Addressing cancer survivors’ cardiovascular health using the automated heart health assessment (AH-HA) EHR tool: Initial protocol and modifications to address COVID-19 challenges

Background: The purpose of this paper is to describe the Automated Heart-Health Assessment (AH-HA) study protocol, which demonstrates an agile approach to cancer care delivery research. This study aims to assess the effect of a clinical decision support tool for cancer survivors on cardiovascular he...

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Main Authors: Randi E. Foraker, Eleanor C. Davidson, Emily V. Dressler, Brian J. Wells, Simon Craddock Lee, Heidi D. Klepin, Karen M. Winkfield, W. Gregory Hundley, Philip R.O. Payne, Albert M. Lai, Glenn J. Lesser, Kathryn E. Weaver
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Contemporary Clinical Trials Communications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2451865421001095
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author Randi E. Foraker
Eleanor C. Davidson
Emily V. Dressler
Brian J. Wells
Simon Craddock Lee
Heidi D. Klepin
Karen M. Winkfield
W. Gregory Hundley
Philip R.O. Payne
Albert M. Lai
Glenn J. Lesser
Kathryn E. Weaver
spellingShingle Randi E. Foraker
Eleanor C. Davidson
Emily V. Dressler
Brian J. Wells
Simon Craddock Lee
Heidi D. Klepin
Karen M. Winkfield
W. Gregory Hundley
Philip R.O. Payne
Albert M. Lai
Glenn J. Lesser
Kathryn E. Weaver
Addressing cancer survivors’ cardiovascular health using the automated heart health assessment (AH-HA) EHR tool: Initial protocol and modifications to address COVID-19 challenges
Contemporary Clinical Trials Communications
Electronic health records
Clinical decision support
Usability testing
Cardiovascular diseases
Cancer survivors
Breast cancer
author_facet Randi E. Foraker
Eleanor C. Davidson
Emily V. Dressler
Brian J. Wells
Simon Craddock Lee
Heidi D. Klepin
Karen M. Winkfield
W. Gregory Hundley
Philip R.O. Payne
Albert M. Lai
Glenn J. Lesser
Kathryn E. Weaver
author_sort Randi E. Foraker
title Addressing cancer survivors’ cardiovascular health using the automated heart health assessment (AH-HA) EHR tool: Initial protocol and modifications to address COVID-19 challenges
title_short Addressing cancer survivors’ cardiovascular health using the automated heart health assessment (AH-HA) EHR tool: Initial protocol and modifications to address COVID-19 challenges
title_full Addressing cancer survivors’ cardiovascular health using the automated heart health assessment (AH-HA) EHR tool: Initial protocol and modifications to address COVID-19 challenges
title_fullStr Addressing cancer survivors’ cardiovascular health using the automated heart health assessment (AH-HA) EHR tool: Initial protocol and modifications to address COVID-19 challenges
title_full_unstemmed Addressing cancer survivors’ cardiovascular health using the automated heart health assessment (AH-HA) EHR tool: Initial protocol and modifications to address COVID-19 challenges
title_sort addressing cancer survivors’ cardiovascular health using the automated heart health assessment (ah-ha) ehr tool: initial protocol and modifications to address covid-19 challenges
publisher Elsevier
series Contemporary Clinical Trials Communications
issn 2451-8654
publishDate 2021-06-01
description Background: The purpose of this paper is to describe the Automated Heart-Health Assessment (AH-HA) study protocol, which demonstrates an agile approach to cancer care delivery research. This study aims to assess the effect of a clinical decision support tool for cancer survivors on cardiovascular health (CVH) discussions, referrals, completed visits with primary care providers and cardiologists, and control of modifiable CVH factors and behaviors. The COVID-19 pandemic has caused widespread disruption to clinical trial accrual and operations. Studies conducted with potentially vulnerable populations, including cancer survivors, must shift towards virtual consent, data collection, and study visits to reduce risk for participants and study staff. Studies examining cancer care delivery innovations may also need to accommodate the increased use of virtual visits. Methods/design: This group-randomized, mixed methods study will recruit 600 cancer survivors from 12 National Cancer Institute Community Oncology Research Program (NCORP) practices. Survivors at intervention sites will use the AH-HA tool with their oncology provider; survivors at usual care sites will complete routine survivorship visits. Outcomes will be measured immediately after the study visit, with follow-up at 6 and 12 months. The study was amended during the COVID-19 pandemic to allow for virtual consent, data collection, and intervention options, with the goal of minimizing participant-staff in-person contact and accommodating virtual survivorship visits. Conclusions: Changes to the study protocol and procedures allow important cancer care delivery research to continue safely during the COVID-19 pandemic and give sites and survivors flexibility to conduct study activities in-person or remotely.
