Post-stroke Health-related Quality Of Life Research Articles

Gait speed at the acute phase predicted health-related quality of life at 3 and 12 months after stroke: a prospective cohort study.

To investigate the association between acute-phase gait speed and health-related quality of life (HRQoL) at 3 and 12 months post-stroke. Prospective cohort study. 1,475 patients with first-ever ischaemic stroke. The patients were divided into 3 groups according to tertiles of gait speed, namely ≤0.8, 0.8-1.1, ≥1.1 m/s. Gait speed was assessed by the 10-m walking test within 2 weeks of hospitalization for acute stroke and before the rehabilitation programme. HRQoL measurements include the 3-level EuroQol five dimensions (EQ-5D-3L) index and EuroQoL visual analogue scale (EQ-VAS) scores. Linear and logistic regression analyses were used to identify associations between gait speed and HRQoL. Adjusted for all covariates, the highest gait speed tertile group were associated with higher EQ-5D-3L index (B = 0.0303 and B = 0.0228, respectively, p < 0.001), and higher EQ-VAS (B = 3.3038 and B = 3.8877, respectively, p < 0.001), and lower odds of having problems with mobility (OR = 2.55 [95% CI: 0.141-0.458] and 0.485 [0.289-0.812], respectively, p < 0.01), self-care (OR = 0.328 [95% CI: 0.167-0.646] and 0.412 [0.217-0.784], respectively, p < 0.01), and usual activities (OR = 0.353 [95% CI: 0.211-0.590] and 0.325 [0.198-0.536], respectively, p < 0.0001) at 3 and 12 months, and pain/discomfort at 12 months (OR = 0.558 [95% CI:0.335-0.930], p < 0.05). Acute-phase gait speed was predictive of post-stroke HRQoL at 3 and 12 months, especially when associated with domain-specific EQ-5D-3L.

Mediating Effects of Rehabilitation Motivation between Social Support and Health-Related Quality of Life among Patients with Stroke.

Post-stroke health-related quality of life (HRQoL) is poor, which is related to low social support levels and lack of rehabilitation motivation. However, there are limited studies that have systematically analyzed the mechanisms underlying this relationship in stroke patients. This study aimed to identify the mediating effects of rehabilitation motivation on the relationship between social support and HRQoL among stroke patients. A cross-sectional descriptive study was conducted on 176 Koreans aged ≥19 years who were admitted for rehabilitation treatment after stroke at three general hospitals in Jeonbuk. Data collection was conducted from September to December 2020 through face-to-face interviews using structured questionnaires and review of medical records. The significance of the mediation model was tested using SPSS 25.0 and the PROCESS macro for SPSS v3.5. Significant associations were identified between social support and HRQoL. Our findings revealed an indirect effect, suggesting that the effects of social support on HRQoL are mediated by rehabilitation motivation (B = 0.004, 95% bias-corrected bootstrap confidence interval = 0.002, 0.006). Social support for stroke patients had a positive effect on HRQoL, and rehabilitation motivation was found to have a partial mediating effect on this relationship. This study suggests that social support from healthcare professionals and families for post-stroke can improve patients' HRQoL by inducing positive rehabilitation motivation. Therefore, developing intervention strategies to motivate rehabilitation could improve the HRQoL of patients with stroke.

Association between in-hospital frailty and health-related quality of life after stroke: the Nor-COAST study

