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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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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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Culture plays a crucial role in shaping self-identity and influencing thought and behavior, a foundational interest within social psychology. The multicultural perspective recognizes that individuals do not exist in a vacuum; instead, their experiences, perceptions, and actions are deeply influenced by the intersecting dimensions of their cultural, ethnic, and social group affiliations.Cultural Influence on Self-Identity and Social PerceptionCultural frameworks inform how individuals define...
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Individualist and collectivist cultures emphasize different core values, shaping personality in distinct ways. In individualist cultures, such as those in the United States, England, and Australia, people prioritize independence, competition, and personal achievement. These societies tend to promote self-focused traits, with individuals often reporting higher levels of self-esteem. In contrast, collectivist cultures, commonly found in regions like Asia, Africa, and South America, emphasize...
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Cognitive bias results from limitations in thinking and information processing, leading to systematic errors in judgment. Conversely, motivational bias stems from personal desires or emotions, causing distortions in perception to align with self-interest. Motivational bias influences how individuals perceive and attribute causes to events, often shaped by personal needs, goals, and self-esteem preservation. This bias can distort judgment, leading to inaccurate assessments of success, failure,...
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Correspondence bias, also referred to as the fundamental attribution error, describes the tendency to attribute another person’s behavior to internal characteristics rather than situational influences. This cognitive bias leads individuals to overlook external factors that may be influencing actions, thereby fostering potentially inaccurate assessments of others’ intentions and dispositions.Empirical Evidence for Correspondence BiasResearch has consistently demonstrated the...
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Cultural Biases and Clinical Variation.

Óscar Gasulla1,2, Antonio Sarría-Santamera3, Ferran A Mazaira-Font4

  • 1Hospital Universitari de Bellvitge, Universitat de Barcelona, L'Hospitalet de Llobregat, 08907 Barcelona, Spain.

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Cultural biases may explain variations in women's and psychiatric disease diagnoses. This study suggests cultural taboos and gender biases contribute to unexplained clinical variation, impacting healthcare equity.

Keywords:
clinical biasesclinical variationhealthcare qualitysocial stigma

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Area of Science:

  • Health Services Research
  • Medical Sociology
  • Public Health

Background:

  • Investigates the influence of cultural biases on clinical variation in healthcare.
  • Examines potential disparities in disease diagnosis and treatment.

Purpose of the Study:

  • To determine if cultural factors contribute to unexplained clinical variation.
  • To analyze diagnostic incidence across different disease categories and geographical regions.

Main Methods:

  • Retrospective cohort study using a Spanish primary care database.
  • Cross-sectional analysis of diagnostic incidence and coefficient of variation (CV).
  • Multivariate linear regression adjusted for socio-demographics and healthcare system proxies.

Main Results:

  • No significant variability found between generic and specialized diseases.
  • Women's and psychiatric diseases exhibited consistently higher CVs (p < 0.05).
  • 20-30% of clinical variation in these groups remained unexplained.

Conclusions:

  • Findings suggest cultural taboos and gender biases may drive unjustified clinical variation.
  • Cultural bias is a plausible explanatory factor for observed healthcare disparities.
  • Further research is needed to establish causality and address inequities.