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RESEARCH ARTICLE (Open Access)

Developing a screening tool to recognise social determinants of health in Australian clinical settings

Kathryn Browne-Yung A * , Toby Freeman A , Malcolm Battersby B , Doug McEvoy C and Fran Baum A
+ Author Affiliations
- Author Affiliations

A Southgate Institute for Health, Society and Equity, Flinders University, Adelaide, South Australia

B Flinders Human Behaviour and Health Research Unit, Flinders University, Adelaide, South Australia

C Adelaide Institute for Sleep Health, Repatriation General Hospital, South Australia


Public Health Research and Practice 29, e28341813 https://doi.org/10.17061/phrp28341813
Published: 4 December 2019

Abstract

Objective and importance of study:The importance of social determinants for individual health recovery outcomes is well recognised in public health. However, no succinct social health screening (SHS) tool exists that has been developed with information from clinicians and patients. This proof-of-concept study asked health consumer advocates, patients and clinicians about their attitudes towards social determinants of health (SDH) and the usefulness of an SHS tool for collecting these data for use in clinical settings. We then developed a streamlined SHS tool to bring this knowledge to clinicians, and conducted a proof-of-concept trial to check its acceptability with patients and clinicians. Methods: This qualitative study had two stages. Stage 1 involved focus groups with health consumer advocates and interviews with clinicians about the draft SHS tool. Stage 2 involved refining the SHS tool and piloting it with 50 new patients in anxiety disorder and sleep disorder clinics, which often treat patients living in disadvantaged socio-economic conditions. The tool was evaluated by patients and clinicians. The data were analysed using framework analysis. Results: All interviewees were positive about the benefits of addressing SDH in clinical practice to help reduce health inequities. We developed and refined an SHS tool that could be completed by patients (‘self-complete’). Conclusion: The response to introducing an SHS tool in clinical settings was positive. Further piloting across diverse clinical settings is required to determine efficacy. This tool promotes public health equity outcomes by improving clinician understanding of individual social circumstances, and has the potential to provide useful epidemiological data on SDH.

2019 © Browne-Yung et al. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Licence, which allows others to redistribute, adapt and share this work non-commercially provided they attribute the work and any adapted version of it is distributed under the same Creative Commons licence terms.