Factors associated with the use of oral health care services among Canadian children and youth
Datasets available for download
Additional Info
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| Last Updated | August 6, 2024, 21:41 (UTC) |
| Created | August 6, 2024, 21:39 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Social Services |
| Description
A description of the dataset.
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Background This study investigates the association between dental insurance, income, and dental care access for Canadian children and youth aged 1 to 17 years. It contributes to a baseline understanding of oral health care use before the implementation of the Canadian Dental Care Plan (CDCP). Data and methods This study used data from the 2019 Canadian Health Survey on Children and Youth (n=47,347). Descriptive statistics and logistic regression models were employed to assess the association of dental insurance, adjusted family net income, and other sociodemographic factors on oral health care visits and cost-related avoidance of oral health care. Results A large percentage of children under the age of 5 had never visited a dentist (79.8% of 1-year-olds to 16.4% of 4-year-olds). Overall, 89.6% of Canadian children and youth aged 5 to 17 had visited a dental professional within the past 12 months: 93.1% of those who were insured and 78.5% of those who were uninsured. Insured children and youth had a 4.5% cost-related avoidance of dental care, contrasting with 23.3% for uninsured children and youth. After adjustment for sociodemographic variables,children and youth with dental insurance were nearly three times more likely (odds ratio [OR]: 2.94; 95% confidence interval [CI]: 2.60 to 3.33) to have visited a dental professional in the past 12 months than uninsured children and youth. Having dental insurance (OR: 0.19; 95% CI: 0.16 to 0.21) was protective against barriers to seeing a dental professional because of cost. There was a strong income gradient for both dental service outcomes. Interpretation The study emphasizes the significant association of dental insurance and access to oral health care for children and youth. It highlights a significant gap between insured and uninsured children and youth and points out the influence of sociodemographic and income factors on this disparity. Keywords dental access, dental care, dentist, cost barriers, dental insurance, dental coverage, CDCP |
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Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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application/vnd.dtg.local.html, .pdf - application/pdf |
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Dataset Size
Dataset size in megabytes.
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0.54 |
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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https://www150.statcan.gc.ca/n1/en/pub/82-003-x/2024004/article/00002-eng.pdf?st=dkubNc0V |
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Published Date
Published date of the dataset.
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2024-04-17 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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2019-02-01 |
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Time Period Data Span (end date)
End date of time data in the dataset.
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2019-08-01 |
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Canada |
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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Open |
| License
License used to access the dataset.
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Statistics Canada Open Licence Agreement |
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Limits on use
Limits on use of data.
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Subject to Statistics Canada Open Licence Agreement |
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Location
Location of the dataset.
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https://www150.statcan.gc.ca/n1/pub/82-003-x/2024004/article/00002-eng.htm |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Statistics Canada |
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Contact Point
Who to contact regarding access?
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infostats@statcan.gc.ca |
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Statistics Canada |
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Publisher Email
Email of the publisher.
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infostats@statcan.gc.ca |
| Author
Author of the dataset.
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Statistics Canada |
| Author Email
Email of the author.
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infostats@statcan.gc.ca |
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Accessed At
Date the data and metadata was accessed.
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2024-08-06 |
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Identifier
Unique identifier for the dataset.
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/n1/pub/82-003-x/2024004/article/00002-eng.pdf |
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Language
Language(s) of the dataset
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English |
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Link to dataset description
A URL to an external document describing the dataset.
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https://www150.statcan.gc.ca/n1/pub/82-003-x/2024004/article/00002-eng.pdf |
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Persistent Identifier
Data is identified by a persistent identifier.
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Yes |
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Yes |
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Contains data about individuals
Does the data hold data about individuals?
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No |
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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No |
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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No |
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| Version
Version of the datatset
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Last Updated Date: 2024-04-17 |
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Source
Source of the dataset.
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https://www150.statcan.gc.ca/n1/pub/82-003-x/2024004/article/00002-eng.pdf |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Provinces or territories |
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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