Evidence map›Paper›PMID 36918918›Full record

ArticleBMC health services research2023

A self-monitoring wellbeing screening methodology for keyworkers, 'My Personal Wellbeing', using an integrative wellbeing model.

Garry Elvin, Zeyneb Kurt, Angela Kennedy, Petia Sice, Lee Walton, Paras Patel

Full text read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Garry ElvinDepartment of Computer and Information Sciences, University of Northumbria, Ellison Building, Newcastle Upon Tyne, NE1 8ST, UK. garry.elvin@northumbria.ac.uk.
Zeyneb KurtDepartment of Computer and Information Sciences, University of Northumbria, Newcastle Upon Tyne, UK.
Angela KennedyCumbria, Northumberland, Tyne and Wear NHS Trust, Newcastle-upon-Tyne, UK.
Petia SiceDepartment of Computer and Information Sciences, University of Northumbria, Newcastle Upon Tyne, UK.
Lee WaltonDepartment of Computer and Information Sciences, University of Northumbria, Newcastle Upon Tyne, UK.
Paras PatelCumbria, Northumberland, Tyne and Wear NHS Trust, Newcastle-upon-Tyne, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe detrimental impact of Covid-19 has led to an urgent need to support the wellbeing of UK National Health Service and care workers. This research develops an online diary to support the wellbeing of staff in public healthcare in real-time, allowing the exploration of population wellbeing and pro-active responses to issues identified.

methodsThe diary was co-produced by NHS and care stakeholders and university researchers. It was based on an integrative model monitoring mental health symptoms as well as wellbeing indicators. Diary users were encouraged to reflect on their experience confidentially, empowering them to monitor their wellbeing. The data collected was analysed using Mann-Whitney-Wilcoxon and Kruskal-Wallis statistical tests to determine any significant wellbeing trends and issues.

resultsA statistically significant decline in wellbeing (P < 2.2E-16), and a significant increase in symptoms (P = 1.2E-14) was observed. For example, indicators of post-traumatic stress, including, flashbacks, dissociation, and bodily symptoms (Kruskal-Wallis P = 0.00081, 0.0083, and 0.027, respectively) became significantly worse and users reported issues with sleeping (51%), levels of alertness (46%), and burnout (41%).

conclusionsThe wellbeing diary indicated the value of providing ways to distinguish trends and wellbeing problems, thus, informing how staff wellbeing services can determine and respond to need with timely interventions. The results particularly emphasised the pressing need for interventions that help staff with burnout, self-compassion, and intrusive memories.

Indexed as

Burnout, ProfessionalCOVID-19HumansMental HealthPersonal SatisfactionState MedicineHealthcareIntegrative wellbeing modelReflective diarySelf-monitoringStaff healthWellbeing

Identifiers

PMID36918918
PMCPMC10012319

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read31
Read underepoch 390

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.