Evidence map›Paper›PMID 28029380›Full record

ArticleSurgery2017

Do hospital factors impact readmissions and mortality after colorectal resections at minority-serving hospitals?

Elizabeth M Hechenbleikner, Chaoyi Zheng, Samuel Lawrence, Young Hong, Nawar M Shara, Lynt B Johnson, Waddah B Al-Refaie

Abstract read
In one paragraph

Article in Surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Alternative Approaches to Characterizing Disparate Care by Race, Ethnicity, and Insurance Between Hospitals.International journal of environmental research and public health · 2025
    Article
  2. Article
  3. Review
  4. Value of Ambulatory Modified Radical Mastectomy.Annals of surgical oncology · 2023
    Article
  5. Data resource profile: State Inpatient Databases.International journal of epidemiology · 2019
    Article
  6. Article
  7. Article
  8. Readmissions after colorectal surgery: not all are equal.International journal of colorectal disease · 2018
    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

7 authors.

Elizabeth M HechenbleiknerDepartment of Surgery, MedStar Georgetown University Hospital, Washington, DC.
Chaoyi ZhengDepartment of Surgery, MedStar Georgetown University Hospital, Washington, DC; Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC.
Samuel LawrenceDepartment of Surgery, MedStar Georgetown University Hospital, Washington, DC.
Young HongDepartment of Surgery, MedStar Georgetown University Hospital, Washington, DC.
Nawar M SharaMedStar-Georgetown Surgical Outcomes Research Center, Washington, DC; MedStar Health Research Institute, Washington, DC.
Lynt B JohnsonDepartment of Surgery, MedStar Georgetown University Hospital, Washington, DC.
Waddah B Al-RefaieDepartment of Surgery, MedStar Georgetown University Hospital, Washington, DC; MedStar-Georgetown Surgical Outcomes Research Center, Washington, DC; MedStar Health Research Institute, Washington, DC; Georgetown Lombardi Comprehensive Cancer Center, Washington, DC. Electronic address: wba6@georgetown.edu.

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
NCATS NIH HHS UL1 TR001409NCI NIH HHS P30 CA051008
6 · The paper itself

Abstract

backgroundMinority-serving hospitals have greater readmission rates after operative procedures including colectomy; however, little is known about the contribution of hospital factors to readmission risk and mortality in this setting. This study evaluated the impact of hospital factors on readmissions and inpatient mortality after colorectal resections at minority-serving hospitals in the context of patient- and procedure-related factors.

methodsMore than 168,000 patients who underwent colorectal resections in 374 California hospitals (2004-2011) were analyzed using the State Inpatient Database and American Hospital Association Hospital Survey data. Sequential logistic regression analyses were performed to determine the associations between minority-serving hospital status and 30-day, 90-day, and repeated readmissions.

resultsThirty-day, 90-day, and repeated readmission rates were 11.2%, 16.9%, and 2.9%, respectively. Odds for 30-day, 90-day, and repeated readmissions after colorectal resections were 19%, 20%, and 38% more likely at minority-serving hospitals versus non-minority-serving hospitals, respectively (P < .01), after controlling for age, sex, comorbidities, year, and procedure type. Patient factors accounted for up to 65% of the observed increase in odds for readmission at minority-serving hospitals while hospital-level factors contributed roughly 40%. Inpatient mortality was significantly greater at minority-serving hospitals versus non-minority-serving hospitals (4.9% vs 3.8%; P < .001). Risk factors significantly associated with readmissions and inpatient mortality included Medicaid/Medicare primary insurance, emergent operation, and ostomy creation. Low procedure volume was significantly associated with increased odds for inpatient mortality.

conclusionPatient-level factors seemed to dominate the increased readmission risk after colorectal resections at minority-serving hospitals while hospital factors were less contributory. These findings need to be further validated to shape quality improvement interventions to decrease readmissions.

Indexed as

AdolescentAdultAgedCaliforniaColectomyColorectal NeoplasmsFemaleHospital MortalityHumansLogistic ModelsMaleMiddle AgedMinority GroupsPatient ReadmissionPostoperative ComplicationsRetrospective Studies

Identifiers

PMID28029380
PMCPMC5702938

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Registered trials

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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.