Literature DB >> 15789958

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

S Saigal1, P Rosenbaum, B Stoskopf, L Hoult, W Furlong, D Feeny, R Hagan.   

Abstract

BACKGROUND: Few comprehensive systems are available for assessing and reporting the overall health of preschool children.
OBJECTIVES: (i) To develop a multi-dimension health status classification system (HSCS) to describe pre-school (PS) children 2.5-5 years of age; (ii) to report reliability and validity of the newly developed measure.
DESIGN: Existing systems (Health Utilities Index, Mark 2 and 3) were adapted for application to a pre-school population. The new system was tested for acceptability, validity and reliability. PARTICIPANTS: Three cohorts of children and their parents from Canada and Australia were utilized: Cohort 1 (MAC)-101 3-years old very low birthweight (VLBW, <1500 g) and 50 same age term children from Canada; Cohort 2 (AUS)-150 VLBW 3-years old from Australia; Cohort 3 (OMG)-222 3-years old with cerebral palsy (CP) from Ontario.
METHODS: Parental intra-rater reliability was evaluated by completion of the HSCS-PS Parent questionnaire (MAC) at the clinic visit and again 14 days later. Health professionals (MAC) completed the HSCS-PS Clinician questionnaire. Percent agreement and Kappa values were used to assess parent-clinician agreement. Concurrent validity was tested in two populations of VLBW children (MAC and AUS) and a reference group of term children (MAC) by exploring the relationships between dimensions of the HSCS-PS and well-recognized norm-referenced measures: the Bayley Scales of Infant Development (BSID-II), the Vineland Adaptive Behavior Scales (VABS) and the Stanford-Binet (SB). Construct validity was tested by comparing ratings on both the HSCS-PS and the Gross Motor Function classification system (GMFCS) using a population of pre-school children with CP. Analyses were done using chi2, ANOVA and correlations with tau-b statistic.
RESULTS: The HSCS-PS has 12 dimensions and 3-5 levels per dimension. Response rate for parental intra-rater reliability was 95%, with percent agreement ranging between 86 and 100%. Kappa values for various dimensions ranged from 0.38 to 1.00. Inter-rater reliability between parents and clinicians showed agreement ranging from 72 to 100%. Kappa values ranged from 0.30 to 1.00. CONCURRENT VALIDITY: There was a statistically significant gradient between HSCS-PS Mobility levels and motor scale scores of the BSID-II and VABS. A significant gradient also occurred when comparing HSCS-PS cognition levels to psychometric scores on the BSID-II and SB, as well as HSCS-PS self-care levels compared to VABS Daily Living scores. DISCRIMINATIVE AND CONSTRUCT VALIDITY: Birthweight category was shown to be a significant determinant of proportion of children with multiple HSCS-PS dimensions affected. In addition, HSCS-PS dimension levels were congruent with GMFCS levels where expected: mobility had excellent correlation; self-care, dexterity, speech and cognitive dimensions had moderate correlations.
CONCLUSIONS: The HSCS-PS is readily accepted, quick to complete, widely applicable and provides a multi-dimensional description of health status. Preliminary assessments of reliability and validity are promising. The HSCS-PS can discriminate across populations by birthweight and shows strong relationships with standardized psychometric measures in comparable domains. It can pro- vide a summary profile of functional limitations in various populations of pre-school children in a consistent manner across programs and in different settings.

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Year:  2005        PMID: 15789958     DOI: 10.1007/s11136-004-4228-7

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  37 in total

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Authors:  B Zhang; B Schmidt
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Review 2.  Multi-attribute preference functions. Health Utilities Index.

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

3.  Self-perceived health status and health-related quality of life of extremely low-birth-weight infants at adolescence.

Authors:  S Saigal; D Feeny; P Rosenbaum; W Furlong; E Burrows; B Stoskopf
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4.  Assessing health-related quality of life in chronically ill children with the German KINDL: first psychometric and content analytical results.

Authors:  U Ravens-Sieberer; M Bullinger
Journal:  Qual Life Res       Date:  1998-07       Impact factor: 4.147

Review 5.  Measuring quality of life.

