1
|
Hassanzadeh M, Banitaba SM, Azizi S. Validation of Persian Multiple Sclerosis quality of life-29 (P-MSQOL-29) questionnaire. Acta Neurol Belg 2023; 123:2201-2211. [PMID: 36933177 PMCID: PMC10024294 DOI: 10.1007/s13760-023-02222-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 02/21/2023] [Indexed: 03/19/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) is the most prevalent neurological disease among young adults. Because of the chronic nature of this disease, it is important to assess quality of life in these patients. The Multiple Sclerosis Quality of Life -29 (MSQOL-29) questionnaire which contains two main scales, Physical Health Composite (PHC) and Mental Health Composite (MHC), has been designed for this goal. The purpose of the present study is to translate and validate a Persian version of MSQOL-29 (P-MSQOL-29). METHODS Using the forward-backward translation method, a panel of experts established the content validity of P-MSQOL-29. It was then administered to 100 patients with MS who also completed the Short Form-12 (SF-12) questionnaire. Cronbach's alpha was used to assess the internal consistency of P-MSQOL-29. Spearman's correlation coefficient was used to analyze the concurrent validity when correlating the items of P-MSQOL-29 to SF-12. RESULTS Mean (Standard Deviation) of PHC and MHC for all patients was 51 (16.4), and 58 (23), respectively. Cronbach's alpha was 0.7 for PHC and 0.9 for MHC. Thirty patients completed the questionnaire again after 3-4 weeks, Intraclass Correlation Coeffiecient (ICC) was 0.80 for PHCs and 0.85 for MHCs (both P values < 0.01). A moderate to high correlation was detected between MHC/PHC and the corresponding scales of SF-12 (MHC with Mental Component Score: ρ = 0.55; PHC with Physical Component Score: ρ = 0.77; both P values < 0.01). CONCLUSION P-MSQOL-29 is a valid and reliable questionnaire and can be used for assessing quality of life in patients with MS.
Collapse
Affiliation(s)
- Morteza Hassanzadeh
- Department of Internal Medicine, School of Medicine, Colorectal Research Center, Rasoul-E-Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
| | - Seyed Mohsen Banitaba
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Shadi Azizi
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
2
|
Sellitto G, Morelli A, Bassano S, Conte A, Baione V, Galeoto G, Berardi A. Outcome measures for physical fatigue in individuals with multiple sclerosis: a systematic review. Expert Rev Pharmacoecon Outcomes Res 2021; 21:625-646. [PMID: 33504225 DOI: 10.1080/14737167.2021.1883430] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Physical fatigue can be a common reason for early retirement or sick leave since it appears in the earliest stages of multiple sclerosis (MS). Therefore, a prompt and accurate diagnosis is essential. This systematic review aims to identify and describe the instruments used to assess physical fatigue in MS patients with consideration for the languages used to validate the instruments and their methodological qualities. AREA COVERED This study has been carried out through 'Medline,' 'Scopus,' 'Cinhal,' and 'Web of Science' databases for all the papers published before 24 January 2020. Three independent authors have chosen the eligible studies based upon pre-set criteria of inclusion. Data collection, data items, and assessment of the risk of bias: the data extraction approach was chosen based on the Cochrane Methods. For data collection, the authors followed the recommendations from the COSMIN initiative. Study quality and risk of bias were assessed using the COSMIN Check List. EXPERT OPINION 119 publications have been reviewed. The 45 assessment scales can be divided into specific scales for physical fatigue and specific scales for MS. The most popular tools are the Fatigue Severity Scale and the Modified Fatigue Impact Scale.
Collapse
Affiliation(s)
| | | | | | - Antonella Conte
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.,IRCCS Neuromed Pozzili, Italy
| | - Viola Baione
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Giovanni Galeoto
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Anna Berardi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| |
Collapse
|
3
|
Estiasari R, Melani S, Kusumawardhani AAAA, Pangeran D, Fajrina Y, Maharani K, Imran D. Validation of the Indonesian version of multiple sclerosis quality of life-54 (MSQOL-54 INA) questionnaire. Health Qual Life Outcomes 2019; 17:120. [PMID: 31299971 PMCID: PMC6626390 DOI: 10.1186/s12955-019-1190-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 07/03/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Quality of life assessment of patients with multiple sclerosis (MS) is not routinely performed in Indonesia due to the unavailability of the validated Indonesian version of a specific instrument. The objective of this study was to transculturally adapt and validate the Indonesian version of the MSQOL-54 (MSQOL-54 INA) questionnaire. METHODS The transcultural adaptation was conducted by performing a standardized forward-backward method. Psychometric analysis was performed by assessing the reliability (Cronbach α), internal validation (item internal consistency and item discriminant validity), and external validation by measuring the correlation with a clinical factor such as EDSS and other demographic factors. RESULTS Reliability test with Cronbach α showed good internal consistency (> 0.7) at each component, except for health perception (0.665) and social function (0.433). Construct validity using computation of correlation coefficient showed internal consistency in accordance with the original MSQOL-54 standard dimension, except for energy and role limitation due to emotional problems components. External validation with EDSS showed negative correlation on almost all components, except for sexual function, but both composite scores were statistically significant. CONCLUSION MSQOL-54 INA questionnaire has good internal reliability and is proven to be valid and well-accepted by Indonesian MS patients. Therefore, it can be used by Indonesian clinicians for more comprehensive MS management.
