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Published in: Journal of Occupational Rehabilitation 3/2007

01-09-2007

Exploring the Contribution of Patient-Reported and Clinician Based Variables for the Prediction of Low Back Work Status

Authors: Martijn W. Heymans, Jon J. Ford, Joan M. McMeeken, Alexander Chan, Henrica C. W. de Vet, Willem van Mechelen

Published in: Journal of Occupational Rehabilitation | Issue 3/2007

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Abstract

Background

Successful management of workers on sick leave due to low back pain by the general physician and physiotherapist depends on reliable prognostic information on the course of low back pain and work resumption.

Methods

Retrospective cohort study in 194 patients who were compensated because of chronic low back pain and who were treated by a physiotherapy functional restoration program. Patient-reported and clinician based prognostic indicators were assessed at baseline before patients entered the functional restoration program. We investigated the predictive value of these indicators on work status at 6 months. Relationships were studied using logistic regression analysis in a 2-step bootstrap modelling approach and a nomogram was developed. Discrimination and calibration of the nomogram was evaluated internally and the explained variation of the nomogram calculated.

Results

Seventy percent of workers were back to work at 6 months. We found that including duration of complaints, functional disability, disc herniation and fear avoidance beliefs resulted in the “best” prognostic model. All these factors delayed work resumption. This model was used to construct a nomogram. The explained variation of the nomogram was 23.7%. Discrimination was estimated by the area under the receiver operating characteristic curve and was 0.76 and for calibration we used the slope estimate that was 0.91. The positive predictive values of the nomogram at different cut-off levels of predicted probability were good.

