GuidelineBMC pediatrics2023
A pediatric virtual care evaluation framework and its evolution using consensus methods.
Guideline in BMC pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- A mixed-methods exploration of the Real-Time Virtual Support pathway Child Health Advice in Real-Time Electronically in Northwestern BC.Paediatrics & child health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of virtual care has increased dramatically in response to the COVID-19 pandemic, yet evidence is lacking regarding the impact of virtual care on patient outcomes, particularly in pediatrics. A standardized evaluation approach is required to support the integration of virtual care into pediatric health care delivery programs. The objective of this work was to develop a comprehensive and structured framework for pediatric virtual care evaluation. This framework is intended to engage and guide care providers, health centres, and stakeholders towards the development of a standardized approach to the evaluation of pediatric virtual care.
methodsWe brought together a diverse multidisciplinary team, including pediatric clinicians, researchers, digital health leads and analysts, program leaders, a human factors engineer, a family advisor and our manager of health equity and diversity. The team reviewed the literature, including published evaluation frameworks, and used a consensus-based method to develop a virtual care evaluation framework applicable to a broad spectrum of pediatric virtual care programs. We used an iterative process to develop framework components, including domains and sub-domains, examples of evaluation questions, measures, and data sources. Team members met repeatedly over seven months to generate and provide feedback on all components of the framework, making revision as needed until consensus was reached. The framework was then applied to an existing virtual care program.
resultsThe resulting framework includes four domains (health outcomes, health delivery, individual experience, and program implementation) and 19 sub-domains designed to support the development and evaluation of pediatric virtual care programs. We also developed guidance on how to use the framework and illustrate its utility by applying it to an existing pediatric virtual care program.
conclusionsThis virtual care evaluation framework expands on previously developed frameworks by providing additional detail and a structure that supports practical application. It can be used to evaluate a wide range of pediatric virtual care programs in a standardized manner. Use of this comprehensive yet easy to use evaluation framework will inform appropriate implementation and integration of virtual care into routine practice and support its sustainability and continuous improvement.
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What OpenQuestion holds
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.