Literature DB >> 8071751

Comprehensive assessment of the health status of extremely low birth weight children at eight years of age: comparison with a reference group.

S Saigal1, P Rosenbaum, B Stoskopf, L Hoult, W Furlong, D Feeny, E Burrows, G Torrance.   

Abstract

OBJECTIVE: To apply a multiattribute health status (MAHS) classification system to data available on two cohorts of school-aged children to describe several dimensions of health simultaneously. The MAHS system describes both the type and severity of functional limitations according to seven attributes: sensation, mobility, emotion, cognition, self-care, pain, and fertility (fertility not applicable in this study), with four or five levels of function within each attribute.
DESIGN: The MAHS system was applied retrospectively to clinical and psychometric data collected prospectively at age 8 years. MAHS application was by selection of items from the database and development of computer-assisted algorithms to assign functional levels within each attribute.
SETTING: Geographically defined region in central-west Ontario, Canada. PARTICIPANTS: One hundred fifty-six extremely low birth weight (ELBW) survivors born between 1977 and 1982 (follow-up rate 90%) and 145 reference children matched for age, sex, and socioeconomic status.
RESULTS: 14% of ELBW subjects had no functional limitations, 58% had reduced function for one or two attributes, and 28% had at least three affected. The corresponding figures for the reference group were 50%, 48%, and 2% (p < 0.0001). The limitations were more severe and complex in the ELBW group, and were notably in cognition (58%), sensation (48%), mobility (21%), and self-care (17%), compared with 28%, 11%, 1%, and 0% for reference children (all p < 0.0001).
CONCLUSIONS: These data indicate that fewer ELBW than reference children were free of functional limitations and a significantly higher proportion had multiple attributes affected. The MAHS classification approach is a useful instrument to compare the health status of different groups and populations, and to monitor changes with time.

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Mesh:

Year:  1994        PMID: 8071751     DOI: 10.1016/s0022-3476(05)83288-3

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  23 in total

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Review 3.  Multi-attribute health status classification systems. Health Utilities Index.

Authors:  D Feeny; W Furlong; M Boyle; G W Torrance
Journal:  Pharmacoeconomics       Date:  1995-06       Impact factor: 4.981

Review 4.  Multi-attribute preference functions. Health Utilities Index.

Authors:  G W Torrance; W Furlong; D Feeny; M Boyle
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5.  Quality of life and congenital heart defects: comparing parent and professional values.

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6.  Does intensive perinatal care improve the outcome of extreme prematurity? Addressing the methodologic issues.

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7.  Linking health-related quality-of-life indicators to large national data sets.

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8.  Development, reliability and validity of a new measure of overall health for pre-school children.

Authors:  S Saigal; P Rosenbaum; B Stoskopf; L Hoult; W Furlong; D Feeny; R Hagan
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9.  Improving benchmarking by using an explicit framework for the development of composite indicators: an example using pediatric quality of care.

Authors:  Jochen Profit; Katri V Typpo; Sylvia J Hysong; LeChauncy D Woodard; Michael A Kallen; Laura A Petersen
Journal:  Implement Sci       Date:  2010-02-09       Impact factor: 7.327

10.  Measuring health-related quality of life in children: the development of the TACQOL parent form.

Authors:  T Vogels; G H Verrips; S P Verloove-Vanhorick; M Fekkes; R P Kamphuis; H M Koopman; N C Theunissen; J M Wit
Journal:  Qual Life Res       Date:  1998-07       Impact factor: 4.147

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