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Record W2067196608 · doi:10.1080/14660820152882188

Lasting impact in families after death from ALS

2001· article· en· W2067196608 on OpenAlexaff
J. Martin, John Turnbull

Bibliographic record

VenueAmyotrophic Lateral Sclerosis and Other Motor Neuron Disorders · 2001
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCoping (psychology)DiseaseMedicineFamily medicinePsychologyGerontologyPsychiatry

Abstract

fetched live from OpenAlex

INTRODUCTION: ALS severely affects families, who have to cope after the patient's death. There is no information on ongoing needs or concerns of families surviving the death of the ALS patient. We wished to survey these needs. METHOD: We developed a written questionnaire which we distributed at a single point in time to 32 patients' families. All patients had been followed in the McMaster University ALS clinic, and had died months to years earlier from ALS. RESULTS: The response rate was excellent (85%). ALS caused lasting emotional and financial hardship in families, and 37% of respondents felt they were coping poorly, sometimes years after the patient's death. This did not clearly relate to the bereavement period, nor to the physical or financial impact of the disease during life. In most cases the disease led to a strengthening of family ties. However, 15% of chief caregivers felt blamed by in-laws for contributing to the death of the patient; in these cases family ties weakened. Less than half of families were still receiving ALS information, although 75% still wished to. About two-thirds of families had ongoing questions about the disease, and a small number remained concerned that they, or their children, would develop the disease. Only a third of families were actively involved in ongoing fund-raising activities. CONCLUSIONS: It is possible to survey ongoing family needs after the death of the ALS patient. ALS causes lasting impact in surviving family members. There are ongoing needs that could be met by ALS clinics, ALS organizations, and healthcare systems, and opportunities for greater involvement of family members in volunteer activities, awareness, and fundraising. Generalization across other healthcare systems, and comparison with other disease states, could be important.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.030
GPT teacher head0.281
Teacher spread0.251 · 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.

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

Citations34
Published2001
Admission routes1
Has abstractyes

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