Literature DB >> 31340661

Developing a family resilience assessment tool for health visiting/public health nursing practice using virtual commissioning, high-fidelity simulation and focus groups.

David Pontin1, Michelle Thomas2, Georgina Jones3, Jane O'Kane4, Liz Wilson5, Fran Dale6, Dean Whitcombe7, Carolyn Wallace8.   

Abstract

UK public health nurse assessment of family resilience is a necessary component of monitoring family health and children's development and identifying areas for change. This research was part of an exploration of Welsh public health nurses' understanding of 'family resilience' as a concept underpinning their practice. From it, the Family Resilience Assessment Instrument Tool (FRAITTM www.frait.wales/) was developed for public health nurses use. We report on a virtual commissioning process using focus groups and an immersive simulation suite to test a FRAIT prototype in a safe environment before field testing. Virtual commissioning design: Hydra-Minerva Immersive Simulation Suite - individual public health nurses presented with a multi-media scenario as they used the prototype FRAIT. Follow-up focus groups for usability insights before field testing. Virtual commissioning raised real-world issues which public health nurses discussed in focus groups. Issues were scoring, absence of information, focusing on family resilience, identifying adults caring for children, potential for use, identifying need and monitoring change, potential impact of using FRAIT and fitting it to everyday practice. Prototype testing like this allowed us to fine tune the FRAIT for field testing.

Entities:  

Keywords:  Family resilience assessment; focus groups; high fidelity simulation training; public health nursing/health visiting; virtual commissioning

Mesh:

Year:  2019        PMID: 31340661     DOI: 10.1177/1367493519864743

Source DB:  PubMed          Journal:  J Child Health Care        ISSN: 1367-4935            Impact factor:   1.979


  1 in total

1.  Maternal adverse childhood experiences and their association with preterm birth: secondary analysis of data from universal health visiting.

Authors:  Katie Hardcastle; Kat Ford; Mark A Bellis
Journal:  BMC Pregnancy Childbirth       Date:  2022-02-16       Impact factor: 3.105

  1 in total

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