ArticleBMC medical informatics and decision making2022
The development of a decision aid to support Hodgkin lymphoma survivors considering lung cancer screening.
Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- Decision aids for cancer survivors' engagement with survivorship care services after primary treatment: a systematic review.Journal of cancer survivorship : research and practice · 2024Pooled it
- A qualitative study on the effect of a decision aid on knowledge of cataract surgery in patients in developing countries.International ophthalmology · 2024Trial
- Pilot study of lung cancer screening for survivors of Hodgkin lymphoma.Haematologica · 2024Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDecisions aids (DA) can support patients to make informed decisions about screening tests. This study describes the development and initial evaluation of a lung cancer screening (LCS) DA targeted towards survivors of Hodgkin lymphoma (HL).
methodsA prototype decision aid booklet was developed and subsequently reviewed by a steering group who provided feedback. Revisions were made to produce the DA tested in this study. HL survivors were recruited to an online survey and/or focus groups. Lymphoma practitioners were invited to an interview study. In the online survey, decisional conflict scales and knowledge scales were completed before and after accessing the DA. The focus groups and interviews explored acceptability and comprehensibility and the decisional needs of stakeholders. Focus groups and interviews were audio recorded. The framework method was used to analyse qualitative data.
results38 HL survivors completed the online survey. Following exposure to the DA, knowledge of LCS and risk factors and decisional conflict scores (total score and subscale scores) improved significantly. 11 HL survivors took part in two focus groups (n = 5 and n = 6) and 11 practitioners were interviewed. Focus group and interview results: The language, format and length were considered acceptable. Both groups felt the DA was balanced and presented a choice. Icon arrays were felt to aid comprehension of absolute risk values and for some survivors, they reduced affective risk perceptions. Among survivors, the impact of radiation risk on decision making varied according to gender and screening interval, whilst practitioners did not anticipate it to be a major concern for patients. Both groups expressed that a screening offer could mitigate anxiety about lung cancer risk. As anticipated by practitioners, survivors expressed a desire to seek advice from their clinical team. Practitioners thought the DA would meet their informational needs regarding LCS when supporting survivors.
conclusionsThe DA is considered acceptable by HL survivors and practitioners. The DA reduces decisional conflict and improves knowledge in HL survivors, suggesting that it would support HL survivors to make informed decisions when considering LCS in a future clinical trial.
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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.