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. https://doi.org/10.1080/13691457.2020.1772728
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)https://doi.org/10.1080/13691457.2020.1772728
Publication dates
Online11 Jun 2020
Publication process dates
Accepted08 Jun 2020
Deposited15 Jun 2020
Accepted author manuscript
License
File Access Level
Open
Additional information

This is an Accepted Manuscript of an article published by Taylor & Francis in European Journal of Social Work on 11/06/2021, available online: http://www.tandfonline.com/10.1080/13691457.2020.1772728

Page range1-14
Permalink -

https://openresearch.lsbu.ac.uk/item/89z31

Download files


Accepted author manuscript
FINAL FINAL D R stats EJSW 2020.docx
License: CC BY 4.0
File access level: Open

  • 108
    total views
  • 143
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

Using Artificial Intelligence to Identify Perpetrators of Technology Facilitated Coercive Control.
Havard, T., Nnamokon N, Magill, C., Demeocq C, Procter J, Harvey, D. and Bettinson V (2022). Using Artificial Intelligence to Identify Perpetrators of Technology Facilitated Coercive Control. London Home Office.
Evaluation of the Lewisham Trauma Informed Group Work Programme
Whittaker, A., Harvey, D. and Shepherd, B. (2021). Evaluation of the Lewisham Trauma Informed Group Work Programme. London London South Bank University. https://doi.org/10.13140/RG.2.2.31817.67689
Evaluation of a liaison and diversion Court Mental Health Service for defendants with neurodevelopmental disorders.
Chaplin, E., McCarthy, J., Marshall-Tate, K., Ali, S., Xenitidis, K., Childs, J., Harvey, D., McKinnon, I., Robinson, Louise, Hardy, S., Srivastava, Samir, Allely, Clare S, Tolchard, Barry and Forrester, Andrew (2021). Evaluation of a liaison and diversion Court Mental Health Service for defendants with neurodevelopmental disorders. Research in Developmental Disabilities. 119, p. 104103. https://doi.org/10.1016/j.ridd.2021.104103
How can we help novice child protection social workers to see situations like experienced practitioners? A randomised controlled trial evaluation of the ShadowBox™ method using pre-recorded video feedback
Whittaker, A., Moser, K., Harvey, D. and Brand, M. (2021). How can we help novice child protection social workers to see situations like experienced practitioners? A randomised controlled trial evaluation of the ShadowBox™ method using pre-recorded video feedback. Naturalistic Decision Making and Resilience Engineering Symposium 2021. Toulouse, France 20 - 24 Jun 2021 Naturalistic Decision Making.