Evidence map›Paper›PMID 34261693›Full record

ArticleBMJ open2021

Risk of 30-day hospital readmission associated with medical conditions and drug regimens of polymedicated, older inpatients discharged home: a registry-based cohort study.

Filipa Pereira, Henk Verloo, Taushanov Zhivko, Saviana Di Giovanni, Carla Meyer-Massetti, Armin von Gunten, Maria Manuela Martins, Boris Wernli

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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  8. Pathophysiological Features in Electronic Medical Records Sustain Model Performance under Temporal Dataset Shift.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
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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

8 authors.

Filipa PereiraInstitute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal filipa.pereira@hevs.ch.ORCID 0000-0001-9207-4856
Henk VerlooSchool of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland.ORCID 0000-0002-5375-3255
Taushanov ZhivkoFaculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland.
Saviana Di GiovanniSchool of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland.
Carla Meyer-MassettiInstitute for Primary Health Care, University of Bern, Bern, Switzerland.
Armin von GuntenService of Old Age Psychiatry, Lausanne University Hospital, Lausanne, Switzerland.
Maria Manuela MartinsInstitute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal.
Boris WernliFORS, Swiss Centre of Expertise in the Social Sciences, University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe present study analysed 4 years of a hospital register (2015-2018) to determine the risk of 30-day hospital readmission associated with the medical conditions and drug regimens of polymedicated, older inpatients discharged home.

designRegistry-based cohort study.

settingValais Hospital-a public general hospital centre in the French-speaking part of Switzerland.

participantsWe explored the electronic records of 20 422 inpatient stays by polymedicated, home-dwelling older adults held in the hospital's patient register. We identified 13 802 hospital readmissions involving 8878 separate patients over 64 years old. OUTCOME MEASURES: Sociodemographic characteristics, medical conditions and drug regimen data associated with risk of readmission within 30 days of discharge.

resultsThe overall 30-day hospital readmission rate was 7.8%. Adjusted multivariate analyses revealed increased risk of hospital readmission for patients with longer hospital length of stay (OR=1.014 per additional day; 95% CI 1.006 to 1.021), impaired mobility (OR=1.218; 95% CI 1.039 to 1.427), multimorbidity (OR=1.419 per additional International Classification of Diseases, 10th Revision condition; 95% CI 1.282 to 1.572), tumorous disease (OR=2.538; 95% CI 2.089 to 3.082), polypharmacy (OR=1.043 per additional drug prescribed; 95% CI 1.028 to 1.058), and certain specific drugs, including antiemetics and antinauseants (OR=3.216 per additional drug unit taken; 95% CI 1.842 to 5.617), antihypertensives (OR=1.771; 95% CI 1.287 to 2.438), drugs for functional gastrointestinal disorders (OR=1.424; 95% CI 1.166 to 1.739), systemic hormonal preparations (OR=1.207; 95% CI 1.052 to 1.385) and vitamins (OR=1.201; 95% CI 1.049 to 1.374), as well as concurrent use of beta-blocking agents and drugs for acid-related disorders (OR=1.367; 95% CI 1.046 to 1.788).

conclusionsThirty-day hospital readmission risk was associated with longer hospital length of stay, health disorders, polypharmacy and drug regimens. The drug regimen patterns increasing the risk of hospital readmission were very heterogeneous. Further research is needed to explore hospital readmissions caused solely by specific drugs and drug-drug interactions.

Indexed as

Patient ReadmissionPharmaceutical PreparationsAgedCohort StudiesHospitalsHumansInpatientsMiddle AgedPatient DischargeRegistriesRetrospective StudiesRisk FactorsSwitzerlandPharmaceutical Preparationsclinical pharmacologyepidemiologygeriatric medicine

Identifiers

PMID34261693
PMCPMC8281082

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.