Skip to main content
Log in

Evidence on the global measurement model of the Minnesota Living with Heart Failure Questionnaire

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Purpose

The Minnesota Living with Heart Failure Questionnaire (MLHFQ) is the most widely used health-related quality of life measure in both clinical and research settings. Nevertheless, its measurement model has never been confirmed. This study aims to fill that gap with a large international sample.

Methods

Data from eight studies (3,847 patients with heart failure) from 21 countries were merged and analysed. Common variables included MLHFQ scores, functional capacity, cardiovascular risk factors and the socio-demographic characteristics of the patient. The measurement model of the MLHFQ was assessed by means of exploratory and confirmatory factor analyses (EFA-CFA). The reliability of MLHFQ scores was evaluated using Cronbach’s alpha coefficient and the MLHFQ’s ability to differentiate among known groups was assessed through severity levels.

Results

Findings from the EFA and CFA suggest that the MLHFQ total and domain-specific scores fall within a bifactor model. The physical and emotional scores were supported within the sample, as was the original total score. Furthermore, a third factor was revealed regarding social environment. The reliability coefficient reached 0.9 for almost all physical and total scores. All the MLHFQ mean scores showed the ability to differentiate among functional capacity groups, with most of the effect size coefficients reaching 0.8.

Conclusions

Beyond the suitable degree of reliability and validity displayed by the MLHFQ scores in the different country-specific versions, our results confirmed for the first time the unidimensionality of the most commonly used score in HF patients: the total MLHFQ score. Moreover, the social environment domain identified in this study can now be considered when assessing these patients’ HRQL, especially as a relevant outcome with regard to disease management.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Jaarsma, T., & Lesman-Leegte, I. (2010). The value of the quality of life. European Journal of Heart Failure, 12, 901–902.

    Article  PubMed  Google Scholar 

  2. Konstam, M. A. (2004). Heart failure training: a call for an integrative, patient-focused approach to an emerging cardiology subspecialty. Journal of the American College of Cardiology, 44, 1361–1362.

    PubMed  Google Scholar 

  3. Dickstein, K., Cohen-Solal, A., Filippatos, G., McMurray, J. J., Ponikowski, P., Poole-Wilson, P. A., et al. (2008). ESC Committee for Practice Guidelines (CPG). European Journal of Heart Failure, 10, 933–989.

    Article  PubMed  Google Scholar 

  4. Adamson, P. B., Abraham, W. T., Love, C., & Reynolds, D. (2004). The evolving challenge of chronic heart failure management: a call for a new curriculum for training heart failure specialists. Journal of the American College of Cardiology, 44, 1354–1357.

    PubMed  Google Scholar 

  5. Alonso, J., Ferrer, M., Gandek, B., Ware, J. E, Jr, Aaronson, N. K., Mosconi, P., et al. (2004). IQOLA Project Group. Health-related quality of life associated with chronic conditions in eight countries. Results from the International Quality of Life Assessment (IQOLA) project. Quality of Life Research, 13, 283–298.

    Article  PubMed  Google Scholar 

  6. Zuluaga, M. C., Guallar-Castillón, P., López-García, E., Banegas, J. R., Conde-Herrera, M., Olcoz-Chiva, M., et al. (2010). Generic and disease-specific quality of life as a predictor of long-term mortality in heart failure. European Journal of Heart Failure, 12, 1372–1378.

    Article  PubMed  Google Scholar 

  7. Heidenreich, P. A., Spertus, J. A., Jones, P. G., Weintraub, W. S., Rumsfeld, J. S., Rathore, S. S., et al. (2006). Cardiovascular Outcomes Research Consortium Health status identifies heart failure outpatients at risk for hospitalization or death. Journal of the American College of Cardiology, 47, 752–756.

    Article  PubMed  Google Scholar 

  8. Rodríguez-Artalejo, F., Guallar-Castillón, P., Pascual, C. R., Otero, C. M., Montes, A. O., García, A. N., et al. (2005). Health-related quality of life as a predictor of hospital readmission and death among patients with heart failure. Archives of Internal Medicine, 165, 1274–1279.

    Article  PubMed  Google Scholar 

  9. Garin, O., Ferrer, M., Pont, A., Rué, M., Kotzeva, A., Wiklund, I., et al. (2008). Disease-specific health-related quality of life questionnaires for heart failure: a systematic review with meta-analyses. Quality of Life Research, 18, 71–85.

    Article  PubMed  Google Scholar 

  10. Rector TS, Kubo SH, Cohn JN. (1987) Patients’ self-assessment of their congestive heart failure. Part 2: content, reliability and validity of a new measure, The Minnesota Living with Heart Failure Questionnaire. Heart Failure, 198-209.

