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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 ...

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

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

  • 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
  • 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
  • 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
    • Development of the housing stock:
      • Who are the populations?
      • Offer of health and social services
      • Configuration of the offer
    Parameters: Requesters’ Concern
    • 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
    • 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
    • Easy access to data
      • Fine data
    • Temporality (updated data)
    • Simple processing; accessible software
    • Ethics
    Researchers’ Concern
    • Process rooted to identify concerns
      • Meetings of key players and potential users
      • Identification of variables and areas of concern
    Parameters: Process
  • 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
  • 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
  • Approaches
    • Mixed process:
      • Qualitative data
        • Interviews in six representative low-rent housing projects on the territory with photo support
      • Statistical data
  • Statistical Approach Interpretation and decision Analysis and observations Development of corpus
  • Statistical Approach: Development of Statistical Data Corpus
    • Based on parameters
      • Existing databases
      • Interest raised by the Pampalon and Raymond atlas
  •  
  • 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
    • Based on parameters
      • Micro-territorial data
      • Fine data
    Statistical Approach: Development of Statistical Data Corpus
  • Statistical Approach
    • Statistics Canada
    • OMHQ management data
    • Front-line services management data – CIS
    Interpretation and decision Analysis and observations Development of corpus
  • 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
  • Statistical Approach Research team
    • CSSS data services
    • INSPQ
    • Statistics Canada – census data – dissemination area
    Interpretation and decision Analysis and observations Development of corpus
  • Statistical Approach
    • Two software programs – analysis:
    • GIS processing: MapInfo
    • Statistical processing:
      • Cross-tabulation function – Excel
  • 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
  • Geographic Information System (GIS) Integrating a database - Open MapInfo with gad_024a06m_f.tab and CanMep. The postal codes and dissemination areas will appear.
  • 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
  • Geographic Information System (GIS)
    • Thematic analysis
    • Three steps
    • Choice of icons Selection of variable Quantitative
    • that illustrate our data to be displayed graduation
  • 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
  • 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
  • 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
  • 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
  • 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?
  • Perspectives
    • Ethical issues
    • Interpretation and understanding – knowledge of territory required