ArticlePalliative medicine2022
Trapped in a double cage: How patients' partners experience the diagnosis of advanced cancer in times of the COVID-19 pandemic: An interpretative phenomenological analysis.
Article in Palliative medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 8 citations in OpenAlex.
- Intersecting challenges: Cancer caregivers' experiences during COVID-19.Palliative care and social practice · 2025Article
- Do all roads lead to Rome? An ideal-type study on trajectories of resilience in advanced cancer caregiving.PloS one · 2024Article
- Rural resilience during COVID-19: the lived experience of North Carolinian rural-dwelling cancer caregivers.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023Article
- Resilience in advanced cancer caregiving promoted by an intimate partner's support network: insights through the lens of complexity science. A framework analysis.BMC palliative care · 2023Article
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 at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhen confronting a partner's diagnosis of advanced cancer, family caregivers are often protected against severe psychological illness by their mental resilience. However, the current COVID-19 pandemic endangers this resilience through the daily threat of contagion exposure, viral transmission, isolation, and fear of death.
aimTo examine the experiences of partners caring for a person with advanced cancer during the COVID-19 pandemic.
settingTwelve partners (all under the age of 65) of persons newly diagnosed with advanced cancer immediately before or during the pandemic were interviewed. An interpretative phenomenological approach was used in analyzing the data.
findingsPartners experience the COVID-19 pandemic as "living in a double cage." Due to pandemic mandates and restrictions, the pace of their lives slows. However, COVID-19 does not slow the progression of the cancer, nor does it allow for an escape from the cancer. The pandemic has a significant impact on several elements of resilience. Nevertheless, the participants succeed in adapting and coping in a balanced and creative way despite the new challenges imposed by the pandemic.
conclusionThe COVID-19 pandemic challenges one's resilience, a process that, under normal circumstances, may evolve while caring for a partner diagnosed with advanced cancer. Although most partners seem to cope adaptively with both advanced cancer and COVID-19, healthcare professionals should be aware of the risk of exhaustion. Furthermore, it can be presupposed that threatened, contextual factors that may support resilience should be preserved to increase the chances for a resilient outcome.
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.