BACKGROUND AND AIMS: Two widely used evaluation tools for the quality of life are the 36-item Short-Form Health Survey (SF-36) and World Health Organization Quality of Life Assessment (100-item version) (WHOQOL-100), however, these tools have not been compared for patients with stroke to date. The specific objectives of this study were: 1) to study the effect of stroke on quality of life (QOL) as measured by the SF-36 and by the WHOQOL-100, and 2) to compare these two instruments. SETTINGS AND DESIGN: Seventy patients who were admitted to the neurology clinic six months after stroke were included in this study. PATIENTS AND METHODS: As a data-collecting device, the SF-36 and WHOQOL-100 scales were used. An additional questionnaire was administered to obtain demographic data. STATISTICAL ANALYSIS: Pearson correlation analysis was performed and Blant-Altman Plots were used. Psychometric analysis was performed. RESULTS: In stroke, the most flustered domains of quality of life were vitality and general health perception fields in the SF-36 and in the WHOQL-100, independence level field, overall QOL and general health perceptions. While there was a fair degree of relationship (r= 0.25-0.50) between general health perceptions, physical, social and mental fields that were similar fields of scales, a fair and moderate to good relationship was found between different fields. Limits of agreement in similar domains of the two instruments were very large. In all four demonstrated Bland-Altman plots, there was agreement of the scales in the measurements of similar fields of quality of life. CONCLUSION: This study demonstrated that both the SF-36 and WHOQOL-100 quality of life scales are useful in the practical evaluation of patients with stroke.
BACKGROUND AND AIMS: Two widely used evaluation tools for the quality of life are the 36-item Short-Form Health Survey (SF-36) and World Health Organization Quality of Life Assessment (100-item version) (WHOQOL-100), however, these tools have not been compared for patients with stroke to date. The specific objectives of this study were: 1) to study the effect of stroke on quality of life (QOL) as measured by the SF-36 and by the WHOQOL-100, and 2) to compare these two instruments. SETTINGS AND DESIGN: Seventy patients who were admitted to the neurology clinic six months after stroke were included in this study. PATIENTS AND METHODS: As a data-collecting device, the SF-36 and WHOQOL-100 scales were used. An additional questionnaire was administered to obtain demographic data. STATISTICAL ANALYSIS: Pearson correlation analysis was performed and Blant-Altman Plots were used. Psychometric analysis was performed. RESULTS: In stroke, the most flustered domains of quality of life were vitality and general health perception fields in the SF-36 and in the WHOQL-100, independence level field, overall QOL and general health perceptions. While there was a fair degree of relationship (r= 0.25-0.50) between general health perceptions, physical, social and mental fields that were similar fields of scales, a fair and moderate to good relationship was found between different fields. Limits of agreement in similar domains of the two instruments were very large. In all four demonstrated Bland-Altman plots, there was agreement of the scales in the measurements of similar fields of quality of life. CONCLUSION: This study demonstrated that both the SF-36 and WHOQOL-100 quality of life scales are useful in the practical evaluation of patients with stroke.
Authors: Abbas Abbasi-Ghahramanloo; Mojtaba Soltani-Kermanshahi; Kamyar Mansori; Maryam Khazaei-Pool; Masoudreza Sohrabi; Hamid Reza Baradaran; Zahra Talebloo; Ali Gholami Journal: Int J Gen Med Date: 2020-08-11
Authors: Felipe J Aidar; Ricardo J de Oliveira; António J Silva; Dihogo G de Matos; André L Carneiro; Nuno Garrido; Robert C Hickner; Victor M Reis Journal: Health Qual Life Outcomes Date: 2011-10-13 Impact factor: 3.186
Authors: Gajendra Kumar Medhi; Jogesh Sarma; Himashree Bhattacharyya; Star Pala; Vizovonuo Visi; Parash Jyoti Bora Journal: J Family Med Prim Care Date: 2019-07
Authors: Katie I Gallacher; Terry Quinn; Lisa Kidd; David Eton; Megan Dillon; Jennifer Elliot; Natalie Johnston; Patricia J Erwin; Frances Mair Journal: BMJ Open Date: 2019-09-18 Impact factor: 2.692