Evidence map›Paper›PMID 25410743›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2015

Methodological challenges in assessing the impact of comorbidities on costs in Alzheimer's disease clinical trials.

Kristin Kahle-Wrobleski, Howard Fillit, Jonathan Kurlander, Catherine Reed, Mark Belger

Abstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kristin Kahle-WrobleskiEli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, 46285, USA. wrobleski_kristin_kahle@lilly.com.
Howard FillitAlzheimer's Drug Discovery Foundation and Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jonathan KurlanderOptum, Eden Prairie, MN, USA.
Catherine ReedEli Lilly and Company Limited, Windlesham, UK.
Mark BelgerEli Lilly and Company Limited, Windlesham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is associated with considerable costs and has a significant impact on health and social care systems.

objectiveThis study assessed whether baseline comorbidities present in 2,594 patients with AD participating in two semagacestat randomized placebo-controlled trials (RCTs) would significantly impact overall costs.

methodsResource utilization was captured using the Resource Utilization in Dementia Scale-Lite. Comorbidities and concomitant medications were tabulated via patient and caregiver reports. Only baseline data were analyzed. Direct and indirect costs per month were calculated per patient. The relationship between cost and explanatory variables was explored in a regression model.

resultsThe baseline monthly cost of care in this RCT population was £1,147 ± 2,483, with informal care costs accounting for 75% of costs. Gender, age, and functional status were significant predictors of costs (p ≤ 0.0001). The cost ratio was not impacted when the number of comorbidities was added to the model (cost ratio = 0.95; 95% CI 0.91-0.99) or when combined with the number of concomitant medications (cost ratio = 0.97; 95% CI 0.95-1.00). Inconsistent findings related to the impact of individual comorbidities on costs were noted in sensitivity analyses.

conclusionsThe number of comorbidities, alone or when combined with concomitant medications, did not impact baseline costs of care, perhaps because RCTs often enroll less severely ill and more medically stable patients. However, higher costs were consistently associated with greater functional impairment similar to non-RCT databases. Supplemental sources (e.g., claims databases) are likely needed to better estimate the effects of disease and treatment on costs of illness captured in RCTs for AD.

Indexed as

Cost of IllnessActivities of Daily LivingAgedAged, 80 and overAge FactorsAlanineAlzheimer DiseaseAzepinesCaregiversComorbidityFemaleHealth ExpendituresHealth ServicesHumansMaleMiddle AgedAlanineAzepinesN2-((2S)-2-(3,5-difluorophenyl)-2-hydroxyethanoyl)-N1-((7S)-5-methyl-6-oxo-6,7-dihydro-5H-dibenzo(b,d)azepin-7-yl)-L-alaninamideAlzheimer’s diseaseComorbiditiesConcomitant medicationsEconomicsRandomized controlled trialsSemagacestat

Identifiers

PMID25410743
PMCPMC4646926

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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.