Connecting Implementation Science, Community-Engaged Research, and Health Promotion to Address Cancer Inequities in Massachusetts: The UMB/DF-HCC U54 Outreach Core

The Outreach Core of the U54 Partnership between the Dana-Farber/Harvard Cancer Center and the University of Massachusetts Boston created a new model for addressing cancer inequities that integrates implementation science, community-engaged research, and health promotion. Key elements of the approach include engaging a Community Advisory Board, supporting students from underrepresented minority backgrounds to conduct health promotion and community-engaged research, increasing the delivery of evidence-based cancer prevention programs to underserved communities (directly and by training local organizations), supporting research-practice partnerships, and disseminating findings. Our model highlights the need for long-term investments to connect underserved communities with evidence-based cancer prevention.

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Participatory implementation science to increase the impact of evidence-based cancer prevention and control

Cancer Causes & Control ◽

10.1007/s10552-018-1008-1 ◽

2018 ◽

Vol 29 (3) ◽

pp. 363-369 ◽

Cited By ~ 18

Author(s):

Shoba Ramanadhan ◽

Melinda M. Davis ◽

Rebecca Armstrong ◽

Barbara Baquero ◽

Linda K. Ko ◽

...

Keyword(s):

Cancer Prevention ◽

Implementation Science ◽

Prevention And Control ◽

Evidence Based ◽

Cancer Prevention And Control ◽

And Control ◽

The Impact

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Crisis knowledge management: Reconfiguring the behavioural science community for rapid responding in the Covid-19 crisis

10.31234/osf.io/hsxdk ◽

2020 ◽

Cited By ~ 3

Author(s):

Ulrike Hahn ◽

David Lagnado ◽

Stephan Lewandowsky ◽

Nick Chater

Keyword(s):

Knowledge Management ◽

Evidence Based ◽

Behavioural Science ◽

High Stakes ◽

Evidence Based Policy ◽

Science Community ◽

Minimal Damage ◽

Support Evidence

The present crisis demands an all-out response if it is to be mastered with minimal damage. This means we, as the behavioural science community, need to think about how we can adapt to best support evidence-based policy in a rapidly changing, high-stakes environment. This piece is an attempt to initiate this process. The ‘recommendations’ made are first stabs that will hopefully be critiqued, debated and improved.

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Best Practices for Data Visualization: Creating and Evaluating a Report for an Evidence-Based Fall Prevention Program (Preprint)

10.2196/preprints.12801 ◽

2018 ◽

Author(s):

Srijesa Khasnabish ◽

Zoe Burns ◽

Madeline Couch ◽

Mary Mullin ◽

Randall Newmark ◽

...

Keyword(s):

Literature Review ◽

Best Practices ◽

Implementation Science ◽

Data Visualization ◽

Systematic Literature Review ◽

Fall Prevention ◽

Prevention Program ◽

Evidence Based ◽

Data Display ◽

Fall Prevention Program

BACKGROUND Data visualization experts have identified core principles to follow when creating visual displays of data that facilitate comprehension. Such principles can be applied to creating effective reports for clinicians that display compliance with quality improvement protocols. A basic tenet of implementation science is continuous monitoring and feedback. Applying best practices for data visualization to reports for clinicians can catalyze implementation and sustainment of new protocols. OBJECTIVE To apply best practices for data visualization to create reports that clinicians find clear and useful. METHODS First, we conducted a systematic literature review to identify best practices for data visualization. We applied these findings and feedback collected via a questionnaire to improve the Fall TIPS Monthly Report (FTMR), which shows compliance with an evidence-based fall prevention program, Fall TIPS (Tailoring Interventions for Patient Safety). This questionnaire was based on the requirements for effective data display suggested by expert Stephen Few. We then evaluated usability of the FTMR using a 15-item Health Information Technology Usability Evaluation Scale (Health-ITUES). Items were rated on a 5-point Likert scale from strongly disagree (1) to strongly agree (5). RESULTS The results of the systematic literature review emphasized that the ideal data display maximizes the information communicated while minimizing the cognitive efforts involved with data interpretation. Factors to consider include selecting the correct type of display (e.g. line vs bar graph) and creating simplistic reports. The qualitative and quantitative evaluations of the original and final FTMR revealed improved perceptions of the visual display of the reports and their usability. Themes that emerged from the staff interviews emphasized the value of simplified reports, meaningful data, and usefulness to clinicians. The mean (SD) rating on the Health-ITUES scale when evaluating the original FTMR was 3.86 (0.19) and increased to 4.29 (0.11) when evaluating the revised FTMR (Mann Whitney U Test, z=-12.25, P<0.001). CONCLUSIONS Best practices identified through a systematic review can be applied to create effective reports for clinician use. The lessons learned from evaluating FTMR perceptions and measuring usability can be applied to creating effective reports for clinician use in the context of other implementation science projects.

