A digital health peri-operative cognitive-behavioral intervention to prevent transition from acute to chronic postsurgical pain in adolescents undergoing spinal fusion (SurgeryPalTM): study protocol for a multisite randomized controlled trial

Jennifer A Rabbitts, Chuan Zhou, Rocio de la Vega, Homer Aalfs, Caitlin B Murray, Tonya M Palermo, Jennifer A Rabbitts, Chuan Zhou, Rocio de la Vega, Homer Aalfs, Caitlin B Murray, Tonya M Palermo

Abstract

Background: Spinal fusion surgery is associated with severe acute postsurgical pain and high rates of chronic postsurgical pain in adolescents. Psychological distress, sleep disturbance, and low pain self-efficacy predict higher acute pain and likelihood of developing chronic postsurgical pain. Interventions targeting baseline psychosocial risk factors have potential to interrupt a negative trajectory of continued pain and poor health-related quality of life (HRQL) over time but have not yet been developed and evaluated. This randomized controlled trial will test effectiveness of a digital peri-operative cognitive-behavioral intervention (SurgeryPalTM) vs. education-control delivered to adolescents and their parents to improve acute and chronic pain and health outcomes in adolescents undergoing spine surgery.

Methods: Adolescents 12-18 years of age undergoing spinal fusion for idiopathic conditions, and their parent, will be recruited from pediatric centers across the USA, for a target complete sample of 400 dyads. Adolescents will be randomized into 4 study arms using a factorial design to SurgeryPalTM or education control during 2 phases of treatment: (1) pre-operative phase (one-month before surgery) and (2) post-operative phase (1 month after surgery). Acute pain severity and interference (primary acute outcomes) and opioid use will be assessed daily for 14 days following hospital discharge. Chronic pain severity and interference (primary acute outcomes), as well as HRQL, parent and adolescent distress, sleep quality, and opioid use/misuse (secondary outcomes), will be assessed at 3 months and 6 months post-surgery.

Discussion: Demonstration of effectiveness and understanding optimal timing of perioperative intervention will enable implementation of this scalable psychosocial intervention into perioperative care. Ultimately, the goal is to improve pain outcomes and reduce reliance on opioids in adolescents after spine surgery.

Trial registration: NCT04637802 ClinicalTrials.gov. Registered on November 20, 2020.

Keywords: Acute pain; Adolescent scoliosis; Chronic pain; Psychosocial intervention; Randomized controlled trial; mHealth.

Conflict of interest statement

The authors have no conflicts of interest to declare.

© 2021. The Author(s).

Figures

Fig. 1
Fig. 1
Study recruitment flow, intervention allocation, and outcomes collected
Fig. 2
Fig. 2
Screenshots from SurgeryPal teen mobile application showing a home screen, b lesson tab, c skills practice, and d symptom tracking

