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Objective:To understand the reliability and validity of quality of life instruments for cancer patients-brain neoplasm [QLICP-BN (V1.0)], a self-developed quality of life scale for cancer patients.Methods:The quality of life of 112 patients with brain neoplasms in Yunnan Cancer Hospital from March 2012 to November 2013 was measured. The general data questionnaire and QLICP-BN (V1.0) were used for data collection. The reliability, validity and responsiveness of the scale were tested, and then the metric characteristics of the scale were evaluated.Results:The split-half reliability of the total score of the scale was 0.95, the Cronbach αcoefficient was 0.92, and the test-retest correlation coefficient rwas 0.78. After extracting common factors by the principal component method and rotating with the maximum variance, the specific module obtained three principal components, and the cumulative variance contribution rate was 64.18%. The score of specific module was 75.30±17.44 before treatment and 78.91±12.20 after treatment ( t=-2.481, P=0.015). The total score of scale before treatment was 65.26±12.29, and that after treatment was 69.62±10.41, with a statistically significant difference ( t=-4.492, P<0.001). The total responsiveness of the scale was 0.456, showing moderate responsiveness. Conclusion:QLICP-BN (V1.0) has good reliability, validity and a certain degree of responsiveness. It can be used as a measurement tool for the quality of life of patients with brain neoplasms in China.
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Objective:To present briefly introductions and evaluations on the constructs, psychometric properties (reliability, validity, reactivity etc.) and applications of the system of Quality of Life Instruments for Cancer Patients QLICP(V1.0) including 12 kinds of scales for patients with head and neck cancer, brain cancer, lung cancer, breast cancer, esophageal cancer, gastric cancer, colorectal cancer, liver cancer, cervical cancer, ovarian cancer, leukemia and lymphoma.Methods:Based on our measuring data from relevant patients at hospitals, the constructs, characteristics and psychometrics of the system above were analyzed and presented. Internal consistency reliability for each domain and the overall scale was assessed using Cronbach's alpha coefficient, and test-retest reliability through calculating the Pearson correlation coefficient between the first and second assessments. The criterion-related validity was evaluated by correlating corresponding domains of two instruments. Responsiveness was assessed through comparing the mean difference between the pre-treatment and post-treatments with standardized response mean (SRM). The use agreements and literature reviews of this system were used to understand the applications of 12 kinds measurement scales.Results:The quality of life scales for 12 kinds of cancer patients of the system QLICP(V1.0) have good construct( 5 domains, 11-15 facets), reliability, validity and a certain degree of responsiveness. The internal consistency reliability Cronbach's α coefficients for the overall scale of QLICP in different cancers was from 0.67 to 0.92, and the test-retest reliability (correlation coefficient) was from 0.61 to 0.99. The criterion-related validity (correlation coefficient) was for the overall scale of QLICP in different cancers was from 0.28 to 0.89, and the responsiveness SRM was from 0.25 to 1.28. And also they were widely used in clinical practice and relevant studies for the corresponding cancers.Conclusion:The system QLICP(V1.0) is of outstanding characteristics with all psychometrics meeting requirements and better construct (clear hierarchical structure with items→ facets→ domains→ overall ), and can be used widely in clinical practice further.
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Objective@#To compare the differences and similarities among the system of quality of life instruments for cancer patients (QLICP) V1.0, the quality of life questionnaire (QLQ) from European Organization for Research and Treatment of Cancer (EORTC) and Functional Assessment of Cancer Therapy (FACT) from Center on Outcomes, Research and Education (CORE) of America.@*Methods@#Based on literatures and our measuring data from patients at hospitals, the constructs, characteristics and psychometrics of the systems above were analyzed and compared. Internal consistency reliability was assessed using Cronbach α coefficient for each domain, and test-retest reliability through calculating the Pearson correlation coefficient r between the first and second assessments as well as intra-class correlation (ICC). Construct validity was evaluated by Pearson correlation coefficient r (item-domains correlations) and factor analysis. The criterion-related validity was evaluated by correlating corresponding domains of two instruments. Responsiveness was assessed through comparing the mean difference between the pre-treatment and post-treatment with standardized response mean (SRM).@*Results@#The instruments of three systems were of different outstanding characteristics with all psychometrics meeting requirements. Measurements for 12 types of cancers showed that the internal consistency reliability Cronbach α coefficient for the overall scale of QLICP (V1.0) was 0.67-0.92, and for FACT was 0.79-0.98. The test-retest reliability (r or ICC) for the overall scale of QLICP (V1.0) was 0.61-0.99, and for FACT was 0.60-0.98. The SRM for the overall scale of QLICP (V1.0) was 0.25-1.28, and for FACT was 0.11-0.83. However, the QLICP was of better construct (clear hierarchical structure with items→facets→domains→overall) and Chinese culture.@*Conclusion@#The instruments of three systems can be used as the instruments to assess quality of life for patients with cancer with selections basing on different settings.
