Healthcare utilization and related costs among older people seeking primary care due to back pain: findings from the BACE-N cohort study

Rikke Munk Killingmo, Kjersti Storheim, Danielle van der Windt, Zinajda Zolic-Karlsson, Ørjan Nesse Vigdal, Lise Kretz, Milada Cvancarova Småstuen, Margreth Grotle, Rikke Munk Killingmo, Kjersti Storheim, Danielle van der Windt, Zinajda Zolic-Karlsson, Ørjan Nesse Vigdal, Lise Kretz, Milada Cvancarova Småstuen, Margreth Grotle

Abstract

Objectives: To describe healthcare utilization and estimate associated costs during 1 year of follow-up among older people seeking primary care due to a new episode back pain and to describe healthcare utilization across patients with different risk profiles stratified using the StarT Back Screening Tool (SBST).

Design: Prospective cohort study.

Participants and setting: A total of 452 people aged ≥55 years seeking Norwegian primary care with a new episode of back pain were included.

Outcome measures: The primary outcome of this study was total cost of healthcare utilization aggregated for 1 year of follow-up. Secondary outcomes included components of healthcare utilization aggregated for 1 year of follow-up. Healthcare utilization was self-reported and included: primary care consultations, medications, examinations, hospitalisation, rehabilitation stay, and operations. Costs were estimated based on unit costs collected from national pricelists. Healthcare utilization across patients with different SBST risk profiles was compared using Kruskal-Wallis test, post hoc Mann-Whitney U tests and Bonferroni adjustment.

Results: In total, 438 patients were included in the analysis. Mean (BCa 95% CI) total cost per patient over 1 year was €825 (682-976). Median (BCa 95% CI) total cost was €364 (307-440). The largest cost category was primary care consultations, accounting for 56% of total costs. Imaging rate was 34%. The most commonly used medication was paracetamol (27%-35% of patients). Medium- and high-risk patients had a significantly higher degree of healthcare utilization compared with low-risk patients (p<0.030).

Conclusion: This study estimated a 1 year mean and median cost of healthcare utilization of €825 and €364, respectively. Patients within the top 25th percentile accounted for 77% of all costs. Patients classified as medium risk and high risk had a significantly higher degree of healthcare utilization compared with patients classified as low risk.

Trial registration number: ClinicalTrials.gov NCT04261309, results.

Keywords: back pain; epidemiology; health economics.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Participant flowchart.

