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Attention Score in Context
| Title |
Determinants for utilization and transitions of long-term care in adults 65+ in Germany: results from the longitudinal KORA-Age study
|
|---|---|
| Published in |
BMC Geriatrics, July 2018
|
| DOI | 10.1186/s12877-018-0860-x |
| Pubmed ID | |
| Authors |
Kathrin Steinbeisser, Eva Grill, Rolf Holle, Annette Peters, Hildegard Seidl |
| Abstract |
Societies around the world face the burden of an aging population with a high prevalence of chronic conditions. Thus, the demand for different types of long-term care will increase and change over time. The purpose of this exploratory study was to identify determinants for utilization and transitions of long-term care in adults older than 65 years by using Andersen's Behavioral Model of Health Services Use. The study examined individuals older than 65 years between 2011/2012 (t1) and 2016 (t2) from the population-based Cooperative Health Research in the Region of Augsburg (KORA)-Age study from Southern Germany. Analyzed determinants consisted of predisposing (age, sex, education), enabling (living arrangement, income) and need (multimorbidity, disability) factors. Generalized estimating equation logistic models were used to identify determinants for utilization and types of long-term care. A logistic regression model examined determinants for transitions to long-term care over four years through a longitudinal analysis. We analyzed 810 individuals with a mean age of 78.4 years and 24.4% receiving long-term care at t1. The predisposing factors higher age and female sex, as well as the need factors higher multimorbidity and higher disability score, were determinants for both utilization and transitions of long-term care. Living alone, higher income and a higher disability score had a significant influence on the utilization of formal versus informal long-term care. Our results emphasize that both utilization and transitions of long-term care are influenced by a complex construct of predisposing, enabling and need factors. This knowledge is important to identify at-risk populations and helps policy-makers to anticipate future needs for long-term care. Not applicable. |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 15% |
| Student > Master | 10 | 15% |
| Researcher | 6 | 9% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Other | 7 | 11% |
| Unknown | 22 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 12 | 18% |
| Social Sciences | 7 | 11% |
| Medicine and Dentistry | 6 | 9% |
| Psychology | 6 | 9% |
| Economics, Econometrics and Finance | 4 | 6% |
| Other | 7 | 11% |
| Unknown | 23 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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
#4,278,354
of 25,287,709 outputs
Outputs from BMC Geriatrics
#1,131
of 3,617 outputs
Outputs of similar age
#75,458
of 336,258 outputs
Outputs of similar age from BMC Geriatrics
#34
of 61 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 68% of its peers.
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 336,258 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.