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| Title |
Calculating the return on investment of mobile healthcare
|
|---|---|
| Published in |
BMC Medicine, June 2009
|
| DOI | 10.1186/1741-7015-7-27 |
| Pubmed ID | |
| Authors |
Nancy E Oriol, Paul J Cote, Anthony P Vavasis, Jennifer Bennet, Darien DeLorenzo, Philip Blanc, Isaac Kohane |
| Abstract |
Mobile health clinics provide an alternative portal into the healthcare system for the medically disenfranchised, that is, people who are underinsured, uninsured or who are otherwise outside of mainstream healthcare due to issues of trust, language, immigration status or simply location. Mobile health clinics as providers of last resort are an essential component of the healthcare safety net providing prevention, screening, and appropriate triage into mainstream services. Despite the face value of providing services to underserved populations, a focused analysis of the relative value of the mobile health clinic model has not been elucidated. The question that the return on investment algorithm has been designed to answer is: can the value of the services provided by mobile health programs be quantified in terms of quality adjusted life years saved and estimated emergency department expenditures avoided? |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Andorra | 1 | 17% |
| United States | 1 | 17% |
| United Arab Emirates | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| United Kingdom | 1 | <1% |
| Malaysia | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 161 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 46 | 28% |
| Student > Ph. D. Student | 19 | 11% |
| Researcher | 15 | 9% |
| Other | 14 | 8% |
| Student > Doctoral Student | 12 | 7% |
| Other | 29 | 17% |
| Unknown | 31 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 46 | 28% |
| Social Sciences | 16 | 10% |
| Nursing and Health Professions | 15 | 9% |
| Engineering | 10 | 6% |
| Economics, Econometrics and Finance | 9 | 5% |
| Other | 30 | 18% |
| Unknown | 40 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 84. 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 April 2024.
All research outputs
#515,971
of 25,793,330 outputs
Outputs from BMC Medicine
#389
of 4,095 outputs
Outputs of similar age
#1,234
of 126,361 outputs
Outputs of similar age from BMC Medicine
#2
of 12 outputs
Altmetric has tracked 25,793,330 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,095 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.2. This one has done particularly well, scoring higher than 90% 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 126,361 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 99% of its contemporaries.
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 has done well, scoring higher than 83% of its contemporaries.