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ID 113892
Title Alternative
Factors related to the uncertainty stroke patients experience during treatment
Tomizawa, Eiko Tokushima University|Shikoku University
Yokoi, Yasuko Tokushima University
uncertainty in illness
mild stroke patients
nursing care
Content Type
Thesis or Dissertation
[Purpose] The purpose of this study was to clarify the factors associated with the uncertainty patients with mild stroke experience regarding their illness.
[Method] The participants in the study included stroke patients who had suffered a stroke but were able to communicate without cognitive impairment in an outpatient clinic or who were being hospitalized in a stroke care unit (SCU) or ward. Uncertainty regarding their illness was investigated using the Universal Uncertainty in Illness Scale (UUIS) (26 item, 6 subscale measurement scale, with scores ranging from 26–130) and Health-Related Quality of Life (QOL) SF-8 (8 item, 5–6 level Likert system) questionnaire. Data extracted from medical records included patient age, sex, type of stroke, time since onset, overlapping diseases, presence or absence of recurrent stroke, the National Institutes of Health Stroke Scale (NIHSS), ADL assessments using the Barthel Index (BI), and the presence or absence of family members living in the same house. For the analysis, Spearman rank correlation coefficients were calculated for the correlation between UISS and SF-8 in stroke patients after analyzing basic statistics. Comparisons of UUIS scores based on age, stroke type, BMI, time since onset, stroke severity (NIHSS), and ADL (BI) between the three groups were performed using the Kruskal-Wallis test, and comparisons between the two groups based on sex, the presence or absence of overlapping diseases, the presence or absence of stroke recurrence, the presence or absence of stroke sequelae, and the presence or absence of cohabitating families were performed using the Mann-Whitney test. Subsequently, multiple regressions with UUIS as an independent variable were performed on factors that showed significant differences in order to explore the factors related to UUIS. Approval was obtained from the Institutional Review Board of Tokushima University Hospital (Approval number 3134-1).
[Results] Responses were obtained from 146 stroke patients. The mean age was 65.9 years (SD 13.9), 82 were men (56.2%), 64 were women (43.8%), 38 were acute phase patients (26.0%), 39 were recovery phase patients (26.7%) and 69 were maintenance phase patients (47.3%). The mean UUIS score in stroke patients was 72.0 (SD 23.1) and was high, at 82.0 (SD 23.3), in acute phase patients, in particular. In addition, significant differences in UUIS were seen based on age (p = .031), stroke type (p = .031), time since onset (p = .006), the presence or absence of stroke sequelae (p = .013), stroke severity (NIHSS) (p = .000), and ADL (BI) (p = .001). In multiple regression analyses, stroke severity, time since onset, and age were associated with stroke patient uncertainty (R2 = .221).
[Conclusions] Stroke patients were characterized by uncertainty based on age, stroke type, time since onset, stroke severity (NIHSS), and ADL (BI). In particular, the uncertainty of acute phase stroke patients was higher compared to other chronic diseases due to time since onset, stroke severity (NIHSS), and ADL (BI). The three factors of stroke severity, time since onset, and age were associated with stroke uncertainty. In patients with high stroke severity (NIHSS 2 or higher), there was an indication that careful explanation and supplementation of information regarding the disease was required and that complicated information, such as disorders caused by the stroke and treatments, should be carefully explained to those 75 years and older (older people) as well as patients who experienced disease onset within less than 1 month.
Journal Title
Journal of Japanese Academy of Neuroscience Nursing
Japanese Academy of Neuroscience Nursing
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Published Date
本論文は,著者Eiko TOMIZAWAの学位論文として提出され,学位審査・授与の対象となっている。
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Degree Name
Doctor of Health Science
Tokushima University
Medical Sciences