The effect of a Life Care Specialist on pain management and opioid-related outcomes among patients with orthopedic trauma: study protocol for a randomized controlled trial

Nicholas A Giordano, Jesse Seilern Und Aspang, J'Lynn Baker, Cammie Wolf Rice, Bailey Barrell, Lauren Kirk, Erika Ortega, Michelle Wallace, Alaina Steck, Mara L Schenker, Nicholas A Giordano, Jesse Seilern Und Aspang, J'Lynn Baker, Cammie Wolf Rice, Bailey Barrell, Lauren Kirk, Erika Ortega, Michelle Wallace, Alaina Steck, Mara L Schenker

Abstract

Background: Orthopedic trauma patients face complex pain management needs and are frequently prescribed opioids, leaving them at-risk for prolonged opioid use. To date, post-trauma pain management research has placed little emphasis on individualized risk assessments for misuse and systematically implementing non-pharmacologic pain management strategies. Therefore, a community-academic partnership was formed to design a novel position in the healthcare field (Life Care Specialist (LCS)), who will educate patients on the risks of opioids, tapering usage, safe disposal practices, and harm reduction strategies. In addition, the LCS teaches patients behavior-based strategies for pain management, utilizing well-described techniques for coping and resilience. This study aims to determine the effects of LCS intervention on opioid utilization, pain control, and patient satisfaction in the aftermath of orthopedic trauma.

Methods: In total, 200 orthopedic trauma patients will be randomized to receive an intervention (LCS) or a standard-of-care control at an urban level 1 trauma center. All patients will be assessed with comprehensive social determinants of health and substance use surveys immediately after surgery (baseline). Follow-up assessments will be performed at 2, 6, and 12 weeks postoperatively, and will include pain medication utilization (morphine milligram equivalents), pain scores, and other substance use. In addition, overall patient wellness will be evaluated with objective actigraphy measures and patient-reported outcomes. Finally, a survey of patient understanding of risks of opioid use and misuse will be collected, to assess the influence of LCS opioid education.

Discussion: There is limited data on the role of individualized, multimodal, non-pharmacologic, behavioral-based pain management intervention in opioid-related risk-mitigation in high-risk populations, including the orthopedic trauma patients. The findings from this randomized controlled trial will provide scientific and clinical evidence on the efficacy and feasibility of the LCS intervention. Moreover, the final aim will provide early evidence into which patients benefit most from LCS intervention.

Trial registration: ClinicalTrials.gov NCT04154384 . Registered on 11/6/2019 (last updated on 6/10/2021).

Keywords: Life Care Specialist; Opioid epidemic; Opioid use disorder; Opioid utilization; Orthopedic trauma; Pain management; Patient-reported outcomes; Substance misuse.

Conflict of interest statement

The authors declare that they have no competing interests.

© 2021. The Author(s).

Figures

Fig. 1
Fig. 1
Life Care Specialist interventions
Fig. 2
Fig. 2
SPIRIT study schedule. EHR, Electronic health record data; LCS, Life Care Specialist; SDOH, Comprehensive Social Determinants of Health (SDOH) Survey; ORT, Revised Opioid Risk Tool; PMQ, Pain Management Questionnaire; PDUQ, Prescription Drug Use Questionnaire; PROMIS, Patient-Reported Outcomes Measurement Information System; PTSD, post-traumatic stress disorder; DSM-V, Diagnostic and Statistical Manual of Mental Disorders, 5th Edition; NRS, numeric rating scale. * Weeks after discharge ± 7 days

