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Record W2099135945 · doi:10.3109/09638288.2012.721048

Secondary health conditions and spinal cord injury: an uphill battle in the journey of care

2012· article· en· W2099135945 on OpenAlexaffabout
Sara J. T. Guilcher, B. Catharine Craven, Louise Lemieux‐Charles, Tiziana Casciaro, Mary Ann McColl, Susan Jaglal

Bibliographic record

VenueDisability and Rehabilitation · 2012
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSnowball samplingHealth carePublic relationsPsychologySociologyNursingPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

PURPOSE: To understand the journey of care in the prevention and management of secondary health conditions (SHCs) following spinal cord injury (SCI). METHOD: This was a case study design with 'Ontario' as the case. The Network Episode Model was used as the conceptual framework. Data sources included in depth interviews with persons with SCI, care providers, and policy and decision makers. Document analysis was also conducted on relevant materials and policies. Key informants were selected by purposeful sampling as well as snowball sampling to provide maximum variation. Data analysis was an iterative process and involved descriptive and interpretive analyses. A coding structure was developed based on the conceptual framework which allowed for free nodes when emerging ideas or themes were identified. RESULTS: Twenty-eight individuals were interviewed (14 persons with SCI and 14 persons representing care providers, community advocacy organization representatives, system service delivery administrators and policy-makers). A major over-arching domain that emerged from the data was the concept of 'fighting'. Eleven themes were identified: at the micro-individual level: (i) social isolation and system abandonment, (ii) funding and equitable care, (iii) bounded freedom and self-management; at the meso care provider level: (iv) gender and caregiving strain, (v) help versus disempowerment, (vi) holistic care-thinking outside the box, (vii) poor communication and coordination of care; and at the macro health system level: (viii) fight for access and availability, (ix) models of care tensions, (x) private versus public tensions and (xi) rigid rules and policies. CONCLUSIONS: Findings suggest that the journey is challenging and a persistent uphill struggle for persons with SCI, care providers, and community-based advocates. If we are to make significant gains in minimizing the incidence and severity of SHCs, we need to tailor efforts at the health system level. IMPLICATIONS FOR REHABILITATION: • Secondary health conditions are problematic for individuals with a spinal cord injury (SCI). • This study aimed to understand the journey of care in the prevention and management of secondary health conditions (SHCs) following SCI. • Findings suggest that the journey is challenging and a persistent uphill struggle for persons with SCI, care providers, and community-based advocates. • All stakeholders involved recognized the disparities in access to care and resources that exist within the system. We recommend that if we are to make significant gains in minimizing the incidence and severity of SHCs, we need to tailor efforts at the health system level.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.477

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.010
Scholarly communication0.0070.004
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.048
GPT teacher head0.441
Teacher spread0.392 · 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 designObservational
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

Citations100
Published2012
Admission routes2
Has abstractyes

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