Skip to main content
Log in

Messung der glaukomspezifischen Funktionsfähigkeit mit dem GQL-15 und Korrelation mit Funktionsparametern des Sehens

Measurement of glaucoma-specific functionality with the GQL-15 and correlation with parameters of visual function

  • Originalien
  • Published:
Der Ophthalmologe Aims and scope Submit manuscript

Zusammenfassung

Einleitung

Das Glaukom zählt zu den häufigsten Ursachen irreversibler Erblindung weltweit und kann die Lebensqualität und Funktionsfähigkeit betroffener Patienten signifikant beeinträchtigen. Mit dem englischsprachigen „Glaucoma Quality of Life-15“ (GQL-15) steht seit geraumer Zeit ein spezialisiertes Instrument zur Quantifizierung der funktionellen Beeinträchtigung von Glaukompatienten zur Verfügung. Diese Studie evaluiert eine deutschsprachige Version des GQL-15 und stellt Korrelationen zu Gesichtsfeldparametern her.

Methoden

Eine deutschsprachige Version des GQL-15 mit 15 Items wurde erstellt und an 98 Glaukompatienten in verschiedenen Stadien der Erkrankung evaluiert. Die Ergebnisse des GQL-15 wurden mit perimetrischen Parametern [“mean deviation“ (MD), „pattern standard deviation“ (PSD)] des jeweils besseren und schlechteren Auges korreliert, und es wurde ein lineares Regressionsmodell berechnet. Klassische und probabilistische Testprüfungen (Rasch-Analyse) wurden durchgeführt.

Ergebnisse

Der mittlere GQL-15-Wert aus 15 Fragen (Items) betrug 77,3 ±21,7 (SA). Für die meisten Items zeigte sich eine signifikante Korrelation mit der mittleren Empfindlichkeit des schlechteren (r = −0,416; p = 0,0014) und des besseren Auges (r = −0,304; p = 0,02). Insgesamt korrelierte die glaukombedingte visuelle Funktionseinschränkung besonders gut mit der Empfindlichkeitsminderung des schlechteren Auges und mit der Sehschärfe. Zudem kann eine Kürzung des Fragebogens auf 9 Items erfolgen, um die psychometrischen Eigenschaften zu verbessern.

Zusammenfassung

Der GQL-15 ist ein nach psychometrischer Analyse verlässliches Instrument zur Erfassung der visuellen Funktionseinschränkung von Patienten mit Glaukom. Die GQL-Werte korrelierten in dieser Studie besser mit der Empfindlichkeitsminderung des schlechteren als des besseren Auges. Die gewonnenen Daten ermöglichen es, die Beeinträchtigung des individuellen Patienten besser einzuordnen, und können helfen, die Beratung und Therapie von Patienten mit Glaukom zu verbessern.

Abstract

Introduction

Glaucoma is one of the leading causes of irreversible blindness worldwide and can have a significant impact on patient quality of life and vision-related functioning. The Glaucoma Quality of Life 15 (GQL-15) questionnaire is a disease-specific instrument to evaluate and quantify functional impairment of patients with glaucoma. This study evaluated the German version of the GQL-15 including correlations with perimetric parameters.

Methods

A German version of the GQL-15 containing 15 items was developed and evaluated in 98 patients with glaucoma in different stages of the disease. The GQL-15 results were correlated with the perimetric parameters mean deviation (MD) and pattern standard deviation (PSD) of the better and worse eye. Classical and probabilistic test analyses (Rasch model) were performed.

Results

The mean GQL-15 value was 77.3 ±21.7 (SD) and most items of the GQL-15 correlated significantly with the MD of the worse eye (r = −0.416; p = 0.0014) and the better eye (r = −0.304; p = 0.02). There was also a highly significant correlation between glaucoma-specific QoL and visual acuity. A short version containing nine items yielding a higher psychometric performance can also be used.

Conclusions

The German version of the GQL-15 is a potent instrument to evaluate impairment in vision-specific functioning of patients with glaucoma. The GQL-15 values are better correlated with the sensitivity of the eye with the more severe glaucomatous damage. The data can help for a better understanding of individual patient impairment to improve medical advice and therapy of patients with glaucoma.

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.

