Evidence map›Paper›PMID 34860669›Full record

ArticleJMIR human factors2021

Pediatric Clinicians' Use of Telemedicine: Qualitative Interview Study.

Julia B Finkelstein, Elise S Tremblay, Melissa Van Cain, Aaron Farber-Chen, Caitlin Schumann, Christina Brown, Ankoor S Shah, Erinn T Rhodes

Abstract read
In one paragraph

Article in JMIR human factors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Julia B Finkelstein *Department of Urology, Boston Children's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-9120-4492
Elise S Tremblay *Division of Endocrinology, Boston Children's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-0950-6393
Melissa Van CainDepartment of Medical Informatics, School of Community Medicine, University of Oklahoma, Tulsa, OK, United States.ORCID https://orcid.org/0000-0002-1646-9829
Aaron Farber-ChenInnovation and Digital Health Accelerator, Boston Children's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0001-6126-6812
Caitlin SchumannInnovation and Digital Health Accelerator, Boston Children's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-1283-497X
Christina BrownInnovation and Digital Health Accelerator, Boston Children's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0001-9316-8088
Ankoor S ShahInnovation and Digital Health Accelerator, Boston Children's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-3777-2250
Erinn T RhodesDivision of Endocrinology, Boston Children's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-5872-1412

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Training in Child Health Services Research and Implementation ScienceT32HS000063 · AHRQ · CHILDREN'S HOSPITAL BOSTON · PI GARABEDIAN, LAURA FADEN, WALSH, KATHLEEN ELIZABETH · 1994 to 2024
$7.6M
CAREER DEVELOPMENT IN DIABETES RESEARCH FOR PEDIATRIC ENDOCRINOLOGISTSK12DK094721 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI LAFFEL, LORI M, WHITE, MORRIS F. · 2011 to 2021
$6.3M
AHRQ HHS T32 HS000063NIDDK NIH HHS K12 DK094721NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

backgroundBedside manner describes how clinicians relate to patients in person. Telemedicine allows clinicians to connect virtually with patients using digital tools. Effective virtual communication or webside manner may require modifications to traditional bedside manner.

objectiveThis study aims to understand the experiences of telemedicine providers with patient-to-provider virtual visits and communication with families at a single large-volume children's hospital to inform program development and training for future clinicians.

methodsA total of 2 focus groups of pediatric clinicians (N=11) performing virtual visits before the COVID-19 pandemic, with a range of experiences and specialties, were engaged to discuss experiential, implementation, and practice-related issues. Focus groups were facilitated using a semistructured guide covering general experience, preparedness, rapport strategies, and suggestions. Sessions were digitally recorded, and the corresponding transcripts were reviewed for data analysis. The transcripts were coded based on the identified main themes and subthemes. On the basis of a higher-level analysis of these codes, the study authors generated a final set of key themes to describe the collected data.

resultsTheme consistency was identified across diverse participants, although individual clinician experiences were influenced by their specialties and practices. A total of 3 key themes emerged regarding the development of best practices, barriers to scalability, and establishing patient rapport. Issues and concerns related to privacy were salient across all themes. Clinicians felt that telemedicine required new skills for patient interaction, and not all were comfortable with their training.

conclusionsTelemedicine provides benefits as well as challenges to health care delivery. In interprofessional focus groups, pediatric clinicians emphasized the importance of considering safety and privacy to promote rapport and webside manner when conducting virtual visits. The inclusion of webside manner instructions within training curricula is crucial as telemedicine becomes an established modality for providing health care.

Indexed as

communicationpediatricstelemedicinevideo visitswebside manner

Identifiers

PMID34860669
PMCPMC8686477

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.