Week 2- Research Design Overview Flashcards

1
Q

Levels of evidence- systematic reviews

A

Secondary study

Level 1 bias

Description: combines all lower level primary studies to get a conclusion

Strengths: summary of evidence. Good validity. Greatly reduced bias.

Weaknesses: time consuming. Only as strong as the weakest study. Means it can be prone to biases. Relies on data being available.

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2
Q

Levels of evidence- RCT (randomised control trial)

A

Primary study: experimental

Level 2 bias

‘Randomised’ refers to how we allocate people to each group. Two types, parallel trials and crossover trials.

Strengths: strongest primary design. Used to determine the effectiveness of an intervention. Good reliability and validity.

Weaknesses: time consuming. Expensive. Only looks at one or two variables. Lots of resources required.

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3
Q

Levels of evidence- Quasi (pseudo trial)

A

Primary: experimental study

Level 3.1 bias

Description: almost identical to RCT but isn’t randomised. Eg. testing genders or races against each other.

Strengths: easy to set up. Realistic (can take place outside a lab). Useful when it’s unethical to manipulate the IV.

Weaknesses: subject to allocation bias. Could be difficult to determine causation.

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4
Q

Levels of evidence- cohort

A

Primary: observational study

Level 3.2 bias

Description: two types, prospective and retrospective. Prospective looks at a group of people exposed to something and follows them over a period of time.

Strengths: suitable for rare exposures. Can assess exposure on multiple outcomes. Less prone to recall bias.

Weaknesses: not suitable for rare outcomes if the subject doesn’t develop the desired outcome, time is wasted. High dropout rates

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5
Q

Levels of evidence- case control

A

Primary: observational study

Level 3.3 bias

Description: always retrospective= looking back to see if there’s a relationship with an exposure.

Strengths: suitable for rare outcomes. More cost effective because less resource and time intensive. Useful for looking at multiple exposures.

Weaknesses: very prone to recall bias. Can not determine causation.

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6
Q

Levels of evidence- cross sectional (prevalence study)

A

Primary: observational study

Level 4 bias

Description: “snapshot”. Descriptive study of a group of people at one point in time. Eg. census

Strengths: cost effective. Quick and easy.

Weaknesses: relies on self report. Only valid at one point of time.

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7
Q

Levels of evidence- correlational

A

Primary: observational study

Level 4 bias

Description: used to assess the relationship between two variables. Testing a relationship.

Strengths: useful to determine an indicative relationship. Stimulates further study.

Weaknesses: correlation does not equal causation

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8
Q

Levels of evidence- case series

A

Primary: observational study

Level 4 bias

Description: group of cases presenting similarly in disease or symptoms. No control groups. Hypothesis generating. Eg. HIV first discovered

Strengths: lots of in depth info on a small group. Realistic. Useful for measuring naturally occurring things.

Weaknesses: small sample which limits validity. Can’t generalise. Mixture of self reports and observations

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9
Q

Levels of evidence- case study

A

Primary: qualitative study

Level 5 bias

Description: in depth study on either a person or disease

Strengths: hypothesis generating. Rich and in depth info on topic. High internal validity

Weaknesses: limits reliability. No generalisation

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10
Q

Levels of evidence- grounded theory

A

Primary: qualitative study

Level 5 bias

Description: creating a theory from data gathered from a group of people. The theory is “grounded in actual data”

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11
Q

Levels of evidence- phenomenology

A

Primary: qualitative study

Level 5 bias

Description: aims to understand the lived experience of a person in relation to a concept. Focuses on that persons experience in a certain situation

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12
Q

Levels of evidence- ethnography

A

Primary: qualitative study

Level 5 bias

Description: researchers observe or interact with a study’s participants in their real life environment. Creates shared understanding.

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13
Q

When to use PICO/ PEO

A

When identifying the question you want to address, depending on weather you’re looking at qualitative or quantitative research

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14
Q

Purpose of PICO/ PEO

A

Provides a framework for formulating patient-specific clinical questions.

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15
Q

PICO stands for and study type used for

A

Quantitative studies

P- patient problem (or population). What are the characteristics of the population or patient

I- intervention. How do we wish to intervene

C- control/ comparison. Alternative intervention

O- outcomes. What are the possible outcomes

Eg. (P) in middle aged male amputees suffering from phantom limb pain, (I) is gabapentin, (C) compared with placebo, (O) effective in decreasing pain.

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16
Q

PEO stands for and study used for

A

Qualitative

P- population

E- exposure

O- outcome

17
Q

PICo stands for and study used for

A

Qualitative

P- population or problem. Characteristics of the population or patient.

I- interest. Relates to defined event, activity, experience or process

Co- context. The setting or distinct characteristics.

Eg. (P) what are caregivers, providing home based care to patients with Alzheimer’s disease, (I) experiences in (Co) Australia.