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. 2022 Nov;29(11):3288-3295.
doi: 10.1111/ene.15503. Epub 2022 Jul 28.

Influence of educational status and migration background on the long-term health-related quality of life after stroke

Lino Braadt  1 , Christa Meisinger  2 , Jakob Linseisen  2 , Inge Kirchberger  2   3 , Philipp Zickler  1 , Markus Naumann  1 , Michael Ertl  1
Affiliations

Influence of educational status and migration background on the long-term health-related quality of life after stroke

Lino Braadt et al. Eur J Neurol. 2022 Nov.

Abstract

Background and purpose: Acute stroke treatment and secondary prevention have tremendously improved functional outcomes after stroke. However, this does not always imply a likewise improvement in health-related quality of life (HRQoL). Knowledge on factors influencing HRQoL after stroke is still scarce, especially regarding social aspects like the level of education and the presence of migration background.

Methods: In the present stroke cohort study, participants were interviewed during their hospital stay and completed a postal questionnaire at 3 and 12 months post stroke. Functional outcomes were assessed by the modified Rankin Scale and HRQoL by evaluating the detailed Stroke Impact Scale (SIS). Logistic regression models were used to determine associations between education, migration background and quality of life end-points.

Results: A total of 945 (mean age 69 years; 56% male) stroke patients were enrolled. After adjusting for confounders, a lower educational level was associated with worse functional outcomes in the SIS domain 'strength' (odds ratio 2.67, 95% confidence interval 1.6-4.4, p < 0.001). Migration background was associated with worse outcomes in the SIS domain 'emotion' (p = 0.007, odds ratio 1.71, 95% confidence interval 1.2-2.5). Additionally, for female patients worse HRQoL outcomes were found in multiple other SIS domains.

Conclusions: Migration background and a lower educational level were significantly associated with lower long-term HRQoL after stroke. These aspects should be considered in targeted rehabilitation programmes and follow-up support of stroke patients.

Keywords: education; health-related quality of life; migration background; patient-reported outcome measures; stroke.

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References

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