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Record W2089279953 · doi:10.7224/1537-2073-11.2.91

Differences in Bladder Care for Veterans with Multiple Sclerosis by Treatment Location

2009· article· en· W2089279953 on OpenAlexaff
Ruth Ann Marrie, Gary Cutter, Tuula Tyry, Denise I. Campagnolo, Timothy Vollmer

Bibliographic record

VenueInternational Journal of MS Care · 2009
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of Manitoba
FundersEMD Serono
KeywordsMedicineLogistic regressionOdds ratioMultiple sclerosisConfidence intervalHealth carePsychological interventionDistressEmergency medicineFamily medicineInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Previous work suggested that veterans with multiple sclerosis (MS) treated through the Veterans Health Administration (VHA) had greater access to multidisciplinary care than veterans treated elsewhere. It is unknown whether other VHA-related differences in processes of MS care exist. Using the North American Research Committee on Multiple Sclerosis (NARCOMS) Registry, we aimed to compare bladder management reported by veterans who receive care through the VHA (VHA veterans) and those who do not (non-VHA veterans). In 2005, NARCOMS participants completed the Urogenital Distress Inventory–6 (UDI-6) and reported urologic investigations and treatments. Using multivariable logistic regression, we assessed the independent association of VHA care with investigations or treatments. A total of 1247 veterans with MS responded to the questionnaire, of whom 1230 (98.6%) reported where they received their health care. Of these, 583 (47.4%) received some or all of their care through the VHA. After adjustment for demographic and clinical factors, VHA veterans more frequently reported undergoing urologic investigations than non-VHA veterans (adjusted odds ratio, 2.02; 95% confidence interval, 1.55–2.61). VHA veterans more frequently reported using pharmacologic and nonpharmacologic interventions than non-VHA veterans. Differences exist in the processes of MS bladder care between the VHA and elsewhere; this variation suggests the availability of opportunities to optimize such care.

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 score0.276
Threshold uncertainty score0.341

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 studies0.0000.000
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 head0.024
GPT teacher head0.277
Teacher spread0.253 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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