References

    1. Hedegaard H, Miniño AM, Warner M. Drug overdose deaths in the United States, 1999-2018. NCHS. Data Brief. 2020;1(356):1–8.
    1. Wide-ranging online data for epidemiologic research (WONDER). Atlanta, GA: CDC, National Center for Health Statistics; 2020. Available at .
    1. Rudd RA, Aleshire N, Zibbell JE, Gladden RM. Increases in drug and opioid overdose deaths--United States, 2000-2014. MMWR Morb Mortal Wkly Rep. 2016;64(50-51):1378–1382. doi: 10.15585/mmwr.mm6450a3.
    1. Castillo RC, Raja SN, Frey KP, Vallier HA, Tornetta P, 3rd, Jaeblon T, et al. Improving pain management and long-term outcomes following high-energy orthopaedic trauma (pain study) J Orthop Trauma. 2017;31 Suppl 1:S71–Ss7. doi: 10.1097/BOT.0000000000000793.
    1. Wiznia DH, Zaki T, Leslie MP, Halaszynski TM. Complexities of perioperative pain management in orthopedic trauma. Curr Pain Headache Rep. 2018;22(9):58. doi: 10.1007/s11916-018-0713-5.
    1. Wiznia DH, Zaki T, Maisano J, Kim CY, Halaszynski TM, Leslie MP. Influence of medical insurance under the affordable care act on access to pain management of the trauma patient. Reg Anesth Pain Med. 2017;42(1):39–44. doi: 10.1097/AAP.0000000000000502.
    1. Edgley C, Hogg M, De Silva A, Braat S, Bucknill A, Leslie K. Severe acute pain and persistent post-surgical pain in orthopaedic trauma patients: a cohort study. Br J Anaesth. 2019;123(3):350–359. doi: 10.1016/j.bja.2019.05.030.
    1. McCrabb S, Baker AL, Attia J, Balogh ZJ, Lott N, Palazzi K, Naylor J, Harris IA, Doran CM, George J, Wolfenden L, Skelton E, Bonevski B. Comorbid tobacco and other substance use and symptoms of anxiety and depression among hospitalised orthopaedic trauma patients. BMC Psychiatry. 2019;19(1):28. doi: 10.1186/s12888-019-2021-y.
    1. Shymon SJ, Arthur D, Keeling P, Rashidi S, Kwong LM, Andrawis JP. Current illicit drug use profile of orthopaedic trauma patients and its effect on hospital length of stay. Injury. 2020;51(4):887–891. doi: 10.1016/j.injury.2020.02.077.
    1. Zedler BK, Saunders WB, Joyce AR, Vick CC, Murrelle EL. Validation of a screening risk index for serious prescription opioid-induced respiratory depression or overdose in a US commercial health plan claims database. Pain Med. 2018;19(1):68–78. doi: 10.1093/pm/pnx009.
    1. Holman JE, Stoddard GJ, Higgins TF. Rates of prescription opiate use before and after injury in patients with orthopaedic trauma and the risk factors for prolonged opiate use. J Bone Joint Surg Am. 2013;95(12):1075–1080. doi: 10.2106/JBJS.L.00619.
    1. Sun EC, Darnall BD, Baker LC, Mackey S. Incidence of and risk factors for chronic opioid use among opioid-naive patients in the postoperative period. JAMA Intern Med. 2016;176(9):1286–1293. doi: 10.1001/jamainternmed.2016.3298.
    1. Rose ME. Are prescription opioids driving the opioid crisis? Assumptions vs Facts. Pain Med. 2018;19(4):793–807. doi: 10.1093/pm/pnx048.
    1. Ruder J, Wally MK, Oliverio M, Seymour RB, Hsu JR. Patterns of opioid prescribing for an orthopaedic trauma population. J Orthop Trauma. 2017;31(6):e179–ee85. doi: 10.1097/BOT.0000000000000834.
    1. Rhodes E, Wilson M, Robinson A, Hayden JA, Asbridge M. The effectiveness of prescription drug monitoring programs at reducing opioid-related harms and consequences: a systematic review. BMC Health Serv Res. 2019;19(1):784. doi: 10.1186/s12913-019-4642-8.
