Here is problem. There are few people in media talking about on being harmed via screening: we cognitively are over optimistic about interventions and instead frame as 'just in case' 'better safe than sorry' etc 'https://t.co/gN9ac7m6fB https://t.co/OyqT0KYHQT
Clinicians' Expectations of the Benefits and Harms of Treatments, Screening, and Tests: A Systematic Review.
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Mar 2020 – Oct 2025Where it's discussed
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AI synopsis
What people are saying
The discussions largely agree with the article, emphasizing that both clinicians and patients tend to overestimate benefits and underestimate harms, as seen in statements like 'clinicians show substantial bias favoring over-treatment.' The tone is analytical and concerned, with references to structured studies and calls for improved education, reflecting deep engagement and recognition of the article's potential importance for healthcare practices.
Most discussions acknowledge that clinicians tend to overestimate benefits and underestimate harms, reflecting agreement with the article's findings.
The posts show high interest by referencing detailed studies and emphasizing the importance of addressing these misconceptions.
Many users cite specific research, critique clinical decision-making, and discuss implications for practice, indicating deep engagement.
The discussions highlight a significant concern about medical over-treatment and emphasize the need for better education and calibration, suggesting high impact.
Abstract in brief
- Clinicians often have inaccurate expectations about the benefits and harms of treatments, screening, and tests, which can influence decision-making and lead to overuse of interventions.
- A systematic review of 48 studies involving over 13,000 clinicians found that most clinicians poorly estimated both benefits and harms, frequently overestimating benefits and underestimating harms.
- These findings suggest a need for improved education and communication to ensure clinicians have accurate expectations, potentially reducing unnecessary or harmful medical interventions.
Top posts
Most liked on X and Bluesky@nsrosenberg @eemoin Yes, there is -- the best data we have suggests we're terrible at estimating both harms AND benefits of our therapeutics, but MUCH more skewed towards underestimating harms (meta-analysis here: https://t.co/9EsFcsSv1U)
Clinicians’ Expectations of the Benefits and Harms of Treatments, Screening, and Tests: A Systematic Review https://t.co/NrZ8OPQ9EU via @Tammy_Hoffmann & @Chris_B_Del_Mar
@TikkanenVesa @AllenFrancesMD Both patients and doctors often underestimate harms and overestimate benefits Doctors: https://t.co/uD1U9xhs78 Patients: https://t.co/wYIBjeLQSp
And how are medical professionals at estimating treatment benefits? Also not necessarily great - one review of 48 studies (including 13 011 clinicians) found providers overestimated benefit for 32% of outcomes and underestimated harm for 34%. 9/14 https://t.co/j9GLRKXYss
10.1001/jamainternmed.2016.8254 Entoces sobre estimamos los beneficios e infra valoramos los riesgos. La pregunta es ¿comó recalibrar adecuadamente?
