Predictors of Hospital Admissions Based on Routinely Collected Everyday Observations in a Community Care Setting

Mads Nibe Stausholm; Pernille Heyckendorff Secher; Ole Kristian Hejlesen

doi:10.3233/SHTI200441

Predictors of Hospital Admissions Based on Routinely Collected Everyday Observations in a Community Care Setting

Mads Nibe Stausholm, Pernille Heyckendorff Secher, Ole Kristian Hejlesen

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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Abstract

The aim of this study was to identify predictors for hospital admissions in community-dwelling adults based on routinely collected community data. Univariate logistic regression analyses were performed to assess each variable's ability to predict preventable and all cause hospital admissions.

Originalsprog	Engelsk
Titel	Digital Personalized Health and Medicine
Antal sider	2
Vol/bind	270
Forlag	IOS Press
Publikationsdato	16 jun. 2020
Sider	1359-1360
ISBN (Trykt)	978-1-64368-082-8
ISBN (Elektronisk)	978-1-64368-083-5
DOI	https://doi.org/10.3233/SHTI200441
Status	Udgivet - 16 jun. 2020
Begivenhed	Medical Informatics Europe Conference (MIE) - Geneve, Schweiz Varighed: 28 apr. 2019 → 1 maj 2019 Konferencens nummer: 30

Konference

Konference	Medical Informatics Europe Conference (MIE)
Nummer	30
Land/Område	Schweiz
By	Geneve
Periode	28/04/2019 → 01/05/2019

Navn	Studies in Health Technology and Informatics
Vol/bind	270
ISSN	0926-9630

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10.3233/SHTI200441Licens: CC BY-NC 4.0

Open Access articleForlagets udgivne version, 147 KBLicens: CC BY-NC 4.0

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Citationsformater

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author = "Stausholm, {Mads Nibe} and Secher, {Pernille Heyckendorff} and Hejlesen, {Ole Kristian}",

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Stausholm, MN, Secher, PH & Hejlesen, OK 2020, Predictors of Hospital Admissions Based on Routinely Collected Everyday Observations in a Community Care Setting. i Digital Personalized Health and Medicine. bind 270, IOS Press, Studies in Health Technology and Informatics , bind 270, s. 1359-1360, Medical Informatics Europe Conference (MIE), Geneve, Schweiz, 28/04/2019. https://doi.org/10.3233/SHTI200441

Predictors of Hospital Admissions Based on Routinely Collected Everyday Observations in a Community Care Setting. / Stausholm, Mads Nibe; Secher, Pernille Heyckendorff; Hejlesen, Ole Kristian.
Digital Personalized Health and Medicine. Bind 270 IOS Press, 2020. s. 1359-1360 (Studies in Health Technology and Informatics , Bind 270).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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T1 - Predictors of Hospital Admissions Based on Routinely Collected Everyday Observations in a Community Care Setting

AU - Stausholm, Mads Nibe

AU - Secher, Pernille Heyckendorff

AU - Hejlesen, Ole Kristian

N1 - Conference code: 30

PY - 2020/6/16

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N2 - The aim of this study was to identify predictors for hospital admissions in community-dwelling adults based on routinely collected community data. Univariate logistic regression analyses were performed to assess each variable's ability to predict preventable and all cause hospital admissions.

AB - The aim of this study was to identify predictors for hospital admissions in community-dwelling adults based on routinely collected community data. Univariate logistic regression analyses were performed to assess each variable's ability to predict preventable and all cause hospital admissions.

KW - Prediction

KW - elderly

KW - home care

KW - hospital admission

KW - primary health care

UR - http://www.scopus.com/inward/record.url?scp=85086928693&partnerID=8YFLogxK

U2 - 10.3233/SHTI200441

DO - 10.3233/SHTI200441

M3 - Article in proceeding

C2 - 32570658

SN - 978-1-64368-082-8

VL - 270

T3 - Studies in Health Technology and Informatics

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PB - IOS Press

T2 - Medical Informatics Europe Conference (MIE)

Y2 - 28 April 2019 through 1 May 2019

ER -

Predictors of Hospital Admissions Based on Routinely Collected Everyday Observations in a Community Care Setting

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