Lienert Jeffrey, Marcum Christopher Steven, Finney John, Reed-Tsochas Felix, Koehly Laura
National Human Genome Research Institute, NIH, Bethesda, MD, USA and CABDyN Complexity Centre, Saïd Business School, University of Oxford, Oxford, UK.
National Human Genome Research Institute, NIH, Bethesda, MD, USA.
Netw Sci (Camb Univ Press). 2017 Sep;5(3):308-327. doi: 10.1017/nws.2017.16. Epub 2017 Jul 12.
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% ( = 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% ( = -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.
化疗通常在开放式设计的医院病房中进行,在这种环境下,患者之间存在对健康产生社会影响的可能性。先前的研究发现,社会关系会影响癌症患者的健康;然而,我们尚未了解在医院接受化疗的患者之间的社会影响情况。我们调查了化疗病房中共同在场的影响。我们使用了英国牛津郡4691名接受化疗的癌症患者的数据,这些患者平均年龄为59.8岁,44%为男性。我们构建了一个患者网络,当患者在病房中共同在场时就存在边,并根据患者在病房中的时间进行加权。社会影响基于与焦点患者的直接邻居的总加权共同在场情况,并考虑邻居的5年死亡率。广义估计方程评估了邻居的5年死亡率对焦点患者5年死亡率的影响。与在5年内死亡的患者的加权共同在场每增加1000个单位,患者的死亡几率就会增加42%(β = 0.357,置信区间:0.204,0.510)。与存活5年的患者的共同在场每增加1000个单位,患者的死亡几率就会降低30%(β = -0.344,置信区间:-0.538,0.149)。我们的结果表明,社会影响在化疗病房中存在,因此在化疗实施过程中可能需要予以考虑。