Abb. 1
Abb. 2
Abb. 3

Literatur

  1. Aspinall PA, Johnson ZK, Azuara-Blanco A et al (2008) Evaluation of quality of life and priorities of patients with glaucoma. Invest Ophthalmol Vis Sci 49:1907–1915

    Article  PubMed  Google Scholar 

  2. Bechetoille A, Arnould B, Bron A et al (2008) Measurement of health-related quality of life with glaucoma: validation of the Glau-QoL 36-item questionnaire. Acta Ophthalmol Scand 86:71–80

    Article  Google Scholar 

  3. Bressler NM, Chang TS, Suner IJ et al (2010) Vision-related function after ranibizumab treatment by better- or worse-seeing eye: clinical trial results from MARINA and ANCHOR. Ophthalmology 117:747–756

    Article  PubMed  Google Scholar 

  4. Broman AT, Munoz B, West SK et al (2001) Psychometric properties of the 25-item NEI-VFQ in a Hispanic population: Proyecto VER. Invest Ophthalmol Vis Sci 42:606–613

    PubMed  CAS  Google Scholar 

  5. Brown GC (2004) One eye versus two: a value-based approach. Curr Opin Ophthalmol 15:165–166

    Article  PubMed  Google Scholar 

  6. Brown MM, Brown GC, Sharma S et al (2001) Quality of life associated with unilateral and bilateral good vision. Ophthalmology 108:643–647; discussion 647–648

    Article  PubMed  CAS  Google Scholar 

  7. Chang TS, Bressler NM, Fine JT et al (2007) Improved vision-related function after ranibizumab treatment of neovascular age-related macular degeneration: results of a randomized clinical trial. Arch Ophthalmol 125:1460–1469

    Article  PubMed  CAS  Google Scholar 

  8. Cronbach L (1951) Coefficient alpha and the internal structure of tests. Psychometrica. 297–334

  9. Deramo VA, Cox TA, Syed AB et al (2003) Vision-related quality of life in people with central retinal vein occlusion using the 25-item National Eye Institute Visual Function Questionnaire. Arch Ophthalmol 121:1297–1302

    Article  PubMed  Google Scholar 

  10. Finger RP, Fenwick E, Chiang PP et al (2011) The impact of the severity of vision loss on vision-specific functioning in a German outpatient population – an observational study. Graefes Arch Clin Exp Ophthalmol [Epub ahead of print]

  11. Finger RP, Fleckenstein M, Holz FG, Scholl HP (2008) Quality of life in age-related macular degeneration: a review of available vision-specific psychometric tools. Qual Life Res 17:559–574

    Article  PubMed  Google Scholar 

  12. Goldberg I, Clement CI, Chiang TH et al (2009) Assessing quality of life in patients with glaucoma using the Glaucoma Quality of Life-15 (GQL-15) questionnaire. J Glaucoma 18:6–12

    Article  PubMed  Google Scholar 

  13. Gothwal VK, Wright TA, Lamoureux EL, Pesudovs K (2009) Rasch analysis of visual function and quality of life questionnaires. Optom Vis Sci 86:1160–1168

    Article  PubMed  Google Scholar 

  14. Hirneiss C, Schmid-Tannwald C, Kernt M et al (2010) The NEI VFQ-25 vision-related quality of life and prevalence of eye disease in a working population. Graefes Arch Clin Exp Ophthalmol 248:85–92

    Article  PubMed  Google Scholar 

  15. Jampel HD, Frick KD, Janz NK et al (2007) Depression and mood indicators in newly diagnosed glaucoma patients. Am J Ophthalmol 144:238–244

    Article  PubMed  Google Scholar 

  16. Jampel HD, Schwartz A, Pollack I et al (2002) Glaucoma patients‘ assessment of their visual function and quality of life. J Glaucoma 11:154–163

    Article  PubMed  Google Scholar 

  17. Janz NK, Wren PA, Lichter PR et al (2001) The Collaborative Initial Glaucoma Treatment Study: interim quality of life findings after initial medical or surgical treatment of glaucoma. Ophthalmology 108:1954–1965

    Article  PubMed  CAS  Google Scholar 

  18. Klein R, Moss SE, Klein BE et al (2001) The NEI-VFQ-25 in people with long-term type 1 diabetes mellitus: the Wisconsin Epidemiologic Study of Diabetic Retinopathy. Arch Ophthalmol 119:733–740

