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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Family support and transport cost: understanding health service among older people from the perspective of social-ecological model
|
|---|---|
| Published in |
Archives of Public Health, July 2022
|
| DOI | 10.1186/s13690-022-00923-1 |
| Pubmed ID | |
| Authors |
Bocong Yuan, Tong Zhang, Jiannan Li |
| Abstract |
This study is to investigate the interaction of family support, transport cost (ex-post), and disabilities on health service seeking behavior among older people from the perspective of social ecological model. We conduct a series of regressions including the Poisson model and Multiple logit model. The Heckman two-stage procedure is also conducted to check the robustness. Given that health care resources are generally concentrated in densely populated urban areas, access to services of higher-class health care facilities is found associated with higher transport cost (ex-post). Family support could also promote the access to higher-class health care facilities. Although disability may impede such access, this effect may be mitigated by paying higher transport cost (ex-post). Alleviating transport deprivation and promoting family support are critical for access to better healthcare services among older people with disabilities. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Lecturer | 2 | 9% |
| Researcher | 1 | 4% |
| Unknown | 15 | 65% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 4 | 17% |
| Medicine and Dentistry | 2 | 9% |
| Materials Science | 1 | 4% |
| Psychology | 1 | 4% |
| Unknown | 15 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 December 2023.
All research outputs
#17,301,727
of 25,392,582 outputs
Outputs from Archives of Public Health
#774
of 1,145 outputs
Outputs of similar age
#256,143
of 435,204 outputs
Outputs of similar age from Archives of Public Health
#24
of 41 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,145 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 435,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.