BackgroundStroke survivors are known to have poorer health-related quality of life (HRQoL) than the general population, but less is known about characteristics associated with HRQoL decreasing through time following a stroke. This study aims to examine how in-hospital frailty is related to HRQoL from 3 to 18 months post stroke.MethodSix hundred twenty-five participants hospitalised with stroke were included and followed up at 3 and/or 18 months post stroke. Stroke severity was assessed the day after admission with the National Institutes of Health Stroke Scale (NIHSS). A modified Fried phenotype was used to assess in-hospital frailty; measures of exhaustion, physical activity, and weight loss were based on pre-stroke status, while gait speed and grip strength were measured during hospital stay. HRQoL at 3- and 18-months follow-up were assessed using the five-level version of the EuroQol five-dimensional descriptive system (EQ-5D-5L) and the EuroQol visual analogue scale (EQ-5D VAS). We conducted linear mixed effect regression analyses unadjusted and adjusted for sex, age, and stroke severity to investigate the association between in-hospital frailty and post-stroke HRQoL.ResultsMean (SD) age was 71.7 years (11.6); mean NIHSS score was 2.8 (4.0), and 263 (42.1%) were female. Frailty prevalence was 10.4%, while 58.6% were pre-frail. The robust group had EQ-5D-5L index and EQ-5D VAS scores at 3 and 18 months comparable to the general population. Also at 3 and 18 months, the pre-frail and frail groups had significantly lower EQ-5D-5L indices than the robust group (p < 0.001), and the frail group showed a larger decrease from 3 to 18 months in the EQ-5D-5L index score compared to the robust group (− 0.056; 95% CI − 0.104 to − 0.009; p = 0.021). There were no significant differences in change in EQ-5D VAS scores between the groups.ConclusionThis study on participants mainly diagnosed with mild strokes suggests that robust stroke patients have fairly good and stable post-stroke HRQoL, while post-stroke HRQoL is impaired and continues to deteriorate among patients with in-hospital frailty. This emphasises the importance of a greater focus on frailty in stroke units.Trial registrationClinicalTrials.gov (NCT02650531).

Health-related quality of life, anxiety and depression up to 12 months post-stroke: Influence of sex, age, stroke severity and atrial fibrillation – A longitudinal subanalysis of the Find-AFRANDOMISED trial

BackgroundStroke can negatively impact the health-related quality of life (HRQoL). Anxiety or depression after stroke have been associated with poorer HRQoL, higher mortality and greater dependence in activities of daily living. We aimed to analyze HRQoL, anxiety and depressive symptoms in patients with and without atrial fibrillation (AF) up to 12 months post-stroke. MethodsFind-AFRANDOMISED was a prospective, randomized multicenter study, which included 398 patients ≥60 years with acute cerebral ischemia. HRQoL data were collected using the 3-level EuroQol-5D (EQ-5D-3L) and Stroke Impact Scale (SIS-16). Anxiety and depressive symptoms were measured using the Hospital Anxiety and Depression Scale (HADS). The severity of stroke was measured using the modified Rankin Scale (mRS). ResultsIn this study (mean age 72.7 ± 7.5 years, 40.2% females), there was a significant improvement in HRQoL using EQ-5D-3L after 3 months (β = 0.37, p < .01), 6 months (β = 0.43, p < .01) and 12 months (β = 0.44, p < .01) post-stroke compared to baseline. HADS anxiety scores after 3 months (β = −0.22, p < .01) and 12 months (β = −0.28, p < .01) were significantly reduced. Older patients reported reduced HRQoL and more depressive symptoms. Females indicated lower HRQoL and more anxiety. mRS score at baseline was an independent predictor for HRQoL. There was a significant but small effect of AF on EQ-5D-3L and on HADS anxiety. ConclusionsPatients showed significant improvement in HRQoL and reduced anxiety after 3 and 12 months after stroke. We could demonstrate that the severity of stroke as well as sex and age impact long-term post-stroke HRQoL. Clinical trial registrationClinical Trial Registration-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01855035.

Utility-Weighted Modified Rankin Scale Scores for the Assessment of Stroke Outcome: Pooled Analysis of 20 000+ Patients.

