Evidence map›Paper›PMID 33853590›Full record

ArticleBMC health services research2021

Super fragmented: a nationally representative cross-sectional study exploring the fragmentation of inpatient care among super-utilizers.

Zach Kaltenborn, Koushik Paul, Jonathan D Kirsch, Michael Aylward, Elizabeth A Rogers, Michael T Rhodes, Michael G Usher

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
8.6field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  13. Digital health delivery in respiratory medicine: adjunct, replacement or cause for division?European respiratory review : an official journal of the European Respiratory Society · 2024
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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 at 1 institution in 1 country.

Zach KaltenbornDepartment of Medicine, Division of General Internal Medicine, University of Minnesota Medical School, 420 Delaware St. SE MMC 741, Minneapolis, MN, 55455, USA.
Koushik PaulDepartment of Medicine, Division of General Internal Medicine, University of Minnesota Medical School, 420 Delaware St. SE MMC 741, Minneapolis, MN, 55455, USA.
Jonathan D KirschDepartment of Medicine, Division of General Internal Medicine, University of Minnesota Medical School, 420 Delaware St. SE MMC 741, Minneapolis, MN, 55455, USA.
Michael AylwardDepartment of Medicine, Division of General Internal Medicine, University of Minnesota Medical School, 420 Delaware St. SE MMC 741, Minneapolis, MN, 55455, USA.
Elizabeth A RogersDepartment of Medicine, Division of General Internal Medicine, University of Minnesota Medical School, 420 Delaware St. SE MMC 741, Minneapolis, MN, 55455, USA.
Michael T RhodesDepartment of Medicine, Division of General Internal Medicine, University of Minnesota Medical School, 420 Delaware St. SE MMC 741, Minneapolis, MN, 55455, USA.
Michael G UsherDepartment of Medicine, Division of General Internal Medicine, University of Minnesota Medical School, 420 Delaware St. SE MMC 741, Minneapolis, MN, 55455, USA. mgusher@umn.edu.
University of Minnesota Medical Center · US

Funding

Optimizing Diabetes Care Quality for Low-Income PatientsK23DK118207 · NIDDK · UNIVERSITY OF MINNESOTA · PI ROGERS, ELIZABETH A · 2018 to 2023
$1.3M
6 · The paper itself

Abstract

backgroundSuper-utilizers with 4 or more admissions per year frequently receive low-quality care and disproportionately contribute to healthcare costs. Inpatient care fragmentation (admission to multiple different hospitals) in this population has not been well described.

objectiveTo determine the prevalence of super-utilizers who receive fragmented care across different hospitals and to describe associated risks, costs, and health outcomes. RESEARCH

designWe analyzed inpatient data from the Health Care Utilization Project's State Inpatient and Emergency Department database from 6 states from 2013. After identifying hospital super-utilizers, we stratified by the number of different hospitals visited in a 1-year period. We determined how patient demographics, costs, and outcomes varied by degree of fragmentation. We then examined how fragmentation would influence a hospital's ability to identify super-utilizers. SUBJECTS: Adult patients with 4 or more inpatient stays in 1 year. MEASURES: Patient demographics, cost, 1-year hospital reported mortality, and probability that a single hospital could correctly identify a patient as a super-utilizer.

resultsOf the 167,515 hospital super-utilizers, 97,404 (58.1%) visited more than 1 hospital in a 1-year period. Fragmentation was more likely among younger, non-white, low-income, under-insured patients, in population-dense areas. Patients with fragmentation were more likely to be admitted for chronic disease management, psychiatric illness, and substance abuse. Inpatient fragmentation was associated with higher yearly costs and lower likelihood of being identified as a super-utilizer.

conclusionsInpatient care fragmentation is common among super-utilizers, disproportionately affects vulnerable populations. It is associated with high yearly costs and a decreased probability of correctly identifying super-utilizers.

Indexed as

HospitalizationInpatientsAdultCross-Sectional StudiesEmergency Service, HospitalHealth Care CostsHumansFragmentationHospital super-utilizerSocioeconomic health disparities

Identifiers

PMID33853590
PMCPMC8045386
OpenAlexW3152862960

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.