Evidence map›Paper›PMID 28593037›Full record

ArticleIsrael journal of health policy research2017

Targeted approaches to improve outcomes for highest-cost patients.

Adam J Rose

Open access · goldAbstract readEditorialComment
In one paragraph

Article in Israel journal of health policy research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Adam J RoseDepartment of Medicine, Section of General Internal Medicine, Boston University School of Medicine, 801 Massachusetts Avenue, 2nd Floor, Boston, MA 02118 USA.
Boston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Treatment OutcomeCost-Benefit AnalysisHealth Care CostsHeart FailureHumansIsrael

Identifiers

PMID28593037
PMCPMC5461745
OpenAlexW2609837567

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.