Observational studyBMC infectious diseases2020
Neighborhood disadvantage and 30-day readmission risk following Clostridioides difficile infection hospitalization.
Observational study in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Catalyzing real-world change through exposome research.Neurotoxicology · 2026Review
- Clostridioides difficile infection among patients with type 2 diabetes mellitus.Internal and emergency medicine · 2026Article
- Evaluating Disparities in Recurrent Clostridioides difficile Infection and Fecal Microbiota Transplant Treatment Using Geospatial and Social Vulnerability Analytic Tools.Gastroenterology · 2025Article
- Individual- and Community-Level Socioeconomic Status and Deceased Donor Renal Transplant Outcomes.Journal of racial and ethnic health disparities · 2025Article
- Area-based Deprivation Indices and Healthcare-Associated Infections: A Narrative Review of Evidence.Current infectious disease reports · 2025Review
- A Systematic Literature Review on Risk Factors for and Timing of Clostridioides difficile Infection in the United States.Infectious diseases and therapy · 2024Review
- Patient Experiences with Clostridioides difficile Infection and Its Treatment: A Systematic Literature Review.Infectious diseases and therapy · 2023Review
- Trends in and Risk Factors for Recurrent Clostridioides difficile Infection, New Haven County, Connecticut, USA, 2015-2020.Emerging infectious diseases · 2023Review
- Risk factor for 31-day unplanned readmission to hospital in patients with pulmonary tuberculosis in China.Saudi medical journal · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundClostridioides difficile infection (CDI) is commonly associated with outcomes like recurrence and readmission. The effect of social determinants of health, such as 'neighborhood' socioeconomic disadvantage, on a CDI patient's health outcomes is unclear. Living in a disadvantaged neighborhood could interfere with a CDI patient's ability to follow post-discharge care recommendations and the success probability of these recommendations, thereby increasing risk of readmission. We hypothesized that neighborhood disadvantage was associated with 30-day readmission risk in Medicare patients with CDI.
methodsIn this retrospective cohort study, odds of 30-day readmission for CDI patients are evaluated controlling for patient sociodemographics, comorbidities, and hospital and stay-level variables. The cohort was created from a random 20% national sample of Medicare patients during the first 11 months of 2014.
resultsFrom the cohort of 19,490 patients (39% male; 80% white; 83% 65 years or older), 22% were readmitted within 30 days of an index stay. Unadjusted analyses showed that patients from the most disadvantaged neighborhoods were readmitted at a higher rate than those from less disadvantaged neighborhoods (26% vs. 21% rate: unadjusted OR = 1.32 [1.20, 1.45]). This relationship held in adjusted analyses, in which residence in the most disadvantaged neighborhoods was associated with 16% increased odds of readmission (adjusted OR = 1.16 [1.04, 1.28]).
conclusionsResidence in disadvantaged neighborhoods poses a significantly increased risk of readmission in CDI patients. Further research should focus on in-depth assessments of this population to better understand the mechanisms underlying these risks and if these findings apply to other infectious diseases.
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