Patient-centered care prioritizes patient beliefs and values towards wellbeing. We aimed to map functional status (modified Rankin Scale [mRS] scores) and health-related quality of life on the European Quality of Life 5-dimensional questionnaire (EQ-5D) to derive utility-weighted (UW) stroke outcome measures and test their statistical properties and construct validity. UW-mRS scores were derived using linear regression, with mRS as a discrete ordinal explanatory response variable in 8 large international acute stroke trials. Linear regression models were used to validate UW-mRS scores by assessing differences in mean UW-mRS scores between the treatment groups of each trial. To explore the variability in EQ-5D between individual mRS categories, we generated receiver operator characteristic curves for EQ-5D to differentiate between sequential mRS categories and misclassification matrix to classify individual patients into a matched mRS category based on the closest UW-mRS value to their observed individual EQ-5D value. Among 22 946 acute stroke patients, derived UW-mRS across mRS scores 0 to 6 were 0.96, 0.83, 0.72, 0.54, 0.22, -0.18, and 0, respectively. Both UW-mRS and ordinal mRS scores captured divergent treatment effects across all 8 acute stroke trials. The sample sizes required to detect the treatment effects using UW-mRS scores as a continuous variable were almost half that required in trials for a binary cut point on the mRS. Area under receiver operator characteristic curves based on EQ-5D utility values varied from 0.66 to 0.81. Misclassification matrix showed moderate agreement between actual and matched mRS scores (kappa, 0.68 [95% CI, 0.67-0.68]). Medical strategies that target avoiding dependency may provide maximum benefit in terms of poststroke health-related quality of life. Despite variable differences with mRS scores, the UW-mRS provides efficiency gains as a smaller sample size is required to detect a treatment effect in acute stroke trials through use of continuous scores. Registration: URL: https://www.clinicaltrials.gov; Unique identifiers: NCT00226096, NCT00716079, NCT01422616, NCT02162017, NCT00120003, NCT02123875. URL: http://ctri.nic.in; Unique identifier: CTRI/2013/04/003557. URL: https://www.isrctn.com; Unique identifier: ISRCTN89712435.

Factors associated with health related quality of life of patients with stroke in Sri Lankan context

BackgroundStroke is a major global health concern which affects the health related quality of life (HRQOL). As the prevalence of stroke is increasing especially in lower-middle income countries, it is vital to identify the factors associated with the HRQOL of affected individuals.Available literature for post stroke HRQOL and the associated factors are mainly from high income countries. Therefore, we conducted this study to identify the factors associated with HRQOL of stroke survivors using a stroke specific measure.MethodsA longitudinal study was conducted with the participation of 257 stroke survivors. Participants were followed up after 3 months at the neurology and medical clinics in the Teaching Hospital, Karapitiya, Sri Lanka.Health related quality of life was assessed using the validated version of Stroke Aphasia Quality of Life (SAQOL)-39 generic scale. Pearson correlation, independent sample t-test, one-way ANOVA and regression analysis were used to identify the factors associated with quality of life.ResultsMean age of the participants with stroke was 66.1 (SD 11.7) years. The mean overall HRQOL was 3.15 (SD 0.96) as measured by the SAQOL-39 g. The socio-demographic factors which had significant associations with HRQOL were; gender, level of education, marital status, occupation and monthly income (p < 0.05). The clinical factors which had significant associations with HRQOL were; level of dependence and disability, type of stroke, side of the lesion, type of aphasia, level of language impairment, receiving physiotherapy and speech therapy and follow up care (p < 0.05). The results of regression indicated six independent predictors [F (6,234) = 42.6, p < 0.05], with an R2 of 0.52. The HRQOL was significantly predicted by the level of dependence (β = .43, p < .01), level of language impairment (β = .20, p < .01), age (β = −.23, p < .01), type of stroke (β = −.19, p < .01), side of the lesion (β = .17, p < .01) and the level of education (β = .12, p < .05).ConclusionSevere degree of dependence, severe level of language impairment, older age, hemorrhagic stroke, and lesions in the left side were associated with lower HRQOL. Higher education level was associated with higher HRQOL scores.

Post-stroke health-related quality of life at 3 and 12 months and predictors of change in a Danish and Arctic Norwegian Region.

