The risks of information in health care: do we need a new decision aid?

Porzsolt, Franz; Thomaz, Tania Gouvêa; Constancio, Thiago Inocêncio; Silva, Aluísio Gomes da; Nóbrega, Antônio Cláudio Lucas da

doi:10.6061/clinics/2013(09)01

Cited by 3 publications

(3 citation statements)

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“…In line with those recommendations, a safety loop has been proposed (Figure 1). The 'safety loop' describes the interrelationship between objective risks, risk communication, the resulting subjective perception of objective risks, the derived consequences from the subjective perception of the objective risk and finally the effect of the decisions onto the objective risk (Porzsolt, Thomaz, Constâncio, Silva-Júnior, & Nóbrega, 2013.…”

Section: Introductionmentioning

confidence: 99%

Covid-19 pandemic lessons: uncritical communication of test results can induce more harm than benefit and raises questions on standardized quality criteria for communication and liability

Porzsolt¹,

Pfuhl

Kaplan

et al. 2021

Health Psychology and Behavioral Medicine

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Section: Introductionmentioning

confidence: 99%

Covid-19 pandemic lessons: uncritical communication of test results can induce more harm than benefit and raises questions on standardized quality criteria for communication and liability

Porzsolt¹,

Pfuhl

Kaplan

et al. 2021

Health Psychology and Behavioral Medicine

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“…1). The ‘safety loop’ describes the interrelationship between objective risks, risk communication, the resulting subjective perception of objective risks, the derived consequences from the subjective perception of the objective risk and finally the effect of the decisions onto the objective risk (5, 6).…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we describe the quantification of the perceived safety and perceived anxiety. The approach uses traditional 2 x 2 tables and combines this information with the Protection Motivation Theory (2), the concept of High Reliability Organizations (3), and the model of the Safety loop (5, 6) to propose a strategy on how to use scientific data for political decisions.…”

Section: Introductionmentioning

confidence: 99%

Covid-19 pandemic lessons: Uncritical communication of test results can induce more harm than benefit and raises questions on standardized quality criteria for communication and liability

Porzsolt¹,

Pfuhl

Kaplan

et al. 2020

Preprint

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BackgroundThe COVID-19 pandemic is characterized by both health and economic risks. A ‘safety loop’ model postulates risk-related decisions are not based on objective and measurable risks but on the subjective perception of those risks. We here illustrate a quantification of the difference between objective and subjective risks.MethodThe objective risks (or chances) can be obtained from traditional 2 x 2 tables by calculating the positive (+LR) and negative (-LR) likelihood ratios. The subjective perception of objective risks is calculated from the same 2 x 2 tables by exchanging the X- and Y-axes. The traditional 2 x 2 table starts with the hypothesis, uses a test and a gold standard to confirm or exclude the investigated condition. The 2 x 2 table with inverted axes starts with the communication of a test result and presumes that the communication of bad news (whether right or false) will induce ‘perceived anxiety’ while good news will induce ‘perceived safety’. Two different functions (confirmation and exclusion) of both perceptions (perceived anxiety and safety) can be quantified with those calculations.ResultsThe analysis of six published tests and of one incompletely reported test on COVID- 19 polymerase chain reactions (completed by four assumptions on high and low sensitivities and specificities) demonstrated that none of these tests induces ‘perceived safety’. Eight of the ten tests confirmed the induction of perceived anxiety with +LRs (range 3.1 – 5900). In two of these eight tests a -LR (0.25 and 0.004) excluded the induction of perceived safety.ConclusionsCommunication of test results caused perceived anxiety but not perceived safety in 80% of the investigated tests. Medical tests – whether right or false – generate strong psychological messages. In the case of COVID-19 tests may induce more perceived anxiety than safety.

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Ökonomisierung oder Kommerzialisierung der Gesundheitsversorgung

Porzsolt

2013

Public Health Forum

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EinleitungIm Gesundheitssystem ist zwischen Ökonomisierung, d.h. dem Abwägen zwischen Aufwand und Ertrag, und der Kommerzialisierung, d.h. dem Streben nach Gewinn zu unterscheiden. Die Ökonomisierung dient der Optimierung der Ergebnisse für die Patienten, die Kommerzialisierung der Optimierung der Ergebnisse für alle anderen Akteure des Systems oder deren Unternehmen. Jeder Akteur im Gesundheitssystem verfolgt primäre und sekundäre Ziele. Interessenskonflikte entstehen, wenn primäre und sekundäre Ziele vertauscht werden. Deshalb sind die von den Akteuren genannten und die von den Patienten empfundenen Ziele gegeneinander abzuwägen.

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The risks of information in health care: do we need a new decision aid?

Cited by 3 publications

References 18 publications

Covid-19 pandemic lessons: uncritical communication of test results can induce more harm than benefit and raises questions on standardized quality criteria for communication and liability

Covid-19 pandemic lessons: uncritical communication of test results can induce more harm than benefit and raises questions on standardized quality criteria for communication and liability

Covid-19 pandemic lessons: Uncritical communication of test results can induce more harm than benefit and raises questions on standardized quality criteria for communication and liability

Ökonomisierung oder Kommerzialisierung der Gesundheitsversorgung

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