RT Journal Article
SR Electronic
T1 Influences of facial disfigurement and social support for psychosocial adjustment among patients with oral cancer in Taiwan: a cross-sectional study
JF BMJ Open
JO BMJ Open
FD British Medical Journal Publishing Group
SP e023670
DO 10.1136/bmjopen-2018-023670
VO 8
IS 11
A1 Tsae-Jyy Wang
A1 Ming-Hsiu Lu
A1 Pei-Ling Kuo
A1 Yi-Wei Chen
A1 Shu-Chiung Lee
A1 Shu-Yuan Liang
YR 2018
UL http://bmjopen.bmj.com/content/8/11/e023670.abstract
AB Objective To explore the influences of facial disfigurement and social support for psychosocial adjustment in patients with oral cancer.Design A cross-sectional design was used for the study.Participants and setting A 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.Measures Data were collected using the study questionnaires, including the Facial Disfigurement Scale, the Social Support Scale and the Psychosocial Adjustment to Illness Scale.Results The 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).Conclusions The 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.