Healthcare utilisation and unmet health needs in children with intellectual disability: a propensity score matching approach using longitudinal cohort data Article Swipe
Emma Nicholson
,
Edel Doherty
,
Suzanne Guérin
,
James B. Schreiber
,
Michael Barrett
,
Éilish McAuliffe
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/jir.12927
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/jir.12927
Background Health disparities for children with intellectual disabilities can be challenging to measure due to many other factors that can impact health and healthcare use. The aim of the current study was to use longitudinal cohort data to compare children with intellectual disability (ID) in Ireland between 2006 and 2014 on healthcare utilisation and unmet need, at ages 9 and 13, using a propensity score matching (PSM) approach. Methods Using data from the Growing up in Ireland study, PSM was used to identify an appropriate control sample to compare with a sample of children with ID ( n = 124). Participants were matched on variables that are known to influence healthcare utilisation to reduce the impact of confounding variables between groups so that differences between the groups can be estimated. Logistic regression was used to estimate effects at ages 9 and 13. Results Children with ID were no more likely to have visited a general practitioner or emergency department in the past 12 months than children without ID. They did have a greater likelihood of visiting a doctor in a hospital in the past 12 months and of having an overnight stay in hospital by age 9. Primary caregivers of children with ID were more likely to report unmet health needs at ages 9 and 13. Conclusions This approach is a novel means of comparing healthcare use in this population by balancing the impact of other factors that may result in inequities, to which children with ID may be more vulnerable.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/jir.12927
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jir.12927
- OA Status
- hybrid
- Cited By
- 17
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4221090452
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4221090452Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/jir.12927Digital Object Identifier
- Title
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Healthcare utilisation and unmet health needs in children with intellectual disability: a propensity score matching approach using longitudinal cohort dataWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-03-14Full publication date if available
- Authors
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Emma Nicholson, Edel Doherty, Suzanne Guérin, James B. Schreiber, Michael Barrett, Éilish McAuliffeList of authors in order
- Landing page
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https://doi.org/10.1111/jir.12927Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jir.12927Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jir.12927Direct OA link when available
- Concepts
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Propensity score matching, Medicine, Intellectual disability, Health care, Logistic regression, Cohort, Longitudinal study, Confounding, Cohort study, Matching (statistics), Population, Gerontology, Environmental health, Psychiatry, Economics, Internal medicine, Pathology, Economic growthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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17Total citation count in OpenAlex
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2025: 4, 2024: 6, 2023: 5, 2022: 1Per-year citation counts (last 5 years)
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45Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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