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  • 标题:A population-based study comparing multiple sclerosis clinic users and non-users in British Columbia, Canada
  • 本地全文:下载
  • 作者:Kyla McKay ; Helen Tremlett ; Feng Zhu
  • 期刊名称:International Journal of Population Data Science
  • 电子版ISSN:2399-4908
  • 出版年度:2017
  • 卷号:1
  • 期号:1
  • 页码:1-1
  • DOI:10.23889/ijpds.v1i1.30
  • 出版社:Swansea University
  • 摘要:ABSTRACTObjectivesMuch clinical knowledge about multiple sclerosis (MS) has been gained from patients who attend MS specialty clinics. However, there is limited information about whether these patients are representative of the wider MS population. The objective of this study was to compare incident MS cases who were MS clinic users to non-users of the specialty MS clinics in British Columbia, Canada. ApproachThis was a retrospective record linkage cohort study using prospectively collected data from the BCMS database and province-wide health administrative databases. Incident MS cases were identified in the general population using a validated algorithm of hospital and physician diagnostic codes. Results There were 2,841 incident MS cases between 1996 and 2004 including 1,648 (58%) that had registered at an MS clinic (‘clinic cases’) and 1,193 (42%) that had not (‘non-clinic cases’). Sex and socioeconomic status distributions were similar; however, non-clinic cases were older, accessed health services more frequently, and had a higher burden of comorbidity than clinic cases. Only 1% of the non-clinic cases had filled a prescription for an MS-specific disease-modifying therapy, compared to 51% of the clinic cases. ConclusionOur findings have several important implications: even within a publicly funded healthcare system, a high proportion of individuals with MS may not access a specialty MS clinic; the needs of MS patients managed in the community may differ from those referred to an MS clinic; findings from studies involving clinic-based MS cohorts may not always be generalizable to the wider MS population; and access to population-based health administrative data offers the opportunity to gain a broader understanding of MS.
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