ArticleBMC health services research2022
A thematic analysis of system wide learning from first wave Covid-19 in the East of England.
Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Not yet cited in PubMed.
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
0 citing papers in PubMed, 2 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
- Retraction · 2022-07-05Euphemisms for Plagiarism · Plagiarism of/in Article ·
- Retracted
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Covid-19 pandemic has created an unprecedented challenge for health and social care systems globally. There is an urgent need for research on experiences of COVID-19 at different levels of health systems, including lessons from professional, organisational and local system responses, that can be used to inform managerial and policy responses.
methodsThis paper presents the findings from a thematic analysis of front-line staff experiences working across the Norfolk and Waveney integrated care system (ICS) in the East of England during April and October 2020 to address the question "What are the experiences and perceptions of partner organisations and practitioners at multiple levels of the health system in responding to COVID-19 during the first wave of the pandemic?" This question was posed to learn from how practitioners, interdependent partner organisations and the system experienced the pandemic and responded. 176 interview transcripts derived from one to one and focus group interviews, meeting notes and feedback from a "We Care Together" Instagram campaign were submitted for qualitative thematic analysis to an external research team at a regional University commissioned to undertake an independent evaluation. Three phases of qualitative analysis were systematically undertaken to derive the findings.
findingsThirty-one themes were distilled highlighting lessons learned from things that went well compared with those that did not; challenges compared with the celebrations and outcomes; learning and insights gained; impact on role; and system headlines. The analysis supported the ICS to inform and capitalise on system wide learning for integration, improvement and innovations in patient and care home resident safety, and staff wellbeing to deal with successive waves of the pandemic as well as prioritising workforce development priorities as part of its People Plan.
conclusionsThe findings contribute to a growing body of knowledge about what impact the pandemic has had on health and social care systems and front-line practitioners globally. It is important to understand the impact at all three levels of the system (micro, meso and macro) as it is the meso and macro system levels that ultimately impact front line staff experiences and the ability to deliver person centered safe and effective care in any context. The paper presents implications for future workforce and health services policy, practice innovation and research.
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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.