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Record W2937728921 · doi:10.1111/hex.12884

Improving patient‐centred care for persons with Parkinson's: Qualitative interviews with care partners about their engagement in discussions of “off” periods

2019· article· en· W2937728921 on OpenAlexaff
Tara Rastgardani, Melissa J. Armstrong, Connie Marras, Anna R. Gagliardi

Bibliographic record

VenueHealth Expectations · 2019
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversity Health Network
FundersMichael J. Fox Foundation for Parkinson's Research
KeywordsQualitative researchActive listeningPsychological interventionPsychologyScale (ratio)Quality of life (healthcare)NursingMedicinePsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVE: This study explored how care partners (CPs) of persons with Parkinson's (PwP) are engaged in discussions of "off" symptoms. METHODS: During qualitative interviews, CPs of PwP sampled by convenience through the Michael J Fox Foundation online clinical trial matching service were asked to describe their familiarity with "off" symptoms, how "off" symptoms were discussed with clinicians, and the impact of "off" symptoms on them. Data were analysed using constant comparative technique by all members of the research team. RESULTS: A total of 20 CPs were interviewed. Compared with PwP, they were more likely to describe "off" symptoms to clinicians. CPs identified important aspects of patient-centred care for PD: establishing a therapeutic relationship, soliciting and actively listening to information about symptoms, and providing self-management support to both PwP and CPs. CPs said that clinicians did not always engage CPs, ask about "off" symptoms or provide self-management guidance, limiting their ability to function as caregivers. CONCLUSION: By not engaging and educating CPs, "off" symptoms may not be identified or addressed, leading to suboptimal medical management and quality of life for PwP. These findings must be confirmed on a broader scale through ongoing research but suggest the potential need for interventions targeted at clinicians and at CPs to promote patient-centred care for PwP.

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 score0.031
Threshold uncertainty score0.639

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 head0.045
GPT teacher head0.366
Teacher spread0.321 · 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
Published2019
Admission routes1
Has abstractyes

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