To investigate changes in health-related quality of life between 3- and 12-months post-stroke in a north Norwegian and a Danish region that organize their rehabilitation services differently, and to identify clinically relevant predictors of change. Prospective multicentre cohort study. In total, 304 patients with first-ever stroke (male sex 59%, mean age 68.7 years) participated from Norway (n = 170) and Denmark (n = 134). The Quality of Life after Brain Injury-Overall Scale (QOLIBRI-OS) was administered twice to measure change in satisfaction with function and wellbeing. QOLIBRI-OS scores showed a small statistically significant difference in favour of Norway at 12 months post-stroke (p = 0.02; Cohen's d = 0.26). Using a calculated minimal clinically important difference score of 12, 20% reported worse, 54% unchanged and 26% better QOLIBRI-OS scores between 3 and 12 months. Age below 65 years predicted a negative change (odds ratio (OR) 0.4, p = 0.007). In this population with mild and moderate stroke, QOLIBRI-OS scores were slightly higher in the Norwegian region. Approximately 50% of participants experienced clinically important changes in satisfaction with functioning and wellbeing between 3 and 12 months post-stroke. Younger age predicted negative change. This result could indicate increased rehabilitation needs over time in young patients and should be investigated further.

Health-related quality of life loss associated with first-time stroke.

ObjectivesThis study aimed to quantify health-related quality of life (HRQoL) loss associated with first episode of stroke by comparing patient-reported HRQoL before and after stroke onset. The impact of stroke in local population was also evaluated by comparing the pre- and post-stroke HRQoL with that of the general population.MethodsThe HRQoL of stroke survivors was assessed with the EQ-5D-3L index score at recruitment, for recalled pre-stroke HRQoL, and at 3 and 12 month post-stroke. Change in HRQoL from pre-stroke to 3 and 12 month was self-reported by 285 and 238 patients, respectively. Mean EQ index score at each time point (baseline: 464 patients; 3 month post-stroke: 306 patients; 12 month post-stroke: 258 patients) was compared with published population norms for EQ-5D-3L.ResultsThere was a significant decrease in HRQoL at 3 (0.25) and 12 month (0.09) post-stroke when compared to the retrospectively recalled patients’ mean pre-stroke HRQoL level (0.87). The reduction at 3 month was associated with the reduction in all EQ-5D-3L health dimensions; reductions remaining at 12 month were limited to dimensions of mobility, self-care, usual activities, and anxiety/depression. Stroke patients had a lower mean EQ index than the general population by 0.07 points pre-stroke (0.87 vs. 0.94), 0.33 points at 3 month (0.61 vs. 0.94) and 0.18 points at 12 month (0.76 vs. 0.94) post-stroke.ConclusionsStroke has a substantial impact on HRQoL in Singapore, especially in the first three months post-stroke. Compared to the general population, stroke survivors have lower HRQoL even before stroke onset. This pre-stroke deficit in HRQoL should be taken into account when quantifying health burden of stroke or setting goals for stroke rehabilitation.

The relationship between patients’ illness beliefs and recovery after stroke

ABSTRACTThe Common Sense Model (CSM) is a useful framework for understanding mood and treatment adherence amongst survivors in the acute phase of stroke. CSM stroke studies have thus far focused on the single outcomes, mood and medication adherence, neglecting other aspects of post-stroke recovery (i.e., Health-Related Quality of Life (HRQL) and disability). The purpose of this study was to examine relationships between baseline illness beliefs and three-month post-stroke HRQL, mood and disability. A longitudinal observational design was adopted, involving 50 survivors (mean age = 66.9 years, 68% male). The primary outcome, HRQL, was measured using EQ-5D-5L. The secondary outcome, mood was measured using the Patient Health Questionnaire-9; and disability, using the Nottingham Extended Activities of Daily Living Scale. The Stroke Illness Perception Questionnaire-Revised measured illness beliefs. Spearman’s correlations showed that beliefs about the fluctuating effects of stroke (ρ = 0.50, p < 0.001) and considerable distress at baseline were significantly associated with worse mood three-months post-stroke (ρ = 0.41, p < 0.001). Baseline illness beliefs were not significantly related to three-month post-stroke HRQL or disability. Despite being limited by a modest sample size, the findings reiterated the need for routine clinical assessment of mood immediately after stroke, and indicated that simultaneous measurement of illness beliefs may also be beneficial.

