Implementation of back to living well, a community-based program for the tertiary prevention of low back pain: a study protocol
Bibliographic record
Abstract
BACKGROUND: The current literature supports the effectiveness of exercise, education, and self-management interventions for the long-term management of persistent low back pain. However, there is significant uncertainty about the implementation of interventions related to barriers, facilitators, and patient's preferences. This study will evaluate the Back to Living Well program implementation from a participant and organizational perspective. More specifically we address the following objectives: 1) identify program barriers and facilitators from participants' perspectives, 2) identify factors related to program, personal and contextual factors that contribute to negative and positive outcomes, and outcome trajectories, 3) identify factors influencing participants' selection of an in-person or e-health program, and 4) evaluate program specific barriers and facilitators from the organization and care delivery perspectives. METHODS: This study will utilize a mixed-method convergent design including a longitudinal cohort strand and a longitudinal qualitative interview strand. The RE-AIM framework will be used to assess program implementation. Participants (n = 90, 1:1: in person or virtual) who choose to register in the program as well as staff (n = 10 to 15) involved in the delivery of the program will be invited to participate. Participants will participate in a 12-week physical activity, education, and self-management program. Implementation outcomes will be measured at 3-, 6-, 12-months, and six months after the end of the follow-ups. Interview scripts and directed content analysis will be constructed based on the Theoretical Domains Framework and the Neuromatrix Model of Pain, Theoretical Domains Framework. Staff interviews will be constructed and analyzed using the Consolidated Framework for Implementation Research. Participants will also complete pain, disability, quality of life and psychological questionnaires, wear an activity tracker at all time points, and complete weekly pain and activity limitation questions using a mobile application. DISCUSSION: The study results will provide evidence to inform potential future implementation of the program. An effective, appropriately targeted, and well implemented exercise program for the long-term management (i.e., tertiary prevention) of LBP could minimize the burden of the condition on patients, the health care system and society. TRIAL REGISTRATION: ClinicalTrials.gov NCT05929846. This (Registration Date: July 3 2023) study has been approved by the Hamilton Integrated Research Ethics Board Project ID#15,354.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".