Observational studyBMC medical informatics and decision making2019
Talking about treatment benefits, harms, and what matters to patients in radiation oncology: an observational study.
Observational study in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Percent of remaining life on palliative radiation treatment: solely a function of fractionation?Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023Article
- Shared decision making in cancer treatment: A Dutch national survey on patients' preferences and perceptions.European journal of cancer care · 2022Article
- Radiation oncologists role, training and perceptions in palliative care: a systematic review.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation OncologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundShared decision making is associated with improved patient outcomes in radiation oncology. Our study aimed to capture how shared decision-making practices-namely, communicating potential harms and benefits and discussing what matters to patients-occur in usual care.
methodsWe invited a convenience sample of clinicians and patients in a radiation oncology clinic to participate in a mixed methods study. Prior to consultations, clinicians and patients completed self-administered questionnaires. We audio-recorded consultations and conducted qualitative content analysis. Patients completed a questionnaire immediately post-consultation about their recall and perceptions.
results11 radiation oncologists, 4 residents, 14 nurses, and 40 patients (55% men; mean age 64, standard deviation or SD 9) participated. Patients had a variety of cancers; 30% had been referred for palliative radiotherapy. During consultations (mean length 45 min, SD 16), clinicians presented a median of 8 potential harms (interquartile range 6-11), using quantitative estimates 17% of the time. Patients recalled significantly fewer harms (median recall 2, interquartile range 0-3, t(38) = 9.3, p < .001). Better recall was associated with discussing potential harms with a nurse after seeing the physician (odds ratio 7.5, 95% confidence interval 1.3-67.0, p = .04.) Clinicians initiated 63% of discussions of harms and benefits while patients and families initiated 69% of discussions about values and preferences (Chi-squared(1) = 37.8, p < .001). 56% of patients reported their clinician asked what mattered to them.
conclusionsRadiation oncology clinics may wish to use interprofessional care and initiate more discussions about what matters to patients to heed Jain's (2014) reminder that, "a patient isn't a disease with a body attached but a life into which a disease has intruded."
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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.