Evidence map›Paper›PMID 10623380›Full record

ArticlePharmacoEconomics1999

A pharmacoeconomic model for the treatment of influenza.

J A Mauskopf, S C Cates, A D Griffin

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Trial
  3. 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 at 2 institutions in 2 countries.

J A MauskopfResearch Triangle Institute, Research Triangle Park, North Carolina, USA.
S C Cates
A D Griffin
RTI International · USWellcome Library · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to develop a generic treatment algorithm for influenza and influenza-like illness (ILI) that could be used to estimate the costs and outcomes of current and new treatments for influenza in different countries for different patient subgroups.

methodsA series of possible treatment pathways was identified and the probabilities of different patient subgroups following each pathway were estimated by using the published literature. The health outcomes and health service use and unit costs for each pathway were estimated from trial data and standard data sources. An interactive computer model was created, the base-case input parameter values were assigned, and estimates of the current costs of influenza and ILI in different population subgroups estimated. Sensitivity analyses were performed by changing input parameter values.

resultsThe average healthcare cost of influenza and ILI per person in the US was $US72 for the general population and $US330 for a high risk population (1997 values). The average total cost per patient (healthcare cost plus productivity losses) was $US320 for the general population and $US546 for a high risk population. These costs are sensitive to changes in the proportion of patients visiting a physician and to the proportion of patients hospitalised with complications of the disease. Days to alleviate major symptoms and other health outcome measures are sensitive to the percentage of patients who receive antiviral therapy as well as to the efficacy of this therapy.

conclusionsThe costs and health outcomes of influenza and ILI depend on the extent to which patients visit a physician, the use of antiviral drugs, and the incidence of complications requiring hospital care. The computer model will allow decision-makers to assess the cost effectiveness and the potential budget impact of new antivirals for treating influenza.

Indexed as

Economics, PharmaceuticalAlgorithmsAntiviral AgentsComputer SimulationHospitalizationHumansInfluenza, HumanTreatment OutcomeAntiviral Agents

Identifiers

PMID10623380
OpenAlexW2016525580

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.