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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

References

American Joint Committee on Cancer. (2017). AJCC Cancer Staging Manual. Cham, Switzerland: Springer International Publishing.Google Scholar
Armario, A., Ortiz, R., & Balasch, J. (1983). Corticoadrenal and behavioral response to open field in Paris of male rats either familiar or non-familiar to each other. Experientia, 39 (11), 1316–1317.Google Scholar
Beaton, E. A., Schmidt, L. A., Schulkin, J., Antony, M. M., Swinson, R. P., & Hall, G. B. (2008). Different neural responses to stranger and personally familiar faces in shy and bold adults. Behavioral Neuroscience, 122 (3), 704–709.CrossRefGoogle ScholarPubMed
Berg, C. A., Wiebe, D. J., Butner, J., Bloor, L., Bradstreet, C., Upchurch, R., . . . Patton, G. (2008). Collaborative coping and daily mood in couples dealing with prostate cancer. Psychology and Aging, 23 (3), 505–516.CrossRefGoogle ScholarPubMed
Bossard, N., Velten, M., Remontet, L., Belot, A., Maarouf, N., Bouvier, A. M., . . . Faivre, J. (2007). Survival of cancer patients in France: A population-based study from the association of the French cancer registries (FRANCIM). European Journal of Cancer (Oxford, England: 1990), 43 (1), 149–160.CrossRefGoogle Scholar
Cain, E. N., Kohorn, E. I., Quinlan, D. M., Latimer, K., & Schwartz, P. E. (1986). Psychosocial benefits of a cancer support group. Cancer, 57 (1), 183–189.Google Scholar
Christakis, N. A., & Fowler, J. H. (2007). The spread of obesity in a large social network over 32 years. The New England Journal of Medicine, 357 (4), 370–379.Google Scholar
Cobb, S. (1976). Social support as a moderator of life stress. Psychometric Medicine, 38 (5), 300–314.Google Scholar
Cohen, S. (1988). Psychosocial models of the role of social support in the etiology of physical disease. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 7 (3), 269–297.Google Scholar
Coleman, M. P., Forman, D., Bryant, H., Butler, J., Rachet, B., Maringe, C., . . . Richards, M. a. (2011). Cancer survival in Australia, Canada, Denmark, Norway, Sweden, and the UK, 1995–2007 (the International Cancer Benchmarking Partnership): An analysis of population-based cancer registry data. Lancet, 377 (9760), 127–138.CrossRefGoogle ScholarPubMed
Croyle, R. T., & Hunt, J. R. (1991). Coping with health threat: Social influence processes in reactions to medical test results. Journal of Personality and Social Psychology, 60 (3), 382–389.Google Scholar
De La Haye, K., Robins, G., Mohr, P., & Wilson, C. (2011). Homophily and contagion as explanations for weight similarities among adolescent friends. Journal of Adolescent Health, 49 (4), 421–427.Google Scholar
Elwert, F., & Christakis, N. a. (2008). The effect of widowhood on mortality by the causes of death of both spouses. American Journal of Public Health, 98 (11), 2092–2098.Google Scholar
Ernst, D., Pope, C. R., & Hollis, J. F. (1992). Social networks as predictors of ischemic heart disease, cancer, stroke and hypertension: Incidence, survival and mortality. Journal of Clinical Epidemiology, 45 (6), 659–666.Google Scholar
Frost, J. H., & Massagli, M. P. (2008). Social uses of personal health information within PatientsLikeMe, an online patient community: What can happen when patients have access to one another's data. Journal of Medical Internet Research, 10 (3), e15.Google Scholar
Grabenbauer, G. G., Schneider, I. H., Gall, F. P., & Sauer, R. (1993). Epidermoid carcinoma of the anal canal: Treatment by combined radiation and chemotherapy. Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology, 27 (1), 59–62.Google Scholar
Holt-Lunstad, J., Smith, T. B., & Layton, J. B. (2010). Social relationships and mortality risk: A meta-analytic review. PLoS Medicine, 7 (7), e1000316.CrossRefGoogle Scholar
House, J. (1987). Notes and insights: Social support and structure, 2 (1), 135–146.Google Scholar
Koehly, L. M., Peters, J. A., Kuhn, N., Hoskins, L., Letocha, A., Kenen, R., . . . Greene, M. H. (2011). Sisters in hereditary breast and ovarian cancer families: Communal coping, social integration, and psychological well-being, 17 (8), 812–821.Google Scholar
Kroenke, C. H., Kubzansky, L. D., Schernhammer, E. S., Holmes, M. D., & Kawachi, I. (2006). Social networks, social support, and survival after breast cancer diagnosis. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology, 24 (7), 1105–1111.Google Scholar
Luszczynska, A., Sarkar, Y., & Knoll, N. (2007). Received social support, self-efficacy, and finding benefits in disease as predictors of physical functioning and adherence to antiretroviral therapy. Patient Education and Counseling, 66 (1), 37–42.Google Scholar
Maria, E., Reiche, V., Odebrecht, S., Nunes, V., & Morimoto, H. K. (2004). Stress, depression, the immune system, and cancer. The Lancet Oncology, 5 (10), 617–625.Google Scholar
McKinlay, J. (1973). Social networks, lay consultation and help-seeking behavior. Social Forces, 51 (3), 275–292.Google Scholar
