Trends in the use of care among people aged 65–85 with cognitive impairment in the Netherlands

The impact of social network change due to spousal loss: A qualitative study on experiences of older adults who are aging in place

Spousal loss due to nursing home admission or death is challenging for the well-being of the remaining partner and for aging in place. We explored: "How does social network change due to spousal loss impact older adults who are aging in place?." In-depth interviews were held with six older women who were aging in place and who lost their spouses in the past two years. Narrative analysis was conducted. Results indicate that the impact varies in three dimensions and that variations within dimensions follow three themes. The results emphasize the complexity of impact and the urgent need for a person-centred approach toward older adults after spousal loss.

Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China

Through assignment method, the total score of disability in multiple dimensions is obtained, and it is divided into five functional states—severe disability, partial disability, moderate disability, mild disability, and health—according to the score, and the probability of death is constructed. Using the Chinese Longitudinal Healthy Longevity Survey (CLHLS) database tracking survey data, by constructing a multistate transition probability matrix, the empirical calculation of the multistate disability transfer probability, with the help of the sixth national census data, we estimated maintenance time of each state, life expectancy, etc. The results show that the 3 year transfer probability of the initial healthy elderly is the highest, and the mortality rate is also the lowest. It can be found that the disability state transition probability measurement based on the data is more accurate than the model estimation; the disability scale and life expectancy estimated based on the multistate transition probability matrix are more reliable.