The stroke impact scale: performance as a quality of life measure in a community-based stroke rehabilitation setting

2015 ◽  
Vol 38 (14) ◽  
pp. 1425-1430 ◽  
Author(s):  
Marina Richardson ◽  
Nerissa Campbell ◽  
Laura Allen ◽  
Matthew Meyer ◽  
Robert Teasell
Keyword(s):  
Quality Of Life ◽  
Stroke Rehabilitation ◽  
Community Based ◽  
Life Measure ◽  
Stroke Impact Scale ◽  
Impact Scale

scholarly journals Translation and cultural adaptation of the stroke impact scale 2.0 (SIS): a quality-of-life scale for stroke

2018 ◽  
Vol 136 (2) ◽  
pp. 144-149
Author(s):  
Aline Dias Brandão ◽  
Natasha Bertocco Teixeira ◽  
Maria Claudia Brandão ◽  
Milena Carlos Vidotto ◽  
José Roberto Jardim ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cultural Adaptation ◽  
Stroke Impact Scale ◽  
Impact Scale ◽  
Quality Of Life Scale ◽  
Life Scale ◽  
Translation And Cultural Adaptation

scholarly journals Effect of Gait Parameters On Balance and Quality of Life in Recovering Stroke Patients- A Correlation Study

2021 ◽  
Vol 6 (2) ◽  
Keyword(s):  
Quality Of Life ◽  
Stride Length ◽  
Correlation Study ◽  
Gait Velocity ◽  
Walking Ability ◽  
Stroke Patients ◽  
Gait Parameters ◽  
Stroke Impact Scale ◽  
Impact Scale

Introduction: Stroke is neurovascular disease caused by disruption of blood flow to brain, result in neurological deficit. As a consequence of stroke there will be loss of leg strength and impaired balance that may affect walking ability. Gait parameters are also affected as a consequences of stroke. Overall affection of gait parameters and balance will affect Quality of Life. Objective: The study is conducted to find out relationship between Gait parameters, Balance and Quality of Life in recovering stroke patients- A Correlation Study” Material and Methodology: Total 32 patients were screened as per inclusion and exclusion criteria. Demographic data was taken. At the time of discharge from the hospital Health status was assessed with use of stroke Impact scale. TUG was taken to measure the Balance. Gait velocity was calculated by use of 6 minute walk test. Result: Total 32 Recovering stroke Patients have participated in the study. All the stroke patients who have participated in the study were having mean age of 52.65 years and participants of both the genders were included. Amongst the participants’ males were 78.21% and females were 21.9%. Were included in the study. Participants with both sided strokes were consider for data collection. Stroke impact scale score has found to have positive correlation with Gait velocity, and stride length, and negative correlation with TUG. (P = .001 to P = .031). TUG score correlated negatively with Gait Velocity and Stride Length. Conclusion: Gait parameters have impact on Quality of Life have but will not produce much difference on balance. There is no significant influence of gait parameters on Balance.

scholarly journals Discriminant Validity of the Stroke Impact Scale

Stroke ◽  
2001 ◽  
Vol 32 (suppl_1) ◽  
pp. 361-361
Author(s):  
Sue-Min Lai Dr ◽  
Stephanie Studenski Dr ◽  
Pamela W Duncan Dr ◽  
Subashan Perera Dr
Keyword(s):  
Quality Of Life ◽  
Discriminant Validity ◽  
Community Dwelling ◽  
Elderly Subjects ◽  
Stroke Patients ◽  
P Values ◽  
Post Stroke ◽  
Stroke Impact Scale ◽  
Impact Scale

P123 Purpose: The purpose of this study was to determine the discriminant validity of the Stroke Impact Scale (SIS) by comparing function and quality of life in stroke patients to assessments from stroke-free community dwelling elderly. Methods: The SIS was administered at 90 to 120 days post-stroke to subjects who participated in the Kansas City Stroke Registry (KCSR). The same impact scale was also administered cross-sectionally to community dwelling elderly who were recruited from primary care clinics for participation in an ongoing prospective study of health and function (Merck). All subjects were queried for responses to 64 items of the SIS including eight domains: strength, memory and thinking, emotion, communication, ADL/IADL, mobility, upper extremity, and social participation. Regression analyses were used to examine differences between stroke patients and stroke-free elderly in each of the eight SIS domains while controlling for demographics and comorbidities. Results: One hundred and sixty KCSR subjects and two hundred and forty-three subjects from the Merck study were included in the present analysis. The mean ages were 73±10.1 and 74±5.1, respectively. Gender and race were similar in both groups. The 90-days post-stroke mean Barthel ADL was 80±23 in the stroke patients. Mean scores of all 8 SIS domains were significantly lower in stroke patients than those in the stroke-free community dwelling elderly even after controlling for differences in age and comorbidities (all p values < 0.0001). Mean scores of the 7 SIS domains (except strength), even in stroke patients who had Barthel ADL > 90 at 90-days post-stroke, remained lower than those in the stroke-free community dwelling elderly (p values < 0.01). Conclusion: The SIS was able to discriminate well between stroke patients with disability and stroke-free elderly subjects. Patients who had recovered basic ADLs continued to have residual disability and impaired quality of life when compared to non-stroke patients.

Diabetes Quality of Life Measure--Impact Scale; Chinese Version

2014 ◽  
Author(s):  
Catherine A. Chesla ◽  
Christine M. L. Kwan ◽  
Kevin M. Chun ◽  
Lisa Stryker
Keyword(s):  
Quality Of Life ◽  
Chinese Version ◽  
Life Measure ◽  
Impact Scale

Developing a Health-Related Quality-of-Life Measure for People With Intellectual Disability

2017 ◽  
Vol 55 (3) ◽  
pp. 140-153
Author(s):  
Lauren Clark ◽  
Marjorie A. Pett ◽  
Elizabeth M. Cardell ◽  
Jia-Wen Guo ◽  
Erin Johnson
Keyword(s):  
Quality Of Life ◽  
Intellectual Disability ◽  
Community Based Participatory Research ◽  
Health Related Quality ◽  
Point Scale ◽  
Community Based ◽  
Life Measure ◽  
Related Quality ◽  
Health Related

Abstract Using principles of community-based participatory research we developed a new theory-based measure of health-related quality of life (HRQOL) for individuals with intellectual disability (ID). We recruited adults with ID (n = 129) to take part in interviews and review successive versions of HRQOL items. Critical input about content and understandability shaped the items, as did input from four focus groups of parents/caregivers (n = 16) and representative stakeholders from community-based agencies (n = 7). The resulting HRQOL measure, called the HRQOL-IDD, contains 42 items. The response format depicts a gradient of fluid-filled cups (“none” to “full”) to represent frequency of experience of each item on a 5-point scale.

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