Evidence map›Paper›PMID 37753415›Full record

ArticleHCA healthcare journal of medicine2023

Who Left the Hospital Against Medical Advice During the Early COVID-19 Pandemic?

Bryan Werner, Se Won Lee

Open access · diamondAbstract read
In one paragraph

Article in HCA healthcare journal of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Bryan WernerSunrise Hospital & Medical Center, Las Vegas, NV.
Se Won LeeSunrise Hospital & Medical Center, Las Vegas, NV.
Sunrise Hospital & Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients leaving against medical advice (AMA) presents a challenge to hospitals as they try to manage costs and improve patient outcomes in an ever-increasing competitive market. Investigating AMA discharges that occurred during the early COVID-19 pandemic presents a unique opportunity to better understand this phenomenon and be better prepared for the future. Methods: This retrospective analysis of 34 379 patients from a nationwide private healthcare system across 20 states analyzed patients during the early stages of the pandemic who chose to leave against medical advice (AMA) after being admitted with COVID-19 infection and identified several patient characteristics associated with subsequent AMA discharge. Results: These patient characteristics included being younger than 50; identifying as male sex; having non-white ethnicity, including both Black and Hispanic; having either Medicaid or no health insurance; and the presence of specific medical comorbidities. The identified medical comorbidities were substance abuse, renal failure, deep vein thrombosis, hypertension with heart failure, hypertension with chronic kidney disease stage 5, rheumatoid arthritis or collagen vascular diseases, alcohol abuse, chronic pulmonary disease, hypertensive encephalopathy, and solid tumor. Conclusion: This study confirms some of the findings in previous studies looking at AMA discharges and has some interesting findings as it relates specifically to the COVID-19-infected patient population. An additional understanding of the factors leading to AMA discharges can help providers and administrators prevent suboptimal discharge outcomes in the future.

Indexed as

AMA dischargeCOVID-19hospitalizationpatient carepatient dischargeSARS-CoV-2social determinants of healthtreatment refusaltreatment refusal/trends

Identifiers

PMID37753415
PMCPMC10519635
OpenAlexW4386396299

What OpenQuestion holds

Textmetadata
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.