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

作者信息

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

机构信息

Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada.

出版信息

J Pediatr. 1994 Sep;125(3):411-7. doi: 10.1016/s0022-3476(05)83288-3.

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.

摘要

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