Optimizing Implementation in Cancer Control (OPTICC): protocol for an implementation science center.
Agile science
Cancer control
Cancer prevention
Cancer screening
Determinants
Implementation science
Mechanisms
Optimization
Strategies
Journal
Implementation science communications
ISSN: 2662-2211
Titre abrégé: Implement Sci Commun
Pays: England
ID NLM: 101764360
Informations de publication
Date de publication:
23 Apr 2021
23 Apr 2021
Historique:
received:
21
01
2021
accepted:
28
01
2021
entrez:
24
4
2021
pubmed:
25
4
2021
medline:
25
4
2021
Statut:
epublish
Résumé
Evidence-based interventions (EBIs) could reduce cervical cancer deaths by 90%, colorectal cancer deaths by 70%, and lung cancer deaths by 95% if widely and effectively implemented in the USA. Yet, EBI implementation, when it occurs, is often suboptimal. This manuscript outlines the protocol for Optimizing Implementation in Cancer Control (OPTICC), a new implementation science center funded as part of the National Cancer Institute Implementation Science Consortium. OPTICC is designed to address three aims. Aim 1 is to develop a research program that supports developing, testing, and refining of innovative, efficient methods for optimizing EBI implementation in cancer control. Aim 2 is to support a diverse implementation laboratory of clinical and community partners to conduct rapid, implementation studies anywhere along the cancer care continuum for a wide range of cancers. Aim 3 is to build implementation science capacity in cancer control by training new investigators, engaging established investigators in cancer-focused implementation science, and contributing to the Implementation Science Consortium in Cancer. Three cores serve as OPTICC's foundation. The Administrative Core plans coordinates and evaluates the Center's activities and leads its capacity-building efforts. The Implementation Laboratory Core (I-Lab) coordinates a network of diverse clinical and community sites, wherein studies are conducted to optimize EBI implementation, implement cancer control EBIs, and shape the Center's agenda. The Research Program Core conducts innovative implementation studies, measurement and methods studies, and pilot studies that advance the Center's theme. A three-stage approach to optimizing EBI implementation is taken-(I) identify and prioritize determinants, (II) match strategies, and (III) optimize strategies-that is informed by a transdisciplinary team of experts leveraging multiphase optimization strategies and criteria, user-centered design, and agile science. OPTICC will develop, test, and refine efficient and economical methods for optimizing EBI implementation by building implementation science capacity in cancer researchers through applications with our I-Lab partners. Once refined, OPTICC will disseminate its methods as toolkits accompanied by massive open online courses, and an interactive website, the latter of which seeks to simultaneously accumulate knowledge across OPTICC studies.
Sections du résumé
BACKGROUND
BACKGROUND
Evidence-based interventions (EBIs) could reduce cervical cancer deaths by 90%, colorectal cancer deaths by 70%, and lung cancer deaths by 95% if widely and effectively implemented in the USA. Yet, EBI implementation, when it occurs, is often suboptimal. This manuscript outlines the protocol for Optimizing Implementation in Cancer Control (OPTICC), a new implementation science center funded as part of the National Cancer Institute Implementation Science Consortium. OPTICC is designed to address three aims. Aim 1 is to develop a research program that supports developing, testing, and refining of innovative, efficient methods for optimizing EBI implementation in cancer control. Aim 2 is to support a diverse implementation laboratory of clinical and community partners to conduct rapid, implementation studies anywhere along the cancer care continuum for a wide range of cancers. Aim 3 is to build implementation science capacity in cancer control by training new investigators, engaging established investigators in cancer-focused implementation science, and contributing to the Implementation Science Consortium in Cancer.
METHODS
METHODS
Three cores serve as OPTICC's foundation. The Administrative Core plans coordinates and evaluates the Center's activities and leads its capacity-building efforts. The Implementation Laboratory Core (I-Lab) coordinates a network of diverse clinical and community sites, wherein studies are conducted to optimize EBI implementation, implement cancer control EBIs, and shape the Center's agenda. The Research Program Core conducts innovative implementation studies, measurement and methods studies, and pilot studies that advance the Center's theme. A three-stage approach to optimizing EBI implementation is taken-(I) identify and prioritize determinants, (II) match strategies, and (III) optimize strategies-that is informed by a transdisciplinary team of experts leveraging multiphase optimization strategies and criteria, user-centered design, and agile science.
DISCUSSION
CONCLUSIONS
OPTICC will develop, test, and refine efficient and economical methods for optimizing EBI implementation by building implementation science capacity in cancer researchers through applications with our I-Lab partners. Once refined, OPTICC will disseminate its methods as toolkits accompanied by massive open online courses, and an interactive website, the latter of which seeks to simultaneously accumulate knowledge across OPTICC studies.
Identifiants
pubmed: 33892822
doi: 10.1186/s43058-021-00117-w
pii: 10.1186/s43058-021-00117-w
pmc: PMC8062945
doi:
Types de publication
Journal Article
Langues
eng
Pagination
44Subventions
Organisme : NCI NIH HHS
ID : K08 CA241296
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA244432
Pays : United States
Organisme : NCI NIH HHS
ID : P50CA244432
Pays : United States
Investigateurs
Paula Blasi
(P)
Diana Buist
(D)
Allison Cole
(A)
Shannon Dorsey
(S)
Marlaine Figueroa Gray
(MF)
Nora B Henrikson
(NB)
Rachel Issaka
(R)
Salene Jones
(S)
Sarah Knerr
(S)
Aaron R Lyon
(AR)
Lorella Palazzo
(L)
Laura Panattoni
(L)
Michael D Pullmann
(MD)
Leah Tuzzio
(L)
Thuy Vu
(T)
John Weeks
(J)
Rachel Winer
(R)
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