Evidence map›Paper›PMID 22615533›Full record

ArticleInternational journal of general medicine2012

Evolving forecasting classifications and applications in health forecasting.

Ireneous N Soyiri, Daniel D Reidpath

Abstract read
In one paragraph

Article in International journal of general medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  13. Informing management on the future structure of hospital care: an extrapolation of trends in demand and costs in lung diseases.The European journal of health economics : HEPAC : health economics in prevention and care · 2016
    Article
  14. Review
  15. Article
  16. An overview of health forecasting.Environmental health and preventive medicine · 2013
    Review
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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

2 authors.

Ireneous N SoyiriGlobal Public Health, JCSMHS, MONASH University, Selangor, Malaysia.
Daniel D Reidpath

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health forecasting forewarns the health community about future health situations and disease episodes so that health systems can better allocate resources and manage demand. The tools used for developing and measuring the accuracy and validity of health forecasts commonly are not defined although they are usually adapted forms of statistical procedures. This review identifies previous typologies used in classifying the forecasting methods commonly used in forecasting health conditions or situations. It then discusses the strengths and weaknesses of these methods and presents the choices available for measuring the accuracy of health-forecasting models, including a note on the discrepancies in the modes of validation.

Indexed as

accuracycross validationelectronic health recordshealth datahealth forecastmethodstrengths and limitations

Identifiers

PMID22615533
PMCPMC3355849

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.