Evidence map›Paper›PMID 40254305›Full record

ArticleBMJ open2025

Protocol of the pilot study to test and evaluate the iCARE tool: a machine learning-based e-platform tool to make health prognoses and support decision-making for the care of older persons with complex chronic conditions.

Anna-Maria Hiltunen, Ira Haavisto, Mikko Nuutinen, Mari Lahelma, Anna Salminen, Johanna de Almeida Mello, Rosa Liperoti, Elizabeth P Howard, Daniela Fialová, Katarzyna Szczerbińska and 9 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. 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

19 authors.

Anna-Maria HiltunenNordic Healthcare Group, Helsinki, Finland.
Ira HaavistoNordic Healthcare Group, Helsinki, Finland.
Mikko NuutinenNordic Healthcare Group, Helsinki, Finland.
Mari LahelmaNordic Healthcare Group, Helsinki, Finland.
Anna SalminenNordic Healthcare Group, Helsinki, Finland.
Johanna de Almeida MelloLUCAS, Center for Care Research and Consultancy, KU Leuven, Leuven, Flanders, Belgium johanna.mello@kuleuven.be.ORCID http://orcid.org/0000-0002-1262-318X
Rosa LiperotiFondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Lazio, Italy.
Elizabeth P HowardThe Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife Institute for Aging Research, Boston, Massachusetts, USA.
Daniela FialováDepartment of Social and Clinical Pharmacy, Faculty of Pharmacy, Charles University, Hradec Králové, 57, Czech Republic.ORCID http://orcid.org/0000-0001-5638-9690
Katarzyna SzczerbińskaLaboratory for Research on Aging Society, Chair of Epidemiology and Preventive Medicine, Medical Faculty, Jagiellonian University Medical College, Kraków, Poland.ORCID http://orcid.org/0000-0002-0004-3858
Mor AlonProfility Inc, Checker Software Solutions, Haifa, Israel.
Ilona BarańskaLaboratory for Research on Aging Society, Chair of Epidemiology and Preventive Medicine, Medical Faculty, Jagiellonian University Medical College, Kraków, Poland.ORCID http://orcid.org/0000-0001-5709-099X
Collin ExmannDepartment of General Practice, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0009-0002-1007-7282
Anja DeclercqLUCAS, Center for Care Research and Consultancy, KU Leuven, Leuven, Flanders, Belgium.
Wiebe BoorsmaDepartment of General Practice, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Graziano OnderFondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Lazio, Italy.
Hein P J van HoutDepartment of General Practice, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-2495-4808
Riikka-Leena LeskeläNordic Healthcare Group, Helsinki, Finland.ORCID http://orcid.org/0000-0002-9255-2958
I-CARE4OLD Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe provision of optimal care for older adults with complex chronic conditions (CCCs) poses significant challenges due to the interplay of multiple medical, pharmacological, functional and psychosocial factors. To address these challenges, the I-CARE4OLD project, funded by the EU-Horizon 2020 programme, developed an advanced clinical decision support tool-the iCARE tool-leveraging large longitudinal data from millions of home care and nursing home recipients across eight countries. The tool uses machine learning techniques applied to data from interRAI assessments, enriched with registry data, to predict health trajectories and evaluate pharmacological and non-pharmacological interventions. This study aims to pilot the iCARE tool and assess its feasibility, usability and impact on clinical decision-making among healthcare professionals. METHODS AND ANALYSIS: A minimum of 20 participants from each of the seven countries (Italy, Belgium, the Netherlands, Poland, Finland, Czechia and the USA) participated in the study. Participants were general practitioners, geriatricians and other medical specialists, nurses, physiotherapists and other healthcare providers involved in the care of older adults with CCC. The study design involved pre-surveys and post-surveys, tool testing with hypothetical patient cases and evaluations of predictions and treatment recommendations. Two pilot modalities-decision loop and non-decision loop-were implemented to assess the effect of the iCARE tool on clinical decisions. Descriptive statistics and bivariate and multivariate analysis will be conducted. All notes and text field data will be translated into English, and a thematic analysis will be performed. The pilot testing started in September 2024, and data collection ended in January 2025. At the time this protocol was submitted for publication, data collection was complete but data analysis had not yet begun. ETHICS AND DISSEMINATION: Ethical approvals were granted in each participating country before the start of the pilot. All participants gave informed consent to participate in the study. The results of the study will be published in peer-reviewed journals and disseminated during national and international scientific and professional conferences and meetings. Stakeholders will also be informed via the project website and social media, and through targeted methods such as webinars, factsheets and (feedback) workshops. The I-CARE4OLD consortium will strive to publish as much as possible open access, including analytical scripts. Databases will not become publicly available, but the data sets used and/or analysed as part of the project can be made available on reasonable request and with the permission of the I-CARE4OLD consortium.

Indexed as

Clinical Decision-MakingDecision Support Systems, ClinicalMachine LearningAgedChronic DiseaseHumansPilot ProjectsPrognosisAgedChronic DiseaseClinical Decision-MakingDigital TechnologyGERIATRIC MEDICINE

Identifiers

PMID40254305
PMCPMC12010281

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.