<strong>Purpose:</strong> This study aims to establish criteria to determine the need for admission of people with dementia to dementia nursing wards of psychiatric hospitals—based on the experience of nu...<strong>Purpose:</strong> This study aims to establish criteria to determine the need for admission of people with dementia to dementia nursing wards of psychiatric hospitals—based on the experience of nurses working in dementia nursing wards. <strong>Methods:</strong> Semi-structured interviews were conducted with nurses who had worked in dementia nursing wards of psychiatric hospitals for more than 3 years, to collect data related to the “condition at the time of admission and the process of hospitalization of dementia patients”. Data were analyzed using the content analysis approach. Focusing on “What is the condition of patients with dementia admitted to the dementia nursing ward?”, we created codes according to similarities in the meaning, and classified these into categories where they were evaluated to fully fit in. <strong>Results and Discussion:</strong> The analysis yielded 4 categories, and 44 codes. The four categories are as follows: [Appearance of a state where self-control is difficult] which expresses a state where behavioral and psychological symptoms of dementia (BPSD) have appeared, and the remaining three categories [Insufficient support provided], [Appearance of symptoms that make living difficult], and [Appearance of physical symptoms that require treatment] express the states that may trigger the appearance of BPSD. These show that the appearance of BPSD is a criterion for determining hospitalization. By providing support to prevent the states described in the 44 codes, nurses may help people with dementia avoid being hospitalized in dementia nursing wards in psychiatric hospitals.展开更多
Proper Orthogonal Decomposition （POD） provides a powerful modal transformation tool for stochastic dynamics. In this paper, coherency matrix-based proper orthogonal decomposition （CPOD） is presented as an innovati...Proper Orthogonal Decomposition （POD） provides a powerful modal transformation tool for stochastic dynamics. In this paper, coherency matrix-based proper orthogonal decomposition （CPOD） is presented as an innovative form of the POD based on cross power spectral density matrices. By introducing a discretizing scheme, the CPOD-based spectral representation method is obtained for use in stochastic simulation. Moreover, some criteria are proposed that allow the truncation order of CPOD to be conveniently determined. A numerical example to illustrate the application of the proposed method for the simulation of a wind velocity field is provided.展开更多
文摘<strong>Purpose:</strong> This study aims to establish criteria to determine the need for admission of people with dementia to dementia nursing wards of psychiatric hospitals—based on the experience of nurses working in dementia nursing wards. <strong>Methods:</strong> Semi-structured interviews were conducted with nurses who had worked in dementia nursing wards of psychiatric hospitals for more than 3 years, to collect data related to the “condition at the time of admission and the process of hospitalization of dementia patients”. Data were analyzed using the content analysis approach. Focusing on “What is the condition of patients with dementia admitted to the dementia nursing ward?”, we created codes according to similarities in the meaning, and classified these into categories where they were evaluated to fully fit in. <strong>Results and Discussion:</strong> The analysis yielded 4 categories, and 44 codes. The four categories are as follows: [Appearance of a state where self-control is difficult] which expresses a state where behavioral and psychological symptoms of dementia (BPSD) have appeared, and the remaining three categories [Insufficient support provided], [Appearance of symptoms that make living difficult], and [Appearance of physical symptoms that require treatment] express the states that may trigger the appearance of BPSD. These show that the appearance of BPSD is a criterion for determining hospitalization. By providing support to prevent the states described in the 44 codes, nurses may help people with dementia avoid being hospitalized in dementia nursing wards in psychiatric hospitals.
基金Research Fund for Communications in Western China Under Grant No. 200431800028
文摘Proper Orthogonal Decomposition （POD） provides a powerful modal transformation tool for stochastic dynamics. In this paper, coherency matrix-based proper orthogonal decomposition （CPOD） is presented as an innovative form of the POD based on cross power spectral density matrices. By introducing a discretizing scheme, the CPOD-based spectral representation method is obtained for use in stochastic simulation. Moreover, some criteria are proposed that allow the truncation order of CPOD to be conveniently determined. A numerical example to illustrate the application of the proposed method for the simulation of a wind velocity field is provided.
