Evidence map›Paper›PMID 23448114›Full record

ArticleThe American journal of managed care2013

Spending and mortality in US acute care hospitals.

John A Romley, Anupam B Jena, June F O'Leary, Dana P Goldman

Abstract read
In one paragraph

Article in The American journal of managed care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Observational
  11. Article
  12. Article
  13. Observational
  14. Financial Implications of Hospital Readmission After Hip Fracture.Geriatric orthopaedic surgery & rehabilitation · 2015
    Article
  15. Article
  16. Article
  17. 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

4 authors.

John A RomleyRAND Corporation, 3335 S Figueroa St. Unit A, Los Angeles, CA 90089, USA. romley@healthpolicy.usc.edu
Anupam B Jena
June F O'Leary
Dana P Goldman

Funding

USC-Yale Roybal Center for Behavioral Interventions in AgingP30AG024968 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JASON N. DOCTOR · 2004 to 2026
$14.7M
Quality and Costs in Hospitals: What Can We Learn from Medicare Patients?R03AG031990 · NIA · RAND CORPORATION · PI ROMLEY, JOHN A · 2009 to 2010
$159k
NIA NIH HHS 1R03AG031990-A1NIA NIH HHS P30 AG024968NIA NIH HHS P30AG024968NIA NIH HHS R03 AG031990
6 · The paper itself

Abstract

backgroundDespite evidence that greater US Medicare spending is not associated with better quality of care at a regional level, recent studies suggest that greater hospital spending is associated with lower risk-adjusted mortality. Studies have been limited to older data, specific US states and conditions, and the Medicare population.

objectivesTo analyze the association between hospital spending and risk-adjusted inpatient mortality for 6 major medical conditions in US acute care hospitals. STUDY

designRetrospective cohort study of risk adjusted inpatient mortality, with hospital spending taken from the Dartmouth Atlas of Health Care. The study population included 2,635,510 patients admitted to 1201 US hospitals between 2003 and 2007.

methodsPatient-level logistic regression models were used to estimate the effect of hospital spending on inpatient mortality, controlling for mortality risk, comorbidities, community characteristics (eg, median household income in a patient's zip code), hospital volume and ownership, and admission year.

resultsPatients treated at hospitals in the highest spending quintile (relative to the lowest) had lower risk-adjusted inpatient mortality for acute myocardial infarction (odds ratio [OR] 0.751, 95% confidence interval [CI] 0.656-0.859), congestive heart failure (OR 0.652, 95% CI 0.560-0.759), stroke (OR 0.852, 95% CI, 0.739-0.983), and hip fracture (OR 0.691, 95% CI 0.545-0.876). Greater spending was associated with lower mortality primarily in nonteaching hospitals, hospitals with fewer than the median number of beds, and nonprofit/public hospitals.

conclusionsGreater hospital spending is associated with lower risk-adjusted inpatient mortality for major medical conditions in the United States.

Indexed as

Emergency Service, HospitalHealth ExpendituresHospital MortalityConfidence IntervalsHeart FailureHip FracturesHumansMyocardial InfarctionOdds RatioRetrospective StudiesStrokeUnited States

Identifiers

PMID23448114
PMCPMC3989348

What OpenQuestion holds

Textmetadata
LicenceTDM
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.