county rates of such "ghost rides" by fitting a nonparametric empirical Bayes model with flexible distributional assumptions to account for sampling variation., Data Collection: We included Basic and advanced life support ground emergency ambulance claims with a hospital destination., Principal Findings: "Ghost ride" rates varied considerably across both ambulance suppliers and counties. We estimated 6.1% of suppliers and 5.0% of counties had rates that exceeded 3.6%, which was twice the national average of "ghost rides" (1.8% of all ambulance transports)., Conclusions: Health care fraud and abuse are frequently asserted but can be difficult to detect. Our data-driven approach may be a useful starting point for further investigation., (© 2021 Health Research and Educational Trust.)

The coronavirus pandemic has seen a marked rise in medical disinformation across social media. A variety of claims have garnered considerable traction, including the assertion that COVID is a hoax or deliberately manufactured, that 5G frequency radiation causes coronavirus, and that the pandemic is a ruse by big pharmaceutical companies to profiteer off a vaccine. An estimated 30% of some populations subscribe some form of COVID medico-scientific conspiracy narratives, with detrimental impacts for themselves and others. Consequently, exposing the lack of veracity of these claims is of considerable importance. Previous work has demonstrated that historical medical and scientific conspiracies are highly unlikely to be sustainable. In this article, an expanded model for a hypothetical en masse COVID conspiracy is derived. Analysis suggests that even under ideal circumstances for conspirators, commonly encountered conspiratorial claims are highly unlikely to endure, and would quickly be exposed. This work also explores the spectrum of medico-scientific acceptance, motivations behind propagation of falsehoods, and the urgent need for the medical and scientific community to anticipate and counter the emergence of falsehoods., Competing Interests: The author has declared that no competing interests exist.

We investigate the links between corruption and compliance with social distancing during COVID-19 pandemic in America. Both theory and empirical evidence point to a corrosive effect of corruption on trust/social capital which in turn determine people's behavior towards compliance with public health policies. Using data from 50 states we find that people who live in more corrupt states are less likely to comply with so called shelter in place/stay at home orders. Our results are robust to different measures of corruption., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Background: Individuals with large followings can influence public opinions and behaviors, especially during a pandemic. In the early days of the pandemic, US president Donald J Trump has endorsed the use of unproven therapies. Subsequently, a death attributed to the wrongful ingestion of a chloroquine-containing compound occurred., Objective: We investigated Donald J Trump's speeches and Twitter posts, as well as Google searches and Amazon purchases, and television airtime for mentions of hydroxychloroquine, chloroquine, azithromycin, and remdesivir., Methods: Twitter sourcing was catalogued with Factba.se, and analytics data, both past and present, were analyzed with Tweet Binder to assess average analytics data on key metrics. Donald J Trump's time spent discussing unverified treatments on the United States' 5 largest TV stations was catalogued with the Global Database of Events, Language, and Tone, and his speech transcripts were obtained from White House briefings. Google searches and shopping trends were analyzed with Google Trends. Amazon purchases were assessed using Helium 10 software., Results: From March 1 to April 30, 2020, Donald J Trump made 11 tweets about unproven therapies and mentioned these therapies 65 times in White House briefings, especially touting hydroxychloroquine and chloroquine. These tweets had an impression reach of 300% above Donald J Trump's average. Following these tweets, at least 2% of airtime on conservative networks for treatment modalities like azithromycin and continuous mentions of such treatments were observed on stations like Fox News. Google searches and purchases increased following his first press conference on March 19, 2020, and increased again following his tweets on March 21, 2020. The same is true for medications on Amazon, with purchases for medicine substitutes, such as hydroxychloroquine, increasing by 200%., Conclusions: Individuals in positions of power can sway public purchasing, resulting in undesired effects when the individuals' claims are unverified. Public health officials must work to dissuade the use of unproven treatments for COVID-19., (©Kacper Niburski, Oskar Niburski. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.11.2020.)

According to Wollack and Schoenig (2018, The Sage encyclopedia of educational research, measurement, and evaluation. Thousand Oaks, CA: Sage, 260), benefiting from item preknowledge is one of the three broad types of test fraud that occur in educational assessments. We use tools from constrained statistical inference to suggest a new statistic that is based on item scores and response times and can be used to detect examinees who may have benefited from item preknowledge for the case when the set of compromised items is known. The asymptotic distribution of the new statistic under no preknowledge is proved to be a simple mixture of two χ 2 distributions. We perform a detailed simulation study to show that the Type I error rate of the new statistic is very close to the nominal level and that the power of the new statistic is satisfactory in comparison to that of the existing statistics for detecting item preknowledge based on both item scores and response times. We also include a real data example to demonstrate the usefulness of the suggested statistic., (© 2019 The British Psychological Society.)

