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Record W7018398732

Discussing sexuality with patients with Parkinson's disease: a survey among Dutch neurologists

2017· article· en· W7018398732 on OpenAlexaboutno aff

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2017
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsHuman sexualityAffect (linguistics)Sexual dysfunctionDiseaseQuarter (Canadian coin)Sexual functioningReproductive health
DOInot available

Abstract

fetched live from OpenAlex

Sexual functioning is often impaired in patientswith Parkinson’s disease (PD) and may affect quality oflife of patients and their spouse. However, little is knownabout the practice patterns of neurologists with regard todiscussing sexuality in this field. The aim of this cross-sectional study was to evaluate to what extent neurologistsdiscuss sexuality with PD patients. A 22-item questionnairewas sent to 139 neurologists specializing in PD. The surveycontained questions about their attitudes, knowledge, andpractice patterns with respect to sexual dysfunction (SD) inpatients with PD. The response rate of the survey was66.9%. Most participants (56.8%) stated that they addresssexuality in less than half of their PD patients. High age ofpatients (42.0%), insufficient consultation time (37.5%),and a lack of patients’ initiative to raise the topic them-selves (36.4%) were frequently reported barriers towardsdiscussing sexuality. The majority of participants consid-ered that discussing sexuality is a responsibility that laywith neurologists (85.2%), nurses (73.9%), and patients(72.7%). One quarter of the neurologists reported to haveinsufficient or no knowledge on SD. The majority of par-ticipants regarded screening for SD important or slightlyimportant (85.2%). A large proportion of Dutch neurolo-gists specializing in PD do not routinely discuss sexualitywith their PD patients. Sexual healthcare in PD patientsmay benefit from time-efficient tools and agreements onwho is responsible for discussing SD. Furthermore, rec-ommendations in PD guidelines on screening and manag-ing SD should be adapted to fit everyday practicehttps://creativecommons.org/licenses/by/4.0/ CC BY 4.0https://creativecommons.org/licenses/by/4.0/

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.035
GPT teacher head0.282
Teacher spread0.247 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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