Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-10-31T07:20:06.520Z Has data issue: false hasContentIssue false

Going remote: Implementing digital research methods at an academic medical center during COVID-19

Published online by Cambridge University Press:  06 October 2021

Katie E. Keenoy*
Affiliation:
Washington University School of Medicine, St. Louis, MO, USA happyMedium | healthyMedium, LLC, St. Louis, MO, USA
Eric J. Lenze
Affiliation:
Washington University School of Medicine, St. Louis, MO, USA
Ginger E. Nicol
Affiliation:
Washington University School of Medicine, St. Louis, MO, USA
*
Address for correspondence: K. E. Keenoy, MA, LPC, Institute of Clinical and Translational Sciences mHealth Research Core (mHRC), Center for Clinical Studies Trial-CARE Unit, Washington University School of Medicine, 660 S. Euclid Ave., CB 8207, St. Louis, MO63110, USA. Email: keenoyk@wustl.edu
Rights & Permissions [Opens in a new window]

Abstract

COVID-19 has forced medical research institutions to conduct clinical research remotely. Here, we describe how a university’s mHealth Research Core helped facilitate the shift to remote research during the COVID-19 pandemic. In 2019 (pre-pandemic), we conducted stakeholder interviews and leadership group sessions to identify, create, and implement resources and core functions to support investigator-initiated mHealth research. Between April 2019 and February 2020, we identified four investigator needs: 1) a seminar series on trends in mHealth research, 2) mHealth case consultation services, 3) liaison services with institutional regulatory compliance groups, and 4) online navigation tools for implementation of mHealth methods (e.g., eConsent) and for building partnerships with technology vendors. To date, the mHealth Research Core has held seven seminars, completed 71 case consultations, assisted four COVID-related clinical studies, advised the IRB on shifting to remote research, and widely disseminated eConsent navigation tools. Although pre-pandemic stakeholder and investigator needs led to the creation of the mHealth Research Core, this institutional resource played a critical role in continuing clinical research during the pandemic by assisting investigators in rapidly shifting to remote study methodology.

Type
Special Communications
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science

Introduction

The emergence of the smartphone (iPhone, 2007 and Android, 2008) [1] was an inflection point for mobile technology, rapidly leading to the ubiquity of web-enabled mobile devices and resulting in more than 85% in the USA (in 2021) owning a smartphone and 67% of the global population being connected to mobile services (in 2019) [2,3]. Mobile technology is now employed to conduct all aspects of clinical research, such as consenting participants, conducting study assessments, and delivering treatment interventions with the aims of reducing participant burden, improving efficiency and innovation in research, and extending reach to underrepresented populations [Reference Onnela4,Reference Lenze, Rodebaugh and Nicol5].

Prior to the SARS-CoV-2/COVID-19 pandemic, the National Institutes of Health and the National Science Foundation had both prioritized a shift towards digital methods for conducting clinical studies – to achieve efficiencies and reduce costs, as well as to improve participant access and experience [Reference Steinhubl, Wolff-Hughes and Nilsen6,Reference Marquis-Gravel, Roe and Turakhia7].

As the world emerges from the pandemic, the scientific community finds itself in a similar situation: after witnessing transformational achievements in medical science – made possible in large part by technology – how do we continue to nurture science through innovation [Reference Inan, Tenaerts and Prindiville8,9]? Recognizing the importance of technology in safely continuing research and clinical care efforts, private and public investment in digital health innovation rose more than 60% in 2020 [1012]. The scientific community will benefit from continued funding opportunities and academic research institutions adopting a digital infrastructure to support investigators in using and navigating mobile technology for clinical research and healthcare delivery [Reference Onnela4].

Here, we chronicle the pre-pandemic development of a mobile health (mHealth) research core (mHRC) at a large US academic medical center by leveraging existing research infrastructure. We also discuss the critical role the mHRC played in aiding individual investigators, institutional leaders, and regulatory groups to address system-wide scientific and operational challenges to continuing research in a remote capacity throughout the COVID-19 pandemic.