Survey-based studies on research fraud often feature narrow operationalizations of misbehavior and use limited samples. Such factors potentially hinder the development of strategies aimed at reducing the frequency of wrongdoing among researchers. This study asked full-time faculty members in the natural, social, and applied sciences how frequently six types of research fraud (i.e., data fabrication, plagiarism, data falsification, authorship fraud, publication fraud, and grant fraud) occur in their field of study. These data come from mail and online surveys that were administered to a stratified random sample of tenured and tenure-track faculty members (N = 613) at the top 100 research universities in the United States. Factor-analytic modeling demonstrated that the survey items load on the hypothesized latent constructs and also confirmed the presence of a second-order factor. A specific type of authorship fraud - gift authorship - was perceived to be the most prevalent overall. The least common fraud was a form of data fabrication (i.e., creating data from a study that was never actually conducted). The results were largely consistent with previous studies indicating that serious forms of fraud like data fabrication are relatively rare. Future survey-based studies should pay careful attention to the multidimensional nature of research fraud.

Background: Counterfeit medical devices and injectables have recently garnered interest in the field of aesthetics. Unlike their original counterparts, these counterfeit products have neither been tested nor verified using certified quality control measures., Objective: Our study investigated the pervasiveness of counterfeit products in the field as well as the experiences and attitudes of practitioners., Materials and Methods: An online survey was distributed to current members of the American Society for Dermatologic Surgery (ASDS) and the American Society for Laser Medicine and Surgery (ASLMS)., Results: For medical devices, 37.4% have encountered counterfeits and 20.1% have experienced patients with adverse events from them. For injectables, 41.1% have encountered counterfeits and 39.7% have experienced patients with adverse events from them. Compared with their original, most respondents believe that counterfeits are worse in terms of reliability, safety, and effectiveness. The majority also believe that counterfeits are either very or extremely endangering to patient safety., Conclusion: Counterfeit medical devices and injectables are not uncommonly encountered. Overall, practitioners believe counterfeits are endangering patient safety and result in adverse events and think that either stricter rules and regulations or better enforcement of existing regulations is necessary.

Fear, anxiety and even paranoia can proliferate during a pandemic. Such conditions, even when subclinical, tend to be a product of personal and predispositional factors, as well as shared cultural influences, including religious, literary, film, and gaming, all of which can lead to emotional and less than rational responses. They can render people vulnerable to engage in implausible conspiracy theories about the causes of illness and governmental responses to it. They can also lead people to give credence to simplistic and unscientific misrepresentations about medications and devices which are claimed to prevent, treat or cure disease. In turn such vulnerability creates predatory opportunities for the unscrupulous. This article notes the eruption of quackery during the 1889-1892 Russian Flu and the 1918-1920 Spanish Flu and the emergence during 2020 of spurious claims during the COVID-19 pandemic. It identifies consumer protection strategies and interventions formulated during the 2020 pandemic. Using examples from the United States, Japan, Australia and the United Kingdom, it argues that during a pandemic there is a need for three responses by government to the risks posed by conspiracy theories and false representations: calm, scientifically-based messaging from public health authorities; cease and desist warnings directed toward those making extravagant or inappropriate claims; and the taking of assertive and well publicised legal action against individuals and entities that make false representations in order to protect consumers rendered vulnerable by their emotional responses to the phenomenology of the pandemic., (Copyright © 2020. Published by Elsevier Ltd.)

Background: The coronavirus disease (COVID-19) pandemic is perhaps the greatest global health challenge of the last century. Accompanying this pandemic is a parallel "infodemic," including the online marketing and sale of unapproved, illegal, and counterfeit COVID-19 health products including testing kits, treatments, and other questionable "cures." Enabling the proliferation of this content is the growing ubiquity of internet-based technologies, including popular social media platforms that now have billions of global users., Objective: This study aims to collect, analyze, identify, and enable reporting of suspected fake, counterfeit, and unapproved COVID-19-related health care products from Twitter and Instagram., Methods: This study is conducted in two phases beginning with the collection of COVID-19-related Twitter and Instagram posts using a combination of web scraping on Instagram and filtering the public streaming Twitter application programming interface for keywords associated with suspect marketing and sale of COVID-19 products. The second phase involved data analysis using natural language processing (NLP) and deep learning to identify potential sellers that were then manually annotated for characteristics of interest. We also visualized illegal selling posts on a customized data dashboard to enable public health intelligence., Results: We collected a total of 6,029,323 tweets and 204,597 Instagram posts filtered for terms associated with suspect marketing and sale of COVID-19 health products from March to April for Twitter and February to May for Instagram. After applying our NLP and deep learning approaches, we identified 1271 tweets and 596 Instagram posts associated with questionable sales of COVID-19-related products. Generally, product introduction came in two waves, with the first consisting of questionable immunity-boosting treatments and a second involving suspect testing kits. We also detected a low volume of pharmaceuticals that have not been approved for COVID-19 treatment. Other major themes detected included products offered in different languages, various claims of product credibility, completely unsubstantiated products, unapproved testing modalities, and different payment and seller contact methods., Conclusions: Results from this study provide initial insight into one front of the "infodemic" fight against COVID-19 by characterizing what types of health products, selling claims, and types of sellers were active on two popular social media platforms at earlier stages of the pandemic. This cybercrime challenge is likely to continue as the pandemic progresses and more people seek access to COVID-19 testing and treatment. This data intelligence can help public health agencies, regulatory authorities, legitimate manufacturers, and technology platforms better remove and prevent this content from harming the public., (©Tim Ken Mackey, Jiawei Li, Vidya Purushothaman, Matthew Nali, Neal Shah, Cortni Bardier, Mingxiang Cai, Bryan Liang. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 25.08.2020.)

