e-epidemiology – adapting epidemiological data collection to the 21st century (4 cr3 1100...

April 12, 2023Christin Bexelius 1

Bexelius C et al.: e-epidemiology – adapting epidemiological data collection to the 21st century This slideshow, presented at Medicine 2.0’08, Sept 4/5th, 2008, in Toronto, was

uploaded on behalf of the presenter by the Medicine 2.0 team Do not miss the next Medicine 2.0 congress on 17/18th Sept 2009

(www.medicine20congress.com) Order Audio Recordings (mp3) of Medicine 2.0’08 presentations at

http://www.medicine20congress.com/mp3.php

e-epidemiology – adapting epidemiological data collection to the 21st century

Christin Bexelius, PhD-studentJan-Eric Litton, ProfessorDepartment of Medical Epidemiology and BiostatisticsKarolinska Institutet, Sweden

April 12, 2023Christin Bexelius 3

Outline

Epidemiology

LifeGene

e-epidemiology

Examples Web Cell phones Interactive Voice Response

Conclusion

April 12, 2023Christin Bexelius 4

Epidemiology

Cured

Dead

Chronic/currentdisease

time

DiagnosisHealthy

Exposuree.g., smoking, genetics, diet

April 12, 2023Christin Bexelius 5

Cohort

April 12, 2023Christin Bexelius 6

Prospective cohort with at least 500,000 individuals Genetically informative sample Entire country

Collection of genetic samples at start

Rapid, repeated collection of environmental and life-style information

A national resource Open to all Harmonized with other international cohorts

April 12, 2023Christin Bexelius 7

e-epidemiology

e-epidemiology

Web

Digital paper

April 12, 2023Christin Bexelius 8

Web-based questionnaires

Women’s LifeStyle and Health study 50,000 women Aged 40-59 years Mixed mode; paper and web Response rate 71%

The twin study 43,000 twins, men and women Aged 20-45 years Response rate 50% web only

HPV-study 25,000 women Aged 18-45 years Mixed mode; paper and web Response rate 62%

Prostate cancer 7,000 men with history of

prostate cancer, 55-70 years Genomic and environmental

data Data collection during 1.5 years Mixed mode; paper and web Response rate 77%

April 12, 2023Christin Bexelius 9

Web-based hearing test

Hearing test in home environment

Java-based

Requires headphones and calibration from reference person

Sensitivity 75% Specificity 96%

April 12, 2023Christin Bexelius 10

Cell phones – text messaging

Pilot study testing the feasibility of using text messaging in collection of data on influenza vaccination

2400 individuals in the Swedish population, 0-100 years

Low response rate

Feasible for data collection on vaccination status

April 12, 2023Christin Bexelius 11

Cell phones – Java based questionnaire

Real-time measures of physical activity levels via Java-based questionnaire on cell phones

22 women aged 19-45 years

Comparison to Double Labeled Water (gold standard)

High agreement compared to paper questionnaires

April 12, 2023Christin Bexelius 12

Real-time data collection through web and IVR Surveillance of acute respiratory

infection through self-report Web-based questionnaires Interactive Voice Response (IVR)

3,500 individuals living in Stockholm county

October 2007 – May 2008

1/3 IVR 2/3 Web

April 12, 2023Christin Bexelius 13

Conclusion

To conduct large scale epidemiological studies, new effective methods for data collection is needed

Electronic techniques have this potential

The science underlying e-epidemiology adapts the epidemiological data collection to the 21th century

April 12, 2023Christin Bexelius 14

e-epidemiology – adapting epidemiological data collection to the 21st century

Thank you!

Christin.Bexelius@ki.se

April 12, 2023Christin Bexelius 15

Questionnaire 2 Mobile average 14 Mobile day 15

Bland Altman plot

Quest 2

April 12, 2023Christin Bexelius 16

Introduction

Internet and telephone access, Sweden 2007

87%

71%

94% 94%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Internet inhousehold

Broad band Mobilephones

Landlinephones

Source: Statistics’ Sweden and PTS

April 12, 2023Christin Bexelius 17

1636 (76%)

1192 (57%)

1454 (68%)

1055 (44%)

14 (1%)

176 (7%)

344 (14%)

868 (36%)

SMS-group TI-group

Phone number found

Contacted participants

Contact established

Aborted contacts

Drop-outs

2150 (100%)2400 (100%)Original sample

1009 (47%)Participants 154 (6%)

7 (<1%)

176 (8%)

Aborted contacts

Drop-outs

187 (8%)

Declined contact

183 (9%)

Declined contact

1192 (55%) landline

444 (21%) mobile

April 12, 2023Christin Bexelius 18

Text messaging vs. Telephone Interview

Age group Level of education