Methods

The mHRC at Washington University in St. Louis (WU) was formed in April of 2019. Leaders of the CTSA-supported Washington University Institute of Clinical and Translational Sciences (ICTS) approached the authors, based on the increasing need to support mHealth investigators in navigating institutional regulatory processes, and our experience which included launching the first fully remote clinical trial at the institution [Reference Cristancho, Lenard and Lenze13]. With internal funding from the ICTS, we began the process of developing an institutional mHealth research support function using an adapted agile project management approach to identify barriers to implementing digital research infrastructure and guiding programmatic development.

Agile project management accelerates innovation by prioritizing transparency and adaptability, favoring flexibility and iterative project execution over fixed, sequential steps. This approach has been used to promote innovation in research and healthcare through human-centered design, embracing new insights from key stakeholders with early and iterative adaptation. The mHRC adapted an agile project management approach (See Fig. 1) for developing mHealth research capabilities in an academic setting and incorporated the process displayed in Fig. 1 [Reference Crotty, Somai and Carlile14Reference Bauer, Damschroder and Hagedorn16].

Fig. 1. Diagram of the adapted agile project management process applied to implementing digital research methods.

To better understand implementation needs and barriers, we convened an Advisory Committee of investigators and institutional leaders representing clinical informatics, computer science and engineering, implementation science, public health, and clinical disciplines in May 2019. The group established a set of core mHRC offerings to assist investigators, including providing 1) a seminar series to learn about new resources and trends in mHealth research, 2) case consultation to champion peer support and review of ideas, aims pages, manuscripts, and grant proposal, 3) liaison services between groups and University Departments to promote collaborative projects, and 4) online navigation tools to offer guidance for eConsent, virtual sessions, 3rd Party technology partnerships, and computerized systems in FDA regulated trials.

The advisory committee met every 6 weeks throughout the remainder of 2019 to review and address barriers to progress, as well as to discuss new developments and changes. Priorities were focused on developing the four core mHRC service offerings, as follows:

  1. 1. Case Consultations: Tailored scientific, strategic, technological, and regulatory resources and guidance for emerging researcher needs (e.g., a review of aims page to generate a more detailed research and technology strategy).

  2. 2. Seminar Series: Regularly occurring seminars featuring virtual talks and panel discussions with leading mHealth research and industry experts.

  3. 3. Liaison Services: Intermediating among Barnes Jewish Hospital (BJH) and WU departments, centers, and institutions to promote innovation, reduce barriers, improve communication, and streamline process across mHealth projects (e.g., rapidly launching eConsent for COVID-19 studies and generating robust online navigation tools for REDCap eConsent).

  4. 4. Library of Navigation Tools: A library of online navigation tools (e.g., REDCap eConsent, Telehealth, and Virtual Research Sessions, Partnerships with 3rd Party Technology Vendors) to promote consistency and to prevent future researchers from reinventing the wheel.

In late March 2020, clinical research was completely shut down due to COVID-19. Coincidentally, on the day prior to this announcement, the mHRC had prescheduled one of the regularly occurring seminar series events. As a result, the mHRC devoted a portion of the seminar to a discussion of the imminent shutdown and the need to rapidly shift to fully remote research. This discussion was shared with regulatory leadership, such as the Institutional Review Board (IRB) and Human Research Protection Office (HRPO). To ensure timely and safe mHealth modifications related to COVID-19, the mHRC leadership worked jointly with the Office of Information Security and the IRB to standardize methods for implementing econsent. This collaboration resulted in the mHRC developing online navigation tools for a) creating IRB-approved electronic informed consent using Research Electronic Data Capture (REDCap) and b) conducting study visits using virtual and telehealth technologies. These navigation tools were shared widely in the Institution’s research community. By April 2020, the mHRC added consultation-based services to provide support for investigators transitioning to remote functions.

