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Use of health status measures in patients with low back pain in clinical settings. Comparison of specific, generic and preference-based instruments
Abstract
OBJECTIVE: To evaluate the discriminative performance over time of specific, generic and preference-based instruments in patients with low back pain (LBP) in clinical settings. METHODS: Forty-six consecutive patients with LBP participated in the study. Self-response questionnaires were administered at baseline and 3 and 6 months, including the following instruments: Oswestry (specific for LBP), SF-36 (generic), EuroQol (EQ-5D) and Health Utilities Index (HUI) (preference-based). EQ-5D and HUI weights were derived from previously published evaluations in the general population. Patients were asked to compare their health status with their baseline health and were categorized on the basis of an ordinal scale as: (a) improved; (b) stable; or (c) worse. Changes in the instruments were evaluated by rescaling the instruments over the same scale interval and by estimating standardized effect sizes between two time points for the three categories of change. RESULTS: Thirty-seven patients (80%) completed both the baseline and the 3-month questionnaire and 34 the baseline and 6-month questionnaires (74%). Overall, at both time points, approximately half of the patients reported no changes in their health status. Correlations between instruments were generally low, suggesting that they measure different health domains. The scales which discriminated best between patients who improved and those who deteriorated at 3 months were the Oswestry, the HUI, the EQ-5D and the SF-36 bodily pain and emotional role subscales. The SF-36 subscales appeared to have a floor effect for those patients who had deteriorated. CONCLUSIONS: Most SF-36 subscales did not adequately reflect changes in the health status of patients with LBP, mostly for those who reported deterioration. Preference-derived quality-of-life scores appeared to discriminate among patients who improved and those who deteriorated, although not as consistently as the disease-specific measure (Oswestry). Additional research is needed to evaluate the role of generic measures of quality of life in the assessment of patients with LBP before they can be widely implemented in clinical settings or outcomes research.
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“in the study by Suarez-Almazor et al. [46], inconsistent results were found (very low quality evidence due to risk of bias and imprecision) as 11 of 32 hypotheses were met (34%) (Table 3).”
From Evidence on the measurement properties of health-related quality of life instruments is largely missing in patients with low back pain: A systematic review (2018) · cites this paper as [46]
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Metadata
- Authors
- Suarez‐Almazor, M. E., Kendall, C., Johnson, J. A., Skeith, K., & Vincent, D.
- Affiliations
- University of Alberta (CA)
- ORCID
- Johnson, J. A.
- Venue
- Rheumatology
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-07
- Volume
- 39
- Issue
- 7
- Pages
- 783-790
- ISSN
- 1462-0324 (ISSN-L)
- 1462-0332
- OpenAlex
- W2146271699
- Cited by
- 134
- References
- 20
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 3 · 2022: 3 · 2021: 3 · 2020: 8 · 2019: 4 · 2018: 6 · 2017: 4 · 2016: 4 · 2015: 4 · 2014: 2 · 2013: 9 · 2012: 2
- FWCI
- 3.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Lara D. Veeken (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Spine and Intervertebral Disc Pathology
- Keywords
- low back pain, health indicators, Oswestry Disability Index, SF-36, EQ-5D, Health Utilities Index, preference-based health-related quality of life, generic health-related quality of life, floor effect, change detection, standardized effect size
- MeSH terms
- Data Collection, Female, Health Status Indicators, Health Surveys, Humans, Male, Middle Aged, Quality of Life, Surveys and Questionnaires, Low Back Pain, Disease Progression
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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