Evidence map›Paper›PMID 40837872›Full record

ArticleFrontiers in aging2025

Association between care complexity individual factors and older inpatients with COVID-19: a cross-sectional study.

Jordi Adamuz, Julia González-Vaca, Maribel González-Samartino, María-Magdalena López-Jiménez, Andrea Urbina, Oliver Polushkina-Merchanskaya, Sergio Alonso-Fernández, Silvia Esteban-Sepúlveda, Sergio Barrientos-Trigo, Maria-Eulàlia Juvé-Udina

Abstract read
In one paragraph

Article in Frontiers in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jordi AdamuzNursing Knowledge Management and Information Systems Department, Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain.
Julia González-VacaFaculty of Nursing, University of Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain.
Maribel González-SamartinoNursing Knowledge Management and Information Systems Department, Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain.
María-Magdalena López-JiménezNursing Knowledge Management and Information Systems Department, Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain.
Andrea UrbinaNursing Knowledge Management and Information Systems Department, Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain.
Oliver Polushkina-MerchanskayaBellvitge Institute of Biomedical Research (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
Sergio Alonso-FernándezFaculty of Nursing, University of Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain.
Silvia Esteban-SepúlvedaFaculty of Nursing, University of Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain.
Sergio Barrientos-TrigoNursing Department, University of Seville, Seville, Spain.
Maria-Eulàlia Juvé-UdinaBellvitge Institute of Biomedical Research (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many elderly people required hospitalization during the pandemic period, but broader care complexity factors have not been studied in this population. This study aimed to identify the care complexity factors according to age in older people hospitalized with COVID-19. Methods: A multicenter cross-sectional study was conducted from 1 March 2020 to 31 March 2022 at eight public hospitals in Spain. All older patients hospitalized with COVID-19 were classified in the following groups: young-old (65-74 years), middle-old (75-84 years), and oldest-old (≥85 years). The main variable was care complexity individual factors (CCIFs), which included 27 CCIFs classified in four domains: comorbidity/complications, psycho-emotional, mental-cognitive, and sociocultural. Multinomial logistic regressions were performed to identify the association of each CCIFs with age group. Results: A total of 5,658 admissions were included. Of these, 46.3% were young-old (65-74 years), 34.8% middle-old (75-84 years) and 18.8% oldest-old (≥85 years). The analysis shows that middle-old (75-84 years) patients were associated with chronic disease, position impairment, urinary or fecal incontinence, anatomical and functional disorders, vascular fragility, involuntary movements, fear or anxiety and mental status impairments. Extreme weight, communication disorders, aggressive behavior, agitation and perception reality disorders were additional factors associated with the oldest-old (≥85 years) inpatients with COVID-19. The median number of CCIFs was higher in the oldest-old than in the other age groups (four in young-old [65-74 years]; six in middle-old [75-84 years]; seven in oldest-old [≥85 years] [OR:2.9; 95%CI:2.8-3.1; p < 0.001]). Conclusion: The oldest groups of patients (≥75 years) admitted with COVID-19 had more CCIFs than the young-old group. CCIFs should be included in patient assessment in order to identify care needs in older hospitalized patients.

Indexed as

care complexityCOVID-19hospitalizationolder adultspatient assessment

Identifiers

PMID40837872
PMCPMC12361132

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.