Predicting Domain-Specific Health-Related Quality of Life Using Acute Infarct Volume

Limited data exist on the relationship between acute infarct volume and health-related quality of life (HRQOL) measures after ischemic stroke. We evaluated whether acute infarct volume predicts domain-specific Neuro-Quality of Life scores at 3 months after stroke. Between 2012 and 2014, we prospectively enrolled consecutive patients with ischemic stroke and calculated infarct volume. Outcome scores at 3 months included modified Rankin Scale and Neuro-Quality of Life T scores. We evaluated whether volume organized by quartiles predicted modified Rankin Scale and HRQOL scores at 3 months using logistic and linear regression as appropriate, adjusting for relevant covariates. We calculated variance accounted for (R2) overall and by volume for each domain of HRQOL. Among 490 patients (mean age 64.2±15.86 years; 51.2% male; 63.3% White) included for analysis, 58 (11.8%) were disabled (modified Rankin Scale score of >2) at 3 months. In unadjusted analysis, the highest volume quartile remained a significant predictor of 1 HRQOL domain, applied cognition-general concerns (R2=0.06; P<0.001). Our fully adjusted prediction model explained 32% to 51% of the variance in HRQOL: upper extremity (R2=0.32), lower extremity (R2=0.51), executive function (R2=0.45), and general concerns (R2=0.34). Acute infarct volume is a poor predictor of HRQOL domains after ischemic stroke, with the exception of the cognitive domain. Overall, clinical and imaging variables explained <50% of the variance in HRQOL outcomes at 3 months. Our data imply that a broad range of factors, some known and others undiscovered, may better predict poststroke HRQOL than what is currently available.

Abstract TP153: Post Stroke Fatigue and Depression Predict Lower Health Related Quality of Life in Stroke Patients

Background and Purpose: Post stroke fatigue (PSF) is a common and debilitating condition that can last months or even years. Although the relationship between PSF and Health Related Quality of Life (HRQoL) has been studied, the results have been largely inconclusive and not previously reported in a minority cohort. Hypothesis: Higher levels of PSF and Post Stroke Depression (PSD), will predict lower levels of HRQoL in African/Caribbean Blacks. Methods: Prospective, cross-sectional, observational study approved by the IRB. Patients ≥ 18 years old with a stroke in the past 3 years were enrolled. Standardized questionnaires were administered to assess the patients’ levels of PSF [Fatigue Assessment Scale (FAS)], HRQoL [Short Form-36 (SF-36)], and PSD [Beck’s Depression Inventory (BDI)]. Stroke related disability was assessed by modified Rankin Scale (mRS). Responses to the SF-36 were weighted and then averaged in accordance to standard practices. FAS, BDI, and mRS scores were dichotomized and adjusted for gender. A multiple linear regression model was constructed for the HRQoL overall score. The dichotomized FAS, BDI, and mRS scores, age and gender were considered as predictors. Results: Of 100 patients enrolled (55% female), mean age = 66.7 years ± 12.8; 93% African or Caribbean American, 86% with hypertension, 53% with diabetes, and 37% with a family history of stroke/TIA. The prevalence of stroke related disability (mRS ≥ 2) was 63%, PSF (FAS≥22) was 51%, PSD (BDI ≥11) was 24%. Both PSF and PSD was seen in 20%. The cohort’s mean SF-36 score was 51.6 ± 21.1. BDI &lt;11 was associated with a score 9.5 units higher on the SF-36 (95% CI: 2.3-16.8, p =0.01) than BDI ≥ 11; mRS &lt;2 was associated with 19.8 units higher score on the SF-36 (95%CI: 13.7-25.8, p&lt;0.0001) than mRS≥2. FAS score&lt;22 was associated with 15.0 higher HRQoL score (95%CI: 8.9-21.1, p &lt;0.0001) than FAS≥ 22. The analysis was adjusted for gender ( p =0.10), while age ( p =0.29) was not included. BDI, mRS, FAS, and gender accounted for 56% of the variability in the HRQoL score. Conclusion: Our results suggest that both PSF and PSD are significantly correlated with a lower HRQoL. In this minority cohort, over half of post-stroke HRQoL is attributed to depression, disability, fatigue, and female gender.

