RESS Flashcards

1
Q

A research Study

A

Generate new knowledge when none is available

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2
Q

Audit

A

Quality improvement process to improve patient care

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3
Q

2 aims of an audit

A

1) Aspects of structure, process and outcomes are selected and evaluated
2) Is what ought to be happening actually happening

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4
Q

Service evaluation

A

Evaluates a current service/practice to inform local decision making

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5
Q

Difference between an audit and a service evaluation

A

Audit = designed to answer certain questions (Does this service reach a certain standard?) - Only interested in the proportion of patients who receive the care recommended (Outcome)
Service evaluation = What standard does this service achieve - Interested in variation in the characteristics of healthcare delivery (Exposure)

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6
Q

What is the Commision for Patient and Public Involvement in Health (CPPIG)?

A

An organisation set up to make sure the public is involved in decision making about health and services - over 400

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7
Q

What can/does a CPPIG do?

A

Have statutory powers to ensure they are listened to
Provided with training and development opportunities
Obtain views of the community
Influence design and access to NHS services

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8
Q

What is the engagement cycle?

A

A strategic tool to help identify who needs what in order to engage communities at each stage of commisioning

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9
Q

What are the burdens and risks of a study?

A

Anything that may harm the patient
The discussion of unsettling issues
Physical or mental discomfort,
Disclosure or loss of personal information

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10
Q

3 situations when ethical approval + consent may not be required

A

1) Changes in practice are routine and not part of the study’s design and either;
2) All the data used have been collected during/ as an established part of routine practice
3) The collection of any additional data used do not impose excessive burdens or risks on participants

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11
Q

4 Ethical responsibilities in the design and conduct of a study

A

1) Well designed and with potential benefits that justify the risks, burdens and resources involved
2) Seek to minimise the burden and risk
3) Ensure participants provide informed consent
4) Wary of expected and unanticipated burdens/risks during the study

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12
Q

What do NICE do?

A

Independent organisation responsible for providing national guidance and advice to improve health and social care

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13
Q

3 roles of NICE

A

1) Reduce variation in availability and quality of treatment
2) Help resolve uncertainty about which medicines and treatments work best and which represent best value for money
3) Set national standards on how people with certain conditions should be treated

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14
Q

Define a Guideline

A

A comprehensive set of recommendations for a particular disease or condition

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15
Q

Define a Quality Standard

A

A prioritised, concise set of statements with associated measurable indicators, chosen and adapted from the clinical guideline recommendations.

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16
Q

What do National Collaborating Centres (NCC’s) do?

A

Provide technical input and draft the guideline

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17
Q

What do Guideline development groups (CDG’s) do?

A

Review evidence base and make recommendations

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18
Q

Who is involved in a CDG?

A

Chair - highly experienced and respected clinical leader
Clinical and academic experts
Patients and lay members
NCC technical team

19
Q

4 checks when choosing outcomes and exposures

A

1) Exposure must precede outcome
2) Exposure must be different to the outcome
3) Both must be something specific
4) Must be formatted as binary variables - A + B

20
Q

Define a Confounder

A

Can cause the outcome and the exposure
Must adjust for them as can create a pseudo-causal path which will generate a statistical relationship between the 2 events when non-exists

21
Q

Define a Mediator

A

Can cause the outcome and be caused by the exposure

Don’t need to adjust for them as not part of the causal pathway and they are an important pathway

22
Q

Define a competing exposure

A

Can only cause the outcome
Might adjust for these if they cause a substantial amount of variation in the exposure as it may make the association easier to detect

23
Q

3 criteria for a causal relationship

A

1) Only possible if the variable precedes the effect
2) Variables must be temporally distributed (Past to present)
3) Should only be ommited when there is very firm evidence that no causal relationship exists

24
Q

What does a Directed Acyclic Graph do?

A

1) Summarises the theoretical and speculative causal relationships between variables pertinent to our question
2) Identifies any measurable covariates acting as cofounders, competing exposures and mediators

25
Q

3 Pros of a Prospective study

A

1) Fewer sources of bias
2) Less chance of unmeasured confounding variable
3) Some variable can only be measured prospectively

26
Q

4 Cons of a Prospective study

A

1) Time and resource intensive
2) Tendency to collect data on more variables than you need or can use in your analysis
3) Participants can drop out during the study - bias
4) Usually infeasible for rare outcome

27
Q

2 Pros of a Retrospective study

A

1) Data collection is less time and resource intensive

2) Allows oversampling for rare outcome

28
Q

3 Cons of a Retrospective study

A

1) More susceptible to bias
2) Some variables cannot be measured directly
3) If data is from records, little control over how they have been measured

29
Q

Prospective or Retrospective?
Case Control
Cohort
Cross-sectional

A

Retrospective
Prospective
Mixture

30
Q

Define

1) Defining variables conceptually
2) Defining variables operationally

A

1) Establishing what they should mean

2) Establishing what they actually mean

31
Q

What does a data collection pro-forma do?

A

Ensures that project researchers measure/record the variable consistently, accurately and with minimal missingness

32
Q

What should a questionnaire be?

A

Series of clearly written questions that are unambiguous, definitive and instructive

33
Q

Preparing data for analysis - What is in the rows and collumns

A
Rows = Cases/Participants
Columns = Variables
34
Q

Define the target population

A

The total, finite population of people/context

35
Q

Define the study sample

A

The people/contexts from within the target population for which data is collected

36
Q

What is a complete sample - give pro and con

A

The entire study population
Pro - No bias
Con - Resource intense/expensive

37
Q

What is an unstratified/random sample - give pro and con

A

Every member of the target population have the same chance of being sampled
Pro - Easy to design and conduct
Con - Small groups may be misrepresented by chance

38
Q

What is a stratified random/probability sample - give pro and con

A

Random sample from the target pop within each stata - every member within each strata has the same chance of being sampled and the number of each stratum can be oversampled to strengthen analysis
Pro - Representative and improved power for rare strata
Con - Population may not be be easily divisible into strata

39
Q

Define the Odds Ratio

A

Represents the odds that an outcome will occur given a particular exposure, compared to the odds that the outcome will occur in the absence of that exposure

40
Q

Define the confidence interaval

A

A range of values so defined that there is a specified probability that the parameter lies within it.

41
Q

What does a 95% CI give us?

A

2 values between which the true value lies 95% of the time

42
Q

What does it mean if the CI round an odds ratio does not include 1?

A

We are confident the effect is genuine

43
Q

How to calculate an Odds Ratio

A

Look at notes