Estimating Health Utility in Patients Presenting for Spine Surgery Using Patient-reported Outcomes Measurement Information System (PROMIS) Health Domains

Micheal Raad, Brian J Neuman, Khaled M Kebaish, Lee H. Riley, Richard Skolasky

Research output: Contribution to journalArticle

Abstract

STUDY DESIGN: Prospective cohort study. OBJECTIVE: To evaluate whether Patient-Reported Outcomes Measurement Information System (PROMIS) health domains can effectively estimate health utility index values for patients presenting for spine surgery. SUMMARY OF BACKGROUND DATA: Stable estimates of health utility are required to determine cost-effectiveness of spine surgery. There are no established methods to estimate health utility using PROMIS. METHODS: We enrolled 439 patients with spine disease (mean age, 54 ± 18 yrs) presenting for surgery and assessed their health using the Medical Outcomes Study Short Form-12, version 2 (SF-12v2) and PROMIS domains. Standard health utility values were estimated from the SF-12v2. Participants were randomly assigned to derivation or validation cohort. In the derivation cohort, health utility values were estimated as a function of PROMIS domains using regression models. Model fit statistics determined the most parsimonious health utility estimation equation (HEE). In the validation cohort, values were calculated using the HEE. Estimated health utility values were correlated with SF-12v2-derived health utility values. RESULTS: Mean preoperative health utility was 0.492 ± 0.008 and was similar between the two cohorts. All PROMIS health domains were significantly associated with health utility except Anxiety (P = 0.830) and Sleep Disturbance (P = 0.818). The final HEE was:Health Utility (est) = 0.70742 - 0.00471 × Pain + 0.00647 × Physical function - 0.00316 × Fatigue - 0.00214 × Depression + 0.00317 × Satisfaction with Participation in Social Roles.The estimation model accounted for 74% of observed variation in health utility. In the validation sample, mean health utility was 0.5033 ± 0.1684 and estimated health utility was 0.4966 ± 0.1342 (P = 0.401). These measures were strongly correlated (rho = 0.834). CONCLUSION: Our results indicate that PROMIS provides a reasonable estimate of health utility in adults presenting for lumbar or cervical spine surgery.1.

Original languageEnglish (US)
Pages (from-to)908-914
Number of pages7
JournalSpine
Volume44
Issue number13
DOIs
StatePublished - Jul 1 2019

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Health Information Systems
Spine
Health
Information Systems
Patient Reported Outcome Measures

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Clinical Neurology

Cite this

@article{fbef3ba6df7a41059830f0ab16dfd490,
title = "Estimating Health Utility in Patients Presenting for Spine Surgery Using Patient-reported Outcomes Measurement Information System (PROMIS) Health Domains",
abstract = "STUDY DESIGN: Prospective cohort study. OBJECTIVE: To evaluate whether Patient-Reported Outcomes Measurement Information System (PROMIS) health domains can effectively estimate health utility index values for patients presenting for spine surgery. SUMMARY OF BACKGROUND DATA: Stable estimates of health utility are required to determine cost-effectiveness of spine surgery. There are no established methods to estimate health utility using PROMIS. METHODS: We enrolled 439 patients with spine disease (mean age, 54 ± 18 yrs) presenting for surgery and assessed their health using the Medical Outcomes Study Short Form-12, version 2 (SF-12v2) and PROMIS domains. Standard health utility values were estimated from the SF-12v2. Participants were randomly assigned to derivation or validation cohort. In the derivation cohort, health utility values were estimated as a function of PROMIS domains using regression models. Model fit statistics determined the most parsimonious health utility estimation equation (HEE). In the validation cohort, values were calculated using the HEE. Estimated health utility values were correlated with SF-12v2-derived health utility values. RESULTS: Mean preoperative health utility was 0.492 ± 0.008 and was similar between the two cohorts. All PROMIS health domains were significantly associated with health utility except Anxiety (P = 0.830) and Sleep Disturbance (P = 0.818). The final HEE was:Health Utility (est) = 0.70742 - 0.00471 × Pain + 0.00647 × Physical function - 0.00316 × Fatigue - 0.00214 × Depression + 0.00317 × Satisfaction with Participation in Social Roles.The estimation model accounted for 74{\%} of observed variation in health utility. In the validation sample, mean health utility was 0.5033 ± 0.1684 and estimated health utility was 0.4966 ± 0.1342 (P = 0.401). These measures were strongly correlated (rho = 0.834). CONCLUSION: Our results indicate that PROMIS provides a reasonable estimate of health utility in adults presenting for lumbar or cervical spine surgery.1.",
author = "Micheal Raad and Neuman, {Brian J} and Kebaish, {Khaled M} and Riley, {Lee H.} and Richard Skolasky",
year = "2019",
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doi = "10.1097/BRS.0000000000002977",
language = "English (US)",
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pages = "908--914",
journal = "Spine",
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TY - JOUR

