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Record W2326507889 · doi:10.1097/jnn.0b013e3182828ff4

Living With Moderate-Stage Parkinson Disease

2013· article· en· W2326507889 on OpenAlexaff
Line Beaudet, Francine Ducharme

Bibliographic record

VenueJournal of Neuroscience Nursing · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsConceptualizationSpouseIntervention (counseling)ModalitiesPsychologyPrincipal (computer security)Qualitative researchDiseaseNursingWrightGerontologyMedicineClinical psychologyComputer scienceSociology

Abstract

fetched live from OpenAlex

The purpose of this study was to identify the principal intervention needs of elderly couples living with moderate-stage Parkinson disease and their preferences regarding the modalities of a possible nursing intervention. The study's framework of reference consisted of the transitions theory developed by Meleis, Sawyer, Im, Hilfinger Messias, and Schumacher (2000) and of the systemic approach developed by Wright and Leahey (2009). A qualitative design and a participative process were employed. Ten couples were interviewed dyadically. Intra- and interdyad content analyses were performed. Results indicate that the principal intervention needs of couples are geared to developing effective strategies for remaining healthy and planning for the future, to improving communication between spouses and with the formal and informal support networks, and to adopting concerted strategies to facilitate problem solving and role adjustment. Couples would prefer six or seven dyadic meetings, each 60-90 minutes long, every 2 weeks, at an easily accessible location. This study affords avenues for the conceptualization of a psychoeducational nursing intervention intended for couples where a spouse has moderate-stage Parkinson disease.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.308
Teacher spread0.272 · 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

Citations14
Published2013
Admission routes1
Has abstractyes

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Same venueJournal of Neuroscience NursingSame topicFamily Support in IllnessFrench-language works237,207