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Record W4281738666 · doi:10.31124/advance.19742062.v1

The Strength, Hope and Resourcefulness Program for People with Parkinson’s Disease: A Qualitative Investigation of Helpful Group Processes

2022· preprint· en· W4281738666 on OpenAlexaffabout
Denise J. Larsen, Kenneth C. Murdoch, Chelsea Arsenault, Anthony S. Joyce, Andrew J. Howell, Wendy Edey, Tricia Sandham, Janis M. Miyasaki

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyParkinson's diseaseFocus groupQualitative researchIntervention (counseling)DiseaseMental healthClinical psychologyMotor symptomsDepression (economics)PsychotherapistMedicinePsychiatry

Abstract

fetched live from OpenAlex

Parkinson’s disease (PD) is a neurodegenerative disease characterized by motor and non-motor features. Many people with PD struggle with mental health issues such as depression. Evidence shows that people with PD may have trouble adopting a hopeful or positive orientation given their diagnosis and symptoms. Psychological treatments for PD are scarce and even more scarce are treatments that specifically focus on promoting hope and well-being. The Strengths, Hope, and Resourcefulness Program for People with Parkinson’s Disease was developed to begin to address this treatment gap. This qualitative study used in-depth, semi-structured interviews with 15 participants to identify seven processes group members found helpful during treatment: Accessing Hope, Comparing, Drawing Together, Reaching Beyond Self, Releasing Emotion, Sharing Skills/Picking Up Resources, and Self-Reflecting/Personal Insight. The unique contributions of an intentional and explicit hope, strengths, and resources intervention are discussed with specific attention to therapeutic process and practice. This study was reviewed and approved by the Health Research Ethics Board at the University of Alberta (ID # Pro00065937).

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)0.012
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.010
Scholarly communication0.0020.003
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.403
Teacher spread0.367 · 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 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

Citations0
Published2022
Admission routes2
Has abstractyes

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