Deployment of an End-to-End Remote, Digitalized Clinical Study Protocol in COVID-19: Process Evaluation

被引:5
|
作者
Zahradka, Nicole [1 ]
Pugmire, Juliana [2 ]
Taylor, Jessie Lever [1 ]
Wolfberg, Adam [1 ]
Wilkes, Matt [2 ]
机构
[1] Current Hlth Inc, 294 Washington St,Suite 510, Boston, MA 02108 USA
[2] Current Hlth Ltd, Edinburgh, Midlothian, Scotland
关键词
evaluation study; telemedicine; remote consultation; digital divide; research design; virtual clinical trial; decentralized; COVID-19; primary recruitment; social media; virtual care; heart rate; wearable; health care cost; health technology;
D O I
10.2196/37832
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: The SARS-CoV-2 (COVID-19) pandemic may accelerate the adoption of digital, decentralized clinical trials. Conceptual recommendations for digitalized and remote clinical studies and technology are available to enable digitalization. Fully remote studies may break down some of the participation barriers in traditional trials. However, they add logistical complexity and offer fewer opportunities to intervene following a technical failure or adverse event. Objective: Our group designed an end-to-end digitalized clinical study protocol, using the Food and Drug Administration (FDA)-cleared Current Health (CH) remote monitoring platform to collect symptoms and continuous physiological data of individuals recently infected with COVID-19 in the community. The purpose of this work is to provide a detailed example of an end-to-end digitalized protocol implementation based on conceptual recommendations by describing the study setup in detail, evaluating its performance, and identifying points of success and failure. Methods: Primary recruitment was via social media and word of mouth. Informed consent was obtained during a virtual appointment, and the CH-monitoring kit was shipped directly to the participants. The wearable continuously recorded pulse rate (PR), respiratory rate (RR), oxygen saturation (SpO(2)), skin temperature, and step count, while a tablet administered symptom surveys. Data were transmitted in real time to the CH cloud-based platform and displayed in the web-based dashboard, with alerts to the study team if the wearable was not charged or worn. The study duration was up to 30 days. The time to recruit, screen, consent, set up equipment, and collect data was quantified, and advertising engagement was tracked with a web analytics service. Results: Of 13 different study advertisements, 5 (38.5%) were live on social media at any one time. In total, 38 eligibility forms were completed, and 19 (50%) respondents met the eligibility criteria. Of these, 9 (47.4%) were contactable and 8 (88.9%) provided informed consent. Deployment times ranged from 22 to 110 hours, and participants set up the equipment and started transmitting vital signs within 7.6 (IQR 6.3-10) hours of delivery. The mean wearable adherence was 70% (SD 19%), and the mean daily survey adherence was 88% (SD 21%) for the 8 participants. Vital signs were in normal ranges during study participation, and symptoms decreased over time. Conclusions: Evaluation of clinical study implementation is important to capture what works and what might need to be modified. A well-calibrated approach to online advertising and enrollment can remove barriers to recruitment and lower costs but remains the most challenging part of research. Equipment was effectively and promptly shipped to participants and removed the risk of illness transmission associated with in-person encounters during a pandemic. Wearable technology incorporating continuous, clinical-grade monitoring offered an unprecedented level of detail and ecological validity. However, study planning, relationship building, and troubleshooting are more complex in the remote setting. The relevance of a study to potential participants remains key to its success.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] SwabExpress: An End-to-End Protocol for Extraction-Free COVID-19 Testing
    Srivatsan, Sanjay
    Heidl, Sarah
    Pfau, Brian
    Martin, Beth K.
    Han, Peter D.
    Zhong, Weizhi
    van Raay, Katrina
    McDermot, Evan
    Opsahl, Jordan
    Gamboa, Luis
    Smith, Nahum
    Truong, Melissa
    Cho, Shari
    Barrow, Kaitlyn A.
    Rich, Lucille M.
    Stone, Jeremy
    Wolf, Caitlin R.
    McCulloch, Denise J.
    Kim, Ashley E.
    Brandstetter, Elisabeth
    Sohlberg, Sarah L.
    Ilcisin, Misja
    Geyer, Rachel E.
    Chen, Wei
    Gehring, Jase
    Kosuri, Sriram
    Bedford, Trevor
    Rieder, Mark J.
    Nickerson, Deborah A.
    Chu, Helen Y.
    Konnick, Eric Q.
    Debley, Jason S.
    Shendure, Jay
    Lockwood, Christina M.
    Starita, Lea M.
    CLINICAL CHEMISTRY, 2022, 68 (01) : 143 - 152
  • [2] VIVID: In Vivo End-to-End Molecular Communication Model for COVID-19
    Pal, Saswati
    Islam, Nabiul
    Misra, Sudip
    IEEE TRANSACTIONS ON MOLECULAR BIOLOGICAL AND MULTI-SCALE COMMUNICATIONS, 2021, 7 (03): : 142 - 152
  • [3] END-TO-END NETWORK BASED ON TRANSFORMER FOR AUTOMATIC DETECTION OF COVID-19
    Cai, Cong
    Liu, Bin
    Tao, Jianhua
    Tian, Zhengkun
    Lu, Jiahao
    Wang, Kexin
    2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, : 9082 - 9086
  • [4] Access to Care: End-to-End Digital Response for COVID-19 Care Delivery
    Cooling, Melinda
    Klein, Colleen J.
    Pierce, Lisa M.
    Delinski, Nicole
    Lotz, Abby
    Vozenilek, John A.
    JNP- THE JOURNAL FOR NURSE PRACTITIONERS, 2022, 18 (02): : 232 - 235
  • [5] End-To-End Deep Learning Framework for Coronavirus (COVID-19) Detection and Monitoring
    El-Rashidy, Nora
    El-Sappagh, Shaker
    Islam, S. M. Riazul
    El-Bakry, Hazem M.
    Abdelrazek, Samir
    ELECTRONICS, 2020, 9 (09) : 1 - 25
  • [6] An End-to-End Knowledge Graph Based Question Answering Approach for COVID-19
    Qiao, Yinbo
    Yang, Zhihao
    Lin, Hongfei
    Wang, Jian
    HEALTH INFORMATION PROCESSING, CHIP 2022, 2023, 1772 : 156 - 169
  • [7] ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection
    Sakr, Ahmed S.
    Plawiak, Pawel
    Tadeusiewicz, Ryszard
    Plawiak, Joanna
    Sakr, Mohamed
    Hammad, Mohamed
    INFORMATION SCIENCES, 2023, 619 : 324 - 339
  • [8] The design and evaluation of an end-to-end handoff management protocol
    Antonios Argyriou
    Vijay Madisetti
    Wireless Networks, 2007, 13 : 61 - 75
  • [9] The design and evaluation of an end-to-end handoff management protocol
    Argyriou, Antonios
    Madisetti, Vijay
    WIRELESS NETWORKS, 2007, 13 (01) : 61 - 75
  • [10] To end AIDS and COVID-19, end inequalities
    Kavanagh, Matthew M.
    AJAR-AFRICAN JOURNAL OF AIDS RESEARCH, 2022, 21 (02): : V - VI