Predictors of health-related quality of life in community-dwelling stroke survivors: a cohort study.

Impaired health-related quality of life (HRQoL) post stroke is common, though prevalence estimates vary considerably. Few longitudinal studies explore post-stroke patterns of HRQoL and factors contributing to their change over time. Accurately identifying HRQoL after stroke is essential to understanding the extent of stroke effects. This study aimed to assess change in levels of, and identify independent predictors of, HRQoL over the first 12-months post-stroke. Design. A prospective cohort study. Community-dwelling stroke survivors in metropolitan Newcastle, New South Wales (NSW), Australia. Consecutively recruited stroke patients (n = 134) participated in face-to-face interviews at baseline, 3, 6, 9 and 12 months. HRQoL (measured using the Assessment Quality-of-life).Independent measures. Physical and psycho-social functioning, including depression and anxiety (measured via Hospital Anxiety and Depression Scale), disability (Modified Rankin Scale), social support (Multi-dimensional Scale Perceived Social Support) and community participation (Adelaide Activities Profile). A linear mixed model was used to establish the predictors of, change in HRQoL over time. On multivariable analysis, HRQOL did not change significantly with time post-stroke. Higher HRQoL scores were independently associated with higher baseline HRQoL (P = 0.03), younger age (P = 0.006), lower disability (P = 0.003), greater community participation (P ≤ 0.001) and no history of depression (P = 0.03). These results contribute to an understanding of HRQoL in the first year post-stroke. Community participation and stroke-related disability are potentially modifiable risk factors affecting post-stroke HRQoL. Interventions aimed at addressing participation and disability post-stroke should be developed and tested.

Social Support after Stroke: Influence of Source of Support on Stroke Survivors’ Health-Related Quality of Life

Introduction: Social support has often been identified as a key determinant of important stroke outcomes such as health-related quality of life (HRQoL). Information on the influence of the specific sources of social support on poststroke HRQoL is however scarce. This study examined the influence of social support received from family, friends and significant others on stroke survivors’ HRQoL. Methods: One hundred consenting stroke survivors were purposively recruited from two tertiary hospitals in Northern Nigeria into this cross-sectional study. Data on the stroke survivors’ sociodemographic and stroke-related attributes were obtained. Perceived support from friends, family and significant others was assessed using the Multidimensional Scale of Perceived Social Support (MSPSS) while HRQoL was assessed using the Stroke-Specific Quality of Life-12 (SS-QoL-12) measure. Hierarchical regression analysis was used to identify the independent influence of the

The Influence of Depressive Symptoms on Quality of Life after Stroke: A Prospective Study

Poststroke depressive symptoms have prospectively predicted impairment of health-related quality of life (HRQOL). However, it is not known whether such predictive effect is independent of HRQOL at 1 month after stroke. This study aimed to investigate the impact of depressive symptoms at 1 and 3 months after stroke on the 3-month poststroke HRQOL and to investigate the influence of the HRQOL measured at 1 month after stroke on these relationships. We prospectively evaluated 67 patients at 1 and 3 months after a first-ever ischemic stroke from 106 eligible patients who have been consecutively admitted to the neurology ward of a teaching hospital. A psychiatrist assessed the presence of depressive symptoms using the 31-item version of the Hamilton Rating Scale for Depression and the HRQOL was assessed with the 36-item Short-Form Health Survey from the Medical Outcomes Study. We used linear regression to measure the impact of depressive symptoms, HRQOL at 1 month, and potential confounders on HRQOL at 3 months. We found an association between depressive symptoms at 1 month and HRQOL at 3 months after the stroke; however, this association was not significant when adjusting for the 1 month poststroke HRQOL. Depressive symptoms at 3 months were associated with HRQOL at 3 months after stroke, independently of the poststroke HRQOL at 1 month and potential confounders. Current depressive symptoms at 3 months are important for HRQOL at 3 months after stroke; however, regarding the prospective prediction, HRQOL at 1 month is the most relevant factor.

