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Marquis-Gravel G, Faulkner M, Merritt G, Farrehi P, Zemon N, Robertson HR, Jones WS, Kraschnewski J. Importance of patient engagement in the conduct of pragmatic multicenter randomized controlled trials: The ADAPTABLE experience. Clin Trials 2023; 20:31-35. [PMID: 35999816 DOI: 10.1177/17407745221118559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND/AIMS Actively engaging patient partners in the conduct of trials is crucial to ensure the studies answer genuine, patient-centered, unmet clinical needs, and to facilitate participant recruitment and retention. The aim of this article is to demonstrate the feasibility of patient engagement within a large pragmatic multicenter randomized controlled trial, specifically for the purposes of dissemination of study information/updates and to favorize recruitment and retention. METHODS In the patient-centric, pragmatic ADAPTABLE randomized trial, transparent and timely dissemination of information on the study updates to the trial participants was undertaken to create meaningful engagement and to facilitate retention. A national panel of patient partners, the Adaptors, were directly involved in this information dissemination strategy, and study participants were engaged both nationally and locally to design recruitment methods iteratively during the conduct of the trial. All Adaptors had a lived experience with cardiovascular disease. RESULTS Adaptors attended bi-weekly meetings facilitated by the director of the study's patient-powered research network. They drafted and/or edited newsletters and ad hoc educational information written in a lay-friendly manner for study participants, which were regularly distributed to the ADAPTABLE community, in addition to online forums where participants could share their experience of their involvement in ADAPTABLE. To spur recruitment, a patient-driven initiative was to draft letters sharing their story, which were distributed by the local study teams. Patient partners thought that using patients' voice to provide their perspectives on why they believed this project was important would be more engaging for prospective participants than traditional approaches. CONCLUSIONS ADAPTABLE's experience has demonstrated the feasibility of engaging patients as partners in the conduct of a large-scale, multi-center, pragmatic randomized controlled trial. Future trials should embrace and iteratively improve this model by engaging patient partners as early as study protocol development and funding applications, and quantify its impact on the effectiveness and value of the trial.
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Affiliation(s)
| | - Madelaine Faulkner
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | | | - Peter Farrehi
- University of Michigan Medical School, Ann Arbor, MI, USA
| | | | | | - W Schuyler Jones
- Duke Clinical Research Institute, Durham, NC, USA.,Duke University Medical Center, Durham, NC, USA
| | - Jennifer Kraschnewski
- Departments of Medicine and Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
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Cope EL, McTigue KM, Forrest CB, Carton TW, Fair AM, Goytia C, Harrington JM, Lowe S, Merritt JG, Shenkman EA, Stephens WJ, Templeton A, Williams NA, Zemon N, Millender S, Angove RSM. Stakeholder engagement infrastructure to support multicenter research networks: Advances from the clinical research networks participating in PCORnet. Learn Health Syst 2023; 7:e10313. [PMID: 36654809 PMCID: PMC9835038 DOI: 10.1002/lrh2.10313] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/22/2022] [Accepted: 04/23/2022] [Indexed: 01/21/2023] Open
Abstract
Background The evidence based on the inclusion of patients and other stakeholders as partners in the clinical research process has grown substantially. However, little has been reported on how stakeholders are engaged in the governance of large-scale clinical research networks and the infrastructure used by research networks to support engagement in network-affiliated activities. Objectives The objective was to document engagement activities and practices emerging from Clinical Research Networks (CRNs) participating in PCORnet, the National Patient-Centered Clinical Research Network, specifically regarding governance and engagement infrastructure. Methods We conducted an environmental scan of PCORnet CRN engagement structures, assets, and services, focusing on network oversight structures for policy development and strategic decision-making. The scan included assets and services for supporting patient/stakeholder engagement. Data were collected by searching web-based literature and tool repositories, review of CRN Engagement Plans, analysis of previously collected key informant interviews, and CRN-based iterative review of structured worksheets. Results We identified 87 discrete engagement structures, assets, and services across nine CRNs. All CRNs engage patients/stakeholders in their governance, maintain workgroups and/or staff dedicated to overseeing engagement strategies, and offer one or more services to non-CRN researchers to enhance conducting engaged clinical research. Conclusions This work provides an important resource for the research community to explore engagement across peers, reflect on progress, consider opportunities to leverage existing infrastructure, and identify new collaborators. It also serves to highlight PCORnet as a resource for non-CRN researchers seeking to efficiently conduct engaged clinical research and a venue for advancing the science of engagement.
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Affiliation(s)
| | | | - Christopher B. Forrest
- Applied Clinical Research Center, Children's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | | | - Alecia M. Fair
- Meharry‐Vanderbilt Alliance, Department of MedicineVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Crispin Goytia
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount SinaiInstitute for Health Equity ResearchNew YorkNew YorkUSA
| | | | - Susan Lowe
- ADVANCE Clinical Research Network, OCHIN, Inc.PortlandOregonUSA
| | | | - Elizabeth A. Shenkman
- Department of Health Outcomes and Biomedical InformaticsCollege of Medicine, University of FloridaGainesvilleFloridaUSA
| | | | | | | | - Nadine Zemon
- OneFlorida Clinical Research Consortium, Clinical and Translational Science Institute, University of FloridaGainesvilleFloridaUSA
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Theis RP, Blackburn K, Lipori G, Harle CA, Alvarado MM, Carek PJ, Zemon N, Howard A, Salloum RG, Shenkman EA. Implementation context for addressing social needs in a learning health system: a qualitative study. J Clin Transl Sci 2021; 5:e201. [PMID: 35047213 PMCID: PMC8727713 DOI: 10.1017/cts.2021.842] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 08/17/2021] [Accepted: 08/18/2021] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Unmet social needs contribute to growing health disparities and rising health care costs. Strategies to collect and integrate information on social needs into patients' electronic health records (EHRs) show promise for connecting patients with community resources. However, gaps remain in understanding the contextual factors that impact implementing these interventions in clinical settings. METHODS We conducted qualitative interviews with patients and focus groups with providers (January-September 2020) in two primary care clinics to inform the implementation of a module that collects and integrates patient-reported social needs information into the EHR. Questions addressed constructs within the Theoretical Framework for Acceptability and the Consolidated Framework for Implementation Research. Data were coded deductively using team-based framework analysis, followed by inductive coding and matrix analyses. RESULTS Forty patients participated in interviews, with 20 recruited at the clinics and 20 from home. Two focus groups were conducted with a total of 12 providers. Factors salient to acceptability and feasibility included patients' discomfort answering sensitive questions, concerns about privacy, difficulty reading/understanding module content, and technological literacy. Rapport with providers was a facilitator for patients to discuss social needs. Providers stressed that limited time with patients would be a barrier, and expressed concerns about the lack of available community resources. CONCLUSION Findings highlight the need for flexible approaches to assessing and discussing social needs with patients. Feasibility of the intervention is contingent upon support from the health system to facilitate social needs assessment and discussion. Further study of availability of community resources is needed to ensure intervention effectiveness.
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Affiliation(s)
- Ryan P. Theis
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Katherine Blackburn
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Gloria Lipori
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
- Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, FL, USA
| | - Christopher A. Harle
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Michelle M. Alvarado
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
- Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA
| | - Peter J. Carek
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
- Department of Epidemiology, University of Florida, Gainesville, FL, USA
| | - Nadine Zemon
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Angela Howard
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Ramzi G. Salloum
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Elizabeth A. Shenkman
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
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