Antibiotics in aquaculture are used to treat bacterial infections. In order for these products to work effectively fish need to be properly dosed. One of the emerging issues in aquaculture is under-dosing large populations of fish with antibiotics. This happens inadvertently for a number of reasons including the use of fraudulent medications. In this study we evaluated 17 antibiotic products (8 florfenicol and 9 oxytetracycline brands purchased in Asia) by HPLC to determine if the product labels accurately reflected the active pharmaceutical ingredient (API) in the package. We determined authenticity scores for different batches of products at two separate laboratories by comparing the observed API to the label API concentration. We found that 48 % of the antibiotic batches had authenticity scores below 80 % (i.e. observed API in package was at least 20 % less than the label API concentration). Further, there were 9 or the 31 batches of drugs tested had no measureable API. Some products had variation in their authenticity scores between batches making it difficult to rely on a brand. The price of florfenicol products may help identify products with low authenticity scores, but in the case of oxytetracycline, the price of all the products tested was relatively similar. The findings in this study suggest that not all florfenicol and oxytetracycline antibiotic products on the market in Asia have API concentrations indicated on their labels. This could be problematic for medicating fish on aquaculture farms., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Objectives: The present systematic review aimed to perform an in-depth analysis of the different features of retracted publications in the dental field., Material and Methods: This review has been recorded in the PROSPERO database (CRD42017075634). Two independent reviewers performed an electronic search (Pubmed, Retraction Watch) for retracted articles in dental literature up to December 31, 2018., Results: 180 retracted papers were identified, the first published in 2001. Retractions increased by 47% in the last four-year period (2014-2018), when compared with 2009-2013 (94 and 64 retracted publications, respectively). Author misconduct was the most common reason for retraction (65.0%), followed by honest scientific errors (12.2%) and publisher-related issues (10.6%). The majority of retracted research was conducted in Asia (55.6%), with 49 papers written in India (27.2%). 552 researchers (89%) are listed as authors in only one retracted article, while 10 researchers (1.6%) are present in five or more retracted publications. Retracted articles were cited 530 times after retraction: the great majority of these citations (89.6%) did not consider the existence of the retraction notice and treated data from retracted articles as reliable., Conclusions: Retractions in dental literature have constantly increased in recent years, with the majority of them due to misconduct and fraud. The publication of unreliable research has many negative consequences. Studies derived from such material are designed on potentially incorrect bases, waste funds and resources, and most importantly, increase risk of incorrect treatment for patients. Citation of retracted papers represents a major issue for the scientific community., (© 2020 The Authors. Clinical and Experimental Dental Research published by John Wiley & Sons Ltd.)

Background: Since the beginning of December 2019, the coronavirus disease (COVID-19) has spread rapidly around the world, which has led to increased discussions across online platforms. These conversations have also included various conspiracies shared by social media users. Amongst them, a popular theory has linked 5G to the spread of COVID-19, leading to misinformation and the burning of 5G towers in the United Kingdom. The understanding of the drivers of fake news and quick policies oriented to isolate and rebate misinformation are keys to combating it., Objective: The aim of this study is to develop an understanding of the drivers of the 5G COVID-19 conspiracy theory and strategies to deal with such misinformation., Methods: This paper performs a social network analysis and content analysis of Twitter data from a 7-day period (Friday, March 27, 2020, to Saturday, April 4, 2020) in which the #5GCoronavirus hashtag was trending on Twitter in the United Kingdom. Influential users were analyzed through social network graph clusters. The size of the nodes were ranked by their betweenness centrality score, and the graph's vertices were grouped by cluster using the Clauset-Newman-Moore algorithm. The topics and web sources used were also examined., Results: Social network analysis identified that the two largest network structures consisted of an isolates group and a broadcast group. The analysis also revealed that there was a lack of an authority figure who was actively combating such misinformation. Content analysis revealed that, of 233 sample tweets, 34.8% (n=81) contained views that 5G and COVID-19 were linked, 32.2% (n=75) denounced the conspiracy theory, and 33.0% (n=77) were general tweets not expressing any personal views or opinions. Thus, 65.2% (n=152) of tweets derived from nonconspiracy theory supporters, which suggests that, although the topic attracted high volume, only a handful of users genuinely believed the conspiracy. This paper also shows that fake news websites were the most popular web source shared by users; although, YouTube videos were also shared. The study also identified an account whose sole aim was to spread the conspiracy theory on Twitter., Conclusions: The combination of quick and targeted interventions oriented to delegitimize the sources of fake information is key to reducing their impact. Those users voicing their views against the conspiracy theory, link baiting, or sharing humorous tweets inadvertently raised the profile of the topic, suggesting that policymakers should insist in the efforts of isolating opinions that are based on fake news. Many social media platforms provide users with the ability to report inappropriate content, which should be used. This study is the first to analyze the 5G conspiracy theory in the context of COVID-19 on Twitter offering practical guidance to health authorities in how, in the context of a pandemic, rumors may be combated in the future., (©Wasim Ahmed, Josep Vidal-Alaball, Joseph Downing, Francesc López Seguí. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 06.05.2020.)

