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from analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin
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From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

Mar 27, 2015

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Page 1: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

from analysis plan to data collection

Helen Maguire

acknowledgements

Katharina Alpers, Yvan Hutin

Page 2: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

its logical: data collection follows the analysis plan ..

Research question:? Risk factors for leptospirosis

Study objectives:Estimate association between water exposure and disease

Design/ indicator:Case controlOdds ratio

Analysis plan:Dummy table

Data elementsNeeded:? Water exposure? Sick

Data collection:Interview

Individual items:? Swam in water ? Sick

Consolidationof theinstrument

Page 3: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

data quality

• reliability

• accuracy

Data quality

Page 4: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

data quality

• reliability– reproducibility/repeatability/precision

– ability of a measurement to give the same result or similar result with repeated measurements of the same thing

– refers to stability or consistency of information

• accuracy• ability of a measurement to be correct on the

average

Data quality

Page 5: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

reliability and accuracy

Data quality

Page 6: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

ReliableAccurate

Not reliableAccurate

ReliableNot accurate

Not reliableNot accurate

reliability and accuracy

Data quality

Page 7: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

some essentials

1. question-by-question guide

2. train staff who collect data

3. standardize the data collection procedure

4. control instruments or specimen collection

5. validate

Data collection

Page 8: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

1 question by question guide(q-by-q)

• short document

• each question/data item – item by item

• guidance as to how the data should be collected

• derived variables explained

Data collection

Page 9: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

2 train field workers

• select good, experienced field workers

• walk through q-by-q guide

• explain where data is

• clarify how to record it

• simulate interviews with team

Data collection

Page 10: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

3 standardize data collection

• interviewers– work in teams

– resolve issues in the whole group

• instruments/specimens/samples– calibration, standardization, packaging, media,

transport

Data collection

Page 11: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

4 control instruments

• team checks instrument/samples before leaving

• all take responsibility for the instrument:– names and signatures

• investigator checks instruments/samples as they come

Data collection

Page 12: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

5 validate

how would you validate/verify?

Page 13: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

example - triangulation to estimate the proportion of blood units screened for HIV

(internal validation)

• interview laboratory manager• ? what is the number of units screened

• observe practices of the laboratory technician– structured observation guide

• ? proportion of units tested

• review of registers - ? a sample– proforma

• ? number of tests ordered, performed

Instruments

Page 14: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

data might include

• facts– individual characteristics

• height, age, income

– environment

• housing, family size

– behaviours, practices

• alcohol or tobacco consumption

• judgements – attitudes/opinions

• indicators of socio-economic status …

• blood test results

• environmental samples Instruments

Page 15: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

list some ways to collect data

Instruments

Page 16: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

• proformas– clinical records

– surveillance records

– registers

• questionnaires

• sampling /laboratory results

• other data – socio-economic status derived from postcode –via

linkages

– denominator data

– reference data

Page 17: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

checking the instrument(s) against the analysis plan

• make sure you can collect what you need for each variable /indicator

• suppress unnecessary data collection or questions at interview– those that do not be used in the analysis

Production of the instrument

Page 18: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

is a questionnaire good?why?

• list 5 advantages and 5 disadvantages

Page 19: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

advantages of questionnaires

• can reach a large number of people

• relatively easy and economic

• relate directly to study question

• provide quantifiable answers

• relatively easy to analyse

Page 20: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

possible disadvantage of questionnaire

• bias …?

• how might it be introduced at this stage?

• how would you avoid it?

• pilot - check for leading questions

Page 21: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

how to reduce bias

• structured questionnaire

• ensure high response rate

• random choice of interview partners (next birthday)

• train interviewers

Page 22: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

disadvantages of questionnaires• provide only limited insight into a

problem– the range of possible responses is limited – the question maybe misleading

Unclear question can lead to • misunderstanding • misinterpretation

• do not allow for mistakes– must be right from the beginning – missing data hard to chase

how to avoid ?

Page 23: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

pilot testing of the questionnaire

• check that the questionnaire is:– clear

– understandable

– acceptable

• check flow and skip pattern

• check coding

• estimate time needed

Production of the instrument

Page 24: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

how would you administer a questionnaire?

Page 25: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

questionnaires

• internet/email/post self completion

• interviewer-administered– face to face

– telephone

Page 26: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

what makes a well designed questionnaire?