    1. McCarthy DM, Curtis LM, Courtney DM, Cameron KA, Lank PM, Kim HS, et al. A multifaceted intervention to improve patient knowledge and safe use of opioids: results of the ED EMC(2) randomized controlled trial. Acad Emerg Med. 2019;26(12):1311–1325. doi: 10.1111/acem.13860.
    1. Gewandter JS, Dworkin RH, Turk DC, Devine EG, Hewitt D, Jensen MP, Katz NP, Kirkwood AA, Malamut R, Markman JD, Vrijens B, Burke L, Campbell JN, Carr DB, Conaghan PG, Cowan P, Doyle MK, Edwards RR, Evans SR, Farrar JT, Freeman R, Gilron I, Juge D, Kerns RD, Kopecky EA, McDermott MP, Niebler G, Patel KV, Rauck R, Rice ASC, Rowbotham M, Sessler NE, Simon LS, Singla N, Skljarevski V, Tockarshewsky T, Vanhove GF, Wasan AD, Witter J. Improving Study Conduct and Data Quality in Clinical Trials of Chronic Pain Treatments: IMMPACT Recommendations. J Pain. 2020;21(9):931–942. doi: 10.1016/j.jpain.2019.12.003.
    1. Bailey SC, Oramasionwu CU, Wolf MS. Rethinking adherence: a health literacy-informed model of medication self-management. J Health Commun. 2013;18 Suppl 1(Suppl 1):20–30. doi: 10.1080/10810730.2013.825672.
    1. Khorfan R, Shallcross ML, Yu B, Sanchez N, Parilla S, Coughlin JM, Johnson JK, Bilimoria KY, Stulberg JJ. Preoperative patient education and patient preparedness are associated with less postoperative use of opioids. Surgery. 2020;167(5):852–858. doi: 10.1016/j.surg.2020.01.002.
    1. Sabesan VJ, Chatha K, Koen S, Dawoud M, Gilot G. Innovative patient education and pain management protocols to achieve opioid-free shoulder arthroplasty. JSES Int. 2020;4(2):362–365. doi: 10.1016/j.jseint.2020.01.005.
    1. Smith DH, Kuntz JL, DeBar LL, Mesa J, Yang X, Schneider J, Petrik A, Reese K, Thorsness LA, Boardman D, Johnson ES. A randomized, pragmatic, pharmacist-led intervention reduced opioids following orthopedic surgery. Am J Manag Care. 2018;24(11):515–521.
    1. Syed UAM, Aleem AW, Wowkanech C, Weekes D, Freedman M, Tjoumakaris F, Abboud JA, Austin LS. Neer Award 2018: the effect of preoperative education on opioid consumption in patients undergoing arthroscopic rotator cuff repair: a prospective, randomized clinical trial. J Shoulder Elbow Surg. 2018;27(6):962–967. doi: 10.1016/j.jse.2018.02.039.
    1. Tedesco D, Gori D, Desai KR, Asch S, Carroll IR, Curtin C, McDonald KM, Fantini MP, Hernandez-Boussard T. Drug-free interventions to reduce pain or opioid consumption after total knee arthroplasty: a systematic review and meta-analysis. JAMA Surg. 2017;152(10):e172872. doi: 10.1001/jamasurg.2017.2872.
    1. Wolf Rice, C. Christopher Wolf Crusade, 2020, cwc.ngo/. Accessed on Feb. 10th. 2020.
    1. Hsu JR, Mir H, Wally MK, Seymour RB. Clinical practice guidelines for pain management in acute musculoskeletal injury. J Orthop Trauma. 2019;33(5):e158–ee82. doi: 10.1097/BOT.0000000000001430.
    1. Bandstra NF, Skinner L, Leblanc C, Chambers CT, Hollon EC, Brennan D, et al. The role of child life in pediatric pain management: a survey of child life specialists. J Pain. 2008;9(4):320–329. doi: 10.1016/j.jpain.2007.11.004.
    1. Sanchez Cristal N, Staab J, Chatham R, Ryan S, McNair B, Grubenhoff JA. Child life reduces distress and pain and improves family satisfaction in the pediatric emergency department. Clin Pediatr (Phila). 2018;57(13):1567–1575. doi: 10.1177/0009922818798386.
