Evidence map›Paper›PMID 39079725›Full record

ArticleBMJ open2024

Economic evaluation of the hospitalist care model in an acute medical unit: a benefit-cost analysis.

Hyun Jeong Kim, Jinhyun Kim, Jung Hun Ohn, Nak-Hyun Kim

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Hyun Jeong KimCollege of Nursing, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0003-1993-0593
Jinhyun KimCollege of Nursing, Seoul National University, Seoul, Republic of Korea jinhyun@snu.ac.kr.ORCID 0000-0001-7141-1606
Jung Hun OhnInternal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-5415-4505
Nak-Hyun KimInternal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-1134-1364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to assess the economic efficiency of the acute medical unit (AMU) hospitalist care model, utilising patient outcomes (length of hospital stay, emergency department (ED)-length of hospital stay, in-hospital mortality) from a previous investigation.

designA retrospective cohort study was conducted using benefit-cost analysis from a societal perspective. Data relating to clinical factors, outcomes and medical costs were obtained from the electronic medical record database at our institution. Literature-based costing was applied to determine direct non-medical costs and indirect costs that could not be obtained directly.

settingA tertiary care hospital in the Republic of Korea.

participantsWe evaluated 6391 medical inpatients admitted through the ED from 1 June 2016 to 31 May 2017.

interventionsThe study compared multiple types of costs and benefits among inpatients from the ED between a non-hospitalist group and an AMU hospitalist group.

conclusionsThe AMU hospitalist care model was associated with remarkable reductions in multiple costs. The results of the sensitivity analysis indicated that the net-benefit estimates of AMU hospitalist care were similar to the baseline estimates. Thus, the overall net-benefit of AMU hospitalist care was found to be largely positive.

Indexed as

Cost-Benefit AnalysisEmergency Service, HospitalHospitalistsHospital MortalityLength of StayAdultAgedFemaleHospital CostsHumansMaleMiddle AgedRepublic of KoreaRetrospective StudiesTertiary Care CentersHealth economicsHealth policyHealth & safetyHealth ServicesPUBLIC HEALTHSafety

Identifiers

PMID39079725
PMCPMC11293380

What OpenQuestion holds

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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.