ReviewJournal of medical imaging and radiation sciences2022
Investing in our human capital: Sharing the experience of implementing a retention strategy at a large academic hospital from a leadership lens.
Review in Journal of medical imaging and radiation sciences, 2022. 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, 4 citations in OpenAlex.
- Models of care in Canadian hospitals: an exploration of current practice and future directions.BMC health services research · 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
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The impact of the COVID-19 pandemic on healthcare providers is well documented and has resulted in significant pressures from a health human resources perspective with many point-of-care providers taking extended leave or moreover, leaving the healthcare sector altogether. As part of a larger Health Human Resources (HHR) strategy at Sunnybrook Health Sciences Centre (Sunnybrook) in Toronto, Canada, a time-limited interprofessional working group titled Supporting Team Sunnybrook (STS) was created. The working group was created to focus on staff retention to respond to ongoing concerns by leaders with regard to staff leaving the organization at an increased rate as documented by our organization's decision support team. Anecdotally, many staff cited their decision to leave the organization as a consequence of the pandemic. As no staff retention committee had been formally created at our organization, STS was established to engage all staff members while addressing and resolving current feedback, concerns, suggestions and issues. The objective of our working group was to review published literature, establish themes from this review, and align these themes to priority themes brought forward by staff through a number of data capture activities. Data capture activities included reviewing existing survey data, new survey data and meetings with staff members. Analysis of the data resulted in the identification of five key consensus areas (priority themes): Staff recognition, wellbeing, grow at Sunnybrook, leaderful leaders, and communication. Our team created five corresponding working groups with the aim to create short- and long-term goals, as well as time sensitive and sustainable operational activities that would contribute to improved staff retention at our organization. Outcomes from our work provided two key learnings to leaders on their ongoing work to retain staff which were the importance of: (1) engagement across all roles, professions including non-clinical team members and support staff and (2) broad communication on the outcomes of our working group to demonstrate that that their feedback was taken seriously and acted upon.
Indexed as
Identifiers
What OpenQuestion holds
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.