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Arrimage de données sociodémographiques et de santé pour un portrait micro‐territorial de populations
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Arrimage de données sociodémographiques et de santé pour un portrait micro‐territorial de populations

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Ce projet, réalisé pour le compte de la Société d’habitation du Québec (SHQ), a permis d’établir les liens entre les diverses sources de données afin de produire un profil statistique des résidents …

Ce projet, réalisé pour le compte de la Société d’habitation du Québec (SHQ), a permis d’établir les liens entre les diverses sources de données afin de produire un profil statistique des résidents des logements sociaux de la Ville de Québec.


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  • Données sur des individus et non des échantillons
  • Résultats selon les codes postaux et les aires de diffusion
  • Intégration de données multiples
  • Transcript

    • 1. Linkage of Socio-demographic and Health Data for a Micro-territorial Picture of the Low-Rent Housing Population: Parameters, Approaches and Perspectives Lucie Gélineau, Ph.D. Pierre Gromaire, M.A. Nathalie Gauthier, Ph.D. Jean Damasse, Mathieu Carrier, Nasim Naghavi, Agathe Brisson
    • 2. Communication Objectives
      • Explore the recommended approach to bring together socio-demographic and health data
        • Parameters
          • Explore the rationales for the methodological choices made
        • Approaches
          • Present the approaches retained
          • Decide on the nature and development of the data corpus
          • Present the Geographic Information System (GIS) tool
        • Perspectives
          • Identify contributions, issues and perspectives in the use of GIS tools
    • 3. Parameters: Source of Request
      • Joint request from:
        • Office municipal d’habitation de Québec (OMHQ) [Québec Municipal Housing Bureau]
        • Agence de santé et de services sociaux de la Capitale-Nationale [Capitale-Nationale Health and Social Services Agency]
        • With the support of:
          • Société d’habitation du Québec
          • Ministère de la Santé et des Services sociaux (MSSS) du Québec
    • 4.
      • Development of the housing stock:
        • Who are the populations?
        • Offer of health and social services
        • Configuration of the offer
      Parameters: Requesters’ Concern
    • 5.
      • Transfer to other municipal housing bureaus
        • Simple process
        • Facilitated access to data
      • Easy manipulation by workers and managers
      • Relevance for the sector of dimensions retained
      Parameters: Other Concerns
    • 6.
      • PRISM team – Proximity and Research on Interventions, Services and their Modalities –
        • Centre affilié universitaire du Centre de santé et de services sociaux (CSSS) de la Vieille-Capitale
      • Interest: proximity, health and social services, poverty and social exclusion
      • Participatory research
      Parameters: Mission
    • 7.
      • Easy access to data
        • Fine data
      • Temporality (updated data)
      • Simple processing; accessible software
      • Ethics
      Researchers’ Concern
    • 8.
      • Process rooted to identify concerns
        • Meetings of key players and potential users
        • Identification of variables and areas of concern
      Parameters: Process
    • 9. Examples of Dimensions Retained Material Deprivation Index
      • Low schooling level (proportion of people with no high school diploma)
      Material Deprivation Index
      • Non-occupation level (employment-to-population ratio)
      Material Deprivation Index
      • Low-income level (individual average income)
      OMHQ file
      • Total monthly household income
      Socio-economic level
    • 10. Examples of Dimensions Retained CIS database
      • Level of loss of independence (indicator of the vulnerability of these client groups):
      • based on the placement rate:
      • placement of an adult (18-64 years)
      • placement of a senior (65 years or older)
      • temporary placement for respite
      • of a person with a physical disability
      CIS database
      • Based on the service received:
      • service related to a physical disability ;
      • loss of independence related to aging;
      • mental health service to people presenting mental disorders
        • (including obsessive disorders such as Diogenes syndrome)
      • early and late childhood and adolescent disorders
      Health characteristics
    • 11. Approaches
      • Mixed process:
        • Qualitative data
