Healthcare utilization in multiple sclerosis: Impact of disease modifying therapies and comorbidities

Carlson, Alise K; McGinley, Marisa

doi:10.1177/13524585221081985

Cited by 3 publications

(1 citation statement)

References 11 publications

(12 reference statements)

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“…The complex patterns of provision across MS-related health services are not yet comprehensively understood. 8 Therefore, a mixed-methods study "Multiple Sclerosis-Patient-Oriented Care in Lower Saxony" (MS-PoV), 9 was conducted in the federal state of Lower Saxony, Germany to examine health service utilisation and identify influencing factors. We adopted Andersen's Behavioural Model as a theoretical framework for this analysis.…”

Section: Introductionmentioning

confidence: 99%

Subgroup analyses and patterns of multiple sclerosis health service utilisation: A cluster analysis

Fricke,

Krüger,

Trebst

et al. 2024

Multiple Sclerosis Journal - Experimental, Translational and Cl

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Background Previous investigations of multiple sclerosis (MS)-related healthcare have focused on utilisation of specific individual health services (e.g. hospital care, office-based neurologists) by people with MS (PwMS). Meanwhile, little is known about possible patterns of utilisation across health services and their potential differences across patient characteristics. Objective To comprehensively analyse and identify patterns of MS-related health service utilisation and detect patient characteristics explaining such patterns. Methods In 2021, we invited all PwMS insured by the largest insurance company in Lower Saxony, Germany, to take part in an online survey. We merged respondents’ survey and health insurance claims data. We analysed MS-related health service utilisation and defined individual characteristics for subgroup analyses based on Andersen's Behavioural Model. We executed non-parametric missing value imputation and conducted hierarchical clustering to find patterns in health service utilisation. Results Of 6928 PwMS, 1935 responded to our survey and 1803 were included in the cluster analysis. We identified four distinct health service utilisation clusters: (1) regular users (n = 1130), (2) assistive care users (n = 443), (3) low users (n = 195) and (4) special services users (n = 35). Clusters differ by patient characteristics (e.g. age, impairment). Conclusion Our findings highlight the complexity of MS-related health service utilisation and provide relevant stakeholders with information allowing them to tailor healthcare planning according to utilisation patterns.

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Section: Introductionmentioning

confidence: 99%