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Record W2537076821

Silent Partners in Care: Examining Care Transitions for Caregivers of Hip Fracture and Stroke Patients

2011· dissertation· en· W2537076821 on OpenAlexaboutno aff
Justine Toscan

Bibliographic record

VenueUWSpace (University of Waterloo) · 2011
Typedissertation
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsnot available
Fundersnot available
KeywordsHip fractureStroke (engine)MedicinePsychologyPhysical therapyPhysical medicine and rehabilitationOsteoporosisInternal medicineEngineering
DOInot available

Abstract

fetched live from OpenAlex

Background: Quality of care and patient safety have been demonstrated to be at increased risk during care transitions; making older adults with complex medical issues especially vulnerable due to the multifaceted care they require (Coleman, 2003; Cook et al., 2000; Forster et al., 2003; Murtaugh & Litke, 2002; Picker Institute, 1999; van Walraven et al., 2004). While a strong focus on patient issues during care transitions exists in current literature, there is a dearth of knowledge surrounding the role of informal caregivers in this process. As the senior population continues to grow in Canada, it is inevitable that the health system will be increasingly reliant upon informal caregivers to meet the demanding and complex care needs of older adults. This research explored informal caregiver experiences following an older patient’s medical crisis in order to foster a deeper understanding of caregiver needs during transitional care. This work will support efforts to develop viable interventions within formal care settings to better support and prepare individuals for informal care responsibilities (Canadian Caregiver Coalition, 2008; National Centre for Social and Economic Modelling, 2004). 
\nMethods: A qualitative, post-positivist grounded theory study was employed to acquire an understanding of the role and needs of informal caregivers during transitional care. Semi-structured interviews were conducted with six community and resource case managers, and informal caregivers of eight hip fracture and two stroke caregivers. Two additional interviews were conducted with hip replacement caregivers. Questions explored individual experiences interacting with and/or providing informal care, and honed in on observed and experienced challenges, support received, and recommendations for future efforts to support care. NVivo8 software facilitated qualitative data analysis through hierarchical coding (Glaser & Strauss, 1967).
\nResults: Six properties of caregiver needs arose from the data, each consisting of several important ideas fostering its understanding. The core concept threading across all properties was building capacity to care. Combined, thematic interpretations were integrated into a comprehensive theory of caregiver needs to support a successful care transition from hospital to home, consisting of three layers: 1) Timeline of caregiver needs; 2) Instrumental needs; and 3) Emotional needs. A member-checking process of the theory consisting of both a focus group and individual interviews indicated high face and content validity, and highlighted priority areas for future interventions.
\nDiscussion: The developed substantive theory is a valuable tool for which to understand the instrumental and emotional needs of hip fracture and stroke caregivers along a timeline of transitional care between hospital and home. Focus group and individual feedback indicate strong endorsement for theory adoption as a guiding framework for an intervention strategy to support informal caregivers within formal care settings and throughout the transition home. Results suggest the potential to broaden the conceptualization of the substantive theory to a formal explanation of transitional care needs for other medical crises across numerous types of transitions between formal hospital settings and the community.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.111
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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

Citations3
Published2011
Admission routes1
Has abstractyes

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