Abstract
Low back pain related to work injury has major socioeconomic implications. Theoretically, the early detection of patients at risk for continued work disability after 6 months of work absence, and of those with a recurrence of pain (RP) and leave work once again, should be cost-effective if combined with effective intervention. The objective of this prospective research was to analyze the cost-effectiveness of a detection-intervention system (DIS) developed from a logistic predictive model of work status. A sample of newly injured workers (N=135 males) were assessed following a first episode of compensated low back pain. A predictive biopsychosocial profile was obtained from a series of univariate and multivariate regression analyses. Structural diagnosis, pain rating, length of inactivity before treatment, negative life changes, and self-efficacy expectancies were found to be best predictors. With a correct classification rate of 72% the predictive model parameters (sensitivity and specificity) were chosen in order to reduce the number of false negatives (recurrence of pain or chronic patients not detected). The calculation of the cost/benefit proportions reveals that the detection-intervention system generates savings of up to $39,595 Can./100 patients a year. By combining low treatment expenses ($250 Can to $1,000 Can.) and increasing the success rates (40–75% return to work), the detection-intervention system is potentially more cost effective than the current approach without detection-intervention.
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References
Andersson GBJ. Epidemiological aspects on low-back pain in industry.Spine 1981; 6:53–60.
Special issue: Industrial back pain in Europe.Ergonomics 1985; 28 (Jan).
Nachemson AL. Work for all: For all those with low back pain as well.Clin Orthop Rel Res 1983; 179: 77–85.
Vällfors B. Acute, subacute and chronic low back pain: Clinical symptoms, absenteeism and working environment.Scand J Rehab Med 1985; 11(Suppl).
Allaire M, Dionne G, St-Michel P.Profil statistique des travailleurs québécois ayant subi une affection vertébrale en 1987. Québec, Québec: Commission de la santé et de la sécurité du travail du Québec (CSST), Direction de l'analyse et de la gestion de l'information, 1990.
Rossignol, M, Suissa S, Abenheim L. Working disability due to occupational back pain: Three-year follow-up of 2,300 compensated workers in Quebec.J Occup Med 1988; 30:502–506.
Abenheim L, Suissa S, Rossignol M. Risk of recurrence of occupational back pain over three-year follow-up.Br J Ind Med 1988; 45: 829–833.
Spitzer WO.Report of the Quebec Task Force on clinical aspects in workers' spinal disorders. Montreal, Quebec: Institute for Workers' Health and Safety (IRSST/IWHS) Publications, 1986.
Burton AK, Tillotson KM, Troup JDG, Prediction of low-back trouble in a working population.Spine 1989; 14: 939–946.
Steinberg GG. Epidemiology of low back pain. In Stanton-Hicks M, Boas RA, eds.Chronic low back pain. New York: Raven Press, 1982.
Crook J, Rideout E, Browne G. The prevalence of pain complaints in a general population.,Pain 1984; 18: 299–314.
Gallagher RM, Rauh V, Haugh LD, Milhous R, Callas PW, Langelier R, et al. Determinants of return-to-work among low back pain patients.Pain 1989; 39:55–67.
Garron DC, Leavitt, F. Chronic low back pain and depression.J Clin Psychol 1983; 4: 486–493.
Keel PT. Psychosocial criteria for patient selection: Review of studies and concepts for understanding chronic back patient.Neurosurgery 1984; 15: 935–941.
Nachemson A. Work for all: For those with low-back pain as well.Clin Orthop Rel Res 1983; 179: 77–88.
Linton SJ. Chronic pain: The case for prevention.Behav Res Ther 1987; 25: 313–317.
Hall H, Iceton JA. Back school: An overview with specific reference to Canadian Back Education Units.Clin Orthop Rel Res 1983; 179: 10–16.
Lloyd DCEF, Troup JDG. Recurrent back pain and its prediction.J Soc Occup Med 1983; 33: 66–74.
Beals RK, Hickman NW. Industrial injuries of the back extremities: Comprehensive evaluation—an aid in prognosis and management: A study of 188 patients.J Bone Joint Surg 1972; 54A: 1593–1611.
Turk DC. Customizing treatment for chronic pain patients: Who, what, and why.Clin J Pain 1990; 6: 255–270.
Chapman SL, Brena SF. Pain and society.Ann Behav Med 1985; 7: 21–24.
