Evidence map›Paper›PMID 41507995›Full record

ArticleBMC health services research2026

Digital and data capabilities for sexual and reproductive health: a participatory interdisciplinary approach to workforce transformation.

Samantha Mannix, Kath Albury

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Samantha Mannix *Department of Media and Communication/ARC Centre of Excellence for Automated Decision-Making and Society, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia.ORCID http://orcid.org/0000-0002-3484-8187
Kath Albury *Department of Media and Communication/ARC Centre of Excellence for Automated Decision-Making and Society, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia. Kalbury@swin.edu.au.ORCID http://orcid.org/0000-0001-9043-8126

Funding

Australian Research Council FT210100085, CE200100005
6 · The paper itself

Abstract

backgroundDigital 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.

methodsThe 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).

resultsParticipants 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.

conclusionsThe 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.

Indexed as

Reproductive HealthSexual HealthCapacity BuildingDigital HealthHumansCapacity buildingData managementDigital healthHealth workforceOrganizational policyReproductive healthSexual health

Identifiers

PMID41507995
PMCPMC12882216

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.