8/30b Intro to Evidence Based Practice Flashcards

1
Q

Why is evidence based medicine important?

A

it integrates the best research evidence with clinical expertise

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2
Q

6S Model Breakdown

A
LEAP Practices - summary of systematic reviews are helpful for review
Summaries - whole group of experts get together to get more information on a broader topic and evidence based practices
Studies are primary original research
then synopses of studies
then syntheses
then synopses of syntheses
then summaries
then systems
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3
Q

Breakdown of Primary Original Research - Studies

A

Level 2 - Randomized Control Trials (RCTs)
Level 3 - Cohort Studies (observational)
Level 4 - Case Control Studies (observational)
Level 4 - Cross Sectional Studies (Observational)
Level 4 - Case Reports/Case Studies (Descriptive)

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4
Q

Define RCT

A

Randomized Control Study - control group is limited because random groups are input into the control groups and it is the highest level of individual studies

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5
Q

Cohort Studies

A

Level 3, follow a group of people around over a TIME period

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6
Q

Case Control Studies

A

Level 4, retrospective
-re-hospitalization for patients who had heart failure and were educated after vs patients who weren’t educated after their heart failure. The rate of rehospitalization between the two is measured and compared

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7
Q

Cross sectional studies

A

Level 4, analyzes data from a population or a representative subset at a specific point in time

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8
Q

Case Reports/Case Studies

A

Level 4, descriptive, best available evidence - 5 people are put through the same exercise program and analyzed

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9
Q

Research Evidence

A

Diagnosis - cross sectional
prognosis - longitudinal (cohort)
intervention - experimental studies (RCT)

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10
Q

Evidence Based Practice (EBP) Steps

A
  1. ASK: Answerable clinical question formulated
  2. ACQUIRE: Systematic literature review
  3. APPRAISE: Research evidence critically analyzed
  4. APPLY: Integrated with expertise and patient circumstances
  5. ANALYZE AND ADJUST: Steps Evaluated
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11
Q

How do you ask your question when doing research for EBPs

A

P - who is the Patient you care about?
I - what is the necessary Intervention after understanding the diagnosis (test and measures) and prognosis (how much should they/did they change)?
C - Compare between different interventions and solutions
O - what is the necessary Outcome?

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12
Q

How do you find a legit and valuable piece of systematic literature?

A
  1. Start with google/google scholar
  2. look in pubmed
  3. focus on PICO
  4. summarize* multiple individual studies can be dropped in a forest plot to get the std mean difference (SMD**)
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13
Q

How do you estimate error?

A

Standard Error of Measurement (SEM) 95% confidence interval (what would I expect for the measurement 95% of the time?)
Calculated value from SD and reliability
If the variability is too large, then it is not trustworthy

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14
Q

MDC**

A

Minimal Detectable Change - based on SEM (standard error of measurement) and is the minimum amount of change that ensures the change isn’t the result of a measurement error

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15
Q

MCID***

A

Minimal Clinically Important Difference - published value of change in an instrument that indicates the minimum amount of change required for your patient to feel a difference in the variable you are measuring
**smallest change that might be considered important to a clinician, at least MDC, defined for a population or patient group

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16
Q

EBP CPG****

A

Evidence Based Practice Clinical Practice Guidelines:
Peer reviewed document written by a panel of experts that makes recommendations for treatment. It should:
-be based on systematic research
-include ratings of the quality of the evidence and the strength
-Level of evidence: Level I (highest quality) to V
-Grade of Evidence: “A” is strong evidence

17
Q

Systematic review

A

review of existing studies that includes:

  • systematic/comprehensive/transparent search strat
  • clear eligibility
  • evaluation of individual study quality
  • ordered way to deal with lots of evidence
  • very long
18
Q

Meta-analysis

A

statistical approach that pools data from multiple studies to estimate the overall “effect” of an intervention

19
Q

Results in meta-analysis

A
  1. Absolute: in the unites of the outcome - how much did the group change? how much effect between groups? comparison between groups
  2. Standardized: unit-less and are therefore useful for comparing effects from diff studies to determine the effect of intervention on measures (SMD-standard mean difference)
20
Q

Example of a meta-analysis

A

forest plot on systematic reviews

21
Q

Absolute effects

A

the magnitude of the effect likely to be clinically important, based on

  • your experience
  • established minimally clinically important difference (MCID)
22
Q

Standardized Effect Sizes

A

0.2-0.5 = small, unlikely to be clinically meaningful
0.5-0.8 = moderate
>0.8 = large, likely to be meaningful
creates a way to compare different studies that used different units

23
Q

when comparing multiple studies, use:

A

standardized effect because it has no units

24
Q

forest plot, absolute vs standardized

A

absolute shows the size of the change

standardized shows no units

25
Q

Intervention studies

A

Know effect - understand sample and dose by breaking down the effect size and the 95% CI