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Record W3106798942 · doi:10.1177/1471301220969615

Healthcare professionals’ perspectives on rehabilitating persons with cognitive impairment

2020· article· en· W3106798942 on OpenAlexafffund
Katherine S. McGilton, Shirin Vellani, Nancy Zheng, Daniel Wang, Lydia Yeung, Astrid Escrig-Piñol

Bibliographic record

VenueDementia · 2020
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsPublic Health OntarioToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
FundersCanadian Institutes of Health Research
KeywordsRehabilitationHealth careMedicineDeliriumSpecialtyCognitive reframingFocus groupPsychologyNursingPhysical therapyFamily medicinePsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Despite emerging evidence that persons with cognitive impairment (CI) (including dementia and/or delirium) can be rehabilitated post-hip fracture surgery, there still remains a paucity of research on best practice rehabilitation strategies that help healthcare providers effectively rehabilitate persons with CI. Therefore, this qualitative study explores healthcare professionals' (HCPs) perspectives who have been successfully providing rehabilitation for people with CI. RESEARCH DESIGN AND METHODS: Sixteen HCPs with a specialty in rehabilitating persons with CI from one inpatient rehabilitation facility with various professional backgrounds were purposively sampled using a maximum diversity sampling strategy. Three focus group discussions were conducted to explore their experiences of providing rehabilitation to persons with CI. A hybrid inductive-deductive approach was used to analyze the data. FINDINGS: HCPs acknowledged that older adults with CI deserved the opportunity for inpatient rehabilitation and that good outcomes were achievable; however, their knowledge, skills, and attitudes required reframing. The analysis identified three essential components to rehabilitation: (1) staff education and support, (2) tailored rehabilitation approaches, and (3) care partner involvement and support. DISCUSSION AND IMPLICATIONS: Rehabilitation of persons with CI post-hip fracture surgery is achievable, and HCPs can learn to modify their practices to achieve positive patient outcomes. The attitudes of the healthcare team members had to be shifted to embrace the belief that persons with CI can be rehabilitated. However, it takes a steep learning curve, creativity, ingenuity, and tailored approaches to rehabilitate persons with CI successfully. This involves knowing the individual, maintaining routines, and learning the best ways to engage and motivate the person. As well, care partners' knowledge and understanding of the individual improved the chances of a successful rehabilitation stay and discharge. Essential to the success of rehabilitation of persons with CI includes a supportive management team to help create the processes to enable their staff to succeed.

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)0.002
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 score0.389
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.018
GPT teacher head0.313
Teacher spread0.295 · 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
Published2020
Admission routes2
Has abstractyes

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