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Top Stroke Rehabil ; 31(6): 615-624, 2024 Sep.
Article in English | MEDLINE | ID: mdl-38319730

ABSTRACT

BACKGROUND: determinants of access to rehabilitation professionals after stroke in middle-income countries, where the burden of this disease is higher, are little known. OBJECTIVES: To identify the determinants of access to rehabilitation professionals by individuals with stroke at one, three, and six months after hospital discharge in Brazil and compare referral and access rates after discharge. METHODS: Longitudinal and prospective study, with individuals with primary stroke, without previous disabilities. At hospital discharge, the number of rehabilitation professionals referred by the multidisciplinary team was recorded. The possible determinants of access, according to Andersen's model, were: a) predisposing factors: age, sex, education levels, and belief that they could improve with treatment; b) need factors: stroke severity, levels of disability; c) enabling factors: socioeconomic status, disposable income for health care, and quality of care provided by rehabilitation professionals. One, three, and six months after hospital discharge, individuals were contacted to identify which rehabilitation professionals were accessed. Multiple linear regression model and Wilcoxon tests were used (α=5%). RESULTS: 201 individuals were included. Disability levels and stroke severity explained 31%, 34%, and 39% (p<0.01) of access at one, three, and six months after hospital discharge, respectively. In all periods, there was less access than that recommended at the time of hospital discharge (p<0.01). CONCLUSION: Need factors (disability levels and stroke severity) were determinants of access in all assessed periods. In addition, in all periods, the comprehensiveness of care for individuals with stroke was compromised.


Subject(s)
Health Services Accessibility , Patient Discharge , Stroke Rehabilitation , Stroke , Humans , Brazil/epidemiology , Male , Female , Stroke Rehabilitation/statistics & numerical data , Middle Aged , Patient Discharge/statistics & numerical data , Aged , Health Services Accessibility/statistics & numerical data , Longitudinal Studies , Adult , Prospective Studies , Socioeconomic Factors
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