Collaborative, mixed-methods, strengths-based approaches to evaluating systems change in an Indigenous Primary Care Service /
In this case study, we explore lessons learned in collaboratively designing a mixed-methods, strengths-based evaluation study with an Indigenous Primary Care Service in New South Wales, Australia. The goal of the study was to document a multi-faceted systems change in a way that was meaningful and a...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications Ltd,
2024.
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| Series: | SAGE research methods. Cases
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | In this case study, we explore lessons learned in collaboratively designing a mixed-methods, strengths-based evaluation study with an Indigenous Primary Care Service in New South Wales, Australia. The goal of the study was to document a multi-faceted systems change in a way that was meaningful and appropriate. The study was focused on increasing sexually transmitted infections (STI) testing among Indigenous young people aged 15-29, in response to a multi-jurisdictional syphilis outbreak disproportionately affecting remote Indigenous communities, and young people in particular. We worked with the staff at the health service to co-create an intervention that we describe here as a "systems change." Both the design and evaluation phases explicitly adopted a strengths-based approach. Our aim in discussing our insights from this study is to illustrate the challenges and benefits of taking this approach to community-run health service evaluations, particularly in contexts that impact on Indigenous communities or other historically marginalised populations. Throughout the case study, we reflect on our learning process during the design and evaluation of the systems change. This includes reflecting on the choices made in adopting an explanatory sequential mixed-methods design and integrating quantitative analysis of patient medical data using Interrupted Time Series analysis with qualitative analysis of interview data underpinned by Normalization Process Theory. |
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| Physical Description: | 1 online resource : illustrations. |
| ISBN: | 9781529684384 1529684382 |