Evidence map›Paper›PMID 39493631›Full record

ArticleDigital health

Developing, delivering, and evaluating an online course on socially assistive robots in culturally competent and compassionate healthcare: A sequential multiphase, mixed-method study.

Irena Papadopoulos, Runa Lazzarino

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Irena PapadopoulosSchool of Health and Education, Middlesex University, London, UK.
Runa LazzarinoNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-4206-4913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Artificially intelligent socially assistive robots are a growing technology. There is no evidence-based, theory-informed, open access training targeting health and social care professionals on this advanced technology. This collaborative, international European project - the IENE 10 study - developed, delivered, and evaluated the first Massive Open Online Course on socially assistive robots. Methods: A sequential mixed-method design with five phases: (1) literature review; (2) development of the Transcultural Robotic Nursing curriculum model from the care ethics principles of cultural competence and compassion; (3) development of modules, learning units, and assessments; (4) choice of the digital platform, e-facilitators' training, and definition of the evaluation strategy; (5) recruitment campaign. The methodology was collaborative among the six European partner institutions, who all contributed to each phase, from planning to the outputs. All project outputs and MOOC contents were translated into the four languages of the partners. Results: Training needs identified included: knowledge about social robots' functionality; how to operate them; legal, ethical, and human rights' issues. The course had four modules: Awareness, Knowledge, Sensitivity and Competence, with four learning units each. E-learners ( Conclusions: The IENE 10 project pioneeringly addressed the training needs of health and social care professionals in the era of AI social robots. The collaborative and sequentially phased design proved useful in the integration of a care ethics model. This work reflects the holistic approach needed for preparing professionals for the complexities of contemporary healthcare.

Indexed as

AI socially assistive robotsAI transformationcare ethicscultural competence and compassiondigital health interventioneducation and traininghealth and social care workforceinternational studyMassive Open Online Coursemixed-method

Identifiers

PMID39493631
PMCPMC11528809

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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 OpenQuestion graph.