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Sampling Frames and Study Types Studies on life events. Dr Magnolia Cardona Coordinating Epidemiologist Queensland Health Department Australia. Objectives. Identify study types for life events Propose data sources for life stages Select best approaches to investigate

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sampling frames and study types studies on life events
Sampling Frames and Study Types Studies on life events

Dr Magnolia Cardona

Coordinating Epidemiologist

Queensland Health Department

Australia

objectives
Objectives
  • Identify study types for life events
  • Propose data sources for life stages
  • Select best approaches to investigate
  • State advantages of data sources/study types
  • Highlight limitations
life events
Life events
  • Pregnancy & childbirth
  • Infancy & childhood
  • Adolescence & young adulthood
  • Adulthood
  • Mature age
  • Death
data sources pregnancy childbirth
Data Sources (pregnancy/childbirth)
  • Births register
  • Perinatal data collection
  • Hospital inpatients collection
  • Census data
data sources adolescence young adults
Data Sources (Adolescence & Young adults)
  • Employment registers
  • Department of Family Services
  • Juvenile Justice Department
  • Young People at Risk Program
  • School surveys
data sources adult women
Data Sources (Adult Women)
  • Electoral roll
  • Pap smear/Breast screening registers
  • Hospital inpatient statistics
  • Disease-specific registers
  • Women’s health clinics
  • Women’s longitudinal study
  • Workplace surveys
data sources adult men
Data Sources (Adult men)
  • Electoral roll
  • Unemployment/Social security registers
  • Occupational lists /Workplace surveys
  • Population survey (controls)
  • Inpatient data collection
  • Public call for volunteers
selection of study types
Selection of study types
  • According to research question
  • Whether there is a sampling frame
  • Topic and expected response rate
  • Time available for study
  • Financial constraints
scenarios 1
Scenarios [1]
  • Prevalence of falls in the elderly
  • Injury surveillance database/A&E Depart.
  • Doctors sentinel surveillance
  • Population survey using RDD
  • Electoral roll
  • Veteran Affairs register/Pensioner’s lists

CROSS-SECTIONAL SURVEY and DATA ANALYSIS FROM EXISTING COLLECTION

slide11

Scenarios [2]

  • Uptake of home safety regulations
  • Government watchdog body
  • Business/Trade register
  • Telephone directory (Yellow pages)
  • Mobile phone survey
  • REPEAT CROSS-SECTIONAL SURVEY
slide12

Scenarios [3]

  • Long-term outcome of treatment
  • Disease-specific register/clinic
  • Post-hospital follow-up/Re-admission
  • Support agency/Professional association
  • Sentinel Surveillance System
  • Linkage across data sets
  • LONGITUDINAL STUDY WITH CONTROL GROUP
slide13

Scenarios [4]

  • Parenting skills/attitudes
  • Baby health clinics/maternity wards
  • Hospital register/perinatal collection
  • Schools/ after school care
  • Dept of Family Services/Counselling services
  • GENERAL POPULATION SURVEY
scenarios 5
Scenarios [5]
  • Profile of body pierced people in your State
  • Body Piercing outlets
  • Street Intercept
  • D&A settings /needle exchange outlets
  • Schools
  • Population-based
  • COMBINE TARGETED PHONE / FACE TO FACE SURVEY
slide15

Scenarios [6]

  • Source of outbreak contamination
  • Affected patient list
  • Guest/passenger list
  • Menu/diet/activity recall questionnaire
  • Database of controls
  • Population-based in affected area
  • CASE-CONTROL STUDY
slide16

Scenarios [7]

  • Knowledge in teenagers
  • Schools enrolment list
  • Unemployment registers
  • Patient registers/hospitals/ doctors rooms
  • Population-based saga
  • EXPERIMENTAL STUDY WITH CONTROL GROUP (clusters)
limitations
Limitations
  • Not all databases cover all aspects to be investigated
  • Not all populations are identifiable or approachable
  • Different definitions of data items in each State/region
  • Budget & time constraints preclude rigorous studies
summary
Summary
  • Life Cycle
  • Data Sources available
  • Choice of study types
  • Limitations

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