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Attention Score in Context
| Title |
Unmet needs in long-term care and their associated factors among the oldest old in China
|
|---|---|
| Published in |
BMC Geriatrics, April 2015
|
| DOI | 10.1186/s12877-015-0045-9 |
| Pubmed ID | |
| Authors |
Haiyan Zhu |
| Abstract |
With a rapidly aging population and a decline in the availability of family caregivers, the number of elders in China who have unmet long-term care needs is increasing. Because unmet needs often have negative consequences, it is increasingly important to identify factors associated with unmet needs. Utilizing Andersen's behavioral model of health services use, this study examines the roles of predisposing factors (demographics), enabling factors (resources), and need (e.g., illness level) in long-term care among the oldest old in China. Data from three waves (2005, 2008, and 2011) of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed. Four sequential, logistic regression models were designed to investigate how predisposing factors, enabling factors, and need were associated with unmet needs in long-term care. Logistic regression analyses reveal that the significant factors for both rural and urban residents were economic status, someone other than a family member as the primary caregiver, caregivers' willingness to provide care, timely medication, self-rated health, and self-rated life satisfaction. Significant factors among only urban residents were age, a son/daughter-in-law as the primary caregiver, ADL disabilities, expectation of access to community-based care services, and optimism. Significant factors among only rural residents were gender and cognitive function. The risk of having unmet needs associated with ADL disabilities in long-term care is largely determined by the oldest old's economic status and caregivers' willingness to provide care for both rural and urban residents. Given that the availability of informal caregivers-mainly family members-is declining, it is crucial to provide financial assistance to the oldest old, to increase formal services such as paid home service and community-based care services, and to reduce family caregivers' burden in order to reduce the unmet needs of the oldest old in China. |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 123 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 19% |
| Student > Master | 15 | 12% |
| Researcher | 13 | 10% |
| Student > Doctoral Student | 9 | 7% |
| Professor | 8 | 6% |
| Other | 23 | 18% |
| Unknown | 33 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 24 | 19% |
| Nursing and Health Professions | 20 | 16% |
| Medicine and Dentistry | 20 | 16% |
| Economics, Econometrics and Finance | 9 | 7% |
| Psychology | 3 | 2% |
| Other | 12 | 10% |
| Unknown | 37 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 October 2023.
All research outputs
#8,475,076
of 25,287,709 outputs
Outputs from BMC Geriatrics
#2,048
of 3,617 outputs
Outputs of similar age
#94,827
of 271,515 outputs
Outputs of similar age from BMC Geriatrics
#20
of 30 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,617 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 41st percentile – i.e., 41% 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 271,515 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.