Identifying Fraudulent Responses in a Study Exploring Delivery Options for Pregnancies Impacted by Gestational

Emma Ruby1,2, Serine Ramlawi2, Alexa Clare Bowie2

  • 1Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.

PubMed

Current literature is unclear on the safety and optimal timing of delivery for pregnant individuals with gestational diabetes mellitus, which inspired our study team to conduct a web-based survey study exploring patient and provider opinions on delivery options. However, an incident of fraudulent activity with survey responses prompted a shift in the focus of the research project. Unfortunately, despite the significant rise of web-based surveys used in medical research, there remains very limited evidence on the implications of and optimal methods to handle fraudulent web-based survey responses. Therefore, the objective of this viewpoint paper was to highlight our approach to identifying fraudulent responses in a web-based survey study, in the context of clinical perinatal research exploring patient and provider opinions on delivery options for pregnancies with gestational diabetes mellitus. Initially, we conducted cross-sectional web-based surveys across Canada with pregnant patients and perinatal health care providers. Surveys were available through Research Electronic Data Capture, and recruitment took place between March and October 2023. A change to recruitment introduced a US $5 gift card incentive to increase survey engagement. In mid-October 2023, an incident of fraudulent activity was reported, after which the surveys were deactivated. Systematic guidelines were developed by the study team in consultation with information technology services and the research ethics board to filter fraudulent from true responses. Between October 14 and 16, 2023, an influx of almost 2500 responses (393 patients and 2047 providers) was recorded in our web-based survey. Systematic filtering flagged numerous fraudulent responses. We identified fraudulent responses based on criteria including, but not limited to, identical timestamps and responses, responses with slight variations in wording and similar timestamps, and fraudulent email addresses. Therefore, the incident described in this viewpoint paper highlights the importance of preserving research integrity by using methodologically sound practices to extract true data for research findings. These fraudulent events continue to threaten the credibility of research findings and future evidence-based practices.

Related Concept Videos

Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
2.2K
Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
858
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Diabetes Mellitus: Overview and Type I Subtype01:22

Diabetes Mellitus: Overview and Type I Subtype

Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
2.4K