Results

Case Scenario 1: Strengthening an Infrastructure of Support for mHealth Research: Using Existing Digital Resources and Building on Shared Institutional Interests to Rapidly Shift to Remote Clinical Research Methodology during COVID-19

In mid-March 2020, at the beginning of the pandemic, the mHRC anticipated likely “lockdowns” and research shutdowns based on the experience of University of Toronto during the 2003 SARS outbreak in that city (personal communication from Benoit Mulsant, M.D., March 10, 2020). The mHRC recommendations to the university’s IRB included (1) more widespread acceptance of eConsent; (2) rapid turnaround of modifications for remote/contactless research methods; (3) acceptance of protocol deviations for shifts to remote methodology, including investigator reporting of these deviations as a brief statement at the time of renewal (rather than mandating pre-approval of these changes). One week after the research shutdown occurred, the IRB swiftly instituted all recommendations. Research involving human contact was paused, except essential services within certain clinical research. The rapid shift of both COVID-19 and non-COVID-19 research to remote “contactless” methods allowed for continuing existing studies during the pandemic [Reference Goldsack, Izmailova and Menetski17,Reference Nicol, Karp and Reiersen18]. At the same time, WU began initiating studies of patients with COVID-19, who were contagious and/or in quarantine. Investigators immediately sought assistance to incorporate contactless, remote methods to continue their work. The mHRC met this challenge by helping investigators immediately reassess ongoing studies, focusing on the question, “Can the study still recruit and collect participant data?” An example of the mHRC contribution to remote study operations took place when the mHRC worked as a part of the WU COVID-19 Task Force to successfully implement eConsent at WU.

In March 2020, the first project to receive mHRC econsent consultation services swiftly launched a COVID-19 research study and biospecimen bank. The project went from the idea phase to study implementation within 2.5 weeks [Reference Farzan19]. The rapid launch of eConsent was largely successful due to a shared common goal, institutional support, project transparency and communication, “pro-active” institutional and study leadership, and WU wide access to REDCap [20] (a highly configurable web-based content management system platform developed by investigators at Vanderbilt University).

A primary goal of this project was to embed the eConsent process into the study site (e.g., emergency department or intensive care unit) workflow while also reducing participant burden and establishing minimal risk of exposure for patients, frontline healthcare workers, and staff engaged in the eConsent process. mHRC consulting services helped achieve this by recommending a verbal (waiver of written) eConsent process, that could be implemented in an efficient and contactless way. During the eConsent process, participants could review and retain a paper copy or be emailed a link to the eConsent for review on their own device or a study-designated tablet in the clinical setting. The person obtaining consent would use the phone to implement the verbal consent process and answer participant questions using REDCap to capture the participant’s response to eConsent. This touchless consent method was approved for this minimal risk study by the IRB and set a precedent for future minimal risk COVID-19 studies using a verbal consent process. The mHRC replicated efforts across 4 additional COVID-19 studies – using either verbal eConsent or eSignature eConsent methods – within 2 months.

Upon the successful launch of eConsent for COVID-19 clinical research, and due to the technical skill required in implementing eSignature eConsent using REDCap, the mHRC assisted research teams in building their eConsent data dictionary using the REDCap online designer tool (see Table 1) [21]. The mHRC also helped to establish a WU eConsent Workgroup involving key institutional and regulatory leadership. The initial goals of the eConsent Workgroup were to establish an eConsent process for all research at WU (including non-COVID-19 research) with broad regulatory approval and to improve upon existing guidance (e.g., the mHRC REDCap eConsent Navigation Tool) to instruct research teams clearly and concisely in developing and implementing approved eConsent processes. Navigating REDCap can be straightforward for developing study electronic case report forms (eCRF), deploying digital assessments and implementation of verbal eConsent that does not require a participant signature (such as in minimal risk studies). However, the process becomes more nuanced and technical with secure and encrypted emails, eConsent versioning and when an eSignature is required (e.g., to be adherent to regulatory guidelines and university policy). For example, institutions adhering to the ICH Regulations [22] will require a signature from both the participant and the person obtaining consent. There may also be additional university policy that indicates the order of signing the eConsent, and the mHRC REDCap eConsent Navigation Tool offers a section with advanced instructions for developing an eConsent that includes the WU approved signatory process (i.e., the participant signs first and the person obtaining consent signs thereafter). The mHRC eConsent navigation tool also links to a “REDCap in a Flash” [23] webinar tutorial offered by the Institution that leads research teams through the process of implementing the mHRC eConsent Navigation Tool.

