CoChat
Sign Up
Cited by 108Health Systems, Economic Evaluations, Quality of LifeHealthcare Policy and ManagementPediatric Pain Management Techniques

The DOI matches its Crossref record; 48 of the 49 references it cites were found in a registry or an index.

Health-related quality of life as a predictor of pediatric healthcare costs: A two-year prospective cohort analysis

Open access
Seid, Michael, Varni, James W, Segall, Darron, Kurtin, Paul S·2004·Health and Quality of Life Outcomes
DOI 10.1186/1477-7525-2-48PMC PMC521194
Open this paper in CoChat — free accountOpen PDF

Abstract

Background: The objective of this study was to test the primary hypothesis that parent proxy-report of pediatric health-related quality of life (HRQL) would prospectively predict pediatric healthcare costs over a two-year period. The exploratory hypothesis tested anticipated that a relatively small group of children would account for a disproportionately large percent of healthcare costs. Methods: 317 children (157 girls) ages 2 to 18 years, members of a managed care health plan with prospective payment participated in a two-year prospective longitudinal study. At Time 1, parents reported child HRQL using the Pediatric Quality of Life Inventory™ (PedsQL™ 4.0) Generic Core Scales, and chronic health condition status. Costs, based on health plan utilization claims and encounters, were derived for 6, 12, and 24 months. Results: In multiple linear regression equations, Time 1 parent proxy-reported HRQL prospectively accounted for significant variance in healthcare costs at 6, 12, and 24 months. Adjusted regression models that included both HRQL scores and chronic health condition status accounted for 10.1%, 14.4%, and 21.2% of the variance in healthcare costs at 6, 12, and 24 months. Parent proxy-reported HRQL and chronic health condition status together defined a 'high risk' group, constituting 8.7% of the sample and accounting for 37.4%, 59.2%, and 62% of healthcare costs at 6, 12, and 24 months. The high risk group's per member per month healthcare costs were, on average, 12 times that of other enrollees' at 24 months. Conclusions: While these findings should be further tested in a larger sample, our data suggest that parent proxy-reported HRQL can be used to prospectively predict healthcare costs. When combined with chronic health condition status, parent proxy-reported HRQL can identify an at risk group of children as candidates for proactive care coordination.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/1477-7525-2-48

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 3

  1. Landgraf JM, Abetz L, J. E. Ware Jr.: Child Health Questionnaire (CHQ): A user's manual. 1 Edition Boston, The Health Institute, New England Medical Center 1996, 1: 39.
  2. Starfield B: Development of an adolescent health status measure. Washington, D.C., Agency for Health Care Policy and Research 1996., AHCPR Publication #PB96–182563:
  3. World Health Organization: Constitution of the World Health Organization basic document. Geneva, Switzerland, World Health Organization 1948.

Cited by

Sorted by citations

See all 108

Related

See all

Metadata

Authors
Seid, M., Varni, J. W., Segall, D., & Kurtin, P. S.
Affiliations
  • RAND Corporation (US)
  • Texas A&M University System (US)
Corresponding author
Seid, Michael
ORCID
Venue
Health and Quality of Life Outcomes
Publisher
Springer Science and Business Media LLC
Published
2004-09-10
Volume
2
Issue
1
Pages
48-48
ISSN
1477-7525 (ISSN-L)
DOI
10.1186/1477-7525-2-48
PMC
PMC521194
OpenAlex
W2118612528
Cited by
108
References
49
Citations by year
2026: 3 · 2025: 2 · 2024: 6 · 2023: 1 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 4 · 2018: 3 · 2017: 2 · 2016: 5 · 2015: 8 · 2014: 6 · 2013: 8 · 2012: 6
FWCI
10.33
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Health and Quality of Life Outcomes (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pediatric Pain Management Techniques
Keywords
health-related quality of life, parent proxy reporting, PedsQL 4.0, chronic disease, managed care, prospective payment, care coordination, children
MeSH terms
Adolescent, California, Child, Child Health Services, Child Welfare, Child, Preschool, Chronic Disease, Female, Health Status, Humans, Longitudinal Studies, Male, Managed Care Programs, Medicaid, Parents, Pediatrics, Psychometrics, Quality of Life, Health Care Costs, Sickness Impact Profile, Risk Assessment, Proxy, Children with Disabilities, Disabled Children

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review