Evaluation of quality of life in people with aphasia using a Dutch version of the SAQOL-39

Manders, Eric; Dammekens, Els; Leemans, Ilse; Michiels, Kristien

doi:10.3109/09638280903071867

Cited by 34 publications

(35 citation statements)

References 29 publications

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“…Studies exploring the impact of stroke on QoL have identified several relevant factors in stroke survivors, including gender [6,7], age [6,8,9,10,11,12], marital status [8,9], and educational level [11,13,14]. Patients with right-sided lesions are reported to experience poorer QoL than those with left-sided lesions [9,15].…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing Quality of Life Six Months after a First-Ever Ischemic Stroke: Focus on Thrombolyzed Patients

Numminen

Korpijaakko‐Huuhka²,

Parkkila³

et al. 2016

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Objective: This prospective follow-up study aimed to identify sociodemographic and clinical factors that may affect the quality of life (QoL) of patients with acute ischemic stroke during a 6-month follow-up. Patients and Methods: In the acute phase, sociodemographic and clinical data were collected using the National Institute of Health Stroke Scale, Barthel Index, and modified Rankin Scale. QoL was assessed with the Stroke and Aphasia Quality of Life Scale-39 6 months after stroke. Results: QoL was evaluated in 64 patients (aged 45-81 years) with a first-ever ischemic stroke. Thrombolytic therapy was given to 80% of the patients. Stroke severity, dependence in activities of daily living, degree of handicap, and length of hospitalization were associated with QoL. QoL was not associated with age, gender, marital status, or years of education. Conclusion: In this study, most patients were treated with thrombolysis, and QoL results resembled those of earlier studies on patients without thrombolysis. Despite good physical recovery, the patients reported impairments in QoL. QoL assessments can give clinicians a more holistic picture of stroke recovery from the patient's perspective.

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Section: Introductionmentioning

confidence: 99%

Factors Influencing Quality of Life Six Months after a First-Ever Ischemic Stroke: Focus on Thrombolyzed Patients

Numminen

Korpijaakko‐Huuhka²,

Parkkila³

et al. 2016

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“…The SAQOL-39 has been cross-culturally adapted for use in many countries and translated into several languages including, in Europe, Italian [19], Dutch [20], Greek [21], Slovene and Spanish [22]. The Greek version has been culturally adapted and linguistically validated in mainland Greece [21].…”

mentioning

confidence: 99%

Quality of Life after Stroke: Evaluation of the Greek SAQOL-39g

Efstratiadou¹,

Chelas²,

Ignatiou³

et al. 2012

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Background/Aims: Stroke and aphasia rehabilitation aims to improve people’s quality of life. Yet, scales for measuring health-related quality of life in stroke typically exclude people with aphasia. They are also primarily available in English. An exception is the 39-item generic version of the Stroke and Aphasia Quality of Life Scale (SAQOL-39g). This scale has been tested with people with aphasia; it has been adapted for use in many countries including Greece. The aim of this study was to examine the psychometric properties of the Greek SAQOL-39g. Methods: An interview-based psychometric study was carried out. Participants completed: receptive subtests of the Frenchay Aphasia Screening Test, the Greek SAQOL-39g, the 12-item General Health Questionnaire, the Frenchay Activities Index, the Montreal Cognitive Assessment and the Barthel Index. Results: 86 people took part; 26 provided test-retest reliability data. The Greek SAQOL-39g demonstrated excellent acceptability (minimal missing data; no floor/ceiling effects), test-retest reliability [intraclass correlation coefficient = 0.96 (overall scale), 0.83–0.99 (domains)] and internal consistency [Cronbach’s alpha = 0.96 (overall scale), 0.92–0.96 (domains)]. There was strong evidence for convergent [r = 0.53–0.80 (overall scale), 0.54–0.89 (domains)] and discriminant validity [r = 0.52 (overall scale), 0.04–0.48 (domains)]. Conclusion: The Greek SAQOL-39g is a valid and reliable scale. It is a promising measure for use in stroke and aphasia treatment prioritization, outcome measurement and service evaluation.

