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1.
Front Public Health ; 12: 1325298, 2024.
Article in English | MEDLINE | ID: mdl-38344238

ABSTRACT

Objective: The government has recently implemented reforms aimed at delegating power, streamlining administration, and optimizing government services. This reform has eliminated barriers that impede the growth of various industries, thereby unleashing innovative potential. Additionally, there have been several medical policies, including changes to medical insurance and centralized volume-based procurement. China's pharmaceutical market has undergone significant changes, leading to increased demands for innovation technology efficiency in pharmaceutical manufacturing. Methods: The three-stage BCC theory was employed to assess the effectiveness of technology innovation in the industry under this reform. Calculate precise comprehensive technical efficiency values, pure technical efficiency values, and scale efficiency values for technological innovation in the pharmaceutical industry across 30 provinces from 2018 to 2020, after removing environmental factors. Results: In 2020, Jiangsu and Shandong and nine other provinces reached the comprehensive technical efficiency frontier surface, joining Tianjin, Zhejiang, and Guangdong provinces. However, Gansu, Qinghai, Ningxia, and Xinjiang still need to catch up due to their smaller industrial scale and lack of technology. Discussion: To ensure the effectiveness of reforms, it is crucial to fully consider provincial differences. Articulating national and provincial policies is necessary to allow efficient provinces to continue and allocate resources toward less efficient provinces to improve overall efficiency.


Subject(s)
Inventions , Manufacturing Industry , Pharmaceutical Preparations , Drug Industry , Technology , Government , China
2.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-996088

ABSTRACT

Objective:To establish a calculation model for the operational efficiency and resource allocation of clinical departments in hospitals, for references for hospitals to optimize resource allocation.Methods:The informations including hospitalization time, nursing grade, etc. of inpatients admitted by 32 clinical departments in a tertiary public hospital from January to December in 2021 were extracted. A data envelopment analysis method was conducted on the operation efficiency and input edundancy of the departments. The K-means algorithm was used to divide inpatients into 3 categories according to the level of medical workload. Taking the numbers of doctors, nurses and beds as the input indicators, and the numbers of patients in the 3 categories as the output indicators, a BCC model 1 was established to evaluate the efficiency of resources invested by clinical departments into professional human value. At the same time, a BCC model 2 was established with the total number of patients admitted and medical income as the output indicators to evaluate the efficiency of resources invested by clinical departments into economic benefits.Results:A total of 38 147 inpatients were enrolled. There were 14 departments with overall technical efficiency (OTE) =1.000 in the BCC model 1, 10 departments with OTE=1.000 in the BCC model 2, and 8 departments with OTE=1.000 in the 2 models. As for the input redundancy, 6 departments had high input redundancy in the BCC model 1, 11 departments had high input redundancy in the BCC model 2, and 4 departments had high input redundancy in both models.Conclusions:The model established by this study could effectively evaluate the operational efficiency and input redundancy of clinical departments, identify departments with high workload and low economic benefits, and provide reference for the rational allocation of medical resources in hospitals.

3.
Environ Sci Pollut Res Int ; 26(36): 37152-37161, 2019 Dec.
Article in English | MEDLINE | ID: mdl-31748997

ABSTRACT

Research regarding the regional environmental regulation efficiency (ERE) and influencing factors can provide theoretical guidance for regions to improve their ERE effectively. By employing a two-step approach, the data envelopment analysis (DEA) CCR-BCC model is built with the inclusion of scale changes, and a Tobit model is developed to explore the influencing factors for the regional ERE, followed by an application to analyze the spatiotemporal variations of ERE in Jiangsu province from 2005 to 2015. It is found that in time dimension, the ERE lies generally in a weak effective interval of [0.5, 1) and displays a shock upward trend. In the spatial dimension, the ERE presents an obvious "bilateral effect", namely, the efficiency is high for both the southern and northern of Jiangsu province but lower for the middle area. Besides, GDP per capital, industrial structure, trade openness, and population growth are among the main influencing factors of ERE. The findings revealed that temporary short-term policies have noticeable impact on the regional ERE, and "matching effect" between the ERE and regional economic development does not present.


