ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2022
Primary care practice and cancer suspicion during the first three COVID-19 lockdowns in the UK: a qualitative study.
Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- GP referral to rapid diagnostic centres for non-specific cancer symptoms: a qualitative study.BJGP open · 2025Article
- Electronic safety-netting tool features considered important by UK general practice staff: an interview and Delphi consensus study.BJGP open · 2023Article
- Article
- COVID-19 Continues to Burden General Practitioners: Impact on Workload, Provision of Care, and Intention to Leave.Healthcare (Basel, Switzerland) · 2023Article
- What are the similarities and differences in lung cancer symptom appraisal and help-seeking according to smoking status? A qualitative study with lung cancer patients.Psycho-oncology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundThe COVID-19 pandemic has profoundly affected UK primary care, and as a result the route to cancer diagnosis for many patients.
aimTo explore how the pandemic affected primary care practice, in particular cancer suspicion, referral, and diagnosis, and how this experience evolved as the pandemic progressed. DESIGN AND
settingSeventeen qualitative interviews were carried out remotely with primary care staff.
methodStaff from practices in England that expressed an interest in trialling an electronic safety-netting tool were invited to participate. Remote, semi-structured interviews were conducted from September 2020 to March 2021. Data analysis followed a thematic analysis and mind-mapping approach.
resultsThe first lockdown was described as providing time to make adjustments to allow remote and minimal-contact consultations but caused concerns over undetected cancers. These concerns were realised in summer and autumn 2020 as the participants began to see higher rates of late-stage cancer presentation. During the second and third lockdowns patients seemed more willing to consult. This combined with usual winter pressures, demands of the vaccine programme, and surging levels of COVID-19 meant that the third lockdown was the most difficult. New ways of working were seen as positive when they streamlined services but also unsafe if they prevented GPs from accessing all relevant information and resulted in delayed cancer diagnoses.
conclusionThe post-pandemic recovery of cancer care is dependent on the recovery of primary care. The COVID-19 pandemic has highlighted and exacerbated vulnerabilities in primary care but has also provided new ways of working that may help the recovery.
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.