Evidence map›Paper›PMID 42839374›Full record

ArticleHealth promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals2026

Building Graduate Capabilities Through a Course-Wide Public Health and Health Promotion ECHA AI Curriculum Framework.

Sarah Turner, Sara Dingle, Melissa Ensink, Emily Tomlinson, Tristan Duncan, Carah Figueroa, Shane Kavanagh

Abstract read
In one paragraph

Article in Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Building Graduate Capabilities Through a Course-Wide Public Health and Health Promotion ECHA AI Curriculum Framework.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
    Article
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

7 authors.

Sarah TurnerSchool of Health and Social Development, Faculty of Health, Deakin University, Geelong, Australia.ORCID https://orcid.org/0009-0009-9267-4064
Sara DingleDeakin Learning Futures, Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0003-0756-1444
Melissa EnsinkSchool of Health and Social Development, Faculty of Health, Deakin University, Geelong, Australia.ORCID https://orcid.org/0009-0008-4836-431X
Emily TomlinsonInstitute for Health Transformation, Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0002-8361-4774
Tristan DuncanSchool of Health and Social Development, Faculty of Health, Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0001-9804-9301
Carah FigueroaSchool of Health and Social Development, Faculty of Health, Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0002-8825-7796
Shane KavanaghSchool of Health and Social Development, Faculty of Health, Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0003-0961-7659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

issue addressedArtificial intelligence (AI) is transforming public health and health promotion (PHHP) practice, creating a need for graduates who can use AI ethically, critically and effectively. Although AI is increasingly being incorporated into higher education, the focus has been on individual units or assessment tasks, with limited guidance available for embedding AI capabilities across entire courses. This study responded to this gap by developing a curriculum framework for integrating AI capability across postgraduate PHHP programmes.

methodsAn iterative co-design approach was undertaken within a large Australian university to develop an AI curriculum framework for the Master of Public Health and Master of Health Promotion programmes. The framework was informed by competency-based education and integrated curriculum design principles. It was also aligned with local institutional AI principles and mapped to international accrediting competencies.

resultsThe resulting 'ECHA' framework comprises four principles: Ethical and Responsible Use of AI; Critical Appraisal; Human-Centred Decision-Making and Professional Judgement; and Applied AI Literacy and Safe Practice in PHHP. Each principle is accompanied by discipline-specific learning outcomes, curriculum content and core graduate skills.

conclusionsThe new framework offers a practical, programme-wide model for integrating AI capability into postgraduate PHHP education. Embedding AI within existing professional competency frameworks supports coherent curriculum design while preserving the human-centred values underpinning professional practice. SO WHAT?: This paper provides a coordinated, competency-informed approach to course-wide AI curriculum design, intended to assist universities in preparing PHHP graduates to use AI ethically, critically and responsibly.

Indexed as

Artificial IntelligenceCurriculumEducation, GraduateHealth PromotionPublic HealthAustraliaCompetency-Based EducationHumansAI frameworkartificial intelligencehealth promotionhigher educationpostgraduate studiespublic health

Identifiers

PMID42839374
PMCPMC13643032

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.