Evidence map›Paper›PMID 22399369›Full record

ArticleInternational journal of health care finance and economics2012

Medicare spending, mortality rates, and quality of care.

Jack Hadley, James D Reschovsky

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of health care finance and economics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Spending and mortality in US acute care hospitals.The American journal of managed care · 2013
    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.

Jack HadleyCollege of Health and Human Services, George Mason University, Fairfax, VA 22030, USA. Jhadley1@gmu.edu
James D Reschovsky

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We applied instrumental variable analysis to a sample of 388,690 Medicare beneficiaries predicted to be high-cost cases to estimate the effects of medical care use on the relative odds of death or experiencing an avoidable hospitalization in 2006. Contrary to conclusions from the observational geographic variations literature, the results suggest that greater medical care use is associated with statistically significant and quantitatively meaningful health improvements: a 10% increase in medical care use is associated with a 8.4% decrease in the mortality rate and a 3.8% decrease in the rate of avoidable hospitalizations.

Indexed as

Quality of Health CareHumansMedicareMortalityUnited States

Identifiers

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.