References

    1. Hartvigsen J, Hancock MJ, Kongsted A, et al. . What low back pain is and why we need to pay attention. Lancet 2018;391:2356–67. 10.1016/S0140-6736(18)30480-X
    1. Buchbinder R, van Tulder M, Öberg B, et al. . Low back pain: a call for action. Lancet 2018;391:2384–8. 10.1016/S0140-6736(18)30488-4
    1. Deyo RA, Mirza SK, Martin BI. Back pain prevalence and visit rates: estimates from U.S. national surveys, 2002. Spine 2006;31:2724–7. 10.1097/
    1. Vos, T, GBD 2019 Diseases and Injuries Collaborators . Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the global burden of disease study 2019. Lancet 2020;396:1204–22. 10.1016/S0140-6736(20)30925-9
    1. Chen S, Chen M, Wu X, et al. . Global, regional and national burden of low back pain 1990-2019: a systematic analysis of the global burden of disease study 2019. J Orthop Translat 2022;32:49–58. 10.1016/j.jot.2021.07.005
    1. van Tulder M, Koes B, Bombardier C. Low back pain. Best Pract Res Clin Rheumatol 2002;16:761–75. 10.1053/berh.2002.0267
    1. Traeger AC, Buchbinder R, Elshaug AG, et al. . Care for low back pain: can health systems deliver? Bull World Health Organ 2019;97:423–33. 10.2471/BLT.18.226050
    1. Kinge JM, Knudsen AK, Skirbekk V, et al. . Musculoskeletal disorders in Norway: prevalence of chronicity and use of primary and specialist health care services. BMC Musculoskelet Disord 2015;16:1–9. 10.1186/s12891-015-0536-z
    1. Beyera GK, O'Brien J, Campbell S. Health-Care utilisation for low back pain: a systematic review and meta-analysis of population-based observational studies. Rheumatol Int 2019;39:1663–79. 10.1007/s00296-019-04430-5
    1. Jöud A, Petersson IF, Englund M. Low back pain: epidemiology of consultations. Arthritis Care Res 2012;64:1084–8. 10.1002/acr.21642
    1. Licciardone JC. The epidemiology and medical management of low back pain during ambulatory medical care visits in the United States. Osteopath Med Prim Care 2008;2:11. 10.1186/1750-4732-2-11
    1. Werner ELIA. Kunnskap, praksis OG holdninger TIL rygglidelser HOS leger, fysioterapeuter OG kiropraktorer. Tidsskr Nor Laegeforen 2005;125:1794–7.
    1. Kamper SJ, Logan G, Copsey B, et al. . What is usual care for low back pain? A systematic review of health care provided to patients with low back pain in family practice and emergency departments. Pain 2020;161:694–702. 10.1097/j.pain.0000000000001751
    1. Foster NE, Anema JR, Cherkin D, et al. . Prevention and treatment of low back pain: evidence, challenges, and promising directions. Lancet 2018;391:2368–83. 10.1016/S0140-6736(18)30489-6
    1. Corp N, Mansell G, Stynes S, et al. . Evidence-Based treatment recommendations for neck and low back pain across Europe: a systematic review of guidelines. Eur J Pain 2021;25:275–95. 10.1002/ejp.1679
    1. O'Connell NE, Cook CE, Wand BM, et al. . Clinical guidelines for low back pain: a critical review of consensus and inconsistencies across three major guidelines. Best Pract Res Clin Rheumatol 2016;30:968–80. 10.1016/j.berh.2017.05.001
    1. Hill JC, Dunn KM, Lewis M, et al. . A primary care back pain screening tool: identifying patient subgroups for initial treatment. Arthritis Rheum 2008;59:632–41. 10.1002/art.23563
    1. NICE . Low back pain and sciatica in over 16s: assessment and management. London: National Institute for Clinical Excellence, 2016.
    1. Hill JC, Whitehurst DGT, Lewis M, et al. . Comparison of stratified primary care management for low back pain with current best practice (start back): a randomised controlled trial. Lancet 2011;378:1560–71. 10.1016/S0140-6736(11)60937-9
    1. Hall JA, Jowett S, Lewis M, et al. . The start back stratified care model for nonspecific low back pain: a model-based evaluation of long-term cost-effectiveness. Pain 2021;162:702–10. 10.1097/j.pain.0000000000002057
    1. Maher C, Underwood M, Buchbinder R. Non-Specific low back pain. Lancet 2017;389:736–47. 10.1016/S0140-6736(16)30970-9
    1. Paeck T, Ferreira ML, Sun C, et al. . Are older adults missing from low back pain clinical trials? A systematic review and meta-analysis. Arthritis Care Res 2014;66:1220–6. 10.1002/acr.22261
