Literature DB >> 25692939

Developing a non-categorical measure of child health using administrative data.

Rubab G Arim1, Dafna E Kohen1, Jamie C Brehaut2, Anne Guèvremont1, Rochelle E Garner1, Anton R Miller3, Kimberlyn McGrail3, Marni Brownell4, Lucy M Lach5, Peter L Rosenbaum6.   

Abstract

BACKGROUND: Few studies have examined the potential of linked administrative data for research on child health. This analysis describes the application of a non-categorical survey-based tool, the Children with Special Health Care Needs (CSHCN) Screener, to administrative data. DATA AND METHODS: Five Screener items were applied to linked administrative health data from Population Data British Columbia. Hospital admissions and demographic and community characteristics for a cohort of children aged 6 to 10 in 2006 were examined to validate the use of these items.
RESULTS: Overall, 17.5% of children were identified as CSHCN. An estimated 14% of children used more medical care and 5.2% had more functional limitations than is usual for children of the same age; 3.3% were prescribed long-term medication; 1.9% needed/received treatment or counselling; and 0.1% needed/received special therapy. Boys were more likely than girls to be identified as CSHCN.
INTERPRETATION: With some limitations, the CSHCN Screener can be applied to Canadian administrative health data.

Entities:  

Keywords:  Child health services; children with disabilities; data linkage; medical record linkage

Mesh:

Year:  2015        PMID: 25692939

Source DB:  PubMed          Journal:  Health Rep        ISSN: 0840-6529            Impact factor:   4.796


  2 in total

1.  Using the ages and stages questionnaire in the general population as a measure for identifying children not at risk of a neurodevelopmental disorder.

Authors:  Ramesh Lamsal; Daniel J Dutton; Jennifer D Zwicker
Journal:  BMC Pediatr       Date:  2018-04-03       Impact factor: 2.125

2.  Using Canadian administrative health data to examine the health of caregivers of children with and without health problems: A demonstration of feasibility.

Authors:  Jamie C Brehaut; Anne Guèvremont; Rubab G Arim; Rochelle E Garner; Anton R Miller; Kimberlyn M McGrail; Marni Brownell; Lucyna M Lach; Peter L Rosenbaum; Dafna E Kohen
Journal:  Int J Popul Data Sci       Date:  2019-04-02
  2 in total

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