    1. Macdonald V, Verster A, Baggaley R. A call for differentiated approaches to delivering HIV services to key populations. J Int AIDS Soc. 2017;20(Suppl 4):21658. doi: 10.7448/IAS.20.5.21658.
    1. Natale-Pereira A, Enard KR, Nevarez L, Jones LA. The role of patient navigators in eliminating health disparities. Cancer. 2011;117(15 Suppl):3543–3552. doi: 10.1002/cncr.26264.
    1. Kelly T, Hoppe JA, Zuckerman M, Khoshnoud A, Sholl B, Heard K. A novel social work approach to emergency department buprenorphine induction and warm hand-off to community providers. Am J Emerg Med. 2020;38(6):1286–1290. doi: 10.1016/j.ajem.2019.12.038.
    1. McGuire AB, Powell KG, Treitler PC, Wagner KD, Smith KP, Cooperman N, et al. Emergency department-based peer support for opioid use disorder: emergent functions and forms. J Subst Abuse Treat. 2020;108:82–87. doi: 10.1016/j.jsat.2019.06.013.
    1. Kalauokalani D, Franks P, Oliver JW, Meyers FJ, Kravitz RL. Can patient coaching reduce racial/ethnic disparities in cancer pain control? Secondary analysis of a randomized controlled trial. Pain Med. 2007;8(1):17–24. doi: 10.1111/j.1526-4637.2007.00170.x.
    1. Miller-Karas E. Building resilience to trauma: the trauma and community resiliency models (1st ed.). Routledge. 2015.
    1. Miller-Karas ECS. Community Resiliency Model Evaluation, California Mental Health Services Act. 2013.
    1. Miller-Karas E. Building resilience to trauma: The trauma and community resiliency models. 2015.
    1. Bernstein D, Borkovec T, editors. Progressive Relaxation training: a manual for the helping professions. 1973.
    1. Cawthorn A, Mackereth PA. Integrative hypnotherapy: complementary approaches in clinical care. UK: Churchill Livingstone; 2010.
    1. Grabbe L, Higgins MK, Baird M, Craven PA, San FS. The Community Resiliency Model® to promote nurse well-being. Nurs Outlook. 2020;68(3):324–336. doi: 10.1016/j.outlook.2019.11.002.
    1. Grabbe L, Miller-Karas E. The trauma resiliency model: a “bottom-up” intervention for trauma psychotherapy. J Am Psychiatr Nurses Assoc. 2018;24(1):76–84. doi: 10.1177/1078390317745133.
    1. Miller W, Rollnick S. Motivational interviewing: preparing people for change, 2nd ed. J Healthcare Qual (JHQ). 2003;25(3):46. doi: 10.1097/01445442-200305000-00013.
    1. Moseley GL, Butler DS. Fifteen years of explaining pain: the past, present, and future. J Pain. 2015;16(9):807–813. doi: 10.1016/j.jpain.2015.05.005.
    1. Chan AW, Tetzlaff JM, Gøtzsche PC, Altman DG, Mann H, Berlin JA, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346(jan08 15):e7586. doi: 10.1136/bmj.e7586.
    1. Farrar JT, Pritchett YL, Robinson M, Prakash A, Chappell A. The clinical importance of changes in the 0 to 10 numeric rating scale for worst, least, and average pain intensity: analyses of data from clinical trials of duloxetine in pain disorders. J Pain. 2010;11(2):109–118. doi: 10.1016/j.jpain.2009.06.007.
    1. Jensen RE, Potosky AL, Reeve BB, Hahn E, Cella D, Fries J, Smith AW, Keegan THM, Wu XC, Paddock L, Moinpour CM. Validation of the PROMIS physical function measures in a diverse US population-based cohort of cancer patients. Qual Life Res. 2015;24(10):2333–2344. doi: 10.1007/s11136-015-0992-9.
    1. Schalet BD, Hays RD, Jensen SE, Beaumont JL, Fries JF, Cella D. Validity of PROMIS physical function measured in diverse clinical samples. J Clin Epidemiol. 2016;73:112–118. doi: 10.1016/j.jclinepi.2015.08.039.