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“…However, findings are mixed regarding which domains are affected, possibly due to variability in the comparison groups surveyed. Compared to adults without aphasia but who have also experienced stroke or brain injury, adults with aphasia have reported lower HRQoL on emotional and mental functioning scales on the SF-36 and communication, psychosocial, and total scores of the Stroke and Aphasia Quality of Life Scale (SAQoL) (Manders, Dammekens, Leemans, & Michiels, 2010). However, compared to healthy controls, adults with aphasia showed additional impairments on SF-36 scales measuring general health, pain, physical functioning, and physical impact on role functioning , as well as SAQoL physical and energy scales (Manders et al, 2010).…”

Section: Adult Studiesmentioning

confidence: 99%

“…While these findings suggest that physical aspects of HRQoL may be affected in children with SaLD, the evidence is not compelling or supported by the broader speech-language pathology literature. For example, in studies of adults with aphasia, (e.g., Manders et al, 2010), participants only report lower physical functioning when compared to healthy controls rather than nonaphasic adults who are also post-stroke, demonstrating that physical difficulties relate to comorbid conditions rather than language problems. There would be no reason to expect that SaLD per se would result in lower scores for physical functioning and it is likely that any observed effects are due to co-morbid conditions, as children with SaLD often also have motor difficulties .…”

Section: Physical Domainmentioning

confidence: 99%

Contribution of speech/language difficulties to health-related quality-of-life in Australian children: a longitudinal analysis

Feeney¹

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Speech and/or language difficulties (SaLD) are among the most frequently observed developmental problems affecting children. Research points to the impact of childhood SaLD on literacy/educational achievement, behaviour and self-esteem; however, there has been limited attention paid to the impact of SaLD, directly or indirectly, on health-related qualityof-life (HRQoL). HRQoL is the impact a particular health condition (or intervention) has on an individual. HRQoL comprises numerous distinct dimensions ('domains', commonly physical, psychological and social). Very few studies have examined associations between HRQoL, SaLD, and other child and family factors and none have been undertaken in Australia. This research will explore these associations using data from a sample of children aged 4 to 9 years, extracted from the Longitudinal Study of Australian Children (LSAC), a nationally representative longitudinal study of childhood development. The rich data available in the LSAC afforded an opportunity to investigate various child and family factors that may be related to children's HRQoL and hence was well suited to exploratory research.Use of LSAC data also enabled tracking of children's outcomes over six years. The Disability-Stress-Coping (DSC) model (which examines physical health, mental health and social functioning in children with chronic illness) formed the basis for variable selection.This thesis comprises two studies, the first cross-sectional, and the second longitudinal. The cross-sectional study provided an exploration of the LSAC data and elicited variables which were appropriate for further analysis in the subsequent longitudinal investigation. Further, this study component enabled examination of relationships between HRQoL and SaLD while accounting for fine and gross motor skills which could not be examined in the longitudinal study component as there were no appropriate motor skills measures at Waves 4 and 5. The cross-sectional study involved analysis of data from the baby cohort (children aged 4-5 years) of the LSAC (n=4, 386). For this study, three domains of HRQoL were examined, assessed by the physical, emotional and social functioning subscales of the Pediatric Quality of Life Inventory (PedsQL TM ). SaLD was assessed in two ways: (1) parent concern about speech/language (Parents' Evaluation of Developmental Status) and (2) receptive vocabulary ability (adapted Peabody Picture Vocabulary Test-III).Multiple regression analyses were used to examine relationships at the cross-sectional level between HRQoL, SaLD, and various other explanatory variables including child specific factors (e.g., gender, ethnicity, temperament) and family characteristics (social-ecological considerations and psychosocial stressors).ii The longitudinal study examined the trajectory of HRQoL for children aged from 4 to 9 years and its relationship with SaLD. Generalised linear latent and mixed modelling (GLLAMM) was used to analyse data from Waves 3, 4 and 5 of the LSAC to understand HRQoL trajectories, asses...

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Evaluation of quality of life in people with aphasia using a Dutch version of the SAQOL-39

Cited by 34 publications

References 29 publications

Factors Influencing Quality of Life Six Months after a First-Ever Ischemic Stroke: Focus on Thrombolyzed Patients

Factors Influencing Quality of Life Six Months after a First-Ever Ischemic Stroke: Focus on Thrombolyzed Patients

Quality of Life after Stroke: Evaluation of the Greek SAQOL-39g

Contribution of speech/language difficulties to health-related quality-of-life in Australian children: a longitudinal analysis

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