Evidence map›Paper›PMID 20018108›Full record

ArticleHealth research policy and systems2009

SUPPORT tools for evidence-informed policymaking in health 18: Planning monitoring and evaluation of policies.

Atle Fretheim, Andrew D Oxman, John N Lavis, Simon Lewin

Abstract read
In one paragraph

Article in Health research policy and systems, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
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  12. Review
  13. Barriers and Enablers to Enacting Child and Youth Related Injury Prevention Legislation in Canada.International journal of environmental research and public health · 2016
    Article
  14. Article
  15. Article
  16. Article
  17. Knowledge translation of research findings.Implementation science : IS · 2012
    Article
  18. SUPPORT Tools for evidence-informed health Policymaking (STP).Health research policy and systems · 2009
    Article
  19. Article
  20. 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

4 authors.

Atle FretheimNorwegian Knowledge Centre for the Health Services, P.O. Box 7004, St. Olavs plass, N-0130 Oslo, Norway. atle.fretheim@nokc.no.
Andrew D Oxman
John N Lavis
Simon Lewin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article is part of a series written for people responsible for making decisions about health policies and programmes and for those who support these decision makers. The term monitoring is commonly used to describe the process of systematically collecting data to inform policymakers, managers and other stakeholders whether a new policy or programme is being implemented in accordance with their expectations. Indicators are used for monitoring purposes to judge, for example, if objectives are being achieved, or if allocated funds are being spent appropriately. Sometimes the term evaluation is used interchangeably with the term monitoring, but the former usually suggests a stronger focus on the achievement of results. When the term impact evaluation is used, this usually implies that there is a specific attempt to try to determine whether the observed changes in outcomes can be attributed to a particular policy or programme. In this article, we suggest four questions that can be used to guide the monitoring and evaluation of policy or programme options. These are: 1. Is monitoring necessary? 2. What should be measured? 3. Should an impact evaluation be conducted? 4. How should the impact evaluation be done?

Identifiers

PMID20018108
PMCPMC3271828

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.