Conclusions

Knowledge of the predictive value of these indicators by physicians and physiotherapists will help to identify subgroups of patients and will thus enhance clinical decision-making.
Literature
1.
go back to reference Andersson, G. B. J. (1999). Epidemiological features of chronic low-back pain. Lancet, 354, 581–585.PubMedCrossRef Andersson, G. B. J. (1999). Epidemiological features of chronic low-back pain. Lancet, 354, 581–585.PubMedCrossRef
2.
go back to reference Frank, J. W., Brooker, A. S., DeMaio, S. E., Kerr, M. S., Maetzel, A., & Shannon, H. S., et al. (1996). Disability resulting from occupational low back pain: Part II: What do we know about secondary prevention? A review of the scientific evidence on prevention after disability begins. Spine, 21, 2918–2929. Frank, J. W., Brooker, A. S., DeMaio, S. E., Kerr, M. S., Maetzel, A., & Shannon, H. S., et al. (1996). Disability resulting from occupational low back pain: Part II: What do we know about secondary prevention? A review of the scientific evidence on prevention after disability begins. Spine, 21, 2918–2929.
3.
go back to reference Mathers, C., & Penn, R. (1999). Health system costs of injury, poisoning and musculo-skeletal disorders in Australia 1993–1994. Canberra: Australian Institute of Health and Welfare. AIHW Catalogue No. HWE 12 (Health and Welfare Expenditure Series No. 6). Australia. Mathers, C., & Penn, R. (1999). Health system costs of injury, poisoning and musculo-skeletal disorders in Australia 1993–1994. Canberra: Australian Institute of Health and Welfare. AIHW Catalogue No. HWE 12 (Health and Welfare Expenditure Series No. 6). Australia.
4.
go back to reference van Tulder, M. W., Koes, B. W., & Bouter, L. M. (1995). A cost-of-illness study of back pain in the Netherlands. Pain, 62, 233–240.PubMedCrossRef van Tulder, M. W., Koes, B. W., & Bouter, L. M. (1995). A cost-of-illness study of back pain in the Netherlands. Pain, 62, 233–240.PubMedCrossRef
5.
go back to reference van der Hulst, M., Vollenbroek-Hutten, M. M., & Ijzerman, M. J. (1995). A systematic review of sociodemographic, physical, and psychological predictors of multidisciplinary rehabilitation-or, back school treatment outcome in patients with chronic low back pain. Spine, 30(7), 813–825. Review.CrossRef van der Hulst, M., Vollenbroek-Hutten, M. M., & Ijzerman, M. J. (1995). A systematic review of sociodemographic, physical, and psychological predictors of multidisciplinary rehabilitation-or, back school treatment outcome in patients with chronic low back pain. Spine, 30(7), 813–825. Review.CrossRef
6.
go back to reference Leboeuf-Yde, C., Gronstvedt, A., Borge, J. A., Lothe, J., Magnesen, E., Nilsson, O., Rosok, G., Stig, L. C., & Larsen, K. (2004). The nordic back pain subpopulation program: Demographic and clinical predictors for outcome in patients receiving chiropractic treatment for persistent low back pain. Journal of Manipulative and Physiological Therapeutics, 27(8), 493–502.PubMedCrossRef Leboeuf-Yde, C., Gronstvedt, A., Borge, J. A., Lothe, J., Magnesen, E., Nilsson, O., Rosok, G., Stig, L. C., & Larsen, K. (2004). The nordic back pain subpopulation program: Demographic and clinical predictors for outcome in patients receiving chiropractic treatment for persistent low back pain. Journal of Manipulative and Physiological Therapeutics, 27(8), 493–502.PubMedCrossRef
7.
go back to reference Flynn, T., Fritz, J., Whitman, J., Wainner, R., Magel, J., Rendeiro, D., Butler, B., Garber, M., & Allison, S. (2002). A clinical prediction rule for classifying patients with low back pain who demonstrate short-term improvement with spinal manipulation. Spine, 27(24), 2835–2843.PubMedCrossRef Flynn, T., Fritz, J., Whitman, J., Wainner, R., Magel, J., Rendeiro, D., Butler, B., Garber, M., & Allison, S. (2002). A clinical prediction rule for classifying patients with low back pain who demonstrate short-term improvement with spinal manipulation. Spine, 27(24), 2835–2843.PubMedCrossRef
8.
go back to reference Heymans, M. W., de Vet, H. C., Knol, D. L., Bongers, P. M., Koes, B. W., & van Mechelen, W. (2006). Workers’ beliefs and expectations affect return to work over 12 months. Journal of Occupational Rehabilitation, 16(4), 685–695.CrossRef Heymans, M. W., de Vet, H. C., Knol, D. L., Bongers, P. M., Koes, B. W., & van Mechelen, W. (2006). Workers’ beliefs and expectations affect return to work over 12 months. Journal of Occupational Rehabilitation, 16(4), 685–695.CrossRef
9.
