Literature DB >> 25188819

To admit or not to admit? The effect of framing on risk assessment decision making in psychiatrists.

Kiri Jefferies-Sewell1, Shivani Sharma, Tim M Gale, Chris J Hawley, George J Georgiou, Keith R Laws.   

Abstract

BACKGROUND: The way that information is presented is well known to induce a range of biases in human decision tasks. Little research exists on framing effects in psychiatric decision making, but it is reasonable to assume that psychiatrists are not immune and, if so, there may be implications for the welfare of patients, staff and the general public. AIMS: To investigate whether presentation of risk information in different formats (frequency, percentage and semantic) influences inpatient admission decisions by psychiatrists.
METHODS: Six-hundred seventy-eight general adult psychiatrists read a short clinical vignette presenting a case scenario of a patient presenting for inpatient admission. One of four condition questions followed the vignette, incorporating either numerical or percentage probabilities and the semantic labels "high" and "low" risk. In each condition, the actual risk was identical, but the way it was presented varied. The decision to admit the patient or not was recorded and compared across conditions.
RESULTS: More individuals chose to admit the patient when risk information was presented in numerical form (X2 = 7.43, p = 0.006) and with the semantic label "high" (X2 = 7.27, p = 0.007).
CONCLUSIONS: Presentation of risk information may influence decision making in psychiatrists. This has important implications for mental health clinical practice where clinicians are required to interpret probabilistic information within their daily work.

Entities:  

Keywords:  Admissions; decision making; framing; psychiatry

Mesh:

Year:  2014        PMID: 25188819     DOI: 10.3109/09638237.2014.951477

Source DB:  PubMed          Journal:  J Ment Health        ISSN: 0963-8237


  2 in total

1.  Perception of Suicide Risk in Mental Health Professionals.

Authors:  Tim M Gale; Christopher J Hawley; John Butler; Adrian Morton; Ankush Singhal
Journal:  PLoS One       Date:  2016-02-24       Impact factor: 3.240

2.  COMplex mental health PAThways (COMPAT) Study: A mixed methods study to inform an evidence-based service delivery model for people with complex needs: Study protocol.

Authors:  Pooja Saini; Antony Martin; Jason McIntyre; Anna Balmer; Sam Burton; Hana Roks; Laura Sambrook; Amrith Shetty; Rajan Nathan
Journal:  PLoS One       Date:  2022-03-08       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.