Poirier M, Rochon-Goyer L. L'efficacité et la rentabilité des services psychologiques de santé.Psychol. Québec 1991; 8: 8–9.
Jacobs DF. Cost-effectiveness of specialized psychological programs for reducing hospital stays and outpatient visits.J Clin Psychol 1987; 43: 729–735.
Merskey MA, Rosenbaum, JF, Williams JB, Spitzer RL, Sifneos PE, Winokur G, et al. Comments on chronic pain as a variant of depressive disease: The pain-prone disorder.J Nerv Ment Dis 1982; 170: 325–332.
Sheik K. Occupational injury, chronic low-back pain and return to work.Public Health 1987; 101: 417–425.
Sandström J, Esbjörnsson E, Return to work after rehabilitation: the significance of the patient's own prediction.Scand J Rehab Med 1986; 18: 29–33.
Troup JDG, Martin JW, Lloyd DCEF. Back pain in industry: A prospective survey.Spine 1981; 6: 61–69.
Lichter RL, Hewson JK, Radke SJ, Blum M. Treatment for chronic low-back pain: A community-based comprehensive return-to-work physical rehabilitation program.Clin Orthop Rel Res 1984; 190: 115–123.
Fredrickson BE, Trief PM, Vanbeveren P, Yuan HA, Baum G. Rehabilitation of the patient with chronic back pain: A search for outcome predictors.Spine 1988; 13: 351–353.
Cairns D, Mooney V, Crane P. Spinal pain rehabilitation: Inpatient and outpatient treatment results and development of predictors for outcome.Spine 1984; 9: 91–95.
Fordyce WE, Brockway JA, Bergman JA. Acute back pain: A control-group comparison of behavioral vs. traditional management methods.J Behav Med 1986; 9: 127–140.
Murphy KA, Cornish RD. Prediction of chronicity in acute low back pain.Arch Phys Med Rehad 1984; 65: 334–337.
Polatin PB, Gatchel RJ, Barnes D, Mayer H, Arens C, Mayer TG. A psychosociomedical prediction model of response to treatment by chronically disabled workers with low-back pain.Spine 1989; 14: 956–961.
Roland MO, Morrell DC, Morris RW. Can general practitioners predict the outcome of episodes of back pain?Br Med J 1983; 286: 523–526.
Dzioba RB, Doxey NC. A prospective investigation into the orthopaedic and psychologic predictors of outcome of first lumbar surgery following industrial injury.Spine 1984: 9: 614–623.
Waddell G, Main CJ, Morris EW, Di Paola M, Gray ICM. Chronic low-back pain, psychologic distress, and illness behavior.Spine 1984; 9: 209–213.
Uomoto JM, Turner JA, Herron LD. Use of MMPI and MCMI in predicting outcome of lumbar laminectomy.J Clin Psychol 1988; 44: 191–197.
Singer J, Gilbert JR, Hutton T, Taylor DW Predicting outcome in acute low-back pain.Can Fam Physician 1987; 33: 655–659.
Sandström J. Clinical and social factors in rehabilitation of patients with chronic low back pain.Scand J Rehab Med 1986; 18: 35–43.
Roberts N, Smith R, Bennett S, Cape J, Norton R, Kilburn P. Health beliefs and rehabilitation after lumbar disc surgery.J Psychosomat Res 1984; 28: 139–144.
Waddell G, Bircher M, Finlayson D, Main CJ. Symptoms and signs: Physical disease or illness behavior?Br Med J 1984; 289: 739–741.
Tait RC, Chibnall JT, Duckro PN, Deshiedls TL. Stable factors in chronic pain.Clin J Pain 1989; 5: 323–328.
Mendelson G. Chronic pain and compensation: A review.J Pain Symptom Mnmt 1986; 1: 135–144.
Greenough CG, Fraser RD. The effects of compensation on recovery from low-back injury.Spine 1989; 14: 947–955.
Frymoyer JW, Catz-Baril W. Predictors of low back, pain disability.Clin Orthop Rel Res 1987 221: 89–98.
Feuerstein M, Carter RL, Papciak AS. A prospective analysis of stress and fatigue in recurrent low back pain.Pain 1987; 31: 333–344.
Melzack R. The McGill pain questionnaire: Major properties and scoring methods.Pain 1975; 1: 277–299.
Bourque P, Beaudette D. Étude psychométrique du questionnaire de dépression de Beck auprès d'un échantillon d'étudiants universitaires francophones.Can J Behav Sci 1982; 14: 211–218.
