Evidence map›Paper›PMID 37333773›Full record

ArticleInternational journal of integrated care

Data-Driven Collaboration between Hospitals and Other Healthcare Organisations in Europe During the COVID-19 Pandemic: An Explanatory Sequential Mixed-Methods Study among Mid-Level Hospital Managers.

Damir Ivankovic, Pascal Garel, Niek Klazinga, Dionne Kringos

Open access · goldAbstract read
In one paragraph

Article in International journal of integrated care. 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
1.4field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 3 countries.

Damir IvankovicAmsterdam UMC location University of Amsterdam, Department of Public and Occupational Health, Meibergdreef 9, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-3501-5515
Pascal GarelThe European Hospital and Healthcare Federation, Brussels, Belgium.ORCID https://orcid.org/0000-0002-6623-661X
Niek KlazingaAmsterdam UMC location University of Amsterdam, Department of Public and Occupational Health, Meibergdreef 9, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-3937-8014
Dionne KringosAmsterdam UMC location University of Amsterdam, Department of Public and Occupational Health, Meibergdreef 9, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-2711-4713
Amsterdam University Medical Centers · NLDutch Health Care Inspectorate · NLHOPE European Hospital and Healthcare Federation · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Data and digital infrastructure drive collaboration and help develop integrated healthcare systems and services. COVID-19 induced changes to collaboration between healthcare organisations, which previously often happened in fragmented and competitive ways. New collaborative practices relied on data and were crucial in managing coordinated responses to the pandemic. In this study, we explored data-driven collaboration between European hospitals and other healthcare organisations in 2021 by identifying common themes, lessons learned and implications going forward. Methods: Study participants were recruited from an existing Europe-wide community of mid-level hospital managers. For data collection, we ran an online survey, conducted multi-case study interviews and organised webinars. Data were analysed using descriptive statistics, thematic analysis and cross-case synthesis. Results: Mid-level hospital managers from 18 European countries reported an increase in data exchange between healthcare organisations during the COVID-19 pandemic. Data-driven collaborative practices were goal-oriented and focused on the optimisation of hospitals' governance functions, innovation in organisational models and improvements to data infrastructure. This was often made possible by temporarily overcoming system complexities, which would otherwise hinder collaboration and innovation. Sustainability of these developments remains a challenge. Discussion: Mid-level hospital managers form a huge potential of reacting and collaborating when needed, including rapidly setting up novel partnerships and redefining established processes. Major post-COVID unmet medical needs are linked to hospital care provision, including diagnostic and therapeutic backlogs. Tackling these will require rethinking of the position of hospitals within healthcare systems, including their role in care integration. Conclusion: Learning from COVID-19-induced developments in data-driven collaboration between hospitals and other healthcare organisations is important to address systemic barriers, sustain resilience and further build transformative capacity to help build better integrated healthcare systems.

Indexed as

COVID-19data-driven collaborationhospitalsintegrationmid-level hospital management

Identifiers

PMID37333773
PMCPMC10275210
OpenAlexW4380992667

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.