Acceptance and Commitment Therapy Delivered via a Mobile Phone Messaging Robot to Decrease Postoperative Opioid Use in Patients With Orthopedic Trauma: Randomized Controlled Trial

Chris A Anthony, Edward Octavio Rojas, Valerie Keffala, Natalie Ann Glass, Apurva S Shah, Benjamin J Miller, Matthew Hogue, Michael C Willey, Matthew Karam, John Lawrence Marsh, Chris A Anthony, Edward Octavio Rojas, Valerie Keffala, Natalie Ann Glass, Apurva S Shah, Benjamin J Miller, Matthew Hogue, Michael C Willey, Matthew Karam, John Lawrence Marsh

Abstract

Background: Acceptance and commitment therapy (ACT) is a pragmatic approach to help individuals decrease avoidable pain.

Objective: This study aims to evaluate the effects of ACT delivered via an automated mobile messaging robot on postoperative opioid use and patient-reported outcomes (PROs) in patients with orthopedic trauma who underwent operative intervention for their injuries.

Methods: Adult patients presenting to a level 1 trauma center who underwent operative fixation of a traumatic upper or lower extremity fracture and who used mobile phone text messaging were eligible for the study. Patients were randomized in a 1:1 ratio to either the intervention group, who received twice-daily mobile phone messages communicating an ACT-based intervention for the first 2 weeks after surgery, or the control group, who received no messages. Baseline PROs were completed. Two weeks after the operative intervention, follow-up was performed in the form of an opioid medication pill count and postoperative administration of PROs. The mean number of opioid tablets used by patients was calculated and compared between groups. The mean PRO scores were also compared between the groups.

Results: A total of 82 subjects were enrolled in the study. Of the 82 participants, 76 (38 ACT and 38 controls) completed the study. No differences between groups in demographic factors were identified. The intervention group used an average of 26.1 (SD 21.4) opioid tablets, whereas the control group used 41.1 (SD 22.0) tablets, resulting in 36.5% ([41.1-26.1]/41.1) less tablets used by subjects receiving the mobile phone-based ACT intervention (P=.004). The intervention group subjects reported a lower postoperative Patient-Reported Outcome Measure Information System Pain Intensity score (mean 45.9, SD 7.2) than control group subjects (mean 49.7, SD 8.8; P=.04).

Conclusions: In this study, the delivery of an ACT-based intervention via an automated mobile messaging robot in the acute postoperative period decreased opioid use in selected patients with orthopedic trauma. Participants receiving the ACT-based intervention also reported lower pain intensity after 2 weeks, although this may not represent a clinically important difference.

Trial registration: ClinicalTrials.gov NCT03991546; https://ichgcp.net/clinical-trials-registry/NCT03991546.

Keywords: acceptance and commitment therapy; chatbot; conversational agents; mHealth; opioid crisis; orthopedics; patient-reported outcome measures; postoperative pain; text messaging.

Conflict of interest statement

Conflicts of Interest: CA reports personal fees from McKinsey & Company, outside the submitted work. MW reports nonfinancial support from Zimmer Biomet, outside the submitted work. MK reports stock or stock options from Iowa Simulation Solutions LLC and stock or stock options from Mortise Medical LLC, outside the submitted work. JM reports stock or stock options from Zimmer Biomet, stock or stock options from FxRedux, nonfinancial support and stock or stock options from Oxford Press, and stock or stock options from Tornier, outside the submitted work.

©Chris A Anthony, Edward Octavio Rojas, Valerie Keffala, Natalie Ann Glass, Apurva S Shah, Benjamin J Miller, Matthew Hogue, Michael C Willey, Matthew Karam, John Lawrence Marsh. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.07.2020.

Figures

Figure 1
Figure 1
Consolidated Standards of Reporting Trials flowchart detailing the selection of eligible patients for study enrollment and their status through study completion. ACT: acceptance and commitment therapy.