go back to reference Borge, J. A., Leboeuf-Yde, C., & Lothe, J. (2001). Prognostic values of physical examination findings in patients with chronic low back pain treated conservatively: A systematic literature review. Journal of Manipulative and Physiological Therapeutics, 24(4), 292–295. Review.PubMedCrossRef Borge, J. A., Leboeuf-Yde, C., & Lothe, J. (2001). Prognostic values of physical examination findings in patients with chronic low back pain treated conservatively: A systematic literature review. Journal of Manipulative and Physiological Therapeutics, 24(4), 292–295. Review.PubMedCrossRef
10.
go back to reference Hunt, D. G., Zuberbier, O. A., Kozlowski, A. J., Berkowitz, J., Schultz, I. Z., Milner, R. A., Crook, J. M., & Turk, D. C. (2002). Are components of a comprehensive medical assessment predictive of work disability after an episode of occupational low back trouble? Spine, 27(23), 2715–2719.PubMedCrossRef Hunt, D. G., Zuberbier, O. A., Kozlowski, A. J., Berkowitz, J., Schultz, I. Z., Milner, R. A., Crook, J. M., & Turk, D. C. (2002). Are components of a comprehensive medical assessment predictive of work disability after an episode of occupational low back trouble? Spine, 27(23), 2715–2719.PubMedCrossRef
11.
go back to reference Childs, J. D., Fritz, J. M., Flynn, T. W., Irrgang, J. J., Johnson, K. K., Majkowski, G. R., & Delitto, A. (2004). A clinical prediction rule to identify patients with low back pain most likely to benefit from spinal manipulation: A validation study. Annals of Internal Medicine, 141(12), 920–928.PubMed Childs, J. D., Fritz, J. M., Flynn, T. W., Irrgang, J. J., Johnson, K. K., Majkowski, G. R., & Delitto, A. (2004). A clinical prediction rule to identify patients with low back pain most likely to benefit from spinal manipulation: A validation study. Annals of Internal Medicine, 141(12), 920–928.PubMed
12.
go back to reference Andersson, G. B., & Deyo, R. A. (1996). History and physical examination in patients with herniated lumbar discs. Spine, 21(24 Suppl):10S–18S. Review.PubMed Andersson, G. B., & Deyo, R. A. (1996). History and physical examination in patients with herniated lumbar discs. Spine, 21(24 Suppl):10S–18S. Review.PubMed
13.
go back to reference Wetzel, F. T., & Donelson, R. (2003). The role of repeated end-range/pain response assessment in the management of symptomatic lumbar discs. The Spine Journal, 3(2), 146–154.PubMedCrossRef Wetzel, F. T., & Donelson, R. (2003). The role of repeated end-range/pain response assessment in the management of symptomatic lumbar discs. The Spine Journal, 3(2), 146–154.PubMedCrossRef
14.
go back to reference Rebain, R., Baxter, G. D., & McDonough, S. (2002). A systematic review of the passive straight leg raising test as a diagnostic aid for low back pain (1989 to 2000). Spine, 27(17), E388–E395. Review.PubMedCrossRef Rebain, R., Baxter, G. D., & McDonough, S. (2002). A systematic review of the passive straight leg raising test as a diagnostic aid for low back pain (1989 to 2000). Spine, 27(17), E388–E395. Review.PubMedCrossRef
15.
go back to reference Polatin, P. B., Cox, B., Gatchel, R. J., & Mayer, T. G. (1997). A prospective study of Waddell signs in patients with chronic low back pain. When they may not be predictive. Spine, 22(14), 1618–1621.PubMedCrossRef Polatin, P. B., Cox, B., Gatchel, R. J., & Mayer, T. G. (1997). A prospective study of Waddell signs in patients with chronic low back pain. When they may not be predictive. Spine, 22(14), 1618–1621.PubMedCrossRef
16.
go back to reference Gaines, W. G. Jr, & Hegmann, K. T. (1999). Effectiveness of Waddell’s nonorganic signs in predicting a delayed return to regular work in patients experiencing acute occupational low back pain. Spine, 24(4), 396–400.PubMedCrossRef Gaines, W. G. Jr, & Hegmann, K. T. (1999). Effectiveness of Waddell’s nonorganic signs in predicting a delayed return to regular work in patients experiencing acute occupational low back pain. Spine, 24(4), 396–400.PubMedCrossRef
17.
go back to reference Guzman, J., Esmail, R., Karjalainen, K., Malmivaara, A., Irvin, E., & Bombardier, C. (2002). Multidisciplinary bio-psycho-social rehabilitation for chronic low back pain. Cochrane Database of Systematic Reviews (1), CD000963. Review. Guzman, J., Esmail, R., Karjalainen, K., Malmivaara, A., Irvin, E., & Bombardier, C. (2002). Multidisciplinary bio-psycho-social rehabilitation for chronic low back pain. Cochrane Database of Systematic Reviews (1), CD000963. Review.
18.
