| Purpose:1. To describe social-demographic characteristics, physical condition and social-psychological characteristics of malignant gynecologic oncology patients with postoperative chemotherapy.2. To describe the current survival status of patients3. To explore and analyze the influencing factors of quality of life patients.Methods:1.A total of122patients with advanced stage gynecological cancer confirmed by postoperative pathologic examination were recruited before next chemotherapy cycle by convenient sampling method and were investigated with social demography questionnaire, disease-related questionnaire, FACT-G, SDS, SAS, SSRS,TCSQ.2.Statistical terms such as frequency, rate, mean and standard deviation were used to describe social-demography data, physical condition, social-psychological characteristics, total scores and scores of each dimension of patients’quality of life. Analysis of variance was used to compile statistics of the difference level of Patients’ quality of life among groups. The Pearson correlation analysis was used to analyze relationship between quality of life and depression, anxiety, social support and trait coping styles. Quality of life and each dimension scores as the dependent variable, perceived severity of illness, physical status, symptom experiences, anxiety, depression, social support and trait coping style score as independent variables, multiple stepwise regression analysis was used to discuss the quality of life and influencing factors of each dimension.Results:Current survival status of malignant gynecologic oncology patients with postoperative chemotherapy. Totally122patients aged16to83years old were enrolled in this study, the average age was (51.63±14.63) years old;49patients under the age of45(36.9%);45patients over the age of60(36.9%);110patients with below middle education (90.1%);104cases married (85.2%),11cases unmarried (9.0%),7cases divorced or widowed(5.8%);65patients were manual workers (53.2%),27retired patients (22.1%);71patients were city residents (58.2%), rural patients35(28.7%);94(67.1%) cases had an average monthly income of <3000yuan;62(50.8%) patients paid medical expenses in the way of insurance,39(32.0%) patients with new rural cooperative medical care.There were75cases of ovarian cancer,26cases of cervical cancer,21cases of endometrial cancer in this study. Diagnosed age was16to79years, the average age was50.64±14.41years old;63(51.7%) patients felt very serious and serious with perceived severity of illness; ECOG PFS stage3and stage4were30patients (24.4%). patient’s mean score of symptom experiences was29.41±6.98, the top six were alopecia, fatigue, loss of appetite, nausea, vomiting, and dysomnia. The incidence of gynecological malignancies anxiety (SAS) was29.5%, mean anxiety score of45.46±10.73points,14(11.5%) patients with moderate to severe anxiety. Mean score of patients with depression (SDS) was0.51±0.14,60(49.2%) patients with overall mild depression and depression,39(32.1%) patients with moderate to severe depression. Mean score of patients with objective support was8.88±2.62points, subjective support was24.69±5.16,7.22±2.04points in utilization of support, overall mean score of social support was40.79±7.60, compared with the norm, the difference was statistically significant (t=9.027, p<0.000). NC was28.12±7.83points, PC was35.08±8.25points, TCSQ was63.21±10.37points.Scores of each dimension and overall life quality in gynecological cancer patients were lower than that in the norm:the FACT-G total score66.51±15.41, SWB score19.49±6.11, PWB total score16.66±5.54, EWB score15.88±5.12, FWB score14.48±6.25. There were statistically differences of QOL among different ages, residents, occupation, style of paid medical expenses, patients with different perceived severity of illness, FPS, symptom experiences, and so on. Pearson correlation analysis showed that. The patients with different Anxiety and depression in PWB, EWB, FWB and FACT-G had significant difference(p<0.01). Correlation analysis results showed the social support and QOL was positively correlated (p<0.05). The correlation analysis showed that positive coping style and score of the patient’s physical condition, emotional status, functional status and quality of life was positively correlated (p<0.05; p<0.01), total score of trait coping and functional status and quality of life score was significantly positive correlation(p<0.01).Multiple stepwise regression analysis showed that the main factors influencing the quality of life of patients were anxiety, TCSQ, objective support, and perceived severity of illness. They were used to explain47.5%of the variance in the quality of life. Anxiety, symptom experiences scores and PFS can predict49.3%of the variation in physiological conditions; objective support can predict8.7%of the variance of social/family status; perceived severity of illness and anxiety can predict23.3%of the variance in the emotional state; symptom, anxiety score and TCSQ can predict39.2%of the variance in functional status.Conclusion:1. Total level of quality of life and the scores of each dimension of malignant gynecologic oncology patients with postoperative chemotherapy were low. Most of the patients can get support from family; Sexual life dysfunction affected the patient’s quality of life seriously.2. The quality of life of patients with gynecological malignancies was mainly affected by age, marital status, occupation, place of residence, way of medical payment, perceived severity of illness, PFS and symptom experiences.3. The quality of life of patients was affected by anxiety and depression, The lower level of anxiety and depression, the higher of their quality of life.4. The quality of life of patients was affected by social support. The more social support they got, the higher of their quality of life.5. The quality of life of patients was affected by trait coping style. Patients with positive coping styles would have high quality of life. |
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