Abstract
Purpose
To determine whether emotional distress reported at the initial consultation affects subsequent healthcare use either directly or indirectly via moderating the influence of symptoms.
Methods
Longitudinal observational study of 2891 participants consulting primary care for low back pain. Negative binomial regression models were constructed to estimate independent effects of emotional distress on healthcare use. Potential confounders were identified using directed acyclic graphs.
Results
After the initial consultation, participants had a mean (SD) of one (1.2) visit for back pain over 3 months, and nine (14) visits for back pain over 12 months. Higher reports of anxiety during the initial consultation led to increased short-term healthcare use (IRR 1.06, 95 % CI 1.01–1.11) and higher reports of depression led to increased long-term healthcare use (IRR 1.04, 95 % CI 1.02–1.07). The effect sizes suggest that a patient with a high anxiety score (8/10) would consult 50 % more frequently over 3 months, and a person with a high depression score (8/10) would consult 30 % more frequently over 12 months, compared to a patient with equivalent pain and disability and no reported anxiety or depression.
Conclusions
Emotional distress in the acute stage of low back pain increased subsequent consultation rates. Interventions that target emotional distress during the initial consultation are likely to reduce costly and potentially inappropriate future healthcare use for patients with non-specific low back pain.
Similar content being viewed by others
References
Hong J, Reed C, Novick D, Happich M (2013) Costs associated with treatment of chronic low back pain: an analysis of the UK General Practice Research Database. Spine (Phila Pa 1976) 38:75–82. doi:10.1097/BRS.0b013e318276450f
Deyo RA, Weinstein JN (2001) Low back pain. N Engl J Med 344:363–370. doi:10.1056/NEJM200102013440508
Martin BI, Deyo RA, Mirza SK, Turner JA, Comstock BA, Hollingworth W, Sullivan SD (2008) Expenditures and health status among adults with back and neck problems. JAMA 299:656–664. doi:10.1001/jama.299.6.656
Carey TS, Evans A, Hadler N, Kalsbeek W, McLaughlin C, Fryer J (1995) Care-seeking among individuals with chronic low back pain. Spine (Phila Pa 1976) 20:312–317
Ferreira ML, Machado G, Latimer J, Maher C, Ferreira PH, Smeets RJ (2010) Factors defining care-seeking in low back pain—a meta-analysis of population based surveys. Eur J Pain 14:e741–e747. doi:10.1016/j.ejpain.2009.11.005
Andersen R, Newman JF (1973) Societal and individual determinants of medical care utilization in the United States. Milbank Mem Fund Q Health Soc 51:95–124. doi:10.2307/3349613
Pincus T, Burton AK, Vogel S, Field AP (2002) A systematic review of psychological factors as predictors of chronicity/disability in prospective cohorts of low back pain. Spine (Phila Pa 1976) 27:E109–E120
Von Korff M, Lin EH, Fenton JJ, Saunders K (2007) Frequency and priority of pain patients’ health care use. Clin J Pain 23:400–408
Hernan MA, Hernandez-Diaz S, Werler MM, Mitchell AA (2002) Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol 155:176–184
Becker A, Held H, Redaelli M, Strauch K, Chenot JF, Leonhardt C, Keller S, Baum E, Pfingsten M, Hildebrandt J (2010) Low back pain in primary care: costs of care and prediction of future health care utilization. Spine (Phila Pa 1976) 35:1714–1720
Engel CC, Von Korff M, Katon WJ (1996) Back pain in primary care: predictors of high health-care costs. Pain 65:197–204
Frostholm L, Fink P, Christensen KS, Toft T, Oernboel E, Olesen F, Weinman J (2005) The patients’ illness perceptions and the use of primary health care. Psychosom Med 67:997–1005. doi:10.1097/01.psy.0000189164.85653.bc
Williams CM, Maher CG, Latimer J, McLachlan AJ, Hancock MJ, Day RO, Lin CW (2014) Efficacy of paracetamol for acute low-back pain: a double-blind, randomised controlled trial. Lancet 9954:1586–1596. doi:10.1016/s0140-6736(14)60805-9
Henschke N, Maher CG, Refshauge KM, Herbert RD, Cumming RG, Bleasel J, York J, Das A, McAuley JH (2008) Prognosis in patients with recent onset low back pain in Australian primary care: inception cohort study. BMJ 337:a171. doi:10.1136/bmj.a171
ABS (2006) Private health insurance: a snapshot, 2004–05 Australian bureau of statistics. http://www.abs.gov.au/ausstats/abs@.nsf/mf/4815.0.55.001. Accessed June 2015
