Evidence map›Paper›PMID 36078315›Full record

ArticleInternational journal of environmental research and public health2022

Social Innovation in Home-Based Eldercare: Strengths and Shortcomings of Integrating Migrant Care Workers into Long-Term Care in Tuscany.

Marlene Seiffarth, Giulia Aureli

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
1.4field-weighted citation impact, top 17% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. Review
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 at 1 institution in 1 country.

Marlene SeiffarthSOCIUM, University of Bremen, 28359 Bremen, Germany.ORCID 0000-0002-5072-3608
Giulia AureliSOCIUM, University of Bremen, 28359 Bremen, Germany.
University of Bremen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Italy is one of the main receiving countries of migrant care workers in Europe. Its migrant-in-the-family model has developed since the 1990s, and, today, home-based eldercare is unimaginable without the work of the almost one million care workers employed in private households, of whom over 75% are migrants. Despite forming one of the most important pillars of eldercare provision in the country, the employment of migrant care workers is not addressed in national policy. However, regional policymaking is far from inactive in the face of growing gaps in care as regions and municipalities play a crucial role in regulating, organising, and providing eldercare. With a focus on comprehensive solutions, cross-sector collaborations, and interactive learning processes, social innovation becomes an important element in reforming eldercare in the context of institutional inertia, fragmentation, and permanent austerity. In what ways are regions using social innovation to respond to challenges in eldercare provision and integrate migrant care workers? This study is based on interviews with experts from the region of Tuscany, which is running the project Pronto Badante (emergency care worker). The results suggest several advantages of local interventions breaking with the institutional silo mentality, as well as ongoing challenges regarding the impact and sustainability of these interventions.

Indexed as

Long-Term CareTransients and MigrantsEuropeFamily CharacteristicsHealth PersonnelHumanshome-based careItalylong-term caremigrant care workerssocial innovationTuscany

Identifiers

PMID36078315
PMCPMC9518404
OpenAlexW4293103927

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.