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Record W3175979658 · doi:10.1186/s40814-021-00863-7

Back to living well: community-based management of low back pain: a feasibility study

2021· article· en· W3175979658 on OpenAlexafffund
Luciana Macedo, Julie Richardson, Michele C. Battié, Mark J. Hancock, Matthew Kwan, Genevieve Hladysh, Linda Xiaoqian Zhuo

Bibliographic record

VenuePilot and Feasibility Studies · 2021
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsWestern UniversityJoseph Brant HospitalMcMaster University
FundersMcMaster University
KeywordsMedicinePhysical therapyLow back painIntervention (counseling)AttritionBack painFamily medicineAlternative medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Low back pain (LBP) is a long-term health condition with an unpredictable pattern of symptomatic episodes, remission, and recurrence. Recently published systematic reviews suggest that exercise is the most effective intervention for preventing recurrences of LBP in persons that have recovered. Similar programs may also be effective in preventing flare-ups in persistent LBP. The aim of this study was to test the feasibility of the Back to Living Well program (Physical activity + Education + Self-management) developed to prevent recurrence or flare-ups of LBP. The study evaluated feasibility in terms of recruitment rate, adherence, satisfaction with the exercise and education sessions, and the data collection procedures. We also aimed to evaluate barriers and facilitators to the engagement in the program. METHODS: Seventeen participants with non-specific LBP recently discharged from care from physiotherapy, chiropractors or physician care (< 3 months) were referred to the study by health care providers or community advertisements between December 2018 and February 2019. Participants underwent a 12-week (1 session/week) individualized, group-based exercise in the community and 4 sessions (30 min each) of education. All participants completed an action plan weekly for 12 weeks and wore an activity monitor for 6 months. All participants responded to weekly pain measures and completed study questionnaires at baseline, 3- and 6-months. Feasibility outcomes included recruitment, attrition rates and satisfaction. At the end of the intervention, participants completed an end-of-program survey. RESULTS: Twenty-nine participants were screened for eligibility; 20 were deemed eligible, while 17 were included over a 2-month period meeting our feasibility targets. In total, 16 completed follow-up study questionnaires at 3 months, and 15 completed the 6-month follow-up. Fourteen participants responded to weekly messages, while 3 participants reported not having a mobile device or Internet access. In total, 15 participants responded to our end-of-program survey. Average age was 54.9 (11.7); 9 were female (53%), and the mean duration of LBP was 62.9 (69.7) months. All satisfaction responses in relation to the exercise program, education program and data collection procedures reached our threshold of 70% out of 100%. Reported barriers to engagement in the program included fear of injury, lack of motivation and travel. Facilitators included proximity to home, low cost, flexible schedule and friendly location. CONCLUSION: The results show the program is feasible in terms of recruitment, low attrition, and patient satisfaction. Participants highlighted the excellent, relevant education program and the positive, personalized exercise. Future studies should evaluate the effectiveness of this intervention within a fully powered randomized controlled trial. TRIAL REGISTRATION: NCT03328689.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.162
GPT teacher head0.389
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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

Citations9
Published2021
Admission routes2
Has abstractyes

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