Evidence map›Paper›PMID 32723723›Full record

Trial reportJournal of medical Internet research2020

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

2 registry-linked trialsOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 27 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 5 pooled it
6.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03991546 nacompletednot on this map

Quantifying Pain and Narcotic Usage Following Orthopedic Surgery Using a Text-Messaging Robot

TypeinterventionalSponsorChristopher AnthonyRan2016 to 2019Enrolled82ConditionsFractures, Closed, Pain, Postoperative, Pain Catastrophizing, Pain, AcuteArmsAcceptance and Commitment Therapy Delivered via an Automated Mobile Messaging Robot
NCT06483191 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Acceptability and Feasibility of Acceptance and Commitment Therapy in Total Knee Arthroplasty Patients

TypeinterventionalSponsorBelfast Health and Social Care TrustRan2025 to 2026Enrolled50ConditionsTotal Knee Arthroplasty, Knee OsteoarthritisArmsAcceptance and Commitment Therapy
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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  8. Hospital-Based Robotic Applications in Nursing Practice: A Scoping Review.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2026
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  18. Opportunities and Risks of Large Language Models in Psychiatry.NPP - digital psychiatry and neuroscience · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Chris A AnthonyDepartment of Orthopaedics, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0003-2279-1889
Edward Octavio RojasDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.ORCID 0000-0002-1791-3346
Valerie KeffalaDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.ORCID 0000-0003-3325-6718
Natalie Ann GlassDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.ORCID 0000-0003-3334-1824
Apurva S ShahChildren's Hospital of Philadelphia Main Campus Division of Orthopaedics, Philadelphia, PA, United States.ORCID 0000-0002-9597-5665
Benjamin J MillerDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.ORCID 0000-0002-9319-1795
Matthew HogueDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.ORCID 0000-0001-6697-5677
Michael C WilleyDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.ORCID 0000-0002-6922-8471
Matthew KaramDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.ORCID 0000-0002-3187-2229
John Lawrence MarshDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.ORCID 0000-0002-3494-6289
University of Iowa Hospitals and Clinics · USChildren's Hospital of Philadelphia · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

objectiveThis 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.

methodsAdult 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.

resultsA 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).

conclusionsIn 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 registrationClinicalTrials.gov NCT03991546; https://clinicaltrials.gov/ct2/show/NCT03991546.

Indexed as

Acceptance and Commitment TherapyAdultAgedAnalgesics, OpioidCell PhoneFemaleHumansMaleMiddle AgedMusculoskeletal DiseasesPostoperative PeriodRoboticsText MessagingAnalgesics, Opioidacceptance and commitment therapychatbotconversational agentsmHealthopioid crisisorthopedicspatient-reported outcome measurespostoperative paintext messaging

Identifiers

PMID32723723
PMCPMC7458063
OpenAlexW3027718729

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.