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Implementation Strategies

10.1093/oso/9780190683214.003.0015 ◽

2017 ◽

Cited By ~ 5

Author(s):

JoAnn E. Kirchner ◽

Thomas J. Waltz ◽

Byron J. Powell ◽

Jeffrey L. Smith ◽

Enola K. Proctor

Keyword(s):

Implementation Science ◽

Comparative Effectiveness ◽

Implementation Strategies ◽

Evidence Based ◽

Efficient Manner

As the field of implementation science moves beyond studying barriers to and facilitators of implementation to the comparative effectiveness of different strategies, it is essential that we create a common taxonomy to define the strategies that we study. Similarly, we must clearly document the implementation strategies that are applied, the factors that influence their selection, and any adaptation of the strategy during the course of implementation and sustainment of the innovation being implemented. By incorporating this type of rigor into our work we will be able to not only advance the science of implementation but also our ability to place evidence-based innovations into the hands of practitioners in a timely and efficient manner.

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Essential Dental Public Health

10.1093/oso/9780199679379.001.0001 ◽

2013 ◽

Cited By ~ 7

Author(s):

Blánaid Daly ◽

Paul Batchelor ◽

Elizabeth Treasure ◽

Richard Watt

Keyword(s):

Public Health ◽

Health Promotion ◽

Vital Role ◽

Evidence Based ◽

Dental Public Health ◽

Oral Health Promotion ◽

Dental Practitioners ◽

The World ◽

The Subject ◽

Based Medicine

Public health is a key concern of modern dental practitioners as they continue to play a vital role in the health of populations across the world. The second edition of Essential Dental Public Health identifies the links between clinical practice and public health with a strong emphasis on evidence-based medicine. Fully revised and updated for a second edition, this textbook is split into four parts covering all the need-to-know aspects of the subject: the principles of dental public health, oral epidemiology, prevention and oral health promotion, and the governance and organization of health services. Essential Dental Public Health is an ideal introduction to the field for dentistry undergraduates, as well as being a helpful reference for postgraduates and practitioners.

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Implementation Science: Application of Evidence‐Based Practice Models to Improve Healthcare Quality

Worldviews on Evidence-Based Nursing ◽

10.1111/wvn.12495 ◽

2021 ◽

Vol 18 (2) ◽

pp. 76-84

Author(s):

Sharon Tucker ◽

Molly McNett ◽

Bernadette Mazurek Melnyk ◽

Kirsten Hanrahan ◽

Sarah C. Hunter ◽

...

Keyword(s):

Implementation Science ◽

Evidence Based Practice ◽

Healthcare Quality ◽

Evidence Based ◽

Practice Models ◽

Science Application

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Understanding a Diverse Cancer Center Catchment Area: A Qualitative Needs Assessment Built on a Theoretical Framework

Cancer Control ◽

10.1177/1073274820983026 ◽

2020 ◽

Vol 27 (1) ◽

pp. 107327482098302

Author(s):

Clara Reyes ◽

Beti Thompson ◽

Katherine J. Briant ◽

Jason Mendoza

Keyword(s):

