962
Views
4
CrossRef citations to date
0
Altmetric
Original Article

Intentional strengths interviewing in occupational justice research

ORCID Icon & ORCID Icon
Pages 52-60 | Received 01 Aug 2016, Accepted 08 Apr 2017, Published online: 02 May 2017
 

Abstract

Background: Occupational justice research can generate knowledge about societal conditions that support participation in meaningful occupations. This is useful because occupational therapy’s human rights goal is to create societal conditions that are conducive to occupational engagement. Participants in this research field are likely to be vulnerable and need special ethical considerations. However, no model exists to support ethical considerations for vulnerable participants in occupational justice research.

Aim: This study aimed to develop a model for additional ethical considerations for occupational justice research with vulnerable participants.

Materials and methods: A secondary analysis was carried out on data from a previous study with asylum seekers. Data included semi-structured interview transcripts with seven asylum seekers, researcher memos, and text from the researcher’s written report. Template analysis was employed.

Results: The Intentional Strengths Interviewing model was developed. It has three component strategies: strengths-informed interview processes, strengths questioning, and strengths responding.

Conclusion and significance: This model might be considered in the design of future occupational justice research involving vulnerable participants in order to best support their inclusion. This model might support future occupational justice research and might be evaluated in other contexts.

Disclosure statement

The authors declares that there is no conflict of interest.

Research ethics

Ethics review approved by the University of Queensland Human Ethics Office. Reference number: #2016000037.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.