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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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.

Original language	English
Title of host publication	Digital Personalized Health and Medicine
Number of pages	2
Volume	270
Publisher	IOS Press
Publication date	16 Jun 2020
Pages	1359-1360
ISBN (Print)	978-1-64368-082-8
ISBN (Electronic)	978-1-64368-083-5
DOIs	https://doi.org/10.3233/SHTI200441
Publication status	Published - 16 Jun 2020
Event	Medical Informatics Europe Conference (MIE) - Geneve, Switzerland Duration: 28 Apr 2019 → 1 May 2019 Conference number: 30

Conference

Conference	Medical Informatics Europe Conference (MIE)
Number	30
Country/Territory	Switzerland
City	Geneve
Period	28/04/2019 → 01/05/2019

Series	Studies in Health Technology and Informatics
Volume	270
ISSN	0926-9630

Keywords

Prediction
elderly
home care
hospital admission
primary health care

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10.3233/SHTI200441Licence: CC BY-NC 4.0

Open Access articleFinal published version, 147 KBLicence: CC BY-NC 4.0

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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.",

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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. in Digital Personalized Health and Medicine. vol. 270, IOS Press, Studies in Health Technology and Informatics , vol. 270, pp. 1359-1360, Medical Informatics Europe Conference (MIE), Geneve, Switzerland, 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. Vol. 270 IOS Press, 2020. p. 1359-1360 (Studies in Health Technology and Informatics , Vol. 270).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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

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