ArticleJournal of medical Internet research2020
Postoperative Remote Automated Monitoring and Virtual Hospital-to-Home Care System Following Cardiac and Major Vascular Surgery: User Testing Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Factors Influencing the Uptake of Digital Health Interventions for Cardiovascular Disease Prevention Among Healthcare Providers: A Systematic Review.Global heart · 2026Pooled it
- Systematic Review of Telemedicine and eHealth Systems Applied to Vascular Surgery.Journal of medical systems · 2022Pooled it
- Educational approaches for patients with heart surgery: a systematic review of main features and effects.BMC cardiovascular disorders · 2022Pooled it
- A Smarter Health through the Internet of Surgical Things.Sensors (Basel, Switzerland) · 2022Pooled it
- The impact of thyroid function on surgical prognosis in patients undergoing cardiac and major vascular surgeries.Journal of cardiothoracic surgery · 2025Article
- Impact of a smartphone-connected remote monitoring system on self-management continuity and health awareness in cardiovascular outpatients: an exploratory survey.European heart journal. Digital health · 2025Article
- Cloud Horizons: Strengthening Rural Healthcare Through Telemedicine's Digital Canopy.Health services insights · 2024Article
- The Transformative Power of Virtual Hospitals for Revolutionising Healthcare Delivery.Public health reviews · 2024Review
- Patient Satisfaction With a Multisite, Multiregional Remote Patient Monitoring Program for Acute and Chronic Condition Management: Survey-Based Analysis.Journal of medical Internet research · 2023Article
- How Might We Have Known? Using Administrative Data to Predict 30-Day Hospital Readmission in Clients Receiving Home Care Services from 2018 to 2021.Health services insights · 2023Article
- A Novel Hospital-to-Home System for Children With Medical Complexities: Usability Testing Study.JMIR formative research · 2022Article
- Patient and clinician use characteristics and perceptions of pulse oximeter use: A scoping review.International journal of medical informatics · 2022Article
- Recommendations for the Design and Delivery of Transitions-Focused Digital Health Interventions: Rapid Review.JMIR aging · 2022Review
- Machine Learning and Internet of Things Enabled Monitoring of Post-Surgery Patients: A Pilot Study.Sensors (Basel, Switzerland) · 2022Article
- Perioperative Tablet-Based Telemonitoring After Abdominal Wall Hernia Surgery: Pilot Prospective Observational Cohort Study.JMIR perioperative medicine · 2020Article
- User Perceptions of Virtual Hospital Apps in China: Systematic Search.JMIR mHealth and uHealth · 2020Article
Corrections and comments
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Authors and funding
27 authors at 10 institutions in 3 countries.
Funding
Abstract
backgroundCardiac and major vascular surgeries are common surgical procedures associated with high rates of postsurgical complications and related hospital readmission. In-hospital remote automated monitoring (RAM) and virtual hospital-to-home patient care systems have major potential to improve patient outcomes following cardiac and major vascular surgery. However, the science of deploying and evaluating these systems is complex and subject to risk of implementation failure.
objectiveAs a precursor to a randomized controlled trial (RCT), this user testing study aimed to examine user performance and acceptance of a RAM and virtual hospital-to-home care intervention, using Philip's Guardian and Electronic Transition to Ambulatory Care (eTrAC) technologies, respectively.
methodsNurses and patients participated in systems training and individual case-based user testing at two participating sites in Canada and the United Kingdom. Participants were video recorded and asked to think aloud while completing required user tasks and while being rated on user performance. Feedback was also solicited about the user experience, including user satisfaction and acceptance, through use of the Net Promoter Scale (NPS) survey and debrief interviews.
resultsA total of 37 participants (26 nurses and 11 patients) completed user testing. The majority of nurse and patient participants were able to complete most required tasks independently, demonstrating comprehension and retention of required Guardian and eTrAC system workflows. Tasks which required additional prompting by the facilitator, for some, were related to the use of system features that enable continuous transmission of patient vital signs (eg, pairing wireless sensors to the patient) and assigning remote patient monitoring protocols. NPS scores by user group (nurses using Guardian: mean 8.8, SD 0.89; nurses using eTrAC: mean 7.7, SD 1.4; patients using eTrAC: mean 9.2, SD 0.75), overall NPS scores, and participant debrief interviews indicated nurse and patient satisfaction and acceptance of the Guardian and eTrAC systems. Both user groups stressed the need for additional opportunities to practice in order to become comfortable and proficient in the use of these systems.
conclusionsUser testing indicated a high degree of user acceptance of Philips' Guardian and eTrAC systems among nurses and patients. Key insights were provided that informed refinement of clinical workflow training and systems implementation. These results were used to optimize workflows before the launch of an international RCT of in-hospital RAM and virtual hospital-to-home care for patients undergoing cardiac and major vascular surgery.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.