week 12 health measurement Flashcards

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1
Q

WHO definition of health

A

a state of complete physical, mental, and social well-
being, and not merely the absence of disease or
infirmity

  • exposure to something resulting in a deviation of health can then be considered a disease
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2
Q

how do we define health

A

commonly defined as a state free from illness or disease

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3
Q

what is health-related quality of life

A
  • many use the WHO definition
  • an agreement that premature mortality is undesirable, so an aspect of health should be avoidance of death
  • encompasses physical, mental, and social well-being, not just the absence of illness or disease
  • involved more than just avoiding diseases
  • maximizing HRQL becomes critical for enjoyment of long life
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4
Q

psychometric approach

A

attempts to provide a separate measure for each dimension of HRQL

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5
Q

decision theory

A

weighs the different dimensions to provide a single expression of health status
- argues each dimension of health is not equally of importance

*combination of both decision and psychometric approaches are used

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6
Q

health measurement

A

All principles of health measurement apply the same, regardless of the topic!

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7
Q

health surveys

A

estimation of health (prevalence, incidence, risks) are routinely done using health surveys

  • fatal diseases are collected on health via hospital records
  • health surveys can be specific (ex. depression) or can be broad (community health )
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8
Q

what types of items are usually on health surveys

A
  1. Dichotomous (Yes/No)
  2. Likert-like (“In general, how do you rate your health?” –
    “Excellent / Very Good / Good / Fair / Poor”
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9
Q

health assessment

A

dependent upon reliable and valid measures

in health, what is equally important, is the reliability and
validity in the classification of individuals

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10
Q

what validity is most important for health measures

A

criterion validity

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11
Q

medicine using strict categorization

A
  • traditionally thought in terms of diagnoses and treatment
  • if a patient has a disorder they are prescribed a treatment or not
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12
Q

example: depression

A

each symptom in the DSM-5 has its own criterion (threshold) for if they symptom is present

Under the categorical approach, “normal” people may have measurable levels of depression but it is ignored

  • dimensional approach: a person can show severity in unique patterns over time
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13
Q

what are the two approaches

A
  1. categorical model
  2. dimensional model
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14
Q

measurement error

A
  • mis measurement is present to some degree in every single health assessment
  • no measure can be perfect
  • diff tools to measure reliability and validity for classification
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15
Q

concordance

A

concordance measures the percentage of agreement between two sources

categorical variables (diseased/non diseased)

example: Use CES-D at a specific cut-off score to
classify as clinically depressed, compare findings to a diagnosis
- is the screener as reliable as the diagnosis

variance in the responses = reliability
- does not necessarily need to be against a “true” diagnosis
- seeing how often the pairs match values

Crude measure of reliability
- does not adjust for chance

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16
Q

Kappa

A

most widely used measure of reliability in classification
- designed to adjust for chance
- the amount by which the observed concordance exceeds what is expected by chance
- dependent on prevalence

Po is the observed concordance
Pe is the concordance by chance

  • normally they fall between 0-1, become negative when observed is less than expected
17
Q

difference bw concordance and Kappa

A

concordance measures percentage of agreement bw two sources - does not account for agreements that happen by chance

Kappa - more advanced that adjusts for chance measurements

18
Q

pearson & spearman correlation coefficient

A

Correlation coefficients measure the degree pairs of observations fall on a straight line (ranging from -1 to 1)

Pearson correlation is for continuous variables while the
Spearman rank correlation is for ordinal variables

19
Q

what is Intraclass Correlation Coefficient (ICC)

A

accesses the reliability of continuous measurements by analyzing the variance in scores

between person variance: how much people differ overall

within person variance: how much scores vary for the same person (ex. how diff they respond to the 2 surveys)

20
Q

What does it mean if test has ICC=1?

A

test = PERFECTLY RELIABLE

  • all variability in scores is due to differences bw individuals, no inconsistencies in how individuals are measured
21
Q

What does it mean if a test has ICC=0?

A

NO RELIABILITY

  • test scores are random and do not reflect consistent differences between individuals
22
Q

validity in health

A

reliant on criterion validity

primary tools for validity: sensitivity and specificity

In validity, we break apart this agreement into two components: positive agreement and negative agreement

23
Q

what is sensitivity

A

is the conditional probability that a true case is detected

The ability of a test to correctly identify true positives (e.g., detecting all people who have a disease).

High sensitivity = fewer false negatives.

24
Q

what is specificity

A

the ability of a test to correctly identify true negatives (e.g. people who do not have the disease

High specificity = fewer false positives

25
Q

should a test have both sensitivity and specificity?

A

High sensitivity and high specificity is desirable, but unrealistic

  • The two cannot be considered in isolation when considering
    validity
  • sensitivity and specificity of two measures can be compared
    in order to help decisions on measure selection