          • Interviews in six representative low-rent housing projects on the territory with photo support
        • Statistical data
    • 12. Statistical Approach Interpretation and decision Analysis and observations Development of corpus
    • 13. Statistical Approach: Development of Statistical Data Corpus
      • Based on parameters
        • Existing databases
        • Interest raised by the Pampalon and Raymond atlas
    • 14.  
    • 15. Map 2: Central districts of Québec – application of the deprivation index with the population of the CSSS de la Vieille-Capitale territory as the reference population, in 2006 Source: MSSS, 2001
    • 16.
      • Based on parameters
        • Micro-territorial data
        • Fine data
      Statistical Approach: Development of Statistical Data Corpus
    • 17. Statistical Approach
      • Statistics Canada
      • OMHQ management data
      • Front-line services management data – CIS
      Interpretation and decision Analysis and observations Development of corpus
    • 18. Approaches: Development of Statistical Data Corpus
      • Existing databases
        • Data retrieval
          • Dissemination areas / postal codes / addresses
        • Processing performed at our request by the data management service of the CSSS / Institut national de santé publique du Québec ( INSPQ) [Quebec public health institute] (Pampalon and Raymond index) / University library
    • 19. Statistical Approach Research team
      • CSSS data services
      • INSPQ
      • Statistics Canada – census data – dissemination area
      Interpretation and decision Analysis and observations Development of corpus
    • 20. Statistical Approach
      • Two software programs – analysis:
      • GIS processing: MapInfo
      • Statistical processing:
        • Cross-tabulation function – Excel
    • 21. Geographic Information System (GIS)
      • Mapping as a tool following the exploratory phase
      • Three phases make up the research using a GIS tool: the three players (Joliveau, 1996)
        • Phase 1: the researchers, data collection methodology
        • Phase 2: the GIS technician, data processing and analysis
        • Phase 3: the manager, results interpretation
      • MapInfo software and practical process
        • Dissemination area and postal code as territorial referents (“gad_024a06m_f.tab” file and CanMep)
        • Excel and its integration
    • 22. Geographic Information System (GIS) Integrating a database - Open MapInfo with gad_024a06m_f.tab and CanMep. The postal codes and dissemination areas will appear.
    • 23. Geographic Information System (GIS)
      • Creation of a database and thematic data analysis with MapInfo
      • File Joining the data Map Thematic
      • with the dissemination analysis
      • Open CanMep, area and postal
      • Excel database and code files
      • gad_024a06m_f.tab
    • 24. Geographic Information System (GIS)
      • Thematic analysis
      • Three steps
      • Choice of icons Selection of variable Quantitative
      • that illustrate our data to be displayed graduation
    • 25. Geographic Information System (GIS) Example Distribution of follow-ups for the adult mental health (AMH) program on the territory of the CLSCs [local community service centres] of the city of Québec, for the population living in low-rent housing, in 2006 Number of follow-ups for the AMH program 5 - 48 4 - 5 3 - 4 2 - 3 0 - 2 Water Road network CLSC
    • 26. Geographic Information System (GIS) Example Number of interventions, all programs combined on the Québec territory 1,300 650 130 Road network Material Deprivation Index by DA 3 Water CLSC 2 1
    • 27. Statistical Approach Workers and managers Research team
      • CSSS data services
      • INSPQ
      • Statistics Canada – census data – dissemination area
      Interpretation and decision Analysis and observations Development of corpus
    • 28. Perspectives GIS: Advantages and Limitations
      • Advantages
        • Mapping of phenomena on territories
        • Improvement in management of services
        • “ Figures don’t tell the whole story” – another viewpoint
    • 29. Perspectives GIS: Advantages and Limitations
      • Limitations
        • Thematic analyses segment reality: not all populations are concerned, not all data can be superimposed; the data are not collated
        • Absence of involvement of GIS specialists in Phase 1
        • Lack of training and material
        • Not everyone uses the same software, the same data, the same language. Quid of the interoperability of results?
    • 30. Perspectives
      • Ethical issues
      • Interpretation and understanding – knowledge of territory required

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