References

    1. Witt WP, Weiss AJ, Elixhauser A. Overview of hospital stays for children in the United States, 2012. Healthcare Cost and Utilization Project (HCUP) Statistical Briefs. Rockville (MD): Agency for Healthcare Research and Quality (US); 2006.
    1. Ferland CE, Parent AJ, Saran N, Ingelmo PM, Lacasse A, Marchand S, Sarret P, Ouellet JA. Preoperative norepinephrine levels in cerebrospinal fluid and plasma correlate with pain intensity after pediatric spine surgery. Spine Deform. 2017;5(5):325–333. doi: 10.1016/j.jspd.2017.03.012.
    1. Page MG, Stinson J, Campbell F, Isaac L, Katz J. Pain-related psychological correlates of pediatric acute post-surgical pain. J Pain Res. 2012;5:547–558. doi: 10.2147/JPR.S36614.
    1. Rabbitts JA, Groenewald CB, Tai GG, Palermo TM. Presurgical psychosocial predictors of acute postsurgical pain and quality of life in children undergoing major surgery. J Pain. 2015;16(3):226–234. doi: 10.1016/j.jpain.2014.11.015.
    1. Batoz H, Semjen F, Bordes-Demolis M, Benard A, Nouette-Gaulain K. Chronic postsurgical pain in children: prevalence and risk factors. A prospective observational study. Br J Anaesth. 2016;117(4):489–496. doi: 10.1093/bja/aew260.
    1. Connelly M, Fulmer RD, Prohaska J, Anson L, Dryer L, Thomas V, Ariagno JE, Price N, Schwend R. Predictors of postoperative pain trajectories in adolescent idiopathic scoliosis. Spine. 2014;39(3):E174–E181. doi: 10.1097/BRS.0000000000000099.
    1. Rabbitts JA, Zhou C, Groenewald CB, Durkin L, Palermo TM. Trajectories of postsurgical pain in children: risk factors and impact of late pain recovery on long-term health outcomes after major surgery. Pain. 2015;156(11):2383–2389. doi: 10.1097/j.pain.0000000000000281.
    1. Katz J, Seltzer Z. Transition from acute to chronic postsurgical pain: risk factors and protective factors. Expert Rev Neurother. 2009;9(5):723–744. doi: 10.1586/ern.09.20.
    1. Rabbitts JA, Palermo TM, Lang EA. A conceptual model of biopsychosocial mechanisms of transition from acute to chronic postsurgical pain in children and adolescents. J Pain Res. 2020. 10.2147/JPR.S239320.
    1. Rabbitts JA, Kain Z. Perioperative care for adolescents undergoing major surgery: a biopsychosocial conceptual framework. Anesthesia and Analgesia. 2019;In press (accepted for publication on 12/26/2018).
    1. Esteve R, Marquina-Aponte V, Ramirez-Maestre C. Postoperative pain in children: association between anxiety sensitivity, pain catastrophizing, and female caregivers' responses to children's pain. J Pain. 2014;15(2):157–168. doi: 10.1016/j.jpain.2013.10.007.
    1. Page MG, Campbell F, Isaac L, Stinson J, Katz J. Parental risk factors for the development of pediatric acute and chronic postsurgical pain: a longitudinal study. J Pain Res. 2013;6:727–741. doi: 10.2147/JPR.S51055.
    1. Rabbitts JA, Fisher E, Rosenbloom BN, Palermo TM. Prevalence and predictors of chronic postsurgical pain in children: a systematic review and meta-analysis. J Pain. 2017;18(6):605–614. doi: 10.1016/j.jpain.2017.03.007.
    1. Rabbitts JA, Palermo TM, Zhou C, Meyyappan A, Chen L. Psychosocial predictors of acute and chronic pain in adolescents undergoing major musculoskeletal surgery. J Pain. 2020;21(11-12):1236–1246. doi: 10.1016/j.jpain.2020.02.004.
    1. Rabbitts JA, Zhou C, Narayanan A, Palermo TM. Longitudinal and temporal associations between daily pain and sleep patterns after major pediatric surgery. J Pain. 2017;18(6):656–663. doi: 10.1016/j.jpain.2017.01.004.
    1. Davidson F, Snow S, Hayden JA, Chorney J. Psychological interventions in managing postoperative pain in children: a systematic review. Pain. 2016;157(9):1872–1886. doi: 10.1097/j.pain.0000000000000636.
    1. LaMontagne LL, Hepworth JT, Cohen F, Salisbury MH. Cognitive-behavioral intervention effects on adolescents' anxiety and pain following spinal fusion surgery. Nurs Res. 2003;52(3):183–190. doi: 10.1097/00006199-200305000-00008.
    1. Charette S, Fiola JL, Charest MC, Villeneuve E, Theroux J, Joncas J, et al. Guided imagery for adolescent post-spinal fusion pain management: a pilot study. Pain Manag Nurs. 2015;16(3):211–220. doi: 10.1016/j.pmn.2014.06.004.
