ArticleJMIR pediatrics and parenting2024
Electronic Communication Between Children's Caregivers and Health Care Teams: Scoping Review on Parental Caregiver's Perceptions and Experience.
Article in JMIR pediatrics and parenting, 2024. 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.
- Interactional organization of WeChat-based pediatric consultations in China: a mixed-methods study of caregiver-physician exchanges.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Background: Asynchronous communication via electronic modes (e-communication), including patient portals, secure messaging services, SMS text messaging, and email, is increasingly used to supplement synchronous face-to-face medical visits; however, little is known about its quality in pediatric settings. Objective: This review aimed to summarize contemporary literature on pediatric caregivers' experiences with and perspectives of e-communication with their child's health care team to identify how e-communication has been optimized to improve patient care. Methods: A scoping review following the Arksey and O'Malley methodological framework searched PubMed, CINAHL, Embase, and Web of Science using terms such as "Electronic Health Records" and "Communication" from 2013 to 2023 that discussed caregiver experiences and perspectives of e-communication with their child's health care provider. Studies were excluded if they were abstracts, non-English papers, nonscientific papers, systematic reviews, or quality improvement initiatives, or pertained to synchronous telemedicine. We conducted a two-step screening process by scanning the title and abstract and reviewing the full text by two independent screeners to confirm eligibility. From an initial 903 articles identified via the database search, 23 articles fulfilled all the inclusion criteria and are included in this review. Results: Of the 23 articles meeting the inclusion criteria, 11 used quantitative methods, 7 used qualitative methods, and 5 used mixed methods. The caregiver sample sizes ranged from 51 to 3339 in the quantitative studies and 8 to 36 in the qualitative and mixed methods studies. A majority (n=17) used the patient portal that was self-categorized by the study. Secure messaging through a portal or other mobile health app was used in 26% (n=6) of the studies, while nonsecure messaging outside of the portal was used 17% (n=4) of the time and email was used 33.3% (n=8) of the time. In 19 of the studies, parents reported positive experiences with and a desire for e-communication methods. Conclusions: The literature overwhelmingly supported caregiver satisfaction with and desire for e-communication in health care, but no literature intentionally studied how to improve the quality of e-communication, which is a critical gap to address.
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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.