T1 - Estimating Health Utility in Patients Presenting for Spine Surgery Using Patient-reported Outcomes Measurement Information System (PROMIS) Health Domains

AU - Raad, Micheal

AU - Neuman, Brian J

AU - Kebaish, Khaled M

AU - Riley, Lee H.

AU - Skolasky, Richard

PY - 2019/7/1

Y1 - 2019/7/1

N2 - STUDY DESIGN: Prospective cohort study. OBJECTIVE: To evaluate whether Patient-Reported Outcomes Measurement Information System (PROMIS) health domains can effectively estimate health utility index values for patients presenting for spine surgery. SUMMARY OF BACKGROUND DATA: Stable estimates of health utility are required to determine cost-effectiveness of spine surgery. There are no established methods to estimate health utility using PROMIS. METHODS: We enrolled 439 patients with spine disease (mean age, 54 ± 18 yrs) presenting for surgery and assessed their health using the Medical Outcomes Study Short Form-12, version 2 (SF-12v2) and PROMIS domains. Standard health utility values were estimated from the SF-12v2. Participants were randomly assigned to derivation or validation cohort. In the derivation cohort, health utility values were estimated as a function of PROMIS domains using regression models. Model fit statistics determined the most parsimonious health utility estimation equation (HEE). In the validation cohort, values were calculated using the HEE. Estimated health utility values were correlated with SF-12v2-derived health utility values. RESULTS: Mean preoperative health utility was 0.492 ± 0.008 and was similar between the two cohorts. All PROMIS health domains were significantly associated with health utility except Anxiety (P = 0.830) and Sleep Disturbance (P = 0.818). The final HEE was:Health Utility (est) = 0.70742 - 0.00471 × Pain + 0.00647 × Physical function - 0.00316 × Fatigue - 0.00214 × Depression + 0.00317 × Satisfaction with Participation in Social Roles.The estimation model accounted for 74% of observed variation in health utility. In the validation sample, mean health utility was 0.5033 ± 0.1684 and estimated health utility was 0.4966 ± 0.1342 (P = 0.401). These measures were strongly correlated (rho = 0.834). CONCLUSION: Our results indicate that PROMIS provides a reasonable estimate of health utility in adults presenting for lumbar or cervical spine surgery.1.

AB - STUDY DESIGN: Prospective cohort study. OBJECTIVE: To evaluate whether Patient-Reported Outcomes Measurement Information System (PROMIS) health domains can effectively estimate health utility index values for patients presenting for spine surgery. SUMMARY OF BACKGROUND DATA: Stable estimates of health utility are required to determine cost-effectiveness of spine surgery. There are no established methods to estimate health utility using PROMIS. METHODS: We enrolled 439 patients with spine disease (mean age, 54 ± 18 yrs) presenting for surgery and assessed their health using the Medical Outcomes Study Short Form-12, version 2 (SF-12v2) and PROMIS domains. Standard health utility values were estimated from the SF-12v2. Participants were randomly assigned to derivation or validation cohort. In the derivation cohort, health utility values were estimated as a function of PROMIS domains using regression models. Model fit statistics determined the most parsimonious health utility estimation equation (HEE). In the validation cohort, values were calculated using the HEE. Estimated health utility values were correlated with SF-12v2-derived health utility values. RESULTS: Mean preoperative health utility was 0.492 ± 0.008 and was similar between the two cohorts. All PROMIS health domains were significantly associated with health utility except Anxiety (P = 0.830) and Sleep Disturbance (P = 0.818). The final HEE was:Health Utility (est) = 0.70742 - 0.00471 × Pain + 0.00647 × Physical function - 0.00316 × Fatigue - 0.00214 × Depression + 0.00317 × Satisfaction with Participation in Social Roles.The estimation model accounted for 74% of observed variation in health utility. In the validation sample, mean health utility was 0.5033 ± 0.1684 and estimated health utility was 0.4966 ± 0.1342 (P = 0.401). These measures were strongly correlated (rho = 0.834). CONCLUSION: Our results indicate that PROMIS provides a reasonable estimate of health utility in adults presenting for lumbar or cervical spine surgery.1.

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