Temkin-Greener Helena, Bajorska Alina, Peterson Derick R, Kunitz Stephen J, Gross Diane, Williams T Franklin, Mukamel Dana B
Department of Community and Preventive Medicine, University of Rochester School of Medicine, Rochester, NY 14642, USA.
Med Care. 2004 Aug;42(8):779-88. doi: 10.1097/01.mlr.0000132397.49094.b3.
The objective of this study was to test the hypothesis that social support is an important predictor of mortality in a frail older population receiving formal long-term care services.
The analysis is based on 3138 individuals enrolled in 28 Programs of All-Inclusive Care for the Elderly (PACE). Information about the enrollees is obtained from dataPACE. Semiparametric Cox proportional hazards models are estimated to assess the importance of individual risk factors, program effect, and social support.
The introduction of the social support variables into the mortality model containing the sociodemographic, health needs, and the PACE-site indicator variables results in a significant improvement of the overall model fit. Several social support variables are statistically significant predictors of mortality. Controlling for all participant and caregiver characteristics, participants whose caregiver is a spouse have a significantly lower risk of mortality (hazard ratio = 0.63) compared with those whose caregiver is not a spouse. Furthermore, caregivers' assistance with meals confers a significantly lower risk of morality (hazard ratio = 0.66) compared with no assistance with meals.
This study shows that certain aspects of informal caregiving are important factors enhancing survival in a population of frail, nursing home-certifiable individuals enrolled in a health program that already provides extensive services, including personal care, chores, and meals. Further research to better differentiate between the affective versus the instrumental dimensions of social support is needed to guide programs on how to balance the use of resources to provide both the necessary formal services and the support for the informal caregivers.
本研究的目的是检验以下假设,即在接受正规长期护理服务的体弱老年人群中,社会支持是死亡率的重要预测因素。
分析基于参加28个老年人综合护理项目(PACE)的3138名个体。有关参与者的信息来自dataPACE。估计半参数Cox比例风险模型以评估个体风险因素、项目效果和社会支持的重要性。
将社会支持变量引入包含社会人口统计学、健康需求和PACE地点指标变量的死亡率模型中,可显著改善整体模型拟合度。几个社会支持变量是死亡率的统计学显著预测因素。在控制所有参与者和照顾者特征的情况下,与照顾者不是配偶的参与者相比,照顾者为配偶的参与者死亡率风险显著更低(风险比=0.63)。此外,与没有用餐协助相比,照顾者提供用餐协助可使死亡风险显著降低(风险比=0.66)。
本研究表明,在已提供包括个人护理、家务和膳食等广泛服务的健康项目中登记的体弱、可认证入住养老院的人群中,非正式护理的某些方面是提高生存率的重要因素。需要进一步研究以更好地区分社会支持的情感维度和工具维度,从而指导项目如何平衡资源使用,以提供必要的正规服务并支持非正式照顾者。