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RT @mgtmccartney: Here is problem. There are few people in media talking about on being harmed via screening: we cognitively are over optim…
RT @mgtmccartney: Here is problem. There are few people in media talking about on being harmed via screening: we cognitively are over optim…
RT @mgtmccartney: Here is problem. There are few people in media talking about on being harmed via screening: we cognitively are over optim…
RT @mgtmccartney: Here is problem. There are few people in media talking about on being harmed via screening: we cognitively are over optim…
Here is problem. There are few people in media talking about on being harmed via screening: we cognitively are over optimistic about interventions and instead frame as 'just in case' 'better safe than sorry' etc 'https://t.co/gN9ac7m6fB https://t.co/OyqT0KYHQT
RT @KariTikkinen: @TikkanenVesa @AllenFrancesMD Both patients and doctors often underestimate harms and overestimate benefits Doctors: ht…
RT @KariTikkinen: @TikkanenVesa @AllenFrancesMD Both patients and doctors often underestimate harms and overestimate benefits Doctors: ht…
@TikkanenVesa @AllenFrancesMD Both patients and doctors often underestimate harms and overestimate benefits Doctors: https://t.co/uD1U9xhs78 Patients: https://t.co/wYIBjeLQSp
@shvogt @hanna_pssd Hoffmann, T. C., & Del Mar, C. (2017). Clinicians’ Expectations of the Benefits and Harms of Treatments, Screening, and Tests: A Systematic Review. JAMA Internal Medicine, 177(3), 407. https://t.co/VUljbmHQ5X
Clinicians’ Expectations of the Benefits and Harms of Treatments, Screening, and Tests https://t.co/ygnigKiYaO
https://t.co/vS8gUkxJia https://t.co/JmvBRaqmPM https://t.co/B4Ld70OLsm Can real-world data replace RCTs? https://t.co/bRZ9BwXSp4 https://t.co/v8zywoohGl https://t.co/RHJ9nGqOAI https://t.co/lj92qzKtkh https://t.co/pF6a8FzFYy https://t.co/6JGL0QyefV https://t.co/PmhFKmlp5K 8/
@PauloStFlexa @NunleyBrett @disclosetv This isn’t simply a question of expertise. Despite their training, clinicians show substantial bias favoring over-treatment. Clinicians' Expectations of the Benefits and Harms of Treatments, Screening, and Tests: A Systematic Review. Tammy C Hoffmann et al. JAMA Intern Med. 2017 https://t.co/Nr5pk07YyY
RT @AdamRodmanMD: @nsrosenberg @eemoin Yes, there is -- the best data we have suggests we're terrible at estimating both harms AND benefits…
RT @AdamRodmanMD: @nsrosenberg @eemoin Yes, there is -- the best data we have suggests we're terrible at estimating both harms AND benefits…
@nsrosenberg @eemoin Yes, there is -- the best data we have suggests we're terrible at estimating both harms AND benefits of our therapeutics, but MUCH more skewed towards underestimating harms (meta-analysis here: https://t.co/9EsFcsSv1U)
@Waltlaw69 Fair point Fortunately the provided links are going into a lot of detail with specific criticisms Also https://t.co/hnAdru66uH https://t.co/Gv4dm7PWfC https://t.co/RQjjZcKicv https://t.co/xf2fGwh5jX https://t.co/7yuwW2O423
And how are medical professionals at estimating treatment benefits? Also not necessarily great - one review of 48 studies (including 13 011 clinicians) found providers overestimated benefit for 32% of outcomes and underestimated harm for 34%. 9/14 https://t.co/j9GLRKXYss
RT @pash22: Clinicians’ Expectations of the Benefits and Harms of Treatments, Screening, and Tests: A Systematic Review https://t.co/NrZ8OP…
RT @pash22: Clinicians’ Expectations of the Benefits and Harms of Treatments, Screening, and Tests: A Systematic Review https://t.co/NrZ8OP…
Clinicians’ Expectations of the Benefits and Harms of Treatments, Screening, and Tests: A Systematic Review https://t.co/NrZ8OPQ9EU via @Tammy_Hoffmann & @Chris_B_Del_Mar
10.1001/jamainternmed.2016.8254 Entoces sobre estimamos los beneficios e infra valoramos los riesgos. La pregunta es ¿comó recalibrar adecuadamente?
RT @pash22: @kimbbellard @JulianTreadwel1 Yup, C 'Clinicians' Expectations of the Benefits and Harms of Treatments, Screening, and Tests: A…
RT @pash22: @kimbbellard @JulianTreadwel1 Yup, C 'Clinicians' Expectations of the Benefits and Harms of Treatments, Screening, and Tests: A…
@kimbbellard @JulianTreadwel1 Yup, C 'Clinicians' Expectations of the Benefits and Harms of Treatments, Screening, and Tests: A Systematic Review' https://t.co/mlsZ52llqs via @Tammy_Hoffmann & @Chris_B_Del_Mar @trishgreenhalgh
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