Evidence map›Paper›PMID 29340940›Full record

ArticleJournal of general internal medicine2018

Characterizing Potentially Preventable Admissions: A Mixed Methods Study of Rates, Associated Factors, Outcomes, and Physician Decision-Making.

Lisa M Daniels, Atsushi Sorita, Deanne T Kashiwagi, Masashi Okubo, Evan Small, Eric C Polley, Adam P Sawatsky

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  4. Admission characteristics of patients with short term hospitalization.Israel journal of health policy research · 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.

Lisa M DanielsDivision of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA.
Atsushi SoritaDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Deanne T KashiwagiDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Masashi OkuboDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Evan SmallDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.
Eric C PolleyDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Adam P SawatskyDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA. sawatsky.adam@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPotentially preventable admissions are a target for healthcare cost containment.

objectiveTo identify rates of, characterize associations with, and explore physician decision-making around potentially preventable admissions.

designA comparative cohort study was used to determine rates of potentially preventable admissions and to identify associated factors and patient outcomes. A qualitative case study was used to explore physicians' clinical decision-making.

participantsPatients admitted from the emergency department (ED) to the general medicine (GM) service over a total of 4 weeks were included as cases (N = 401). Physicians from both emergency medicine (EM) and GM that were involved in the cases were included (N = 82). APPROACH: Physicians categorized admissions as potentially preventable. We examined differences in patient characteristics, admission characteristics, and patient outcomes between potentially preventable and control admissions. Interviews with participating physicians were conducted and transcribed. Transcriptions were systematically analyzed for key concepts regarding potentially preventable admissions. KEY

resultsEM and GM physicians categorized 22.2% (90/401) of admissions as potentially preventable. There were no significant differences between potentially preventable and control admissions in patient or admission characteristics. Potentially preventable admissions had shorter length of stay (2.1 vs. 3.6 days, p < 0.001). There was no difference in other patient outcomes. Physicians discussed several provider, system, and patient factors that affected clinical decision-making around potentially preventable admissions, particularly in the "gray zone," including risk of deterioration at home, the risk of hospitalization, the cost to the patient, and the presence of outpatient resources. Differences in provider training, risk assessment, and provider understanding of outpatient access accounted for differences in decisions between EM and GM physicians.

conclusionsCollaboration between EM and GM physicians around patients in the gray zone, focusing on patient risk, cost, and outpatient resources, may provide an avenues for reducing potentially preventable admissions and lowering healthcare spending.

Indexed as

Clinical Decision-MakingAdultAgedAged, 80 and overCase-Control StudiesCohort StudiesEmergency Service, HospitalFemaleHumansLength of StayMaleMiddle AgedPatient AdmissionPatient TransferQualitative Researchavoidable admissionshealth care costsmedical decision-makingpotentially preventable admissionsrisk assessment

Identifiers

PMID29340940
PMCPMC5910342

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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.