Behavioral Sciences Flashcards

1
Q

What is an advanced directive?

A

Set of instructions given by patient in anticipation for the need of a medical decision, varies by state law.

Forms include:
Oral - based on what they have repeatedly said (might be a wife or someone's word)
Written (living will is a common form)
Medical power of attorney
Do not resuscitate
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2
Q

What is a living will and how does it differ from a medical power of attorney?

A

Living will - document which assigns which procedures they would be willing to accept or reject for a critical illness. Quite inflexible - if you have one, this is consulted first.

Medical power of attorney - A specific person is assigned to make all of your medical decisions. Since they are a living person, it is more flexible than living will.

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3
Q

If a patient has no decision-making capacity and no written advanced directive / power of attorney, who makes end of life decisions?

A

Next of kin makes decisions, in the following order:

Spouse -> adult Children -> Parents -> Siblings

the “spouse ChiPS” in.

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4
Q

What is the definition of pica? What are the three types?

A

Craving non-food or non-staple food substances which are not culturally acceptable for greater than 1 month. Often leads to nutritional deficiencies, and is more common in pregnancy.

  1. Earth/soil-rich substances
  2. Raw starch (i.e. flour or cornstarch)
  3. Ice

UWorld #8893

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5
Q

What is capitation vs global payment?

A

Capitation - physicians receive a set amount per patient per time, regardless of how much the patient uses the healthcare system (a lump sum of capital)

Global payment - insurance company pays for all things associated with a particular procedure, typically elective surgery, in one lump sum. I.e. this amount of money should cover the surgery as well as pre-op/post-op expenses.

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6
Q

How does point of service (POS) differ from health maintenance organization (HMO)?

A

Both require PCP referrals to see a specialist, but point of service is allowed to see doctors outside of the preferred network, where HMO patients must stay in network

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7
Q

How does PPO differ from EPO?

A

EPO = exclusive provider organization, patients must stay within a network but do not need a PCP referral

PPO = patients do not need PCP referral and can see out of network

EPO is to PPO as HMO is to POS.

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8
Q

When is hospice care available to patients?

A

Whenever their prognosis is <6 months.

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9
Q

What is the difference between a cross-sectional study and an ecological study?

A

Cross-sectional - observes frequency of disease and frequency of exposures among INDIVIDUALS at a single timepoint

Ecological study - observes frequency of disease and exposures among POPULATIONS at a single time point -> an even more general iteration of a cross-sectional study.

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10
Q

What is the purpose of cross-sectional / ecological studies?

A

They cannot prove causality, but are used to formulate hypotheses regarding diseases and their associated risk factors. Can only show correlations, not causation.

In order to better prove causality, you need case-control or cohort studies.

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11
Q

What is the utility of a cohort study vs a case-control study?

A

Cohort - For studying rare exposures. Have a group of people with a certain exposure -> see if they develop disease

Case-control - For studying rare diseases. Have a group of people with the disease -> see what they are exposed to vs your control group.

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12
Q

What is the measure of likelihood in a cohort study vs a case control study?

Give this in an explanation of COPD vs smokers.

A

Cohort study - What is the relative risk (RR) of developing COPD given you are a smoker

Case-control study - Odds ratio - What is the ratio of: the odds that you got COPD if you were a smoker divided by the odds that you did not get COPD if you were not a smoker all divided by the odds you got COPD if you were a nonsmoker divided by the odds you did not get COPD if you were a nonsmoker.

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13
Q

What is the formula for odds ratio?

A

Assuming the normal four-quadrant square, with disease on top and test on the side

OR = (a/b) / (c/d)

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14
Q

What is the formula for relative risk?

A

Dealing with probabilities so.

Chance of disease given you had exposure / Chance of disease given you did not have exposure.

a/(a+b) / c/(c+d)

Remember this a cohort study

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15
Q

What is a twin concordance study and how do you tell if something is heritable or not?

A

Twin concordance - With the same parents, chances of developing the same condition with monozygotic vs dizygotic twins. Greater difference in concordance between monozygotic and dizygotic twins = highly heritable. Less of a difference in concordance between MZ and DZ = more environmental.

