Analyzing costs Flashcards

1
Q

Mean/average

A

Unbiased
Sensitive to outliers
- Precision (SE) looks at the standard deviation
- Confidence Intervals (CI) looks at the range of values that are likely to cover the true (unknown) population mean value

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2
Q

Median costs

A

Less influences by outliers

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3
Q

Net monetary benefit (NMB)

A

NMB > CEAC
- Only shows if ICER is acceptable at lambda, has no info on if its actually preferred.

= (lambda x difference E) - difference C

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4
Q

Key takeaways when analyzing costs (4)

A
  1. Collect the right data
  2. Pay attention to uncertainty in results
  3. Report results of relevant subgroups
  4. Interpretation is key
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5
Q

Consistency argument

A

Equal CE ratios at different points in time should receive equal priority (same discount)
- Highly questionable (do not consider changing costs etc.)

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6
Q

Paralyzing paradox

A

When discount health < money, the nominator shoul be delayed.

  • Endless prosponing
  • Experts say that lower discount rate health < costs is preferred.
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7
Q

Allocative efficiency

A

Cost-benefit analysis

How much goes to HC? Look at different sectors

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8
Q

Productive efficiency

A

Cost-effect analsysis

Productivity of each procedure?

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9
Q

Maximum acceptable ICERS (4)

A
  1. Rule of thumb
  2. League table
  3. Revealed preference
  4. Stated preference
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10
Q

Rule of thumb

A
Historical data/knowledge 
Create categories (WTP)
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11
Q

League table

A

Rank and calculate cumulative costs

If info is available

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12
Q

Revealed preference

A

Examine the WTP-decision makers

Microlevel too possible

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13
Q

Stated preference

A
Estimate values (median) 
Choice modelling (preference of characteristics) 
Contingent valuation (valuation of goods/services)
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14
Q

Prevalence

A

Cases/1000 with a given disease

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15
Q

Incidence

A

New cases/1000 with disease at given time. E.g.,

28 in 2 years, then 14/1000 person-year

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16
Q

Risk

A

Relative risk/risk difference

R1/Ro = exposure

17
Q

Odds ratio

A

Case control studies

P/1-P)/(Q/1-Q

18
Q

Hazard ratio

A

Difference in survival
Assumed to be constant
= Risk/cases

19
Q

CEAC

A

% CE bepaald door threshold.
CEAC < NMB, since NMB adds analysis of patient level data which is easier to itnerpret the ICERs and ensures a closer normal distribution

20
Q

Monte Carlo

A

Random values
Probabilistic for modelling risk and uncertainty
Better than deterministic since it measures not only expected outcomes but also the probability of the occurrence of the outcome.