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 ; standards ; Health Services Research ; Public Health ; standards

No abstract available.
Delivery of Health Care* ; Health Services Research*

HEALTH SERVICES RESEARCH ; BIOMEDICAL RESEARCH ; INTERNSHIP AND RESIDENCY ; RESEARCH ; OPTHALMOLOGY ;

China ; Health Services Needs and Demand ; Humans ; Research

Child ; Child Health Services ; Humans ; Pediatrics ; Research

Administrative Personnel ; Health Personnel ; Health Policy ; Health Services Research ; Singapore

Introduction: Despite policy actions and strategic efforts for improving the reproductive and sexual health of adolescents by promoting the uptake of adolescent reproductive and sexual health (ARSH) services, the utilisation rate remains significantly low, especially in rural areas of India. This study aimed to assess the utilisation of these services by adolescents in rural West Bengal and its associated determinants. Methods: This mixed-method study was conducted from May to September 2021 in the Gosaba rural block of South 24 Parganas, West Bengal. Quantitative data were collected from 326 adolescents using a pre-tested structured questionnaire. Qualitative data were collected via four focus group discussions among 30 adolescents and key-informant interviews among six healthcare workers. Quantitative data were analysed using SPSS, while qualitative data were analysed thematically. Results: Ninety-six (29.4%) adolescents had utilised ARSH services at least once during adolescence. The factors associated with non-utilisation of ARSH services were younger age, female sex, increasing reproductive health stigma and decreasing parent–adolescent communication related to sexual health. Qualitative exploration revealed that unawareness regarding services, perceived lack of privacy and confidentiality at healthcare facilities and disruption of services post-emergence of the COVID-19 pandemic were some major barriers to ARSH service utilisation. Conclusion A multi-component strategy, including promotion of adolescent-friendly health clinics, community support interventions associated with motivation and counselling of parents regarding the importance of adolescent reproductive health, is needed to improve the utilisation of ARSH services. Necessary steps to correct the deficiencies at the facility level should also be prioritised.
Adolescent ; Reproductive Health Services ; Sexual Health ; Qualitative Research ; Rural Population

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 ; Health Services ; standards ; Health Services Research ; Public Health ; Reproducibility of Results ; Surveys and Questionnaires

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 ; Bays ; Data Mining ; Dataset ; Health Services Research* ; Health Services* ; Humans ; Logistic Models ; ROC Curve

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* ; Family Characteristics ; Health Services Research* ; Health Services* ; Humans ; Occupations ; Outpatients ; Surveys and Questionnaires* ; Sampling Studies