ArticleDeutsches Arzteblatt international2011
Predictors of dependency on nursing care after stroke: results from the Dortmund and Münster stroke registry.
Article in Deutsches Arzteblatt international, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed.
- Exploring the dynamics of stroke survivors' care dependency, fatigue, and coping strategy in their caregivers: a structural equation modeling analysis.Frontiers in public health · 2025Article
- Article
- [Position paper on stroke aftercare of the German Stroke Society-Part 2: concept for a comprehensive stroke aftercare].Der Nervenarzt · 2022Review
- [Position paper on stroke aftercare of the German Stroke Society-Part 3: structural concepts for future forms of care of stroke aftercare].Der Nervenarzt · 2022Review
- Predictors of death within 6 months of stroke onset: A model with Barthel index, platelet/lymphocyte ratio and serum albumin.Nursing open · 2021Article
- Psychometric properties of the Care Dependency Scale in stroke survivors in Indonesian hospitals.International journal of nursing sciences · 2020Article
- How does age affect the care dependency risk one year after stroke? A study based on claims data from a German health insurance fund.BMC geriatrics · 2015Observational
- Local versus specialized treatment: the difficulty in interpreting regional variations in treatment.Deutsches Arzteblatt international · 2011Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe long-term effects of stroke have been inadequately studied. We identified social and clinical factors that were associated with application for insurance payments for long-term care within 3.6 years after stroke.
methodsIn a quality-assurance project called "Stroke Northwest Germany," information was obtained from 2286 stroke patients on their socio-demographic background, type of stroke, comorbidities, and degree of physical impairment during their hospital stay, as measured on the Rankin Scale, the Barthel Index, and the Neurological Symptom Scale. We used logistic regression models to identify possible associations between these factors and application for insurance payments for long-term care within 3.6 years after stroke. We developed an appropriate prognostic model by means of backward selection.
results734 (32.1%) of the patients participated in follow-up and reported whether they had applied for insurance payments for long-term care. 22.5% had submitted an application. The rate of application was positively correlated with age, female sex, the number of comorbidities and complications during hospitalization, and the degree of physical impairment.
conclusionStroke has major long-term effects. The probability that a stroke patient will apply for insurance payments for long-term care is a function of the patient's age, sex, previous stroke history, and physical impairment as measured on the Rankin Scale and the Barthel Index.
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