PURPOSE: To investigate the prevalence of unmet demands concerning autonomy and participation and to identify risk factors related to these unmet demands in patients with chronic stroke. METHOD: A cross-sectional study of 147 patients three years after stroke. We assessed perceived unmet care demands in relation to problems of participation and autonomy measured by the Impact on Participation and Autonomy Questionnaire (IPAQ). Socio-demographic and health characteristics were analysed as potential risk factors for the prevalence of unmet demands, using multivariate regression analysis. RESULTS: A total of 33% of the patients perceived at least one unmet demand in one of the IPAQ subdomains. Risk factors significantly related to the presence of unmet demands were younger age, motor impairment, fatigue and depressive symptoms. Findings indicate that the model including these factors was fairly accurate in identifying patients having unmet demands and those not having unmet demands. CONCLUSIONS: Unmet care demands were present in a substantial proportion of the stroke patients. The risk factors identified are helpful for clinicians and health care providers to recognize patients who are at risk of perceiving unmet care demands and to optimize care to patients with chronic stroke.
PURPOSE: To investigate the prevalence of unmet demands concerning autonomy and participation and to identify risk factors related to these unmet demands in patients with chronic stroke. METHOD: A cross-sectional study of 147 patients three years after stroke. We assessed perceived unmet care demands in relation to problems of participation and autonomy measured by the Impact on Participation and Autonomy Questionnaire (IPAQ). Socio-demographic and health characteristics were analysed as potential risk factors for the prevalence of unmet demands, using multivariate regression analysis. RESULTS: A total of 33% of the patients perceived at least one unmet demand in one of the IPAQ subdomains. Risk factors significantly related to the presence of unmet demands were younger age, motor impairment, fatigue and depressive symptoms. Findings indicate that the model including these factors was fairly accurate in identifying patients having unmet demands and those not having unmet demands. CONCLUSIONS: Unmet care demands were present in a substantial proportion of the strokepatients. The risk factors identified are helpful for clinicians and health care providers to recognize patients who are at risk of perceiving unmet care demands and to optimize care to patients with chronic stroke.
Authors: Benjamin Hotter; Inken Padberg; Andrea Liebenau; Petra Knispel; Sabine Heel; Diethard Steube; Jörg Wissel; Ian Wellwood; Andreas Meisel Journal: Eur Stroke J Date: 2018-04-19
Authors: Malin Tistad; Lena von Koch; Christina Sjöstrand; Kerstin Tham; Charlotte Ytterberg Journal: Health Expect Date: 2013-06-25 Impact factor: 3.377