Table 1. Example of utilizing adapted agile project management approach for developing mHealth research capabilities in academic settings

WU = Washington University in St. Louis; mHRC = mobile health (mHealth) Research Core; REDCap = Research Electronic Data Capture; eConsent = Electronic Consent; ICH = International Council for Harmonisation of Technical Requirement for Pharmaceuticals for Human Use; WUSM = Washington University School of Medicine.

A lesson learned while implementing digital research methods at an Academic Medical Center during COVID-19 is to acknowledge that context shapes the nature and course of digital transformation. Particularly in public health disaster scenarios, there may not be time or resources available to adopt the ideal long-term solution. Change initiatives at the organizational level, particularly those involving technology, often fail without carefully executed change management plans [24]. However, disasters can open windows of opportunity for innovation and illustrates how an inevitable change – transitioning to fully remote clinical research – was accelerated by pandemic circumstances. While this provided an important opportunity, it also limited our options to those available (and affordable) at the time. In our case, the pandemic created an urgency and an openness to digital transformation that might not have otherwise existed. The next challenge will be transitioning to more efficient systems and processes while continuing to adjust to the new and swiftly evolving normal in public health. The mHRC will continue communication with executive management and decision-makers about relevant limitations of an identified solution and is working toward incorporating a process of continuous evaluation to assess the impact of the currently implemented solution (REDCap eConsent), the evolution of the business need, user feedback, available resourcing, allocated funding, and potential alternative solutions.

In summary, as part of the eConsent Workgroup, the mHRC continues to invest in the following areas of improvement and expansion in the implementation of eConsent at the University:

  1. 1. A more robust REDCap eConsent Navigation Tool: The mHRC REDCap eConsent Navigation Tool was approved by the IRB and mitigated confusion and errors across study teams. The mHRC continues to develop improved iterations of the REDCap eConsent Navigation Tool and has partnered with The WUSM Becker Medical Library to create instructional “REDCap in a Flash” video tutorials.

  2. 2. Integrated navigation tools and templates: The mHRC continues to work with the WU eConsent Workgroup to create an eConsent template that will be embedded within REDCap. This embedded template will provide study teams the option to “turn on” eConsent within REDCap and reduces the amount of work-study teams will spend building their project in REDCap.

  3. 3. Specialized eConsent case consultations: For studies needing assistance above and beyond the online Navigation Tools and video tutorials, the mHRC offered direction by way of 30-minute case consultations focused on implementing eConsent.

  4. 4. eConsent liaison services: As part of the WU eConsent Workgroup, the mHRC is working with the Center for Clinical Studies Trial-CARE Unit to roll out a University supported eConsent and EDC suite of services for training, standard operating procedures, and validation of computerized systems used in FDA CFR 21 Part 11 compliant regulated research [25].

Case Scenario 2: Continuing Research Uninterrupted During the Pandemic: Working with 3rd Party Vendors

Most academic and medical research institutions respect the autonomy of investigators and may not provide the authority to require investigators use a particular vendor. This places the responsibility on the investigator when identifying and vetting technology vendors and associated products and costs. In the case of using an existing Software as a Service (SaaS) product, costs would be invested in licensing the product for use. SaaS products may be a reasonable option for many investigators with the goal of implementing research using technology.

Third-party SaaS vendors may offer a variety of options from highly configurable platforms to more “off the shelf” (static) platforms. The mHRC developed the Technology Partnerships Navigation Tool to help investigators navigate conversations with 3rd party vendors to determine a partnership of good fit, including but not limited to intellectual property rights, regulatory compliance, and cost considerations.

