Evidence map›Paper›PMID 35586038›Full record

ReviewJournal of multimorbidity and comorbidity2022

Definition of patient complexity in adults: A narrative review.

Stefanie Nicolaus, Baptiste Crelier, Jacques D Donzé, Carole E Aubert

Abstract readReview
In one paragraph

Review in Journal of multimorbidity and comorbidity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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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

4 authors.

Stefanie NicolausDepartment of General Internal Medicine, Biel Hospital, Biel, Switzerland.
Baptiste CrelierDepartment of General Internal Medicine, Bern University Hospital, Inselspital, University of Bern, Inselspital, Bern, Switzerland.
Jacques D DonzéDepartment of Medicine, Neuchâtel Hospital Network, Neuchâtel, Switzerland.
Carole E AubertDepartment of General Internal Medicine, Bern University Hospital, Inselspital, University of Bern, Inselspital, Bern, Switzerland.ORCID https://orcid.org/0000-0001-8325-8784

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Better identification of complex patients could help to improve their care. However, the definition of patient complexity itself is far from obvious. We conducted a narrative review to identify, describe, and synthesize the definitions of patient complexity used in the last 25 years. Methods: We searched PubMed for articles published in English between January 1995 and September 2020, defining patient complexity. We extended the search to the references of the included articles. We assessed the domains presented in the definitions, and classified the definitions as based on (1) medical aspects (e.g., number of conditions) or (2) medical and/or non-medical aspects (e.g., socio-economic status). We assessed whether the definition was based on a tool (e.g., index) or conceptual model. Results: Among 83 articles, there was marked heterogeneity in the patient complexity definitions. Domains contributing to complexity included health, demographics, behavior, socio-economic factors, healthcare system, medical decision-making, and environment. Patient complexity was defined according to medical aspects in 30 (36.1%) articles, and to medical and/or non-medical aspects in 53 (63.9%) articles. A tool was used in 36 (43.4%) articles, and a conceptual model in seven (8.4%) articles. Conclusion: A consensus concerning the definition of patient complexity was lacking. Most definitions incorporated non-medical factors in the definition, underlining the importance of accounting not only for medical but also for non-medical aspects, as well as for their interrelationship.

Indexed as

complexcomplexitymultimorbiditypatient complexity

Identifiers

PMID35586038
PMCPMC9106317

What OpenQuestion holds

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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.