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16
Q

What is an adoption study?

A

Measures concordance of developing a disease among monozygotic twins raised by biological vs adoptive parents, or them being split.

There are multiple study designs

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17
Q

What is meant by a triple blind study?

A

Double blind - The patient and doctors analyzing the data are not aware of who is being treated

Triple blind - The researcher analyzing the data is also not aware of who was treated

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18
Q

What are the four phases of clinical trials?

A

Does the drug SWIM:

  1. Safe - Assess toxicity in healthy volunteers
  2. Work - Assess treatment efficacy in a small number of patients with disease of interest
  3. Improvement - Large RCT which assesses new treatment vs best treatment available (or placebo)
  4. Market - Post-marketing surveillance determines longterm adverse effects. Can result in treatment withdrawal.
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19
Q

What measure is (1 - false positive rate)? How do you calculate?

A

Specificity!
True negative rate = TN / (TN + FP)
(No disease and test is negative) / (No disease and test is negative + No disease and test is positive)

= d / b+d

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20
Q

What measure is (1 - false negative rate)? How do you calculate?

A

Sensitivity!
True positive rate = TP / (TP + FN)
(Have disease and test is positive) / (Have disease and test is positive + Have disease and test is negative)

= a / (a+c)

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21
Q

What is the positive predictive value and how does it change with population prevalence?

A

Gives you the usefulness of the test if the test is positive. The test is more likely to have a good PPV if the disease is more prevalent in the population -> more true positives relative to false positives overall

Population prevalence = pretest probability, btw

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22
Q

How do you calculate positive predictive value? What is the range of possible values?

A

TP / (TP + FP)

Range of values: 0% to 100%. Obviously, it will vary with prevalence because the more true positives you have, the more likely a positive is to be meaningful (numerator is greater relative to denominator)
-> #1233 illustrates this nicely

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23
Q

What is the negative predictive value and how does it change with population prevalence?

A

Gives you the usefulness of a negative test result (higher value = more likely that your negative test result is significant). The test is more likely to be relevant if the disease is less prevalent in the population -> more true negatives relative to false negatives overall.

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24
Q

How do you calculate negative predictive value?

A

TN / (TN + FN)

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25
Q

When are likelihood ratios useful and what determines if something is a very useful diagnostic test with these ratios?

A

Useful when the prevalence is unfavorable for dealing with PPV / NPV -> tells you the utility of just the test alone.

+LR > 10 is a useful test to rule in
-LR < 0.1 is a useful test to rule out

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26
Q

How do you calculate positive likelihood ratio?

A

LR+ = sensitivity / (1-specificity) = true positive rate / false positive rate.

Notice that this is very similar to the calculation of PPV, just doesn’t depend on prevalence in the population. It is the RATE of true positives / RATE of false positives.

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27
Q

How do you calculate negative likelihood ratio?

A

LR- = false negative rate / true negative rate = (1-sensitivity) / specificity

-> a low value indicates the test is very useful (esp. <0.1).

28
Q

How do you calculate attributable risk (AR) with the 4 box exposure vs disease diagram? I.e. the risk you can attribute to a given exposure?

A

Rate in exposed population - rate in unexposed population

a / (a+b) - c / (c+d)

i.e. rate of lung cancer in smokers minus rate of lung cancer in nonsmokers = lung cancer risk attributable to smoking

29
Q

How do you calculate relative risk reduction?

Give an example calculation if 50% of people who did not use beta blockers got an MI, while only 10% who did use them got an MI?

A

Relative risk reduction = 1 - relative risk

Relative risk = 10/50 = 0.2
RRR = 1 - 0.2 = 80% relative risk reduction

30
Q

Calculate absolute risk reduction in the same clinical scenario:

Give an example calculation if 50% of people who did not use beta blockers got an MI, while only 10% who did use them got an MI?

A

0.50 - 0.10 = 0.40

40% absolute risk reduction

31
Q

How do you calculate the number needed to treat? What does it mean?

