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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Healthcare utilization in older patients using personal emergency response systems: an analysis of electronic health records and medical alert data
|
|---|---|
| Published in |
BMC Health Services Research, April 2017
|
| DOI | 10.1186/s12913-017-2196-1 |
| Pubmed ID | |
| Authors |
Stephen Agboola, Sara Golas, Nils Fischer, Mariana Nikolova-Simons, Jorn op den Buijs, Linda Schertzer, Joseph Kvedar, Kamal Jethwani |
| Abstract |
Personal Emergency Response Systems (PERS) are traditionally used as fall alert systems for older adults, a population that contributes an overwhelming proportion of healthcare costs in the United States. Previous studies focused mainly on qualitative evaluations of PERS without a longitudinal quantitative evaluation of healthcare utilization in users. To address this gap and better understand the needs of older patients on PERS, we analyzed longitudinal healthcare utilization trends in patients using PERS through the home care management service of a large healthcare organization. Retrospective, longitudinal analyses of healthcare and PERS utilization records of older patients over a 5-years period from 2011-2015. The primary outcome was to characterize the healthcare utilization of PERS patients. This outcome was assessed by 30-, 90-, and 180-day readmission rates, frequency of principal admitting diagnoses, and prevalence of conditions leading to potentially avoidable admissions based on Centers for Medicare and Medicaid Services classification criteria. The overall 30-day readmission rate was 14.2%, 90-days readmission rate was 34.4%, and 180-days readmission rate was 42.2%. While 30-day readmission rates did not increase significantly (p = 0.16) over the study period, 90-days (p = 0.03) and 180-days (p = 0.04) readmission rates did increase significantly. The top 5 most frequent principal diagnoses for inpatient admissions included congestive heart failure (5.7%), chronic obstructive pulmonary disease (4.6%), dysrhythmias (4.3%), septicemia (4.1%), and pneumonia (4.1%). Additionally, 21% of all admissions were due to conditions leading to potentially avoidable admissions in either institutional or non-institutional settings (16% in institutional settings only). Chronic medical conditions account for the majority of healthcare utilization in older patients using PERS. Results suggest that PERS data combined with electronic medical records data can provide useful insights that can be used to improve health outcomes in older patients. |
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 % |
|---|---|---|
| Canada | 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 108 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 12% |
| Student > Bachelor | 11 | 10% |
| Student > Ph. D. Student | 11 | 10% |
| Student > Doctoral Student | 7 | 6% |
| Other | 6 | 6% |
| Other | 15 | 14% |
| Unknown | 45 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 19% |
| Nursing and Health Professions | 15 | 14% |
| Computer Science | 6 | 6% |
| Psychology | 2 | 2% |
| Social Sciences | 2 | 2% |
| Other | 13 | 12% |
| Unknown | 49 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 06 November 2023.
All research outputs
#1,244,327
of 24,525,936 outputs
Outputs from BMC Health Services Research
#369
of 8,286 outputs
Outputs of similar age
#24,935
of 314,680 outputs
Outputs of similar age from BMC Health Services Research
#11
of 137 outputs
Altmetric has tracked 24,525,936 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,286 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 95% 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 314,680 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.