4.6 Article

Influences of facial disfigurement and social support for psychosocial adjustment among patients with oral cancer in Taiwan: a cross-sectional study

Journal

BMJ OPEN
Volume 8, Issue 11, Pages -

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2018-023670

Keywords

facial disfigurement; social support; mouth neoplasms; adjustment disorders

Funding

  1. Ministry of Science and Technology of the Republic of China [97-2314-B-227-002-MY2]

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ObjectiveTo explore the influences of facial disfigurement and social support for psychosocial adjustment in patients with oral cancer.DesignA cross-sectional design was used for the study.Participants and settingA convenience sample of 77 patients with oral cancer was recruited from the otolaryngology and oral and maxillofacial surgery outpatient clinics of three general hospitals in Taiwan.MeasuresData were collected using the study questionnaires, including the Facial Disfigurement Scale, the Social Support Scale and the Psychosocial Adjustment to Illness Scale.ResultsThe mean score on the Psychosocial Adjustment to Illness Scale was 413.01 (SD=32.32); 71.4% of the participants were maladjusted. Results of multiple regression analysis showed statistically significant main effects of tumour site (beta=0.37), facial disfigurement (beta=0.35) and social support (beta=-1.01), and the interaction effect of facial disfigurement and social support (beta=0.79) (all p<0.05) on psychosocial adjustment after controlling for other sociodemographic and clinical variables. All variables together explained 62% of the variance in psychosocial adjustment (F(16, 55)=14.98, p<0.001).ConclusionsThe level of psychosocial adjustment in patients with oral cancer was suboptimal. Poorer psychosocial adjustment was reported by patients with more severe facial disfigurement and less social support. Patients with cancers in other areas of the oral cavity also reported poorer psychosocial adjustment than patients with cancers in the buccal mucosa. Medical professionals may use these variables to identify higher risk groups for early intensive intervention.

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