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Social influence on 5-year survival in a longitudinal chemotherapy ward co-presence network

Published online by Cambridge University Press:  12 July 2017

JEFFREY LIENERT ,
CHRISTOPHER STEVEN MARCUM ,
JOHN FINNEY ,
FELIX REED-TSOCHAS  and
LAURA KOEHLY
JEFFREY LIENERT
Affiliation:
National Human Genome Research Institute, NIH, Bethesda, MD, USA CABDyN Complexity Centre, Saïd Business School, University of Oxford, Oxford, UK (e-mail: jeff.lienert@nih.gov)
CHRISTOPHER STEVEN MARCUM
Affiliation:
National Human Genome Research Institute, NIH, Bethesda, MD, USA (e-mail: chris.marcum@nih.gov)
JOHN FINNEY
Affiliation:
Oxford University Hospitals, National Health Service, Oxford, UK (e-mail: john.finney@ndm.ox.ac.uk)
FELIX REED-TSOCHAS
Affiliation:
CABDyN Complexity Centre, Saïd Business School, University of Oxford, Oxford, UK The Oxford Martin School, University of Oxford, Oxford, UK (e-mail: felix.reed-tsochas@sbs.ox.ac.uk)
LAURA KOEHLY
Affiliation:
National Human Genome Research Institute, NIH, Bethesda, MD, USA (e-mail: koehlyl@mail.nih.gov)
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Abstract

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Chemotherapy is often administered in openly designed hospital wards, where the possibility of patient–patient social influence on health exists. Previous research found that social relationships influence cancer patient's health; however, we have yet to understand social influence among patients receiving chemotherapy in the hospital. We investigate the influence of co-presence in a chemotherapy ward. We use data on 4,691 cancer patients undergoing chemotherapy in Oxfordshire, United Kingdom who average 59.8 years of age, and 44% are Male. We construct a network of patients where edges exist when patients are co-present in the ward, weighted by both patients' time in the ward. Social influence is based on total weighted co-presence with focal patients' immediate neighbors, considering neighbors' 5-year mortality. Generalized estimating equations evaluated the effect of neighbors' 5-year mortality on focal patient's 5-year mortality. Each 1,000-unit increase in weighted co-presence with a patient who dies within 5 years increases a patient's mortality odds by 42% (β = 0.357, CI:0.204,0.510). Each 1,000-unit increase in co-presence with a patient surviving 5 years reduces a patient's odds of dying by 30% (β =−0.344, CI:−0.538,0.149). Our results suggest that social influence occurs in chemotherapy wards, and thus may need to be considered in chemotherapy delivery.

Keywords

medicinepublic healthchemotherapylongitudinal networkcommunal copinggeneralized estimating equationjaccard indexadministrative data
Type
Research Article
Information
Network Science , Volume 5 , Special Issue 3: Networks and Health , September 2017 , pp. 308 - 327
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Cambridge University Press 2017

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