Worth the wait: The impact of government funding on hospital emergency waiting times.

Dana McQuestin, Masayoshi Noguchi

Abstract read

In one paragraph

Article in Health policy (Amsterdam, Netherlands), 2020. 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.

RETRACTED: Inclined analysis of water diversion project supply chain profits in the occurrence of whole supply chain damage in undeveloped regions of China.PloS one · 2023
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.

Dana McQuestinTokyo Metropolitan University, 1 Chome-1 Minamiosawa, Hachioji, Tokyo, 192-0397, Japan; University of Technology Sydney, 15 Broadway, Ultimo NSW 2007, Australia. Electronic address: dmcquest@outlook.com.

Masayoshi NoguchiTokyo Metropolitan University, 1 Chome-1 Minamiosawa, Hachioji, Tokyo, 192-0397, Japan. Electronic address: m-noguchi@tmu.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the absence of a price mechanism, emergency department waiting times act as a rationing device to equate demand for treatment with available supply. Sustained increases to demand stemming from population growth, aging populations, and rising comorbidities has caused waiting times internationally to rise. This has resulted in increased calls for higher funding from governments and commitments from both state and national governments to address excessive waiting times. This paper aims to determine the effectiveness of government funding for improving the median waiting times for treatment and the proportion of patients seen within clinically recommended waiting times. For this purpose, an econometric analysis was conducted on a panel of data on Victorian local health networks over the period 2015-2018. This is supplemented with a discussion of the alternative measures which governments might take to both address demand for emergency treatment, and also ensure that waiting time reductions can be maintained over the long-term.

Indexed as

Emergency Service, HospitalWaiting ListsGovernmentHospitalsHumansTime FactorsEmergency waiting timesHealth econometricsHealth policyHospital funding

Identifiers

PMID33012539

DOI10.1016/j.healthpol.2020.09.008

PMCPMC7518852

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.