2018
DOI: 10.1097/ccm.0000000000002887
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Numeracy and Interpretation of Prognostic Estimates in Intracerebral Hemorrhage Among Surrogate Decision Makers in the Neurologic ICU

Abstract: OBJECTIVE Clinicians caring for patients with intracerebral hemorrhage (ICH) must often discuss prognosis and goals of care with their patients’ surrogate decision makers, and may make numeric estimates of likelihood of survival and functional independence, informed by validated prediction models. Surrogates’ prognostic estimates are often discordant with physicians’, suggesting that physicians’ numeric statements may not be accurately interpreted. We sought to assess the relationship between numeracy and inte… Show more

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Cited by 12 publications
(8 citation statements)
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“…Numerical abilities were a significant predictor of COVID-19 related risk-taking, with those having higher numerical abilities less likely to adopt preventative behaviours, thus taking more risk. This finding was the opposite of what we expected, as prior research has found that low numeracy was related to poorer health outcomes and decisions [29][30][31][32]. When looking at numeracy and COVID-19 health behaviours specifically, other studies found that numeracy was not significantly related to adopting preventative measures [56,59].…”
Section: Discussioncontrasting
confidence: 99%
See 1 more Smart Citation
“…Numerical abilities were a significant predictor of COVID-19 related risk-taking, with those having higher numerical abilities less likely to adopt preventative behaviours, thus taking more risk. This finding was the opposite of what we expected, as prior research has found that low numeracy was related to poorer health outcomes and decisions [29][30][31][32]. When looking at numeracy and COVID-19 health behaviours specifically, other studies found that numeracy was not significantly related to adopting preventative measures [56,59].…”
Section: Discussioncontrasting
confidence: 99%
“…Participants with low numerical ability were four times more likely to delay critically needed medical treatment. Leiter et al [30] found that those with low numeracy skills made worse patient prognostic estimates (participants were given case studies), as well as selecting treatments ill-fitting with patient prognosis (e.g. selecting an aggressive treatment for a 90-year-old man with 0% chance of survival or functional independence).…”
Section: Introductionmentioning
confidence: 99%
“…Several common surrogate biases warrant discussion. First, in experimental settings, surrogates' interpretations of clinician prognostications were affected by numeracy skills ( 81 ) and were often overly optimistic ( 82 ). Second, surrogates may be subject to recall bias, remembering patients as more independent than they really were prior to illness ( 83 ).…”
Section: Shared Decision-making With Surrogates: Potential Pitfallsmentioning
confidence: 99%
“…Families of stroke patients are often aware of uncertainties in prognostication but require clarification as to why such uncertainty exists ( 95 ). Given concerns of numeracy skills ( 81 ), multiple portrayals of data should be offered if quantitative estimates of prognosis are offered; risks may be perceived as higher when presented as frequencies (e.g., 1 in 10) rather than equivalent percentages (e.g., 10%) ( 114 ). Alternatively, some specialists recommend focusing on functional outcomes – with less emphasis on numerical estimates – using visual aids that illustrate the best, worst, and most likely scenarios ( 115 ).…”
Section: Shared Decision-making With Surrogates: Ideal Processesmentioning
confidence: 99%
“…A study of decisionmakers in a critical care environment demonstrated that even college-educated people possessed low numeracy (the ability to understand numbers), which led to discordant surrogate prognostic estimates. 37 There are established strategies for making decisions in the setting of prognostic uncertainty, including describing the best case/worst case scenario, and most likely functional outcomes, for a particular illness, and gauging the acceptability of each of these outcomes based on a patient's known wishes. 38,39 It is also helpful to frame predictions of longevity in time intervals (hours to days, days to weeks, weeks to months, months to years, or many years), rather than more specific time frames, to enhance accuracy and flexibility.…”
Section: Communicationmentioning
confidence: 99%