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Targeted approaches to improve outcomes for highest-cost patients

Overview of attention for article published in Israel Journal of Health Policy Research, June 2017
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Title
Targeted approaches to improve outcomes for highest-cost patients
Published in
Israel Journal of Health Policy Research, June 2017
DOI 10.1186/s13584-017-0151-6
Pubmed ID
Authors

Adam J. Rose

Abstract

Bash and colleagues, using data from Maccabi Healthcare Services, have documented increased cost and utilization attributable to patients with congestive heart failure (CHF). The CHF patients were older than the general population and had high rates of important comorbid conditions. While it is somewhat predictable that such a population would have higher healthcare utilization and costs, the extent of the difference was still surprising. Most CHF patients (78%) were hospitalized at least once, compared to only 21% of patients without CHF. CHF patients used dramatically more of every kind of health care, including physician visits, emergency department visits, and specialty care visits. In this paper, Bash and colleagues have provided essential information about the "cost epidemiology" of CHF patients in the Israeli context. This commentary places these results in a broader context of how "cost epidemiology" information can be translated into targeted programs to improve outcomes and costs for vulnerable populations. The commentary makes three key points. First, beyond showing the increased utilization and cost attributable to CHF, there is also a need to examine which patients within this broad category contribute most to these increased costs, and might therefore be targeted for enhanced services. Second, it is helpful to make a business case for intervening to improve outcomes with a subpopulation, focusing in particular on the return on investment from the standpoint of the payer. Finally, while Israeli health collectives have already deployed programs to improve outcomes in older and sicker patients, there may be a need to more precisely define important subpopulations based on social risk factors or particularly severe disease manifestations, and then target those subpopulations with tailored programs focused on their particular needs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 31%
Researcher 4 31%
Professor 1 8%
Other 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Nursing and Health Professions 3 23%
Medicine and Dentistry 3 23%
Economics, Econometrics and Finance 2 15%
Immunology and Microbiology 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Other 2 15%
Unknown 1 8%
Attention Score in Context

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 07 June 2017.
All research outputs
#20,427,593
of 22,979,862 outputs
Outputs from Israel Journal of Health Policy Research
#492
of 578 outputs
Outputs of similar age
#276,078
of 317,348 outputs
Outputs of similar age from Israel Journal of Health Policy Research
#8
of 17 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 578 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% 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 317,348 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.