This study focuses on the impact of a program aimed at reducing heat-related mortality among older adults residing in central Rome by counteracting social isolation. The mortality of citizens over the age of 75 living in three Urban Areas (UAs) located in central Rome is compared with that of the residents of four adjacent UAs during the summer of 2015. The data, broken down by UA, were provided by the Statistical Office of the Municipality of Rome, which gathers them on a routine basis. During the summer of 2015, 167 deaths were recorded in those UAs in which the Long Live the Elderly (LLE) program was active and 169 in those in which it was not, implying cumulative mortality rates of 25‰ (SD ± 1.4; Cl 95%: 23–29) and 29‰ (SD ± 6.7; Cl 95%: 17–43), respectively. Relative to the summer of 2014, the increase of deaths during the summer of 2015 was greater in UAs in which the LLE program had not been implemented (+97.3% vs. +48.8%). In conclusion, the paper shows the impact of a community-based active monitoring program, focused on strengthening individual relationship networks and the social capital of the community, on mortality in those over 75 during heat waves.
Introduction: Social isolation increases in the over-74 population and it is a risk factor for death and Long Term Care (LTC) use. In order to prevent the negative consequences of social isolation on this population community interventions focused on strengthening the social network should be intensified. The aim of this paper is to describe the impact on health care use of a Communitybased pro-Active Monitoring Program (CAMP) providing phone monitoring to all the clients and home visits according to the individual's needs. Methodology: In order to provide an evaluation of the program outcomes, the rates of clients' hospitalization and admissions to Long Term Care facilities during 2011 have been assessed. The observed rates have been compared with expected ones calculated on available information for similar population. A cost-analysis has been also carried out to analyze the program sustainability. Results: The studied sample is made up by 1408 over-74 citizens followed up during 2011 in Rome (Italy) by CAMP. The cumulative observation time was 1362 p/y; 61 individuals died during 2011 (death rate 4.3%). The hospital admission rate observed among CAMP's clients was 254‰ (357/1408; CL95% ± 91‰), lower than the 282‰ reported for the over-74 population of Rome. This translates into 39 averted hospitalization. The LTC admission rate is also reduced among CAMP's clients (9/1,408, 6.6‰ CL95% ± 0.8‰ vs. 9.7‰ reported for a comparable sample); it translates into 4 averted LTC admissions. The averted cost * Corresponding author. M. C. Marazzi et al. 188 ranged between 47,153 € and 220,117 € according to the range of services used by the clients, which translates into a percentage of estimated cost reduction on yearly basis ranged between 3% and 12.5% of the whole cost of services used by the studied population. Discussion: The paper suggests the capacity of CAMP to reduce both the over-74 hospitalization rate and use of LTC. Cost analysis also indicates a cost reduction as a consequence of the CAMP implementation. Further studies including a control group and a detailed cost-benefit analysis are needed to check the program sustainability on larger population.
Background The COVID-19 epidemic in Italy has severely affected people aged more than 80, especially socially isolated. Aim of this paper is to assess whether a social and health program reduced mortality associated to the epidemic. Methods An observational retrospective cohort analysis of deaths recorded among >80 years in three Italian cities has been carried out to compare death rate of the general population and “Long Live the Elderly!” (LLE) program. Parametric and non-parametric tests have been performed to assess differences of means between the two populations. A multivariable analysis to assess the impact of covariates on weekly mortality has been carried out by setting up a linear mixed model. Results The total number of services delivered to the LLE population (including phone calls and home visits) was 34,528, 1 every 20 day per person on average, one every 15 days during March and April. From January to April 2019, the same population received one service every 41 days on average, without differences between January-February and March-April. The January-April 2020 cumulative crude death rate was 34.8‰ (9,718 deaths out of 279,249 individuals; CI95%: 34.1–35.5) and 28.9‰ (166 deaths out of 5,727 individuals; CI95%:24.7–33.7) for the general population and the LLE sample respectively. The general population weekly death rate increased after the 11th calendar week that was not the case among the LLE program participants (p<0.001). The Standardized Mortality Ratio was 0.83; (CI95%: 0.71–0.97). Mortality adjusted for age, gender, COVID-19 weekly incidence and prevalence of people living in nursing homes was lower in the LLE program than in the general population (p<0.001). Conclusions LLE program is likely to limit mortality associated with COVID-19. Further studies are needed to establish whether it is due to the impact of social care that allows a better clients’ adherence to the recommendations of physical distancing or to an improved surveillance of older adults that prevents negative outcomes associated with COVID-19.
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