Adaptação do Questionário Standardized Patient Evaluation of Eye Dryness para Português (SPEED-Vp) numa População Não Clínica

Ana Lúcia Sanches; Sara Gisela Leite; António Nunes; Miguel Caixinha; Pedro Monteiro; Amélia Nunes

doi:10.20344/amp.18557

Authors

Ana Lúcia Sanches Universidade da Beira Interior. Covilhã. https://orcid.org/0000-0003-2295-9178
Sara Gisela Leite Universidade da Beira Interior. Covilhã. https://orcid.org/0000-0002-2952-214X
António Nunes Universidade da Beira Interior. Covilhã; NECE - Research Center for Business Sciences. Management and Economics Department. University of Beira Interior. Covilhã.
Miguel Caixinha Universidade da Beira Interior. Covilhã; CEMMPRE - Centre for Mechanical Engineering, Materials and Processes. University of Coimbra. Coimbra.
Pedro Monteiro Universidade da Beira Interior. Covilhã; CICS - Centro de Investigação em Ciências da Saúde. Universidade da Beira Interior. Covilhã; CCECV - Centro Clínico e Experimental em Ciências da Visão. Universidade da Beira Interior. Covilhã.
Amélia Nunes Universidade da Beira Interior. Covilhã; CICS - Centro de Investigação em Ciências da Saúde. Universidade da Beira Interior. Covilhã; CCECV - Centro Clínico e Experimental em Ciências da Visão. Universidade da Beira Interior. Covilhã. https://orcid.org/0000-0002-5001-3534

DOI:

https://doi.org/10.20344/amp.18557

Keywords:

Dry Eye Syndromes, Language, Portugal, Psychometrics, Reproducibility of Results, Surveys and Questionnaires

Abstract

Introduction: The aim of this study was to translate and adapt the Standardized Patient Evaluation of Eye Dryness questionnaire to European Portuguese, as well as assess the psychometric performance of the translated version, including repeatability and agreement.
Material and Methods: The original Standardized Patient Evaluation of Eye Dryness - SPEED questionnaire was translated and adapted to the Portuguese cultural context by following a scientifically valid methodology commonly used in the process of adapting tools to other cultures and languages.
The questionnaire resulting from the translation into the new language was subject to a pre-test where the comments of the participants were written and considered for the final version of the questionnaire. For the scale validation of the final version of the translated questionnaire, 89 subjects from a non-clinical population, aged 18 to 84 years, were asked to answer the questionnaire (61% were women). One week later, the same questionnaire was repeated by 63 subjects. The internal reliability of the questionnaire was analyzed by Cronbach’s alpha, temporal stability by test-retest, and analysis of agreement between measures by the Bland-Altman method.
Results: The internal consistency of the translated questionnaire, SPEED-vP was high (α = 0.871) and all questionnaire items contributed to an increase in this index. This consistency was also confirmed to be high in the retest (α = 0.856) and when the sample was stratified by age and sex. The SPEED-complete questionnaire also showed high consistency (α = 0.88). The repeatability of the instrument was high (ICC 0.933; 95% CI: 0.899 and 0.960) and the Bland-Altman plot revealed good agreement between measures.
Conclusion: The Standardized Patient Evaluation of Eye Dryness in Portuguese (SPEED-vP) showed good psychometric properties for the Portuguese population. Therefore, the translated version of the SPEED-vP questionnaire could be used to quantitatively measure the presence of dry eye symptoms in the Portuguese population.

Downloads

Download data is not yet available.

References

Craig JP, Nichols KK, Akpek EK, Caffery B, Dua HS, Joo CK, et al. TFOS DEWS II definition and classification report. Ocul Surf. 2017;15:276-83.

Henriques J, Vaz-Pereira S, Nascimento J, Rosa P. Diabetic eye disease. Acta Med Port. 2015;28:107-13.

Vaz F, Henriques S, Silva D, Roque J, Lopes A, Mota M. Digital asthenopia: Portuguese Group of Ergophthalmology Survey. Acta Med Port. 2019;32:260-5.

Stapleton F, Alves M, Bunya VY, Jalbert I, Lekhanont K, Malet F, et al. TFOS DEWS II epidemiology report. Ocul Surf. 2017;15:334–65.