During the economic crisis, developed countries have experienced financial fraud, with effects on the physical and mental health of the people affected, and on social domains. Based on the theoretical framework in literature reviews and in quantitative studies, this paper aims to obtain evidence on the effects of financial fraud on health and on the family and social environments of those affected. An intentional sample of 32 people affected by abusive and multi-currency mortgages, preferred and swap stock in Madrid was approached. In-depth interviews were conducted, and the resulting data was analysed using content analysis. Fraud-affected individuals had conditions of age, sex, educational level and occupations that possibly allowed them to accumulate economic resources throughout the course of their lives and, predictably in many cases, to take out fraudulent financial products, based on trust in the financial institutions. Financial fraud has led to the emergence of various processes of anomia and adverse health effects. The consequences on health were physical ailments (symptoms and diseases in various systems and parts of the body) and mental disorders (anxiety, depression, suicidal ideation), all affecting lifestyles, behaviour and personal and social relationships, both in affected individuals and their families. The increase in the use of medical drugs and health services serves as a final corollary to the imbalances on the affected people's health. Individuals and the Spanish society demand public health policy measures to mitigate the effects on health and the recovery of their confidence in the banking and political system., (Copyright © 2019 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.)

Over the past half century, the Democratic Republic of the Congo (DRC), a low-income and post-conflict country, has experienced several Ebola Virus Disease outbreaks, with different fatality rates. The DRC is currently experiencing the Coronavirus Disease 2019 (COVID-19) pandemic. Using the PEN-3 cultural model, we assessed the socio-cultural factors affecting public trust in the government and its health agencies. Results of this analysis revealed the perceptions, enablers, and nurturers that impacted public trust in the government and its health agencies among the Congolese population. Future interventions designed to address the COVID-19 in the DRC should account for these socio-cultural factors., Competing Interests: The authors declare no competing interests., (© Guy-Lucien Whembolua et al.)

