Views and perspectives toward implementing the Global Spine Care Initiative (GSCI) model of care, and related spine care program by the people in Cross Lake, Northern Manitoba, Canada: a qualitative study using the Theoretical Domain Framework (TDF)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Back pain is very common and a leading cause of disability worldwide. Due to health care system inequalities, Indigenous communities have a disproportionately higher prevalence of injury and acute and chronic diseases compared to the general Canadian population. Indigenous communities, particularly in northern Canada, have limited access to evidence-based spine care. Strategies established in collaboration with Indigenous peoples are needed to address unmet healthcare needs, including spine care (chiropractic and movement program) services. This study aimed to understand the views and perspectives of Cross Lake community leaders and clinicians working at Cross Lake Nursing Station (CLNS) in northern Manitoba regarding the implementation of the Global Spine Care Initiative (GSCI) model of spine care (MoC) and related implementation strategies. METHOD: A qualitative exploratory design using an interpretivist paradigm was used. Twenty community partners were invited to participate in semi-structured interviews underpinned by the Theoretical Domains Framework (TDF) adapted to capture pertinent information. Data were analyzed deductively and inductively, and the interpretation of findings were explored in consultation with community members and partners. RESULTS: Community leaders (n = 9) and physicians, nurses, and allied health workers (n = 11) emphasized: 1) the importance of contextualizing the MoC (triaging and care pathway) and proposed new services through in-person community engagement; 2) the need and desire for local non-pharmacological spine care approaches; and 3) streamlining patient triage and CLNS workflow. Recommendations for the streamlining included reducing managerial/administrative duties, educating new incoming clinicians, incorporating follow-up appointments for spine pain patients, and establishing an electronic medical record system along with a patient portal. Suggestions regarding how to sustain the new spine care services included providing transportation, protecting allocated clinic space, resolving insurance coverage discrepancies, addressing misconceptions about chiropractic care, instilling the value of physical activity for self-care and pain relief, and a short-term (30-day) incentivised movement program which considers a variety of movement options and offers a social component after each session. CONCLUSION: Community partners were favorable to the inclusion of a refined GSCI MoC. Adapting the TDF to unique Indigenous needs may help understand how best to implement the MoC in communities with similar needs.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| 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 it