Evidence map›Paper›PMID 30294396›Full record

ArticleEuropean geriatric medicine2018

Risk factors for hospital readmission among Swedish older adults.

Jenny Hallgren, Anna K Dahl Aslan

Abstract read
In one paragraph

Article in European geriatric medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
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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

2 authors.

Jenny HallgrenInstitute of Gerontology, School of Health and Welfare, Jönköping University, 551 11, Jönköping, Sweden. jenny.hallgren@ju.se.
Anna K Dahl AslanInstitute of Gerontology, School of Health and Welfare, Jönköping University, 551 11, Jönköping, Sweden.

Funding

GENETIC &ENVIRONMENTAL INFLUENCES--BIOBEHAVIORAL AGINGR01AG010175 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 1992 to 2006
$2.8M
NIA NIH HHS R01 AG010175
6 · The paper itself

Abstract

introductionHospital readmissions of older persons are common and often associated with complex health problems. The objectives were to analyze risk factors for readmission within 30 days from hospital discharge.

methodsA prospective study with a multifactorial approach based on the population-based longitudinal Swedish Adoption/Twin Study of Aging (SATSA) was conducted. During 9 years of follow-up, information on hospitalizations, readmissions and associated diagnoses were obtained from national registers. Logistic regression models controlling for age and sex were conducted to analyze risk factors for readmissions.

resultsOf the 772 participants, [mean age 69.7 (± 11.1), 84 (63%)] were hospitalized and among these 208 (43%) had one or several readmissions within 30 days during the follow-up period. Most of the readmissions (57%) occurred within the first week; mean days from hospital discharge to readmission was 7.9 (± 6.2). The most common causes of admission and readmission were cardiovascular diseases and tumors. Only 8% of the readmissions were regarded as avoidable admissions. In a multivariate logistic regression, falling within the last 12 months (OR 0.57,

conclusionsMost older persons that are readmitted return to hospital within the first week after discharge. Experiencing a fall was a particular risk factor of readmission. Preventive actions should preferably take place already at the hospital to reduce the numbers of readmission. Still, it should be remembered that most readmissions were considered to be necessary.

Indexed as

FallsLogistic regressionOlder personsProspective designReadmission

Identifiers

PMID30294396
PMCPMC6153697

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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.