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find Author "SHI Luwen" 4 results
  • Implementation effects of the full coverage policy for medicines: a systematic review

    ObjectivesTo systematically review the implementation effects of the full coverage policy for medicines, and to provide evidence for the improvement of National Essential Medicine Policy in China.MethodsWe searched databases including ProQuest, PubMed, CNKI and WanFang Data databases from inception to June 30th 2018 to collect the studies on full coverage policy for medicines. Two reviewers screened literature and extracted related information independently. Then, qualitative analyses were applied to evaluate the impact of the full coverage policy for medicines.ResultsA total of 35 studies on the full coverage policy for medicines were included. Ten studies evaluated the effects of disease control, 12 studies evaluated the impact of the compliance of the patients, 9 studies evaluated the impact on medical expenses and drug costs, 2 studies evaluated the effects of equality, 7 studies evaluated economics, and 11 studies described the improper use and waste of medicines.ConclusionsIn the content of perfecting the selection mechanism and management system, the implementation of the full coverage policy for essential medicines is conducive to promoting equality and accessibility, enhancing drug compliance, improving the diagnosis and treatment of patient diseases ultimately, and making the policy more economical.

    Release date:2019-04-19 09:26 Export PDF Favorites Scan
  • Use of patient-sharing techniques to study healthcare provider networks: a scoping review

    ObjectiveTo provide a scoping review of the healthcare provider patient-sharing network. MethodsPubMed, EMbase, Scopus, ProQuest, Web of Science Core Collection, ScienceDirect, SAGE, Wiley Online Library, Google Scholar, CNKI and WanFang Data databases were electronically searched to collect studies on patient-sharing network of healthcare providers from inception to July 31, 2021. Two reviewers independently screened literature, extracted data and then Arksey and O 'Malley's scoping review method was used to analyze the study. ResultsA total of 110 studies were included. In which, 70.0% were published in 2016 and later, 78.2% were carried out in the United States, 96.4% used secondary data, and 45.5% adopted social network analysis methods such as exponential random graph model. In terms of network characteristics, 43.6% of the studies adopted the theoretical framework of social network theory, and the network node type was mainly 1-mode, accounting for 87.3%. When constructing the physician patient-sharing networks, 64.5% of the studies had a threshold of 1 patient. We also synthesized existing studies on patient-sharing networks of healthcare providers in the light of factors of networks and related outcomes. ConclusionThe studies of healthcare provider patient-sharing network have potentials to improve clinical practice and health policies. Further studies should consider adopting longitudinal design to validate evidence of study, expanding the scope of study subjects except physicians and enriching the evidence of the relationship between network and health-related outcomes.

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  • The pharmacoeconomic analyses of the Chinese national drug negotiations: a systematic review

    ObjectiveTo systematically review the pharmacoeconomic studies of negotiated drugs in the Chinese National Reimbursement Drug List (NRDL). MethodsPubMed, EMbase, The Cochrane Library, CNKI and WanFang Data databases were electronically searched to collect the pharmacoeconomic studies of negotiated drugs in the Chinese NRDL from January 1, 2012 to January 1, 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, then, the qualitative systematic review was performed. ResultsA total of 59 (33.9%) drugs were evaluated in 124 pharmacoeconomic studies. Only 23 (13.2%) drugs were evaluated in 29 (23.3%) pharmacoeconomic studies prior to the negotiation. Besides, 75 (60.5%) of the negotiated drugs were supported by evidence of economic superiority than the comparison. ConclusionThe pharmacoeconomic studies on drugs which listed in the NRDL is insufficient. Future pharmacoeconomic studies should perform to provide more substantial support for the national drug negotiations.

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  • Policies for use of real-world data in drug reimbursement decision

    ObjectiveTo analyze the limitations and challenges for the use of real-world data in the decision making of drug reimbursement through literature review and provide standard process and guideline for the real-world study supporting drug reimbursement. MethodsBy summarizing the relevant policies, regulations, and guiding principles of major drug regulatory agencies worldwide, the study analyzed the applicable conditions, framework, and reimbursement mode for using real-world evidence in the decision making of drug reimbursement. ResultsThe study found that the health technology assessment departments of major developed countries and Asian countries have used real -world evidence to evaluate the drug efficacy and safety. The application scope of real-world data for reimbursement decision included describing the treatment process of the disease, assessing economic burden, verifying economic models, and evaluating the efficacy and safety of drugs. Some developed countries including the United Kingdom and the United States had released guidelines or frameworks of the real-world study for reimbursement decision. The process and framework of using real-world data in reimbursement decision could be divided into three models: coverage with evidence development, outcome-based contract, and re-assessment. ConclusionReal-world data has been widely used in the process of health technology assessment. To adapt to the development of the pharmaceutical industry and to meet the needs of clinical patients, it is urgent to standardize the process of collecting real-world data and formulate the scope and process of using real-world data in the reimbursement process.

    Release date:2024-05-13 09:35 Export PDF Favorites Scan
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