Spielberger CD, Gorsuch RL, Lushene R, Vagg PR, Jacobs GA.Manual for the state-trait anxiety inventory STAI. Palo Alto, California: Consulting Psychologist, 1983.
Buss AH, Durkee A. An inventory for assessing different kinds of hostility.J Consult Psychol 1957; 21: 243–349.
Lazarus R, Folkman S.Stress, appraisal and coping New York: Springer, 1984.
Véronneau F.Évolution des profils bio-psycho.-sociaux d'accidentés du travail souffrant de dorsalgielombalgie, en fonction du retour au travail, de la chronicité et de la récidive déterminés six mois après le début de l'arrêt de travail. Dissertation, Université de Montréal, Montréal, Québec,: 1990, 297 p.
Wallston KA, Wallston BS, De Vellis RF. Development of the multidimensional health locus of control (MHLC) scales.Health Education Monogr. 1978; 6: 160–170.
Dupuis G, Perrault J, Lambany MC, Kennedy L, David P. A new tool to assess quality of life: The Quality of Life Systemic Inventory.,Quality Life Cardiovasc. Care 1989 (Spring): 36–45.
Sarason IG, Johnson JH, Siegel JM. Assessing the impact of life changes: Development of the life experience survey.J Consult Clin Psychol 1978; 46: 932–946.
Derogatis LR.The derogatis stress profile (DSP) Baltimore: Clinical Psychometric Research, 1984.
Olson CL.Statistics: Making sense of data. Dubuque: WM. C. Brown Publishers, 1988.
Hummel TJ, Sligo JR. Empirical comparison of univariate and multivariate analysis of variance procedure.Stat Bull 1970; 70: 49–57.
Baer L, Ahern D.STATCHOICE, The statistical consulting program. Littleton, Massachusetts: PSG Publishing Company, 1988.
Shavelson RJ,Statistical reasoning for the behavioral sciences. Needham Heights., Massachusetts: Allyn and Beacon, 1988.
Skipper JK, Anthony LG, Nass G. The sacredness of.05: A note concerning the uses of statistical levels of significance in social science.Am Sociol. 1967; 2: 16–18.
Ingelfinger JA, Mosteller FM, Thibodeau LA, Ware JH.Biostatistics in clinical medicine. New York, McMillan Publishing Company, 1983.
Freiman JA, Chalmers TC, Smith H, Kuebler RR. The Importance of beta, the type II error, and sample size in the design and interpretation of randomized controlled trial: Survey of 71 “negative” trials. In Bailar JC, Mosteller F, eds.Medical uses of statistics. Waltham, Massachusetts NEJM Books, 1986.
Winer BJ.Statistical principles and experimental design. New York: McGraw-Hill, 1962.
Dixon WJ, ed.B.M.D.P. statistical software manual. Los Angeles: University of California Press, 1988.
Kleinbaum DG, Kipper LL, Morgenstern H.Epidemiologic research: Principles and quantitative methods. New York: Van Nostrand Reinhold Co. 1982.
Weinstein MC, Fineberg HV, Elstein AS, Frazier HS, Neuhauser D, Neutra RR, McNeil BJ.Clinical decision analysis. Philadelphia: W. B. Saunders Company, 1980.
Feuerstein M, Sult S, Houle M. Environmental stressors and chronic low back pain: Life events, family and work environment.Pain 1985; 22: 295–307.
Ackerman MD, Stevens MJ. Acute and chronic pain: Pain dimensions and psychological status.J Clin Psychol 1989; 45: 223–228.
Dolce JJ, Crocker MF, Dobys DM. Predictors of outcome among chronic pain patients.Behav Res Ther 1986; 24: 313–324.
Brown GK, Nicassio PM. Development of a questionnaire for the assessment of active and passive coping strategies in chronic pain patients.Pain 1987; 31: 53–64.
Turner JA, Claney S, Vitaliano PP. Relationship of stress, appraisal and coping to chronic low pain.Behav Res Ther 1987; 25: 281–288.
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Gervais, S., Dupuis, G., Véronneau, F. et al. Predictive model to determine cost/benefit of early detection and intervention in occupational low back pain. J Occup Rehab 1, 113–131 (1991). https://doi.org/10.1007/BF01073382
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DOI: https://doi.org/10.1007/BF01073382