Evidence map›Paper›PMID 20595246›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2010

Clinical and economic impact of a specialty care management program among patients with multiple sclerosis: a cohort study.

H Tan, J Yu, D Tabby, A Devries, J Singer

Abstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

H TanHealthCore Inc., Wilmington, DE 19801, USA. jtan@healthcore.com
J Yu
D Tabby
A Devries
J Singer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the clinical and economic impact of a specialty care management program among patients with multiple sclerosis.

methodsThis retrospective cohort analysis included patients aged > or =18 years with > or =2 claims of multiple sclerosis diagnosis and > or =1 multiple sclerosis medications from 1 January 2004 to 30 April 2008. The outcome metrics included medication adherence and persistence, multiple sclerosis-related hospitalization, and multiple sclerosis-related cost. Multivariate analyses were performed to adjust for demographics and clinical characteristics.

resultsAmong the 3993 patients identified, 78.3% participated in the program and 21.7% did not. Over 12 months, medication adherence and persistence improved among participants but deteriorated among non-participants (medication possession ratio change: +0.08 vs -0.03, p < 0.001; persistence change: +29.2 days vs -9.2 days, p < 0.001). Multiple sclerosis-related hospitalization decreased from 9.6% to 7.1% for participants, whereas it increased from 10.1% to 12.0% for the non-participant group (p < 0.001). Multiple sclerosis-related medical spending (non-pharmacy) decreased among participants, but it increased among non-participants (mean: -US$264 vs + US$1536, p < 0.001). Total multiple sclerosis-related cost for both groups increased over time (+US$4471 vs +US$4087, p < 0.001).

conclusionsThis program was associated with improved medication adherence and persistence, reduced multiple sclerosis-related hospitalization, and decreased multiple sclerosis-related medical costs. Unfortunately, the cost savings in the medical component did not offset the increased pharmacy expenditures during the 12-month follow-up period.

Indexed as

Health Care CostsAdultCohort StudiesCost-Benefit AnalysisDrug MonitoringFemaleHospitalizationHumansMaleManaged Care ProgramsMiddle AgedMultiple SclerosisPharmaceutical ServicesRetrospective StudiesTreatment OutcomeUnited States

Identifiers

PMID20595246
PMCPMC2923414

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.