The Proctor's reporting guideline for implementation strategies represents a landmark framework in the field of implementation science, aiming to address the issue of inconsistent reporting in implementation research by standardizing the naming, definition, and operationalization of implementation strategies, thereby enhancing the credibility and utility of research findings. This paper provides an in-depth interpretation of the core connotations of this reporting guideline and illustrates its application in developing interview outlines and specifying implementation strategies, using a brief smoking cessation intervention project as a case study. Through this reporting guideline, abstract recommendations for implementation are systematically transformed into clear, multidimensional operational guides, significantly improving the transparency of strategy connotations and the replicability of actual execution. Meanwhile, the case study highlights the flexibility of the guideline, which allows researchers to adapt the content and format of strategies based on local resources and cultural contexts, thus enhancing practical adaptability while maintaining scientific rigor. However, the application of Proctor's reporting guideline still faces challenges, primarily manifested in the potential confusion surrounding the constructs of temporality and dose in practice, as well as the challenges that the inherent flexibility of the guideline may pose to the assessment of fidelity and effectiveness. Despite these limitations, the reporting guideline remains a vital tool for implementation research; future efforts should focus on optimizing its application—through refining operational guidelines, standardizing flexible adaptations, and involving stakeholders—to better guide implementation studies and continuously promote high-quality development in the field.

Factorial design is an important method for optimizing complex strategies in implementation science. This paper systematically elucidates the origin, types, and core concepts of the factorial design, and then use a brief smoking cessation intervention project as an example to illustrate its specific applications in identifying key factors and testing interactions. Factorial design has the following typical advantages: it can test synergistic and antagonistic effects between factors, provide effect estimates that are broadly valid across the experimental conditions, and offer high statistical efficiency. At the same time, it also has certain limitations, including that its complexity is positively correlated with the number of factors, the need for large sample sizes to detect interactions, the potential for insufficient acceptability of some strategy combinations due to ethical concerns or participant burden, and the complexity of the analytical methods required. In future research, its application should be further optimized by appropriately controlling the number of factors, clearly defining research objectives, and evaluating intervention acceptability, in order to promote the development of precision implementation science.

Reporting guidelines are structured checklists for researchers to follow when reporting spe-cific types of studies.As researches conducted in real-world settings to address practical issues,implementa-tion research has stringent requirements for the replicability of result and the transparency of reporting,making its reporting guidelines particularly important.This paper systematically introduces the reporting guidelines in the field of implementation science,outlines their classification systems and scopes of applica-tion,and focuses on explaining the core characteristics and functions of five key reporting guidelines,inclu-ding the Standards for Reporting Implementation Studies(StaRI),Reporting guidelines for implementation and operational research,the Template for Intervention Description and Replication(TIDieR),the Frame-work for Reporting Adaptations and Modifications-Enhanced(FRAME),and recommendations for specifying and reporting implementation strategies.Furthermore,combined with the PEDALs research paradigm in im-plementation science,this paper further clarifies the specific application pathways for reporting guidelines and discusses directions for refinement,aiming to provide references for researchers to select appropriate reporting guidelines.

Reporting guidelines are structured checklists for researchers to follow when reporting spe-cific types of studies.As researches conducted in real-world settings to address practical issues,implementa-tion research has stringent requirements for the replicability of result and the transparency of reporting,making its reporting guidelines particularly important.This paper systematically introduces the reporting guidelines in the field of implementation science,outlines their classification systems and scopes of applica-tion,and focuses on explaining the core characteristics and functions of five key reporting guidelines,inclu-ding the Standards for Reporting Implementation Studies(StaRI),Reporting guidelines for implementation and operational research,the Template for Intervention Description and Replication(TIDieR),the Frame-work for Reporting Adaptations and Modifications-Enhanced(FRAME),and recommendations for specifying and reporting implementation strategies.Furthermore,combined with the PEDALs research paradigm in im-plementation science,this paper further clarifies the specific application pathways for reporting guidelines and discusses directions for refinement,aiming to provide references for researchers to select appropriate reporting guidelines.

Objective:To analyze the impact of diagnosis-intervention packet payment (DIP) reform on hospitalization service capacity and patients′ economic burden, for references for promoting China′s medical insurance payment reform.Methods:Data were collected from the discharge summarizes of 116 545 hospitalized patients from a tertiary hospital in Guangdong Province. Among them, there were 42 534 cases before the DIP reform (January 2016 to December 2017) and 74 011 cases after the reform (January 2018 to December 2020). The all-cause in-hospital mortality rate, length of hospital stay, disease severity, readmission rate within 30 days, total hospitalization costs, and patient out of pocket expenses were used as evaluation indicators for hospitalization service capacity and patient economic burden. Intermittent time series analysis was conducted to examine the changes in indicators before and after DIP reform.Results:The slope of the change trend of all-cause in-hospital mortality rate and readmission rate within 30 days before and after DIP reform was not statistically significant ( P<0.05); The length of hospital stay showed a decreasing trend before the reform ( P=0.047), but the trend after the reform was not statistically significant ( P=0.776); The change trend of disease severity before the reform was not statistically significant ( P=0.682), but showed a significant upward trend after the reform ( P=0.012); The total hospitalization costs significantly increased during the reform ( P<0.001), but the trend of change after the reform was not statistically significant ( P=0.431); The patient′s out of pocket expenses showed an upward trend before the reform ( P=0.001), but the change trend after the reform was not statistically significant ( P=0.757). Conclusions:DIP reform could help hospitals improve their inpatient service capabilities and enhance their functional positioning; Strengthen medical cost management and control the increase in economic burden on hospitalized patients.