    1. Askew RL, Cook KF, Revicki DA, Cella D, Amtmann D. Evidence from diverse clinical populations supported clinical validity of PROMIS pain interference and pain behavior. J Clin Epidemiol. 2016;73:103–111. doi: 10.1016/j.jclinepi.2015.08.035.
    1. Chen CX, Kroenke K, Stump T, Kean J, Krebs EE, Bair MJ, Damush T, Monahan PO. Comparative responsiveness of the PROMIS Pain Interference Short Forms With Legacy Pain Measures: results from three randomized clinical trials. J Pain. 2019;20(6):664–675. doi: 10.1016/j.jpain.2018.11.010.
    1. Raichle KA, Osborne TL, Jensen MP, Cardenas D. The reliability and validity of pain interference measures in persons with spinal cord injury. J Pain. 2006;7(3):179–186. doi: 10.1016/j.jpain.2005.10.007.
    1. Stone AA, Broderick JE, Junghaenel DU, Schneider S, Schwartz JE. PROMIS fatigue, pain intensity, pain interference, pain behavior, physical function, depression, anxiety, and anger scales demonstrate ecological validity. J Clin Epidemiol. 2016;74:194–206. doi: 10.1016/j.jclinepi.2015.08.029.
    1. Yu L, Buysse DJ, Germain A, Moul DE, Stover A, Dodds NE, Johnston KL, Pilkonis PA. Development of short forms from the PROMIS™ sleep disturbance and Sleep-Related Impairment item banks. Behav Sleep Med. 2011;10(1):6–24. doi: 10.1080/15402002.2012.636266.
    1. Cook KF, Buckenmaier C, 3rd, Gershon RC. PASTOR/PROMIS® pain outcomes system: what does it mean to pain specialists? Pain Manag. 2014;4(4):277–283. doi: 10.2217/pmt.14.25.
    1. Committee on the Recommended S. Behavioral D. Measures for Electronic Health R. Board on Population H. Public Health P. Institute of M. The National Academies Collection . Reports funded by National Institutes of Health. Capturing Social and Behavioral Domains in Electronic Health Records: Phase 1. Washington (DC): National Academies Press (US) Copyright 2014 by the National Academy of Sciences; 2014.
    1. O'Gurek DT, Henke C. A practical approach to screening for social determinants of health. Fam Pract Manag. 2018;25(3):7–12.
    1. Prins A, Bovin MJ, Smolenski DJ, Marx BP, Kimerling R, Jenkins-Guarnieri MA, Kaloupek DG, Schnurr PP, Kaiser AP, Leyva YE, Tiet QQ. The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5): Development and Evaluation Within a Veteran Primary Care Sample. J Gen Intern Med. 2016;31(10):1206–1211. doi: 10.1007/s11606-016-3703-5.
    1. Cheatle MD, Compton PA, Dhingra L, Wasser TE, O'Brien CP. Development of the revised Opioid Risk Tool to predict opioid use disorder in patients with chronic nonmalignant pain. J Pain. 2019;20(7):842–851. doi: 10.1016/j.jpain.2019.01.011.
    1. Webster LR, Webster RM. Predicting aberrant behaviors in opioid-treated patients: preliminary validation of the Opioid Risk Tool. Pain Med. 2005;6(6):432–442. doi: 10.1111/j.1526-4637.2005.00072.x.
    1. Williams AV, Strang J, Marsden J. Development of Opioid Overdose Knowledge (OOKS) and Attitudes (OOAS) Scales for take-home naloxone training evaluation. Drug Alcohol Depend. 2013;132(1-2):383–386. doi: 10.1016/j.drugalcdep.2013.02.007.
    1. An DSJ, Wong J, Suen C, Mir S, Englesakis M. The utility of actigraphy to measure sleep in chronic pain patients and its concordance with other sleep measures: a systematic review and meta-analysis. J Sleep Disord Ther. 2020;9(308):2167–0277.
