Appendix B: Evaluation of the surveillance function at the Public Health Agency of Canada – Description of the conceptual model components

Appendix B. Description of the components of the conceptual model

Component Description of activities Outputs
Authorizing environment
  • Develop legislation and regulatory authorities that form the legal basis for the collection, analysis, interpretation, publication and distribution of evidence
  • Develop and maintain data-sharing agreements
  • Develop mechanisms to protect data privacy and security
  • Legislation, regulations and policies
  • Data-sharing agreements
  • Privacy impact assessments, information sharing agreements, policies, guidelines and forms and regulatory instruments
  • Information technology security mechanisms
  • Develop structures and activities related to the decision-making process for the surveillance function across the Public Health Agency
  • Create and disseminate agreed-upon reporting (e.g. information and reporting forms, templates, etc.)
  • Develop internal policies, guidelines and standards for data quality, data management and assessments
  • Set priorities
  • Internal governance structure, processes and activities related to decision making
  • Tools and templates for reporting
  • Internal guidelines, standards, frameworks, policies and processes (data standards, data quality framework, Policy for the Collection, Use and Disclosure of Information Relating to Public, etc.)
  • Mechanisms for priority setting
Monitoring and evaluation
  • Develop and implement a performance framework
  • Evaluate surveillance systems
  • Performance measurement data
  • Evaluations
Operational capacity – core and enhanced elements
  • Establish minimum core and enhanced data sets, case definitions and data standards
  • Manage data, including data storage and access, data acquisition and collection and data verification and validation
  • Collect, verify and validate data
  • Integrate, analyze and interpret data
  • Report, disclose and disseminate evidence
  • Confirm, verify and identify diseases (laboratory)
  • Data sets, case definitions and data standards
  • Data management framework for managing, accessing data and analytical tools
  • Up-to-date, accurate and appropriate data
  • Reports, etc
  • Verified and validated data
  • Laboratory surveillance
Enablers of operational capacity
  • Provide information management and information technology support
  • Provide operational services
  • Develop competencies through training and professional development
  • Business requirements
  • Systems development
  • Hardware and platform maintenance and support
  • Training and professional development
Stakeholder engagement and collaboration
  • Collaborate and coordinate with internal and external stakeholders
  • Engage and consult with internal and external stakeholders in developing, implementing and maintaining surveillance activities and systems
  • Collaboration, coordination and leadership in managing and coordinating shared responsibilities for surveillance
  • Negotiations for data requirements with data providers
  • Partnerships
  • Engagement and consultations
  • Consensus
  • Priorities on information and surveillance needs

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