Evidence map›Paper›PMID 17372299›Full record

ArticleJournal of epidemiology and community health2007

Validity of predictions in health impact assessment.

J Lennert Veerman, Johan P Mackenbach, Jan J Barendregt

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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.

J Lennert VeermanDepartment of Public Health, Erasmus Medical Centre, PO Box 1738, 3000 DR Rotterdam, The Netherlands. j.veerman@erasmusmc.nl
Johan P Mackenbach
Jan J Barendregt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn essential characteristic of health impact assessment (HIA) is that it seeks to predict the future consequences of possible decisions for health. These predictions have to be valid, but as yet it is unclear how validity should be defined in HIA.

aimsTo examine the philosophical basis for predictions and the relevance of different forms of validity to HIA.

conclusionsHIA is valid if formal validity, plausibility and predictive validity are in order. Both formal validity and plausibility can usually be established, but establishing predictive validity implies outcome evaluation of HIA. This is seldom feasible owing to long time lags, migration, measurement problems, a lack of data and sensitive indicators, and the fact that predictions may influence subsequent events. Predictive validity most often is not attainable in HIA and we have to make do with formal validity and plausibility. However, in political science, this is by no means exceptional.

Indexed as

Decision Making, OrganizationalHealth StatusForecastingHealth Planning GuidelinesHealth PolicyHealth Status IndicatorsHumansPhilosophy, MedicalPolicy MakingPublic HealthReproducibility of Results

Identifiers

PMID17372299
PMCPMC2652952

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.