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Construction and Validation of Outcome Indicators Set for Hybrid Type 1 Implementation Research: Based on the SMART Study
Medical Journal of Peking Union Medical College Hospital 2026, 17(3): 871-882
Published: 22 May 2026
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Objective

Using the hybrid type 1 implementation study "The Shared Medical Appointment for diabetes in China: an optimization trial(SMART)" as an example, this study introduces the methods of constructing and validating an outcome indicator set for hybrid type 1 studies.

Methods

Based on principles such as comprehensiveness and operability, we selected the RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework, the Implementation Outcomes Framework (IOF), and the PRECEDE-PROCEED model. After comparison and screening, an outcome evaluation indicator item pool was formed. Two rounds of expert consultation were conducted, and the content validity was evaluated using the item-level content validity index (I-CVI), coefficient of variation (CV), and adjusted Kappa value, combined with experts' qualitative opinions and on-site implementation to optimize the indicators.

Results

This study integrated the RE-AIM framework and three pre-evaluation dimensions from the IOF, forming an initial item pool for shared medical appointments (SMA) that included 8 dimensions (acceptability, appropriateness, feasibility, reach, effectiveness, adoption, implementation, and maintenance), 14 secondary indicators, and 24 tertiary indicators. The response rate of the two rounds of expert consultation was 100%, with an expert authority coefficient of 0.90. The I-CVI ranged from 0.75 to 1.00, the CV from 0 to 0.32, and the adjusted Kappa from 0.75 to 1.00, indicating good content validity and high expert consensus. After two rounds of consultation, one secondary indicator and three tertiary indicators were deleted, one new secondary indicator was added, and the dimension attribution of one indicator was adjusted. Following pilot implementation and stakeholder feedback, two tertiary indicators were added, four were deleted, and the measurement tool of one indicator was adjusted. The finalized implementation outcome indicator set for the SMART study comprises 8 dimensions, 14 secondary indicators, and 19 tertiary indicators.

Conclusions

The outcome indicator set constructed in this study demonstrates good validity and operability, and the construction and validation process can serve as a reference for other researchers. Different implementation outcome frameworks have different applicable scenarios; researchers should select appropriate frameworks or integrate them according to their own needs to comprehensively evaluate outcomes and enhance the systematization and comparability of research.

Issue
Localization and Content Validation of the Organizational Readiness of Implementing Evidence-based Practices Scale
Medical Journal of Peking Union Medical College Hospital 2025, 16(3): 765-776
Published: 27 May 2025
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Objective

This study aimed to localize the workplace readiness questionnaire (WRQ) and validate its applicability for assessing readiness for implementation of evidence-based practices (EBP) in primary care settings in China. The localization of the instrument will provide a practical instrument for assessing organizational readiness for change (ORC).

Methods

The WRQ was translateed into Chinese version using the modified Brislin translation model, and its cross-cultural validity, content validity, and generalizability were evaluated by the Delphi method, and the expert feedback was evaluated using the item-level content validity index (I-CVI), scale-level content validity index (S-CVI), and corrected Kappa value. The index weights were evaluated by the analytic hierarchical process (AHP). The target users of the scale were invited to quantitatively evaluate its item importance score (IIS), and the surface validity was evaluated by combining the qualitative feedback from their cognitive interviews.

Results

To clarify the purpose of the scale, we revised its name to the Organizational Readiness of Implementing Evidence-Based Practices (ORIEBP) Scale. The ORIEBP scale contained five dimensions, which were Change Context, Change Valence, Information Evaluation, Change Commitment, Change Efficiency, and 32 items. After two rounds of the Delphi method to refine the construction of three dimensions and expressions of 11 items, the I-CVI were from 0.73 to 1.00, the Kappa value were from 0.70 to 1.00, and the S-CVI was over 0.92. All evaluation matrices of the hierarchical analysis method met the requirement of consistency ratio (CR < 0.1), and the weights of five dimensions were 0.2083, 0.2022, 0.1907, 0.2193, and 0.1795, in sequence. Nine out of eleven experts identified that items were applicable to other readiness assessment scenarios. The IIS scores for the five dimensions and 32 items were ranged from 2.93 to 3.54, and 2.71 to 3.42, presenting good face validity. The cognitive interview results showed that professional expressions were complex to understand.

Conclusions

This study validated the ORIEBP scale and has good content validity and generalizability. The scale can be further improved by expanding its scope of use and validating its structure validity and reliability in different settings.

Issue
Organizational Readiness for Change and Factors Influencing the Implementation of Shared Medical Appointment for Diabetes in Primary Healthcare Institutions
Medical Journal of Peking Union Medical College Hospital 2025, 16(2): 479-491
Published: 19 March 2025
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Objective

The success of implementation research is closely tied to the institution's pre-implementation readiness. This study aims to explore the organizational readiness for change (ORC) and its influencing factors on primary healthcare settings in the implementation of the "Shared Medical Appointment for Diabetes (SMART) in China: design of an optimization trial" and to enhance ORC and provide insights to support the effective implementation of the program.

Methods

Qualitative interviews and quantitative surveys were conducted to evaluate the ORC level and its influencing factors in 12 institutions implementing the SMART program. The Scale for Assessing the Institution's Readiness to Implement Evidence-Based Practices was utilized to measure ORC levels. Qualitative interviews were conducted among change implementers to gather information regarding the status of influencing factors. Thematic analysis was applied to extract factors from the interview data, and an assessment questionnaire was developed to measure the perceived impact of these factors. A fuzzy-set qualitative comparative analysis (fsQCA) method was employed to identify the influencing factors of ORC and pathways leading to high-level ORC.

Results

Seventy implementers from 12 institutions, encompassing administrators, clinicians, and health managers, participated in the interviews and surveys. The median and interquartile of the ORC scores were 105.20 (101.23, 107.33). The fsQCA indicated that a clear understanding of specific tasks and responsibilities, the active engagement of key participants, sufficient preliminary preparation, and the use of audits and feedback mechanisms were critical pathways to a high-level ORC. Conversely, institutions lacking key participants, preliminary preparation, or marginal influence demonstrated a low-level ORC.

Conclusions

Before implementing innovation, Coherence and Cognitive Participation were identified as critical factors in influencing ORC. Strong leadership from key participants played pivotal role in enhancing readiness for change and was essential for improving implementation fidelity and overall program success.

Issue
Stakeholder Preference Assessment in Implementation Research
Medical Journal of Peking Union Medical College Hospital 2024, 15(6): 1447-1455
Published: 08 November 2024
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In the process of conducting implementation research on health service issues, stakeholders' preference for contents related to evidence-based practice (EBP) and implementation strategies is closely related to whether EBP can be effectively implemented.However, multiple preference assessment methods exist, each with their own strengths, weaknesses, and application scenarios, which makes it challenging for researchers to select appropriate and effective preference assessment methods. This paper aims to review the origins, characteristics, and application scenarios of commonly used preference assessment methods, with the hope of providing valuable reference and lessons for domestic scholars to select and apply appropriate preference assessment methods in implementation research.

Issue
Past and Present of Implementation Science (PartⅠ)—Origin and Development
Medical Journal of Peking Union Medical College Hospital 2024, 15(2): 442-449
Published: 06 March 2024
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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.

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