Objective:To analyze the grassroots diseases category policy of DIP,explore the influencing mechanism on patient flow,and provide references for other DIP reform pilot regions.Methods:It conducts game theory analysis on the service supply behaviors of different medical institutions under the grassroots diseases category policy,and reveals the reasons affecting the role of grassroots diseases category.Results:Research has found that grassroots diseases can weaken the siphonage of tertiary institutions,but the prerequisite is to establish reasonable disease payment standards;there is a competitive relationship among secondary medical institutions,and secondary medical institutions will still exacerbate grassroots siphonage;the supervision and assessment mechanism for grassroots diseases is not sound,making it difficult to avoid the unreasonable medical service behavior of medical institutions under grassroots diseases.Conclusion:It is needed to further optimize the formulation of payment standards for grassroots diseases in medical insurance departments,consider adding grassroots diseases to primary medical institutions and resolving competitive conflicts between primary and secondary medical institutions,improve the supervision and assessment mechanism for grassroots diseases to prevent unreasonable medical service behavior.

Objective:To analyze the grassroots diseases category policy of DIP,explore the influencing mechanism on patient flow,and provide references for other DIP reform pilot regions.Methods:It conducts game theory analysis on the service supply behaviors of different medical institutions under the grassroots diseases category policy,and reveals the reasons affecting the role of grassroots diseases category.Results:Research has found that grassroots diseases can weaken the siphonage of tertiary institutions,but the prerequisite is to establish reasonable disease payment standards;there is a competitive relationship among secondary medical institutions,and secondary medical institutions will still exacerbate grassroots siphonage;the supervision and assessment mechanism for grassroots diseases is not sound,making it difficult to avoid the unreasonable medical service behavior of medical institutions under grassroots diseases.Conclusion:It is needed to further optimize the formulation of payment standards for grassroots diseases in medical insurance departments,consider adding grassroots diseases to primary medical institutions and resolving competitive conflicts between primary and secondary medical institutions,improve the supervision and assessment mechanism for grassroots diseases to prevent unreasonable medical service behavior.

Objective:To analyze the impact of diagnosis-intervention packet payment (DIP) reform on hospitalization service capacity and patients′ economic burden, for references for promoting China′s medical insurance payment reform.Methods:Data were collected from the discharge summarizes of 116 545 hospitalized patients from a tertiary hospital in Guangdong Province. Among them, there were 42 534 cases before the DIP reform (January 2016 to December 2017) and 74 011 cases after the reform (January 2018 to December 2020). The all-cause in-hospital mortality rate, length of hospital stay, disease severity, readmission rate within 30 days, total hospitalization costs, and patient out of pocket expenses were used as evaluation indicators for hospitalization service capacity and patient economic burden. Intermittent time series analysis was conducted to examine the changes in indicators before and after DIP reform.Results:The slope of the change trend of all-cause in-hospital mortality rate and readmission rate within 30 days before and after DIP reform was not statistically significant ( P<0.05); The length of hospital stay showed a decreasing trend before the reform ( P=0.047), but the trend after the reform was not statistically significant ( P=0.776); The change trend of disease severity before the reform was not statistically significant ( P=0.682), but showed a significant upward trend after the reform ( P=0.012); The total hospitalization costs significantly increased during the reform ( P<0.001), but the trend of change after the reform was not statistically significant ( P=0.431); The patient′s out of pocket expenses showed an upward trend before the reform ( P=0.001), but the change trend after the reform was not statistically significant ( P=0.757). Conclusions:DIP reform could help hospitals improve their inpatient service capabilities and enhance their functional positioning; Strengthen medical cost management and control the increase in economic burden on hospitalized patients.

Implementation science aims to close the gap between knowledge and practice by fostering the uptake and implementation of evidence-based practices. In Europe and America, implementation science is rapidly evolving and improving. In China, the field is still in its infancy. This paper focuses on the definition, origin, domestic and international development, research hotspots, challenges, and opportunities of implementation science. Although implementation science is still at an early stage in China, it has shown rapid development momentum. Chinese scholars, therefore, should leverage China's distinctive research environment to conduct high-quality and innovation implementation studies in order to excel in implementation science areas and lead globally.

Implementation science has evolved over more than 20 years and established a set of theories, models, and frameworks that can be used to guide the implementation process, identify implementation-influencing factors, and evaluate implementation effectiveness. Guided by theories, the implementation research paradigm has been developed to emphasize a problem-oriented approach that seeks to solve problems, identify barriers to implementing evidence-based practices, and selectively employ implementation strategies to facilitate their adoption, implementation, and maintenance. This paradigm also gives implementation research distinctive characteristics in terms of research design, including extensive use of theories, models, and frameworks, alignment with real-world and contextual settings, use of mixed research designs, use of rapid research methods, and optimization of interventions for the context in which they are to be implemented. As the second part of Past and Present of Implementation Science, this paper provides a brief introduction to the theories, paradigms, and characteristics of implementation science.