Cancer Prevention ◽

Catchment Area ◽

Prevention And Control ◽

Qualitative Data ◽

Geographic Distance ◽

Geographic Region ◽

Cancer Center ◽

Cancer Prevention And Control ◽

Incidence And Mortality ◽

And Control

INTRODUCTION: Quantitative approaches to the cancer incidence and mortality of a geographic region may lack understanding of the human context in the region thereby affecting how relevant cancer prevention and control activities can best be targeted to a cancer center’s catchment area. OBJECTIVES: The objective of this study was to obtain and analyze qualitative data that described the barriers and facilitators in a cancer center’s catchment area. A further objective was to use the assessment to plan a comprehensive approach to cancer prevention and control activities in the region. METHODS: Extensive qualitative data were gathered from 32 key informants in the 13 county catchment area. We used the Warnecke Model for Analysis of Population Health and Health Disparities to analyze the qualitative data. We coded factors affecting cancer prevention and control using a directed content analysis approach guided by the Warnecke Model. RESULTS: Four outcome types included fundamental barriers such as political environment and discrimination, gaps in resources, and lack of coordinated activities. Social and physical barriers included distrust, diverse language and cultures, and geographic distance. Individual barriers included lack of system negotiation, health literacy, and poverty. Biological barriers were disparate disease rates in specific groups. CONCLUSION: The analysis and assessment led to the creation of a catchment area wide coalition that used the results to formulate a comprehensive strategic plan to address the barriers in the region.

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Implementation Science: How to Jump-Start Infection Prevention

Infection Control and Hospital Epidemiology ◽

10.1086/655991 ◽

2010 ◽

Vol 31 (S1) ◽

pp. S14-S17 ◽

Cited By ~ 31

Author(s):

Sanjay Saint ◽

Joel D. Howell ◽

Sarah L. Krein

Keyword(s):

Patient Safety ◽

Implementation Science ◽

Infection Prevention ◽

Theory And Practice ◽

Evidence Based ◽

Clinical Model ◽

Healthcare Epidemiology

Implementing evidence-based infection prevention practices is challenging. Implementation science, which is the study of methods promoting the uptake of evidence into practice, addresses the gap between theory and practice. Just as healthcare epidemiology has emerged as a paradigm for patient safety, infection prevention may serve as a clinical model for implementation researchers.

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Study protocol for a randomised controlled feasibility trial of a virtual intervention (STRIDE) for symptom management, distress and adherence to adjuvant endocrine therapy after breast cancer

BMJ Open ◽

10.1136/bmjopen-2020-041626 ◽

2021 ◽

Vol 11 (1) ◽

pp. e041626

Author(s):

Jamie M Jacobs ◽

Chelsea S Rapoport ◽

Arielle Horenstein ◽

Madison Clay ◽

Emily A Walsh ◽

...

Keyword(s):

Breast Cancer ◽

Endocrine Therapy ◽

Symptom Management ◽

Adjuvant Endocrine Therapy ◽

Feasibility Trial ◽

Cancer Center ◽

Control Group ◽

Evidence Based ◽

Pill Bottle ◽

Randomised Controlled

IntroductionPatient adherence to adjuvant endocrine therapy (AET) after a diagnosis of hormone-sensitive breast cancer is poor. Previous interventions have failed to produce changes in adherence, address patient preferences or include theoretically informed and evidence-based components. Therefore, we iteratively developed a patient-centred, evidence-based, small-group, videoconference intervention to improve adherence and symptom management as well as reduce distress for patients taking AET after breast cancer (Symptom-Targeted Randomised Intervention for Distress and Adherence to Adjuvant Endocrine Therapy, STRIDE).Methods and analysisThe current study is a non-blinded, randomised, controlled, feasibility trial of STRIDE compared with a medication monitoring control group. The primary objective is to examine the feasibility and acceptability of STRIDE, while secondary objectives are to assess changes in objective and subjective adherence, symptom distress and satisfaction with AET. Patients will be recruited from the Massachusetts General Hospital Cancer Center in Boston, Massachusetts. The total number of patients accrued will be 75, with ≥60 patients completing the study. All patients will store their AET in an electronic pill bottle for objective adherence monitoring. Patients randomly assigned to the STRIDE intervention will receive 6 weekly 1-hour sessions, in small groups of two, delivered via videoconferencing by a trained mental health professional. Patients assigned to the control group will store their medication in the electronic pill bottle and receive follow-up oncology care as usual. All participants will complete self-report psychosocial measures at baseline, 12 weeks and 24 weeks postbaseline.Ethics and disseminationThe study is funded by the National Cancer Institute of the National Institutes of Health and is approved by the Dana-Farber/Harvard Cancer Center Institutional Review Board (Protocol #18–603, V.1.2, first approval date 1 February 2019). The study will be reported in accordance with the Consolidated Standards of Reporting Trials statement for non-pharmacological trials. Results will be published in peer-reviewed academic journals, presented at scientific meetings and disseminated to patient organisations and media outlets.Trial registration numberNCT03837496; Pre-results.

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