Evidence map›Paper›PMID 31266515›Full record

ArticleBMC health services research2019

Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study.

Nabilah Rahman, Sheryl Hui-Xian Ng, Sravan Ramachandran, Debby D Wang, Srinath Sridharan, Chuen Seng Tan, Astrid Khoo, Xin Quan Tan

Abstract read
In one paragraph

Article in BMC health services research, 2019. 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
–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

4 citing papers in PubMed.

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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

8 authors.

Nabilah RahmanCentre for Health Services and Policy Research, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, Singapore, Singapore.
Sheryl Hui-Xian NgCentre for Health Services and Policy Research, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, Singapore, Singapore.
Sravan RamachandranCentre for Health Services and Policy Research, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, Singapore, Singapore.
Debby D WangCentre for Health Services and Policy Research, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, Singapore, Singapore.
Srinath SridharanCentre for Health Services and Policy Research, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, Singapore, Singapore.
Chuen Seng TanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, Singapore, Singapore.
Astrid KhooRegional Health System Planning Office, National University Health System, 1E Kent Ridge Road, Singapore, Singapore.
Xin Quan TanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, Singapore, Singapore. kyletanxq@gmail.com.

Funding

National University Health System and National University of Singapore CF/SCL/16/025
6 · The paper itself

Abstract

backgroundAs healthcare expenditure and utilization continue to rise, understanding key drivers of hospital expenditure and utilization is crucial in policy development and service planning. This study aims to investigate micro drivers of hospital expenditure and length of stay (LOS) in an Academic Medical Centre.

methodsData corresponding to 285,767 patients and 207,426 inpatient visits was extracted from electronic medical records of the National University of Hospital in Singapore between 2005 to 2013. Generalized linear models and generalized estimating equations were employed to build patient and inpatient visit models respectively. The patient models provide insight on the factors affecting overall expenditure and LOS, whereas the inpatient visit models provide insight on how expenditure and LOS accumulate longitudinally.

resultsAlthough adjusted expenditure and LOS per inpatient visit were largely similar across socio-economic status (SES) groups, patients of lower SES groups accumulated greater expenditure and LOS over time due to more frequent visits. Admission to a ward class with greater government subsidies was associated with higher expenditure and LOS per inpatient visit. Inpatient death was also associated with higher expenditure per inpatient visit. Conditions that drove patient expenditure and LOS were largely similar, with mental illnesses affecting LOS to a larger extent. These observations on condition drivers largely held true at visit-level.

conclusionsThe findings highlight the importance of distinguishing the drivers of patient expenditure and inpatient utilization at the patient-level from those at the visit-level. This allows better understanding of the drivers of healthcare utilization and how utilization accumulates longitudinally, important for health policy and service planning.

Indexed as

Academic Medical CentersAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHealth ExpendituresHospitalizationHumansInpatientsLength of StayMaleMiddle AgedPatient Acceptance of Health CareRetrospective StudiesYoung AdultElectronic medical recordsHealth serviceHospital resourcesUtilization

Identifiers

PMID31266515
PMCPMC6604431

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.