Evidence map›Paper›PMID 37308952›Full record

ArticleBMC health services research2023

Predictors of readmission in a medical department of a tertiary university hospital in the Philippines.

Janika Adrienne L Balane, Celina Daia Dg Yap, Cary Amiel G Villanueva, Lia Aileen M Palileo-Villanueva, Diana R Tamondong-Lachica

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Janika Adrienne L BalaneDepartment of Medicine, University of the Philippines- Philippine General Hospital, Manila, Philippines. janikaadrienne@gmail.com.
Celina Daia Dg YapDepartment of Medicine, University of the Philippines- Philippine General Hospital, Manila, Philippines.
Cary Amiel G VillanuevaDepartment of Medicine, University of the Philippines- Philippine General Hospital, Manila, Philippines.
Lia Aileen M Palileo-VillanuevaUniversity of the Philippines-College of Medicine, University of the Philippines Manila, Manila, Philippines.
Diana R Tamondong-LachicaDepartment of Medicine, Division of Adult Medicine, University of the Philippines- Philippine General Hospital, Manila, Philippines.
Philippine General Hospital · PHUniversity of the Philippines Manila · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying factors that increase the risk for hospital readmission helps in determining potential targets for quality improvement efforts. The main objective of this study was to examine factors that predict increased risk of hospital readmission within 30 days of hospital discharge of patients under the General Medicine service of a tertiary government hospital in Manila, Philippines.

methodsWe performed a retrospective cohort study which included service patients 19 years old and above readmitted within 30 days following discharge. A total of 324 hospital readmissions within 30 days of discharge from January 1 to December 31, 2019 were reviewed. We estimated the rate of 30-day readmission and identified factors associated with preventable readmissions using multivariable logistic regression.

resultsOf the 4,010 hospitalizations under General Medicine service in 2019, 602 (18%) were readmissions within 30 days of discharge, majority of which were related to the index admission (90%) and unplanned (68%). Predictors of preventable readmission were emergency readmission (OR 3.37, 95% CI 1.72 to 6.60), having five to ten medications at discharge (OR 1.78, 95% CI 1.10 to 2.87), and presence of nosocomial infection (OR 1.86, 95% CI 1.09 to 3.17). The most frequent reason for readmission among preventable ones is health-care related infection (42.9%).

conclusionsWe identified factors which increased the likelihood of preventable readmissions such as type of readmission, number of medications per day, and presence of nosocomial infections. We propose that these issues be addressed to improve healthcare delivery and reduce readmission-related expenditures. Further studies should be pursued to identify impactful evidence-based practices.

Indexed as

Cross InfectionPatient ReadmissionAdultHospitals, UniversityHumansPhilippinesRetrospective StudiesTertiary Care CentersYoung AdultHealth serviceHospital readmissionPredictorsQuality improvement

Identifiers

PMID37308952
PMCPMC10258940
OpenAlexW4380370391

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.