Healthy Bodies Healthy Minds (HBHM) is a multisite pilot clinical trial utilizing an adapted Interactive Obesity Treatment Approach (iOTA) [Reference Tabak, Strickland and Kirk26,Reference Tabak, Strickland and Stein27] for obesity prevention in young adults with severe mental illness and overweight or early-stage obesity [Reference Tabak, Strickland and Kirk26]. HBHM is one example of a project that required the engagement of a 3rd party tech vendor with a configurable SaaS content management system. The study investigator selected to work with the 3rd Party technology vendor happyMedium | healthyMedium, LLC [28] to integrate the adapted iOTA SMS text message intervention with the vendor’s proprietary healthy Medium Content Management System (healthyCMS, Fig. 2).

Fig. 2. Image of healthyMedium Content Management System (healthyCMS) and SMS intervention as used in the Healthy Bodies Healthy Minds study.

The mHRC helped the study investigator navigate the partnership with the 3rd Party Technology vendor and utilized an adapted agile project management approach to help the study successfully launch and continue operations uninterrupted during the pandemic (See Table 2).

Table 2. Example of utilizing adapted agile project management approach to successfully launch a pilot treatment adaptation study in a fully remote multisite clinical trial

healthyCMS = healthyMedium Content Management System; HBHM = Healthy Bodies Healthy Minds; mHRC = Mobile Health (mHealth) Research Core; LLC = Limited Liability Company; HIPAA = Health Insurance Portability and Accountability Act; CMS = Content Management System; UAT = User Acceptance Testing.

The HBHM study launch coincided with the beginning of the pandemic, which necessitated the shift to completely remote study functions. Thus, an electronic clinical trial management system was needed for overall study management of remote clinical sites, including participant tracking and data management.

The proprietary healthyMedium content management system (healthyCMS, Fig. 2) was used to deliver intervention-specific SMS messaging and collect precise participant-level data, including ecological needs assessments [Reference Nicol, Ricchio and Metts31] (i.e., real-time assessments of user needs and satisfaction with the intervention). The healthyCMS tracked participant and site-level engagement and retention metrics and provided a tailored integration with Twilio.com to facilitate the HBHM SMS text messaging treatment adaptation of the parent study’s SMS messaging content [Reference Tabak, Strickland and Kirk26]. The mHRC facilitated communication between the investigators and the tech vendor, providing support throughout all phases of the project. The project start-up objectives additionally included 1) finalize contract and scope of work, with consideration for longer-term issues such as ongoing data management and system upkeep, 2) assist with obtaining information security and IRB approvals for a multisite clinical trial utilizing an existing CMS, and 3) aid in crafting an adaptation plan adherent to original study budget and aims, allowing room for flexibility in implementation. For example, the mHRC worked with the study team and 3rd party vendor to determine the SMS intervention would be the most economical starting place for the HBHM feasibility study, given the SMS intervention logic was largely established by the parent study. However, the plan was also set in place for HBHM to grow into a web-based intervention with modified Twilio SMS messaging and server-based notifications. Web-based applications can be an economical choice for many studies because one code source can be used and the work product would be accessible across multiple device types – computer, tablet, iOS, and Android. However, web-based applications are dependent upon Internet connection and may not function when there is not a connection. Therefore, web-based applications may not be appropriate to use in all study types (e.g., where response times are data outcomes or for studies in remote areas without reliable Internet connection), and special consideration must be given to how the data will be securely retained and transferred in case there is disruption to internet service. The liaison services of the mHRC were also critical in helping the investigator map implementation solutions utilizing existing accessible technology embedded in the project workflow, Zoom, and the healthyCMS.

The healthyCMS integration with SMS text messaging and the use of Zoom for study trainings and virtual study visits enabled the study to launch in a fully remote capacity and to continue uninterrupted amid the COVID-19 pandemic. Although no changes to the original research protocol were required to shift to fully remote study procedures, this study benefitted from mHRC assistance in building a partnership with a technology vendor that provided the healthyCMS Software as a Service (SaaS) product, making use of existing digital resources for eConsent (see Case 1), secure virtual video study visits and remotely training study interventionists.