Mercken, L., Steglich, C., Sinclair, P., Holliday, J., & Moore, L. (2012). A longitudinal social network analysis of peer influence, peer selection, and smoking behavior among adolescents in British schools. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 31 (4), 450–459.Google Scholar
Mineau, G. P., Smith, K. R., & Bean, L. L. (2002). Historical trends of survival among widows and widowers. Social Science & Medicine, 54 (2), 245–254.Google Scholar
National Health Service. (2000). The NHS Cancer Plan. Retrieved from UK Department of Health Website: http://webarchive.nationalarchives.gov.uk/20130107105354/http://www.dh.gov.uk/prod_consum_dh/groups/dh_digitalassets/@dh/@en/documents/digitalasset/dh_4014513.pdf Google Scholar
National Health Service. (2013). Cancer Patient Experience Survey 2013 National Report. Chesterfield, UK: Quality Health.Google Scholar
National Health Service. (2014). National Cancer Patient Experience Programme 2014 National Survey Oxford University Hospitals. Chesterfield, UK: Quality Health.Google Scholar
Oberst, M. T., Thomas, S. E., Gass, K. A., & Ward, S. E. (1989). Caregiving demands and apprasial of stress among family caregivers. Cancer Nursing, 12 (4), 209–215.Google Scholar
Organization, W. H. (1992). International statistical classification of diseases and related health problems, 10th revision (ICD-10). Geneva: WHO.Google Scholar
Orth-Gomer, K., & Johnson, J. V. (1987). Social network interaction and mortality: A six year follow-up study of a random sample of the swedish population. Journal of Chronic Diseases, 40 (10), 949–957.Google Scholar
Oyama, M., Nakamura, K., Suda, Y., & Someya, T. (2012). Social network disruption as a major factor associated with psychological distress 3 years after the 2004 Niigata-Chuetsu earthquake in Japan. Environmental Health and Preventive Medicine, 17 (2), 118–123.Google Scholar
Perkins, J. M., Subramanian, S. V, & Christakis, N. a. (2014). Social networks and health: A systematic review of sociocentric network studies in low- and middle-income countries. Social Science & Medicine, 125 (1), 60–78.Google Scholar
Perry, B. L. (2016). Understanding social network disruption: The case of youth in foster care. Social Problems, 53 (3), 371–391.Google Scholar
Rapp, E., Pater, J., Willan, A., Cormier, Y., Murray, N., Evans, W., . . . Arnold, A. (1988). Chemotherapy can prolong survival in patients with advanced non-small-cell lung cancer–report of a Canadian multicenter randomized trial. Journal of Clinical Oncology, 6 (4), 633–641.Google Scholar
Rook, K. S. (1984). The negative side of social interaction: Impact on psychological well-being. Journal of Personality and Social Psychology, 46 (5), 1097–1108.Google Scholar
Shalizi, C. R., & Thomas, A. C. (2012). Homophily and contagion are generically confounded in observational social network studies. SMR, 40 (2), 211–239.Google Scholar
Shibuya, K., Mathers, C. D., Boschi-pinto, C., Lopez, A. D., & Murray, C. J. L. (2002). Global and regional estimates of cancer mortality and incidence by site: II. Results for the global burden of disease 2000. BMC Cancer, 2 (37), 1–26.Google Scholar
Shor, E., & Roelfs, D. J. (2015). Social contact frequency and all-cause mortality: A meta-analysis and meta-regression. Social Science & Medicine (1982), 128 (1), 76–86.Google Scholar
Siegel, R. L., Miller, K. D., & Jemal, A. (2015). Cancer statistics, 2015. CA: A Cancer Journal for Clinicians, 65 (1), 5–29.Google Scholar
Thoits, P. A. (2011). Mechanisms linking social ties and support to physical and mental health. Journal of Health and Social Behavior, 52 (2), 145–161.CrossRefGoogle ScholarPubMed
Tiligada, E. (2006). Chemotherapy: Induction of stress responses. Endocrine-Related Cancer, 13 (1), S115–S124.Google Scholar
UK Cancer Research. (2014). Cancer Mortality Statistics. Retrieved from: http://www.cancerresearchuk.org/health-professional/cancer-statistics/mortality?a=5441.Google Scholar
Valente, T. W., Hoffman, B. R., Ritt-Olson, A., Lichtman, K., & Johnson, C. A. (2003). Effects of a social-network method for group assignment strategies on peer-led tobacco prevention programs in schools. American Journal of Public Health, 93 (11), 1837–1843.CrossRefGoogle Scholar
VanderWeele, T. J. (2011). Sensitivity analysis for contagion effects in social networks. Sociological Methods & Research, 40 (2), 240–255.Google Scholar
Wolf, B. M. (2015). Do families cope communally with breast cancer, or is it just talk? Qualitative Health Research, 25 (3), 320–335.Google Scholar
Yang, Y. C., Boen, C., Gerken, K., Li, T., Schorpp, K., & Harris, K. M. (2016). Social relationships and physiological determinants of longevity across the human life span. Proceedings of the National Academy of Sciences, 113 (3), 201511085.Google Scholar
Zajonc, R. B. (1965). Social facilitation. Science, 149 (3681), 269–274.Google Scholar
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