    1. Palermo TM, Eccleston C, Lewandowski AS, Williams AC, Morley S. Randomized controlled trials of psychological therapies for management of chronic pain in children and adolescents: an updated meta-analytic review. Pain. 2010;148(3):387–397. doi: 10.1016/j.pain.2009.10.004.
    1. Palermo TM, de la Vega R, Dudeney J, Murray C, Law E. Mobile health intervention for self-management of adolescent chronic pain (WebMAP mobile): protocol for a hybrid effectiveness-implementation cluster randomized controlled trial. Contemp Clin Trials. 2018;74:55–60. doi: 10.1016/j.cct.2018.10.003.
    1. Palermo TM, Slack M, Zhou C, Aaron R, Fisher E, Rodriguez S. Waiting for a pediatric chronic pain clinic evaluation: a prospective study characterizing waiting times and symptom trajectories. J Pain. 2019;20(3):339-47.
    1. Peng P, Stinson JN, Choiniere M, Dion D, Intrater H, Lefort S, et al. Dedicated multidisciplinary pain management centres for children in Canada: the current status. Can J Anaesth. 2007;54(12):985–991. doi: 10.1007/BF03016632.
    1. Fisher E, Law E, Palermo TM, Eccleston C. Psychological therapies (remotely delivered) for the management of chronic and recurrent pain in children and adolescents. Cochrane Database Syst Rev. 2015;3:CD011118.
    1. Palermo TM, Law EF, Fales J, Bromberg MH, Jessen-Fiddick T, Tai G. Internet-delivered cognitive-behavioral treatment for adolescents with chronic pain and their parents: a randomized controlled multicenter trial. Pain. 2016;157(1):174–185. doi: 10.1097/j.pain.0000000000000348.
    1. Palermo TM, Wilson AC, Peters M, Lewandowski A, Somhegyi H. Randomized controlled trial of an Internet-delivered family cognitive-behavioral therapy intervention for children and adolescents with chronic pain. Pain. 2009;146(1-2):205–213. doi: 10.1016/j.pain.2009.07.034.
    1. Macea DD, Gajos K, Daglia Calil YA, Fregni F. The efficacy of Web-based cognitive behavioral interventions for chronic pain: a systematic review and meta-analysis. J Pain. 2010;11(10):917–929. doi: 10.1016/j.jpain.2010.06.005.
    1. McGrath PJ, Walco GA, Turk DC, Dworkin RH, Brown MT, Davidson K, Eccleston C, Finley GA, Goldschneider K, Haverkos L, Hertz SH, Ljungman G, Palermo T, Rappaport BA, Rhodes T, Schechter N, Scott J, Sethna N, Svensson OK, Stinson J, von Baeyer C, Walker L, Weisman S, White RE, Zajicek A, Zeltzer L, PedIMMPACT Core outcome domains and measures for pediatric acute and chronic/recurrent pain clinical trials: PedIMMPACT recommendations. J Pain. 2008;9(9):771–783. doi: 10.1016/j.jpain.2008.04.007.
    1. Accessed 10/27/2020.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–381. doi: 10.1016/j.jbi.2008.08.010.
    1. Cleeland C, Ryan K. Pain assessment: global use of the Brief Pain Inventory. Ann Acad Med Singapore. 1994;23(2):129–138.
    1. Rabbitts JA, Groenewald CB, Zhou C. Subacute pain trajectories following major musculoskeletal surgery in adolescents: a pilot study. Can J Pain. 2020; In press.
    1. Chan KS, Mangione-Smith R, Burwinkle TM, Rosen M, Varni JW. The PedsQL: reliability and validity of the short-form generic core scales and Asthma Module. Med Care. 2005;43(3):256–265. doi: 10.1097/00005650-200503000-00008.
    1. Varni JW, Seid M, Kurtin PS. PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations. Med Care. 2001;39(8):800–812. doi: 10.1097/00005650-200108000-00006.
    1. Gryczynski J, Kelly SM, Mitchell SG, Kirk A, O'grady KE, Schwartz RP. Validation and performance of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) among adolescent primary care patients. Addiction. 2015;110(2):240–247. doi: 10.1111/add.12767.
    1. National Institute on Drug Abuse N. Chart of Evidence-Based Screening Tools for Adults and Adolescents. 2015. Retrieved from: . Accessed 7 Jan 2021.
    1. Miech RA, Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE. Monitoring the Future national survey results on drug use, 1975-2014: Volume I, Secondary school students. Ann Arbor: Institute for Social Research, The University of Michigan; 2015. p. 599.
