Evidence map›Paper›PMID 36303172›Full record

ArticleBMC psychiatry2022

Future public health emergencies and disasters: sustainability and insights into support programs for healthcare providers.

Misha Dhuper, Lesley Ruttan, Lindsey MacGillvray, Martha McKay, Adrienne Li, Donna Stewart, Susan Abbey, Suze Berkhout, Kathleen Sheehan, Christian Schulz-Quach

Abstract read
In one paragraph

Article in BMC psychiatry, 2022. 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
–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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
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

10 authors.

Misha DhuperDepartment of Psychiatry, Temerty Faculty of Medicine, 1 King's College Cir, Toronto, ON, M5S 1A8, Canada.
Lesley RuttanToronto Rehab, University Health Network, 550 University Avenue, Toronto, ON, M5G 2A2, Canada.
Lindsey MacGillvrayDepartment of Psychiatry, Temerty Faculty of Medicine, 1 King's College Cir, Toronto, ON, M5S 1A8, Canada.
Martha McKayToronto Rehab, University Health Network, 550 University Avenue, Toronto, ON, M5G 2A2, Canada.
Adrienne LiToronto Rehab, University Health Network, 550 University Avenue, Toronto, ON, M5G 2A2, Canada.
Donna StewartDepartment of Psychiatry, Temerty Faculty of Medicine, 1 King's College Cir, Toronto, ON, M5S 1A8, Canada.
Susan AbbeyDepartment of Psychiatry, Temerty Faculty of Medicine, 1 King's College Cir, Toronto, ON, M5S 1A8, Canada.
Suze BerkhoutDepartment of Psychiatry, Temerty Faculty of Medicine, 1 King's College Cir, Toronto, ON, M5S 1A8, Canada.
Kathleen SheehanDepartment of Psychiatry, Temerty Faculty of Medicine, 1 King's College Cir, Toronto, ON, M5S 1A8, Canada.
Christian Schulz-QuachDepartment of Psychiatry, Temerty Faculty of Medicine, 1 King's College Cir, Toronto, ON, M5S 1A8, Canada. christian.schulz-quach@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mental health of healthcare workers (HCWs) has been at the forefront throughout the COVID-19 pandemic. While workplace-based support programs have been developed in hospitals globally, few systematically collected data. While critical to their success, information on these programs and the experience of mental healthcare providers (MHP) who support colleagues is limited. The objective of this study was to explore the experiences of MHP caring for HCW colleagues within a novel workplace-based mental health support program during the COVID-19 pandemic, to provide insights on facilitators, areas for improvement and barriers to program sustainability.

methodsThis qualitative study used semi-structured interviews conducted by videoconference between September 2020 to October 2021. UHN CARES (University Health Network Coping and Resilience for Employees and Staff) Program was developed during the first wave of the COVID-19 pandemic in March 2020. It supports over 21,000 staff members within the UHN, Canada's largest academic health research institution, in Toronto, Canada. Purposive sampling was used to select 10 of the 22 MHP in the UHN CARES Program (n = 10). Using a critical realism framework, key components required to sustain a successful workplace-based mental health support program for HCWs and balance the needs of MHP were determined.

resultsSix psychiatrists and four psychologists (n = 10) with varying roles at UHN participated in 17 interviews, including seven repeat interviews exploring changes over time within the pandemic and program. Components which facilitated the success of the program included flexibility in scheduling, confidential health record storage, comprehensive administrative support, availability of resources and adaptive quality improvement approach. Recommendations for improvement included opportunities for peer supervision, triaging of cases, and managing HCW expectations. MHP found caring for HCWs to be meaningful and they utilized existing clinical skills during sessions. Challenges included working in a virtual setting, navigating boundaries when caring for colleagues, and managing the range of service users and their needs.

conclusionsThese findings suggest how support programs can be structured for HCWs, how to provide support, and how to sustain this support, allowing health systems to balance the needs of HCWs and MHPs in preparation for future public health emergencies.

Indexed as

COVID-19DisastersEmergenciesHealth PersonnelHumansPandemicsPublic HealthCOVID-19 pandemicDisasterEmergencyHealthcare deliveryHealthcare workersMental health providerMental health supportsWork and Mental HealthWorkplace-based programs

Identifiers

PMID36303172
PMCPMC9612620

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.