Evidence map›Paper›PMID 19156466›Full record

ArticleHand (New York, N.Y.)2009

Future of the US healthcare system and the effects on the practice of hand surgery.

Allison G Pushman, Kevin C Chung

Abstract read
In one paragraph

Article in Hand (New York, N.Y.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Clinical research in hand surgery.The Journal of hand surgery · 2010
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Allison G PushmanSection of Plastic Surgery, University of Michigan Health System, 2130 Taubman Center 1500 E. Medical Center Drive, Ann Arbor, MI 48109-0340, USA.
Kevin C Chung

Funding

An Outcome Study of Rheumatoid Hand ArthroplastyR01AR047328 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUNG, KEVIN C · 2003 to 2016
$3.1M
Evidence-Based Research in Hand SurgeryK24AR053120 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUNG, KEVIN C · 2008 to 2018
$1.6M
Understanding Treatment Variation of Distal Radius Fracture in the US ElderlyR21AR056988 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUNG, KEVIN C · 2008 to 2009
$368k
NIAMS NIH HHS K24 AR053120NIAMS NIH HHS R01 AR047328NIAMS NIH HHS R21 AR056988
6 · The paper itself

Abstract

The multitier healthcare system of the USA has several major flaws. High costs and uncertain quality of care indicate that this system is no longer practical. Several improvement initiatives, such as the Oregon Health Plan, Leapfrog, Lean Manufacturing, and Pay-for-Performance have been implemented into the current system. All of these quality improvement models are being experimented in a limited fashion and do not address the biggest problem in the US healthcare, inequality of care. There is now increasing support for a universal health coverage model as an ethically sound and just way to decrease health disparities in the USA. The current quality initiatives as well as an adoption of universal coverage appear to be the best way to improve quality of care, reduce cost, and increase equality in healthcare. These initiatives may have considerable effects on the practice of hand surgery in the near future, and thus, it is important for the field of hand surgery to become more engaged in advocacy and public policy arena. The purpose of this paper is to examine the current problems in the US healthcare system and to evaluate potential solutions that will enhance quality while simultaneously curbing the unchecked increase in healthcare expenditure.

Identifiers

PMID19156466
PMCPMC2686797

What OpenQuestion holds

Textmetadata
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.