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Objective To compare the differences and similarities among the system of quality of life instruments for cancer patients (QLICP) V1.0,the quality of life questionnaire (QLQ) from European Organization for Research and Treatment of Cancer (EORTC) and Functional Assessment of Cancer Therapy (FACT) from Center on Outcomes,Research and Education (CORE) of America.Methods Based on literatures and our measuring data from patients at hospitals,the constructs,characteristics and psychometrics of the systems above were analyzed and compared.Internal consistency reliability was assessed using Cronbach α coefficient for each domain,and test-retest reliability through calculating the Pearson correlation coefficient r between the first and second assessments as well as intra-class correlation (ICC).Construct validity was evaluated by Pearson correlation coefficient r (item-domains correlations) and factor analysis.The criterion-related validity was evaluated by correlating corresponding domains of two instruments.Responsiveness was assessed through comparing the mean difference between the pre-treatment and post-treatment with standardized response mean (SRM).Results The instruments of three systems were of different outstanding characteristics with all psychometrics meeting requirements.Measurements for 12 types of cancers showed that the internal consistency reliability Cronbach α coefficient for the overall scale of QLICP (V1.0) was 0.67-0.92,and for FACT was 0.79-0.98.The test-retest reliability (r or ICC) for the overall scale of QLICP (V1.0) was 0.61-0.99,and for FACT was 0.60-0.98.The SRM for the overall scale of QLICP (V1.0) was 0.25-1.28,and for FACT was 0.11-0.83.However,the QLICP was of better construct (clear hierarchical structure with items→facets→domains→overall) and Chinese culture.Conclusion The instruments of three systems can be used as the instruments to assess quality of life for patients with cancer with selections basing on different settings.
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Objective To study the influencing factors of primary hypertension by investigating its prevalence in elderly patients of Deang nationality.Methods Nine hundred and thirty-nine elderly patients of Deang nationality were divided into hypertension group (n =353),prehypertension group (n=377) and control group (n=209).Their physical examination data were recorded and their blood pressure was measured.Results The detection rate of hypertension was significantly lower in elderly patients of Deang nationality than in those of the other nationalities in our country with their age ≥60 years (37.6％ vs 49.0％,P＜0.05).The detection rate of hypertension,isolated systolic hypertension and prehypertension increased with the increasing age (P＜0.05).Multivariate logistic regression analysis showed a cross interaction between economic level and alcohol drinking (P＜0.05) and a positive correlation of BMI,age,gender,divorce or widow,smonking,high salt diet with hypertension (P＜0.05).Conclusion The detection rate of hypertension is lower in elderly patients of Deang nationality than in those of the other nationalities in our country.Economic level,alcohol drinking,BMI,age,gender,divorce or widow,smoking,high salt and fat diet are the major risk factors for hypertension.However,regular eating of vegetables can reduce the risk of hypertension.
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Objective To analyze the influence factors on quality of life(QOL) in patients with ovarian cancer in order to provide the basis for improving QOL of patients with ovarian cancer .Methods The quality of life of 73 patients with ovarian cancer was investigated by QLICP‐OV questionnaire .Descriptive statistics ,one‐way analysis of variance ,t‐test and multiple linear regres‐sion analysis were used to explore impact factors of quality of life .Results The total QOL score of 73 patients with ovarian cancer was 64 .85 ± 9 .37 .Single factor analysis indicated that nation ,marital status ,education ,occupation and medical treatments were sig‐nificantly related to some domains scores of the QLICP‐OV(P<0 .05) .The multivariate linear regression analysis indicated that the influence factor on quality of life in patients with ovarian cancer for the domain of physical function was education with regression coefficient being -9 .786;Influence factor for the domain of psychological function was education with regression coefficient being 6 .559;the influencing factors for the specific module were marital status ,medical treatment ,and age with regression coefficients be‐ing -9 .174 ,-7 .142 and 0 .245 ,respectively .Conclusion The quality of life in patients with ovarian cancer was low and it was af‐fected by a lot of factors .
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Objective The aim of this study is to explore the reasons and the main affecting factors of the reported tuberculosis (TB) patients by internet-based reporting system who failed to the Center for Disease Control and Prevention (CDC) for diagnosing and treating in Yunnan Province, so as to provide scientific evidence for constituting reasonable countermeasures and measures to improve the rate of the reported TB patients coming to CDC for diagnosing and treating. Methods Randomly sampled 730 tuberculosis patients by cluster sampling, surveyed by the questionnaires and logistic regression was used for data analysis. Results The main influencing factors were migrant, having no referring form of doctors, having no advice of doctors to CDC,having no financial problem, unbelieving TB harm to health, unknowing free treating policy of TB,untrusting CDC,unbelieving free medicine, hospitalization and unknowing the CDC address,with odds ratios of 3.234,0.438,0.065,0.056,0.117,0.153,0.336, 6.587,9.685 and 1.991, respectively .Conclusion To improve the rate of coming to CDC for diagnosing and treating, should take some integrated measures as follows: strengthening TB health promotion, strengthening referring program, strengthening communication between doctors and patients, and strengthening propaganda on CDC.
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Objective To probe into the compensatory schemes of new-style rural cooperative medical care system(abbr.NCMS)of Longling county to guide the practice and serve as a referential mode for operating comprehensively NCMS in Yunnan.Methods Epidemiological Field Research method.Results The NCMS compensatory schemes of Longling county was "family account adding compensating the cost of hospitalization in subsectionmode".In 2004,Longling county adjusted the compensating measure of hospitalization on the basis of preserving the scheme of family account.There was statistical significant difference(P