Evidence map›Paper›PMID 31379464›Full record

ArticleEvaluation (London, England : 1995)2019

Evaluability assessment: An application in a complex community improvement setting.

Richard Brunner, Peter Craig, Nick Watson

Abstract read
In one paragraph

Article in Evaluation (London, England : 1995), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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.

Richard BrunnerUniversity of Glasgow, UK.ORCID https://orcid.org/0000-0003-1436-7404
Peter CraigUniversity of Glasgow, UK.
Nick WatsonUniversity of Glasgow, UK.

Funding

Medical Research Council MC_UU_12017/15
6 · The paper itself

Abstract

Evaluation is essential to understand whether and how policies and other interventions work, why they sometimes fail, and whether they represent a good use of resources. Evaluability assessment (EA) is a means of collaboratively planning and designing evaluations, seeking to ensure they generate relevant and robust evidence that supports decision-making and contributes to the wider evidence base. This article reports on the context, the process undertaken and evidence from participants in an EA facilitated with public service workers involved in implementing a complex, area-based community improvement initiative. This is a novel context in which to conduct an EA. We show how the process allows practitioners at all levels to identify activities for evaluation and co-produce the theory of change developed through the EA. This enables evaluation recommendations to be developed that are relevant to the implementation of the programme, and which take account of available data and resources for evaluation.

Indexed as

area-basedcollaborationevaluability assessmentpublic servicestheory of change

Identifiers

PMID31379464
PMCPMC6628461

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.