| Title |
Predictors of preferred location of care in middle-aged individuals of a municipality in Japan: a cross-sectional survey
|
|---|---|
| Published in |
BMC Health Services Research, May 2017
|
| DOI | 10.1186/s12913-017-2293-1 |
| Pubmed ID | |
| Authors |
Kentaro Sugimoto, Masayo Kashiwagi, Nanako Tamiya |
| Abstract |
Japan has the highest rate of aging. To contain Long-Term Care (LTC) Insurance costs, the Japanese government is attempting to increase the proportion of individuals receiving home care services. However, demand for institutional care is increasing. These circumstances will decrease the sustainability of the LTC Insurance System. The objective of the present study was to identify predictors of the location of preference for LTC (home or a facility) in middle-aged individuals in a municipality. This was a cross-sectional study of middle-aged individuals (n = 906) in Tsukuba, Japan. Data primarily included individual or social factors (sex, age, household size, experience with caring for family, information sources about social services or municipality policy), factors about care prevention (self-reported health, efforts to promote health, motivation in life), and the preferred location of care. These variables were analysed with multiple logistic regression, using preferred location of care as the dependent variable. A total of 693 respondents were analysed. Of these, 440 (63.5%) preferred home and 253 (36.5%) preferred a facility. The results of logistic regression analysis showed that a preference for facility was significantly associated with female sex, younger age, experience with caring for family, fewer information sources about social services or municipality policies, selecting 'go to culture lessons/study to satisfy interests', and not selecting 'spending time happily with family' under motivation in life. To support the selection of receiving home care services, municipalities must consider improving policies that reduce the burdens of present middle-aged caregivers, and promote the provision of care service information from multiple sources. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 19% |
| Student > Bachelor | 6 | 13% |
| Researcher | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 17 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 12 | 26% |
| Social Sciences | 6 | 13% |
| Medicine and Dentistry | 6 | 13% |
| Engineering | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 18 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 May 2017.
All research outputs
#14,428,455
of 23,881,329 outputs
Outputs from BMC Health Services Research
#5,044
of 7,949 outputs
Outputs of similar age
#166,980
of 311,947 outputs
Outputs of similar age from BMC Health Services Research
#92
of 140 outputs
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