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Record W1937167310 · doi:10.1186/s12877-015-0092-2

Navigating uncharted territory: a qualitative study of the experience of transitioning to wheelchair use among older adults and their care providers

2015· article· en· W1937167310 on OpenAlexafffund
Ed Giesbrecht, William C. Miller, Roberta L. Woodgate

Bibliographic record

VenueBMC Geriatrics · 2015
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia HospitalUniversity of Manitoba
FundersCanadian Institutes of Health ResearchCanadian Occupational Therapy Foundation
KeywordsWheelchairMentorshipFocus groupMedicineRehabilitationNursingBest practiceTelehealthMedical educationHealth carePhysical therapyTelemedicine

Abstract

fetched live from OpenAlex

BACKGROUND: An increasing number of older adults are procuring a wheelchair for mobility; however, the corresponding impact on related injuries, caregiver burden, and participation restriction is concerning. To inform the development of a wheelchair training program, we pursued a clearer understanding of the experience transitioning to wheelchair use for older adult users and their care provider. METHODS: Six focus groups were conducted with older experienced wheelchair users (n = 10) and care providers (n = 4). Transcripts were analyzed using a Conventional Content approach; a coding framework enabled inductive theming and summary of the data. RESULTS: Three themes emerged from the user group: On My Own reflected both limited training and the necessity of venturing out, More Than Meets the Eye addressing barriers to use, and Interdependence between wheelchair users and the ambulatory community. Care provider responses fell into two themes: the All Encompassing impact of assumed responsibilities and Even the Best Laid Plans, where unpredictable and inaccessible environments sabotaged participation. CONCLUSIONS: The transition from ambulatory to wheelchair mobility can feel like uncharted territory. Balanced support and appropriate mentorship are fundamentally important and real-world encounters optimize independence and proficiency with skills. The impact on care providers is extensive, highlighting the importance of skills training.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.093
GPT teacher head0.429
Teacher spread0.335 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations22
Published2015
Admission routes2
Has abstractyes

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