A

1/(Absolute risk reduction) = number of people needed to treat in order to prevent one event

32
Q

How do you calculate the number needed to harm? What does this mean?

A

1 / (Attributable risk) = number of people needed to expose in order to cause one event

i.e. number of smokers needed to have one extra lung cancer

33
Q

How do you calculate incidence?

A

Incidence = # of new cases per unit time / # of people at risk in the population

People at risk does not include those currently diseased or those who cannot get it (i.e. previously exposed and recovered). Thus, the denominator will rarely be the entire population

34
Q

What is the formula for average duration of disease in terms of prevalence and incidence?

A

(Prevalence) / (1-Prevalence) = Incidence * Average duration of disease

You can think of this as:
(number of people with it) / (number of people susceptible) = rate of new cases among susceptible * disease duration

This is the steady state equation for a population

proportion = proportion / time * time

http://sphweb.bumc.bu.edu/otlt/MPH-Modules/EP/EP713_DiseaseFrequency/EP713_DiseaseFrequency7.html

35
Q

How do you estimate the average duration of disease in a disease of low prevalence?

A

Assume 1-P = 1.

Prevalence = Incidence * Duration of disease

Duration of disease = Prevalence / Incidence

Time = proportion / (proportion / time)

36
Q

What is selection bias?

A

Nonrandom sampling (most common) which is not representative of the population or nonrepresentative treatment allocation to subjects.

37
Q

What is allocation bias?

A

A form of selection bias where treatment allocation is not done properly
-> i.e. study places sicker patients in the treatment group

38
Q

What is the the healthy worker effect and what is opposite of it?

A

Healthy worker - study population is healthier than general population

Berkson bias - study population is sicker than general population because they are selected from a hospital

39
Q

What is nonresponse bias a broader form of and what is it?

A

Selection bias - when participating subjects differ from nonrespondents in a meaningful way

40
Q

What is attrition bias?

A
A form of selection bias where the group dropping out of the study is nonrandom, and correlated with the group most likely to have the meaningful experimental outcome. This can cause a lack of statistically significant different when there is one, or artificially create one.
#1188
41
Q

What is recall bias and when does this often happen?

A

i. e. reporting bias
- > A bias in performing the study whereby subjects who have a given outcome are more likely to recall past exposures than those who did not.
- > a big problem in case-control studies when checking exposures

42
Q

What is measurement bias and how can it be combated?

A

When information is gathered in a systematically distorted manner -> i.e. using non-standard disease classifications.

Can be combated by using objective, standardized, previously tested methods

43
Q

What is the Hawthorne effect?

A

Observer bias - The participants in a study change their behavior in response to their awareness of being observed -> i.e. observing PCPs to see if they wash their hands before every patient visit. They will change their behavior if they found out they’re in the study.

44
Q

What is the Pygmalion effect?

A

A type of Observer-expectancy bias - Effect where higher expectations lead to increased performance. I.e. Teacher is told he is teaching higher IQ students when they are actually random, but the class does higher than control because the teacher starts teaching better to facilitate their success.

45
Q

What is a procedure bias?

A

Subjects in different groups are not treated the same

46
Q

How do you reduce procedure bias and observer-expectancy bias?

A

Blinding and usage of placebos -> less biased outcomes are likely to be recorded if the research is unaware of who he is dealing with

47
Q

What is leadtime bias? How to reduce?

A

Early detection is confused with increased survival -> i.e. cancer is detected at an earlier stage so you report that they are living longer, but actually it makes no difference.

Measure back-end survival -> see if survival is better based on earlier detection at time of diagnosis

48
Q

What is one major study design method to reduce confounding bias?

A

Have subjects act as their own controls when testing a treatment via a CROSSOVER study

  • > For one period, give them placebo / standard treatment
  • > For another period, give them the treatment you’re interested in
  • > see if there is a significant difference in your outcome between the two timepoints
49
Q

What is a nested case-control study? Why are they done?