Predictors of poststroke health-related quality of life in Nigerian stroke survivors: a 1-year follow-up study.

This study aims to identify the predictors in the different aspects of the health-related quality of life (HRQoL) and to measure the changes of functional status over time in a cohort of Nigerian stroke survivors. A prospective observational study was conducted in three hospitals of Kano state of Nigeria where stroke survivors receive rehabilitation. The linguistic-validated Hausa versions of the stroke impact scale 3.0, modified Rankin scale, Barthel index and Beck depression inventory scales were used. Paired samples t-test was used to calculate the amount of changes that occur over time and the forward stepwise linear regression model was used to identify the predictors. A total of 233 stroke survivors were surveyed at 6 months, and 93% (217/233) were followed at 1 year after stroke. Functional disabilities were significantly reduced during the recovery phase. Motor impairment, disability, and level of depression were independent predictors of HRQoL in the multivariate regression analysis. The involvement of family members as caregivers is the key factor for those survivors with improved functional status. Thus, to enhance the quality of poststroke life, it is proposed that a holistic stroke rehabilitation service and an active involvement of family members are established at every possible level.

The Influence of Psychological Factors on Health-Related Quality of Life after Stroke: A Systematic Review

Many stroke patients experience problems with health-related quality of life, but much of the variance of health-related quality of life after stroke remains unexplained. Health-related quality of life may be influenced by psychological factors, as these factors reflect the way people approach situations and react to stressful situations. The aim of this study was to systematically examine the relationship between psychological factors and health-related quality of life after stroke. A systematic literature search was conducted in online databases PubMed, Embase, PsycINFO, and CINAHL in November 2011. A total of nine studies were included. Personality (i.e., problems of temperament and personality functions and neuroticism) was moderately negatively associated with health-related quality of life (r = 0.26-0.49). Coping (i.e., situational and personal adaptation), internal locus of control, self-worth (i.e. self-esteem and self-efficacy), and hope and optimism were moderately positively associated with health-related quality of life (r = 0.026-0.81). No evidence was found for an association between extraversion and health-related quality of life. There is still a paucity of studies on psychological determinants of poststroke health-related quality of life. The reviewed studies supported the importance of psychological factors, but further research is needed to supplement the available evidence and to examine how psychological factors can be modified to improve health-related quality of life, and at what moment after the stroke these interventions should be given.

Consistent determinants of post-stroke health-related quality of life across diverse cultures: Berlin-Ibadan study

Discovery of consistent determinants of post-stroke health-related quality of life (HRQOL) across different cultures is essential for the development of widely applicable therapeutic models for maximizing HRQOL in stroke patients. The objective of this study was to identify variables with consistent effect on post-stroke HRQOL across disparate cultures. Detailed socio-demographic and clinical data were obtained from successive stroke patients (≥1 month post-stroke) from Ibadan, Nigeria (n = 100) and Berlin, Germany (n = 103). Stroke severity was assessed using the National Institute of Health Stroke Scale and stroke levity score, while disability was graded with modified Rankin Scale. HRQOL was measured with the psychometrically robust holistic HRQOL in stroke patients (HRQOLISP) instrument. Variables with significant univariate or bivariate relationships to HRQOL were included in the multiple forward stepwise regression analysis at P = 0.05. In disparate cultures, marital status (0.091 < P < 0.902) and stroke type (0.357 < P < 0.975) had no significant relationship to HRQOL. In regression models explaining up to 86% of the HRQOL variance in Ibadan and 70% of the HRQOL variance in Berlin; stroke severity, disability, emotional disorder, and sense of purpose in life were the key predictors of HRQOL after stroke (P < 0.0001 to P < 0.04). Based on these consistent determinants, the stroke recovery cycle, a novel therapeutic model aimed at improving sense of purpose and meaning in life after stroke while promoting emotional and physical well-being, is proposed for further exploration.