References

    1. Azar A. Renewal of Determination That A Public Health Emergency Exists. US Department of Health and Human Services. 2019. [2000-07-09]. .
    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 Jan 4;67(5152):1419–27. doi: 10.15585/mmwr.mm675152e1. doi: 10.15585/mmwr.mm675152e1.
    1. Brat GA, Agniel D, Beam A, Yorkgitis B, Bicket M, Homer M, Fox KP, Knecht DB, McMahill-Walraven CN, Palmer N, Kohane I. Postsurgical prescriptions for opioid naive patients and association with overdose and misuse: retrospective cohort study. Br Med J. 2018 Jan 17;360:j5790. doi: 10.1136/bmj.j5790.
    1. Anthony CA, Volkmar A, Shah AS, Willey M, Karam M, Marsh JL. Communication with orthopedic trauma patients via an automated mobile phone messaging robot. Telemed J E Health. 2018 Jul;24(7):504–9. doi: 10.1089/tmj.2017.0188.
    1. Scully RE, Schoenfeld AJ, Jiang W, Lipsitz S, Chaudhary MA, Learn PA, Koehlmoos T, Haider AH, Nguyen LL. Defining optimal length of opioid pain medication prescription after common surgical procedures. JAMA Surg. 2018 Jan 1;153(1):37–43. doi: 10.1001/jamasurg.2017.3132.
    1. Deshpande PR, Rajan S, Sudeepthi BL, Nazir CP. Patient-reported outcomes: a new era in clinical research. Perspect Clin Res. 2011 Oct;2(4):137–44. doi: 10.4103/2229-3485.86879.
    1. Ahmed S, Berzon RA, Revicki DA, Lenderking WR, Moinpour CM, Basch E, Reeve BB, Wu AW, International Society for Quality of Life Research The use of patient-reported outcomes (PRO) within comparative effectiveness research: implications for clinical practice and health care policy. Med Care. 2012 Dec;50(12):1060–70. doi: 10.1097/MLR.0b013e318268aaff.
    1. Review of Physician and Advanced Practitioner Recruiting Incentives. Merritt Hawkins. 2019. [2020-07-09].
    1. Ader DN. Developing the patient-reported outcomes measurement information system (PROMIS) Med Care. 2007 May;45(Suppl 1):S1–2. doi: 10.1097/01.mlr.0000260537.45076.74.
    1. Cella D, Choi SW, Condon DM, Schalet B, Hays RD, Rothrock NE, Yount S, Cook KF, Gershon RC, Amtmann D, DeWalt DA, Pilkonis PA, Stone AA, Weinfurt K, Reeve BB. PROMIS adult health profiles: efficient short-form measures of seven health domains. Value Health. 2019 May;22(5):537–44. doi: 10.1016/j.jval.2019.02.004.
    1. Batten S. Essentials of Acceptance and Commitment Therapy. London, UK: Sage Publications; 2011.
    1. Hayes S. Acceptance and commitment therapy, relational frame theory, and the third wave of behavioral and cognitive therapies - republished article. Behav Ther. 2016 Nov;47(6):869–85. doi: 10.1016/j.beth.2016.11.006.
    1. Hughes LS, Clark J, Colclough JA, Dale E, McMillan D. Acceptance and commitment therapy (ACT) for chronic pain: a Systematic review and meta-analyses. Clin J Pain. 2017 Jun;33(6):552–68. doi: 10.1097/AJP.0000000000000425.
    1. Dahl J, Wilson K, Nilsson A. Acceptance and commitment therapy and the treatment of persons at risk for long-term disability resulting from stress and pain symptoms: a preliminary randomized trial. Behav Ther. 2004;35(4):785–801. doi: 10.1016/S0005-7894(04)80020-0. doi: 10.1016/S0005-7894(04)80020-0.
    1. Powers MB, Vording MB, Emmelkamp PM. Acceptance and commitment therapy: a meta-analytic review. Psychother Psychosom. 2009;78(2):73–80. doi: 10.1159/000190790.
    1. McCracken LM, Vowles KE. Acceptance and commitment therapy and mindfulness for chronic pain: model, process, and progress. Am Psychol. 2014;69(2):178–87. doi: 10.1037/a0035623.
    1. Dindo L, Zimmerman MB, Hadlandsmyth K, StMarie B, Embree J, Marchman J, Tripp-Reimer T, Rakel B. Acceptance and commitment therapy for prevention of chronic postsurgical pain and opioid use in at-risk veterans: a pilot randomized controlled study. J Pain. 2018 Oct;19(10):1211–21. doi: 10.1016/j.jpain.2018.04.016.
    1. Abid Azam M, Weinrib AZ, Montbriand J, Burns LC, McMillan K, Clarke H, Katz J. Acceptance and commitment therapy to manage pain and opioid use after major surgery: preliminary outcomes from the Toronto general hospital transitional pain service. Can J Pain. 2017 Jun 28;1(1):37–49. doi: 10.1080/24740527.2017.1325317.