  11. Guyatt, G. H., Nogradi, S., Halcrow, S., Singer, J., Sullivan, M. J., & Fallen, E. L. (1989). Development and testing of a new measure of health status for clinical trials in heart failure. Journal of General Internal Medicine, 4, 101–107.

    Article  PubMed  CAS  Google Scholar 

  12. Wiklund, I., Lindvall, K., Swedberg, K., & Zupkis, R. V. (1987). Self-assessment of quality of life in severe heart failure. An instrument for clinical use. Scandinavian Journal of Psychology, 28, 220–225.

    Article  PubMed  CAS  Google Scholar 

  13. Green, C. P., Porter, C. B., Bresnahan, D. R., & Spertus, J. A. (2000). Development and evaluation of the Kansas City Cardiomyopathy Questionnaire: a new health status measure for heart failure. Journal of the American College of Cardiology, 35, 1245–1255.

    Article  PubMed  CAS  Google Scholar 

  14. O’Leary, C. J., & Jones, P. W. (2000). The left ventricular dysfunction questionnaire (LVD-36): reliability, validity, and responsiveness. Heart, 83, 634–640.

    Article  PubMed  Google Scholar 

  15. http://www.proqolid.org/. Accessed 3 August 2012.

  16. Rector, T. S., Carson, P. E., Anand, I. S., McMurray, J. J., Zile, M. R., McKelvie, R. S., et al. (2012). Massie BM; I-PRESERVE Trial Investigators. Assessment of long-term effects of irbesartan on heart failure with preserved ejection fraction as measured by the minnesota living with heart failure questionnaire in the irbesartan in heart failure with preserved systolic function (I-PRESERVE) trial. Circulation Heart failure, 5(2), 217–225.

    Article  PubMed  CAS  Google Scholar 

  17. Heo, S., Moser, D. K., Riegel, B., Hall, L. A., & Christman, N. (2005). Testing the psychometric properties of the Minnesota Living with Heart Failure questionnaire. Nursing Research, 54, 265–272.

    Article  PubMed  Google Scholar 

  18. Cruz, F. D., Issa, V. S., Ayub-Ferreira, S. M., Chizzola, P. R., Souza, G. E., Moreira, L. F., et al. (2010). Effect of a sequential education and monitoring programme on quality-of-life components in heart failure. European Journal of Heart Failure, 12, 1009–1015.

    Article  PubMed  Google Scholar 

  19. Franzen, K., Blomqvist, K., & Saveman, B. I. (2006). Impact of chronic heart failure on elderly persons’ daily life: a validation study. European journal of cardiovascular nursing, 5, 137–145.

    Article  PubMed  Google Scholar 

  20. Middel, B., Bouma, J., de Jongste, M., van Sonderen, E., Niemeijer, M. G., Crijns, H., et al. (2001). Psychometric properties of the Minnesota Living with Heart Failure Questionnaire (MLHF-Q). Clinical Rehabilitation, 15, 489–500.

    Article  PubMed  CAS  Google Scholar 

  21. Pietri G, van Ganse E, Ferrer M, Garin O, Wiklund I, Rector T. (2004) Minnesota Living with Heart Failure Questionnaire. User Manual. European Commission Report. Copyright© MAPI Research Institute.

  22. Mouly M, Lobo-Luppi L for the IQOD Group. (2002) International Health-related Quality of Life Outcomes Database (IQOD) Programme. Phase I–Progress report. Cross-cultural reference values for PRO: WHQ achieved, PGWBI and MLHF in progress. Quality of Life Newsletter, 29.

  23. Rossi, G. (1967). Nomenclature and diagnostic criteria in cardiology set by the New York Heart Association. Considerations on the 6th edition. Cuore e circolazione, 51, 287–293.

    PubMed  CAS  Google Scholar 

  24. Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9, 466–491.

    Article  PubMed  Google Scholar 

  25. Muthen BO. (1998-2004). Mplus Technical Appendices. Los Angeles,CA: Muthén and Muthén.

  26. Scientific advisory committee of the medical outcomes trust. (2002). Assessing health status and quality-of-life instruments: attributes and review criteria. Quality of Life Research, 11, 193–205.

    Article  Google Scholar 

  27. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of test. Psychometrika, 16, 297–334.

    Article  Google Scholar 

  28. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New Jersey: Lawrence Erlbaum Associates.

