Evidence map›Paper›PMID 28288254›Full record

ArticleJAMA internal medicine2017

Variation in Physician Spending and Association With Patient Outcomes.

Yusuke Tsugawa, Ashish K Jha, Joseph P Newhouse, Alan M Zaslavsky, Anupam B Jena

Abstract read
In one paragraph

Article in JAMA internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Is more better? A multilevel analysis of percutaneous coronary intervention hospital openings and closures on patient volumes.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yusuke TsugawaDepartment of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts2Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts3Harvard Global Health Institute, Cambridge, Massachusetts.
Ashish K JhaDepartment of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts2Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts3Harvard Global Health Institute, Cambridge, Massachusetts4VA Boston Healthcare System, Boston, Massachusetts.
Joseph P NewhouseDepartment of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts5Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts6National Bureau of Economic Research, Cambridge, Massachusetts7Harvard Kennedy School, Cambridge, Massachusetts.
Alan M ZaslavskyDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Anupam B JenaDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts6National Bureau of Economic Research, Cambridge, Massachusetts8Department of Medicine, Massachusetts General Hospital, Boston.

Funding

Physician Determinants of Health Care Spending, Quality, and Patient OutcomesDP5OD017897 · OD · HARVARD MEDICAL SCHOOL · PI JENA, ANUPAM BAPU · 2013 to 2017
$2.1M
NIH HHS DP5 OD017897
6 · The paper itself

Abstract

Importance: While the substantial variation in health care spending across regions and hospitals is well known, key clinical decisions are ultimately made by physicians. However, the degree to which spending varies across physicians and the clinical consequences of that variation are unknown. Objective: To investigate variation in spending across physicians and its association with patient outcomes. Design, Setting, and Participants: For this retrospective data analysis, we analyzed a 20% random sample of Medicare fee-for-service beneficiaries 65 years and older who were hospitalized with a nonelective medical condition and treated by a general internist between January 1, 2011, and December 31, 2014. We first quantified the proportion of variation in Medicare Part B spending attributable to hospitals, physicians, and patients. We then examined the association between physician spending and patient outcomes, adjusted for patient and physician characteristics and hospital fixed effects (effectively comparing physicians within the same hospital). Our primary analysis focused on hospitalist physicians, whose patients are plausibly quasirandomized within a hospital based on physician work schedule. A secondary analysis focused on general internists overall. To ensure that patient illness severity did not directly affect physician spending estimates, we calculated physicians' spending levels in 2011 through 2012 and examined outcomes of their patients in 2013 and 2014. Exposures: Physicians' adjusted Part B spending level in 2011 through 2012. Main Outcomes and Measures: Patients' 30-day mortality and readmission rates in 2013 and 2014. Results: To determine the amount of variation across physicians we included 485 016 hospitalizations treated by 21 963 physicians at 2837 acute care hospitals for the analysis of hospitalists and 839 512 hospitalizations treated by 50 079 physicians at 3195 acute care hospitals for the analysis of general internists. Variation in spending across physicians within hospital was larger than variation across hospitals (for hospitalists, 8.4% across physicians vs 7.0% across hospitals; for general internists, 10.5% across physicians vs 6.2% across hospitals). Higher physician spending was not associated with lower 30-day mortality (adjusted odds ratio [aOR] for additional $100 in physician spending, 1.00; 95% CI, 0.98-1.01; P = .47) or readmissions (aOR, 1.00; 95% CI, 0.99-1.01; P = .54) for hospitalists within the same hospital. We observed similar patterns among general internists. Conclusions and Relevance: Health care spending varies more across individual physicians than across hospitals. However, higher physician spending is not associated with better outcomes of hospitalized patients. Our findings suggest policies targeting both physicians and hospitals may be more effective in reducing wasteful spending than policies focusing solely on hospitals.

Indexed as

HospitalistsInternal MedicineMortalityAgedAged, 80 and overCost SavingsFee-for-Service PlansHealth ExpendituresHospitalizationHumansLogistic ModelsMedicare Part BMultivariate AnalysisOdds RatioPatient ReadmissionPractice Patterns, Physicians'

Identifiers

PMID28288254
PMCPMC5470365

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.