data collection part 3 of 4 Flashcards

1
Q

what are the 2 different types of studies which need to be considered when deciding the type of data collection

A

prospective

retrospective

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2
Q

define prospective study

A

record variables over the the study period with the outcome measure subsequently.

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3
Q

define retrospective study

A

measure the outcome and then look bad to measure the exposure and other variables.

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4
Q

An example of a prospective study

A

cohort

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5
Q

An example of retrospective study

A

case control study

cross sectional study

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6
Q

what are the pros of a prospective study

A
  • fewer sources of bias (no recall bias)
  • less chance of confounding
  • some data can only be measure prospectively
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7
Q

what are the cons of a prospective study

A
  • time and resource intensive
  • tendency to collect data on more variables than you need or can use in your analyses.
  • subjects can drop out (bias)
  • unfeasible for rare outcomes
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8
Q

what are the pros of a retrospective study

A
  • less time and resource intensive

- allows oversampling of rare outcomes

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9
Q

what are the cons of retrospective study

A
  • more suitable to bias (recall + recruitment)
  • some variable cannot be measure directly (e.g. BMI, BP, pre outcome/ pre treatment)
  • if data are form records little control over these
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10
Q

what is the purpose of a research diary

A
  • ensure timely record of what you do

- observations on data collection processes influencing data quality and completeness.

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11
Q

what id the purpose of a data collection pro forma

A

-variables are measures and recorded CONSITENTLTY.

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12
Q

What is a commonly used pro forma

A

questionnaire

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13
Q

what are 3 common pit falls in questionnaires

A
  • ambitigious questions (would you normally feel uncomfortable about your diabetes.
  • leading questions ( to what ethnic group do you belong
  • multiple questions (have you found diabetes to be limiting longstanding illness)
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14
Q

what are 2 types of questions used in a questionnaire

A
  • open ended (respondent determined)- need coding prior to analysis
  • closed ended (part respondent/part researcher determined)
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15
Q

what does piloting proformas mean

A

Ask non-participants/researchers to try using draft versions of the questionnaires/proformas – are they:

  • ambiguous?
  • leading?
  • multi-factored?
  • undermined by missing answer categories?
  • ‘face valid’ (i.e. do they make sense)?

Try ‘coding’ and/or capturing data from a sample of completed questionnaires/proformas – are there:

  • missing answers?
  • inconsistent answers?
  • implausible answers?
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