A Mobile and Web-Based Self-Directed Complementary and Integrative Health Program for Veterans and Their Partners (Mission Reconnect): Protocol for a Mixed-Methods Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Complementary and integrative health (CIH) is a viable solution to PTSD and chronic pain. Many veterans believe CIH can be performed only by licensed professionals in a health care setting. Health information technology can bring effective CIH to veterans and their partners. OBJECTIVE: This paper describes the rationale, design, and methods of the Mission Reconnect protocol to deliver mobile and Web-based complementary and integrative health programs to veterans and their partners (eg, spouse, significant other, caregiver, or family member). METHODS: This three-site, 4-year mixed-methods randomized controlled trial uses a wait-list control to determine the effects of mobile and Web-based CIH programs for veterans and their partners, or dyads. The study will use two arms (ie, treatment intervention arm and wait-list control arm) in a clinical sample of veterans with comorbid pain and posttraumatic stress disorder, and their partners. The study will evaluate the effectiveness and perceived value of the Mission Reconnect program in relation to physical and psychological symptoms, global health, and social outcomes. RESULTS: Funding for the study began in November 2018, and we are currently in the process of recruitment screening and data randomization for the study. Primary data collection will begin in May 2019 and continue through May 2021. Projected participants per site will be 76 partners/dyads, for a total of 456 study participants. Anticipated study results will be published in November 2022. CONCLUSIONS: This work highlights innovative delivery of CIH to veterans and their partners for treatment of posttraumatic stress disorder and chronic pain. TRIAL REGISTRATION: ClinicalTrials.gov NCT03593772; https://clinicaltrials.gov/ct2/show/NCT03593772 (Archived by WebCite at http://www.webcitation.org/77Q2giwtw). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/13666.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.056 | 0.043 |
| Meta-epidemiology (narrow) | 0.009 | 0.005 |
| Meta-epidemiology (broad) | 0.013 | 0.007 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.095 | 0.015 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".