go back to reference Schonstein, E., Kenny, D. T., Keating, J., & Koes, B. W. (2003). Work conditioning, work hardening and functional restoration for workers with back and neck pain. Cochrane Database of Systematic Reviews, (1), CD001822. Review. Schonstein, E., Kenny, D. T., Keating, J., & Koes, B. W. (2003). Work conditioning, work hardening and functional restoration for workers with back and neck pain. Cochrane Database of Systematic Reviews, (1), CD001822. Review.
19.
go back to reference Reilly, B. M, & Evans, A. T. (2006). Translating clinical research into clinical practice: Impact of using prediction rules to make decisions. Annals of Internal Medicine, 144(3), 201–209.PubMed Reilly, B. M, & Evans, A. T. (2006). Translating clinical research into clinical practice: Impact of using prediction rules to make decisions. Annals of Internal Medicine, 144(3), 201–209.PubMed
20.
go back to reference Hahne, A. J., & Ford, J. J. (2006). Functional restoration for a chronic lumbar disk extrusion with associated radiculopathy. Physical Therapy, 86(12), 1668–1680.PubMedCrossRef Hahne, A. J., & Ford, J. J. (2006). Functional restoration for a chronic lumbar disk extrusion with associated radiculopathy. Physical Therapy, 86(12), 1668–1680.PubMedCrossRef
21.
go back to reference Crook, J., Milner, R., Schultz, I. Z., & Stringer, B. (2002). Determinants of occupational disability following a low back injury: A critical review of the literature. Journal of Occupational Rehabilitation, 12, 277–295. Review.PubMedCrossRef Crook, J., Milner, R., Schultz, I. Z., & Stringer, B. (2002). Determinants of occupational disability following a low back injury: A critical review of the literature. Journal of Occupational Rehabilitation, 12, 277–295. Review.PubMedCrossRef
22.
go back to reference Krause, N., Frank, J. W., Dasinger, L. K., Sullivan, T. J., & Sinclair, S. J. (2001). Determinants of duration of disability and return-to-work after work-related injury and illness: Challenges for future research. American Journal of Industrial Medicine, 40, 464–484. Review.PubMedCrossRef Krause, N., Frank, J. W., Dasinger, L. K., Sullivan, T. J., & Sinclair, S. J. (2001). Determinants of duration of disability and return-to-work after work-related injury and illness: Challenges for future research. American Journal of Industrial Medicine, 40, 464–484. Review.PubMedCrossRef
23.
go back to reference Fairbank, J. C., Couper, J., Davies, J. B., & O’Brien, J. P. (1980). The Oswestry low back pain disability questionnaire. Physiotherapy, 66(8), 271–273.PubMed Fairbank, J. C., Couper, J., Davies, J. B., & O’Brien, J. P. (1980). The Oswestry low back pain disability questionnaire. Physiotherapy, 66(8), 271–273.PubMed
24.
go back to reference Waddell, G., Newton, M., Henderson, I., Somerville, D., & Main, C. J. (1993). A Fear-Avoidance Beliefs Questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain, 52, 157–168.PubMedCrossRef Waddell, G., Newton, M., Henderson, I., Somerville, D., & Main, C. J. (1993). A Fear-Avoidance Beliefs Questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain, 52, 157–168.PubMedCrossRef
25.
go back to reference Andersson, G. B., Brown, M. D., Dvorak, J., Herzog, R. J., Kambin, P., Malter, A., McCulloch, J. A., Saal, J. A., Spratt, K. F., & Weinstein, J. N. (1996). Consensus summary of the diagnosis and treatment of lumbar disc herniation. Spine, 21(24 Suppl), 75S–78S. Review.PubMed Andersson, G. B., Brown, M. D., Dvorak, J., Herzog, R. J., Kambin, P., Malter, A., McCulloch, J. A., Saal, J. A., Spratt, K. F., & Weinstein, J. N. (1996). Consensus summary of the diagnosis and treatment of lumbar disc herniation. Spine, 21(24 Suppl), 75S–78S. Review.PubMed
26.
go back to reference Clare, H. A., Adams, R., & Maher, C. G. (2005). Reliability of McKenzie classification of patients with cervical or lumbar pain. Journal of Manipulative and Physiological Therapeutics, 28(2), 122–127.PubMedCrossRef Clare, H. A., Adams, R., & Maher, C. G. (2005). Reliability of McKenzie classification of patients with cervical or lumbar pain. Journal of Manipulative and Physiological Therapeutics, 28(2), 122–127.PubMedCrossRef
27.
go back to reference Shiraishi, T., & Crock, H. V. (1995). Re-exploration of the lumbar spine following simple discectomy: A review of 23 cases. European Spine Journal, 4(2):84–87.PubMedCrossRef Shiraishi, T., & Crock, H. V. (1995). Re-exploration of the lumbar spine following simple discectomy: A review of 23 cases. European Spine Journal, 4(2):84–87.PubMedCrossRef
28.
go back to reference Waddell, G., McCulloch, J., Kummel, E., & Venner, R. (1980). Nonorganic physical signs in low back pain. Spine, 5, 117–125.PubMedCrossRef Waddell, G., McCulloch, J., Kummel, E., & Venner, R. (1980). Nonorganic physical signs in low back pain. Spine, 5, 117–125.PubMedCrossRef