Objectives: The consequences of poor financial capability at older ages are serious and include making mistakes with credit, spending retirement assets too quickly, and being defrauded by financial predators. Because older persons are at or past the peak of their wealth accumulation, they are often the targets of fraud., Methods: Our project analyzes a module we developed and fielded on people aged 50 an older years in the 2016 Health and Retirement Study (HRS). Using this data set, we evaluated the incidence and prospective risk factors (measured in 2010) for investment fraud and prize/lottery fraud using logistic regression (N = 1,220)., Results: Relatively few HRS respondents mentioned any single form of fraud over the prior 5 years, but 5.0% reported at least one form of investment fraud and 4.4% recounted prize/lottery fraud. Greater wealth (nonhousing) was associated with investment fraud, whereas lower housing wealth and symptoms of depression were associated with prize/lottery fraud. Hispanics were significantly less likely to report either type of fraud. Other suspected risk factors-low social integration and financial literacy-were not significant., Discussion: Fraud is a complex phenomenon and no single factor uniquely predicts victimization across different types, even within the category of investment fraud. Prevention programs should educate consumers about various types of fraud and increase awareness among financial services professionals., (© The Author(s) 2018. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Importance: Fraud and abuse contribute to unnecessary spending in the Medicare program, and federal agencies have prioritized fund recovery and the exclusion of health care practitioners who violate policy. However, the human costs of fraud and abuse in terms of patient health are unknown., Objective: To assess whether Medicare beneficiaries' receipt of health care services from fraud and abuse perpetrators (FAPs) is associated with worse health outcomes., Design, Setting, and Participants: Retrospective cross-sectional study comparing mortality and emergency hospitalization rates of 8204 patients treated by an FAP with those among patients treated by a randomly selected non-FAP in 2013. Known FAPs were identified from the December 2018 List of Excluded Individuals/Entities (LEIE) published by the Office of the Inspector General in the Department of Health and Human Services. Patients were identified in a 5% sample of Medicare claims data and were enrolled in the Fee-for-Service program., Exposures: Treatment by a health care professional subsequently excluded from Medicare for fraud, patient harm, or a revoked license., Main Outcomes and Measures: All-cause mortality between 2013 and 2015 and 2013 emergency hospitalizations., Results: A total of 8204 Medicare beneficiaries in the study sample (mean [SD] age, 69.2 [14.2] years; 58.2% female, and 23.0% nonwhite) saw an FAP for the first time in 2013. Of these, 5054 (61.6%) were treated by fraud perpetrators, 1157 (14.1%) by patient harm perpetrators, and 1193 (24.3%) by revoked license perpetrators. Compared with 296 298 beneficiaries treated by non-FAPs (mean [SD] age, 71.1 [12.4] years; 58.6% female, and 16.5% nonwhite), beneficiaries exposed to an FAP were more likely to be eligible for both Medicare and Medicaid (34.7% [2845 of 8204] vs 21.9% [64 989 of 296 298]; P < .001) and more likely to be disabled at an age younger than 65 years (27.2% [2231 of 8204] vs 18.6% [55 168 of 296 298]; P < .001). All FAP exposures were associated with higher mortality and emergency hospitalization rates after risk adjustment and propensity score weighting: for mortality, exposures to fraud FAPs were associated with an increase of 4.58 percentage points (95% CI, 2.02-7.13; P < .001); to patient harm FAPs, with an increase of 3.34 percentage points (95% CI, 1.40-5.27; P = .001); and to revoked license FAPs, with an increase of 3.33 percentage points (95% CI, 1.58-5.09; P < .001). Increases were similar for emergency hospitalization rates: for fraud FAP exposures, 3.24 percentage points (95% CI, 0.01-6.46; P = .049); for patient harm FAP exposures, 9.34 percentage points (95% CI, 6.02-12.65; P < .001); and for revoked license FAP exposures, 9.28 percentage points (95% CI, 6.43-12.13; P < .001)., Conclusions and Relevance: This study's findings suggest that receiving medical care from FAPs may be associated with significantly higher rates of all-cause mortality and emergency hospitalization after risk adjustment. Identifying and permanently removing FAPs from the Medicare program may be associated with improved beneficiary health in addition to financial savings.

Background : As called for by the Sustainable Development Goals, governments, development partners and civil society are working on anti-corruption, transparency and accountability approaches to control corruption and advance Universal Health Coverage. Objectives : The objective of this review is to summarize concepts, frameworks, and approaches used to identify corruption risks and consequences of corruption on health systems and outcomes. We also inventory interventions to fight corruption and increase transparency and accountability. Methods : We performed a critical review based on a systematic search of literature in PubMed and Web of Science and reviewed background papers and presentations from two international technical meetings on the topic of anti-corruption and health. We identified concepts, frameworks and approaches and summarized updated evidence of types and causes corruption in the health sector. Results : Corruption, or the abuse of power for private gain, in health systems includes bribes and kickbacks, embezzlement, fraud, political influence/nepotism and informal payments, among other behaviors. Drivers of corruption include individual and systems level factors such as financial pressures, poorly managed conflicts of interest, and weak regulatory and enforcement systems. We identify six typologies and frameworks that model relationships influencing the scope and seriousness of corruption, and show how anti-corruption strategies such as transparency, accountability, and civic participation can affect corruption risk. Little research exists on the effectiveness of anti-corruption measures; however, interventions such as community monitoring and insurance fraud control programs show promise. Conclusions : Corruption undermines the capacity of health systems to contribute to better health, economic growth and development. Interventions and resources on prevention and control of corruption are essential components of health system strengthening for Universal Health Coverage.

Background : The goal of the public procurement of pharmaceuticals is to purchase sufficient quantities of high-quality pharmaceuticals at cost-effective prices for a given population. This goal can be undercut if corruption infiltrates the procurement process. Good procurement practices can help mitigate the risks of corruption and support equitable access to affordable and high-quality medicines. Objectives : This paper aims to 1) examine manifestations of corruption in the pharmaceutical procurement process and key factors behind them, and 2) identify how to design and implement effective anti-corruption, transparency and accountability mechanisms within this process. Methods : This paper was informed by a narrative literature review from 1996 to the present. The search focused on publications that addressed the issue of pharmaceutical procurement and governance and corruption issues. Our search included peer-reviewed literature, books, grey literature such as working papers, reports published by international organizations and donor agencies, and some media articles. Some documents used in this paper were already known to the authors. Results : Procurement is highly vulnerable to corruption particularly in the health sector. What is more, corruption in the procurement process does not appear to be limited to any one level of government or type of health system. The better integration of accountability, transparency and anti-corruption mechanisms in the procurement process is needed to reduce the risk of corruption. Conclusions : Lessons learned suggest that anti-corruption, transparency and accountability mechanisms in the pharmaceutical procurement process, such as open contracting and integrity pacts are helpful towards reducing the risk of corruption.

