Evidence map›Paper›PMID 38378482›Full record

Observational studyBMC geriatrics2024

Reasons for hospitalisation and cumulative mortality in people, 75 years or older, at high risk of hospital admission: a prospective study.

Moa Lundgren, Anna Segernäs, Magnus Nord, Jenny Alwin, Johan Lyth

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03180606 (Enhanced Primary Care for Elderly), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.8field-weighted citation impact, top 7% 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.

NCT03180606 completednot on this map

Enhanced Primary Care for Elderly: A Multicenter Pragmatic Clinical Trial Where Older People With Great Needs Are Predicted and Given Personalized Primary Care

TypeobservationalSponsorRegion ÖstergötlandRan2017 to 2019Enrolled1,304ConditionsFrail Elderly SyndromeArmsMulti-disciplinary and personalized primary care
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Moa LundgrenPrimary Health Care Centre Finspång, Finspång, Sweden. moa.lundgren@liu.se.
Anna SegernäsDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Magnus NordDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Jenny AlwinDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Johan LythDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Linköping University · SEPrimary Health Care · QASiemens (Sweden) · SE

Funding

County Council of Östergötland and Linköping University 2016186-14Medical Research Council of Southeastern Sweden FORSS-969444Swedish Research Council (ALF) RÖ-974820
6 · The paper itself

Abstract

backgroundA small proportion of the older population accounts for a high proportion of healthcare use. For effective use of limited healthcare resources, it is important to identify the group with greatest needs. The aim of this study was to explore frequency and reason for hospitalisation and cumulative mortality, in an older population at predicted high risk of hospital admission, and to assess if a prediction model can be used to identify individuals with the greatest healthcare needs. Furthermore, discharge diagnoses were explored to investigate if they can be used as basis for specific interventions in the high-risk group.

methodsAll residents, 75 years or older, living in Östergötland, Sweden, on January 1

resultsForty thousand six hundred eighteen individuals were identified (mean age 82 years, 57.8% women). The cumulative incidence of hospitalisation increased with increasing risk of hospital admission (24% for percentiles < 60 to 66% for percentiles 95-100). The cumulative mortality also increased with increasing risk (7% for percentiles < 60 to 43% for percentiles 95-100). The most frequent primary discharge diagnoses for the population were heart diseases, respiratory infections, and hip injuries. The incidence was significantly higher for heart diseases and respiratory infections and significantly lower for hip injuries, for the population with the highest risk of hospital admission (percentiles 85-100).

conclusionsIndividuals 75 years or older, with high risk of hospital admission, were demonstrated to have considerable higher cumulative mortality as well as incidence of hospitalisation. The results support the use of the prediction model to direct resources towards individuals with highest risk scores, and thus, likely the greatest care needs. There were only small differences in discharge diagnoses between the risk groups, indicating that interventions to reduce hospitalisations should be personalised.

trial registrationclinicaltrials.gov Identifier: NCT03180606, first posted 08/06/2017.

Indexed as

Heart DiseasesHip InjuriesRespiratory Tract InfectionsAgedAged, 80 and overFemaleHospitalizationHospitalsHumansMaleProspective StudiesAgedFrailtyHospital admissionHospitalisationMortalityOlder peoplePrediction model

Identifiers

PMID38378482
PMCPMC10877827
OpenAlexW4391981955

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.