Literature DB >> 16459717

The Sonya Slifka Longitudinal Multiple Sclerosis Study: methods and sample characteristics.

S L Minden1, D Frankel, L Hadden, J Perloffp, K P Srinath, D C Hoaglin.   

Abstract

The Sonya Slifka Longitudinal Multiple Sclerosis Study follows a population-based cohort of approximately 2000 people with multiple sclerosis (MS) to study demographic and clinical characteristics, course of illness, utilization and cost of health services, provider characteristics, use of MS specialists and disease modifying agents, and neurologic, economic and psychosocial outcomes. This report describes the study methodology, presents baseline demographic and clinical data, and evaluates the representativeness of the sample. A stratified random sample of persons with established and recently-diagnosed MS selected from the National Multiple Sclerosis Society (NMSS) mailing lists was supplemented with recently-diagnosed patients recruited through systematic nationwide outreach. Baseline data were collected by computer-assisted telephone interviews derived from standardized instruments; data collection continues at six-month intervals. The cohort was comparable to population-based and clinical samples with respect to demographics, course, relapse rate, symptoms, and severity of disability. Almost two-thirds of the cohort needed help with activities of daily living, three-quarters were limited in work or other activities, and half had emotional problems that compromised quality of life. The Slifka Study cohort is broadly representative of the MS population and the database can be used to address questions not answered by natural history studies, clinical databases, or population-based surveys.

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Year:  2006        PMID: 16459717     DOI: 10.1191/135248506ms1262oa

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  59 in total

1.  MS: Prevalence, Economics, and the Pipeline.

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Journal:  Biotechnol Healthc       Date:  2008-09

2.  Nocturia in Patients With Multiple Sclerosis.

Authors:  Benoit Peyronnet; Lauren B Krupp; W Stuart Reynolds; Xavier Gamé; Gérard Amarenco; Jean-Nicolas Cornu; Lana Zhovtis Ryerson; Carrie Lyn Sammarco; Jonathan E Howard; Robert W Charlson; Roger R Dmochowski; Benjamin M Brucker
Journal:  Rev Urol       Date:  2019

3.  Goals set after completing a teleconference-delivered program for managing multiple sclerosis fatigue.

Authors:  Miho Asano; Katharine Preissner; Rose Duffy; Maggie Meixell; Marcia Finlayson
Journal:  Am J Occup Ther       Date:  2015 May-Jun

4.  Time of birth, residential solar radiation and age at onset of multiple sclerosis.

Authors:  Tzu-Yun McDowell; Sania Amr; Patricia Langenberg; Walter Royal; Christopher Bever; William J Culpepper; Douglas D Bradham
Journal:  Neuroepidemiology       Date:  2010-03-18       Impact factor: 3.282

5.  Factors affecting employment among informal caregivers assisting people with multiple sclerosis.

Authors:  Robert J Buchanan; Chunfeng Huang; Zhida Zheng
Journal:  Int J MS Care       Date:  2013

6.  Informal caregivers assisting people with multiple sclerosis: factors associated with the strength of the caregiver/care recipient relationship.

Authors:  Robert J Buchanan; Chunfeng Huang
Journal:  Int J MS Care       Date:  2011

7.  Meeting the needs of people with primary progressive multiple sclerosis, their families, and the health-care community.

Authors:  Nancy J Holland; Diana M Schneider; Robert Rapp; Rosalind C Kalb
Journal:  Int J MS Care       Date:  2011

8.  Caregiver burden among informal caregivers assisting people with multiple sclerosis.

Authors:  Robert J Buchanan; Dagmar Radin; Chunfeng Huang
Journal:  Int J MS Care       Date:  2011

9.  Use of cognitive aids and other assistive technology by individuals with multiple sclerosis.

Authors:  Kurt L Johnson; Alyssa M Bamer; Kathryn M Yorkston; Dagmar Amtmann
Journal:  Disabil Rehabil Assist Technol       Date:  2009-01

Review 10.  Incidence, prevalence, costs, and impact on disability of common conditions requiring rehabilitation in the United States: stroke, spinal cord injury, traumatic brain injury, multiple sclerosis, osteoarthritis, rheumatoid arthritis, limb loss, and back pain.

Authors:  Vincent Y Ma; Leighton Chan; Kadir J Carruthers
Journal:  Arch Phys Med Rehabil       Date:  2014-01-21       Impact factor: 3.966

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