ArticleJournal of advanced nursing2022
General Practice Nurses' experiences of changing care delivery during COVID-19. Implications for future practice: Qualitative study protocol.
Article in Journal of advanced nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed, 4 citations in OpenAlex.
- General Practice Nurses' experiences of changing care delivery during COVID-19. Implications for future practice: Qualitative study protocol.Journal of advanced nursing · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
aimTo explore how General Practice Nurses experience implementing change at pace and scale in delivering care during consecutive waves of the COVID-19 pandemic. To evaluate the impact of changes to general practice nurses' working practices on professional wellbeing.
backgroundIn response to the COVID-19 pandemic, general practice rapidly and extensively changed care delivery. There has been little exploration of the experiences of General Practice Nurses and care delivery, job satisfaction, workload, stress and professional support.
designA qualitative case study design of three to five general practice case sites will explore General Practice Nurses' experiences during the Covid-19 pandemic. The study was funded and approved by the General Nursing Council Trust in June 2021. University ethics approval was gained in July 2021. Health Research Authority approval has been obtained [IRAS:30353. Protocol number: R23982. Ref 21/HRA/5132. CPMS: 51834].
methodsData will consist of focus groups and/or semi-structured interviews with General Practice Nurses, primary healthcare team members and other key informants. Business/strategy and nurse team meetings relating to workforce planning/review will be observed. Documents will be analysed and routinely collected general practice data will provide descriptive contextualisation at each site. The study will be theoretically underpinned by the Non-adoption, Abandonment, Scale-up, Spread and Sustainability Framework and data analysed using framework analysis. DISCUSSION: General Practice Nurses have a unique sphere of knowledge and undertake specific work in primary care. This workforce is challenged by recruitment, retention and retirement issues, leading to the loss of highly experienced and knowledgeable professionals. It is important to explore how working practices brought about by Covid-19 affect General Practice Nurses. IMPACT: This study will explore working practices brought about by the Covid-19 pandemic to inform care delivery, patient care and support General Practice Nursing workforce wellbeing and will highlight and mitigate negative aspects of novel and changing care delivery. Key factors in implementing and supporting future practice and change implementation will be developed.
trial registrationCPMS: 51834.
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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.