Evidence in Public Health Flashcards

1
Q

What is positivism

A

Predict results, test a theory, or find the strength of relationship between variables or a cause-and-effect relationship.

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2
Q

Explain garbage in, garbage out

A

quality of output is determined by the quality of the input

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3
Q

What are some positivism study designs

A
  • Cross-sectional
  • Case control
  • Cohort
  • Experimental
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4
Q

What are some positivism data collection methods

A
  • Questionnaires
  • Observations
  • Experiments
  • Test
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5
Q

What analysis do you use for positivism

A

Quantitative

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6
Q

What is interpretivism

A

Reality is believed to be socially constructed and knowledge is subjective.

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7
Q

What study designs do you use for interpretivism

A
  • Ethnography
  • Phenomenology
  • Case study
  • Grounded theory
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8
Q

What are some interpretivism data collection methods

A
  • Interviews
  • Focus group discussion
  • Drawings
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9
Q

What analysis is used for interpretivism

A

Qual

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10
Q

What is critical research

A

Reality is out there to be discovered but diverge that the social reality is constantly changing.

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11
Q

What is the study design for critical research

A

Action research

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12
Q

What is the critical research data collection method

A
  • Plan
  • Do
  • Study
  • Act
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13
Q

What is the analysis for critical research

A

Both quan and qual

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14
Q

What is Indigenous Research

A

Knowledge is shared with all of creation (relational knowledge).

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15
Q

Indigenous Research study design

A

Participatory research

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16
Q

Indigenous Research data collection

A
  • Talk stories
  • Wisdom circles
  • Indigenous knowledge
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17
Q

Indigenous Research analysis

A

Both quan and qual

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18
Q

Epidemiology person attributes

A

Includes age, sex, or factors that determine health, such as socioeconomic status, race, and other factors.

19
Q

Epidemiology place factors

A

Includes comparisons of urban vs. rural, high income vs. low income census tracts, north vs. south, and different countries.

20
Q

Epidemiology time factors

A

Seasonal or diurnal variations in health status, differences in the duration of health states, or trends over an extended period of time.

21
Q

What is AI

A

System’s ability to interpret external data correctly, to learn from such data, and to use those learning to achieve specific goals and tasks through flexible adaptation

22
Q

What is machine learning

A

Field of study that gives computers the ability to learn without being explicitly programmed

23
Q

How is machine learning applied in clinical care

A

Radiology, dermatology, pathology, clinical pathways, triage

24
Q

What is population health

A

A branch of public health focused on equity concerns and specific populations, such as women and children.

25
What is health services research
A field that overlaps with public health, focusing on access, utilization, cost, and the economics of service deliver
26
What is big healthcare data
All public health data is considered "big data" due to its vastness and complexity.
27
What is the Discharge Abstract Database (DAD)?
A database capturing administrative, clinical, and demographic information on hospital discharges, including deaths, sign-outs, and transfers.
28
What are common issues in public health data?
Veracity – Accuracy of data Provenance – Origins of data Appropriate Use – Ethical and practical considerations
29
What opportunity does visual analytics present in public health?
It allows for better exploration and sense-making of complex data through interactive visual interfaces.
30
How is visual analytics defined?
A method for analytic reasoning, exploration, and knowledge discovery using interactive visual interfaces (Chishtie et al. 2020).
31
What are the two key components of visual analytics?
Analytic engine – Uses advanced techniques like machine learning Visual engine – Allows data visualization and manipulation
32
What are the three types of analytic techniques?
Descriptive – Summarizes past data Predictive – Uses data to predict future outcomes Prescriptive – Provides recommendations for decision-making
33
What are the two key ethical concerns in public health data?
Epistemic concerns – Misguided, inconclusive, or inscrutable evidence Normative concerns – Unfair outcomes impacting groups differently
34
What makes algorithmic harm difficult to address?
Hard to detect the harm and its cause Difficult to assign responsibility
35
What is important in reporting predictive models and visual analytics?
Transparency and replicability
36
What is phenomenology?
A qualitative research design focusing on shared experiences of participants regarding a social phenomenon.
37
What is grounded theory?
A research method that builds theory from observed data to understand social phenomena.
38
What is ethnography?
The study of people within their natural environment or culture.
39
What is a case study?
An in-depth investigation of a social phenomenon using multiple sources of data.
40
What is patient journey mapping?
A qualitative or mixed-methods approach that maps the steps a patient takes when they fall ill.
41
What are unintended consequences of health technologies?
They can negatively impact families' well-being and increase healthcare system strain.
42
What were key findings from the phenomenology study on health technology?
Families: High out-of-pocket costs (e.g., transport, accommodation, lost wages). Health system stakeholders: High costs of devices/training and uncertainty around fast-evolving technology.
43
What are key criteria for a population-based screening program?
Disease - Burden, Asymptomatic stage, Natural history, early treatment Test - high sensitivity and specificity, evidence of effectiveness Societal acceptance - appropriate, relatively easier, minimum frequency Healthcare system - adequate capacity, cost effective, sustainable, program reach
44
What are sources used for tracking diseases?
Census data, administrative data, Canadian health surveys