Determining quality of life in stroke survivors

Post-stroke health-related quality of life (HRQoL) reflects a comprehensive view of subjective health and a measure of a person’s perceived physical, mental and social health following stroke. Generic scales may enable comparisons between groups of patients with a diverse range of conditions, although they may underestimate the effect of stroke owing to its limited content validity. Stroke-specific HRQoL measures were designed to assess relevant domains that are important to stroke patients. The Stroke Impact Scale, the Stroke Specific Quality of Life scale and The Burden of Stroke Scale are specific HRQoL instruments developed in the last decade. Demographic factors, comorbidity, stroke severity, disability and psychosocial factors (e.g., post-stroke depression and social support) are significant predictors of HRQoL in stroke survivors. Stroke caregiver burden and HRQoL are inversely correlated. HRQoL measures are increasingly used to evaluate the effect of some therapeutic interventions in stroke survivors.

Health-related quality of life in people with aphasia: Implications for fluency disorders quality of life research

It is increasingly important that clinicians address the health-related quality of life (HRQOL) of adults with communication disorders in clinical practice. The overall aim of this paper is to draw conclusion about the suitability of the Short Form 36 Health Survey for the communication disorders of aphasia and stuttering. This study reports on the impact of post-stroke aphasia on 30 Australian older adults’ HRQOL. It also comments on the capacity of the SF-36 to measure HRQOL in this population, specifically whether it is sensitive to the three known determinants of post-stroke HRQOL – emotional, physical and social functioning. Comparisons with other data are made to assist interpretation of the SF-36 subscale scores: with 75 older adults with no history of neurological conditions; and with data from the 1995 National Health Survey data. The main findings are: (1) adults with post-stroke aphasia have similar HRQOL to their peers on six subscales, but significantly lower Role emotional and Mental health HRQOL; (2) a substantial number of aphasic adults reported depressive mood; and (3) aphasic adults with depressive mood have significantly worse HRQOL on six subscales than aphasic adults without depressive mood, but similar Role emotional and Body pain HRQOL. In conclusion, stroke and aphasia have minimal impact on older adults’ HRQOL as measured by the SF-36, which conflicts with an established evidence base of the negative consequences of aphasia on life. Thus, the SF-36 is not advisable for use with aphasic adults. Implications of these findings for aphasia and stuttering are discussed. Educational objectives: The reader will be able to: (a) describe the impact of aphasia and depressive mood on quality of life; (b) compare the impact of aphasia on the quality of life of adults to adults who do not have aphasia; (c) describe the similarities and differences between quality of life of adults with aphasia and adults who stutter; and (d) describe the strengths and limitations of the SF-36 as a measure of quality of life in adults who stutter versus adults with aphasia.

What Are the Consistent Predictors of Generic and Specific Post-Stroke Health-Related Quality of Life?

Background: In order to improve post-stroke health-related quality of life (HRQOL), it is crucial to focus scarce health care and research resources towards its consistent determinants. Disparities in reported determinants of post-stroke HRQOL may be due to the use of different instruments (generic or specific) in different populations. This is the first study to identify factors which consistently influenced both generic and specific post-stroke HRQOL in the same study population. Methods: One hundred consecutive consenting stroke survivors were assessed using the stroke levity scale (SLS), modified Rankin scale (mRS), SF-36 and HRQOL in stroke patients (HRQOLISP) measure. Employing multiple regression analysis (R² = 0.63), potential predictors were sought among age, gender, socioeconomic class (SEC), aphasia, post-stroke duration, side, type and number of strokes, SLS, mRS, social support and Likert scale-graded responses to laughter and negative-feeling frequency. Results: Gender, SEC and stroke type had no significant impact on HRQOL. The consistent independent statistical predictors of several facets of generic and stroke-specific HRQOL were stroke severity, disability, laughter and negative-feeling frequencies. Conclusions: While stroke severity, a component of physical health, impaired psychological health, psychological dysfunction in turn negatively influenced physical and other domains of health, thereby creating a vicious cycle. These multidirectional interactions may involve neural, social and existential mechanisms which remain to be confirmed, elucidated and exploited.