    Google Scholar 

  29. Meredith, W., & Teresi, J. A. (2006). An essay on measurement and factorial invariance. Medicine Care, 44, S69–S77.

    Article  Google Scholar 

  30. Raphael, C., Briscoe, C., Davies, J., Ian Whinnett, Z., Manisty, C., Sutton, R., et al. (2007). Limitations of the New York Heart Association functional classification system and self-reported walking distances in chronic heart failure. Heart, 93(4), 476–482.

    Article  PubMed  Google Scholar 

  31. Herdman M, Ferrer M, Rajmil L, Brugulat P, Vilagut G, Medina A et al. (2008) Monitoring Health-Related Quality of Life in the Catalan Health Interview Survey using the EQ-5D. 15th Annual Conference of the International Society for Quality of Life Research (ISOQOL), 22-25 October 2008. Montevideo, Uruguay. Quality of life Research suppl, A-26.

  32. Vet, H. C., Ader, H. J., Terwee, C. B., & Pouwer, F. (2005). Are factor analytical techniques used appropriately in the validation of health status questionnaires? A systematic review on the quality of factor analysis of the SF-36. Quality of Life Research, 14, 1203–1218.

    Article  PubMed  Google Scholar 

  33. Reise, S. P., Morizot, J., & Hays, R. D. (2007). The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Quality of Life Research, 16(Suppl 1), 19–31.

    Article  PubMed  Google Scholar 

  34. Chen, F. F., West, S. G., & Sousa, K. H. (2006). A Comparison of Bifactor and Second-Order Models of Quality of Life. Multivariate Behavioral Research, 41, 189–225.

    Article  Google Scholar 

  35. Quittan, M., Wiesinger, G. F., Crevenna, R., Nuhr, M. J., Posch, M., Hülsmann, M., et al. (2001). Cross-cultural adaptation of the Minnesota Living with Heart Failure Questionnaire for German-speaking patients. Journal of Rehabilitation Medicine, 33, 182–186.

    Article  PubMed  CAS  Google Scholar 

  36. Briancon, S., Alla, F., Méjat, E., Guillemin, F., Villemot, J. P., Mertes, P. M., et al. (1997). Measurement of functional inability and quality of life in cardiac failure. Transcultural adaptation and validation of the Goldman, Minnesota and Duke questionnaires. Archives des Maladies du Coeur et des Vaisseaux, 90, 1577–1585.

    PubMed  CAS  Google Scholar 

  37. Ho, C. C., Clochesy, J. M., Madigan, E., & Liu, C. C. (2007). Psychometric evaluation of the Chinese version of the Minnesota Living with Heart Failure Questionnaire. Nursing Research, 56, 441–448.

    Article  PubMed  Google Scholar 

  38. Garin, O., Soriano, N., Ribera, A., Ferrer, M., Pont, A., Alonso, J., et al. (2008). Validación de la versión española del Minnesota Living with Heart Failure Questionnaire[Validation of the Spanish version of Minnesota Living with Heart Failure Questionnaire]. Revista española de cardiología, 61, 251–259.

    Article  PubMed  Google Scholar 

  39. Miani, D., Rozbowsky, P., Gregori, D., Pilotto, L., Albanese, M. C., Fresco, C., et al. (2003). The Kansas City Cardiomyopathy Questionnaire: Italian translation and validation. Italian Heart Journal, 4, 620–626.

    PubMed  Google Scholar 

  40. Saccomann, I. C., Cintra, F. A., & Gallani, M. C. (2007). Psychometric properties of the Minnesota Living with Heart Failure–Brazilian version–in the elderly. Quality of Life Research, 16, 997–1005.

    Article  PubMed  Google Scholar 

  41. Carvalho, V. O., Guimarães, G. V., Carrara, D., Bacal, F., & Bocchi, E. A. (2009). Validation of the Portuguese version of the Minnesota Living with Heart Failure Questionnaire. Arquivos Brasileiros de Cardiologia, 93, 39–44.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors are very grateful to the members of the IQOD Project, managed by the MAPI Research Institute, and to all the institutions and patients that have made it possible. Furthermore, we would like to thank JM Valderas for his special support in the initial preparation of this article and Carlos Garcia-Forero for his contribution to the interpretation of our results. This study was supported by European Commission contract QLRI-CT-2000-00551 (IQOD), CIRIT (2001SGR 00405), SAF2002-11009-E and the CIBER de Epidemiología y Salud Pública, CIBERESP.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Montse Ferrer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Garin, O., Ferrer, M., Pont, À. et al. Evidence on the global measurement model of the Minnesota Living with Heart Failure Questionnaire. Qual Life Res 22, 2675–2684 (2013). https://doi.org/10.1007/s11136-013-0383-z

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-013-0383-z

Keywords

Navigation