    1. Irwin DE, Stucky B, Langer MM, Thissen D, Dewitt EM, Lai JS, et al. An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales. Qual Life Res. 2010;19(4):595–607. doi: 10.1007/s11136-010-9619-3.
    1. Lowe B, Wahl I, Rose M, Spitzer C, Glaesmer H, Wingenfeld K, et al. A 4-item measure of depression and anxiety: validation and standardization of the Patient Health Questionnaire-4 (PHQ-4) in the general population. J Affect Disord. 2010;122(1-2):86–95. doi: 10.1016/j.jad.2009.06.019.
    1. Crombez G, Bijttebier P, Eccleston C, Mascagni T, Mertens G, Goubert L, Verstraeten K. The child version of the pain catastrophizing scale (PCS-C): a preliminary validation. Pain. 2003;104(3):639–646. doi: 10.1016/S0304-3959(03)00121-0.
    1. Goubert L, Eccleston C, Vervoort T, Jordan A, Crombez G. Parental catastrophizing about their child's pain. The parent version of the Pain Catastrophizing Scale (PCS-P): a preliminary validation. Pain. 2006;123(3):254–263. doi: 10.1016/j.pain.2006.02.035.
    1. Essner B, Noel M, Myrvik M, Palermo T. Examination of the factor structure of the Adolescent Sleep-Wake Scale (ASWS) Behav Sleep Med. 2015;13(4):296–307. doi: 10.1080/15402002.2014.896253.
    1. Meltzer LJ, Avis KT, Biggs S, Reynolds AC, Crabtree VM, Bevans KB. The Children’s Report of Sleep Patterns (CRSP): a self-report measure of sleep for school-aged children. J Clin Sleep Med. 2013;9(3):235–245. doi: 10.5664/jcsm.2486.
    1. Keller S, Bann CM, Dodd SL, Schein J, Mendoza TR, Cleeland CS. Validity of the brief pain inventory for use in documenting the outcomes of patients with noncancer pain. Clin J Pain. 2004;20(5):309–318. doi: 10.1097/00002508-200409000-00005.
    1. Kelley ML, Heffer RW, Gresham FM, Elliott SN. Development of a modified treatment evaluation inventory. J Psychopathol Behav Assessment. 1989;11(3):235–247. doi: 10.1007/BF00960495.
    1. Rabbitts JA, Aaron RV, Fisher E, Lang EA, Bridgwater C, Tai GG, Palermo TM. Long-term pain and recovery after major pediatric surgery: a qualitative study with teens, parents, and perioperative care providers. J Pain. 2017;18(7):778–786. doi: 10.1016/j.jpain.2017.02.423.
    1. Nahin RL. Estimates of pain prevalence and severity in adults: United States, 2012. J Pain. 2015;16(8):769–780. doi: 10.1016/j.jpain.2015.05.002.
    1. King S, Chambers CT, Huguet A, MacNevin RC, McGrath PJ, Parker L, et al. The epidemiology of chronic pain in children and adolescents revisited: a systematic review. Pain. 2011;152(12):2729–2738. doi: 10.1016/j.pain.2011.07.016.
    1. National Center for Health Statistics CfDCaP. Data Brief 329. Drug overdose deaths in the United States, 1999–2017. . Accessed October 27, 2020.
    1. Volkow ND, McLellan AT. Opioid abuse in chronic pain--misconceptions and mitigation strategies. N Engl J Med. 2016;374(13):1253–1263. doi: 10.1056/NEJMra1507771.
    1. Chambers RA, Taylor JR, Potenza MN. Developmental neurocircuitry of motivation in adolescence: a critical period of addiction vulnerability. Am J Psychiatry. 2003;160(6):1041–1052. doi: 10.1176/appi.ajp.160.6.1041.
    1. Rosenbloom BN, Rabbitts JA, Palermo TM. A developmental perspective on the impact of chronic pain in late adolescence and early adulthood: implications for assessment and intervention. Pain. 2017;158(9):1629–1632. doi: 10.1097/j.pain.0000000000000888.
    1. Kashikar-Zuck S, Cunningham N, Sil S, Bromberg MH, Lynch-Jordan AM, Strotman D, Peugh J, Noll J, Ting TV, Powers SW, Lovell DJ, Arnold LM. Long-term outcomes of adolescents with juvenile-onset fibromyalgia in early adulthood. Pediatrics. 2014;133(3):e592–e600. doi: 10.1542/peds.2013-2220.
    1. Groenewald CB, Law EF, Fisher E, Beals-Erickson SE, Palermo TM. Associations between adolescent chronic pain and prescription opioid misuse in adulthood. J Pain. 2019;20(1):28–37. doi: 10.1016/j.jpain.2018.07.007.
    1. Harbaugh CM, Lee JS, Hu HM, McCabe SE, Voepel-Lewis T, Englesbe MJ, et al. Persistent opioid use among pediatric patients after surgery. Pediatrics. 2018;141(1):e20172439.

Source: PubMed

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