ArticleHealth science reports2018
Cancer as the "perfect storm"? A qualitative study of public attitudes to health conditions.
Article in Health science reports, 2018. 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, 6 citations in OpenAlex.
- Patient-Reported Receipt of Goal-Concordant Care Among Seriously Ill Outpatients-Prevalence and Associated Factors.Journal of pain and symptom management · 2020Trial
- Quantifying the psychological and behavioural consequences of a diagnostic label for non-cancer conditions: systematic review.BJPsych open · 2023Review
- What Aspects of Illness Influence Public Preferences for Healthcare Priority Setting? A Discrete Choice Experiment in the UK.PharmacoEconomics · 2021Article
- Consequences of a Diagnostic Label: A Systematic Scoping Review and Thematic Framework.Frontiers in public health · 2021Article
- Cancer as the "perfect storm"? A qualitative study of public attitudes to health conditions.Health science reports · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsOur aim is to identify important attributes of major diseases that shape how they are perceived by the public. METHODS AND
resultsFour focus groups among members of the public were recruited, in March and October 2016, and used semistructured discussion to explore important attributes of cancer, heart disease, stroke, dementia, mental illness, and infectious disease. Common themes were identified by using inductive thematic analysis.Five themes were identified: fear, impact on family and friends, hope, detection, and prevention. Fear of cancer includes not only fear of death but also of aggressive treatments. Loss of dignity is feared in dementia, while infectious disease raises fear of uncontrollable "plague"; in contrast, people with mental illness may themselves be seen as a potential threat. The impact of cancer and its treatment on family and friends was described as intense and all-consuming, even for those not involved directly in caring; with dementia and stroke, the family impact is taking on care, including funding, over the long term with little expectation of improvement. Hope is a major theme in cancer and stroke recovery, linked with the need to take action, often expressed in aggressive language of "fighting," but seen as futile in dementia. Detection difficulties for "silent" cancers mean that real treatment opportunities are missed; cardiovascular and infection risk, however, are seen as easy to identify and act on, whereas mental illness and dementia are seen as poorly diagnosed and with limited treatment options. Prevention awareness is high for cardiovascular disease and infection, lower for cancer, and limited for dementia and mental health.
conclusionAlthough themes overlap across diseases, the specific concerns are different and each condition has a unique profile. Quantifying the relative importance of these themes could allow their incorporation in decision-making, not only when they occur as a named disease but also in any relevant condition.
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.