Page 27: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

what makes a well designed questionnaire?

• good appearance (easy for the eye)

• short and simple

• numbering / flow /sign-posting

/instructions/where to return and how

• relevant and logical

Page 28: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

introduction

• covering letter/ interview introduction– Who are you / you work for

– Why are you investigating

– Where did you obtain the respondent’s name

– How and where can you be contacted

– Guarantee of confidentiality

– Length of interview (be honest)

⇒ Usefulness of study should be clear to all respondents

Page 29: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

• Good morning ,

My name is Katharina Alpers .... , I work for ……..

You may have been already informed that a survey on risk

factors for being stung by a jellyfish will be done this week in

Mahon. This study has been approved by the Spanish national

ethical committee. Only anonymous data will be analysed. You

have been randomly selected to participate in this study. Your

participation is voluntary. The interview is about 10 minutes

long. Are you able to help us?

thanks so much .....

Page 30: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

questions

do you like to go swimming and do you mind being

stung by jellyfish?

Yes No

Page 31: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

what is the jellyfish situation? Good Bad

versus

how often did you see jellyfish during the last week?

Once Twice Three times or more Never Don´t know

Page 32: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

did you see more than an average of 33 jellyfish/m2 salt water surface on more than 3 occasions that you went swimming in the morning last week?

Yes No

versus

have you seen jellyfish on more than 3 mornings last week?

Yes No Don´t know

Page 33: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

main question formats

• closed format forced choiceYes Always No Sometimes Don’t know Never

• open format free textWhat did you do to avoid being stung by jellyfish? Please describe : __________________________________________________________________________________

Page 34: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

• when would open questions be good ?

• what problems might there be with open questions?

Page 35: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

advantages of open questions

• exploration possible – to generate hypotheses

• useful for exploring knowledge and attitudes• qualitative research

• focus groups

• trawling questionnaires

Page 36: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

disadvantages of open questions

• interviewer bias

• time-consuming

• coding problems

• difficult to analyse

• difficult to compare groups

Page 37: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

advantages of closed questions

• simple

• less discrimination against less verbally expressive people

• easy to code, record, analyse

• easy to compare

Page 38: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

disadvantages of closed questions

• restricted number of possible answers

• possible loss of additional information

Compromise

if yes specify : __________”

Page 39: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

which of the following beaches have you visited during your stay in Menorca?

Lazareto beach Yes No Don´t know

Cala’n Porter Yes No Don´t know Rafalet

Yes No Don´t know

Macarella Yes No Don´t

know

Sa Mesquida Yes No Don´t know

checklist

Page 40: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

rating scale

how often did you see jellyfish during the past week?

Always Sometimes Seldom Never

Mornings

Lunchtime

Evenings

Page 41: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

rating scalenumericalhow severe was your pain after you were stung?

(please circle) 1 2 3 4 5 6 7

Not painful at all Very painful

analoguehow severe is your pain (put the tick on the line)

0 10

Page 42: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

Likert ScaleRensis Likert, 1903-1981Five (or more) ordered response levels

Jellyfish also have the right to swim in the Mediterranean sea

I strongly disagree

I disagree

I neither agree or disagree

I agree

I strongly agree

Page 43: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

problems and pitfalls

• avoid questions that ask two things at once - you won’t know which part people are answering:

have you seen or been stung by jellyfish?

• ambiguity.....

do you swim a lot?

Page 44: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

problems and pitfalls• avoid jargon/abbreviations/slang

should jellyfish sting victims receive PEP?

(post exposure prophylaxis)

• avoid not mutually exclusive options

What is your age ? 16-20 20-25 25-30 35-40

Page 45: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

summary

a well designed questionnaire:

• helps you answer your research question

• minimises potential sources of bias

-> increases the validity of the replies

• is more likely be completed

Page 46: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

questionnaire validation

• use or adapt existing questionnaires – validated

• new questionnaires– need to be tested (pilot)

Page 47: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

conclusion

• don’t forget to thank the interviewed persons

• tell them when the results will be available and where

Page 48: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

take home messages

• think instruments, data sources, not only questionnaire

• list your indicators

• prepare your variables ->indicators

• prepare dummy tables

• polish, polish and polish to ensure good data quality

Page 49: From analysis plan to data collection Helen Maguire acknowledgements Katharina Alpers, Yvan Hutin.

• thanks for your attention