Search Results - "Fraud--Prevention"

Pre-Claim Review And Traditional Medicare Home Health Spending: Evidence From 4 States.

Authors: Marr, Jeffrey Meyers, David J. Ryan, Andrew M.

Source: Health Affairs. Jun2026, Vol. 45 Issue 6, p692-699. 8p.

Bots, scammers, and fraudulent responders: a year of disrupted data collection.

Authors: Ménard, A. Dana McMurphy, Suzanne Sterling, Morgan et al.

Source: Ethics & Behavior. Apr2026, Vol. 36 Issue 3, p235-249. 15p.

UPI Adoption and Fraud Prevention Awareness: A Comparative Study of Digital Payment Literacy Interventions Across Urban and Rural Rajasthan.

Authors: Sharma, Himanshu Mehta, Kamakshi Kumawat, Renuka et al.

Source: European Economics Letters. 2026, Vol. 16 Issue 1, p681-689. 9p.

Identifying and managing fraudulent participants: critical commentary from a qualitative study with older adults.

Authors: Rees, Jessica Liu, Wei Tinker, Anthea et al.

Source: Critical Public Health. Dec2025, Vol. 35 Issue 1, p1-4. 4p.

Reducing the Risk of Upcoding in DRG Grouping Through a Two-Stage DRG Grouper Based on Machine Learning.

Authors: Wang, Haitian Luo, Li Ma, Dongyuan et al.

Source: Inquiry (00469580). 11/5/2025, Vol. 62, p1-9. 9p.

Subject Terms: *Machine learning, *Comparative studies, *Algorithms, Fraud prevention, Diagnosis related groups, Intracranial hemorrhage, Health insurance reimbursement, Research funding, Prediction models, Respiratory infections, Kruskal-Wallis Test, Descriptive statistics, Mann Whitney U Test, Hospitals, Medical coding, Inflammation, Management of medical records, Medical care costs

Geographic Terms: China

The association between Internet use and multidimensional capital of older adults in urban and rural China.

Authors: Sun, Xiaoyao Wu, Yuanyuan

Source: Educational Gerontology. Nov2025, Vol. 51 Issue 11, p1188-1201. 14p.

Subjects: Fraud prevention, Social capital, Cross-sectional method, Center for Epidemiologic Studies Depression Scale, T-test (Statistics), Equality, Digital divide, Statistical sampling, Internet, Descriptive statistics, Rural conditions, Metropolitan areas, Quality of life, Social networks, Psychological tests, Data analysis software, Social participation, Old age

Geographic Terms: China

Predictors of Cyberscam Vulnerability for People With and Without Acquired Brain Injury: A One-Year Follow-Up Study.

Authors: Carminati, Jao-Yue Ponsford, Jennie L. Gould, Kate Rachel

Source: CyberPsychology, Behavior & Social Networking. Jul2026, Vol. 29 Issue 7, p473-480. 8p.

HOW TO SPOT A CON ARTIST.

Authors: WALTON, JOHNATHAN

Source: Saturday Evening Post. Nov/Dec2025, Vol. 297 Issue 6, p36-70. 5p.

Media Literacy: What Now?

Authors: LaPierre, Suzanne S.

Source: Computers in Libraries. Nov/Dec2025, Vol. 45 Issue 9, p19-21. 3p.

Impact of gain-loss framing on online scam susceptibility: the role of scam frames, warning frames, and risk perception.

Authors: Jiang, Yixuan Wen, Xin Qian, Xiuying

Source: Behaviour & Information Technology. Jun2025, Vol. 44 Issue 9, p1846-1859. 14p.

Fraud Examination in Government-Aided Institutions: Empirical Analysis of Red Flags, Detection and Prevention.

Authors: Alshi, Shilpa Lopez, Keanu Roy, Kaustav Dutta

Source: European Economics Letters. 2025, Vol. 15 Issue 3, p2956-2979. 24p.

Employee support for corruption prevention: The roles of organizational ethical context and employee moral attentiveness.

Authors: Rabl, Tanja Werner, Anna Heintz, Philipp et al.

Source: Applied Psychology: An International Review. Feb2026, Vol. 75 Issue 1, p1-23. 23p.

Health Care Scams.

Authors: Figg, Bethany¹ (AUTHOR) Bethany.figg@cmich.edu

Source: Journal of Consumer Health on the Internet. Apr-Jun2026, Vol. 30 Issue 2, p234-243. 10p.

Subjects: Fraud prevention, Health information services, Health literacy, Databases, United States. Dept. of Health & Human Services, Medical care, Government agencies, Medicare, United States. Food & Drug Administration, Internet, Information services, Medicaid, Quacks & quackery

Geographic Terms: United States

Safeguarding Online Research in Eating Disorders Against Fraud: Increasing Risks and Practical Recommendations.

Authors: Pennesi, Jamie‐Lee Pellizzer, Mia L. Wade, Tracey D.

Source: International Journal of Eating Disorders. Jul2026, Vol. 59 Issue 7, p1451-1468. 18p.

Subjects: Fraud prevention, Patient selection, Consensus (Social sciences), Research funding, Qualitative research, Human research subjects, Artificial intelligence, Internet, Eating disorders, Surveys, Acquisition of data, Medical research, Delphi method, Data analysis software

Fraudulent qualitative study participants: experiences of two nurse researchers.

Authors: Kittle, Jolene Brown, Amanda

Source: Nurse Researcher. Jun2026, Vol. 34 Issue 2, p35-42. 8p.

Mitigating Fraud in Online Surveys: A Methodological Approach.

Authors: Towne, Karen M. Polivka, Barbara

Source: Western Journal of Nursing Research. Jun2026, Vol. 48 Issue 6, p661-669. 9p.

Editorial Perspective: A call for action on imposter participants in child and adolescent mental health research.

Authors: Ching, Brian C.F. Ani, Cornelius Pitt, Angie et al.

Source: Child & Adolescent Mental Health. May2026, Vol. 31 Issue 2, p149-152. 4p.

Subjects: Fraud prevention, Psychiatry, Mental health, Human research subjects, Research evaluation, Deception, Data quality, Adolescence, Children

Identifying and Managing Fraudulent Participants in Online Qualitative Research.

Authors: Crossen, Emily M. Harper, Mary G. Maloney, Patsy

Source: Nursing Research. May/Jun2026, Vol. 75 Issue 3, p214-219. 6p.

Practical Guidance for Preparing for and Conducting Focus Groups and Interviews with Community Members for Cancer Research.

Authors: Bourdaniotis, Xanthia E. Ayre, Susannah K. Zajdlewicz, Leah et al.

Source: Health Promotion Practice. May2026, Vol. 27 Issue 3, p413-419. 7p.

Benchmarking PathCLIP for Pathology Image Analysis.

Authors: Zheng, Sunyi Cui, Xiaonan Sun, Yuxuan et al.

Source: Journal of Imaging Informatics in Medicine. Feb2025, Vol. 38 Issue 1, p422-438. 17p.

Subjects: Fraud prevention, Osteosarcoma, Predictive tests, Databases, Medical information storage & retrieval systems, Image retrieval, Research funding, Data analysis, Benchmarking (Management), Evaluation of organizational effectiveness, Decision making, Clinical pathology, Experimental design, Lung tumors, Research methodology, Statistics, Mathematical models, Deep learning, Digital image processing, Data quality, Theory, Algorithms