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Evaluating Chronic Disease for Heterogeneous Populations

The Case of Arthritis

Bibliographic Data

ID9103570
AuthorsRobert L Scharff (0000-0001-8775-1488, The Ohio State University, corresponding author), Amber Jessup
Year2007
Volume45
Issue9
Pages860-868
Publication date2007-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e3180618bac
PMID17712256
OpenAlexW2061205965
LanguageEN
References cited7

BACKGROUND: Cost-effectiveness evaluation for health care programs often involves the use of quality-adjusted life-year (QALY) estimates to measure morbidity losses from health conditions. Current techniques for measuring morbidity losses are often subjective, inflexible, impractical, and subject to bias. OBJECTIVE: We sought to examine the impact of population heterogeneity on QALY values for arthritis sufferers by estimating an alternative health-adjusted life-year (HALY) measure based on self-assessed health status. RESEARCH DESIGN: We present a feasible approach for the assessment of improved QALY estimates for chronic conditions affecting heterogeneous populations. An ordered probit model, using data from the National Health Interview Survey (NHIS), is used to calculate expected HALY losses from arthritis for distinct population subgroups. These measures are used to scale existing QALY measures that have been calculated for distinct homogeneous populations. RESULTS: : We find that QALY losses from chronic arthritis vary by age, time since onset, and type of arthritis. When we apply these results to prevention programs aimed at reducing the incidence of Salmonella enteritidis infections (and the resulting reactive arthritis sequelae), we find that age-invariant QALYs underestimate the true discounted lifetime QALY losses from arthritis by 15%. CONCLUSIONS: Our results indicate that a failure to account for population heterogeneity can lead to biased health loss estimates. The modified HALY measure presented here can be used to help inform policymakers faced with heterogeneous populations

Arthritis · Cost effectiveness · Econometrics · Economics · Environmental health · Health care · Ordered probit · Physical therapy · Population · Probit model · Quality-adjusted life year · Risk analysis (engineering) · Demography · Global Health Care Issues · Health Systems, Economic Evaluations, Quality of Life · Healthcare Systems and Reforms · Internal Medicine · Medicine

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Citation velocityhistorical
Highly citedNo

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