Title

A General Population Utility Valuation Study For Metastatic Epidural Spinal Cord Compression Health States.

Document Type

Article

Publication Date

1-7-2019

Publication Title

Spine (Phila Pa 1976)

Abstract

STUDY DESIGN: General population utility valuation study OBJECTIVES.: This study obtained utility valuations from a Canadian general population perspective for 31 unique Metastatic Epidural Spinal Cord Compression (MESCC) health states and determined the relative importance of MESCC-related consequences on quality-of-life.

SUMMARY OF BACKGROUND DATA: Few prospective studies on the treatment of MESCC have collected quality-adjusted-life-year weights (termed "utilities"). Utilities are an important summative measure which distills health outcomes to a single number that can assist healthcare providers, patients, and policy makers in decision making.

METHODS: We recruited a sample of 1138 adult Canadians using a market research company. Quota sampling was used to ensure that the participants were representative of the Canadian population in terms of age, gender, and province of residence. Using the validated MESCC module for the "Self-administered Online Assessment of Preferences" (SOAP) tool, participants were asked to rate 6 of the 31 MESCC health states, each of which presented varying severities of 5 MESCC-related dysfunctions (dependent; non-ambulatory; incontinent; pain; other symptoms).

RESULTS: Participants equally valued all MESCC-related dysfunctions which followed a pattern of diminishing marginal disutility (each additional consequence resulted in a smaller incremental decrease in utility than the previous). These results demonstrate that the general population values physical function equal to other facets of quality-of-life.

CONCLUSIONS: We provide a comprehensive set of ex ante utility estimates for MESCC health states that can be used to help inform decision making. This is the first study reporting direct utility valuation for a spinal disorder. Our methodology offers a feasible solution for obtaining quality-of-life data without collecting generic health status questionnaire responses from patients.

LEVEL OF EVIDENCE: 4.

PubMed ID

30633114

ePublication

ePub ahead of print

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