Midterm 1 Flashcards
Epidemiology
study of the distribution and determinants of health-related states or events in specified populations, and the application of this study to the control of health problems
what is considered primary literature?
peer-reviewed research articles that describe studies done by the authors
what is considered secondary sources?
those that share the findings of primary literature but did not conduct the research themselves (examples: blogs, science journalism, podcasts, presentations.
Week 2 Objective
Recognize the use of epidemiology in veterinary medicine
Veterinary epidemiologists respond to and prevent disease outbreaks in animal populations. They work at the intersection of human, animal, and environmental wellness to address some of the most complex health problems we face.
Week 2 Objective
Describe the most common study designs in veterinary medicine
Cross-sectional surveys are the most frequently designed observational studies in veterinary epidemiology, likely because they are rapid, inexpensive and of moderate difficulty.
research gate
Week 2 Objective
Recognize the strengths and weaknesses of different study designs with respect to how they inform clinical decision making
When clinicians evaluate the scientific literature
to answer a clinical question, they should consider the
clinical relevance, clinical importance, and validity of
the research. Common errors that may invalidate re-
search findings can be identified by becoming familiar
with the typical methods used to control for bias, en-
sure appropriate allocation and handling of experimen-
tal units, and deal with the structure of research data
or populations. Research articles can be reviewed in a
time-efficient and meaningful manner when a system-
atic approach is used.
Week 2 Objective
Identify potential sources of bias in research (selection, misclassification & confounding) and understand how these may influence the extrapolation of study findings to clinical work
define selection bias
Selection bias exists when animals differ among study groups in more ways than just the intervention
or putative risk factor assessed. In clinical practice, veterinarians routinely use information about a pa-
tient’s signalment, history, comorbid conditions, and other variables to develop diagnostic and treatment
plans. Although clinically reasonable, this approach to decision making introduces selection bias, which
prevents accurate comparisons among interventions or other factors of interest.
Week 2 Objective
Identify potential sources of bias in research (selection, misclassification & confounding) and understand how these may influence the extrapolation of study findings to clinical work
Week 2 Objective
Identify potential sources of bias in research (selection, misclassification & confounding) and understand how these may influence the extrapolation of study findings to clinical work
Confounding can occur when 2 factors are associated with each other but not evenly distributed among the subjects evaluated, making it difficult to identify which factor is truly associated with the outcome of
interest. Because of the aforementioned complexity of
biological systems, confounding is a common problem when clinical observations are used to make assump-tions about disease causation or treatment effective-ness.
Week 3 Objectives: Medical Error
List, and give examples of, common factors that lead to intrinsic errors
Doctor error/ Misdiagnosis (erroneous clinical reasoning or personal biases)
clinical reasoning errors: premature closure, availability heuristic, recency effect
doctor errors: time and pressure, exhaustion, distraction
owner/patient attributes: aggressive patient, demanding owners, financial constraints (how we feel about a client or their animal can also influence)
other circumstances: filling in a new clinic, unfamiliar record systrem, new geographic area
Week 3 Objectives
List, and give examples of, common factors that lead to systemic errors
Error of execution (failure of a planned action to be completed as intended)
complex systems: training not standard, data across multiple systems
communications: written and oral
large clinics: specialization, transfers/shifts (only seeing one part of animal, flawed switch)
Other circumstances: poorly organized spaces, lack of leadership, lack of error reporting system
Week 3 Objectives
Define, and differentiate, the following clinical reasoning error:
Premature closure
Concluding evidence gathering and making a diagnosis prior to thorough
reflection on all the data. The error is commonly associated with pattern recognition
Week 3 Objectives
Define, and differentiate, the following clinical reasoning error: false consensus
This is a form of premature closure. You offer limited analysis and/or
information because you believe that others have reached an identical conclusion
Week 3 Objectives
Define, and differentiate, the following clinical reasoning error: confirmatory bias
The tendency to seek or favor data that confirms one’s preferred diagnosis while ignoring or disregarding data that would disfavor the diagnosis
Week 3 Objectives
Define, and differentiate, the following clinical reasoning error: unintentional sequestration of data
Pertinent information is unintentionally omitted by
someone on the team, e.g., clinical sign, previous medical history, etc.