Predictors of health-related quality of life in stroke patients after neurological inpatient rehabilitation: a prospective study

Katona, Mirjam; Schmidt, Ralf; Schupp, W.; Graessel, Elmar

doi:10.1186/s12955-015-0258-9

Cited by 65 publications

(74 citation statements)

References 27 publications

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“…Adverse consequences on the physical, psychological, emotional, social, and economic status of stroke survivors place stroke among the leading causes of diminished quality of life globally [1–3]. Preventing stroke thus becomes a critical, better, and keenly sought after option.…”

Section: Introductionmentioning

confidence: 99%

Knowledge of Stroke Risk Factors among Stroke Survivors in Nigeria

Vincent-Onabajo

Moses

2016

Stroke Research and Treatment

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Background. Knowledge of stroke risk factors is expected to reduce the incidence of stroke—whether first-ever or recurrent. This study examined knowledge of stroke risk factors and its determinants among stroke survivors. Methods. A cross-sectional survey of consenting stroke survivors at two physiotherapy facilities in Nigeria was carried out. Sociodemographic and clinical data were obtained and knowledge of stroke risk factors (defined as the ability to mention at least one correct risk factor) was assessed using open-ended questionnaire. Data were treated with descriptive statistics and logistic regression analysis. Results. Sixty-nine stroke survivors (male = 72.5%; mean ± SD age = 49.7 ± 10.6 years) participated in the study. Thirty-four (49.4%) participants had knowledge of stroke risk factors. Only educational level was significantly associated with knowledge and participants with tertiary educational qualification were about 48 times (odds ratio = 48.5; CI = 7.6–309.8; P < 0.0001) more likely to be knowledgeable than those with no education. Conclusion. Less than half of the participants had knowledge of stroke risk factors. Participants with tertiary education were significantly more knowledgeable than those with lower educational qualifications. Effective means of educating stroke survivors on stroke risk factors should be identified and adopted.

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Section: Introductionmentioning

confidence: 99%

Knowledge of Stroke Risk Factors among Stroke Survivors in Nigeria

Vincent-Onabajo

Moses

2016

Stroke Research and Treatment

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“…The studies investigating QoL in stroke mostly used generic health-related QoL tools, whereas studies using diseasespecific measurements for patients with stroke are scarce in the literature (Katona et al, 2015). This is especially the case in the Turkish population.…”

Section: Introductionmentioning

confidence: 99%

Determinants of disease-specific health-related quality of life in Turkish stroke survivors

Safaz

Kesikburun²,

Adıgüzel³

et al. 2016

International Journal of Rehabilitation Research

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Stroke is a worldwide cause of morbidity and mortality that affects health-related quality of life. In this study, our objective was to identify determinants of disease-specific health-related quality of life in Turkish stroke survivors. A total of 114 consecutive patients who experienced a stroke at least 6 months earlier were studied. Health-related quality of life was measured using Stroke-specific Quality of Life (SS-QoL) consisting of 12 domains. Demographic and clinical data were collected, including age, sex, marital status, years of education, time since stroke, whether the patient received rehabilitation before enrollment, stroke etiology, whether the dominant hand was affected or not, presence of vision defect, neglect, aphasia, and dysarthria. The patients were assessed by the functional independence measure (FIM) and the Mini-Mental State Examination. A multiple linear regression analysis was carried out using a stepwise method to determine the predictors of 12 domains and the total score of the SS-QoL. The domains of work, social roles, mobility, and self-care had the lowest SS-QoL scores, whereas the highest scores were for the domains of personality, thinking, language, and vision. The total SS-QoL score was explained by the total FIM and Mini-Mental State Examination. Among the 12 domains, the mobility domain was explained the best (R=0.50) by motor FIM, previously received rehabilitation, and age, followed by the language domain (R=0.37) explained by the presence of aphasia and dysarthria, and previously received rehabilitation. The domains of mood (R=0.13) and upper extremity (R=0.19) were explained the worst. The results indicated that functional independence, age, cognitive status, and receiving a rehabilitation program were the primary determinants of the SS-QoL.

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“…This would be in line with the fact that individuals who took part in MT assessed not only their current quality of life as higher but also their expected quality of life in the future, at the end of the therapy programme. And as shown by Katona's team (Katona et al, 2015), the higher the HRQL in stroke patients directly after release from hospital was, the higher were its levels one and 2.50 years later.…”

Section: Discussionmentioning

confidence: 98%

“…It is worth mentioning here the results of German research by Katona and colleagues, who suggested that the higher the HRQL directly after releasing patients from hospital after a stroke, the higher its levels are one and 2.50 years later (Katona, Schmidt, Schupp, & Graessel, 2015). In order to improve physical ability and, thus, improve the quality of life, physical therapy is used.…”

Section: Quality Of Life Post-stroke and Its Determinantsmentioning

confidence: 99%