期刊论文详细信息
BMC Research Notes
Development, reliability and validity of the Chichewa WHOQOL-BREF in adults in lilongwe, Malawi
Jolene Skordis-Worrall1  Gibson Masache2  Tim Colbourn1 
[1] UCL Centre for International Health and Development, 30 Guilford Street, London, WC1N 1EH, UK;Parent and Child Health Initiative (PACHI), Amina House (top floor, Entrance 3), Paul Kagame Road roundabout, P.O. Box 31686, Lilongwe 3, Malawi
关键词: WHOQOL-BREF;    Validation studies;    Translations;    Malawi;    Quality of life;   
Others  :  1166166
DOI  :  10.1186/1756-0500-5-346
 received in 2011-11-24, accepted in 2012-05-08,  发布年份 2012
PDF
【 摘 要 】

Background

Quality of life measurement is a useful addition to measurement of health outcomes in evaluation of the benefits of many health and welfare interventions. The WHOQOL-BREF measures quality of life from a broad multi-dimensional perspective but was not used in Malawi. The objective of this study was to translate the WHOQOL-BREF questionnaire into the main local language of Malawi: Chichewa; and to validate it quantitatively with respect to internal consistency, domain structure, and discriminant validity for this context.

Methods

WHO-mandated guidelines were followed for translation, adaptation, pre-testing (focus groups), piloting (patient interviews) and data coding. Analyses using descriptive statistics, correlation and regression were undertaken to investigate the validity of the WHOQOL-BREF in the ways described above. Additional regression analyses examined the impact of socio-demographic variables on the domain scores.

Results

309 respondents completed the questionnaire (with >98% response rates for all questions except Q21 (sex life)). 259 were sick with a variety of health problems, and 50 were considered healthy. All domains showed adequate internal consistency (Cronbach’s alpha > =0.7) with all item scores also most highly correlated with the scores of their assigned domain. All domain scores varied by health problem, and more depressed respondents had significantly lower scores in all domains than those less depressed. Domain scores and their associations with socio-demographic variables are presented and discussed.

Conclusion

This study demonstrates that the new Chichewa WHOQOL-BREF questionnaire is acceptable and comprehensible to respondents in Malawi. The questionnaire also passed a number of tests of the validity of its psychometric properties. In the pilot population we found that older age was associated with lower Physical domain scores. Conversely, higher levels of educational attainment were found to be associated with higher quality of life in all domains except for Social Relationships. Respondents living as married or single were found to have higher quality of life in the Physical, Psychological and Social domains, and those who were widowed lower Physical quality of life.

