ArticleBMC nursing2025
Educational needs and barriers in dementia care training for migrant family care assistants in Italy: a qualitative study.
Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundIn Italy, migrant family care assistants (MFCAs) represent the most cost-effective answer to dementia home care need and to desire of ageing in place of older adults and family caregivers. Nevertheless, MFCAs very often have no training in elder care and even less in the dementia care. Conversely, elder care training may improve MFCAs’ working condition and mental health. Exploring MFCAs’ educational needs is one of the objectives of the “Age-It” project, aiming at advancing knowledge and competences on ageing by applying a holistic, interdisciplinary, and problem-solving approach through the synergic work of research and educational institutions, care providers and civil society associations, businesses and industries.
methodsIn Autumn 2023, 25 semi-structured questionnaires, including both closed and open-ended questions, were conducted with MFCAs living in two Italian regions: Marche and Molise. The research material was thematically analysed to answer four research questions: Which is the work experience of MFCAs of older adults with long-term care needs? Which are their educational needs? Which are the barriers to training? Did the emigration geographical area of respondents and the migration route influence their willingness to attend an elder care training?
resultsThree main themes were identified: (1) Migration: a painful choice to flee poor (violent) societies; (2) Elder care: a stressful work; (3) Needs and barriers to elder care education. Most interviewed MFCAs face many difficulties at work, including stress, burden and lack of free time. Many respondents expressed the need and willingness to improve their knowledge on ageing processes, dementia, behavioural disorders, medicine administration, bedsores and injuries medication. The 24 h work represents the main barriers to attend the lessons. DISCUSSION: Suggestions for future trainings include a co-designed curriculum embedding contents on dementia and behavioural disorders; self-care and resilience; host country language. Concerning policy and practice recommendations, mandatory, free and periodic, blended trainings, a clear offer of elder care education, the recognition of previous courses at EU and national level are encouraged.
conclusionsGiven the pivotal role of MFCAs in the LTC in Italy, it is urgent that they are adequately trained. Given the stressful and 24 h work, a co-designed e-learning platform may be a promising means for reaching and training them. CLINICAL TRIAL NUMBER: Not applicable
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.