Authors:  M E Jenney; S Campbell
Journal:  Arch Dis Child       Date:  1997-10       Impact factor: 3.791

6.  Development and reliability of a system to classify gross motor function in children with cerebral palsy.

Authors:  R Palisano; P Rosenbaum; S Walter; D Russell; E Wood; B Galuppi
Journal:  Dev Med Child Neurol       Date:  1997-04       Impact factor: 5.449

7.  Economic evaluation of neonatal intensive care of very-low-birth-weight infants.

Authors:  M H Boyle; G W Torrance; J C Sinclair; S P Horwood
Journal:  N Engl J Med       Date:  1983-06-02       Impact factor: 91.245

8.  Prognosis for gross motor function in cerebral palsy: creation of motor development curves.

Authors:  Peter L Rosenbaum; Stephen D Walter; Steven E Hanna; Robert J Palisano; Dianne J Russell; Parminder Raina; Ellen Wood; Doreen J Bartlett; Barbara E Galuppi
Journal:  JAMA       Date:  2002-09-18       Impact factor: 56.272

9.  Vineland Adaptive Behavior Scales as a summary of functional outcome of extremely low-birthweight children.

Authors:  P Rosenbaum; S Saigal; P Szatmari; L Hoult
Journal:  Dev Med Child Neurol       Date:  1995-07       Impact factor: 5.449

10.  The comprehensive assessment of health status in survivors of childhood cancer: application to high-risk acute lymphoblastic leukaemia.

Authors:  D Feeny; A Leiper; R D Barr; W Furlong; G W Torrance; P Rosenbaum; S Weitzman
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Authors:  Hongbing Wang; Michikazu Sekine; Xiaoli Chen; Takashi Yamagami; Sadanobu Kagamimori
Journal:  Qual Life Res       Date:  2007-12-22       Impact factor: 4.147

2.  Current status of neonatal follow-up in Canada.

Authors:  Anne R Synnes; Francine Lefebvre; Heather A Cake
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3.  Letter to the Editor: Concerning Paltzer, Jason, Emily Barker, and Whitney P. Witt: Measuring the health-related quality of life (HRQoL) of young children in resource-limited settings: a review of existing measures, Quality of Life Research: Vol. 22, No. 6, August, 2013, pp 1177-1187.

Authors:  Ronald D Barr; David Feeny; William Furlong; John Horsman
Journal:  Qual Life Res       Date:  2013-10-17       Impact factor: 4.147

4.  Parents' perception of the quality of life of preschool children at risk or having developmental disabilities.

Authors:  Ka-Ming Lau; Susanna M K Chow; Sing Kai Lo
Journal:  Qual Life Res       Date:  2006-09-18       Impact factor: 4.147

5.  The Generation R study: a candidate gene study and genome-wide association study (GWAS) on health-related quality of life (HRQOL) of mothers and young children.

Authors:  Hein Raat; Lenie van Rossem; Vincent W V Jaddoe; Jeanne M Landgraf; David Feeny; Henriëtte A Moll; Albert Hofman; Johan P Mackenbach
Journal:  Qual Life Res       Date:  2010-10-28       Impact factor: 4.147

6.  Parent-reported health outcomes in infants/toddlers: measurement properties and clinical validity of the ITQOL-SF47.

Authors:  Jeanne M Landgraf; Ineke Vogel; Rianne Oostenbrink; Margriet E van Baar; Hein Raat
Journal:  Qual Life Res       Date:  2012-04-17       Impact factor: 4.147

Review 7.  A Review of the Development and Application of Generic Multi-Attribute Utility Instruments for Paediatric Populations.

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8.  PedsQL relates to function and behavior in very low and normal birth weight 2- and 3-year-olds from a regional cohort.

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Authors:  Hein Raat; Jeanne M Landgraf; Rianne Oostenbrink; Henriëtte A Moll; Marie-Louise Essink-Bot
Journal:  Qual Life Res       Date:  2006-11-17       Impact factor: 4.147

10.  Long-term neurodevelopmental outcome of monochorionic and matched dichorionic twins.

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Journal:  PLoS One       Date:  2009-08-28       Impact factor: 3.240

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