Evidence map›Paper›PMID 30338588›Full record

ArticleHealth economics2019

Excess influenza hospital admissions and costs due to the 2009 H1N1 pandemic in England.

Krystal Lau, Katharina Hauck, Marisa Miraldo

Abstract read
In one paragraph

Article in Health economics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. COVID-19 health policy evaluation: integrating health and economic perspectives with a data envelopment analysis approach.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. 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

3 authors.

Krystal LauDepartment of Management, Imperial College Business School, London, UK.ORCID 0000-0002-3295-3979
Katharina HauckDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.ORCID 0000-0003-3138-4169
Marisa MiraldoDepartment of Management, Imperial College Business School, London, UK.ORCID 0000-0002-5772-7740

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

Influenza pandemics considerably burden affected health systems due to surges in inpatient admissions and associated costs. Previous studies underestimate or overestimate 2009/2010 influenza A/H1N1 pandemic hospital admissions and costs. We robustly estimate overall and age-specific weekly H1N1 admissions and costs between June 2009 and March 2011 across 170 English hospitals. We calculate H1N1 admissions and costs as the difference between our administrative data of all influenza-like-illness patients (seasonal and pandemic alike) and a counterfactual of expected weekly seasonal influenza admissions and costs established using time-series models on prepandemic (2004-2008) data. We find two waves of H1N1 admissions: one pandemic wave (June 2009-March 2010) with 10,348 admissions costing £20.5 million and one postpandemic wave (November 2010-March 2011) with 11,775 admissions costing £24.8 million. Patients aged 0-4 years old have the highest H1N1 admission rate, and 25- to 44- and 65+-year-olds have the highest costs. Our estimates are up to 4.3 times higher than previous reports, suggesting that the pandemic's burden on hospitals was formerly underassessed. Our findings can help hospitals manage unexpected surges in admissions and resource use due to pandemics.

Indexed as

Influenza A Virus, H1N1 SubtypeAdolescentAdultAgedChildChild, PreschoolCost of IllnessEnglandFemaleHealth Care CostsHospitalizationHumansInfantInfant, NewbornInfluenza, HumanMalecostH1N1 pandemichospital admissionsSARIMAtime series

Identifiers

PMID30338588
PMCPMC6491983

What OpenQuestion holds

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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.