Behavioral Science Flashcards
sensitivity =
=TP/(TP + FN)
=1-FN
*sensitivity rules OUT
specificity =
=TN/(TN + FP)
=1-FP
*specificity rules IN
Positive Predictive Value = PPV =
= TP/(TP + FP)
- PPV = proportion of test results that are true positive
- if increased prevalence, then increased PPV
Negative Predictive Value = NPV =
= TN/(TN+FN)
- proportion of negative test results that are truly negative
- increased prevalence, decreased NPV
Point prevalence =
=total cases in population at a given time/total population at a given time
Prevalence =
=incidence X disease duration
Incidence =
=new cases in popl over a given period of time/total popl at risk during that time period
Odds Ratio = OR =
=(a/b)/(c/d) = ad/bc
*use OR for case-control studies
Relative Risk = RR=
= [a/(a+b)]/[c/(c+d)]
*use RR for cohort studies
Attributable Risk =
= [a/(a+b)] - [c/(c+d)]
*AR is the proportion of disease occurences attributable to exposure to a risk factor
Absolute Risk Reduction
the reduction in risk associated with a treatment as compared to a placebo
Number needed to treat = NNT =
= 1/absolute risk reduction
= 1/[a/(a+b)]
Number needed to harm = NNH =
= 1/attributable risk
Precision, Accuracy, Reliability, Validity, Random error, Systemic error
Precision = Reliability Accuracy = Validity
Random error - reduces precision in a test
Systemic error - reduces accuracy in a test
Standard error of the mean = SEM =
=σ/sqrt of n
used in Normal/Guassian/Bell-Shaped curves (where mean = mode = median)
where:
σ = standard deviation
sqrt of n = square root of sample size
*note: SEM decreases as n (sample size) increases
In a normal/gaussian/bell-curve (where mean=median=mode), what percent of the population is 1 σ (standard deviation) to either side of mean? 2σ to either side of mean? 3σ on either side of mean?
What percent of the population correlates wtih a σ = 1.645 on either side of the mean?
1σ on either side of mean = 68% of popl
2σ = 95%
3σ = 100% (99.7%)
1.645σ = 90% of popl
relationship of mean, median,mode in a positively-skewed statistical distribution?
positive skew: asymmetry with tail on the right
mean > median > mode
relationship of mean, median,mode in a negatively skewed statistical distribution
negative skew - asymmetry with tail on left
mean < median < mode
Null hypothesis = H0 =
hypothesis of no difference; there’s no association between disease and the risk factor in the population
Alternative hypothesis = H1
hypothesis that there is some difference; there is some association between the disease and the risk factor in the population
type 1/alpha error = false positive error
stating there is an effect or difference when none exists; accepting H1 (rejecting H0) when H0 is really true
*ie convicting an innocent man
p value
p = probablity of making a type 1 (alpha) error
ps not actually there)
Type 2/Beta error = False negative error
stating there is not an effect or difference when one exists; not rejecting H0 when it actually is false (so choosing H0 when H1 is true)
*ie setting a guilty man free
Beta
probability of making a type 2 (beta) error
Power =
= 1 - Beta
probability of rejecting H0 when it is in fact false or likelihood of finding a difference when one in fact exists
if increase sample size, then increase power (power in #s!)
Meta analysis
pools data/results from several similar studies to reach an overall conclusion; increases power
Confidence Interval = CI =
Range from [mean - Z(SEM)] to [mean + Z(SEM)]
*example, for a 95% CI:
= mean +/- 1.96 X SEM
= mean +/- 1.96 X (σ/sqrt n)
- if 95% CI for a mean difference between 2 variable includes 0, then there’s no significan different and H0 is not rejected
- if 95% CI for odds ratio or relative risk includes 1, H0 is not rejected
CI 90%, Z = ?
CI 95%, Z = ?
CI 99%, Z = ?
CI 90%, Z = 1.645
CI 95%, Z = 1.96
CI 99%, Z = 2.58
*95% CI, corresponds to p=0.05
t-test vs ANOVA vs chi^2
t-test –> checks difference between means of 2 groups
ANOVA –> checks difference between means of 3 or more groups
chi-square test –> checks the difference between 2 or more percentages or proportions of categorical outcomes (not of mean values)
correlation coefficient = r:
r is always between -1 and 1; the closer the absolute value of r is to 1, the stronger the correlation between the 2 variables
*usually report r^2 = coefficient of determination
Medicare vs Medicaid:
Medicare: pts > 65 years old ( e for elderly), <65 with certain disabilities, and pts with ESRD
Medicaid: federal and state healt assistance for people with very low income (d for destitute)
core ethical principles: autonomy, beneficence, nonmaleficence, justice
autonomy - must respect patients as individuals and honor their preferences in medical care
beneficence - physicians must act in patients’ best interest; may conflict with autonomy. if pt can make an informed decision, then pt ultimatley has right to decide
nonmaleficence - “do no harm”; but, if benefits of an intervention outweigh risks, pt may make informed decision to proceed (ie with surgeries, meds…)
justice - treat persons fairly
Exceptions to informed consent:
1) Pt lacks decision-making capacity or is legally incompetent (ie minors)
2) Implied consent in an emergency
3) Therapeutic privilege - withholding information when disclosure would severely harm pt or undermind informed decision-making capacity
4) Waiver - pt waives right of informed consent
Minors: Exceptions for when parental consent is NOT required:
- pt is married, self-supporting, has kids, is in military
- emergency situations
- contraceptives
- treatment involving STDs, medical care during pregnancy, managing drug addiction
Advance directives:
- Oral
- Living will
- Durable power of attorney
- oral advance directive - use incapacitated pt’s prior oral statements as a guide; more valide if pt was informed, directive was specific, pt made a choice; decision was repeated over time to multiple people
- living will = written advance directive - written by pt ahead of time, in case he/she become incapacitated and cannot communicate
- durable power of attorney - pt designates a surrogate to make medical decisions in case he/she loses decision-making capacity; surrogate retains power unless revoked by a patient; more flexible than a living will
Can a pt’s family require a doctor to withhold information from the pt?
No.
Priority of surrogates, if a patient becomes incompetent, but did not prepare an advance directive:
spouse > adult children > parents > siblings > other relatives