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Comparison between different instruments for measuring health-related quality of life in a population sample, the WHO MONICA Project, Gothenburg, Sweden: an observational, cross-sectional study
OBJECTIVE: The general aim was to meet the need for empirical comparative studies of health-related quality of life (HRQoL) assessment instruments, by evaluating and comparing the psychometric properties and results of three different, widely used, generic HRQoL instruments in a population sample. T...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500231/ https://www.ncbi.nlm.nih.gov/pubmed/31005911 http://dx.doi.org/10.1136/bmjopen-2018-024454 |
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author | Krantz, Emily Wide, Ulla Trimpou, Penelope Bryman, Inger Landin-Wilhelmsen, Kerstin |
author_facet | Krantz, Emily Wide, Ulla Trimpou, Penelope Bryman, Inger Landin-Wilhelmsen, Kerstin |
author_sort | Krantz, Emily |
collection | PubMed |
description | OBJECTIVE: The general aim was to meet the need for empirical comparative studies of health-related quality of life (HRQoL) assessment instruments, by evaluating and comparing the psychometric properties and results of three different, widely used, generic HRQoL instruments in a population sample. The specific aims were to evaluate the subscales of the different instruments that measure the same domain and to assess the association between the HRQoL measures and a single-item self-rated health scale. DESIGN: An observational cross-sectional study. SETTING: A population-based sample from Gothenburg, Sweden, was studied in 2008 in the WHO MONItoring of trends and determinants for CArdiovascular disease. PARTICIPANTS: A total of 414 subjects were included, 77% women, age range 39–78 years. INTERVENTIONS: The Nottingham Health Profile (NHP), the Short Form-36 questionnaire (SF-36), the Psychological General Well-Being Index (PGWB) and a self-rated health scale were used. OUTCOME MEASURES: Scores were analysed for their psychometric properties, internal consistency (Cronbach’s α), construct validity (Spearman’s rank correlations and R(2) coefficients) and discriminative ability for the presence of self-rated ill-health. RESULTS: PGWB and SF-36 had higher Cronbach’s α scores than NHP. All correlations calculated between the subscales that were conceptually similar were significant (p<0.01). All subscales could differentiate the presence of self-rated ill-health according to the self-rated health scale (p<0.001). The self-rated health scale correlated strongly with all of the three HRQoL instruments used. CONCLUSIONS: There was a high concordance between the instruments within each domain that was conceptually similar. All three HRQoL instruments (PGWB, SF-36 and NHP) could discriminate the presence of self-rated ill-health. The simple and quick self-rated health scale correlated strongly with the more time-consuming PGWB, SF-36 and NHP. The result supports the existence of a strong association between the self-rated health scale and HRQoL in the general population. |
format | Online Article Text |
id | pubmed-6500231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-65002312019-05-21 Comparison between different instruments for measuring health-related quality of life in a population sample, the WHO MONICA Project, Gothenburg, Sweden: an observational, cross-sectional study Krantz, Emily Wide, Ulla Trimpou, Penelope Bryman, Inger Landin-Wilhelmsen, Kerstin BMJ Open Epidemiology OBJECTIVE: The general aim was to meet the need for empirical comparative studies of health-related quality of life (HRQoL) assessment instruments, by evaluating and comparing the psychometric properties and results of three different, widely used, generic HRQoL instruments in a population sample. The specific aims were to evaluate the subscales of the different instruments that measure the same domain and to assess the association between the HRQoL measures and a single-item self-rated health scale. DESIGN: An observational cross-sectional study. SETTING: A population-based sample from Gothenburg, Sweden, was studied in 2008 in the WHO MONItoring of trends and determinants for CArdiovascular disease. PARTICIPANTS: A total of 414 subjects were included, 77% women, age range 39–78 years. INTERVENTIONS: The Nottingham Health Profile (NHP), the Short Form-36 questionnaire (SF-36), the Psychological General Well-Being Index (PGWB) and a self-rated health scale were used. OUTCOME MEASURES: Scores were analysed for their psychometric properties, internal consistency (Cronbach’s α), construct validity (Spearman’s rank correlations and R(2) coefficients) and discriminative ability for the presence of self-rated ill-health. RESULTS: PGWB and SF-36 had higher Cronbach’s α scores than NHP. All correlations calculated between the subscales that were conceptually similar were significant (p<0.01). All subscales could differentiate the presence of self-rated ill-health according to the self-rated health scale (p<0.001). The self-rated health scale correlated strongly with all of the three HRQoL instruments used. CONCLUSIONS: There was a high concordance between the instruments within each domain that was conceptually similar. All three HRQoL instruments (PGWB, SF-36 and NHP) could discriminate the presence of self-rated ill-health. The simple and quick self-rated health scale correlated strongly with the more time-consuming PGWB, SF-36 and NHP. The result supports the existence of a strong association between the self-rated health scale and HRQoL in the general population. BMJ Publishing Group 2019-04-20 /pmc/articles/PMC6500231/ /pubmed/31005911 http://dx.doi.org/10.1136/bmjopen-2018-024454 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Epidemiology Krantz, Emily Wide, Ulla Trimpou, Penelope Bryman, Inger Landin-Wilhelmsen, Kerstin Comparison between different instruments for measuring health-related quality of life in a population sample, the WHO MONICA Project, Gothenburg, Sweden: an observational, cross-sectional study |
title | Comparison between different instruments for measuring health-related quality of life in a population sample, the WHO MONICA Project, Gothenburg, Sweden: an observational, cross-sectional study |
title_full | Comparison between different instruments for measuring health-related quality of life in a population sample, the WHO MONICA Project, Gothenburg, Sweden: an observational, cross-sectional study |
title_fullStr | Comparison between different instruments for measuring health-related quality of life in a population sample, the WHO MONICA Project, Gothenburg, Sweden: an observational, cross-sectional study |
title_full_unstemmed | Comparison between different instruments for measuring health-related quality of life in a population sample, the WHO MONICA Project, Gothenburg, Sweden: an observational, cross-sectional study |
title_short | Comparison between different instruments for measuring health-related quality of life in a population sample, the WHO MONICA Project, Gothenburg, Sweden: an observational, cross-sectional study |
title_sort | comparison between different instruments for measuring health-related quality of life in a population sample, the who monica project, gothenburg, sweden: an observational, cross-sectional study |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500231/ https://www.ncbi.nlm.nih.gov/pubmed/31005911 http://dx.doi.org/10.1136/bmjopen-2018-024454 |
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