    PubMed  CAS  Google Scholar 

  19. Kobelt G, Jonsson B, Bergstrom A et al (2006) Cost-effectiveness analysis in glaucoma: What drives utility? Results from a pilot study in Sweden. Acta Ophthalmol Scand 84:363–371

    Article  PubMed  Google Scholar 

  20. Lamoureux EL, Ferraro JG, Pallant JF et al (2007) Are standard instruments valid for the assessment of quality of life and symptoms in glaucoma? Optom Vis Sci 84:789–796

    Article  PubMed  Google Scholar 

  21. Lee BS, Kymes SM, Nease RF Jr et al (2007) The impact of anchor point on utilities for 5 common ophthalmic diseases. Ophthalmology 115:898–903

    Article  PubMed  Google Scholar 

  22. Mangione CM, Lee PP, Gutierrez PR et al (2001) Development of the 25-item National Eye Institute Visual Function Questionnaire. Arch Ophthalmol 119:1050–1058

    PubMed  CAS  Google Scholar 

  23. Mangione CM, Lee PP, Pitts J et al (1998) Psychometric properties of the National Eye Institute Visual Function Questionnaire (NEI-VFQ). NEI-VFQ Field Test Investigators. Arch Ophthalmol 116:1496–1504

    PubMed  CAS  Google Scholar 

  24. Massof RW (2008) Moving toward scientific measurements of quality of life. Ophthalmic Epidemiol 15:209–211

    Article  PubMed  Google Scholar 

  25. McKean-Cowdin R, Varma R, Wu J et al (2007) Severity of visual field loss and health-related quality of life. Am J Ophthalmol 143:1013–1023

    Article  PubMed  Google Scholar 

  26. McKean-Cowdin R, Wang Y, Wu J et al (2008) Impact of visual field loss on health-related quality of life in glaucoma. The Los Angeles Latino Eye Study. Ophthalmology 115:941–948

    Article  PubMed  Google Scholar 

  27. Nelson P, Aspinall P, O’Brien C (1999) Patients‘ perception of visual impairment in glaucoma: a pilot study. Br J Ophthalmol 83:546–552

    Article  PubMed  CAS  Google Scholar 

  28. Nelson P, Aspinall P, Papasouliotis O et al (2003) Quality of life in glaucoma and its relationship with visual function. J Glaucoma 12:139–150

    Article  PubMed  Google Scholar 

  29. Pesudovs K, Burr JM, Harley C, Elliott DB (2007) The development, assessment, and selection of questionnaires. Optom Vis Sci 84:663–674

    Article  PubMed  Google Scholar 

  30. Quigley HA, Broman AT (2006) The number of people with glaucoma worldwide in 2010 and 2020. Br J Ophthalmol 90:262–267

    Article  PubMed  CAS  Google Scholar 

  31. Severn P, Fraser S, Finch T, May C (2008) Which quality of life score is best for glaucoma patients and why? BMC Ophthalmol 8:2

    Article  PubMed  Google Scholar 

  32. Skalicky S, Goldberg I (2008) Depression and quality of life in patients with glaucoma: a cross-sectional analysis using the Geriatric Depression Scale-15, assessment of function related to vision, and the Glaucoma Quality of Life-15. J Glaucoma 17:546–551

    Article  PubMed  Google Scholar 

  33. Streiner DL NG (2003) Measurement scales: a practical guide to their development and use, 3. Aufl. Oxford University Press, New York

  34. Varma R, Wu J, Chong K et al (2006) Impact of severity and bilaterality of visual impairment on health-related quality of life. Ophthalmology 113:1846–1853

    Article  PubMed  Google Scholar 

  35. Zanlonghi X, Arnould B, Bechetoille A et al (2003) Glaucoma and quality of life. J Fr Ophtalmol 26(Spec No 2):S39–S44

    PubMed  Google Scholar 

Download references

Interessenkonflikt

Der korrespondierende Autor gibt an, dass kein Interessenkonflikt besteht.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. Hirneiß.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hirneiß, C., Vogel, M., Kampik, A. et al. Messung der glaukomspezifischen Funktionsfähigkeit mit dem GQL-15 und Korrelation mit Funktionsparametern des Sehens. Ophthalmologe 108, 939–946 (2011). https://doi.org/10.1007/s00347-011-2402-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00347-011-2402-1

Schlüsselwörter

Keywords

Navigation