Discussion/Summary

The initial mHRC core offerings were designed to achieve critical impacts for WU research, including but not limited to the following: (1) educate investigators on how to best implement mHealth tools and concepts in their research, (2) help research studies and research teams operate in a remote capacity, and (3) promote an infrastructure of support for investigators employing mHealth tools or testing mHealth interventions in their research. These critical impacts were achieved by the mHRC through the implementation of the mHRC core offerings, and implementation of an adapted agile project management approach to ensure investigators could rapidly shift to fully remote study operations, continue ongoing studies and start newly funded studies during the pandemic.

Reflecting the academic nature of the work, we published preliminary observations and recommendations from the mHRC’s work, including continuing and even expanding clinical research via mHealth during the COVID-19 pandemic [Reference Nicol, Karp and Reiersen18,Reference Lenze, Nicol and Barbour32]. These recommendations, which remain relevant more than a year later, included implementing technology to reduce the need for face-to-face contact with participants. Researchers can minimize face-to-face contact with participants by using digital tools, such as electronic informed consent and digital HIPAA compliant SMS text messaging, mobile app or web assessments, and virtual visits.

The mHRC will continue facilitating and accelerating new and ongoing research across clinical areas and departments at WU. To foster inter-institutional collaboration among mHealth researchers at CTSA institutions, a future direction of the mHRC is to generate a resource page on our website that lists mHealth researchers and their associated area of research and institution. Even as the pandemic recedes in the USA, remote research methodology is here to stay. We hope this description of the mHRC experience can serve as a roadmap for institutions facing what are likely to be universal needs at academic medical institutions: go-to resources for researchers across clinical areas looking to utilize digital tools in remote study methodology, the reduction of technical and regulatory delays, and the sharing of accumulating knowledge and experience within and between CTSA-supported academic institutions to achieve research aims and collaboration among mHealth researchers.

Acknowledgements

Research reported in this publication was supported by the Washington University Institute of Clinical and Translational Sciences grant UL1TR002345 from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH), from the Healthy Bodies Healthy Minds Interactive Obesity Treatment Approach (HBHM-iOTA) grant R34 MH118395 from the National Institute of Mental Health (NIMH) of the National Institutes of Health (NIH), and from the Washington University Center for Clinical Studies Trial-CARE Unit. The content is solely the responsibility of the authors and does not necessarily represent the official view of the NIH.

A special thank you to Stephanie Brown and Kate Oberg for assistance with manuscript preparation. The authors would also like to acknowledge the contributions of the mHealth Research Core (mHRC) Advisory Committee members: William Powderly MD, Bradley Evanoff MD MPH, Christina Gurnett MD PhD, Christina Buckel MSW, Patricia Cavazos-Rehg PhD, Suresh Vedantham MD, Yi Zhang RN JD, Amanda Cashen MD, Jeanne Velders, Thomas Kannampallil PhD, Albert Lai PhD, Thomas Maddox MD MSc, and Chenyang Lu PhD.

Disclosures

Keenoy: While writing this manuscript, the author held the position as Head of Health and Research at happyMedium | healthyMedium, LLC. Grant support: from the Washington University STAR Award Institute of Clinical and Translational Sciences (ICTS).

Nicol: Grant support: from the Washington University Institute of Clinical and Translational Sciences (ICTS), the Center for Diabetes Translational Research (CDTR), the Center for Brain Research in Mood Disorders (CBiMD), and the Institute for Public Health (IPH) at Washington University School of Medicine; The Barnes Jewish Hospital (BJH) Foundation; Alkermes; Usona Institute (drug only). Consulting fees: Alkermes.

Lenze: Grant support (non-federal): COVID Early Treatment Fund, Mercatus Center Emergent Ventures, the Skoll Foundation, the Taylor Family Institute for Innovative Psychiatric Research, the Center for Brain Research in Mood Disorders, the Patient-Centered Outcomes Research Institute, Janssen, and the Barnes Jewish Foundation. Consulting fees: Janssen, Jazz Pharmaceuticals. Patent: sigma-1 receptor medications for COVID-19.

