Evidence map›Paper›PMID 38900737›Full record

ArticlePloS one2024

Healthcare utilization 9 months pre- and post- COVID-19 hospitalization among patients discharged alive.

Mohammed Zaidan, Daniel Puebla Neira, Efstathia Polychronopoulou, Kuo Yong-Fang, Gulshan Sharma

Abstract read
In one paragraph

Article in PloS one, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Mohammed ZaidanDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Texas Medical Branch (UTMB), Galveston, TX, United States of America.ORCID 0000-0002-9610-4853
Daniel Puebla NeiraDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Arizona College of Medicine, Phoenix, AZ, United States of America.
Efstathia PolychronopoulouOffice of Biostatistics, University of Texas Medical Branch (UTMB), Galveston, TX, United States of America.ORCID 0000-0002-6126-6465
Kuo Yong-FangOffice of Biostatistics, University of Texas Medical Branch (UTMB), Galveston, TX, United States of America.ORCID 0000-0003-1927-0927
Gulshan SharmaDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Texas Medical Branch (UTMB), Galveston, TX, United States of America.

Funding

Translational Approaches to Health Disparities in Lung, Sleep, and PandemicsR25HL126140 · NHLBI · UNIVERSITY OF ARIZONA · PI FRANCISCO A MORENO, JANKO Z. NIKOLICH · 2014 to 2026
$4.6M
NHLBI NIH HHS R25 HL126140
6 · The paper itself

Abstract

backgroundEmerging evidence suggests that there is an increase in healthcare utilization (HCU) in patients due to Coronavirus Disease 2019 (COVID-19). We investigated the change in HCU pre and post hospitalization among patients discharged home from COVID-19 hospitalization for up to 9 months of follow up. STUDY DESIGN AND

methodsThis retrospective study from a United States cohort used Optum® de-identified Clinformatics Data Mart; it included adults discharged home post hospitalization with primary diagnosis of COVID-19 between April 2020 and March 2021. We evaluated HCU of patients 9 months pre and post -discharge from index hospitalization. We defined HCU as emergency department (ED), inpatient, outpatient (office), rehabilitation/skilled nursing facility (SNF), telemedicine visits, and length of stay, expressed as number of visits per 10,000 person-days.

resultsWe identified 63,161 patients discharged home after COVID-19 hospitalization. The cohort of patients was mostly white (58.8%) and women (53.7%), with mean age 72.4 (SD± 12) years. These patients were significantly more likely to have increased HCU in the 9 months post hospitalization compared to the 9 months prior. Patients had a 47%, 67%, 65%, and 51% increased risk of ED (rate ratio 1.47; 95% CI 1.45-1.49; p < .0001), rehabilitation (rate ratio 1.67; 95% CI 1.61-1.73; p < .0001), office (rate ratio1.65; 95% CI 1.64-1.65; p < .0001), and telemedicine visits (rate ratio 1.5; 95% CI 1.48-1.54; p < .0001), respectively. We also found significantly different rates of HCU for women compared to men (women have higher risk of ED, rehabilitation, and telemedicine visits but a lower risk of inpatient visits, length of stay, and office visits than men) and for patients who received care in the intensive care unit (ICU) vs those who did not (ICU patients had increased risk of ED, inpatient, office, and telemedicine visits and longer length of stay but a lower risk of rehabilitation visits). Outpatient (office) visits were the highest healthcare service utilized post discharge (64.5% increase). Finally, the risk of having an outpatient visit to any of the specialties studied significantly increased post discharge. Interestingly, the risk of requiring a visit to pulmonary medicine was the highest amongst the specialties studied (rate ratio 3.35, 95% CI 3.26-3.45, p < .0001).

conclusionHCU was higher after index hospitalization compared to 9 months prior among patients discharged home post-COVID-19 hospitalization. The increases in HCU may be driven by those patients who received care in the ICU.

Indexed as

COVID-19HospitalizationPatient Acceptance of Health CarePatient DischargeTelemedicineAgedAged, 80 and overEmergency Service, HospitalFemaleHumansLength of StayMaleMiddle AgedRetrospective StudiesSARS-CoV-2Skilled Nursing Facilities

Identifiers

PMID38900737
PMCPMC11189225

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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.