Evaluating methods of detecting and determining the type of urinary incontinence in adults after a stroke: a systematic review

Gordon, Clare orcid iconORCID: 0000-0002-7181-1244, Davidson, Catherine orcid iconORCID: 0000-0003-2183-4031, Roffe, Christina, Clegg, Andrew orcid iconORCID: 0000-0001-8938-7819, Booth, Joanne, Lightbody, Catherine Elizabeth orcid iconORCID: 0000-0001-5016-3471, Harris, Catherine orcid iconORCID: 0000-0001-7763-830X, Sohani, Amin and Watkins, Caroline Leigh orcid iconORCID: 0000-0002-9403-3772 (2023) Evaluating methods of detecting and determining the type of urinary incontinence in adults after a stroke: a systematic review. Neurourology and Urodynamics . ISSN 0733-2467

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Official URL: https://doi.org/10.1002/nau.25330

Abstract

Introduction: Urinary incontinence (UI) affects over half of people with stroke. It is unclear which methods are accurate in assessing presence and type of UI to inform clinical management. Diagnosis of UI based on inaccurate methods may lead to unnecessary interventions. The aims of this systematic review were to identify, for adults with stroke, clinically accurate methods to determine the presence of UI and type of UI.

Method: We searched seven electronic databases and additional conference proceedings. To be included, studies had to be primary research comparing two or more methods, or use a reference test.

Results: We identified 3846 studies with eight eligible for inclusion. We identified 11 assessment methods within the eight studies. Only five studies had sufficient comparator data for synthesis. Due to heterogeneity of data, results on the following methods were narratively synthesised: Core Lower Urinary Tract Symptom Score (CLSS), clinical history and physical examination, Barthel Activities of Daily Living Index, International Consultation Incontinence Questionnaire Short Form (ICiQ-SF) and urodynamic studies (UDS). Most studies were small and of low to medium quality. All reported differences in sensitivity, and none compared the same assessment methods.

Conclusion: Current evidence is insufficient to support recommendations on the most accurate UI assessment for adults with stroke. Further research is needed.


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