The Supplemental Nutrition Assistance Program (SNAP) provides funding to low-income households to purchase food at participating stores. The goals of the program include reducing hunger, improving nutrition, and strengthening the US food system. These are interrelated, as food access and choice depend on availability.SNAP generates data that could be useful for program evaluation and evidence-based policymaking to reach public health goals. However, the US Department of Agriculture (USDA) does not collect or disclose all SNAP-related data. In particular, the USDA does not systematically collect food expenditure data, and although it does collect transaction (sales) and redemption data (the amount retailers are reimbursed through SNAP), it does not release these data at the store level.In 2018, Congress quietly changed the law to prohibit the USDA from disclosing store-level transaction and redemption data, and in 2019, the US Supreme Court blocked disclosure of these data. These federal proceedings can inform the outcome of additional efforts to disclose SNAP-related data, as well as future research and policy evaluation to support improved public health outcomes for SNAP beneficiaries.

Background: Nursing journals from predatory publication outlets may look authentic and seem to be a credible source of information. However, further inspection may reveal otherwise., Purpose: The purpose of this study was to analyze publication and dissemination patterns of articles published in known predatory nursing journals., Method: Using Scopus, reference lists were searched for citations from seven identified predatory nursing journals. Bibliographic information and subsequent citation information were then collected and analyzed., Findings: A total of 814 citations of articles published in predatory nursing journals were identified. Further analysis indicated that these articles were cited in 141 nonpredatory nursing journals of various types., Discussion: Predatory nursing journals continue to persist, yet fewer may now be in existence. Education and information may help authors and reviewers identify predatory journals, thereby discouraging submissions to these publications and hesitancy among authors to cite articles published in them., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Richard Griffith , Senior Lecturer in Health Law at Swansea University, outlines what constitutes fraud and the measures taken by the NHS to counter fraudulent activity.

Richard Griffith , Senior Lecturer in Health Law at Swansea University, outlines what constitutes fraud and the measures taken by the NHS to counter fraudulent activity.

Belgium is in a transition phase from paper-based prescriptions to electronic prescriptions (ePrescriptions) during which both the paper and electronic format are valid. Since patients still get a paper proof of the ePrescription, sometimes pharmacists use the ePrescription as paper-based prescription. When the government demands a complete dematerialization, i.e. no more paper-based prescriptions, this will no longer be possible. Therefore, we questioned the frequency and reasons for treating an ePrescription as paper-based. The logged interactions in the national database were used to identify possible reasons. The tarification service Koninklijk Limburgs Apothekers Verbond (KLAV) provided prescriptions of June 2018. KLAV supports tarification for community pharmacies all over Belgium, thereby providing a representative sample for the Belgian community pharmacies. A two-stage cluster random sampling technique was applied to retrieve a subset of 10,000 prescriptions. In this subset we identified 4961 ePrescriptions (49.61%) of which 226 (4.56%, in total 2.26%) were treated as paper-based. Reasons observed for this incorrect handling are (1) non-compliance of the community pharmacist; (2) errors in software or handling of the community pharmacist; (3) errors at the prescriber side or patient tries to fraud; (4) incorrectly revoking the ePrescription; and (5) errors in software of prescriber. The main reasons for treating ePrescriptions as paper-based are non-compliance of the community pharmacist (n = 124, 54.87%) by ignoring its digital nature, and errors in software or handling of the community pharmacist (n = 85, 37.61%). Future research is necessary to investigate user opinions and to measure the impact of introducing ePrescribing in the daily routine.

Performance-based financing (PBF) has been piloted in many low- and middle-income countries (LMICs) as a strategy to improve access to and quality of health services. As a key component of PBF, quantity verification is carried out to ensure that reported data matches the actual number of services provided. However, cost concerns have led to a call for risk-based verification. Existing evidence suggests misreporting is associated with factors such as complexity of indicators, high service volume, and accepted error margin. In contrast, evidence on the association of key facility characteristics with misreporting in PBF is scarce. We contributed to filling this gap in knowledge by combining administrative data from a large-scale pilot PBF program in Burkina Faso with data from a health facility assessment in the context of an impact evaluation of the intervention. Our results showed the coexistence of both overreporting and underreporting and that misreporting varied by service indicator and health district. We also found that the number of clinical staff at the facility, the population size in the facility catchment area, and the distance between the facility and the district administration were associated with the probability of misreporting. We recommend further research of these factors in the move towards risk-based verification. In addition, given that our analysis identified relevant associations, but could not explain them, we recommend further qualitative inquiry into verification processes., (© 2019 John Wiley & Sons, Ltd.)

