Ana Clara Guimarães da Silva, Liliane Lins-Kusterer, Estela Luz, Carlos Brites
{"title":"跨性别医疗人性化量表的编制和验证。","authors":"Ana Clara Guimarães da Silva, Liliane Lins-Kusterer, Estela Luz, Carlos Brites","doi":"10.1089/trgh.2021.0176","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Stigma and discrimination against transgender people can lead to their segregation. Fighting stigma and discrimination is a crucial strategy to expand access to health services. The goals of the present study were to develop and validate a transgender health care humanization scale (THcH scale) to evaluate the perception of humanization in health care for transgender individuals.</p><p><strong>Methods: </strong>This cross-sectional study included 340 health care providers aged ≥18 years. Participants answered a structured questionnaire when attending HIV/AIDS scientific meetings or at their place of work. An exploratory factor analysis was conducted, using a polychoric matrix and robust diagonally weighted least squares extraction method. The number of retained factors was defined through the parallel analysis technique, with random permutation of the observed data and the use of Robust Promin rotation.</p><p><strong>Results: </strong>The interpretability of correlation matrix items was suggested by the Bartlett's sphericity tests (1633.7, <i>df</i>=91; <i>p</i><0.001) and Kaiser-Meyer-Olkin Test (0.875). The factor structure showed adequate adjustment indices (<i>χ</i><sup>2</sup>=44,200, <i>df</i>=52; root mean square error of approximation <i>p</i><0.05; comparative fit index=0.968; Tucker-Lewis index=0.945; goodness-of-fit index = 0.995). Only one factor was retained by parallel analysis, explained by 54.17% of the variance of the construct and confirmed by the following indices: unidimensional congruence=0.902, explained common variance=0.828, and mean of item residual absolute loadings=0.279. Good reliability was confirmed by Cronbach's alpha test (0.899).</p><p><strong>Conclusion: </strong>The THcH scale showed good psychometric properties. This self-report questionnaire, which can be completed in 5 min, may be useful in scientific research and could guide health care providers in expansion of a Health Humanization Policy and in deconstructing prejudice against transgender people in health care settings.</p>","PeriodicalId":94256,"journal":{"name":"Transgender health","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551756/pdf/","citationCount":"0","resultStr":"{\"title\":\"Development and Validation of a Transgender Health Care Humanization Scale.\",\"authors\":\"Ana Clara Guimarães da Silva, Liliane Lins-Kusterer, Estela Luz, Carlos Brites\",\"doi\":\"10.1089/trgh.2021.0176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Stigma and discrimination against transgender people can lead to their segregation. Fighting stigma and discrimination is a crucial strategy to expand access to health services. The goals of the present study were to develop and validate a transgender health care humanization scale (THcH scale) to evaluate the perception of humanization in health care for transgender individuals.</p><p><strong>Methods: </strong>This cross-sectional study included 340 health care providers aged ≥18 years. Participants answered a structured questionnaire when attending HIV/AIDS scientific meetings or at their place of work. An exploratory factor analysis was conducted, using a polychoric matrix and robust diagonally weighted least squares extraction method. The number of retained factors was defined through the parallel analysis technique, with random permutation of the observed data and the use of Robust Promin rotation.</p><p><strong>Results: </strong>The interpretability of correlation matrix items was suggested by the Bartlett's sphericity tests (1633.7, <i>df</i>=91; <i>p</i><0.001) and Kaiser-Meyer-Olkin Test (0.875). The factor structure showed adequate adjustment indices (<i>χ</i><sup>2</sup>=44,200, <i>df</i>=52; root mean square error of approximation <i>p</i><0.05; comparative fit index=0.968; Tucker-Lewis index=0.945; goodness-of-fit index = 0.995). Only one factor was retained by parallel analysis, explained by 54.17% of the variance of the construct and confirmed by the following indices: unidimensional congruence=0.902, explained common variance=0.828, and mean of item residual absolute loadings=0.279. Good reliability was confirmed by Cronbach's alpha test (0.899).</p><p><strong>Conclusion: </strong>The THcH scale showed good psychometric properties. This self-report questionnaire, which can be completed in 5 min, may be useful in scientific research and could guide health care providers in expansion of a Health Humanization Policy and in deconstructing prejudice against transgender people in health care settings.</p>\",\"PeriodicalId\":94256,\"journal\":{\"name\":\"Transgender health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2023-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551756/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transgender health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1089/trgh.2021.0176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/10/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transgender health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1089/trgh.2021.0176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
Development and Validation of a Transgender Health Care Humanization Scale.
Purpose: Stigma and discrimination against transgender people can lead to their segregation. Fighting stigma and discrimination is a crucial strategy to expand access to health services. The goals of the present study were to develop and validate a transgender health care humanization scale (THcH scale) to evaluate the perception of humanization in health care for transgender individuals.
Methods: This cross-sectional study included 340 health care providers aged ≥18 years. Participants answered a structured questionnaire when attending HIV/AIDS scientific meetings or at their place of work. An exploratory factor analysis was conducted, using a polychoric matrix and robust diagonally weighted least squares extraction method. The number of retained factors was defined through the parallel analysis technique, with random permutation of the observed data and the use of Robust Promin rotation.
Results: The interpretability of correlation matrix items was suggested by the Bartlett's sphericity tests (1633.7, df=91; p<0.001) and Kaiser-Meyer-Olkin Test (0.875). The factor structure showed adequate adjustment indices (χ2=44,200, df=52; root mean square error of approximation p<0.05; comparative fit index=0.968; Tucker-Lewis index=0.945; goodness-of-fit index = 0.995). Only one factor was retained by parallel analysis, explained by 54.17% of the variance of the construct and confirmed by the following indices: unidimensional congruence=0.902, explained common variance=0.828, and mean of item residual absolute loadings=0.279. Good reliability was confirmed by Cronbach's alpha test (0.899).
Conclusion: The THcH scale showed good psychometric properties. This self-report questionnaire, which can be completed in 5 min, may be useful in scientific research and could guide health care providers in expansion of a Health Humanization Policy and in deconstructing prejudice against transgender people in health care settings.