Evidence map›Paper›PMID 37101241›Full record

ArticleAnnals of general psychiatry2023

Canadian pediatric eating disorder programs and virtual care during the COVID-19 pandemic: a mixed-methods approach to understanding clinicians' perspectives.

Kaylee Novack, Rachel Dufour, Louis Picard, Danielle Taddeo, Pierre-Olivier Nadeau, Debra K Katzman, Linda Booij, Nicholas Chadi

Open access · goldAbstract read
In one paragraph

Article in Annals of general psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 5 institutions in 1 country.

Kaylee NovackDepartment of Psychiatry and Addictology, Université de Montréal, Montréal, Canada.
Rachel DufourDepartment of Psychology, Concordia University, Montreal, Canada.
Louis PicardDepartment of Psychology, Sainte-Justine University Hospital Centre, Montreal, Canada.
Danielle TaddeoDivision of Adolescent Medicine, Department of Pediatrics, Sainte-Justine University Hospital Centre, Université de Montréal, 3175 Chemin de la Côte-Ste-Catherine, Montreal, QC, H3T 1C5, Canada.
Pierre-Olivier NadeauDepartment of Psychiatry and Addictology, Université de Montréal, Montréal, Canada.
Debra K KatzmanDivision of Adolescent Medicine, Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, Canada.
Linda Booij *CHU Sainte-Justine Hospital Research Centre, Montreal, Canada.
Nicholas Chadi *Division of Adolescent Medicine, Department of Pediatrics, Sainte-Justine University Hospital Centre, Université de Montréal, 3175 Chemin de la Côte-Ste-Catherine, Montreal, QC, H3T 1C5, Canada. nicholas.chadi@umontreal.ca.
Université de Montréal · CACentre Hospitalier Universitaire Sainte-Justine · CAConcordia University · CADouglas Mental Health University Institute · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a result of the public health measures put in place during the COVID-19 pandemic in Canada, many health services, including those for the treatment of eating disorders, were provided at a distance. This study aims to describe the adaptations made in specialized pediatric eating disorder programs in Canada and the impact of these adaptations on health professionals' experience of providing care.

methodsA mixed-methods design was used to survey healthcare professionals working in specialized pediatric eating disorder programs about adaptations to treatment made during the pandemic and the impact of these adaptations on their experience of providing care. Data were collected between October 2021 and March 2022 using a cross-sectional survey comprising 25 questions and via semi-structured interviews. Quantitative data were summarized using descriptive statistics and qualitative data were interpreted using qualitative content analysis.

resultsEighteen healthcare professionals in Canada completed the online survey, of whom six also participated in the semi-structured interviews. The cross-sectional survey confirmed that, unlike in pre-pandemic times, the majority of participants provided medical care (15/18) and mental health care (17/18) at a distance during the pandemic, with most participants using telephone (17/18) and videoconferencing (17/18). Most (16/18) health professionals indicated that virtual care would continue to be used as a tool in pediatric ED treatment after the pandemic. Participants used a combination of virtual and in-person care, with most reporting weighing patients both in clinic (16/18) and virtually (15/18). Qualitative content analysis generated five themes: (1) responding to increased demand with insufficient resources; (2) adapting to changes in care due to the COVID-19 pandemic; (3) dealing with uncertainty and apprehension; (4) virtual care as an acceptable and useful clinical tool, and (5) optimal conditions and future expectations. Most interview participants (5/6) had globally positive views of virtual care.

conclusionsProviding virtual multidisciplinary treatment for children and adolescents with eating disorders seemed feasible and acceptable to professionals during the pandemic. Moving forward, focusing on health professionals' perspectives and providing appropriate training in virtual interventions is essential given their central role in successful implementation and continued use of virtual and hybrid care models.

Indexed as

COVID-19 pandemicEating disordersHealthcare professionalsPediatricVirtual care

Identifiers

PMID37101241
PMCPMC10132795
OpenAlexW4367048613

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.