29.
go back to reference Werneke, M. W., Harris, D. E., & Lichter, R. L. (1993). Clinical effectiveness of behavioral signs for screening chronic low-back pain patients in a work-oriented physical rehabilitation program. Spine, 18(16), 2412–2418.PubMedCrossRef Werneke, M. W., Harris, D. E., & Lichter, R. L. (1993). Clinical effectiveness of behavioral signs for screening chronic low-back pain patients in a work-oriented physical rehabilitation program. Spine, 18(16), 2412–2418.PubMedCrossRef
30.
go back to reference Foldes, K., Balint, P., Gaal, M., Buchanan, W. W., & Balint, G. P. (1992). Nocturnal pain correlates with effusions in diseased hips. Journal of Rheumatology, 19(11), 1756–1758.PubMed Foldes, K., Balint, P., Gaal, M., Buchanan, W. W., & Balint, G. P. (1992). Nocturnal pain correlates with effusions in diseased hips. Journal of Rheumatology, 19(11), 1756–1758.PubMed
31.
go back to reference Willams, M., & McKenzie, R. A. (1993). Patient classification. Physical Therapeutics, 73(8), 550–551. Willams, M., & McKenzie, R. A. (1993). Patient classification. Physical Therapeutics, 73(8), 550–551.
32.
go back to reference Harrell, F. E. Jr. (2001). Regression modeling strategies. New York: Springer-Verlag. Harrell, F. E. Jr. (2001). Regression modeling strategies. New York: Springer-Verlag.
33.
go back to reference Van Buuren, S. (2000). The Mice Library. http://www.multiple-imputation.com. Accessed. Van Buuren, S. (2000). The Mice Library. http://​www.​multiple-imputation.​com.​ Accessed.
34.
go back to reference Holländer, N., Augustin, N. H., & Sauerbrei, W. (2006). Investigation on the improvement of prediction by bootstrap model averaging. Methods of Information in Medicine, 45(1), 44–50.PubMed Holländer, N., Augustin, N. H., & Sauerbrei, W. (2006). Investigation on the improvement of prediction by bootstrap model averaging. Methods of Information in Medicine, 45(1), 44–50.PubMed
35.
go back to reference Sauerbrei, W., & Schumacher, M. (1992). A bootstrap resampling procedure for model building: Application to the Cox regression model. Statistics in Medicine, 11(16), 2093–2109.PubMedCrossRef Sauerbrei, W., & Schumacher, M. (1992). A bootstrap resampling procedure for model building: Application to the Cox regression model. Statistics in Medicine, 11(16), 2093–2109.PubMedCrossRef
36.
go back to reference Steyerberg, E. W., Eijkemans, M. J., & Habbema, J. D. (1999). Stepwise selection in small data sets: A simulation study of bias in logistic regression analysis. Journal of Clinical Epidemiology, 52(10), 935–942.PubMedCrossRef Steyerberg, E. W., Eijkemans, M. J., & Habbema, J. D. (1999). Stepwise selection in small data sets: A simulation study of bias in logistic regression analysis. Journal of Clinical Epidemiology, 52(10), 935–942.PubMedCrossRef
37.
go back to reference Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York, John Wiley & Sons. Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York, John Wiley & Sons.
38.
go back to reference Peduzzi, P., Concato, J., Feinstein, A. R., & Holford, T. R. (1995). Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. Journal of Clinical Epidemiology, 48(12), 1503–1510.PubMedCrossRef Peduzzi, P., Concato, J., Feinstein, A. R., & Holford, T. R. (1995). Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. Journal of Clinical Epidemiology, 48(12), 1503–1510.PubMedCrossRef
39.
go back to reference Harrell, F. E. Jr, Lee, K. L., & Mark, D. B. (1996). Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Statistics in Medicine, 15(4), 361–387. Review.PubMedCrossRef Harrell, F. E. Jr, Lee, K. L., & Mark, D. B. (1996). Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Statistics in Medicine, 15(4), 361–387. Review.PubMedCrossRef
40.
go back to reference Nagelkerke, N. J. D. (1991). A note on a general definition of the coefficient of determination. Biometrika, 78, 691–692.CrossRef Nagelkerke, N. J. D. (1991). A note on a general definition of the coefficient of determination. Biometrika, 78, 691–692.CrossRef
41.
go back to reference Vergouwe, Y., Steyerberg, E. W., Eijkemans, M. J., & Habbema, J. D. (2002) Validity of prognostic models: When is a model clinically useful? Seminars in Urologic Oncology, 20, 96–107.PubMedCrossRef Vergouwe, Y., Steyerberg, E. W., Eijkemans, M. J., & Habbema, J. D. (2002) Validity of prognostic models: When is a model clinically useful? Seminars in Urologic Oncology, 20, 96–107.PubMedCrossRef
43.
