Evidence map›Paper›PMID 31623664›Full record

ArticleBMC health services research2019

Multimorbidity and healthcare resource utilization in Switzerland: a multicentre cohort study.

Carole E Aubert, Niklaus Fankhauser, Pedro Marques-Vidal, Jérôme Stirnemann, Drahomir Aujesky, Andreas Limacher, Jacques Donzé

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Multimorbidity.Nature reviews. Disease primers · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. 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

7 authors at 3 institutions in 2 countries.

Carole E AubertDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, CH-3010, Bern, Switzerland. caroleelodie.aubert@insel.ch.ORCID http://orcid.org/0000-0001-8325-8784
Niklaus FankhauserCTU, University of Bern, Bern, Switzerland.
Pedro Marques-VidalDepartment of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Jérôme StirnemannDepartment of Internal Medicine, Geneva University Hospitals, Geneva, Switzerland.
Drahomir AujeskyDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, CH-3010, Bern, Switzerland.
Andreas LimacherCTU, University of Bern, Bern, Switzerland.
Jacques DonzéDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, CH-3010, Bern, Switzerland.
University of Bern · CHUniversity Hospital of Geneva · CHUniversity of Lausanne · CH

Funding

Clinical Trials Unit from Bern University NASwiss National Science Foundation NASwiss Society of General Internal Medicine Foundation NA
6 · The paper itself

Abstract

backgroundMultimorbidity is associated with higher healthcare resource utilization, but we lack data on the association of specific combinations of comorbidities with healthcare resource utilization. We aimed to identify the combinations of comorbidities associated with high healthcare resource utilization among multimorbid medical inpatients.

methodsWe performed a multicentre retrospective cohort study including 33,871 multimorbid (≥2 chronic diseases) medical inpatients discharged from three Swiss hospitals in 2010-2011. Healthcare resource utilization was measured as 30-day potentially avoidable readmission (PAR), prolonged length of stay (LOS) and difference in median LOS. We identified the combinations of chronic comorbidities associated with the highest healthcare resource utilization and quantified this association using regression techniques.

resultsThree-fourths of the combinations with the strongest association with PAR included chronic kidney disease. Acute and unspecified renal failure combined with solid malignancy was most strongly associated with PAR (OR 2.64, 95%CI 1.79;3.90). Miscellaneous mental health disorders combined with mood disorders was the most strongly associated with LOS (difference in median LOS: 17 days) and prolonged LOS (OR 10.77, 95%CI 8.38;13.84). The number of chronic diseases was strongly associated with prolonged LOS (OR 9.07, 95%CI 8.04;10.24 for ≥10 chronic diseases), and to a lesser extent with PAR (OR 2.16, 95%CI 1.75;2.65 for ≥10 chronic diseases).

conclusionsMultimorbidity appears to have a higher impact on LOS than on PAR. Combinations of comorbidities most strongly associated with healthcare utilization included kidney disorders for PAR, and mental health disorders for LOS.

Indexed as

MultimorbidityAgedChronic DiseaseFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareRetrospective StudiesSwitzerlandChronic diseasesCombinationsComorbidityHealthcare utilizationLength of stayMultimorbidityPotentially avoidable readmissionReadmission

Identifiers

PMID31623664
PMCPMC6798375
OpenAlexW2980507707

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.