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. 2015 Aug 5:13:118.
doi: 10.1186/s12955-015-0314-5.

Potential predictors for health-related quality of life in stroke patients undergoing inpatient rehabilitation

Chien-Min Chen  1   2 , Chih-Chien Tsai  3   4 , Chia-Ying Chung  5   6 , Chia-Ling Chen  7   8 , Katie Ph Wu  9   10 , Hsieh-Ching Chen  11
Affiliations

Potential predictors for health-related quality of life in stroke patients undergoing inpatient rehabilitation

Chien-Min Chen et al. Health Qual Life Outcomes. .

Abstract

Background: Improving HRQOL is the desired outcome for patients with stroke undergoing inpatient rehabilitation services. This study aimed to comprehensively identify the potential health-related quality of life (HRQOL) predictors in patients with stroke undergoing inpatient rehabilitation within the first year after stroke; thus far, such an investigation has not been conducted.

Methods: We enrolled 119 patients (88 males, 31 females) with stroke, and examined 12 potential predictors: age, sex, stroke type, stroke side, duration after onset, cognition (Mini-Mental State Examination; MMSE), depression (Beck Depression Inventory-II), stroke severity (National Institutes of Health Stroke Scale; NIHSS), upper- and lower-extremity motor function scores of the Fugl-Meyer Assessment (FMA) scale, balance (Berg Balance Scale; BBS), and functional status (Functional Independence Measure). HRQOL was measured using Stroke Impact Scale (SIS) 3.0.

Results: NIHSS score predicted the strength domain and total SIS score (41.5% and 41.7% of the variances, respectively). BBS score was a major predictor of mobility and participation/role domains (48.6% and 10% of the variances, respectively). MMSE score predicted the memory and communication domains (22.5% and 36.3% of the variances, respectively). Upper extremity score of the FMA scale predicted the daily living/instrumental activities of daily life and hand function domains (40.3% and 20.6% of the variances, respectively). Stroke side predicted the emotion domain (11.6% of the variance).

Conclusions: NIHSS, MMSE, BBS, FMA, and stroke side predicted most HRQOL domains. These findings suggest that different factors predicted various HRQOL domains in patients with stroke.

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