West African countries are ranked especially low in global corruption perception indexes. The health sector is often singled out for particular concern given the role of corruption in hampering access to, and utilization of health services, representing a major barrier to progress to universal health coverage and to achieving the health-related Sustainable Development Goals. The first step in tackling corruption systematically is to understand its scale and nature. We present a systematic review of literature that explores corruption involving front-line healthcare providers, their managers and other stakeholders in health sectors in the five Anglophone West African (AWA) countries: Gambia, Ghana, Liberia, Nigeria and Sierra Leone, identifying motivators and drivers of corrupt practices and interventions that have been adopted or proposed. Boolean operators were adopted to optimize search outputs and identify relevant studies. Both grey and published literature were identified from Research Gate, Yahoo, Google Scholar, Google and PubMed, and reviewed and synthesized around key domains, with 61 publications meeting our inclusion criteria. The top five most prevalent/frequently reported corrupt practices were (1) absenteeism; (2) diversion of patients to private facilities; (3) inappropriate procurement; (4) informal payments; and (5) theft of drugs and supplies. Incentives for corrupt practices and other manifestations of corruption in the AWA health sector were also highlighted, while poor working conditions and low wages fuel malpractice. Primary research on anti-corruption strategies in health sectors in AWA remains scarce, with recommendations to curb corrupt practices often drawn from personal views and experience rather that of rigorous studies. We argue that a nuanced understanding of all types of corruption and their impacts is an important precondition to designing viable contextually appropriate anti-corruption strategies. It is a particular challenge to identify and tackle corruption in settings where formal rules are fluid or insufficiently enforced., (© The Author(s) 2019. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.)

The prevalence of health scams in Canada is increasing, facilitated by the rise of the Internet as a mass communication medium. However, little is known about the nature of this phenomena. Building on previous work exploring the nature of Internet health scams (IHS), this project sought to better understand the reasons why people engaged with IHS, and if contemporary psychosocial theory can help explain IHS engagement. A mixed-methods study, involving a web-based survey incorporating qualitative questions and the Susceptibility to Persuasion-II Brief psychometric scale (STP-II Brief), were administered (N = 194) in British Columbia, Canada, in 2017. Results (n = 156) demonstrated that 40% of participants had ever engaged with IHS, but only 1% reported to have actually lost money to a deceptive product/service. Associations between scam engagement, participant demographics and STP-II Brief scores were explored, with Sex and Employment Status both found to have a significant effect on odds of IHS engagement. STP-II Brief scores were positively correlated with a likelihood of engagement with IHS, even when adjusting for demographic characteristics. The types of IHS most frequently engaged with were those related to body image products, and social influence appeared to be a dominant psychosocial factor promoting engagement. Participants reported that claims of products being 'natural', the result of scientific breakthroughs, use of pseudoscientific language, use of testimonials, and celebrity or professional endorsement could lead them to engage with a product. These findings can help inform health professionals' understanding of public health-seeking behaviours with respect to deceptive marketing., (© 2019 John Wiley & Sons Ltd.)

The medical profession is increasingly dependent upon electronic health records. Along with documented benefits, a number of potential ethical abuses have been outlined. Herein, we describe an ethical abuse that has received almost no attention, namely falsified medical records. We present three cases in which the medical record cited facts from history that were not elicited and findings from physical examination that was not performed. This is fraud. Prepopulated templates were almost certainly responsible. If a template is used, it must begin free of results-a skeleton onto which flesh is placed. If coders and third-party payers insist on having information than health care providers think relevant, then we, as a profession should "push back," but a template that has been prepopulated puts fraudulent data into electronic health record, seriously damaging physician integrity., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Objectives: In 2012, a stratified random survey, using mystery shoppers, was conducted to investigate the availability and quality of antibiotics sold to patients in the private sector in five southern provinces of the Lao People's Democratic Republic (Laos)., Methods: A total of 147 outlets were sampled in 10 districts. The active pharmaceutical ingredient (API) content measurements for 909 samples, including nine APIs (amoxicillin, ampicillin, ceftriaxone, ciprofloxacin, doxycycline, ofloxacin, sulfamethoxazole, tetracycline and trimethoprim), were determined using HPLC., Results: All the analysed samples contained the stated API and we found no evidence for falsification. All except one sample had all the units tested with %API values between 75% and 125% of the content stated on the label. However, we identified the presence of substandard antibiotics: 19.6% (201/1025) of samples had their units outside the 90%-110% content of the label claim and 60.2% (617/1025) of the samples had units outside of the International Pharmacopoeia uniformity of content limit range. Amoxicillin had a high number of samples [67.1% (151)] with units above the limit range, followed by ciprofloxacin [58.8% (10)] and ofloxacin [57.4% (39)]. Ceftriaxone, trimethoprim and sulfamethoxazole had the highest number of samples with low API content: 57.1% (4), 51.6% (64) and 34.7% (43), respectively. Significant differences in %API were found between stated countries of manufacture and stated manufacturers., Conclusions: With the global threat of antimicrobial resistance to patient outcomes, greater understanding of the role of poor-quality antibiotics is needed. Substandard antibiotics will have reduced therapeutic efficacy, impacting public health and control of bacterial infections., (© The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy.)

