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Record W3159758667 · doi:10.2196/28155

A Live Video Program to Prevent Chronic Pain and Disability in At-Risk Adults With Acute Orthopedic Injuries (Toolkit for Optimal Recovery): Protocol for a Multisite Feasibility Study

2021· article· en· W3159758667 on OpenAlexvenueno aff
Ana‐Maria Vranceanu, Jafar Bakhshaie, Mira Reichman, James Doorley, A. Rani Elwy, Cale A. Jacobs, Neal C. Chen, John G. Esposito, David Laverty, Paul E. Matuszewski, Amirreza Fatehi, Lucy C. Bowers, Mitchel B. Harris, David Ring

Bibliographic record

VenueJMIR Research Protocols · 2021
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsnot available
FundersNational Center for Complementary and Integrative HealthMassachusetts General Hospital
KeywordsRandomized controlled trialPhysical therapyMedicinePsychosocialPsychological interventionOrthopedic surgeryAnxietyIntervention (counseling)Chronic painPhysical medicine and rehabilitationPsychiatrySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Despite the pivotal role of psychosocial factors in pain and disability after orthopedic injury, there are no evidence-based preventive interventions targeting psychosocial factors in patients with acute orthopedic injuries. We developed the first mind-body intervention focused on optimizing recovery and improving pain and disability in patients with acute orthopedic injuries who exhibit high levels of catastrophic thinking about pain and/or pain anxiety (Toolkit for Optimal Recovery [TOR] after orthopedic injury). In a pilot single-site randomized controlled trial (RCT), the TOR met a priori set benchmarks for feasibility, acceptability, and satisfaction. The next step in developing TOR is to conduct a multisite feasibility RCT to set the stage for a scientifically rigorous hybrid efficacy-effectiveness trial. OBJECTIVE: The objective of this study is to conduct a rigorous multisite feasibility RCT of TOR to determine whether the intervention and study methodology meet a priori set benchmarks necessary for the successful implementation of a future multisite hybrid efficacy-effectiveness trial. In this paper, we describe the study design, manualized treatments, and specific strategies used to conduct this multisite feasibility RCT investigation. METHODS: This study will be conducted at 3 geographically diverse level 1 trauma centers, anonymized as sites A, B, and C. We will conduct a multisite feasibility RCT of TOR versus the minimally enhanced usual care (MEUC) control (60 patients per site; 30 per arm) targeting a priori set feasibility benchmarks. Adult patients with acute orthopedic injuries who endorse high pain catastrophizing or pain anxiety will be recruited approximately 1-2 months after injury or surgery (baseline). Participants randomized to the TOR will receive a 4-session mind-body treatment delivered via a secure live video by trained clinical psychologists. Participants randomized to the MEUC will receive an educational booklet. Primary outcomes include feasibility of recruitment, appropriateness, feasibility of data collection, acceptability of TOR (adherence to sessions), and treatment satisfaction across all sites. We will also collect data on secondary implementation outcomes, as well as pain severity, physical and emotional function, coping skills, and adverse events. Outcomes will be assessed at baseline, posttreatment, and at the 3-month follow-up. RESULTS: Enrollment for the RCT is estimated to begin in June 2021. The target date of completion of the feasibility RCT is April 2024. The institutional review board approval has been obtained (January 2020). CONCLUSIONS: This investigation examines the multisite feasibility of TOR administered via live videoconferencing in adult patients with acute orthopedic injuries. If feasible, the next step is a multisite, hybrid efficacy-effectiveness trial of TOR versus MEUC. Preventive psychosocial interventions can provide a new way to improve patient and provider satisfaction and decrease suffering and health care costs among patients with orthopedic injuries who are at risk for chronic pain and disability. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/28155.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.245
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.098
GPT teacher head0.527
Teacher spread0.429 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2021
Admission routes1
Has abstractyes

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