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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Effectiveness of a Wireless Modular Bed Absence Sensor Device for Fall Prevention among Older Inpatients
|
|---|---|
| Published in |
Frontiers in Public Health, January 2017
|
| DOI | 10.3389/fpubh.2016.00292 |
| Pubmed ID | |
| Authors |
Kogilavani Subermaniam, Ridgwan Welfred, Pathmawathi Subramanian, Karuthan Chinna, Fatimah Ibrahim, Mas S. Mohktar, Maw Pin Tan |
| Abstract |
Falls and fall-related injuries are increasingly serious issues among elderly inpatients due to population aging. The bed-exit alarm has only previously been evaluated in a handful of studies with mixed results. Therefore, we evaluated the effectiveness of a modular bed absence sensor device (M-BAS) in detecting bed exits among older inpatients in a middle income nation in East Asia. Patients aged ≥65 years on an acute geriatric ward who were able to mobilize with or without walking aids and physical assistance were recruited to the study. The total number of alarms and the numbers of true and false alarms were recorded by ward nurses. The M-BAS device is placed across the mattress of all consenting participants. Nurses' workload was assessed using the National Aeronautics and Space Administration-Task Load Index (NASA-TLX) score, while nurses' perceptions were surveyed. The sensitivity of the M-BAS was 100% with a positive predictive value of 68% and a nuisance alarm rate of 31%. There was a significant reduction in total NASA-TLX workload score (mean difference = 14.34 ± 13.96 SD, p < 0.001) at the end of the intervention period. 83% of the nurses found the device useful for falls prevention, 97% found it user friendly, and 87% would use it in future. The M-BAS was able to accurately detect bed absence episodes among geriatric inpatients and alert nurses accordingly. The use of the device significantly reduced the total workload score, while the acceptability of the device was high among our nurses. A larger, cluster randomized study to measure actual falls outcome associated with the use of the device is now indicated. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Unknown | 115 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 16% |
| Student > Bachelor | 19 | 16% |
| Student > Ph. D. Student | 7 | 6% |
| Researcher | 5 | 4% |
| Student > Doctoral Student | 4 | 3% |
| Other | 17 | 15% |
| Unknown | 45 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 29 | 25% |
| Medicine and Dentistry | 21 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 5% |
| Economics, Econometrics and Finance | 3 | 3% |
| Unspecified | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 49 | 42% |
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 09 January 2017.
All research outputs
#18,510,888
of 22,931,367 outputs
Outputs from Frontiers in Public Health
#5,786
of 10,078 outputs
Outputs of similar age
#311,315
of 421,326 outputs
Outputs of similar age from Frontiers in Public Health
#49
of 63 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,078 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 24th percentile – i.e., 24% 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 421,326 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 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.