Literature DB >> 10901359

Estimation of utilities for the effects of depression from the SF-12.

L A Lenert1, C D Sherbourne, C Sugar, K B Wells.   

Abstract

BACKGROUND: Utilities for health conditions, including major depressive disorder, have a theoretical relationship to health-related quality of life (HRQOL). Because of the complexity of utility measurement and the existence of large numbers of completed studies with HRQOL data but not utility data, it would be desirable to be able to estimate utilities from measurements of HRQOL.
OBJECTIVE: The objective of this study was to estimate utility for remission in major depression by use of information on associated variation in Short Form 12 (SF-12) scores.
DESIGN: A mapping function for SF-12 scores (based on a 6-health-state model with patient-weighted preferences) was applied to longitudinal data from a large naturalistic study to estimate changes in utilities.
SUBJECTS: Preference ratings for states were performed in a convenience sample of depressed primary care patients (n = 140). Outcomes were evaluated in patients in the Course of Depression Study (n = 295) with a DSM III diagnosis of depression at the onset of the study. MEASURES: From clinical interview data, differences in utilities and global physical and mental health-related quality of life at 1- and 2-year follow-up were compared for patients who did and did not experience remission as determined by the Course of Depression Interview.
RESULTS: Remission of depression resulted in health status improvement, as measured by the SF-12, equivalent to a gain of 0.11 quality-adjusted life-years over 2 years.
CONCLUSIONS: Utilities for changes in health status, associated with a clinical change in depression, can be modeled from the SF-12 scales, which results in utilities within the range of estimates described in the literature.

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Mesh:

Year:  2000        PMID: 10901359     DOI: 10.1097/00005650-200007000-00008

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  20 in total

1.  A survey of quality of life and depression for police officers in Kaohsiung, Taiwan.

Authors:  Hsiu-Chao Chen; Frank Huang-Chih Chou; Ming-Chao Chen; Shu-Fang Su; Shing-Yaw Wang; Wen-Wei Feng; Pei-Chun Chen; Juin-Yang Lai; Shin-Shin Chao; Shiow-Lan Yang; Tung-Chieh Tsai; Kuan-Yi Tsai; Kung-Shih Lin; Chun-Ying Lee; Hung-Chi Wu
Journal:  Qual Life Res       Date:  2006-06       Impact factor: 4.147

2.  Measuring preferences for cost-utility analysis: how choice of method may influence decision-making.

Authors:  Christine M McDonough; Anna N A Tosteson
Journal:  Pharmacoeconomics       Date:  2007       Impact factor: 4.981

3.  Rasch analysis in the development of a simplified version of the National Eye Institute Visual-Function Questionnaire-25 for utility estimation.

Authors:  Jonathan W Kowalski; Anne M Rentz; John G Walt; Andrew Lloyd; Jeff Lee; Tracey A Young; Wen-Hung Chen; Neil M Bressler; Paul Lee; John E Brazier; Ron D Hays; Dennis A Revicki
Journal:  Qual Life Res       Date:  2011-08-04       Impact factor: 4.147

4.  Predicting SF-6D utility scores from the neck disability index and numeric rating scales for neck and arm pain.

Authors:  Leah Y Carreon; Paul A Anderson; Christine M McDonough; Mladen Djurasovic; Steven D Glassman
Journal:  Spine (Phila Pa 1976)       Date:  2011-03-15       Impact factor: 3.468

5.  Development of a preference-based index from the National Eye Institute Visual Function Questionnaire-25.

Authors:  Anne M Rentz; Jonathan W Kowalski; John G Walt; Ron D Hays; John E Brazier; Ren Yu; Paul Lee; Neil Bressler; Dennis A Revicki
Journal:  JAMA Ophthalmol       Date:  2014-03       Impact factor: 7.389

6.  The cost-effectiveness of depression treatment for co-occurring disorders: a clinical trial.

Authors:  Katherine E Watkins; Alison E Cuellar; Kimberly A Hepner; Sarah B Hunter; Susan M Paddock; Brett A Ewing; Erin de la Cruz
Journal:  J Subst Abuse Treat       Date:  2013-10-02

Review 7.  The estimation of utility weights in cost-utility analysis for mental disorders: a systematic review.

Authors:  Michael Sonntag; Hans-Helmut König; Alexander Konnopka
Journal:  Pharmacoeconomics       Date:  2013-12       Impact factor: 4.981

8.  Converting the SF-12 into the EQ-5D: an empirical comparison of methodologies.

Authors:  Ling-Hsiang Chuang; Paul Kind
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

9.  Predicting SF-6D utility scores from the Oswestry disability index and numeric rating scales for back and leg pain.

Authors:  Leah Y Carreon; Steven D Glassman; Christine M McDonough; Raja Rampersaud; Sigurd Berven; Michael Shainline
Journal:  Spine (Phila Pa 1976)       Date:  2009-09-01       Impact factor: 3.468

10.  Internet-Delivered Cognitive Behavioural Therapy for Major Depression and Anxiety Disorders: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2019-02-19
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