The association between different outcome measures and prognostic factors in patients with neck pain: a cohort study
Abstract Background Health domains like pain, disability, and health-related quality of life are commonly used outcomes for musculoskeletal disorders. Most prognostic studies include only one outcome, and it is unknown if prognostic factors and models may be generic across different outcomes. The ob...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-07-01
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| Series: | BMC Musculoskeletal Disorders |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12891-022-05558-5 |
| _version_ | 1818474078825086976 |
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| author | Birgitte Lawaetz Myhrvold Alice Kongsted Pernille Irgens Hilde Stendal Robinson Nina K Vøllestad |
| author_facet | Birgitte Lawaetz Myhrvold Alice Kongsted Pernille Irgens Hilde Stendal Robinson Nina K Vøllestad |
| author_sort | Birgitte Lawaetz Myhrvold |
| collection | DOAJ |
| description | Abstract Background Health domains like pain, disability, and health-related quality of life are commonly used outcomes for musculoskeletal disorders. Most prognostic studies include only one outcome, and it is unknown if prognostic factors and models may be generic across different outcomes. The objectives of this study were to examine the correlation among commonly used outcomes for neck pain (pain intensity, disability, and health-related quality of life) and to explore how the predictive performance of a prognostic model differs across commonly used outcomes. Methods We conducted an observational prospective cohort study with data from patients with neck pain aged 18–84 years consulting Norwegian chiropractors. We used three different outcomes: pain intensity (Numeric Pain Rating Scale), the Neck Disability Index (NDI), and health-related quality of Life (EQ-5D). We assessed associations between change in outcome scores at 12-weeks follow-up with Pearson’s correlation coefficient. We used multivariable linear regression models to explore differences in explained variance and relationship between predictors and outcomes. Results The study sample included 1313 patients and 941 (72%) completed follow-up at 12 weeks. The strongest correlation was between NDI and EQ-5D (r = 0.57) while the weakest correlation was between EQ-5D and pain intensity (r = 0.39). The correlation between NDI and pain intensity was moderate (r = 0.53) In the final regression models, the explained variance ranged from adjusted R2 of 0.26 to 0.60, highest with NDI and lowest with pain intensity as outcome. The predictive contributions of the included predictors were similar across outcomes. Among the investigated predictors, pain patterns and the baseline measure of the corresponding outcome measure contributed the most to explained variance across all outcomes. Conclusions The highest correlation was found between NDI and EQ-5D and the lowest with pain intensity. The same prognostic model showed highest predictive performance with NDI as outcome and poorest with pain intensity as outcome. These results suggest that we need more knowledge on the reasons for the differences in predictive performance variation across outcomes. |
| first_indexed | 2024-04-14T04:31:44Z |
| format | Article |
| id | doaj.art-7ca6634bafdc4ce8953a276a1f93d111 |
| institution | Directory Open Access Journal |
| issn | 1471-2474 |
| language | English |
| last_indexed | 2024-04-14T04:31:44Z |
| publishDate | 2022-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Musculoskeletal Disorders |
| spelling | doaj.art-7ca6634bafdc4ce8953a276a1f93d1112022-12-22T02:12:01ZengBMCBMC Musculoskeletal Disorders1471-24742022-07-0123111310.1186/s12891-022-05558-5The association between different outcome measures and prognostic factors in patients with neck pain: a cohort studyBirgitte Lawaetz Myhrvold0Alice Kongsted1Pernille Irgens2Hilde Stendal Robinson3Nina K Vøllestad4Department of Interdisciplinary Health Sciences, Institute of Health and Society, University of OsloDepartment of Sports Science and Clinical Biomechanics, University of Southern DenmarkDepartment of Interdisciplinary Health Sciences, Institute of Health and Society, University of OsloDepartment of Interdisciplinary Health Sciences, Institute of Health and Society, University of OsloDepartment of Interdisciplinary Health Sciences, Institute of Health and Society, University of OsloAbstract Background Health domains like pain, disability, and health-related quality of life are commonly used outcomes for musculoskeletal disorders. Most prognostic studies include only one outcome, and it is unknown if prognostic factors and models may be generic across different outcomes. The objectives of this study were to examine the correlation among commonly used outcomes for neck pain (pain intensity, disability, and health-related quality of life) and to explore how the predictive performance of a prognostic model differs across commonly used outcomes. Methods We conducted an observational prospective cohort study with data from patients with neck pain aged 18–84 years consulting Norwegian chiropractors. We used three different outcomes: pain intensity (Numeric Pain Rating Scale), the Neck Disability Index (NDI), and health-related quality of Life (EQ-5D). We assessed associations between change in outcome scores at 12-weeks follow-up with Pearson’s correlation coefficient. We used multivariable linear regression models to explore differences in explained variance and relationship between predictors and outcomes. Results The study sample included 1313 patients and 941 (72%) completed follow-up at 12 weeks. The strongest correlation was between NDI and EQ-5D (r = 0.57) while the weakest correlation was between EQ-5D and pain intensity (r = 0.39). The correlation between NDI and pain intensity was moderate (r = 0.53) In the final regression models, the explained variance ranged from adjusted R2 of 0.26 to 0.60, highest with NDI and lowest with pain intensity as outcome. The predictive contributions of the included predictors were similar across outcomes. Among the investigated predictors, pain patterns and the baseline measure of the corresponding outcome measure contributed the most to explained variance across all outcomes. Conclusions The highest correlation was found between NDI and EQ-5D and the lowest with pain intensity. The same prognostic model showed highest predictive performance with NDI as outcome and poorest with pain intensity as outcome. These results suggest that we need more knowledge on the reasons for the differences in predictive performance variation across outcomes.https://doi.org/10.1186/s12891-022-05558-5Neck painPrognostic factorsPredictionOutcome measuresPain intensityNeck disability index |
| spellingShingle | Birgitte Lawaetz Myhrvold Alice Kongsted Pernille Irgens Hilde Stendal Robinson Nina K Vøllestad The association between different outcome measures and prognostic factors in patients with neck pain: a cohort study BMC Musculoskeletal Disorders Neck pain Prognostic factors Prediction Outcome measures Pain intensity Neck disability index |
| title | The association between different outcome measures and prognostic factors in patients with neck pain: a cohort study |
| title_full | The association between different outcome measures and prognostic factors in patients with neck pain: a cohort study |
| title_fullStr | The association between different outcome measures and prognostic factors in patients with neck pain: a cohort study |
| title_full_unstemmed | The association between different outcome measures and prognostic factors in patients with neck pain: a cohort study |
| title_short | The association between different outcome measures and prognostic factors in patients with neck pain: a cohort study |
| title_sort | association between different outcome measures and prognostic factors in patients with neck pain a cohort study |
| topic | Neck pain Prognostic factors Prediction Outcome measures Pain intensity Neck disability index |
| url | https://doi.org/10.1186/s12891-022-05558-5 |
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