Maher CG, Grotle M (2009) Evaluation of the predictive validity of the Orebro musculoskeletal pain screening questionnaire. Clin J Pain 25:666–670
Opsommer E, Hilfiker R, Raval-Roland B, Crombez G, Rivier G (2013) Test-retest reliability of the Orebro musculoskeletal pain screening questionnaire and the situational pain scale in patients with chronic low back pain. Swiss Med Wkly 143:w13903. doi:10.4414/smw.2013.13903
Haggman S, Maher CG, Refshauge KM (2004) Screening for symptoms of depression by physical therapists managing low back pain. Phys Ther 84:1157–1166
Traeger AC, Huebscher M, Lee H, Williams CM, Maher CG, Henschke N, Moseley GL, JH M (2015) Acute low back pain in primary care: can emotional distress explain high healthcare use? body in mind. http://www.bodyinmind.org/resources/protocols/statistical-analysis/lbp-primary-care/. Accessed May 2015
Shrier I, Platt RW (2008) Reducing bias through directed acyclic graphs. BMC Med Res Methodol 8:70. doi:10.1186/1471-2288-8-70
Ware JE Jr, Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 30:473–483
Roland M, Morris R (1983) A study of the natural history of back pain. Part I: development of a reliable and sensitive measure of disability in low-back pain. Spine (Phila Pa 1976) 8:141–144
ABS (2011) Socio-Economic Indexes for Areas (SEIFA). Australian Bureau of Statistics. http://www.abs.gov.au/websitedbs/censushome.nsf/home/seifa. Accessed June 2015
Hayes AF (2013) Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. Guilford Press, New York
Hider SL, Whitehurst DG, Thomas E, Foster NE (2015) Pain location matters: the impact of leg pain on health care use, work disability and quality of life in patients with low back pain. Eur Spine J 24:444–451. doi:10.1007/s00586-014-3355-2
Hirsch O, Strauch K, Held H, Redaelli M, Chenot JF, Leonhardt C, Keller S, Baum E, Pfingsten M, Hildebrandt J, Basler HD, Kochen MM, Donner-Banzhoff N, Becker A (2014) Low back pain patient subgroups in primary care: pain characteristics, psychosocial determinants, and health care utilization. Clin J Pain 30:1023–1032. doi:10.1097/ajp.0000000000000080
Nolet PS, Kristman VL, Cote P, Carroll LJ, Hincapie CA, David Cassidy J (2015) The association between a lifetime history of work-related low back injury and future low back pain: a population-based cohort study. Eur Spine J. doi:10.1007/s00586-015-4151-3
Chiwaridzo M, Naidoo N (2015) Functional consequences and health-care seeking behaviour for recurrent non-specific low back pain in Zimbabwean adolescents: a cross-sectional study. Eur Spine J. doi:10.1007/s00586-015-4105-9
Babitsch B, Gohl D, von Lengerke T (2012) Re-revisiting Andersen’s behavioral model of health services use: a systematic review of studies from 1998–2011. GMS Psycho Soc Med 9:Doc11. doi:10.3205/psm000089
Aydemir O, Ozdemir C, Koroglu E (2005) The impact of co-morbid conditions on the SF-36: a primary-care-based study among hypertensives. Arch Med Res 36:136–141
Katz JN, Chang LC, Sangha O, Fossel AH, Bates DW (1996) Can comorbidity be measured by questionnaire rather than medical record review? Med Care 34:73–84
Beneciuk JM, Robinson ME, George SZ (2015) Subgrouping for patients with low back pain: a multidimensional approach incorporating cluster analysis and the STarT back screening tool. J Pain 16:19–30. doi:10.1016/j.jpain.2014.10.004
Traeger AC, Hubscher M, Henschke N, Moseley GL, Lee H, McAuley JH (2015) Effect of primary care-based education on reassurance in patients with acute low back pain: systematic review and meta-analysis. JAMA Intern Med 5:733–743. doi:10.1001/jamainternmed.2015.0217
Acknowledgments
AT and HL are supported by a National Health and Medical Research Council PhD Scholarship. GLM is supported by a National Health and Medical Research Council research fellowship NHMRC ID 1061279. JM and MH are supported by a National Health and Medical Research Council project Grant ID 1047827. CM is supported by a National Health and Medical Research Council research fellowship NHMRC ID 1002081.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
None.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Traeger, A.C., Hübscher, M., Henschke, N. et al. Emotional distress drives health services overuse in patients with acute low back pain: a longitudinal observational study. Eur Spine J 25, 2767–2773 (2016). https://doi.org/10.1007/s00586-016-4461-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00586-016-4461-0