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Updated: Jun 6, 2026

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
Published on: June 6, 2020
Using appreciative inquiry to co-design contextually responsive diagnostic practices for developmental language
Anna Pritchard1, Alexandra Hogan1, Shaun Ziegenfusz2,3
1Northern Territory Health, Darwin, Australia.
Appreciative Inquiry enhanced speech-language pathologists' capacity to co-design culturally responsive diagnostic practices for Developmental Language Disorder (DLD) in Australia's Northern Territory. This inclusive method improved confidence and diagnostic clarity for rural and remote services.
Area of Science:
- Speech-language pathology
- Healthcare innovation
- Cross-cultural communication
Background:
- Developmental Language Disorder (DLD) diagnosis requires culturally and contextually responsive practices, particularly in diverse regions like the Northern Territory.
- Engaging healthcare professionals in co-design is crucial for developing effective and sustainable service improvements.
Purpose of the Study:
- To explore the use of Appreciative Inquiry (AI) to engage speech-language pathologists (SLPs) in co-designing culturally and contextually responsive DLD diagnostic practices.
- To adapt AI methodology for improving healthcare services in rural and remote Australian contexts.
Main Methods:
- Appreciative Inquiry, utilizing the 4D cycle (Discovery, Dream, Design, Destiny) with a "Detour" phase, was delivered over 18 months via online sessions to Northern Territory Health SLPs.
- Participants engaged in collaborative visioning, resource development, and reflection on culturally responsive and linguistically appropriate diagnostic practices.
Main Results:
- A context-specific framework was developed, including guiding principles, contextual considerations, diagnostic resources, and scripts to incorporate child and family perspectives.
- Participants reported increased confidence in applying DLD criteria, enhanced clarity in diagnostic decision-making, and stronger professional connections.
- The AI approach fostered ownership, reduced hierarchical barriers, and produced adaptable outputs for urban, rural, and remote settings.
Conclusions:
- Appreciative Inquiry is a cost-efficient, inclusive, and flexible methodology suitable for enhancing rural and remote healthcare services.
- AI aligns local solutions with organizational priorities, promoting sustainable practice change, collaborative leadership, and culturally responsive DLD diagnosis.
- The study demonstrates AI's potential to improve diagnostic practices and professional collaboration in speech-language pathology within specific cultural and geographical contexts.
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