topic Electronic health records
Clinical decision support
Usability testing
Cardiovascular diseases
Cancer survivors
Breast cancer
url http://www.sciencedirect.com/science/article/pii/S2451865421001095
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spelling doaj-3f63b88d693d4d12834570e40688e4492021-06-25T04:49:53ZengElsevierContemporary Clinical Trials Communications2451-86542021-06-0122100808Addressing cancer survivors’ cardiovascular health using the automated heart health assessment (AH-HA) EHR tool: Initial protocol and modifications to address COVID-19 challengesRandi E. Foraker0Eleanor C. Davidson1Emily V. Dressler2Brian J. Wells3Simon Craddock Lee4Heidi D. Klepin5Karen M. Winkfield6W. Gregory Hundley7Philip R.O. Payne8Albert M. Lai9Glenn J. Lesser10Kathryn E. Weaver11Washington University School of Medicine, Institute for Informatics, 600 S. Taylor Avenue, St. Louis, MO, 63110, USA; Corresponding author. Institute for Informatics,Washington University in St. Louis, School of Medicine, 600 S. Taylor Avenue, Suite 102, Campus Box 8102, St. Louis, MO, 63110, USA.Wake Forest School of Medicine, Department of Social Sciences and Health Policy, 1 Medical Center Boulevard, Winston-Salem, NC, 27157, USAWake Forest School of Medicine, Department of Biostatistics and Data Science, 1 Medical Center Boulevard, Winston-Salem, NC, 27157, USAWake Forest School of Medicine, Department of Biostatistics and Data Science & Department of Family Medicine, 1 Medical Center Boulevard, Winston-Salem, NC, 27157, USAUniversity of Texas Southwestern Medical Center, Department of Population & Data Sciences, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USAWake Forest School of Medicine, Department of Internal Medicine, Section on Hematology-Oncology, 1 Medical Center Boulevard, Winston-Salem, NC, 27157, USAWake Forest School of Medicine, Department of Radiation Oncology, 1 Medical Center Boulevard, Winston-Salem, NC, 27157, USAWake Forest School of Medicine, Department of Internal Medicine, Section on Cardiology, 1 Medical Center Boulevard, Winston-Salem, NC, 27157, USAWashington University in St. Louis, Computer Science and Engineering, Institute for Informatics, 4444 Forest Park Avenue, St. Louis, MO, 63110, USAWashington University in St. Louis, General Medical Sciences, Institute for Informatics, 4444 Forest Park Avenue, St. Louis, MO, 63110, USAWake Forest School of Medicine, Department of Internal Medicine, Section on Hematology-Oncology, 1 Medical Center Boulevard, Winston-Salem, NC, 27157, USAWake Forest School of Medicine, Department of Social Sciences and Health Policy & Department of Implementation Science, 1 Medical Center Boulevard, Winston-Salem, NC, 27157, USABackground: The purpose of this paper is to describe the Automated Heart-Health Assessment (AH-HA) study protocol, which demonstrates an agile approach to cancer care delivery research. This study aims to assess the effect of a clinical decision support tool for cancer survivors on cardiovascular health (CVH) discussions, referrals, completed visits with primary care providers and cardiologists, and control of modifiable CVH factors and behaviors. The COVID-19 pandemic has caused widespread disruption to clinical trial accrual and operations. Studies conducted with potentially vulnerable populations, including cancer survivors, must shift towards virtual consent, data collection, and study visits to reduce risk for participants and study staff. Studies examining cancer care delivery innovations may also need to accommodate the increased use of virtual visits. Methods/design: This group-randomized, mixed methods study will recruit 600 cancer survivors from 12 National Cancer Institute Community Oncology Research Program (NCORP) practices. Survivors at intervention sites will use the AH-HA tool with their oncology provider; survivors at usual care sites will complete routine survivorship visits. Outcomes will be measured immediately after the study visit, with follow-up at 6 and 12 months. The study was amended during the COVID-19 pandemic to allow for virtual consent, data collection, and intervention options, with the goal of minimizing participant-staff in-person contact and accommodating virtual survivorship visits. Conclusions: Changes to the study protocol and procedures allow important cancer care delivery research to continue safely during the COVID-19 pandemic and give sites and survivors flexibility to conduct study activities in-person or remotely.http://www.sciencedirect.com/science/article/pii/S2451865421001095Electronic health recordsClinical decision supportUsability testingCardiovascular diseasesCancer survivorsBreast cancer