【 授权许可】

   
2012 Colbourn et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150416041538479.pdf 264KB PDF download
【 参考文献 】
  • [1]Drummond M, Weatherly H, Claxton K, Cookson R, Ferguson B, Godfrey C, Rice N, Sculpher M, Sowden A: Assessing the Challenges of Applying Standard Methods of Economic Evaluation to Public Health Interventions. Public Health Research Consortium; Final Report 2008 2012, 1-226. last accessed 28/05/2012
  • [2]The-WHOQoL-Group: The WHO Quality of Life Assessment (WHOQOL): development and general psychometric properties. Soc Sci Med 1998, 46:1569-1585.
  • [3]Skevington SM, Lofty M, O’Connell KA, WHOQOL G: The World Health Organization’s WHOQOL-Bref quality of life assessment: psychometric properties and results of the international field trial. A report from the WHOQOL group. Qual Life Res 2004, 13:299-310.
  • [4]Tsutsumi A, Izutsu T, Kato S, Islam MDA, Yamada H, Kato H, Wakai S: Reliability and validity of the Bangla version of WHOQOL-BREF in an adult population in Dhaka, Bangladesh. Psychiatry Clin Neurosci 2006, 60:493-498.
  • [5]Nedjat S, Montazeri A, Holakouie K, Mohammad K, Majdzadeh R: Psychometric properties of the Iranian interview-administered version of the World Health Organization’s Quality of Life Questionnaire (WHOQOL-BREF): A population-based study. BMC Heal Serv Res 2008, 8(6):1.
  • [6]Jaracz K, Kalfoss M, Gorna K, Baczyk G: Quality of life in Polish respondents: psychometric properties of the Polish WHOQOL—Bref. Scand J Caring Sci 2006, 20:251-260.
  • [7]Eser E, Findaner H, Eser SY, Elibi H, Goker E: Psychometric properties of the WHOQOL-100 and WHOQOL-BREF. J Psychiatry Psychol Psychopharmacol 1999, 7:23-40. In Turkish
  • [8]Kayambazinthu E: The Language Planning Situation in Malawi. J Multiling Multicult Dev 1998, 19(5):369-439.
  • [9]WHO: WHOQoL User Manual: WHO/MNH/MHP/98.4.Rev.1 WHO Programme on Mental Health. Geneva; 1998:1-106. http://www.who.int/mental_health/evidence/who_qol_user_manual_98.pdf webcite
  • [10]WHO: WHOQoL Translation Methodology: World Health Organisation. Geneva: World Health Organisation Press, Department of Knowledge Management and Sharing, Information, Evidence and Research Cluster; 2009. following granting of permission to undertake the WHOQoL-BREF translation on 06/02/2009
  • [11]Webster J, Nicholas C, Velacott C, Cridland N, Fawcett L: Validation of the WHOQOL-BREF among women following childbirth. Aust N Z J Obstet Gynaecol 2010, 50:132-137.
  • [12]WHO: Global Burden of Disease 2004 update: disability weights for diseases and conditions. Geneva: World Health Organisation; 2004. last accessed 28/05/2012
  • [13]National Statistics Office (NSO) [Malawi], ORC Macro [USA]: Malawi Demographic and Health Survey 2004. Calverton, Maryland: NSO and ORC Macro; 2005:578.
  • [14]Baumann C, Erpelding ML, Régat S, Collin JF, Briançon S: The WHOQoL-BREF questionnaire: French adult population norms for the physical health, psychological health and social relationships dimensions. Rev Epidemiol Sante Publique 2010, 58(1):33-39.
  • [15]Hanestad BR, Rustøen T, Knudsen OJ, Lerdal A, Wahl AK: Psychometric properties of the WHOQOL-BREF questionnaire for the Norwegian general population. J Nurs Meas 2004, 12(2):147-159.
  • [16]Noerholm V, Groenvold M, Watt T, Bjorner JB, Rasmussen N-A, Bech P: Quality of life in the Danish general population—normative data and validity of WHOQoL-BREF using Rasch and item response theory models. Qual Life Res 2004, 13:531-540.
  • [17]Saxena S, Carlson D, Billington R, Orley J, Group W: The WHO quality of life assessment instrument (WHOQOL-Bref): The importance of its items in cross-cultural research. Qual Life Res 2001, 10:711-721.
  • [18]Pinquart M, Sorensen S: Differences Between Caregivers and Noncaregivers in Psychological Health and Physical Health: A Meta-Analysis. Psychol Aging 2003, 18(2):250-267.
  • [19]Murray CJ, Lopez AD: The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020. Cambridge: Harvard School of Public Health on behalf of the World Health Organisation and the World Bank; 1996.
  • [20]Bonomi AE, Patrick DL, Bushnell DM, Martin M: Validation of the United States’ version of the World Health Organization Quality of Life (WHOQOL) instrument. J Clin Epidemiol 2000, 53(1):1-12.
  • [21]Ng N, Hakimi M, Byass P, Wilopo S, Wall S: Health and quality of life among older rural people in Purworejo District, Indonesia. Glob Health Action 2010 2010., 3(Supplement 2)
  • [22]Gomez-Olive FX, Thorogood M, Clark BD, Kahn K, Tollman S: Assessing health and well-being among older people in rural South Africa. Glob Health Action 2010., 3(Supplement 2)
  • [23]Van Minh H, Byass P, Chuc NTK, Wall S: Patterns of health status and quality of life among older people in rural Viet Nam. Glob Health Action 2010 2010., 3(Supplement 2)
  • [24]Razzaque A, Nahar L, Khanam AM, Streatfield K: Socio-demographic differentials of adult health indicators in Matlab, Bangladesh: self-rated health, health state, quality of life and disability level. Glob Health Action 2010 2010., 3(Supplement 2)
  • [25]Ng N, Kowal P, Kahn K, Naidoo N, Abdullah S, Bawah A, Binka F, Chuc NTK, Debpuur C, Egondi T, et al.: Health inequalities among older men and women in Africa and Asia: evidence from eight Health and Demographic Surveillance System sites in the INDEPTH WHO-SAGE Study. Glob Health Action 2010 2010., 3(Supplement 2)
  文献评价指标  
  下载次数:6次 浏览次数:4次