Computer-Assessed Preference-Based Quality of Life in Patients with Spinal Cord Injury

Enea Parimbelli, Caterina Pistarini, Gabriella Fizzotti, Carla Rognoni, Giampiero Olivieri, Silvana Quaglini

Research output: Contribution to journalArticle

Abstract

OBJECTIVES: Our aims were to (1) measure quality of life (QoL) in spinal cord injury (SCI) patients using different methods and analyze differences; (2) enable targeted treatments by identifying variables that affect QoL; and (3) provide decision-makers with useful data for cost-utility analyses in SCI population.

METHODS: Seventy-one participants were enrolled. The computer-based tool UceWeb was used to elicit QoL in terms of utility coefficients, through the standard gamble, time trade-off, and rating scale methods. The SF36 questionnaire was also administered. Statistical analyses were performed to find predictors of QoL among collected variables.

RESULTS: Median values for rating scale, time trade-off, and standard gamble were 0.60, 0.82, and 0.85, respectively. All scales were significantly correlated. Rating scale and SF36 provided similar values, significantly lower than the other methods. Impairment level, male gender, older age, living alone, and higher education were correlated with lower QoL but accounted for only 20% of the variation in utility coefficients.

CONCLUSIONS: Demographic and clinical variables are useful to predict QoL but do not completely capture utility coefficients variability. Therefore, direct preference-based utility elicitation should be strengthened. Finally, this is the first study providing data that can be used as a reference for cost-utility analyses in the Italian SCI population.

Original languageEnglish
Pages (from-to)4543610
JournalBioMed Research International
Volume2017
DOIs
Publication statusPublished - 2017

Fingerprint

Spinal Cord Injuries
Quality of Life
Cost-Benefit Analysis
Costs
Education
Population
Demography

Keywords

  • Journal Article

Cite this

Computer-Assessed Preference-Based Quality of Life in Patients with Spinal Cord Injury. / Parimbelli, Enea; Pistarini, Caterina; Fizzotti, Gabriella; Rognoni, Carla; Olivieri, Giampiero; Quaglini, Silvana.

In: BioMed Research International, Vol. 2017, 2017, p. 4543610.

Research output: Contribution to journalArticle

Parimbelli, Enea ; Pistarini, Caterina ; Fizzotti, Gabriella ; Rognoni, Carla ; Olivieri, Giampiero ; Quaglini, Silvana. / Computer-Assessed Preference-Based Quality of Life in Patients with Spinal Cord Injury. In: BioMed Research International. 2017 ; Vol. 2017. pp. 4543610.
@article{d05c9006017a495da43b99acae9ff90f,
title = "Computer-Assessed Preference-Based Quality of Life in Patients with Spinal Cord Injury",
abstract = "OBJECTIVES: Our aims were to (1) measure quality of life (QoL) in spinal cord injury (SCI) patients using different methods and analyze differences; (2) enable targeted treatments by identifying variables that affect QoL; and (3) provide decision-makers with useful data for cost-utility analyses in SCI population.METHODS: Seventy-one participants were enrolled. The computer-based tool UceWeb was used to elicit QoL in terms of utility coefficients, through the standard gamble, time trade-off, and rating scale methods. The SF36 questionnaire was also administered. Statistical analyses were performed to find predictors of QoL among collected variables.RESULTS: Median values for rating scale, time trade-off, and standard gamble were 0.60, 0.82, and 0.85, respectively. All scales were significantly correlated. Rating scale and SF36 provided similar values, significantly lower than the other methods. Impairment level, male gender, older age, living alone, and higher education were correlated with lower QoL but accounted for only 20{\%} of the variation in utility coefficients.CONCLUSIONS: Demographic and clinical variables are useful to predict QoL but do not completely capture utility coefficients variability. Therefore, direct preference-based utility elicitation should be strengthened. Finally, this is the first study providing data that can be used as a reference for cost-utility analyses in the Italian SCI population.",
keywords = "Journal Article",
author = "Enea Parimbelli and Caterina Pistarini and Gabriella Fizzotti and Carla Rognoni and Giampiero Olivieri and Silvana Quaglini",
year = "2017",
doi = "10.1155/2017/4543610",
language = "English",
volume = "2017",
pages = "4543610",
journal = "BioMed Research International",
issn = "2314-6133",
publisher = "Hindawi Publishing Corporation",

}

TY - JOUR

T1 - Computer-Assessed Preference-Based Quality of Life in Patients with Spinal Cord Injury

AU - Parimbelli, Enea

AU - Pistarini, Caterina

AU - Fizzotti, Gabriella

AU - Rognoni, Carla

AU - Olivieri, Giampiero

AU - Quaglini, Silvana

PY - 2017

Y1 - 2017

N2 - OBJECTIVES: Our aims were to (1) measure quality of life (QoL) in spinal cord injury (SCI) patients using different methods and analyze differences; (2) enable targeted treatments by identifying variables that affect QoL; and (3) provide decision-makers with useful data for cost-utility analyses in SCI population.METHODS: Seventy-one participants were enrolled. The computer-based tool UceWeb was used to elicit QoL in terms of utility coefficients, through the standard gamble, time trade-off, and rating scale methods. The SF36 questionnaire was also administered. Statistical analyses were performed to find predictors of QoL among collected variables.RESULTS: Median values for rating scale, time trade-off, and standard gamble were 0.60, 0.82, and 0.85, respectively. All scales were significantly correlated. Rating scale and SF36 provided similar values, significantly lower than the other methods. Impairment level, male gender, older age, living alone, and higher education were correlated with lower QoL but accounted for only 20% of the variation in utility coefficients.CONCLUSIONS: Demographic and clinical variables are useful to predict QoL but do not completely capture utility coefficients variability. Therefore, direct preference-based utility elicitation should be strengthened. Finally, this is the first study providing data that can be used as a reference for cost-utility analyses in the Italian SCI population.

AB - OBJECTIVES: Our aims were to (1) measure quality of life (QoL) in spinal cord injury (SCI) patients using different methods and analyze differences; (2) enable targeted treatments by identifying variables that affect QoL; and (3) provide decision-makers with useful data for cost-utility analyses in SCI population.METHODS: Seventy-one participants were enrolled. The computer-based tool UceWeb was used to elicit QoL in terms of utility coefficients, through the standard gamble, time trade-off, and rating scale methods. The SF36 questionnaire was also administered. Statistical analyses were performed to find predictors of QoL among collected variables.RESULTS: Median values for rating scale, time trade-off, and standard gamble were 0.60, 0.82, and 0.85, respectively. All scales were significantly correlated. Rating scale and SF36 provided similar values, significantly lower than the other methods. Impairment level, male gender, older age, living alone, and higher education were correlated with lower QoL but accounted for only 20% of the variation in utility coefficients.CONCLUSIONS: Demographic and clinical variables are useful to predict QoL but do not completely capture utility coefficients variability. Therefore, direct preference-based utility elicitation should be strengthened. Finally, this is the first study providing data that can be used as a reference for cost-utility analyses in the Italian SCI population.

KW - Journal Article

U2 - 10.1155/2017/4543610

DO - 10.1155/2017/4543610

M3 - Article

C2 - 28948166

VL - 2017

SP - 4543610

JO - BioMed Research International

JF - BioMed Research International

SN - 2314-6133

ER -