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Using visualisation methods to analyse referral networks within community health care among patients aged 65 years and over

Palmer, R; Utley, M; Fulop, NJ; O'Connor, S; (2020) Using visualisation methods to analyse referral networks within community health care among patients aged 65 years and over. Health Informatics Journal , 26 (1) pp. 354-375. 10.1177/1460458218824717. Green open access

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Palmer ChainsOfReferralTrip.png - Accepted version

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Palmer MultipleReferrals.png - Accepted version

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Palmer NetworkEx.png - Accepted version

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Palmer Networks.png - Accepted version

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Palmer ReferralsTime2.png - Accepted version

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Palmer SinglePatientExample.png - Accepted version

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Abstract

Community health care services are considered integral to overcoming future problems in health care. However, this sector faces its own challenges, such as how to organise services to provide coordinated care given: their physical distribution, patients using multiple services, increased patient use and differing patient needs. The aim of this work was to explore, analyse and understand patterns in community referrals for patients aged 65 years and over, and their use of multiple services through data visualisation. Working with a large community provider, these methods helped researchers and service managers to investigate questions that were otherwise difficult to answer from raw data. Each map focuses on a different characteristic of community referrals: patients reusing services, concurrent uses of different services and patterns of subsequent referrals. We apply these methods to routine patient data and discuss their implications in designing of a single point of access - a service for streamlining referrals.

Type: Article
Title: Using visualisation methods to analyse referral networks within community health care among patients aged 65 years and over
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1177/1460458218824717
Publisher version: https://doi.org/10.1177/1460458218824717
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Community health care, data visualisation, electronic patient records, network analysis, patient referrals
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Applied Health Research
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics > Clinical Operational Research Unit
URI: https://discovery.ucl.ac.uk/id/eprint/10068563
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