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Record W329400645

Predicting Continued Employment in Persons with Multiple Sclerosis

2006· article· en· W329400645 on OpenAlexaboutno aff
Lorraine J. Phillips, Alexa Stuifbergen

Bibliographic record

VenueJournal of rehabilitation · 2006
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)PsychologyMultiple sclerosisGerontologyQuality of life (healthcare)WeaknessUnemploymentMedicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Multiple Sclerosis (MS) is one of the most prevalent neurologic diseases in the world and most often (90% of cases) manifests in people between the ages of 15-50 years (LaRocca, Kalb, Scheinberg, & Kendall, 1985; Rumrill, Tabor, Hennessey, & Minton, 2000). The prevalence of MS in women is two to three times that of men (National MS Society, 2005). Common symptoms of MS include fatigue, weakness, mobility disorders, bowel and bladder dysfunction, visual impairments, depression, and cognitive dysfunction (Rumrill, 1996). The physical and psychological stressors of MS can seriously disrupt personal and social functioning for the person with MS because these young adult and middle age years are associated with individual progress in education, career development, and family life (LaRocca et al., 1985). Loss of the ability to work has been associated with decreased quality of life in persons with MS (Aronson, 1997). Understanding the factors that influence job retention in persons with MS could be beneficial for those persons and society. Research in the United States, Norway, Canada, and Spain has shown unemployment rates among persons with MS to vary between 51% to 80% (Gronning, Hannisdal, & Mellgren, 1990; Jackson, Quaal, & Reeves, 1991; Kornblith, LaRocca, & Baum, 1986; Morales-Gonzalez, Benito-Leon, Rivera-Navarro, & Mitchell, 2004). These same reports mention that greater than 95% of participants in their studies had held jobs at some time in their lives. Other studies indicate that 13% to 50% of people unemployed secondary to MS would be willing to work (Kornblith et al., 1986; Gordon, Feldman, Shipley, & Weiss, 1997). Due to the symptoms and stressors of living with a chronic, often disabling disease, factors related to employment are likely to be very different for individuals with MS than for the general population. In general, people with a disability are less likely than others to be working, according to the 2001 National Health Interview Survey (Freedman, Martin, & Schoeni, 2004). Thirty-four percent of adults ages 21 to 64 with a limitation or a disability reported working in the previous week versus 74% of all adults surveyed. Yet persons with MS are generally thought to be healthier, more financially secure, more socially active, and report a higher perceived quality of life when employed rather than unemployed (Johnson, Amtmann, Yorkston, Klasner, & Kuehn, 2004). This paradox may be explained less by individual factors and more by societal or policy barriers, such as the decreased supply of jobs offering full benefits, employer recruitment and accommodation, the availability of vocational rehabilitation programs and community-based employment services, and disincentives in social and health insurance policies (National Center for the Dissemination of Disability Research, 2001). A number of cross-sectional studies have examined factors related to current employment status specifically in persons with MS. Among working-age persons with MS (less than 65 years of age), older age has been repeatedly associated with unemployment (Beatty, Blanco, Wilbanks, Paul, & Hames, 1995; Edgley, Sullivan, & Deboux, 1991; Gronning et al., 1990; Jongbloed, 1996) as has greater disability (LaRocca et al., 1985; Hakim, Bakheit, Bryant, Roberts, McIntosh-Michaelis, & Spackmans, 2000; Busche, Fisk, Murray, & Metz, 2003) and cognitive dysfunction (Hakim, et al., 2000; Roessler, Fitzgerald, Rumrill, & Koch, 2001). Higher educational level has consistently positively influenced employment status, possibly due to the type of work associated with educational preparation or the greater flexibility in jobs held by more highly educated persons (Edgley, et al., 1991; Jackson, et al., 1991; Jongbloed, 1996; Roessler, et al., 2001). A recent cross-sectional study by Roessler, Rumrill, and Fitzgerald (2004) found that 23% of the variance in employment status of their 1,310-person sample of adults with MS was explained by education level, severity of symptoms, persistence of symptoms, and the presence of cognitive impairment. …

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)0.002
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 score0.030
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.032
GPT teacher head0.291
Teacher spread0.259 · 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

Citations44
Published2006
Admission routes1
Has abstractyes

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