Using risk factor statistics in decision-making: prospects and challenges

Journal article


Søbjerg, LM, Taylor, BJ, Przeperski, J, Horvat, S, Nouman, H and Harvey, D (2020). Using risk factor statistics in decision-making: prospects and challenges. European Journal of Social Work.
AuthorsSøbjerg, LM, Taylor, BJ, Przeperski, J, Horvat, S, Nouman, H and Harvey, D
Abstract

This is an Accepted Manuscript of an article published by Taylor & Francis in the European Journal of Social Work on 11 June 2020, available online: http://www.tandfonline.com/10.1080/13691457.2020.1772728

Society expects social workers and other professionals to use the best available knowledge in making decisions. Statistical (numerical) data is rapidly becoming an increasing part of the repertoire of knowledge available to professionals. However, social workers can at times seem reluctant to use statistics to inform their judgement processes when considering the assessment and seriousness of risk factors. This paper explores and considers the potential use of statistical methods in understanding risk factors. Potentials of using statistics include reducing variability in human judgements, increasing accuracy and reducing human bias. When contemplating these potentials, it is important to consider ethical, legal and organizational as well as technical issues. Acknowledging that potentials and challenges need to be weighed, it is imperative that the profession engages in the development of adequate statistical methods to improve the knowledge and skill base for social work in the best interests of clients and families.

KeywordsDecision-making; decision support systems; risk assessment; risk factors; statistics
Year2020
JournalEuropean Journal of Social Work
PublisherInforma UK Limited
ISSN1369-1457
Digital Object Identifier (DOI)doi:10.1080/13691457.2020.1772728
Publication dates
Online11 Jun 2020
Publication process dates
Accepted08 Jun 2020
Deposited15 Jun 2020
Accepted author manuscript
License
CC BY 4.0
File Access Level
Open
Page range1-14
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https://openresearch.lsbu.ac.uk/item/89z31

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Accepted author manuscript

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