Factors Predicting Activities of Daily Living among Patients with Stroke

Main Article Content

Nuntabhorn Tongtem
Wimolrat Puwarawuttipanit
Sarunya Koositamongkol

Abstract

Purpose: To study the predicting factors including rehabilitation service models, self-management support, income and nutritional status on activities of daily living performance in stroke patients.


Design: Predictive research.


Methods: The participants consisted of 126 ischemic stroke patients who came for follow-up after hospital discharge at neurology clinics, outpatient departments of two hospitals. Data were collected using a demographic questionnaire, the Barthel Index for Activities of Daily Living, Self-management Support Questionnaire and Nutritional Status Form. Multiple linear regression was applied to the data analysis.


Main findings: The results revealed that activity daily living of the participants was at high level (gif.latex?\bar{X} = 81.59, SD = 21.81) After being discharged from a stroke unit, the rehabilitation service model that the participants had most was out-patient rehabilitation service (38.1%). Overall, self-management support was at moderate level (gif.latex?\bar{X} = 3.13, SD = 0.73); and nutrition status was indicated as moderate malnutrition (gif.latex?\bar{X} = 9.24, SD = 3.30). All study factors could together explain 64% of the variance in the activity daily living (R2 = .64); however, only 3 factors including the rehabilitation service model, self-management support, and nutritional status were significant predictors.


Conclusion and recommendations: Healthcare team should promote continuous rehabilitation of each service model until patients with stroke return home. In addition, self-management should be supported by focusing on the patients’ involvement in treatment with health team. Their nutritional status should also be assessed and monitored to enable patients with stroke to increase their performance on activity daily living.

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How to Cite
Tongtem น., Puwarawuttipanit ว., & Koositamongkol ศ. (2022). Factors Predicting Activities of Daily Living among Patients with Stroke. Nursing Science Journal of Thailand, 40(3), 76–89. Retrieved from https://he02.tci-thaijo.org/index.php/ns/article/view/249168
Section
Research Papers

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