Evidence map›Paper›PMID 35246423›Full record

ArticleBMJ open2022

Unplanned nursing home admission among discharged polymedicated older inpatients: a single-centre, registry-based study in Switzerland.

Filipa Pereira, Henk Verloo, Armin von Gunten, María Del Río Carral, Carla Meyer-Massetti, Maria Manuela Martins, Boris Wernli

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. 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 6 institutions in 2 countries.

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 Valais Wallis, Sion, Switzerland.ORCID 0000-0002-5375-3255
Armin von GuntenDépartement de Psychiatrie, Centre Hospitalier Universitaire Vaudois, Prilly, Switzerland.
María Del Río CarralInstitute of Psychology, Research Center for the Psychology of Health, Aging and Sports Examination, University of Lausanne, Lausanne, Switzerland.
Carla Meyer-MassettiInstitute for Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.
Maria Manuela MartinsEscola Superior de Enfermagem do Porto, Porto, Portugal.
Boris WernliFORS, Swiss Centre of Expertise in the Social Sciences, University of Lausanne, Lausanne, Switzerland.
University Hospital of Lausanne · CHEscola Superior de Enfermagem do Porto · PTFORS – Swiss Centre of Expertise in the Social Sciences · CHUniversidade do Porto · PTUniversity of Bern · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate patient characteristics and the available health and drug data associated with unplanned nursing home admission following an acute hospital admission or readmission.

designA population-based hospital registry study.

settingA public hospital in southern Switzerland (Valais Hospital).

participantsWe explored a population-based longitudinal dataset of 14 705 hospital admissions from 2015 to 2018. OUTCOME MEASURES: Sociodemographic, health and drug data, and their interactions predicting the risk of unplanned nursing home admission.

resultsThe mean prevalence of unplanned nursing home admission after hospital discharge was 6.1% (n=903/N=14 705). Our predictive analysis revealed that the oldest adults (OR=1.07 for each additional year of age; 95% CI 1.05 to 1.08) presenting with impaired functional mobility (OR=3.22; 95% CI 2.67 to 3.87), dependency in the activities of daily living (OR=4.62; 95% CI 3.76 to 5.67), cognitive impairment (OR=3.75; 95% CI 3.06 to 4.59) and traumatic injuries (OR=1.58; 95% CI 1.25 to 2.01) had a higher probability of unplanned nursing home admission. The number of International Classification of Diseases, 10th version diagnoses had no significant impact on nursing home admissions, contrarily to the number of prescribed drugs (OR=1.17; 95% CI 1.15 to 1.19). Antiemetics/antinauseants (OR=2.53; 95% CI 1.21 to 5.30), digestives (OR=1.78; 95% CI 1.09 to 2.90), psycholeptics (OR=1.76; 95% CI 1.60 to 1.93), antiepileptics (OR=1.49; 95% CI 1.25 to 1.79) and anti-Parkinson's drugs (OR=1.40; 95% CI 1.12 to 1.75) were strongly linked to unplanned nursing home admission.

conclusionsNumerous risk factors for unplanned nursing home admission were identified. To prevent the adverse health outcomes that precipitate acute hospitalisations and unplanned nursing home admissions, ambulatory care providers should consider these risk factors in their care planning for older adults before they reach a state requiring hospitalisation.

Indexed as

Activities of Daily LivingPatient DischargeAgedHospitalizationHumansInpatientsNursing HomesPatient ReadmissionRegistriesRisk FactorsSwitzerlandclinical pharmacologyepidemiologygeriatric medicinehealth informatics

Identifiers

PMID35246423
PMCPMC8900032
OpenAlexW4214909293

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.