Evidence map›Paper›PMID 33892822›Full record

ArticleImplementation science communications2021

Optimizing Implementation in Cancer Control (OPTICC): protocol for an implementation science center.

Cara C Lewis, Peggy A Hannon, Predrag Klasnja, Laura-Mae Baldwin, Rene Hawkes, Janell Blackmer, Ashley Johnson, OPTICC Consortium, represented by Bryan J. Weiner

Open access · goldAbstract read
In one paragraph

Article in Implementation science communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Cara C LewisKaiser Permanente Washington Health Research Institute, 1730 Minor Avenue, Suite 1600, Seattle, WA, 98101, USA. cara.c.lewis@kp.org.ORCID http://orcid.org/0000-0001-8920-8075
Peggy A HannonDepartment of Health Services, University of Washington, Seattle, WA, USA.
Predrag KlasnjaKaiser Permanente Washington Health Research Institute, 1730 Minor Avenue, Suite 1600, Seattle, WA, 98101, USA.
Laura-Mae BaldwinDepartment of Family Medicine, University of Washington, Seattle, WA, USA.
Rene HawkesKaiser Permanente Washington Health Research Institute, 1730 Minor Avenue, Suite 1600, Seattle, WA, 98101, USA.
Janell BlackmerDepartment of Health Services, University of Washington, Seattle, WA, USA.
Ashley JohnsonDepartment of Family Medicine, University of Washington, Seattle, WA, USA.
OPTICC Consortium, represented by Bryan J. Weiner
University of Washington · USKaiser Permanente Washington Health Research Institute · US

Funding

Optimizing Implementation in Cancer Control: OPTICC - Research Program CoreP50CA244432 · NCI · UNIVERSITY OF WASHINGTON · PI WEINER, BRYAN J. · 2019 to 2023
$4.6M
Developing an intervention to improve follow-up of abnormal fecal immunochemical test results in a safety-net population using a mixed methods approachK08CA241296 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ISSAKA, RACHEL B. · 2019 to 2023
$1.1M
NCI NIH HHS K08 CA241296NCI NIH HHS P50 CA244432NCI NIH HHS P50CA244432
6 · The paper itself

Abstract

backgroundEvidence-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.

methodsThree 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: 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.

Indexed as

Agile scienceCancer controlCancer preventionCancer screeningDeterminantsImplementation scienceMechanismsOptimizationStrategies

Identifiers

PMID33892822
PMCPMC8062945
OpenAlexW3155941736

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.