Wang MT, Muntz A, Mamidi B, Wolffsohn JS, Craig JP. Modifiable lifestyle risk factors for dry eye disease. Cont Lens Anterior Eye. 2021;44:101409.

Hashmani N, Munaf U, Saleem A, Javed SO, Hashmani S. Comparing SPEED and OSDI questionnaires in a non-clinical sample. Clin Ophthalmol. 2021;15:4169–73.

Asiedu K, Kyei S, Mensah SN, Ocansey S, Abu LS, Kyere EA. Ocular Surface Disease Index (OSDI) versus the Standard Patient Evaluation of Eye Dryness (SPEED): a study of a nonclinical sample. Cornea. 2016;35:175–80.

Ngo W, Situ P, Keir N, Korb D, Blackie C, Simpson T. Psychometric properties and validation of the Standard Patient Evaluation of Eye Dryness questionnaire. Cornea. 2013;32:1204–10.

Kyei S, Dzasimatu SK, Asiedu K, Ayerakwah PA. Association between dry eye symptoms and signs. J Curr Ophthalmol. 2018;30:321-5.

Blackie CA, Solomon JD, Scaffidi RC, Greiner JV, Lemp MA, Korb DR. The relationship between dry eye symptoms and lipid layer thickness. Cornea. 2009;28:789-94.

Wolffsohn JS, Arita R, Chalmers R, Djalilian A, Dogru M, Dumbleton K, et al. TFOS DEWS II diagnostic methodology report. Ocul Surf. 2017;15: 539–74.

Facchin A, Boccardo L. Italian translation, validation, and repeatability of Standard Patient Evaluation of Eye Dryness (SPEED) Questionnaire. Cont Lens Anterior Eye. 2021;101497.

Gjersing L, Caplehorn JR, Clausen T. Cross-cultural adaptation of research instruments: language, setting, time and statistical considerations. BMC Med Res Methodol. 2010;10:13.

Wild D, Grove A, Martin M, Eremenco S, McElroy S, Verjee-Lorenz A, et al. Principles of good practice for the translation and cultural adaptation process for patient reported outcomes (PRO) measures: report of the ISPOR Task Force for Translation and Cultural Adaptation. Value Health. 2005;8:94-104.

Perneger TV, Courvoisier DS, Hudelson PM, Gayet-Ageron A. Sample size for pre-tests of questionnaires. Qual Life Res. 2015;24:147-51.

Bujang MA, Omar ED, Baharum NA. A review on sample size determination for Cronbach’s alpha test: a simple guide for researchers. Malays J Med Sci. 2018;25:85–99.

Hashmani N, Munaf U, Saleem A, Javed SO, Hashmani S. Comparing SPEED and OSDI questionnaires in a non-clinical sample. Clin Ophthalmol. 2021;15:4169.

Taber KS. The use of Cronbach’s alpha when developing and reporting research instruments in science education. Res Sci Educ. 2018;48:1273–96.

Haghayegh S, Kang HA, Khoshnevis S, Smolensky MH, Diller KR. A comprehensive guideline for Bland–Altman and intra class correlation calculations to properly compare two methods of measurement and interpret findings. Physiol Meas. 2020;41:055012.

Myles PS, Cui JI. Using the Bland–Altman method to measure agreement with repeated measures. Br J Anaesth. 2007;99:309-11.

Garza-León M, Valencia-Garza M, Martínez-Leal B, Villarreal-Peña P, Marcos-Abdala HG, Cortéz-Guajardo AL, et al. Prevalence of ocular surface disease symptoms and risk factors in group of university students in Monterrey, Mexico. J Ophthalmic Inflamm Infect. 2016;6:1-7.

Weng HY, Ho WT, Chiu CY, Tsai TY, Chang SW. Characteristics of tear film lipid layer in young dry eye patients. J Formos Med Assoc. 2021;120:1478-84.

Barabino S. Is dry eye disease the same in young and old patients? A narrative review of the literature. BMC Ophthalmol. 2022;22:1-6.

Zhang Y, Chen H, Wu X. Prevalence and risk factors associated with dry eye syndrome among senior high school students in a county of Shandong Province, China. Ophthalmic Epidemiol. 2021;19:226-30.