Evidence map›Paper›PMID 38200922›Full record

ArticleHealthcare (Basel, Switzerland)2023

Healthcare System Digital Transformation across Four European Countries: A Multiple-Case Study.

Federico Fonda, Alessandro Galazzi, Stefania Chiappinotto, Linda Justi, Morten Sønderskov Frydensberg, Randi Lehmann Boesen, Mirna Macur, Erik Andrés Reig, Elisenda Reixach Espaulella, Alvisa Palese

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Federico FondaDepartment of Medical Science, University of Udine, Viale Ungheria 20, 33100 Udine, Italy.ORCID 0000-0002-3818-9676
Alessandro GalazziDepartment of Medical Science, University of Udine, Viale Ungheria 20, 33100 Udine, Italy.ORCID 0000-0003-0085-7015
Stefania ChiappinottoDepartment of Medical Science, University of Udine, Viale Ungheria 20, 33100 Udine, Italy.ORCID 0000-0003-4829-1831
Linda JustiHealth Innovation Centre of Southern Denmark, Forskerparken 10, 5230 Odense, Denmark.
Morten Sønderskov FrydensbergHealth Innovation Centre of Southern Denmark, Forskerparken 10, 5230 Odense, Denmark.
Randi Lehmann BoesenHealth Innovation Centre of Southern Denmark, Forskerparken 10, 5230 Odense, Denmark.
Mirna MacurAngela Boškin Faculty of Health Care, Spodnji Plavž 3, 4270 Jesenice, Slovenia.
Erik Andrés ReigTIC Salut Social, Carrer de Roc Boronat 81, 08005 Barcelona, Catalonia, Spain.ORCID 0000-0002-9710-0491
Elisenda Reixach EspaulellaTIC Salut Social, Carrer de Roc Boronat 81, 08005 Barcelona, Catalonia, Spain.ORCID 0000-0001-8557-0771
Alvisa PaleseDepartment of Medical Science, University of Udine, Viale Ungheria 20, 33100 Udine, Italy.ORCID 0000-0002-3508-844X

Funding

EU 2020-1-DK01-KA204-075090
6 · The paper itself

Abstract

Digitization has become involved in every aspect of life, including the healthcare sector with its healthcare professionals (HCPs), citizens (patients and their families), and services. This complex process is supported by policies: however, to date, no policy analysis on healthcare digitalization has been conducted in European countries to identify the main goals of digital transformation and its practical implementation. This research aimed to describe and compare the digital health policies across four European countries; namely, their priorities, their implementation in practice, and the digital competencies expected by HCPs. A multiple-case study was performed. Participants were the members of the Digital EducationaL programme invoLVing hEalth profEssionals (DELIVER), a project funded by the European Union under the Erasmus+ programme, involving three countries (Denmark, Italy, and Slovenia) and one autonomous region (Catalonia-Spain). Data were collected using two approaches: (a) a written interview with open-ended questions involving the members of the DELIVER project as key informants; and (b) a policy-document analysis. Interviews were analysed using the textual narrative synthesis and the word cloud policy analysis was conducted according to the Ready, Extract, Analyse and Distil approach. Results showed that all countries had established recent policies at the national level to address the development of digital health and specific governmental bodies were addressing the implementation of the digital transformation with specific ramifications at the regional and local levels. The words "health" and "care" characterized the policy documents of Denmark and Italy (309 and 56 times, 114 and 24 times, respectively), while "development" and "digital" (497 and 478 times, respectively) were common in the Slovenia document. The most used words in the Catalonia policy document were "data" and "system" (570 and 523 times, respectively). The HCP competencies expected are not clearly delineated among countries, and there is no formal plan for their development at the undergraduate, postgraduate, and continuing educational levels. Mutual understanding and exchange of good practices between countries may facilitate the digitalization processes; moreover, concrete actions in the context of HCP migration across Europe for employment purposes, as well as in the context of citizens' migration for healthcare-seeking purposes are needed to consider the differences emerged across the countries.

Indexed as

digital healthdigital transformationEuropemultiple-case studypolicy

Identifiers

PMID38200922
PMCPMC10778608

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.