Fiona Ho , Rachelle Swart , Liesbeth Boersma , Rianne Fijten , Paul Cremers , Frits van Merode , Maria Jacobs
{"title":"成功实施放射治疗创新之路:以研究为基础的实施方案。","authors":"Fiona Ho , Rachelle Swart , Liesbeth Boersma , Rianne Fijten , Paul Cremers , Frits van Merode , Maria Jacobs","doi":"10.1016/j.radonc.2025.110874","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and purpose</h3><div>Radiotherapy (RT) is rapidly advancing, yet only 50 % of innovations are implemented promptly. Despite the availability of Implementation Science (ImpSci) theories, models, and frameworks (TMFs), a theory–practice gap persists in effectively applying these insights in RT clinical practice. This study aims to develop a consensus-based implementation protocol for RT innovations using validated ImpSci knowledge.</div></div><div><h3>Material and methods</h3><div>A literature review of TMFs (May–August 2023) and 20 semi-structured interviews with Dutch RT professionals (August–December 2023) identified key RT components for implementation. These insights informed a draft RT implementation protocol, which was refined through a three-round international Delphi study (March–September 2024) involving 11 RT and 5 ImpSci experts. Consensus was determined using a 5-point Likert scale, analysing medians, interquartile ranges (IQRs), and percentage scoring.</div></div><div><h3>Results</h3><div>The Knowledge-to-Action (KTA) Framework and input from expert interviews were used to draft the protocol. Delphi response rates were 100 %, 93.8 %, and 88.9 % across rounds. In round 1, 88.9 % of elements achieved consensus (median = 4.0, IQR = 0.0–1.3); only the application of a prediction model for timely implementation (step 3c) needed revision after rounds 1 and 2. In round 3, also for step 3c consensus was reached (median = 4.0, IQR = 0.3). The protocol includes defining innovation types, stakeholder analysis, tailored implementation strategies, and a phased evaluation plan to ensure sustainability.</div></div><div><h3>Conclusion</h3><div>This is the first consensus-based RT innovation implementation protocol, addressing the theory–practice gap with a structured clinical approach. Future research should validate the protocol and assess the impact of preparation on implementation success.</div></div>","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":"207 ","pages":"Article 110874"},"PeriodicalIF":4.9000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The road to successful implementation of innovation in radiotherapy: A research-based implementation protocol\",\"authors\":\"Fiona Ho , Rachelle Swart , Liesbeth Boersma , Rianne Fijten , Paul Cremers , Frits van Merode , Maria Jacobs\",\"doi\":\"10.1016/j.radonc.2025.110874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background and purpose</h3><div>Radiotherapy (RT) is rapidly advancing, yet only 50 % of innovations are implemented promptly. Despite the availability of Implementation Science (ImpSci) theories, models, and frameworks (TMFs), a theory–practice gap persists in effectively applying these insights in RT clinical practice. This study aims to develop a consensus-based implementation protocol for RT innovations using validated ImpSci knowledge.</div></div><div><h3>Material and methods</h3><div>A literature review of TMFs (May–August 2023) and 20 semi-structured interviews with Dutch RT professionals (August–December 2023) identified key RT components for implementation. These insights informed a draft RT implementation protocol, which was refined through a three-round international Delphi study (March–September 2024) involving 11 RT and 5 ImpSci experts. Consensus was determined using a 5-point Likert scale, analysing medians, interquartile ranges (IQRs), and percentage scoring.</div></div><div><h3>Results</h3><div>The Knowledge-to-Action (KTA) Framework and input from expert interviews were used to draft the protocol. Delphi response rates were 100 %, 93.8 %, and 88.9 % across rounds. In round 1, 88.9 % of elements achieved consensus (median = 4.0, IQR = 0.0–1.3); only the application of a prediction model for timely implementation (step 3c) needed revision after rounds 1 and 2. In round 3, also for step 3c consensus was reached (median = 4.0, IQR = 0.3). The protocol includes defining innovation types, stakeholder analysis, tailored implementation strategies, and a phased evaluation plan to ensure sustainability.</div></div><div><h3>Conclusion</h3><div>This is the first consensus-based RT innovation implementation protocol, addressing the theory–practice gap with a structured clinical approach. Future research should validate the protocol and assess the impact of preparation on implementation success.</div></div>\",\"PeriodicalId\":21041,\"journal\":{\"name\":\"Radiotherapy and Oncology\",\"volume\":\"207 \",\"pages\":\"Article 110874\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiotherapy and Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167814025001690\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiotherapy and Oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167814025001690","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
The road to successful implementation of innovation in radiotherapy: A research-based implementation protocol
Background and purpose
Radiotherapy (RT) is rapidly advancing, yet only 50 % of innovations are implemented promptly. Despite the availability of Implementation Science (ImpSci) theories, models, and frameworks (TMFs), a theory–practice gap persists in effectively applying these insights in RT clinical practice. This study aims to develop a consensus-based implementation protocol for RT innovations using validated ImpSci knowledge.
Material and methods
A literature review of TMFs (May–August 2023) and 20 semi-structured interviews with Dutch RT professionals (August–December 2023) identified key RT components for implementation. These insights informed a draft RT implementation protocol, which was refined through a three-round international Delphi study (March–September 2024) involving 11 RT and 5 ImpSci experts. Consensus was determined using a 5-point Likert scale, analysing medians, interquartile ranges (IQRs), and percentage scoring.
Results
The Knowledge-to-Action (KTA) Framework and input from expert interviews were used to draft the protocol. Delphi response rates were 100 %, 93.8 %, and 88.9 % across rounds. In round 1, 88.9 % of elements achieved consensus (median = 4.0, IQR = 0.0–1.3); only the application of a prediction model for timely implementation (step 3c) needed revision after rounds 1 and 2. In round 3, also for step 3c consensus was reached (median = 4.0, IQR = 0.3). The protocol includes defining innovation types, stakeholder analysis, tailored implementation strategies, and a phased evaluation plan to ensure sustainability.
Conclusion
This is the first consensus-based RT innovation implementation protocol, addressing the theory–practice gap with a structured clinical approach. Future research should validate the protocol and assess the impact of preparation on implementation success.
期刊介绍:
Radiotherapy and Oncology publishes papers describing original research as well as review articles. It covers areas of interest relating to radiation oncology. This includes: clinical radiotherapy, combined modality treatment, translational studies, epidemiological outcomes, imaging, dosimetry, and radiation therapy planning, experimental work in radiobiology, chemobiology, hyperthermia and tumour biology, as well as data science in radiation oncology and physics aspects relevant to oncology.Papers on more general aspects of interest to the radiation oncologist including chemotherapy, surgery and immunology are also published.