We investigate the relationship between corruption and infant mortality in Turkey. Our study contributes to the literature in a couple of ways in terms of data and estimation method. First, we construct a novel index of corruption in Turkey based on the stories covered in a major newspaper between the years 1960 and 2010. Second, because we now annual data on corruption covering a period long enough, we investigate the integration properties of the data and estimate the cointegrating relationship between corruption and infant mortality using Fully Modified OLS (FMOLS) and Canonical Cointegrating Regression (CCR). We find that corruption increases infant mortality in the long-run. Our results are robust to different specifications and estimation methods., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Objective: Impostor phenomenon, also known as impostor syndrome, is the inability to internalize accomplishments while experiencing the fear of being exposed as a fraud. Previous work has examined impostor phenomenon among academic college and research librarians, but health sciences librarians, who are often asked to be experts in medical subject areas with minimal training or education in these areas, have not yet been studied. The aim of this study was to measure impostor phenomenon among health sciences librarians., Methods: A survey of 2,125 eligible Medical Library Association (MLA) members was taken from October to December 2017. The online survey featuring the Harvey Impostor Phenomenon scale, a validated measure of impostor phenomenon, was administered, and one-way analysis of variance (ANOVA) was used to examine relationships between impostor phenomenon scores and demographic variables., Results: A total of 703 participants completed the survey (33% response rate), and 14.5% of participants scored ≥42 on the Harvey scale, indicating possible impostor feelings. Gender, race, and library setting showed no associations, but having an educational background in the health sciences was associated with lower impostor scores. Age and years of experience were inversely correlated with impostor phenomenon, with younger and newer librarians demonstrating higher scores., Conclusions: One out of seven health sciences librarians in this study experienced impostor phenomenon, similar to previous findings for academic librarians. Librarians, managers, and MLA can work to recognize and address this issue by raising awareness, using early prevention methods, and supporting librarians who are younger and/or new to the profession.

The unauthorised addition of colours to herbs and spices is a recurrent issue affecting food business operators. Such a practice aims at improving food visual attractiveness, masking poor product quality, and/or compensating for natural colour variation with the ultimate goal to increase profits. To detect this fraud, a new LC-MS/MS method was developed for screening 58 dyes in both herbs and spices. This extended list of targets was established based on requirements from international spices organisations, past issues identified by web scouting and by notifications from the European Rapid Alert System for Food and Feed (RASFF). The method is intended to quickly detect fraudulent addition of dyes with Screening Target Concentrations ranging from 0.1 to 2.5 mg/kg. Validation was performed according to the European Community Reference Laboratories Residues Guidelines 20/1/2010. False positive and false negative rates were below 5% for all analytes and applicability of the method was further demonstrated by analysing 117 samples collected worldwide. None of the surveyed dyes was found in herbs (n = 28, 16 varieties) whereas 6% of spice samples (n = 89, 21 varieties) was found contaminated with one or two dyes at levels ranging from 0.12 to 255 mg/kg. Four out of the nine detected compounds have never been reported in the RASFF, thus demonstrating the usefulness of this analytical approach.

Background: As the list of predatory journals is burgeoning, the researchers should have knowledge of calculating the predatory rate (PR) for the journals, in which they aim to publish their work and self-guard them from publishing in bogus journals., Aim and Objectives: Our aim is to find out the predatory rate for various Pharmacology journals., Materials and Methods: Here, we have examined the recently updated list (in 2017) of standalone predatory journals created and maintained by Beall, pertinent to all auspices of pharmacology including pharmacy, pharmaceutical, and pharmacognosy. The PR of various journals was calculated., Results: Of 131 journals, pertinent to the pharmacology field, 45.03% of them had the PR between 0.72 and 0.84. 98.5% of journals were classified as predatory, whereas only 2 (1.53%) journals were classified in the category of predatory practice., Conclusion: It should be an eye-opener to the researchers, and they should deliberately select the journals to get real recognition of their work., Competing Interests: There are no conflicts of interest.

Plans to optimize health care in the United States highlight the high cost but rarely explore opportunities for redirecting resources within the existing system to increase access to care while lowering spending. This analysis indicates that, of the total national health care expenditures of $3.21 trillion in 2015, only $1.4 trillion to $2.86 trillion was used to provide care to patients. This range was reached by the subtraction of excess spending in 7 categories. Thus, many opportunities exist to repurpose wasted expenditures to increase access to health care without the need for additional funding., (© 2019 American Cancer Society.)