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Xinjie Cui BMed PhD MBA
Chief Analytics Officer
Building a Child Data Center with Linked Population Data
to Inform Policy
CYDL Link Analyze Inform 2
The Need and The Opportunity
Complex social, health, and education policies REQURE• More • Relevant • Timely Evidence for decision
Advancement of information technology ENABLES• More and better data collection and store (digital storage) • More, better, new methodologies for data discovery
CYDL Link Analyze Inform 3
Secondary Data and Secondary Analysis
Secondary analysis – utilization of existing data
Secondary data • Administrative data – collected to conduct business• Service delivery data – collected to provide services• Research data – collected to answer research questions
Benefits• Potentially faster • Relatively low cost
CYDL Link Analyze Inform 4
Usefulness of Secondary Data
• Monitor/track health and wellbeing of the population (identify trends and issues)
• Discover patterns and relationships of risk/resilient factors and outcomes
• Support development of strategies and policies • Evaluate effectiveness of policies, programs,
and services• Inform performance measurement and result
based budgeting
CYDL Link Analyze Inform 5
Child Data Centre of Alberta
A data and research facility –Wide variety of data holdings with
potential for linkage–Value added services–Broad access by qualified policy
analysts and researchers
CYDL Link Analyze Inform 6
Vision
Improved outcomes for children and family by informing social and health policy, practice, and service planning
Through New knowledge generation Timely and relevant evidence for policy and practiceCapacity building
CYDL Link Analyze Inform 7
ACCFCR Board
ACCFCR
Child Population
Data Repository
Child Research Data
Repository
Child Data Centre of Alberta
Community Service
Agency DataRepository
Children First Act
CYDL Link Analyze Inform 8
Government Administrative DataPros:• Populations based (all Albertans)• Longitudinal• Linked data may address system-wide and policy relevant
questions well and provides opportunity to study broad determinants of health
Cons:• Lack details on some measures such as behavioral risk
factors, physical measurements etc.• Inconsistent measures; recording and coding errors• Subject to misinterpretation if not familiar with data
collection and manipulation process
CYDL Link Analyze Inform 9
Service Delivery DataFrom community agencies and service organizations
Pros• Detailed in depth data• Intervention and services focused• May contain risk factors and qualitative measures
Cons• Inconsistency across agencies/clinics
– standards, capacity, systems, services…
• Large number of organization of different kinds
CYDL Link Analyze Inform 10
Research Data• Public funded research data exist in isolation• Often times, when research project is done,
data gets destroyed or shelved – seldom gets reused or further analyzed
Modern Research
• Collaborative, multi-disciplinary, and answer complex questions
• Data are large in volume and digitized• Great value for repurpose and reuse
CYDL Link Analyze Inform 11
Research Data Sharing• Trend around the world: – Funding Agencies: NIH USA, MRC UK,
Tri-council Canada– Open access content: PLOS
• Lack of centralized place for storage, management and further utilization
• Especially lack of support around secondary use
CYDL Link Analyze Inform 12
Child Data Centre of Alberta• Securely stored, cleaned, catalogued,
enhanced, managed, and potentially linkable. (where and when it is possible and appropriate).
• Access and use of data facilitated, managed and supported – value add
• Information privacy protected
CYDL Link Analyze Inform 13
ACCFCR Board
ACCFCR
Child Population
Data Repository
Child Research Data
Repository
Child Data Centre of Alberta
Community Service
Agency DataRepository
Children First Act
CYDL Link Analyze Inform 14
Child and Youth Data Lab
As the Administrative Data component of CDCA
• Links and analyzes government administrative data – cross-sector
• For policy relevant research • With a focus on children, youth and families
in Alberta
CYDL Link Analyze Inform 15
Partnering Ministries
• Human Services (Lead ministry)• Health (HUB for data matching)• Education • Innovation and Advanced Education• Justice and Solicitor General• Aboriginal Relations
CYDL Link Analyze Inform 16
CYDL Research Process• Partnership – working closely together • Process
– Identification of research priorities – Project development/Study design – Identification of data elements – Feasibility assessment (data and privacy)– Research Ethics approval– Data sharing agreements and Privacy Impact Assessment – Data linkage and transfer – Data validation, analysis, and interpretation – Report generation and dissemination/knowledge mobilization
• Involvement of ministries throughout the process
CYDL Link Analyze Inform 17
Characteristics of CYDL• Authentic Partnership – Ministries involvement throughout the full
research cycle
• Anonymous Linkage – Data hashed at source
• Policy Relevant – Research questions are policy driven
• Project Based Model– No population repository yet
CYDL Link Analyze Inform 18
Experience of Albertan Youth over Time • Longitudinal design• Six years of data 2005/06 to 2010/11
• Broad scope: • 5 ministries• 25 databases covering more program and service
areas • Over 250 variables
• Key indicators: • Demographic• Socio-economic status• Mental health status• Educational achievement • Health service use
CYDL Link Analyze Inform 19
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
All programs
Health
Child intervention
Child support services
FSCD
Child health benefits
Child care subsidy
Education
Corrections
Offence charges
Advanced Education
Income support learners
Income support
AISH
Adult health benefits
PDD
Advancing Futures bursary
Age (years)
CYDL Longitudinal Project Sample Indicators
Young adulthood
Childhood
Youth
Early childhood
Court outcomes
Type of charge, charge history
Program and institution details
Household type, enrollment details
Client type, household type
Disability type, household indicators
Type of benefits
Type and amount of support
Enrollment and support details
Perinatal indicators, diagnoses, mental health status
Type of abuse/neglect, type of services provided, history
Type of order, reason for file closure
Type of disability, duration of services, reason for file closure
Type of benefit received, age at first use
Type of program, reason for care, duration
Achievement, school indicators, special programs, high school completion
Gender, age, socio-economic status, region of residence/service, Aboriginal status (if available)
CYDL Link Analyze Inform 20
Types of AnalysisTime trendsPolicy impact over timeService use patter over timeSpecific topics such as
• Youth transition • Resiliency• Early childhood
development• Poverty
• Persistent offenders• FASD• Aboriginal youth• Special education• Self-harm
CYDL Link Analyze Inform 21
Research Data Repository
• Stakeholders consultation• Best practice - technical, management,
ethical, metadata, and data governance • Principal Investigators of two cohort studies
on board and other datasets• Design of processes and structure
CYDL Link Analyze Inform 22
Research Data Repository
• Set up governance structure • Build technical infrastructure – enclave • Transfer initial datasets • Develop metadata • Pilot early adopter projects• Support access and use
CYDL Link Analyze Inform 23
Research Data Repository• Develop communication/marketing plan to
promote CDCA • Identify potential research datasets for
repository• Provide training opportunities for students
and trainees• Identify opportunities to develop Service
Delivery Data component • Explore feasibility of integration with CYDL
component
CYDL Link Analyze Inform 24
Issues for Consideration
Research Ethics • Consent, Re-consent, Agreements
Information Privacy and Confidentiality • Right to privacy and confidentiality as public good
Data Security • Technology (increased risk but also new tools to
protect)• Data linkage (increased risk for re-identifiability)
Original Researchers’ Involvement• Researchers’ input, flexibility
CYDL Link Analyze Inform 25
Success Factors• Independent
• Outside of government• Outside of universities
• Authentic Partnership• Engagement of research community• Political and Executive support• Enabling data sharing legislation• Sponsors and Champions at multiple levels• Strong Governance and Accountability structure
and process• Sustainable funding and Designated resources• Strong project management and coordination• Dedicated staff and technical/research expertise• Persistence and patience