Publication pressure and scientific misconduct in medical scientists

Joeri K Tijdink1, Reinout Verbeke2, Yvo M Smulders3

  • 1VU University Medical Center, Amsterdam, The Netherlands Tergooi Hospitals, Hilversum, The Netherlands j.tijdink@vumc.nl.

Insights

Scientific misconduct, including data fabrication and falsification, is prevalent among biomedical scientists due to high publication pressure. Younger scientists in university hospitals reported higher rates of fraud.

Area of Science:

  • Biomedical Science
  • Research Ethics
  • Scientific Integrity

Background:

  • Scientific misconduct is a growing concern in research.
  • Emphasis on scientific productivity may heighten publication pressure.

Purpose of the Study:

  • To investigate the prevalence of scientific misconduct.
  • To assess the impact of publication pressure on misconduct.
  • To examine demographic factors associated with misconduct.

Main Methods:

  • Nationwide survey administered to Flemish biomedical scientists.
  • Assessed engagement in scientific misconduct (fabrication, falsification, plagiarism, data manipulation).
  • Measured perceived publication pressure and its association with misconduct.

Main Results:

  • 15% of surveyed scientists admitted to misconduct in the past 3 years.
  • Higher rates of fraud were observed in younger scientists at university hospitals.
  • 72% reported excessive publication pressure.
  • Publication pressure significantly correlated with scientific misconduct severity.

Conclusions:

  • Scientific misconduct is a significant issue in biomedical research.
  • High publication pressure is strongly linked to increased misconduct.
  • Targeted interventions may be needed for early-career researchers and those in clinical settings.

Related Concept Videos

The Scientific Method01:32

The Scientific Method

The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
275.8K
Bias01:22

Bias

Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
8.1K
Obedience01:08

Obedience

According to obedience research, we may harm others under the forceful pressures of an authority figure (Milgram, 1974). How about if the inappropriate orders were delivered with less force? The increasing interdependence between nurses and physicians compelled Hofling and his colleagues to explore nurses’ reactions to a potentially harmful medical request made by the perceived authority figure, the doctor (Hofling, Brotzman, Dalrymple, Graves, & Pierce, 1966). In this situation,...
35.8K
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
1.8K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.7K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
579