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Digital and data capabilities for sexual and reproductive health: a participatory interdisciplinary approach to
Samantha Mannix1, Kath Albury2
1Department of Media and Communication/ARC Centre of Excellence for Automated Decision-Making and Society, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia.
Background:
Digital and data practices present specific challenges for the fields of sexual and reproductive health, intersecting with both social and commercial determinants of health. As services are digitised there is an increased risk of exclusion for sexual and reproductive health consumers who already experience stigma, disadvantage and marginalisation. To date, there has been little targeted practical guidance for sexual and reproductive health practitioners and organisations seeking to strategically engage with digital transformation. This paper introduces the Digital and Data Capability for Sexual and Reproductive Health (DDCSRH) Models and knowledge translation website - a suite of resources designed to support workforce capability building.
Methods:
The study adopts an interdisciplinary approach to participatory research, drawing on in media and communication, data studies, public health, and adult education theory and practice. The four-year iterative program of research included narrative literature review, key informant interviews with experienced practitioners and academics (n = 25); and participatory workshops and interviews with sexual and reproductive health practitioners (n = 18) and health consumers (n = 32). A qualitative critical construct validation approach tested the practical relevance of the Models and associated outputs, via a final round of participatory workshops with health practitioners (n = 34).
Results:
Participants described challenges associated with digital and data access and infrastructure; gaps in existing skills and training; misguided assumptions about younger staff's capabilities as 'digital natives', and ad-hoc governance procedures. The DDCSRH Models and associated resources were subsequently designed to support evidence-based capability-building, with particular attention to practitioner concerns. However, some participants - particularly those aged 18-29 - identified a need for additional systemic support to implement the Models in their workplace. Future research is needed to tailor resources for specific disciplines.
Conclusions:
The Digital and Data Capability Models and associated resources respond to stated workforce needs and challenges, promoting a shared vocabulary and conceptual framework to support strategic engagement with current and emergent digital and data technologies, policies and practice.
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