The utility of telemedicine in pediatric emergency care: a scoping review.
Notice bibliographique
Résumé
The utility of telemedicine in pediatric emergency care: a scoping review. Owen Robinson, Shaelynn Zouboules, Hailey Lafave, Roger Galbraith, Eddy Lang Background: Widespread public health measures to combat COVID-19 and escalated parental fear in seeking medical care have compromised access to acute healthcare, leading clinicians to search for alternative methods of delivery. Pediatric emergency departments (ED) have seen significant reductions in documented visits without evidence of a reduction in needs. In Alberta, average daily visits to pediatric emergency and urgent care departments decreased 69.6%, from 952.2 in December 2019 to 289.6 in April 2020. While pediatric emergency telemedicine (PET) programs have the potential to alleviate said gaps in care, it is critical that these technologies are evaluated to ensure patient safety and efficacy. Implementation: This study aimed to serve as an implementation framework for future PET programs. A scoping review was conducted in accordance with the preferred reporting items for systematic reviews and meta-analysis extension for scoping reviews (PRISMA-ScR). The primary objective was to map the existing literature and identify research gaps pertaining to the use of telemedicine in pediatric emergency departments. Primary areas of focus included direct-to-consumer (DTC) telemedicine, rural/regional applications, general ED utility, transfer of care and specialist consultation. This presentation focused on the aspects of DTC telemedicine, and its ability to potentially alleviate the present barriers to in-person presentations to EDs for acute pediatric health concerns. Our team consisted of two University of Calgary affiliated emergency physicians, three University of Calgary medical students, Canadian Agency for Drugs and Technology in Health research consultants, and a university librarian. Evaluation Methods: The outcomes of interest that we used to evaluate the relevant literature included: prevalence of PET; current applications; patient outcomes; patient satisfaction; provider satisfaction; and feasibility, challenges and barriers to implementation. In addition, we aimed to determine the proportion of literature focusing on DTC telemedicine, as this would be the desirable telemedicine application that could be used to supplement the gap in pediatric ED visits during the pandemic and mitigate the resulting health impacts. Lastly, we aimed to characterize both successes and challenges associated with DTC telemedicine in order to provide guidance for future research and policy. Results: Searches of the electronic databases returned 1617 studies. Following the two-step screening process, 37 studies met our inclusion criteria and six focused on DTC telemedicine. Study designs were all observational with all published in 2015 or later. The number of studies reporting data on the outcomes of interest were as follows: patient satisfaction (N=0); prevalence (N=1); provider satisfaction (N=1); patient outcomes (N=2); current applications (N=6); feasibility, challenges and barriers (N=6). Respiratory presentations were the most prevalent application. Three of six studies demonstrated agreement between telemedicine and in-person providers during acute assessments, demonstrating reliability of telemedicine. Conversely, two studies conveyed antimicrobial stewardship with conflicting results. Overall, results were largely positive with important challenges identified.Advice and Lessons Learned: Based on the lessons learned from our research, we recommend the following: 1) Implentation of a DTC telemedicine program can provide timely access to care, whileminimizing the health risks associated with visting the ED during the COVID-19 pandemic. 2) Respiratory complaints were among the most common presentations and thus we recommenddeveloping diagnostic and management algorithms to standardize the virtual care provided. 3) Continue quality improvement measures upon implementing a telemedicine program throughtimely feedback regarding physicians’ experiences and challenges in order to addressconcerns early and optimize efficacy of the program.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».