    1. Smith MT, McCrae CS, Cheung J, Martin JL, Harrod CG, Heald JL, et al. Use of actigraphy for the evaluation of sleep disorders and circadian rhythm sleep-wake disorders: an American Academy of Sleep Medicine Systematic Review, Meta-Analysis, and GRADE Assessment. J Clin Sleep Med. 2018;14(7):1209–1230. doi: 10.5664/jcsm.7228.
    1. Choi L, Liu Z, Matthews CE, Buchowski MS. Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc. 2011;43(2):357–364. doi: 10.1249/MSS.0b013e3181ed61a3.
    1. Cole RJ, Kripke DF, Gruen W, Mullaney DJ, Gillin JC. Automatic sleep/wake identification from wrist activity. Sleep. 1992;15(5):461–469. doi: 10.1093/sleep/15.5.461.
    1. Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc. 1998;30(5):777–781. doi: 10.1097/00005768-199805000-00021.
    1. Berger AM, Wielgus KK, Young-McCaughan S, Fischer P, Farr L, Lee KA. Methodological challenges when using actigraphy in research. J Pain Symptom Manage. 2008;36(2):191–199. doi: 10.1016/j.jpainsymman.2007.10.008.
    1. Friedman J, Hastie T, Tibshirani R. Sparse inverse covariance estimation with the graphical lasso. Biostatistics. 2008;9(3):432–441. doi: 10.1093/biostatistics/kxm045.
    1. Tibshirani R. Regression Shrinkage and Selection via the Lasso. J Royal Stat Soc Series B (Methodological). 1996;58(1):267–288. doi: 10.1111/j.2517-6161.1996.tb02080.x.
    1. Finley EP, Garcia A, Rosen K, McGeary D, Pugh MJ, Potter JS. Evaluating the impact of prescription drug monitoring program implementation: a scoping review. BMC Health Serv Res. 2017;17(1):420. doi: 10.1186/s12913-017-2354-5.
    1. Mauri AI, Townsend TN, Haffajee RL. The association of state opioid misuse prevention policies with patient- and provider-related outcomes: a scoping review. Milbank Q. 2020;98(1):57–105. doi: 10.1111/1468-0009.12436.
    1. Moyo P, Simoni-Wastila L, Griffin BA, Onukwugha E, Harrington D, Alexander GC, Palumbo F. Impact of prescription drug monitoring programs (PDMPs) on opioid utilization among Medicare beneficiaries in 10 US States. Addiction. 2017;112(10):1784–1796. doi: 10.1111/add.13860.
    1. Rutkow L, Smith KC, Lai AY, Vernick JS, Davis CS, Alexander GC. Prescription drug monitoring program design and function: a qualitative analysis. Drug Alcohol Depend. 2017;180:395–400. doi: 10.1016/j.drugalcdep.2017.08.040.
    1. Centers for Disease Control and Prevention. Prescription opioid data. Available at: . Accessed January 21, 2021.
    1. Scholl L, Seth P, Kariisa M, Wilson N, Baldwin G. Drug and Opioid-Involved Overdose Deaths - United States, 2013-2017. MMWR Morb Mortal Wkly Rep. 2018;67(5152):1419–1427. doi: 10.15585/mmwr.mm675152e1.
    1. Dowell D, Haegerich TM, Chou R. CDC Guideline for prescribing opioids for chronic pain--United States, 2016. JAMA. 2016;315(15):1624–1645. doi: 10.1001/jama.2016.1464.
    1. McCarthy DM, Cameron KA, King JP, Mullen RJ, Bailey SC, Jacobson KL, et al. Patient recall of health care provider counseling for opioid-acetaminophen prescriptions. Pain Med. 2014;15(10):1750–1756. doi: 10.1111/pme.12499.
    1. Mannelli P, Wu LT, Peindl KS, Gorelick DA. Smoking and opioid detoxification: behavioral changes and response to treatment. Nicotine Tob Res. 2013;15(10):1705–1713. doi: 10.1093/ntr/ntt046.
    1. Morris CD, Garver-Apgar CE. Nicotine and opioids: a call for co-treatment as the standard of care. J Behav Health Serv Res. 2020;47(4):601–613. doi: 10.1007/s11414-020-09712-6.

Source: PubMed

3
Abonnieren