    1. Bressler HB, Keyes WJ, Rochon PA, et al. . The prevalence of low back pain in the elderly. A systematic review of the literature. Spine 1999;24:1813–9. 10.1097/00007632-199909010-00011
    1. Scheele J, Luijsterburg PAJ, Ferreira ML, et al. . Back complaints in the elders (BACE); design of cohort studies in primary care: an international Consortium. BMC Musculoskelet Disord 2011;12:193. 10.1186/1471-2474-12-193
    1. Jarvik JG, Comstock BA, Bresnahan BW, et al. . Study protocol: the back pain outcomes using longitudinal data (BOLD) registry. BMC Musculoskelet Disord 2012;13:64. 10.1186/1471-2474-13-64
    1. Hemingway H, Croft P, Perel P, et al. . Prognosis research strategy (progress) 1: a framework for researching clinical outcomes. BMJ 2013;346:e5595. 10.1136/bmj.e5595
    1. Grotle M. BACk Pain in Elders in Norway (BACE-N), 2020. . Available:
    1. Ø V, Storheim K, GM. With what accuracy can we predict persistent disability in sciatica patients with self-reported screening tools? Oslo University College 2014. 10.1515/sjpain-2019-0112
    1. Bier JD, Ostelo RWJG, van Hooff ML, et al. . Validity and reproducibility of the start back tool (Dutch version) in patients with low back pain in primary care settings. Phys Ther 2017;97:561–70. 10.1093/ptj/pzx023
    1. Mehling WE, Avins AL, Acree MC, et al. . Can a back pain screening tool help classify patients with acute pain into risk levels for chronic pain? Eur J Pain 2015;19:439–46. 10.1002/ejp.615
    1. Suri P, Delaney K, Rundell SD, et al. . Predictive validity of the start back tool for risk of persistent disabling back pain in a U.S. primary care setting. Arch Phys Med Rehabil 2018;99:1533–9. 10.1016/j.apmr.2018.02.016
    1. Rattay P, Butschalowsky H, Rommel A, et al. . [Utilization of outpatient and inpatient health services in Germany: results of the German Health Interview and Examination Survey for Adults (DEGS1)]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2013;56:832–44. 10.1007/s00103-013-1665-x
    1. Wenig CM, Schmidt CO, Kohlmann T, et al. . Costs of back pain in Germany. Eur J Pain 2009;13:280–6. 10.1016/j.ejpain.2008.04.005
    1. Mutubuki EN, Luitjens MA, Maas ET, et al. . Predictive factors of high societal costs among chronic low back pain patients. Eur J Pain 2020;24:325–37. 10.1002/ejp.1488
    1. Chechulin Y, Nazerian A, Rais S, et al. . Predicting patients with high risk of becoming high-cost healthcare users in Ontario (Canada). Healthc Policy 2014;9:68–79. 10.12927/hcpol.2014.23710
    1. Hoebel J, Rattay P, Prütz F, et al. . Socioeconomic status and use of outpatient medical care: the case of Germany. PLoS One 2016;11:e0155982. 10.1371/journal.pone.0155982
    1. Lim K-L, Jacobs P, Klarenbach S. A population-based analysis of healthcare utilization of persons with back disorders: results from the Canadian community health survey 2000-2001. Spine 2006;31:212–8. 10.1097/01.brs.0000194773.10461.9f
    1. Fritz JM, Kim J, Dorius J. Importance of the type of provider seen to begin health care for a new episode low back pain: associations with future utilization and costs. J Eval Clin Pract 2016;22:247–52. 10.1111/jep.12464
    1. Engel CC, von Korff M, Katon WJ. Back pain in primary care: predictors of high health-care costs. Pain 1996;65:197–204. 10.1016/0304-3959(95)00164-6
    1. Ferreira ML, Machado G, Latimer J, et al. . Factors defining care-seeking in low back pain--a meta-analysis of population based surveys. Eur J Pain 2010;14:747.e1–747.e7. 10.1016/j.ejpain.2009.11.005
    1. Becker A, Held H, Redaelli M, et al. . Low back pain in primary care: costs of care and prediction of future health care utilization. Spine 2010;35:1714–20. 10.1097/brs.0b013e3181cd656f
    1. Lentz TA, Harman JS, Marlow NM, et al. . Factors associated with persistently high-cost health care utilization for musculoskeletal pain. PLoS One 2019;14:e0225125. 10.1371/journal.pone.0225125
    1. Von Korff M, Jensen MP, Karoly P. Assessing global pain severity by self-report in clinical and health services research. Spine 2000;25:3140–51. 10.1097/00007632-200012150-00009
