OBJECTIVE: 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. RESEARCH DESIGN AND METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
OBJECTIVE: 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. RESEARCH DESIGN AND METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
Authors: M Dramé; J L Novella; P O Lang; D Somme; N Jovenin; I Lanièce; P Couturier; D Heitz; J B Gauvain; T Voisin; B De Wazières; R Gonthier; J Ankri; C Jeandel; O Saint-Jean; F Blanchard; D Jolly Journal: Eur J Epidemiol Date: 2008-10-21 Impact factor: 8.082
Authors: Clare Bristow; Grace George; Grace Hillsmith; Emma Rainey; Sarah Urasa; Sengua Koipapi; Aloyce Kisoli; Japhet Boni; Grace Anderson Saria; Sherika Ranasinghe; Marcella Joseph; William K Gray; Marieke Dekker; Richard W Walker; Catherine L Dotchin; Elizabeta Mukaetova-Ladinska; William Howlett; Philip Makupa; Stella-Maria Paddick Journal: J Neurovirol Date: 2021-01-11 Impact factor: 2.643
Authors: Norma B Coe; R Tamara Konetzka; Melissa Berkowitz; Emily Blecker; Courtney H Van Houtven Journal: Annu Rev Public Health Date: 2021-01-04 Impact factor: 21.981