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Attention Score in Context
| Title |
Effects of a mobility monitoring system on the cost of care in relation to reimbursement at Swiss nursing homes: learnings from a randomized controlled trial
|
|---|---|
| Published in |
Health Economics Review, December 2017
|
| DOI | 10.1186/s13561-017-0178-y |
| Pubmed ID | |
| Authors |
Mario Stark, Rigo Tietz, Heidrun Gattinger, Virpi Hantikainen, Stefan Ott |
| Abstract |
Nursing homes in Switzerland are under pressure to efficiently coordinate staff activities to cover their personnel costs under the care financing system. In this study, the use of a mobility monitoring system accompanied with case conferences was investigated in order to improve sleep quality and estimate the cost benefit of this intervention. In an open two-phase randomized controlled trial at three nursing homes, residents with cognitive impairment were randomly assigned to an intervention group and a control group. In the intervention group, a 10-week period of intensive use of the monitoring system and case conferences led by an advanced nurse practitioner (Phase I) was followed by 3 months of reduced use of the monitoring system and case conferences led by an internal registered nurse (Phase II). In the control group, the monitoring system was only used for data acquisition. Nurses reported the activities with a specifically developed tool. Based on the recorded activities, the cost of care was calculated. The correlating reimbursement per patient was calculated from the care levels in the Swiss reimbursement system. Data from 44 residents was included in the analysis with a linear mixed model. Although analysis revealed no statistically significant effects, results indicate that the use of a monitoring system can guide nurses in organizing their tasks to increase effectiveness. Information systems such as the mobility monitor can help to identify single outliers that do not correspond with the overall situation. In the health care system, problematic individual cases can account for a disproportionally high cost levels. It was shown that information systems can have a significant economic impact in the long run. The study is registered at the German Clinical Trials Register under the Nr. DRKS00006829 . |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 20% |
| Student > Bachelor | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 17 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 20% |
| Nursing and Health Professions | 6 | 13% |
| Business, Management and Accounting | 3 | 7% |
| Economics, Econometrics and Finance | 3 | 7% |
| Social Sciences | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 18 | 40% |
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 01 December 2017.
All research outputs
#17,921,555
of 23,009,818 outputs
Outputs from Health Economics Review
#301
of 436 outputs
Outputs of similar age
#305,732
of 437,935 outputs
Outputs of similar age from Health Economics Review
#10
of 12 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 436 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 23rd percentile – i.e., 23% 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 437,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.