Objective: The number of people with stroke increases worldwide. The stroke survivors live with disabilities and those influence their quality of life (QOL). This study was aimed to investigate the association between clinical characteristics and QOL of the older people with stroke at discharge from the hospital. Methods: This is a cross-sectional study. The participants were 113 stroke survivors aged 60 years and older admitted to the stroke unit. Quality of life was the study's outcome which measured by using the abbreviated version of the World Health Organization Quality of Life (WHOQOL-BREF). Primary clinical characteristics were measured by the National Institute of Health Stroke Scale (NIHSS), Barthel Index (BI), and Modified Rankin Scale (mRS). Potential confounding factors were age, sex, education levels, marital status, current occupation, and comorbidity (hypertension, diabetes mellitus, dyslipidemia, and heart disease). Multiple linear regression was used for data analysis. Results: The main effects of clinical outcomes were high BI Score that had a significant difference association with QOL (β = 0.312, 95% CI = 0.042, 0.296, P = 0.009), lower mRS score also had significant difference association with QOL (β = −0.371, 95%CI = −5.394, −1.162, P = 0.003) after all adjusting. Additional risk factor in this study was marital status (currently married) (β = 0.155, 95% CI = 0.226, 8.666, P = 0.039). Conclusion: Low function status and severe stroke disability as the clinical characteristics were associated with QOL in older people with stroke at hospital discharge. An additional factor was marital status (currently married).
Aim This study aimed to investigate the association between depression score and medication adherence in stroke survivor older adults. Methods The participants were 102 stroke survivor older adults. The outcome was medication adherence during a 6‐month follow‐up. The independent variable was the depression score which was assessed by the Patient Health Questionnaire‐9 (PHQ‐9). The confounding factors included sociodemographic data, clinical characteristics, number of comorbidities, and number of medications. We analyzed the association between depression and medication adherence using multiple linear regression analyses. Results The PHQ‐9 score of stroke survivor older adults at the baseline was 1.11±2.03, and at the 6‐month follow‐up was increased to 5.06±3.91. The medication adherence mean score at the outcome was 4.15±1.83. After full adjustment, the PHQ‐9 scores at baseline and 6‐month follow‐up were significantly associated with medication adherence (β = −.315, 95% CI = −.483 to −.086, p = 0.006 and β = −.270, 95% CI = −.238 to −.020, p = 0.021, respectively). Other variables that affect medication adherence during a 6‐month follow‐up included living with others and a lower number of medications. Conclusion This study revealed that lower depression scores were associated with high medication adherence in post‐stroke older adults. Additionally, living with others and a lower number of medications were associated with medication adherence. Therefore, stroke survivor older adults should be assessed for depression and given medication, and education should be used to improve mediation adherence, especially for the ones who live alone and have polypharmacy to prevent recurrent stroke.
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