Evidence map›Paper›PMID 30564921›Full record

ArticleWorld journal of surgery2019

Understanding Disparities in Surgical Outcomes for Medicaid Beneficiaries.

Jake Claflin, Justin B Dimick, Darrell A Campbell, Michael J Englesbe, Kyle H Sheetz

Abstract read
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In one paragraph

Article in World journal of surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Systematic review of prediction models for postacute care destination decision-making.Journal of the American Medical Informatics Association : JAMIA · 2021
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Association Between Medicaid Status, Social Determinants of Health, and Bariatric Surgery Outcomes.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2021
    Article
  7. 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

5 authors at 2 institutions in 1 country.

Jake ClaflinDepartment of Surgery, University of Michigan Medical School, 1500 E. Medical Center Drive, 2110 Taubman Center, Ann Arbor, MI, 48109, USA.
Justin B DimickDepartment of Surgery, University of Michigan Medical School, 1500 E. Medical Center Drive, 2110 Taubman Center, Ann Arbor, MI, 48109, USA.
Darrell A CampbellDepartment of Surgery, University of Michigan Medical School, 1500 E. Medical Center Drive, 2110 Taubman Center, Ann Arbor, MI, 48109, USA.
Michael J EnglesbeDepartment of Surgery, University of Michigan Medical School, 1500 E. Medical Center Drive, 2110 Taubman Center, Ann Arbor, MI, 48109, USA.
Kyle H SheetzDepartment of Surgery, University of Michigan Medical School, 1500 E. Medical Center Drive, 2110 Taubman Center, Ann Arbor, MI, 48109, USA. ksheetz@med.umich.edu.
A. Alfred Taubman Health Care Center · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies have evaluated whether outcome disparities between Medicaid and private insurance beneficiaries are driven by the hospital at which the patient receives care. The purpose of this study was to evaluate the effect of the hospital on surgical outcomes in Medicaid beneficiaries.

methodsWe identified 139,566 non-elderly Medicaid and private insurance beneficiaries undergoing general, vascular, or gynecological surgery between 2012 and 2017 using a statewide clinical registry in Michigan. We calculated risk-adjusted rates of complications, readmissions, emergency department (ED) visits, and post-acute care utilization using multivariable logistic regression, accounting for patient and procedural factors. We then evaluated whether, and to what extent, the hospital influenced outcome disparities between Medicaid and privately insured beneficiaries.

resultsRisk-adjusted rates for all outcomes were higher in Medicaid beneficiaries. For example, overall post-discharge ED visit rates were 14.3% (95% CI 13.7% to 14.9%) for Medicaid compared to 7.5% (95% CI 7.1% to 7.9%, P < 0.01) for private insurance beneficiaries. Hospital factors explained 3.9% of the observed difference in complication rates between Medicaid and private insurance beneficiaries. In contrast, hospital factors explained a greater proportion of the disparities in readmissions (30.6%), ED visits (33.0%), and post-acute care utilization (16.1%). Results were similar when restricting the study population to elective cases only.

conclusionsHospital factors account for a significant proportion of the disparities in post-discharge resource utilization between Medicaid and private insurance beneficiaries. Policies aiming to improve the quality and equity of surgical care for Medicaid beneficiaries should focus on the post-discharge period.

Indexed as

Healthcare DisparitiesMedicaidSurgical Procedures, OperativeAdultDiagnosis-Related GroupsEmergency Service, HospitalFemaleHumansInsurance, HealthLogistic ModelsMaleMichiganMiddle AgedPatient Acceptance of Health CarePatient ReadmissionPostoperative Complications

Identifiers

PMID30564921
OpenAlexW2905470012

What OpenQuestion holds

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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.