    1. Roland M, Morris R. 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 1983;8:141–4. 10.1097/00007632-198303000-00004
    1. Stewart WF, Yan X, Boscarino JA, et al. . Patterns of health care utilization for low back pain. J Pain Res 2015;8:523–35. 10.2147/JPR.S83599
    1. Ritzwoller DP, Crounse L, Shetterly S, et al. . The association of comorbidities, utilization and costs for patients identified with low back pain. BMC Musculoskelet Disord 2006;7:72. 10.1186/1471-2474-7-72
    1. Sangha O, Stucki G, Liang MH, et al. . The self-administered comorbidity questionnaire: a new method to assess comorbidity for clinical and health services research. Arthritis Rheum 2003;49:156–63. 10.1002/art.10993
    1. Ware JE, Sherbourne CD. The mos 36-item short-form health survey (SF-36). I. conceptual framework and item selection. Med Care 1992;30:473–83.
    1. Keeley P, Creed F, Tomenson B, et al. . Psychosocial predictors of health-related quality of life and health service utilisation in people with chronic low back pain. Pain 2008;135:142–50. 10.1016/j.pain.2007.05.015
    1. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1977;1:355–85. 10.1177/014662167700100306
    1. Waddell G, Newton M, Henderson I, et al. . A Fear-Avoidance beliefs questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain 1993;52:157–68. 10.1016/0304-3959(93)90127-B
    1. Enthoven WTM, Geuze J, Scheele J, et al. . Prevalence and "Red Flags" Regarding Specified Causes of Back Pain in Older Adults Presenting in General Practice. Phys Ther 2016;96:305–12. 10.2522/ptj.20140525
    1. Verhagen AP, Downie A, Popal N, et al. . Red flags presented in current low back pain guidelines: a review. Eur Spine J 2016;25:2788–802. 10.1007/s00586-016-4684-0
    1. von Elm E, Altman DG, Egger M, et al. . The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. PLoS Med 2007;4:e296. 10.1371/journal.pmed.0040296
    1. Johnston KM, Lakzadeh P, Donato BMK, et al. . Methods of sample size calculation in descriptive retrospective burden of illness studies. BMC Med Res Methodol 2019;19:9. 10.1186/s12874-018-0657-9
    1. Zemedikun DT, Kigozi J, Wynne-Jones G, et al. . Methodological considerations in the assessment of direct and indirect costs of back pain: a systematic scoping review. PLoS One 2021;16:e0251406. 10.1371/journal.pone.0251406
    1. Dagenais S, Caro J, Haldeman S. A systematic review of low back pain cost of illness studies in the United States and internationally. Spine J 2008;8:8–20. 10.1016/j.spinee.2007.10.005
    1. Depont F, Hunsche E, Abouelfath A, et al. . Medical and non-medical direct costs of chronic low back pain in patients consulting primary care physicians in France. Fundam Clin Pharmacol 2010;24:101–8. 10.1111/j.1472-8206.2009.00730.x
    1. Hong J, Reed C, Novick D, et al. . Costs associated with treatment of chronic low back pain: an analysis of the UK general practice research database. Spine 2013;38:75–82. 10.1097/BRS.0b013e318276450f
    1. Ekman M, Jönhagen S, Hunsche E, et al. . Burden of illness of chronic low back pain in Sweden: a cross-sectional, retrospective study in primary care setting. Spine 2005;30:1777–85. 10.1097/01.brs.0000171911.99348.90
    1. Olafsson G, Jonsson E, Fritzell P, et al. . Cost of low back pain: results from a national register study in Sweden. Eur Spine J 2018;27:2875–81. 10.1007/s00586-018-5742-6
    1. Lambeek LC, van Tulder MW, Swinkels ICS, et al. . The trend in total cost of back pain in the Netherlands in the period 2002 to 2007. Spine 2011;36:1050–8. 10.1097/BRS.0b013e3181e70488
    1. Vlaeyen JWS, Maher CG, Wiech K, et al. . Low back pain. Nat Rev Dis Primers 2018;4:52. 10.1038/s41572-018-0052-1
    1. Wammes JJG, van der Wees PJ, Tanke MAC, et al. . Systematic review of high-cost patients' characteristics and healthcare utilisation. BMJ Open 2018;8:e023113. 10.1136/bmjopen-2018-023113
    1. Werner EL, Ihlebæk C. Primary care doctors' management of low back pain patients--ten years after. Tidsskr Nor Laegeforen 2012;132:2388–90. 10.4045/tidsskr.12.0395
