| Literature DB >> 16941743 |
Sook Yeon Hwang1, Byeong-Woo Park.
Abstract
By analyzing the data of 459 patients who completed the Supportive Care Needs Survey (SCNS), the prevalence, medical and non-medical predictors of unmet needs were investigated. Breast cancer patients in Korea experienced high levels of unmet needs across the needs domains, particularly in the health system and information domain (56.9%). Various medical and non-medical variables were identified as significant predictors of unmet needs in each domain. By multivariate analyses, several predictors were identified across the domains including; less education (< or = 9 years) in the psychologic, chemotherapy, short post-surgical interval, and less education in the physical and daily living, younger age (< 50 years) in the sexuality, larger tumor size (> 2 cm) and younger age in the health system and information, and more education (> or = 13 years) in the care and support domain. The results of this study suggest medical professional should consider the complexity and dynamics of meeting patients' needs in providing supportive care services.Entities:
Mesh:
Year: 2006 PMID: 16941743 PMCID: PMC2687734 DOI: 10.3349/ymj.2006.47.4.524
Source DB: PubMed Journal: Yonsei Med J ISSN: 0513-5796 Impact factor: 2.759
Medical Characteristics of the Patients
BCS, breast conservation surgery; MRM, modified radical mastectomy.
Social Characteristics of the Patients
Prevalence of Having Needs in Breast Cancer Patients According to Five Domains
*Physical & daily living domain.
HSI, health system and information.
Ten Highest Needs
*Who reported a moderate/high needs.
Predictors of Having Needs in Five Domains by Social Characteristics
*Physical and daily living domain; HSI, health system and information.
†Patients care and support domain.
Predictors of Having Needs in Five Domains by Medical Characteristics
HSI, health system and information; BCS, breast conservation surgery; MRM, modified radical mastectomy.
*Physical & daily living domain.
†Patients care and support domain.
Multivariate Analysis of Social and Medical Characteristics on the Five Domains
CI, confidence interval; Physical, Physical & daily living domain; HSI, Health system and information.
*significantly different from reference group.