ArticlemHealth2018
Physical activity monitors can be successfully implemented to assess perioperative activity in urologic surgery.
Article in mHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06283771 (The Effect of Warmed Socks Developed as Wearable Technology on Hypothermia, Thermal Comfort Perception and Shivering in Healthy Volunteers), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
The Effect of Warmed Socks Developed as Wearable Technology on Hypothermia, Thermal Comfort Perception and Shivering in Healthy Volunteers
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Readiness for implementation of novel digital health interventions for postoperative monitoring: a systematic review and clinical innovation network analysis.The Lancet. Digital health · 2023Pooled it
- Surgical nurses' artificial intelligence literacy and readiness levels for medical artificial intelligence.BMC nursing · 2025Article
- Enhancing postoperative functional recovery: Impact of the MAIA™ telerehabilitation platform in robot-assisted radical prostatectomy patients.Asian journal of urology · 2025Article
- The Impact of Wearable Technologies in Health Research: Scoping Review.JMIR mHealth and uHealth · 2022Article
- Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review.NPJ digital medicine · 2021Article
- Wearable devices for patient monitoring in the early postoperative period: a literature review.mHealth · 2021Review
- [Digital innovation in medicine: the COVID-19 pandemic as an accelerator of "digital health"].Journal fur Urologie und Urogynakologie : Zeitschrift fur Urologie und Urogynakologie in Klinik und Praxis · 2021Article
- Catheter Removal on the Same Day of Holmium Laser Enucleation of the Prostate: Outcomes of a Pilot Study.Urology · 2020Article
- Current use of telehealth in urology: a review.World journal of urology · 2020Review
- Smartphone technology and its applications in urology: a review of the literature.World journal of urology · 2020Review
- Sleep tracking: A systematic review of the research using commercially available technology.Current sleep medicine reports · 2019Article
- Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health and physical activity monitors (PAMs) are emerging technologies allowing patients to track multiple health parameters. These parameters could be useful in monitoring and modifying the perioperative health of urology patients. We performed a pilot study and describe a model for which to implement mHealth applications in a urology population.
methodsPatients undergoing robotic assisted retropubic prostatectomy were screened for inclusion and provided with Fitbit® Charge HR
resultsForty-six patients met inclusion criteria. Median duration of PAM usage was one and seven days preoperatively and postoperatively. Postoperatively, there was a reduction in median daily steps compared to preoperatively (2,782
conclusionsPAM effectively captures perioperative biophysical parameters and is associated with high patient satisfaction. Clinically, obese and elderly men appear to have significantly reduced activity following prostatectomy.
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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.