Subject(s)
Economic Development , Environmental Policy , China , Efficiency , Industry , Population Growth
4.
Afr Health Sci ; 19(3): 2302-2311, 2019 Sep.
Article in English | MEDLINE | ID: mdl-32127799

ABSTRACT

BACKGROUND: HIV and AIDS remains a pandemic that has greatly affected many regions and countries in the world. Africa is the hardest hit region by tthis disease while southern Africa appears to be the melting pot for HIV and AIDS. The HIV and AIDS pandemic remains the greatest sustainable human development and public health challenge for Swaziland. Swaziland is the world's worst affected country with the youth the most vulnerable group to HIV and AIDS due to many factors. OBJECTIVES'METHODS: This study investigated the behavioral factors that contributed to the transmission of HIV and AIDS among female youth of Mbabane in Swaziland and to suggest measures that could encourage positive female youth behavior change in order to mitigate the spread and impacts of the pandemic. The study used a qualitative research approach in order to gain an in-depth experience of female youths in Mabane. Data were collected using a questionnaire, which were distributed to 210 randomly sampled females aged 16 to 24 years in Mbabane and who attended Mbabane Public Health Unit. The Behavior Change Communication (BCC) theoretical framework was used in order to contextualize the study. RESULTS: Most respondents were female-single youth (64%), almost half (45%) had a high school education and most were unemployed (57%) with little or no source of income. The majority (88%) were sexually active and the main sources of HIV/AIDS transmission was through sex. For many (52%) health facilities were their main source of HIV and AIDS information. The majority (97%) were knowledgeable about HIV and AIDS, but casual sex, inconsistent condom usage and early sexual debut among others were still prevalent indicating resistance to behavior change. CONCLUSION: The findings indicated that though the majority of the respondents had knowledge of HIV and AIDS, positive behavior change remained a challenge. Most respondents (88%) had one sexual partner with 38% reporting condom use during their last sexual encounter. HIV/AIDS awareness was widespread. However, there were still characteristics of resistance to behavior change, because there was evidence of underestimation of HIV risk through engagement in behavior, which contributed to HIV infection and spread. Behavioral change measures using the BCC model is proposed.


Subject(s)
HIV Infections/transmission , Sexual Behavior , Adolescent , Africa, Southern , Female , Humans , Risk-Taking , Safe Sex/statistics & numerical data , Surveys and Questionnaires , Young Adult
5.
Iran J Public Health ; 42(2): 149-57, 2013.
Article in English | MEDLINE | ID: mdl-23515434

ABSTRACT

BACKGROUND: Human Development Index (HDI) is a composite indicator that can show the impact of economic strategies on human life standards. The index is calculated by three main factors of income, education and health. This research studies the status of HDI across the Iranian provinces, its changes over time and the efficiency of provinces in using resources. METHODS: The data for 2001 and 2009 was obtained from the Iranian Center of Statistics. Data envelopment analysis technique was used to analyze the data. To calculate the efficiency, Banker, Charnes and Cooper's model was used. RESULTS: The national mean for the HDI in 2001 was 0.717 while it grew to 0.747 in 2009. Except for one province, all others had an improved human development index. Low ranked provinces such as Sistan & Baluchistan and Kurdistan stayed at the bottom in 2009 as well. Some provinces such as Bushehr with developing oil industries, or those purposively benefited from national oil income showed good growth. In some provinces, such as Hormozgan, out-migration of manpower to its neighboring province, Bushehr, was associated with decrease of the provincial income level. The number of efficient provinces increased from 5 to 13 in 2009. CONCLUSION: Iran falls among countries with high human development index based on the 2009 data. However, the distribution of HDI status across provinces was highly varied and the difference between high- and low-developed provinces increased in 2009. The government needs to revise policies concerning distribution of resources among the provinces.

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