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Functional assessment of cancer therapy questionnaire for melanoma in the Serbian population: A factor analytic approach
Author(s) -
Suzana Matković,
Jelena Dotlić,
Tatjana Gazibara,
Gorica Marić,
Vladimir Nikolić,
Nataša Maksimović
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0253937
Subject(s) - confirmatory factor analysis , serbian , exploratory factor analysis , medicine , population , quality of life (healthcare) , clinical psychology , construct validity , psychology , psychometrics , structural equation modeling , statistics , philosophy , linguistics , mathematics , environmental health , nursing
The aim of this study was to examine the psychometric properties of the Functional Assessment Cancer Therapy—Melanoma (FACT-M) questionnaire in the Serbian language. The FACT-M was translated into Serbian using the standard methodology after obtaining the licence from the Functional Assessment of Chronic Illness Therapy (FACIT) translation project team. This version of FACT-M was distributed to a cohort of consecutive patients with histologically confirmed high-risk skin melanoma treated at the tertiary referral center. To examine construct validity of the FACT-M in Serbian, we performed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The FACT-General (FACT-G) did not fit the original 4-domain structure. Instead, we accepted a 7-domain structure which, aside from physical, emotional, social and functional well-being, had domains of ‘friends’ support’, ‘illness acceptance’ and ‘fear of death’. Melanoma scale (MS) and Melanoma surgery scale (MSS) did not fit the original one-dimensional structure. The MS was observed to have 4 domains: ‘pain’, ‘skin problems’, ‘abdominal metastases’ and ‘other problems’. The MSS was observed to have 2 domains: ‘having symptoms’ and ‘no symptoms’. It is suggested that the FACT-M questionnaire is analyzed using the newly extracted domains to examine quality of life of people with high-risk melanoma in Serbia.

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