References

iPhone and Android (operating system), Wikipedia The Free Encyclopedia [Internet], updated October 2021 [cited July 2021]. (https://en.wikipedia.org/wiki/IPhone and https://en.wikipedia.org/wiki/Android_(operating_system))Google Scholar
The Mobile Economy 2021. GSM Association [Internet], 2021 [cited July 2021]. (https://www.gsma.com/mobileeconomy/wp-content/uploads/2021/07/GSMA_MobileEconomy2021_3.pdf)Google Scholar
Mobile Fact Sheet. Pew Research Center. [Internet] April 7, 2021 [cited July 2021]. (https://www.pewresearch.org/internet/fact-sheet/mobile/)Google Scholar
Onnela, JP. Opportunities and challenges in the collection and analysis of digital phenotyping data. Neuropsychopharmacol 2021; 46: 4554. DOI 10.1038/s41386-020-0771-3.10.1038/s41386-020-0771-3CrossRefGoogle ScholarPubMed
Lenze, EJ, Rodebaugh, TL, Nicol, GE. A framework for advancing precision medicine in clinical trials for mental disorders. JAMA Psychiatry 2020; 77(7): 663664. DOI 10.1001/jamapsychiatry.2020.0114.10.1001/jamapsychiatry.2020.0114CrossRefGoogle ScholarPubMed
Steinhubl, SR, Wolff-Hughes, DL, Nilsen, W, et al. Digital clinical trials: creating a vision for the future. npj Digital Medicine 2019; 2: 126.10.1038/s41746-019-0203-0CrossRefGoogle ScholarPubMed
Marquis-Gravel, G, Roe, MT, Turakhia, MP, et al. Technology-enabled clinical trials: transforming medical evidence generation. Circulation 2019; 140: 14261436.10.1161/CIRCULATIONAHA.119.040798CrossRefGoogle ScholarPubMed
Inan, OT, Tenaerts, P, Prindiville, SA, et al. Digitizing clinical trials. Digital Medicine 2020; 3: 101.Google ScholarPubMed
Digital Clinical Trials Workshop: Creating a Vision for the Future. National Institutes of Health, 2019. (https://www.nhlbi.nih.gov/events/2019/digital-clinical-trials-workshop-creating-vision-future)Google Scholar
Digital Healthcare Interventions to Address the Secondary Health Effects Related to Social, Behavioral, and Economic Impact of COVID-19 (R01 - Clinical Trial Optional). National Institutes of Health; Department of Health and Human Services, 2020. (https://grants.nih.gov/grants/guide/pa-files/par-20-243.html)Google Scholar
HHS Awards 26 Research Grants to Explore the Healthcare System’s Response to the COVID-19 Pandemic. Agency for Healthcare Research and Quality, 2021. (https://www.ahrq.gov/news/newsroom/press-releases/research-grants-covid.html)Google Scholar
MERCOM Capital Group. Q4 And Annual 2020 Digital Health (Healthcare IT) Funding And M&A Report, 2020. (https://mercomcapital.com/product/q4-and-annual-2020-digital-health-healthcare-it-funding-and-ma-report/)Google Scholar
Cristancho, P, Lenard, E, Lenze, EJ, et al. Optimizing outcomes of treatment-resistant depression in older adults (OPTIMUM): study design and treatment characteristics of the first 396 participants randomized. The American Journal of Geriatric Psychiatry 2019; 27: 11381152.10.1016/j.jagp.2019.04.005CrossRefGoogle ScholarPubMed
Crotty, B, Somai, M, Carlile, N. Adopting Agile Principles in Health Care. St. Louis, MO: Washington University School of Medicine Library, 2019.Google Scholar
Pirro, L. How agile project management can work for your research. Nature Careers Community. Nature. April 10, 2019. DOI 10.1038/d41586-019-01184-9.10.1038/d41586-019-01184-9CrossRefGoogle ScholarPubMed
Bauer, MS, Damschroder, L, Hagedorn, H, et al. An introduction to implementation science for the non-specialist. BMC Psychology 2015; 3: 3232.10.1186/s40359-015-0089-9CrossRefGoogle ScholarPubMed
Goldsack, JC, Izmailova, ES, Menetski, JP, et al. Remote digital monitoring in clinical trials in the time of COVID-19. Nature Reviews Drug Discovery 2020; 19: 378379.10.1038/d41573-020-00094-0CrossRefGoogle ScholarPubMed
