1.Construction of evaluation index system for equalization of basic public health services.
Yong YU ; Lijian TAO ; Tubao YANG
Journal of Central South University(Medical Sciences) 2014;39(5):511-516
OBJECTIVE:
To develop a scientific and effective evaluation index system for equalization of basic public health services.
METHODS:
Through 2 rounds of expert evaluation, based on the relative importance of expert scoring on each index, index was screened according to the scores of mean and coefficient of variation and the weight were determined.
RESULTS:
The two rounds of consulting experts response rates were more than 90%, and the average authority coefficients were 0.779 and 0.781. The coordination coefficients were 0.229 and 0.349. The evaluation index system of basic public health services was composed of 3 first level, 17 second level and 47 third level indicators after 2 rounds of consultation.
CONCLUSION
The evaluation index system of basic public health services is reasonable, and it can be used to evaluate the equalization of basic public health services.
Health Services
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standards
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Health Services Research
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Public Health
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standards
2.Scale-up of using advanced data in health care research.
Health Policy and Management 2016;26(3):153-154
No abstract available.
Delivery of Health Care*
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Health Services Research*
7.Evaluation index system for equalization of basic public health services.
Yong YU ; Lijian TAO ; Tubao YANG
Journal of Central South University(Medical Sciences) 2015;40(4):421-427
OBJECTIVE:
To establish the evaluation index system for equalization of basic public health services and to test its value in practice.
METHODS:
We developed the index system through expert scored evaluation and then chose a city in Hunan for the research object. The sources of data and the methods of collection for each indicator were identified. The reliability and validity of index system was tested. The methods of AHP (analytic hierarchy process) and TOPSIS (technique for order preference by similarity to an ideal solution) were applied to comprehensively evaluate the public health services among nine counties in the city.
RESULTS:
The Cronbach's alpha coefficient, which described reliability test result on evaluation index system for equalization of basic public health services, was 0.750. The cumulative contribution rate reached 89.32% after validity test with extraction of 5 common factors through factor-analysis. The sorting results from AHP or TOPSIS method are very close except two districts.
CONCLUSION
Evaluation index system for equalization of basic public health services established in this study is in good validity and reliability, which can be objectively applied to analyze the current status of basic public health services.
China
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Health Services
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standards
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Health Services Research
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Public Health
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Reproducibility of Results
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Surveys and Questionnaires
8.Bayesian Network Approaches to Health Services Research.
Journal of Korean Society of Medical Informatics 2006;12(1):71-81
OBJECTIVE: To explore the feasibility of using the Bayesian network approach to study health outcomes and evaluate its predictive performance. METHODS: The Human immuno-deficiency virus Cost and Services Utilization Study (HCSUS) baseline dataset consisting of 2,864 human immuno-deficiency virus positive adults was used. The Hugin Researcher 6.2TM was used to develop the Bayesian network and Na?ve Bayes models. The SAS/STAT PROC LOGISTIC was used to develop the logistic regressions. RESULTS: The area under the receiver operating characteristic curve of the Bayesian network model was statistically higher than that of the Na?ve Bayes model, but no higher than that of the logistic regression model using the 8 variables from a previous study. In a second analysis using the 10 most influential predictors discovered by the Bayesian network approach, the Na?ve Bayes and the logistic regression performance improved. CONCLUSION: The BN approaches contributed to the discovery of additional influential predictors that lead to an increase of the models' predictive performance. When attempting to discover unknown relationships that might be missed by traditional analysis methods alone, the use of the Bayesian network as complementary methods may add value.
Adult
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Bays
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Data Mining
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Dataset
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Health Services Research*
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Health Services*
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Humans
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Logistic Models
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ROC Curve
9.A Comparative Study of Two Survey Methods for Health Services Research Modified Self-administered Questionnaire vs. Interview Survey.
Seung Hum YU ; Yong Ho LEE ; Woo Hyun CHO ; Chong Yon PARK
Korean Journal of Preventive Medicine 1988;21(2):431-441
The purpose of this study was to compare the difference of two survey methods for health services research. Data were collected by means of two types of household survey conducted from March 11 to September 19, 1985. A probability sample of 30,613 persons was taken from 180 Enumerated Districts designated by the Economic Planning Board. The sample was divided into two groups systematically. One group was surveyed by the self-administered questionnaire and the other group was interviewed. Response rates were 81.4% and 90.6% respectively. The data were analyzed by the ratio of the results of the self-administered survey to those of the interview survey. No difference was observed in sex, age, residence, or occupation between the two groups. However the respondents' characteristics were statistically different between the two groups. The major findings of this study are as follows : 1. The morbidity rate was 142.5 per 1,000 persons during the two week period by the self-administered questionnaire survey and 74.3 per 1,000 persons with the interview survey method. The ratio of the morbidity rate by the self-administered questionnaire to that by the interview was 1.92, and the difference between the two rates were due to the personal characteristics. 2. The out-patient utilization rate was 10.2 visits per person per year by the self-administered questionnaire survey and 5.4 by the interview survey, and the ratio was 1.89; the admission rate was 3.2 times per 100 persons per year by the self-administered questionnaire survey and 1.9 times by the interview survey, and the ratio was 1.68. Differences due to the sociodemographic characteristics were greater in the out-patient utilization rates than in the admission rates. 3. Percentages of effective medical care demand were 90.2% in the self-administered survey and 92.3% in the interview survey; the ratio was 0.98 which was less than that of the morbidity rate and medical care utilization. But, differences of effective medical care demand occurred in persons with no occupation, and aged or low educated respondents. 4. Respiratory illness had the highest frequency in the two survey methods. But there was a slight difference between the two survey methods in morbidity composition. 5. It was concluded that data collected by the interview survey were inclined to be underestimated and this problem can be corrected by a modified self-administered survey.
Surveys and Questionnaires*
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Family Characteristics
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Health Services Research*
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Health Services*
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Humans
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Occupations
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Outpatients
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Surveys and Questionnaires*
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Sampling Studies
10.Measuring Patient Safety Culture in Korean Nursing Homes.
Sook Hee YOON ; Byungsoo KIM ; So Yonug SHIN ; Xianglian WU
Journal of Korean Academy of Nursing Administration 2013;19(2):315-327
PURPOSE: The purpose of this study was to investigate the patient safety culture in Korean nursing homes using the Nursing Home Survey Patient Safety Culture (NHS-PC), a valid tool, provided by the Agency for Healthcare Research and Quality (AHRQ) and to compare the results with AHRQ data. METHODS: Administrators and staff (N=151) of six nursing homes in Seoul, Busan, Kyeonggi Province and Gyeongsangnam Province completed the survey in July, 2010. The data were analyzed using descriptive statistics, positive response rate, t-test, ANOVA, DUNCAN, Cronbach's alpha. RESULTS: The total mean (SD) positive response rate for patient safety culture was not significantly different from the AHRQ data. For composite levels, the results of 'handoffs' were significantly higher, and the results of 'feedback and communication about incidents' and 'nonpunitive responses to mistakes' were significantly lower than the AHRQ data. CONCLUSION: More effective strategies related to nonpunitive responses to mistakes and management activities for patient safety are needed to improve patient safety culture in nursing homes.
Administrative Personnel
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Health Services Research
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Humans
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Nursing Homes
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Patient Safety