    1. Anthony CA, Lawler EA, Ward CM, Lin IC, Shah AS. Use of an automated mobile phone messaging robot in postoperative patient monitoring. Telemed J E Health. 2018 Jan;24(1):61–6. doi: 10.1089/tmj.2017.0055.
    1. Anthony CA, Lawler EA, Glass NA, McDonald K, Shah AS. Delivery of patient-reported outcome instruments by automated mobile phone text messaging. Hand (N Y) 2017 Nov;12(6):614–21. doi: 10.1177/1558944716672201.
    1. Anthony CA, Peterson AR. Utilization of a text-messaging robot to assess intraday variation in concussion symptom severity scores. Clin J Sport Med. 2015 Mar;25(2):149–52. doi: 10.1097/JSM.0000000000000115.
    1. Liu TC, Ohueri CW, Schryver EM, Bozic KJ, Koenig KM. Patient-identified barriers and facilitators to pre-visit patient-reported outcomes measures completion in patients with hip and knee pain. J Arthroplasty. 2018 Mar;33(3):643–9.e1. doi: 10.1016/j.arth.2017.10.022.
    1. Scott EJ, Anthony CA, Rooney P, Lynch TS, Willey MC, Westermann RW. Mobile phone administration of hip-specific patient-reported outcome instruments correlates highly with in-office administration. J Am Acad Orthop Surg. 2020 Jan 1;28(1):e41–6. doi: 10.5435/JAAOS-D-18-00708.
    1. Anthony C, Polgreen L, Chounramany J, Foster E, Goerdt C, Miller M, Suneja M, Segre AM, Carter BL, Polgreen PM. Outpatient blood pressure monitoring using bi-directional text messaging. J Am Soc Hypertens. 2015 May;9(5):375–81. doi: 10.1016/j.jash.2015.01.008.
    1. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for future mobile-health (mhealth): a systematic review of mobile phone and web-based text messaging in mental health. J Med Internet Res. 2016 Jun 10;18(6):e135. doi: 10.2196/jmir.5066.
    1. Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: a systematic review of reviews. Annu Rev Public Health. 2015 Mar 18;36:393–415. doi: 10.1146/annurev-publhealth-031914-122855.
    1. Day MA, Anthony CA, Bedard NA, Glass NA, Clark CR, Callaghan JJ, Noiseux NO. Increasing perioperative communication with automated mobile phone messaging in total joint arthroplasty. J Arthroplasty. 2018 Jan;33(1):19–24. doi: 10.1016/j.arth.2017.08.046.
    1. Jones KR, Lekhak N, Kaewluang N. Using mobile phones and short message service to deliver self-management interventions for chronic conditions: a meta-review. Worldviews Evid Based Nurs. 2014 Apr;11(2):81–8. doi: 10.1111/wvn.12030.
    1. Eysenbach G, CONSORT-EHEALTH Group CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res. 2011 Dec 31;13(4):e126. doi: 10.2196/jmir.1923.
    1. PROMIS® Scoring Manuals. Health Measures. [2020-07-09].
    1. Goz V, Anthony C, Pugely A, Lawrence B, Spina N, Brodke D, Spiker WR. Software-based postoperative communication with patients undergoing spine surgery. Global Spine J. 2019 Feb;9(1):14–17. doi: 10.1177/2192568217728047.
    1. Tofte JN, Anthony CA, Polgreen PM, Buckwalter JA, Caldwell LS, Fowler TP, Ebinger T, Hanley JM, Dowdle SB, Holte AJ, Arpey NC, Lawler EA. Postoperative care via smartphone following carpal tunnel release. J Telemed Telecare. 2020 May;26(4):223–31. doi: 10.1177/1357633X18807606.
    1. Nelson SE, Adams AJ, Buczek MJ, Anthony CA, Shah AS. Postoperative pain and opioid use in children with supracondylar humeral fractures: balancing analgesia and opioid stewardship. J Bone Joint Surg Am. 2019 Jan 16;101(2):119–26. doi: 10.2106/JBJS.18.00657.
    1. Broderick JE, Schneider S, Junghaenel DU, Schwartz JE, Stone AA. Validity and reliability of patient-reported outcomes measurement information system instruments in osteoarthritis. Arthritis Care Res (Hoboken) 2013 Oct;65(10):1625–33. doi: 10.1002/acr.22025. doi: 10.1002/acr.22025.
    1. Bot AG, Bekkers S, Arnstein PM, Smith RM, Ring D. Opioid use after fracture surgery correlates with pain intensity and satisfaction with pain relief. Clin Orthop Relat Res. 2014 Aug;472(8):2542–9. doi: 10.1007/s11999-014-3660-4.
    1. Koehler RM, Okoroafor UC, Cannada LK. A systematic review of opioid use after extremity trauma in orthopedic surgery. Injury. 2018 Jun;49(6):1003–7. doi: 10.1016/j.injury.2018.04.003.

Source: PubMed

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