Search

To analyze WHODAS 2.0's diagnostic capacity and accuracy in stroke survivors.Cross-sectional methodological study, in which individuals with chronic stroke were evaluated. Disability was considered the outcome variable, being evaluated by WHODAS 2.0; the modified Rankin scale (mRS) was used as the parameter variable. Disability was categorized in two levels being: "No or mild disability" (mRS 0-2) and "Moderate to severe disability" (mRS 3-5). To identify the cutoff point, a Receiver-Operating Characteristic (ROC) curve was constructed with a confidence interval (CI) of 95% and considering sensitivity and specificity.The cutoff point39.62 proved acceptable for distinguishing individuals with moderate/severe disability from individuals with no or mild disability (≤39.62 points), with 66.22% sensitivity, 72.41% specificity, positive predictive value (PPV) of 45.45%, and negative predictive value (NPV) of 84.74%. The area under the curve (AUC) was 0.747 (CI 95%: 0.65-0.83;WHODAS 2.0 demonstrated acceptable diagnostic capacity and the cutoff point of 39.62 proved suitable for distinguishing individuals with moderate/severe disability from those with no or mild disability after stroke.Implications for rehabilitationWHODAS 2.0 demonstrated acceptable diagnostic capacity.The WHODAS 2.0 cut-off point of39.62 allows stratification of post-stroke disability into two different levels (no/mild disability versus moderate/severe disability).These results facilitate clinical decision-making by rehabilitation professionals.

Introdução: Para melhor compreensão da mensuração da funcionalidade após Acidente Vascular Cerebral (AVC) é necessário entender a relação entre desempenho e a capacidade. Objetivo: contrastar a autopercepção do desempenho com a capacidade aferida após AVC. Métodos: Estudo transversal, no qual avaliou-se a autopercepção do desempenho por meio da Medida de Independência Funcional (MIF) e a capacidade por meio da Escala de Equilíbrio de Berg (BERG), Timed Up and Go test (TUG) e do teste de caminhada de 10 metros (TC10m). Resultados: Avaliou-se 51 indivíduos, sendo 18 dependentes e 33 independentes. Houve diferença entre os grupos na mobilidade (TUG) (p=0,02) e no equilíbrio (BERG) (p0,001). Não houve diferença na velocidade marcha. Houve correlação significante entre a autopercepção do desempenho e a mobilidade (rs=-0,32; p=0,02) e equilíbrio (rs=0,47, p=0,001). Não houve correlação entre o VM10m com o desempenho. Conclusão: A autopercepção do desempenho se correlaciona com medidas objetivas de mobilidade e equilíbrio, contudo, não tem relação com a velocidade da marcha.

Propose a way of coding and qualifying HRQoL following a stroke using the codes and qualifiers of the International Classification of Functioning, Disability and Health (ICF).An observational, cross-sectional study was conducted involving 51 individuals with hemiparesis resulting from a stroke. ICF codes related to the Stroke Specific Quality of Life (SS-QOL) scale were listed and subsequently classified using the generic ICF qualifiers, which range from .0 - no impairment to .4 - complete impairment. A simple mathematic calculation was proposed to convert the SS-QOL scores into ICF qualifiers.The use of the ICF qualifiers revealed that the individuals exhibited a moderate level (.2) of quality of life, with mild impairment (.1) regarding upper limb function, language, self-care, and vision as well as severe impairment (.3) regarding social relations.The proposal presented in this study allowed qualifying 43 ICF codes related to quality of life after a stroke in a simple, standardized manner, enabling the identification of different levels of impairment on each of the domains of the SS-QOL scale. This coding standardizes the evaluation, facilitates communication between healthcare providers, and systematizes the collection of data and information on health.Implications for rehabilitationProposal for qualifying concepts related to body functions, activityparticipation, and environmental factors in a simple, standardized manner.The proposed mathematic calculation is simple and easy to understand, which minimizes the occurrence of errors.Possibility to identify different levels of impairment in each of the domains of the Stroke Specific Quality of Life scale, facilitating the establishment of individualized, longitudinal care.The ICF codes standardize the evaluation, facilitate communication between healthcare providers, and systematize the collection of data and information on health and functioning.