Collapse
Affiliation(s)
- Riwanti Estiasari
- Department of Neurology, Faculty of Medicine Universitas Indonesia, Jl. Salemba Raya no. 6, Jakarta, 10430 Indonesia
- Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| | - Syarly Melani
- Department of Neurology, Faculty of Medicine Universitas Indonesia, Jl. Salemba Raya no. 6, Jakarta, 10430 Indonesia
- Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| | - A. A. A. Agung Kusumawardhani
- Department of Neurology, Faculty of Medicine Universitas Indonesia, Jl. Salemba Raya no. 6, Jakarta, 10430 Indonesia
- Department of Psychiatry, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - David Pangeran
- Department of Neurology, Faculty of Medicine Universitas Indonesia, Jl. Salemba Raya no. 6, Jakarta, 10430 Indonesia
| | - Yuhyi Fajrina
- Department of Neurology, Faculty of Medicine Universitas Indonesia, Jl. Salemba Raya no. 6, Jakarta, 10430 Indonesia
- Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| | - Kartika Maharani
- Department of Neurology, Faculty of Medicine Universitas Indonesia, Jl. Salemba Raya no. 6, Jakarta, 10430 Indonesia
- Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| | - Darma Imran
- Department of Neurology, Faculty of Medicine Universitas Indonesia, Jl. Salemba Raya no. 6, Jakarta, 10430 Indonesia
- Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| |
Collapse
|
4
|
Leong TI, Weiland TJ, Jelinek GA, Simpson S, Brown CR, Neate SL, Taylor KL, O'Kearney E, Milanzi E, De Livera AM. Longitudinal Associations of the Healthy Lifestyle Index Score With Quality of Life in People With Multiple Sclerosis: A Prospective Cohort Study. Front Neurol 2018; 9:874. [PMID: 30450074 PMCID: PMC6225868 DOI: 10.3389/fneur.2018.00874] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 09/27/2018] [Indexed: 01/18/2023] Open
Abstract
Objective: To explore the association between combined lifestyle risk factors with quality of life in people with multiple sclerosis (MS) over 2.5 years. Methods: People with MS were recruited to participate in a comprehensive online survey regarding their demographic and clinical characteristics, health-related quality of life (HRQOL), and lifestyle behaviors including physical activity, alcohol consumption, cigarette smoking, body mass index, and dietary habits measured at baseline and 2.5-year follow-up. A combined healthy lifestyle index score (HLIS) was constructed by assigning scores of 0-4 to each of the lifestyle risk factors, for which higher values indicate healthier lifestyle behavior. Multivariable linear regression modeling was used to assess whether the HLIS at baseline was associated with the physical and mental HRQOL over the study period in this sample of people with MS. Results: Of 2,466 participants with confirmed MS, 1,401 (57%) completed the follow-up. Multivariable linear regression analyses demonstrated that every 5-point increase (of a possible total of 20) in the baseline HLIS was associated with 1.7 (95% CI: 0.2-3.2) and 2.5 (95% CI: 1.0-4.0) higher scores in the change in physical and mental HRQOL components from baseline to follow-up respectively. Conclusion: Findings suggest the importance of healthy lifestyle behavior in quality of life in MS. A healthy lifestyle program focusing on these behaviors has the potential to positively influence health-related quality of life for people with MS.
Collapse
Affiliation(s)
- Teng I Leong
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Tracey J Weiland
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - George A Jelinek
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Steve Simpson
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Chelsea R Brown
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Sandra L Neate
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Keryn L Taylor
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Emily O'Kearney
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Elasma Milanzi
- Biostatistics Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Alysha M De Livera
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Biostatistics Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| |
Collapse
|