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Service use and needs of people with motor neurone disease and their carers in Scotland

2001· article· en· W1996454999 on OpenAlexaboutno aff
Edwin van Teijlingen, Elizabeth Friend, Ayesha D. Kamal

Bibliographic record

VenueHealth & Social Care in the Community · 2001
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsnot available
FundersMotor Neurone Disease Association
KeywordsMotor neurone diseaseRespondentAmyotrophic lateral sclerosisMedicineQuarter (Canadian coin)Service (business)DiseaseSocial WelfareFamily medicinePsychologyGerontologyBusinessGeography

Abstract

fetched live from OpenAlex

A national study of patients with motor neurone disease (MND) and their carers was conducted in Scotland in late 1996. A questionnaire covering areas such as: use of medical, social and voluntary services; use of or waiting for specialised equipment; satisfaction with provided services; and standard demographic data was used in face-to-face interviews conducted by the four Scottish Motor Neurone Disease Association care advisers. The care advisers also assessed the respondent's level of impairment, using a standard instrument: the Amyotrophic Lateral Sclerosis Severity Scale (ALSSS). The data was analysed using SPSS-PC. In total 153 people participated (response rate 92%), and as expected with this patient group the study recruited more men (57%) than women. Sixty per cent of the sample was severely disabled as measured on the ALSSS. Health services did not meet the needs of respondents in 19% of the cases and social services failed to do so according to 24% of respondents. Eighty per cent of patients with MND had an identified carer. Nearly four out of 10 of these carers had their sleep disturbed regularly, and nearly a quarter of them would have liked to have more help. In addition, differences were found in service provision between the East and West of Scotland, and consequently differences in respondent's perceptions about the extent to which needs were met. As found in similar studies, the formal health and social care sectors in conjunction with voluntary organisations are only partially managing the trajectory of patients with a rare progressive degenerative 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 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)0.001
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 score0.139
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.067
GPT teacher head0.331
Teacher spread0.264 · 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

Citations71
Published2001
Admission routes1
Has abstractyes

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