Evidence map›Paper›PMID 23624204›Full record

ArticleEvaluation and program planning2013

Updating the FORECAST formative evaluation approach and some implications for ameliorating theory failure, implementation failure, and evaluation failure.

Jason Katz, Abraham Wandersman, Robert M Goodman, Sarah Griffin, Dawn K Wilson, Michael Schillaci

Abstract read
In one paragraph

Article in Evaluation and program planning, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

6 authors.

Jason KatzUniversity of South Carolina, Department of Psychology, Columbia, SC 29208, USA. katzj@mailbox.sc.edu
Abraham Wandersman
Robert M Goodman
Sarah Griffin
Dawn K Wilson
Michael Schillaci

Funding

Improving safety and access for physical activity supplementR01DK067615 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI WILSON, DAWN K · 2007 to 2010
$3.2M
NIDDK NIH HHS R01 DK067615
6 · The paper itself

Abstract

Historically, there has been considerable variability in how formative evaluation has been conceptualized and practiced. FORmative Evaluation Consultation And Systems Technique (FORECAST) is a formative evaluation approach that develops a set of models and processes that can be used across settings and times, while allowing for local adaptations and innovations. FORECAST integrates specific models and tools to improve limitations in program theory, implementation, and evaluation. In the period since its initial use in a federally funded community prevention project in the early 1990s, evaluators have incorporated important formative evaluation innovations into FORECAST, including the integration of feedback loops and proximal outcome evaluation. In addition, FORECAST has been applied in a randomized community research trial. In this article, we describe updates to FORECAST and the implications of FORECAST for ameliorating failures in program theory, implementation, and evaluation.

Indexed as

Health Plan ImplementationHumansModels, OrganizationalOutcome and Process Assessment, Health CareProgram EvaluationUnited States

Identifiers

PMID23624204
PMCPMC4018200

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.