A

Within a fully defined cohort (i.e. defined via another study), you look at specific cases who have a disease in the cohort and their exposures and compare those to similar controls in a cohort who do not have the disease, looking at their exposures.

Like you might choose 4 representative controls per case.

It’s efficiency when there are WAY more controls than cases and it doesn’t make sense to measure your variable (i.e. drawing blood) on all the controls within the cohort, it’s more worth it to do it on just a few representative controls (i.e. same age, sex) per case.

50
Q

What is standard deviation vs standard error?

A

Standard deviation - measure of variability within a single set of values (single sample of size n)

Standard error - measure of variability in order to calculate a confidence interval to make an inference about the true population mean. The larger your sample size (n), the narrower your confidence interval.

51
Q

What is the equation for variance, standard deviation of a single sample, and standard error?

A

Variance = SD^2

Standard deviation = sqrt(Variance)

Standard error = Standard deviation of the sample / sqrt(n)

Where n = sample size of the study

52
Q

What would be the formula for a 95% and 99% confidence interval in a study with mean 10 and standard deviation of 3, with sample size 100

A

z score for 95% = 1.96
z score for 99% = 2.58

sample mean +/- zscore * standard error

standard error = 3/sqrt(100) = 0.3

10 +/- 1.96*0.3 = 10+/-0.588. We are 95% confident that the true population mean lies within this interval.

53
Q

What is an Type 1 vs Type 2 error?

A
1 = Alpha
2 = Beta

Type 1 error = chance of rejecting the null hypothesis when it is actually true
Type 2 error = chance of failing to reject null hypothesis when it is actually false

54
Q

How is alpha determined?

A

Alpha is determined by a value chosen by the researcher
i.e. if p<0.05, I will reject. This is a 5% chance of an alpha error, or incorrectly rejecting the null when the null is true.

55
Q

What is statistical power and how can it be increased?

A

Power = 1-beta, your chances of rejecting the null hypothesis if it’s really false.

Increased by increasing sample size
Increasing precision of measurement
Increasing expected effect size

56
Q

What statistical tests are meant to check for differences between quantitative means of 2 groups vs 3 or more groups?

A

2 groups - t-test (special case of anova). I.e. comparing mean BP between men and women

3+ groups - ANOVA - itest if at least one value is statistically different than the others. i.e. blood pressure between 4 ethnic groups.

57
Q

What is the usage of the chi-square test?

A

Used to evaluate the association between two or more categorical variables (yes or no)

58
Q

What is the coefficient of determination?

A

The r^2 value -> amount of variance of one variable that can be explained by variance in another variable.

59
Q

Should all patients be treated equally, according to justice?

A

No -> patients can be treated as higher or lower priority based on their triage.

But people should be treated fairly and equitably.

60
Q

What are exceptions where informed consent is not needed?

A
  1. Emergency
  2. Patient is incompetent legally / lacks decision making capacity
  3. Patient waives his right for consent
  4. Therapeutic privilege - decide to withhold information if it would harm them for a good reason. I.e. they are post MI and you don’t want to tell them they also have cancer (harms their autonomy for beneficence)
61
Q

What are the situations in which parental consent for a minor is not required?

A

Sex, drugs, and rock and roll
Sex - contraception, STIs, pregnancy
Drugs - substance abuse
Rock&roll - Trauma / emergency

62
Q

What is capacity vs competency?

A

Capacity - ability to medically make their own informed decisions definition
Competency - legal definition, determined by judge

63
Q

Is a written release required to release patient information according to HIPAA?

A

No, a verbal agreement to release would suffice.

64
Q

What is the equivalent to an incubation period when talking about noncommunicable / chronic disease after exposure / pathophysiologic insult (i.e. asbestos exposure until development of lung cancer)?

A

Latent period #1280

Can also be applied to risk factors and risk reducers -> i.e. time until taking an antioxidant vitamin reduces stroke risk.

65
Q

What patients should be considered eligible for hospice?

A

Patients with advanced metastatic cancers or other terminal illnesses and a life expectancy of <6 MONTHS!