go back to reference Gheldof, E. L., Vinck, J., Vlaeyen, J. W., Hidding, A., & Crombez, G. (2005). The differential role of pain, work characteristics and pain-related fear in explaining back pain and sick leave in occupational settings. Pain, 113(1–2), 71–81.PubMedCrossRef Gheldof, E. L., Vinck, J., Vlaeyen, J. W., Hidding, A., & Crombez, G. (2005). The differential role of pain, work characteristics and pain-related fear in explaining back pain and sick leave in occupational settings. Pain, 113(1–2), 71–81.PubMedCrossRef
44.
go back to reference Fritz, J. M., & George, S. Z. (2002). Identifying psychosocial variables in patients with acute work-related low back pain: The importance of fear-avoidance beliefs. Physical Therapy, 82, 973–983.PubMed Fritz, J. M., & George, S. Z. (2002). Identifying psychosocial variables in patients with acute work-related low back pain: The importance of fear-avoidance beliefs. Physical Therapy, 82, 973–983.PubMed
45.
go back to reference Steenstra, I. A., Verbeek, J. H. A. M, Heymans, M. W., & Bongers, P. M. (2005). Prognostic factors for return to work in patients sick listed with acute low-back pain, a systematic review of the literature. OEM, 62, 851–860. Review.CrossRef Steenstra, I. A., Verbeek, J. H. A. M, Heymans, M. W., & Bongers, P. M. (2005). Prognostic factors for return to work in patients sick listed with acute low-back pain, a systematic review of the literature. OEM, 62, 851–860. Review.CrossRef
46.
go back to reference Crook, J., Milner, R., Schultz, I. Z., & Stringer, B. (2002). Determinants of occupational disability following a low back injury: A critical review of the literature. Journal of Occupaitonal Rehabilitation, 12, 277–295. Review.CrossRef Crook, J., Milner, R., Schultz, I. Z., & Stringer, B. (2002). Determinants of occupational disability following a low back injury: A critical review of the literature. Journal of Occupaitonal Rehabilitation, 12, 277–295. Review.CrossRef
47.
go back to reference Von Korff, M., Ormel, J., Keefe, F. J., & Dworkin, S. F. (1992). Grading the severity of chronic pain. Pain, 50(2), 133–149.CrossRef Von Korff, M., Ormel, J., Keefe, F. J., & Dworkin, S. F. (1992). Grading the severity of chronic pain. Pain, 50(2), 133–149.CrossRef
48.
go back to reference Truchon, M., & Fillion, L. (2000). Biopsychosocial determinants of chronic disability and low-back pain: A review. Journal of Occupational Rehabilitation, 10, 117–142.CrossRef Truchon, M., & Fillion, L. (2000). Biopsychosocial determinants of chronic disability and low-back pain: A review. Journal of Occupational Rehabilitation, 10, 117–142.CrossRef
49.
go back to reference Bogduk, N. (1997). Clinical anatomy of the lumbar spine and sacrum. New York, Churchill Livingstone. Bogduk, N. (1997). Clinical anatomy of the lumbar spine and sacrum. New York, Churchill Livingstone.
50.
go back to reference DiFabio, R. P., & Boissonnault, W. (1998). Physical therapy and health-related outcomes for patients with common orthopaedic diagnoses. Journal of Orthopaedic and Sports Physical Therapy, 27(3), 219–230. DiFabio, R. P., & Boissonnault, W. (1998). Physical therapy and health-related outcomes for patients with common orthopaedic diagnoses. Journal of Orthopaedic and Sports Physical Therapy, 27(3), 219–230.
51.
52.
go back to reference Augustin, N. H., Sauerbrei, W., & Schumacher, M. (2005). The practical utility of incorporating model selection uncertainty into prognostic models for survival data. Statistical Modelling, 5(2), 95–118.CrossRef Augustin, N. H., Sauerbrei, W., & Schumacher, M. (2005). The practical utility of incorporating model selection uncertainty into prognostic models for survival data. Statistical Modelling, 5(2), 95–118.CrossRef
53.
go back to reference Austin P. C., & Tu, J. V. (2004). Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortality. Journal of Clinical Epidemiology, 57(11), 1138–1146.PubMedCrossRef Austin P. C., & Tu, J. V. (2004). Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortality. Journal of Clinical Epidemiology, 57(11), 1138–1146.PubMedCrossRef
Metadata
Title
Exploring the Contribution of Patient-Reported and Clinician Based Variables for the Prediction of Low Back Work Status
Authors
Martijn W. Heymans
Jon J. Ford
Joan M. McMeeken
Alexander Chan
Henrica C. W. de Vet
Willem van Mechelen
Publication date
01-09-2007
Publisher
Springer US
Published in
Journal of Occupational Rehabilitation / Issue 3/2007
Print ISSN: 1053-0487
Electronic ISSN: 1573-3688
DOI
https://doi.org/10.1007/s10926-007-9084-1

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