Methods used to construct disability indicators in linked administrative datasets: a systematic scoping review

We found a paucity of evidence on methods for identifying a target population of people with diverse disabilities. In the existing literature, diagnostic information is relied upon heavily for disability identification, likely due to a lack of other types of disability-relevant information in administrative data sources. Use of derived disability indicators within linked data holds potential to advance research regarding people with disability. It is crucial, however, to conduct and report validation testing to understand the strengths and limitations of the indicators and inform their use for specific purposes.

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Publication Details

Journal
Population Health Metrics
Published
2025-06-06
DOI
https://doi.org/10.1186/s12963-025-00386-w
Citations
3
Primary Topic
Down syndrome and intellectual disability research
Type
article
Field-Weighted Citation Impact
5.64
Controls
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article

Methods used to construct disability indicators in linked administrative datasets: a systematic scoping review

S.H. Walmsley, Nicola Fortune, Glenda M. Bishop, Zoe Aitken et al.
3 citations
Population Health Metrics
Down syndrome and intellectual disability research
5.64
article

Methods used to construct disability indicators in linked administrative datasets: a systematic scoping review

S.H. Walmsley, Nicola Fortune, Glenda M. Bishop, Zoe Aitken, Samia Badji
article en
3 citations

Abstract

We found a paucity of evidence on methods for identifying a target population of people with diverse disabilities. In the existing literature, diagnostic information is relied upon heavily for disability identification, likely due to a lack of other types of disability-relevant information in administrative data sources. Use of derived disability indicators within linked data holds potential to advance research regarding people with disability. It is crucial, however, to conduct and report validation testing to understand the strengths and limitations of the indicators and inform their use for specific purposes.

Population Health MetricsVol. 23(1)
The University of Sydney (AU), The University of Melbourne (AU), Monash Health (AU), Melbourne Health (AU), Monash University (AU)
Openalex Percentile: Top 4%
Down syndrome and intellectual disability research
5.64
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Methods used to construct disability indicators in linked administrative datasets: a systematic scoping review — S.H. Walmsley, Nicola Fortune, et al. · Population Health Metrics (2025) | TGRS Research Map | TGRS