ArticleJournal of medical Internet research2013
Cost-effectiveness of a new internet-based monitoring tool for neonatal post-discharge home care.
Article in Journal of medical Internet research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 25 citations in OpenAlex.
- Trial
- Open-source customizable website to follow-up physical rehabilitation of cardiovascular patients at home.Frontiers in cardiovascular medicine · 2025Article
- Remote home weight monitoring and office visits in newborns: a pilot randomized controlled trial.World journal of pediatrics : WJP · 2025Article
- Patient engagement practice within perinatal eHealth: A scoping review.Nursing open · 2023Article
- Autonomic Nervous System Maturation and Emotional Coordination in Interactions of Preterm and Full-Term Infants With Their Parents: Protocol for a Multimethod Study.JMIR research protocols · 2021Article
- Determining if Telehealth Can Reduce Health System Costs: Scoping Review.Journal of medical Internet research · 2020Article
- Making a business case for a model of regionalization with neonatologist availability at all facilities: one institution's financial tell-all.Journal of perinatology : official journal of the California Perinatal Association · 2018Article
- The empirical foundations of telemedicine interventions for chronic disease management.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2014Review
- Telemedicine-based approach for obstructive sleep apnea management: building evidence.Interactive journal of medical research · 2014Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe application of information and communication technologies in nursing care is becoming more widespread, but few applications have been reported in neonatal care. A close monitoring of newborns within the first weeks of life is crucial to evaluating correct feeding, growth, and health status. Conventional hospital-based postdischarge monitoring could be improved in terms of costs and clinical effectiveness by using a telemedicine approach.
objectiveTo evaluate the cost-effectiveness of a new Internet-based system for monitoring low-risk newborns after discharge compared to the standard hospital-based follow-up, with specific attention to prevention of emergency department (ED) visits in the first month of life.
methodsWe performed a retrospective cohort study of two low-risk newborn patient groups. One group, born between January 1, 2011, and June 30, 2011, received the standard hospital-based follow-up visit within 48 hours after discharge. After implementing an Internet-based monitoring system, another group, born between July 19, 2011, and January 19, 2012, received their follow-up with this system.
resultsA total of 18 (15.8%) out of 114 newborns who received the standard hospital-based follow-up had an ED visit in the first month of life compared with 5 (5.6%; P=.026) out of 90 infants who were monitored by the Internet-based system. The cost of the hospital-based follow-up was 182.1€ per patient, compared with 86.1€ for the Internet-based follow-up.
conclusionOur Internet-based monitoring approach proved to be both more effective and less costly than the conventional hospital-based follow-up, particularly through reducing subsequent ED visits.
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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.