Nicol, GE, Karp, JF, Reiersen, AM, et al. “What were you before the war?” Repurposing psychiatry during the COVID-19 pandemic. The Journal of Clinical Psychiatry 2020; 81: 3.10.4088/JCP.20com13373CrossRefGoogle ScholarPubMed
Farzan, S. ‘Just A Bit Of Saliva’: COVID-19 Specimen Bank Propels Coronavirus Research in St. Louis. St. Louis Public Radio, NPR, 2020.Google Scholar
REDCap Citations: How to cite publications in study manuscripts using REDCap for data collection and management. (https://projectredcap.org/resources/citations/)Google Scholar
RedCap E-Consent, Washington University School of Medicine in St. Louis. mHealth Research Core, 2020. (https://mhealth.wustl.edu/navigation-tools/redcap-e-consent/).Google Scholar
ICH. ICH Harmonised Guideline: Integrated Addendum to ICH E6(R1) - Guideline for Good Clinical Practice E6(R2), 2016. (https://database.ich.org/sites/default/files/E6_R2_Addendum.pdf)Google Scholar
REDCap Workshop Recordings, Washington University School of Medicine in St. Louis. Bernard Becker Medical Library, 2020. (https://becker.wustl.edu/services/data-management-and-sharing/redcap-workshop-recordings/)Google Scholar
Tabak, RG, Strickland, JR, Kirk, B, et al. Pilot test of an interactive obesity treatment approach among employed adults in a university medical billing office. Pilot and Feasibility Studies 2020; 6: 57.10.1186/s40814-020-00599-wCrossRefGoogle Scholar
Tabak, RG, Strickland, JR, Stein, RI, et al. Development of a scalable weight loss intervention for low-income workers through adaptation of interactive obesity treatment approach (iOTA). BMC Public Health 2018; 18: 1265.10.1186/s12889-018-6176-0CrossRefGoogle Scholar
Clinical Research in the Palm of Your Hand. happyMedium | healthyMedium, LLC [Internet], 2020 [cited July 2021]. (https://www.thinkhappymedium.com/work/mhealth)Google Scholar
Wiltsey Stirman, S, Baumann, AA, Miller, CJ. The FRAME: an expanded framework for reporting adaptations and modifications to evidence-based interventions. Implementation Science 2019; 14: 58.10.1186/s13012-019-0898-yCrossRefGoogle ScholarPubMed
Lyon, AR, Wasse, JK, Ludwig, K, et al. The contextualized technology adaptation process (CTAP): optimizing health information technology to improve mental health systems. Administration and Policy in Mental Health and Mental Health Services Research 2016; 43: 394409.10.1007/s10488-015-0637-xCrossRefGoogle ScholarPubMed
Nicol, GE, Ricchio, AR, Metts, CL, et al. A smartphone-based technique to detect dynamic user preferences for tailoring behavioral interventions: observational utility study of ecological daily needs assessment. JMIR mHealth and uHealth 2020; 8: e18609.10.2196/18609CrossRefGoogle ScholarPubMed
Lenze, EJ, Nicol, GE, Barbour, DL, et al. Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders. Journal of Psychiatry and Neuroscience 2021; 46: E97e110.10.1503/jpn.200042CrossRefGoogle Scholar
Figure 0

Fig. 1. Diagram of the adapted agile project management process applied to implementing digital research methods.

Figure 1

Table 1. Example of utilizing adapted agile project management approach for developing mHealth research capabilities in academic settings

Figure 2

Fig. 2. Image of healthyMedium Content Management System (healthyCMS) and SMS intervention as used in the Healthy Bodies Healthy Minds study.

Figure 3

Table 2. Example of utilizing adapted agile project management approach to successfully launch a pilot treatment adaptation study in a fully remote multisite clinical trial