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Related Concept Videos

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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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:  
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Bias01:22

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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...
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Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
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Blinding01:11

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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
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Bias in Clinical Practice.

Satish V Khadilkar1, Suvarna S Khadilkar2

  • 11110, New Wing, First Floor, Bombay Hospital, 12, New Marine Lines, Mumbai, India.

Journal of Obstetrics and Gynaecology of India
|February 8, 2020
PubMed
Summary

Understanding cognitive biases is crucial for improving decision-making. This study explores common biases and strategies to mitigate their impact for more objective outcomes.

Keywords:
Availability biasBase rate neglectBias in practiceCommission biasConfirmation biasConjunction rateDiagnostic momentumFraming effect

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Area of Science:

  • Cognitive Psychology
  • Decision Science
  • Medical Error Reduction

Background:

  • Cognitive biases significantly contribute to errors in decision-making across various fields.
  • Sources of bias can stem from individuals, patients, or environmental factors.
  • Common biases include availability bias, base rate neglect, and confirmation bias.

Discussion:

  • This manuscript examines common cognitive biases using a scenario-based approach.
  • It contrasts rapid intuitive thinking with slow, reflective thinking and their roles in bias.
  • Potential sources of bias related to consultants, patients, and working conditions are explored.

Key Insights:

  • Awareness of cognitive biases is essential for unbiased decision-making.
  • Specific biases like availability bias, base rate neglect, and confirmation bias are detailed.
  • Understanding dual-process theory (intuitive vs. reflective thinking) aids in bias recognition.

Outlook:

  • Implementing strategies to enhance bias awareness is recommended.
  • Improving reasoning, promoting critical thinking, and utilizing checklists can foster unbiased decisions.
  • Further research into bias mitigation techniques in professional settings is warranted.