    1. Patel ND, Broderick DF, Burns J, et al. . ACR Appropriateness criteria low back pain. J Am Coll Radiol 2016;13:1069–78. 10.1016/j.jacr.2016.06.008
    1. Henschke N, Maher CG, Refshauge KM, et al. . Prognosis in patients with recent onset low back pain in Australian primary care: inception cohort study. BMJ 2008;337:a171. 10.1136/bmj.a171
    1. Henschke N, Maher CG, Refshauge KM, et al. . Prevalence of and screening for serious spinal pathology in patients presenting to primary care settings with acute low back pain. Arthritis Rheum 2009;60:3072–80. 10.1002/art.24853
    1. Weiner DK, Kim Y-S, Bonino P, et al. . Low back pain in older adults: are we utilizing healthcare resources wisely? Pain Med 2006;7:143–50. 10.1111/j.1526-4637.2006.00112.x
    1. Machado GC, Abdel-Shaheed C, Underwood M, et al. . Non-Steroidal anti-inflammatory drugs (NSAIDs) for musculoskeletal pain. BMJ 2021;372:n104. 10.1136/bmj.n104
    1. McCarberg BH. Nsaids in the older patient: balancing benefits and harms. Pain Med 2013;14 Suppl 1:S43–4. 10.1111/pme.12253
    1. Muller AE, Clausen T, Sjøgren P, et al. . Prescribed opioid analgesic use developments in three Nordic countries, 2006-2017. Scand J Pain 2019;19:345–53. 10.1515/sjpain-2018-0307
    1. Franklin M, Lomas J, Walker S, et al. . An educational review about using cost data for the purpose of cost-effectiveness analysis. Pharmacoeconomics 2019;37:631–43. 10.1007/s40273-019-00771-y
    1. Leurent B, Gomes M, Carpenter JR. Missing data in trial-based cost-effectiveness analysis: an incomplete journey. Health Econ 2018;27:1024–40. 10.1002/hec.3654
    1. Briggs A, Clark T, Wolstenholme J, et al. . Missing presumed at random: cost-analysis of incomplete data. Health Econ 2003;12:377–92. 10.1002/hec.766
    1. Petrou S, Murray L, Cooper P, et al. . The accuracy of self-reported healthcare resource utilization in health economic studies. Int J Technol Assess Health Care 2002;18:705–10. 10.1017/S026646230200051X
    1. Icks A, Dittrich A, Brüne M, et al. . Agreement found between self-reported and health insurance data on physician visits comparing different recall lengths. J Clin Epidemiol 2017;82:167–72. 10.1016/j.jclinepi.2016.10.009
    1. Short ME, Goetzel RZ, Pei X, et al. . How accurate are self-reports? analysis of self-reported health care utilization and absence when compared with administrative data. J Occup Environ Med 2009;51:786–96. 10.1097/JOM.0b013e3181a86671
    1. Hunger M, Schwarzkopf L, Heier M, et al. . Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population. BMC Health Serv Res 2013;13:1. 10.1186/1472-6963-13-1
    1. Slagsvold B, Veenstra M, Daatland SO, et al. . Life-course, ageing and generations in Norway:the NorLAG study. Nor Epidemiol 2012;22. 10.5324/nje.v22i2.1554
    1. Vigdal Ørjan Nesse, Storheim K, Munk Killingmo R, et al. . Characteristics of older adults with back pain associated with choice of first primary care provider: a cross-sectional analysis from the BACE-N cohort study. BMJ Open 2021;11:e053229. 10.1136/bmjopen-2021-053229
    1. Grotle M, Brox JI, Glomsrød B, et al. . Prognostic factors in first-time care seekers due to acute low back pain. Eur J Pain 2007;11:290–8. 10.1016/j.ejpain.2006.03.004
    1. Nordstoga AL, Vasseljen O, Meisingset I, et al. . Improvement in work ability, psychological distress and pain sites in relation to low back pain prognosis: a longitudinal observational study in primary care. Spine 2019;44:423–9. 10.1097/BRS.0000000000002860
    1. Scheele J, Enthoven WTM, Bierma-Zeinstra SMA, et al. . Characteristics of older patients with back pain in general practice: BACE cohort study. Eur J Pain 2014;18:279–87. 10.1002/j.1532-2149.2013.00363.x
    1. Nations U . World Population Ageing 2019. In: Department of economic and social Affairs. New York: Population Division, 2020.
    1. Hofman A, Grobbee DE, de Jong PT, et al. . Determinants of disease and disability in the elderly: the Rotterdam elderly study. Eur J Epidemiol 1991;7:403–22. 10.1007/BF00145007

Source: PubMed

3
Suscribir